Online Medical Consultation Service-Oriented Recommendations: Systematic Review

BACKGROUND

Online health communities have given rise to a new e-service known as online medical consultations (OMCs), enabling remote interactions between physicians and patients. To address challenges, such as patient information overload and uneven distribution of physician visits, online health communities should develop OMC-oriented recommenders.

OBJECTIVE

We aimed to comprehensively investigate what paradigms lead to the success of OMC-oriented recommendations.

METHODS

A literature search was conducted through e-databases, including PubMed, ACM Digital Library, Springer, and ScienceDirect, from January 2011 to December 2023. This review included all papers directly and indirectly related to the topic of health care-related recommendations for online services.

RESULTS

The search identified 611 articles, of which 26 (4.3%) met the inclusion criteria. Despite the growing academic interest in OMC recommendations, there remains a lack of consensus among researchers on the definition of e-service-oriented recommenders. The discussion highlighted 3 key factors influencing recommender success: features, algorithms, and metrics. It advocated for moving beyond traditional e-commerce-oriented recommenders to establish an innovative theoretical framework for e-service-oriented recommenders and addresses critical technical issues regarding 2-sided personalized recommendations.

CONCLUSIONS

This review underscores the essence of e-services, particularly in knowledge- and labor-intensive domains such as OMCs, where patients seek interpretable recommendations due to their lack of domain knowledge and physicians must balance their energy levels to avoid overworking. Our study's findings shed light on the importance of customizing e-service-oriented personalized recommendations to meet the distinct expectations of 2-sided users considering their cognitive abilities, decision-making perspectives, and preferences. To achieve this, a paradigm shift is essential to develop unique attributes and explore distinct content tailored for both parties involved.

Predicting hospital length of stay using machine learning on a large open health dataset

BACKGROUND

Governments worldwide are facing growing pressure to increase transparency, as citizens demand greater insight into decision-making processes and public spending. An example is the release of open healthcare data to researchers, as healthcare is one of the top economic sectors. Significant information systems development and computational experimentation are required to extract meaning and value from these datasets. We use a large open health dataset provided by the New York State Statewide Planning and Research Cooperative System (SPARCS) containing 2.3 million de-identified patient records. One of the fields in these records is a patient's length of stay (LoS) in a hospital, which is crucial in estimating healthcare costs and planning hospital capacity for future needs. Hence it would be very beneficial for hospitals to be able to predict the LoS early. The area of machine learning offers a potential solution, which is the focus of the current paper.

METHODS

We investigated multiple machine learning techniques including feature engineering, regression, and classification trees to predict the length of stay (LoS) of all the hospital procedures currently available in the dataset. Whereas many researchers focus on LoS prediction for a specific disease, a unique feature of our model is its ability to simultaneously handle 285 diagnosis codes from the Clinical Classification System (CCS). We focused on the interpretability and explainability of input features and the resulting models. We developed separate models for newborns and non-newborns.

RESULTS

The study yields promising results, demonstrating the effectiveness of machine learning in predicting LoS. The best R2 scores achieved are noteworthy: 0.82 for newborns using linear regression and 0.43 for non-newborns using catboost regression. Focusing on cardiovascular disease refines the predictive capability, achieving an improved R2 score of 0.62. The models not only demonstrate high performance but also provide understandable insights. For instance, birth-weight is employed for predicting LoS in newborns, while diagnostic-related group classification proves valuable for non-newborns.

CONCLUSION

Our study showcases the practical utility of machine learning models in predicting LoS during patient admittance. The emphasis on interpretability ensures that the models can be easily comprehended and replicated by other researchers. Healthcare stakeholders, including providers, administrators, and patients, stand to benefit significantly. The findings offer valuable insights for cost estimation and capacity planning, contributing to the overall enhancement of healthcare management and delivery.

Digital finance and corporate breakthrough innovation: Evidence from China

This paper empirically investigates the impact of digital finance on the breakthrough innovation of enterprises with a sample of A-share listed companies in Shanghai and Shenzhen from 2011 to 2022. It is found that digital finance can promote corporate breakthrough innovation, and presents certain structural heterogeneity characteristics. The mechanism test shows that digital finance has the dual attributes of a financing platform and a social platform, which can promote breakthrough innovation by alleviating corporate financing constraints and expanding corporate social networks. Heterogeneity analysis reveals that the role of digital finance in promoting breakthrough innovation is characterized by regional heterogeneity, with digital finance playing a greater role in promoting breakthrough innovation in provinces with a low level of development of the banking sector, provinces with a high level of development of the capital market sector, and the central region. In addition, the degree of firms' external financing dependence and the degree of product market competition can strengthen the positive effect of digital finance on firms' breakthrough innovation. This paper enriches the related research on the impact of digital finance on enterprise innovation, and provides theoretical basis and policy insights on how digital finance can better assist the innovation-driven development strategy.

AI and XAI second opinion: the danger of false confirmation in human-AI collaboration

Can AI substitute a human physician's second opinion? Recently the Journal of Medical Ethics published two contrasting views: Kempt and Nagel advocate for using artificial intelligence (AI) for a second opinion except when its conclusions significantly diverge from the initial physician's while Jongsma and Sand argue for a second human opinion irrespective of AI's concurrence or dissent. The crux of this debate hinges on the prevalence and impact of 'false confirmation'-a scenario where AI erroneously validates an incorrect human decision. These errors seem exceedingly difficult to detect, reminiscent of heuristics akin to confirmation bias. However, this debate has yet to engage with the emergence of explainable AI (XAI), which elaborates on why the AI tool reaches its diagnosis. To progress this debate, we outline a framework for conceptualising decision-making errors in physician-AI collaborations. We then review emerging evidence on the magnitude of false confirmation errors. Our simulations show that they are likely to be pervasive in clinical practice, decreasing diagnostic accuracy to between 5% and 30%. We conclude with a pragmatic approach to employing AI as a second opinion, emphasising the need for physicians to make clinical decisions before consulting AI; employing nudges to increase awareness of false confirmations and critically engaging with XAI explanations. This approach underscores the necessity for a cautious, evidence-based methodology when integrating AI into clinical decision-making.

How do students of different self-efficacy regulate learning in collaborative design activities? An epistemic network analysis approach

Introduction

Students' self-regulation skills and self-efficacy are linked to performance and are considered essential for lifelong learning. Understanding these skills and their development is crucial for educational success and long-term personal growth.

Methods

In this study, 60 students attending a university-level collaborative design course were recruited as participants. They were initially classified into three groups [high, mixed, and low self-efficacy (SE)] based on the initial test results. Students' written reflections were then analyzed using epistemic network analysis (ENA), aiming to explore the characteristics and developmental trajectories of self-regulated learning (SRL).

Results

Comparing with the other two groups, the high self-efficacy (HSE) group demonstrated: (1) more behavioral characteristics of SRL in the performance and self-reflection stages, (2) an earlier development of interest 91 in the task and recognition of its value during collaborative design activities, 92 followed by the utilization of more cognitive and metacognitive strategies; and (3) an "anticipation-behavior-reflection" loop in the self-regulation process.

Discussion

These findings highlight the importance of fostering high self-efficacy among students to enhance their self-regulated learning capabilities and overall academic performance. Strategies for improving learners' SRL and future research directions were provided accordingly.

Conversational presentation mode increases credibility judgements during information search with ChatGPT

People increasingly use large language model (LLM)-based conversational agents to obtain information. However, the information these models provide is not always factually accurate. Thus, it is critical to understand what helps users adequately assess the credibility of the provided information. Here, we report the results of two preregistered experiments in which participants rated the credibility of accurate versus partially inaccurate information ostensibly provided by a dynamic text-based LLM-powered agent, a voice-based agent, or a static text-based online encyclopedia. We found that people were better at detecting inaccuracies when identical information was provided as static text compared to both types of conversational agents, regardless of whether information search applications were branded (ChatGPT, Alexa, and Wikipedia) or unbranded. Mediation analysis overall corroborated the interpretation that a conversational nature poses a threat to adequate credibility judgments. Our research highlights the importance of presentation mode when dealing with misinformation.

Researchers' perceptions of the trustworthiness, for reuse purposes, of government health data in Victoria, Australia: Implications for policy and practice

In 2022 the Australian Data Availability and Transparency Act (DATA) commenced, enabling accredited "data users" to access data from "accredited data service providers." However, the DATA Scheme lacks guidance on "trustworthiness" of the data to be utilised for reuse purposes. Objectives: To determine: (i) Do researchers using government health datasets trust the data? (ii) What factors influence their perceptions of data trustworthiness? and (iii) What are the implications for government and data custodians? Method: Authors of published studies (2008-2020) that utilised Victorian government health datasets were surveyed via a case study approach. Twenty-eight trust constructs (identified via literature review) were grouped into data factors, management properties and provider factors. Results: Fifty experienced health researchers responded. Most (88%) believed that Victorian government health data were trustworthy. When grouped, data factors and management properties were more important than data provider factors in building trust. The most important individual trust constructs were: "compliant with ethical regulation" (100%) and "monitoring privacy and confidentiality" (98%). Constructs of least importance were knowledge of "participant consent" (56%) and "major focus of the data provider was research" (50%). Conclusion: Overall, the researchers trusted government health data, but data factors and data management properties were more important than data provider factors in building trust. Implications: Government should ensure the DATA Scheme incorporates mechanisms to validate those data utilised by accredited data users and data providers have sufficient quality (intrinsic and extrinsic) to meet the requirements of "trustworthiness," and that evidentiary documentation is provided to support these "accredited data."

A Lingual Agnostic Information Retrieval System

The exclusion of monolingual natives from cyberspace is a global socioeconomic and cultural problem. Efforts at addressing this problem have been socioeconomic, culminating in training, empowerment, and digital access with the indelible hurt of language inequities. This paper is aimed at the cyber-inclusion of monolingual natives. Since cyber participation is basically through human interaction with cyber-applications in a human language, encapsulating these applications for interaction in any human language will help evade the hurt of language inequities. Information retrieval system (IRS) remains a fundamental cyber-application. Consequently, adopting the design science research methodology, we introduced a lingual agnostic IRS architecture designed on the principle of transparency on user language detection, information translations, and caching. The detailed design of the architecture was done using the unified modeling language. The designed IRS architecture has been implemented using the agile and component-based software engineering approaches. The resultant lingual agnostic IRS (LAIRS) was evaluated using heuristics and system evaluation methods for parity of language of interaction against the default language and was excellently stable across queries and languages, guaranteeing 86% parity with the default language in the use of other languages for information access and retrieval. Furthermore, it has been shown that LAIRS is the most appropriate IRS to address the problem of language barriers to cyber-inclusion compared with existing IRSs.

Is adding resources always beneficial? Multiplicative impact of psychological capital and goal-oriented climate on Spanish public worker satisfaction and engagement

Introduction

The motivation process from personal resources to commitment of administrative employees is still little studied. This article uses the Job Demands-Resources model to investigate how the multiplicative effect of personal resources and a goal-oriented climate among public employees influences their satisfaction and engagement at work. Specifically, it proposes a model where the influence of psychological capital on engagement is mediated by job satisfaction and moderated by the goal orientation climate.

Method

A total of 326 employees of the administrative staff of a Spanish Public Administration answered a self-reported survey. Partial Least Square-Structural Equation Modeling (PLS-SEM) approach was used to evaluate the validity and reliability of the data, as well as, to test the hypotheses formulated.

Results

The SEM results show the positive impact of psychological capital on employee engagement, and the mediating role of job satisfaction in this relationship. Furthermore, the existence of a goal-oriented climate negatively moderated the relationship between Psychological Capital and Job Satisfaction, reducing the mediation effect.

Discussion

These findings open new doors for future research in the necessary adaptation of human resource policies to improve the motivation process in the public administration context.

Acceptance of AI in Health Care for Short- and Long-Term Treatments: Pilot Development Study of an Integrated Theoretical Model

BACKGROUND

As digital technologies and especially artificial intelligence (AI) become increasingly important in health care, it is essential to determine whether and why potential users intend to use related health information systems (HIS). Several theories exist, but they focus mainly on aspects of health care or information systems, in addition to general psychological theories, and hence provide a small number of variables to explain future behavior. Thus, research that provides a larger number of variables by combining several theories from health care, information systems, and psychology is necessary.

OBJECTIVE

This study aims to investigate the intention to use new HIS for decisions concerning short- and long-term medical treatments using an integrated approach with several variables to explain future behavior.

METHODS

We developed an integrated theoretical model based on theories from health care, information systems, and psychology that allowed us to analyze the duality approach of adaptive and nonadaptive appraisals and their influence on the intention to use HIS. We applied the integrated theoretical model to the short-term treatment using AI-based HIS for surgery and the long-term treatment of diabetes tracking using survey data with structured equation modeling. To differentiate between certain levels of AI involvement, we used several scenarios that include treatments by physicians only, physicians with AI support, and AI only to understand how individuals perceive the influence of AI.

RESULTS

Our results showed that for short- and long-term treatments, the variables perceived threats, fear (disease), perceived efficacy, attitude (HIS), and perceived norms are important to consider when determining the intention to use AI-based HIS. Furthermore, the results revealed that perceived efficacy and attitude (HIS) are the most important variables to determine intention to use for all treatments and scenarios. In contrast, abilities (HIS) were important for short-term treatments only. For our 9 scenarios, adaptive and nonadaptive appraisals were both important to determine intention to use, depending on whether the treatment is known. Furthermore, we determined R² values that varied between 57.9% and 81.7% for our scenarios, which showed that the explanation power of our model is medium to good.

CONCLUSIONS

We contribute to HIS literature by highlighting the importance of integrating disease- and technology-related factors and by providing an integrated theoretical model. As such, we show how adaptive and nonadaptive appraisals should be arranged to report on medical decisions in the future, especially in the short and long terms. Physicians and HIS developers can use our insights to identify promising rationale for HIS adoption concerning short- and long-term treatments and adapt and develop HIS accordingly. Specifically, HIS developers should ensure that future HIS act in terms of HIS functions, as our study shows that efficient HIS lead to a positive attitude toward the HIS and ultimately to a higher intention to use.

The Roles of Proactive Personality and Career Satisfaction in the Impact of Employer Brand Attributes Congruence on Creativity

Although the relationship between employer brand and employee creativity has become a popular theme, this nexus is indirect and ambiguous. Additionally, most studies ignore the consistency of instrumental and symbolic attributes when discussing the consequences of employer brand. This study explored the mechanism of employer brand attributes congruence on employee creativity through career satisfaction, and further revealed the moderating role of proactive personality. Based on the cue consistency theory and the social information processing theory, a polynomial regression model was created and a response surface analysis was conducted using 488 paired questionnaires. The results showed that employer brand attributes congruence impacted employee creativity via career satisfaction. A consistent employer brand strategy is more effective for the creativity of less proactive individuals, while a high-level proactive personality can compensate for the deficiencies of employer brand attributes incongruence. The results complemented employer brand research from the perspective of the instrumental-symbolic attribute configuration and provided supportive empirical evidence of employer brand practices aiming at improving employee creativity. This study has certain practical implications for HR practitioners.

Relationship among group learning, individuals' and groups' internalization of evidence-based practice, and nurses' sustainment of the practice: a cross-sectional study

PURPOSE

This study, by applying the feedback process of the organizational learning model, examined the relationships among group learning, individuals' and groups' internalization of institutionalized evidence-based practice (I-EBP), and nurses' sustainment of I-EBP.

DESIGN/METHODOLOGY/APPROACH

Twelve hospitals were included in this cross-sectional study, with 1,741 nurses from 59 wards. Anonymous questionnaires were administered from October to December 2021. Participants self-reported their wards' group learning, internalization of I-EBP, sustainment of I-EBP, EBP beliefs, intra-hospital transfers, and nursing research experiences. The number of nurses and I-EBP introduction length and type of I-EBP were assessed. Internalization of I-EBP of nurses and groups was considered the mediating variable, while group learning and nurses' sustainment of I-EBP were the independent and dependent variables, respectively. Significant variables in bivariate analyses were used as control variables. Multi-level Mediation Analysis and a significance test of indirect effect using the bootstrap method were conducted.

FINDINGS

Responses from 360 nurses in 48 wards from 12 hospitals were analyzed. Groups' internalization of I-EBP significantly mediated the relationship between group learning and nurses' sustainment of I-EBP. In contrast, no significant mediating effect of nurses' internalization of I-EBP was observed.

ORIGINALITY/VALUE

In the feedback process of organizational learning, group learning and its subsequent effects on individuals and groups have not been previously examined. Regardless of the nurses' degree of internalization of I-EBP, those who belong to the ward with a high degree of internalization of I-EBP are more likely to sustain it. Conducting group learning may prevent superficial practice, resulting in its sustainability.

Servitization level, digital transformation, and enterprise performance of sporting goods manufacturing enterprises in China

To identify the effect and mechanism of servitization level and digital transformation on the performance of listed sporting goods manufacturing enterprises in China, we construct an index to measure the degree of digital transformation using data from 31 sporting goods manufacturing firms listed on Shanghai and Shenzhen A-shares and the New Over-the-Counter Market in China. The study uses the proportion of service business income in enterprise operating income to quantify servitization level, by analyzing the semantic expression of national digital economy policy and collecting digital category keywords from enterprise annual reports using crawler technology. Thereafter, we analyze the impact of servitization extent and digital transformation on company outcomes as well as if digital evolution acts as a moderating factor between servitization and company outcomes. The findings indicate that the extent of servitization reduces the outcomes of publicly traded sporting commodities production companies, showing a servitization paradox occurrence. Digital transformation degree has a positive U-shaped impact on enterprise performance and a weak positive moderating effect on servitization level and enterprise performance.

Research on the evolution mechanism of intelligent manufacturing transformation of Chinese pharmaceutical manufacturing enterprises based on system dynamics

Under the impetus of the new industrial revolution, how to realize intelligent manufacturing transformation of traditional pharmaceutical manufacturing enterprises has realistic urgency. The study starts from the perspective of complex adaptive system, constructs a system dynamics model of the evolution mechanism of intelligent manufacturing transformation of pharmaceutical manufacturing enterprises based on technological adaptation and evolutionary adaptation, and analyzes it by simulation using Vensim PLE software. The results of the study show that pharmaceutical manufacturing enterprises utilize technological affordances to provide support to realize network product-based manufacturing capability and smart product-based manufacturing capability through technological innovation capability and institutional optimization capability; the technological affordances environment promotes the realization of intelligent manufacturing transformation of pharmaceutical manufacturing enterprises to present a stage transformation law. The study enriches and extends the research paradigm of intelligent manufacturing transformation, and provides a reference for pharmaceutical manufacturing enterprises to realize intelligent manufacturing transformation.

Influence of financial accounting information transparency on supply chain financial decision-making

The study examines the ecological and economic effects of the Chinese environment supply chain financial decision-making recommendation systems from 2009 to 2021. Environment analytics has become essential for organizations because of the rapid growth of digital technology and data. This technology offers exceptional corporate performance and environmental sustainability opportunities. This research uses Spatial Durbin Models and mediation effect analysis to examine how environment adoption affects key company performance measures. It also discusses the differences between industry and business models. Environment technologies improve operating efficiency, customer happiness, and company value. According to findings, environmental technology may streamline operational operations, boost customer happiness, and generate value, improving financial performance. Big data has ecological benefits, according to the findings. Environment technology may reduce a firm's environmental effect by improving operational efficiency and allowing sustainable practices. Research shows significant industry and organizational differences. This highlights the need for ecological plans for each sector's needs. Big data also mediates, showing that the environment may affect other operational aspects and increase their impact. Data ethics and responsibility are crucial. The findings demonstrate that the climate may support sustainable behaviors and meet environmental sustainability goals. To better understand big data's revolutionary power. Enterprises must carefully manage and responsibly use this powerful tool to maximize its benefits and minimize its disadvantages. This research will shape environmental strategies and practices as digital possibilities present themselves to enterprises and society.

Evaluating the moderating role of governance on the relationships between social inclusion, ICT infrastructure, and financial inclusion

In this paper, we examine the Moderating Role of Governance on the Relationships between social inclusion (SI), Information and communication technology infrastructure (ICT), and financial inclusion (FI) in 46 countries representing a global sample span from 2010 to 2020. We collect the data from the IMF's financial access survey and construct a multidimensional FI index. Based on the FI index, we divide the sample into two sub-samples (med-high level and low-level FI countries). For the empirics, we employed panel-corrected standard errors, fully modified ordinary least squares and dynamic ordinary least squares techniques. We find that SI is negatively related to FI. ICT infrastructure positively influences FI. Further, we find that governance with sound ICT infrastructure and socially inclusive communities enhances FI. The findings of sub-samples are similar to the full sample results except for a promoting effect of SI and governance in the case of med-high financially inclusive economies. Moreover, the Interaction term of governance and ICT infrastructure is insignificant in med-high financially inclusive economies and negatively significant in low financially inclusive economies. Our study reports novel findings which have significant implications for policymakers and financial institutions to effectively develop and implement new policies which strengthen the institutional base, develop digital banking infrastructure, enhance SI to boost up FI and ensure sustainable economic growth.

Online Self-Presentation by Traditional Chinese Medicine and Western Medicine Medical Professionals in China

Despite increasing research that examines language features of online medical consultation (OMC) conversations in China, limited attention has been directed to how medical professionals purposefully present themselves in their biographies on OMC websites, an emerging genre of health communication, with even fewer comparative studies on traditional Chinese medicine (TCM) and Western medicine (WM) medical professionals in this regard. To fill these gaps, this study compares the personal claims and self-presentational strategies used in TCM and WM medical professionals' biographies on a Chinese OMC website. It is found that while Chinese TCM and WM medical professionals present themselves in similar ways, they also demonstrate some important differences. The similarities may be driven by their shared goal of building trust in the OMC context, whereas the differences may be ascribed to TCM-WM differences in clinical philosophies, education histories, clinical cultures, and medical practices.

Gender effects in crowdfunded business loan campaigns

Crowdfunding is a growing source of finance for entrepreneurs. In this paper, we investigate the existence of a gender effect in the time needed to obtain a business loan through crowdfunding. Using data from three Dutch crowdfunding platforms, survival analysis of the time to completion for 934 business loan campaigns shows that female entrepreneurs have a 20% shorter campaign completion time compared to male entrepreneurs, whereas couples do not differ from males. This effect persists across the different platforms. Subsequent analysis shows that female entrepreneurs do not have the disadvantage they face in traditional lending channels when requesting funds through crowdfunding, and that herding behavior by investors benefits female entrepreneurs most.

Enhancing telehealth services development in Pakistani healthcare sectors through examining various medical service quality characteristics

Introduction

The telehealth service increased attention both during and after the Covid-19 outbreak. Nevertheless, there is a dearth of research in developing countries, including Pakistan. Hence, the objective of this study was to examine telehealth service quality dimensions to promote the telehealth behavior intention and sustainable growth of telehealth in Pakistan.

Methods

This study employed a cross-sectional descriptive design. Data were collected from doctors who were delivering telehealth services through a well-designed questionnaire. To examine the hypothesis of the study, we employed the Smart PLS structural equation modeling program, namely version 0.4.

Results

The study findings indicate that medical service quality, affordability, information quality, waiting time, and safety have a positive impact on the intention to engage in telehealth behavior. Furthermore, the adoption of telehealth behavior has a significant favorable effect on the actual utilization of telehealth services, which in turn has a highly good impact on sustainable development.

Conclusion

The study determined that telehealth services effectively decrease the amount of time and money spent on travel, while still offering convenient access to healthcare. Furthermore, telehealth has the potential to revolutionize payment methods, infrastructure, and staffing in the healthcare industry. Implementing a well-structured telehealth service model can yield beneficial results for a nation and its regulatory efforts in the modern age of technology.

How backers' behavior affects financing performance in agri-food reward-based crowdfunding: The moderating mechanism of initiator characteristics and project attributes

Crowdfunding is a new type of financing favored by entrepreneurs in need of capital. Financing performance is a key concern for crowdfunding project initiators. Although a growing number of studies have investigated the factors that affect the financing performance of crowdfunding projects, there are still some issues that need to be further clarified. How does the investment behavior of backers, as the supply side of finance, affect the financing performance of project in reward-based crowdfunding? What are the moderating mechanisms of this influence by initiator characteristics and project attributes? Based on a panel data set from Zhongchou, a famous agri-food crowdfunding platform in China, this paper finds that the investment speed, the investment intensity, the number of early backers, the backers' comments, and the number of selfless backers all have significant effects on financing performance. The core trust factors of initiator characteristics and project attributes play a moderating role in the relationship between backer investment behavior and financing performance, but there are differences in the moderating mechanisms. Based on the research conclusions, practical enlightenment is proposed for initiators, crowdfunding platforms, and regulators.

Relationship and mechanisms between internet use and physical exercise among middle- and younger-aged groups

The "Internet Plus" era has established a closer connection between sports and individuals. This study used data from the 2018 China Family Panel Studies and focused on the middle- and younger-aged population aged 15 to 59 years. Employing a negative binomial regression model, this study empirically analyzed the impact of Internet use on physical exercise and its internal mechanisms among this population. The findings revealed that (1) Internet use significantly promoted physical exercise in the middle- and younger-aged population, with the frequency of physical exercise increasing to 1.549 times the original value; (2) The positive effects of the internet on physical exercise outweighed the negative effects, with online learning and entertainment enhancing physical exercise and online socialization limiting it. Specifically, online learning and entertainment increased the frequency of physical exercise among the middle- and younger-aged population by 0.063 and 0.018, respectively. Online socialization reduced the frequency by 0.023; and (3) The influence of internet use on physical exercise varies; significantly, it positively affects the exercise frequency among individuals over 35 years old and shows a positive correlation with employment status, including both employed individuals and those out of the labor market. The positive role of Internet use in encouraging physical exercise participation among the middle- and young-aged groups should be valued and enhanced.

HCI-modelling for improving the clinical usability of digital health technologies

INTRODUCTION

Digital Health Technologies (DHTs) have been shown to have variable usability as measured by efficiency, effectiveness and user satisfaction despite large-scale government projects to regulate and standardise user interface (UI) design. We hypothesised that Human-Computer Interaction (HCI) modelling could improve the methodology for DHT design and regulation, and support the creation of future evidence-based UI standards and guidelines for DHTs.

METHODOLOGY

Using a Design Science Research (DSR) framework, we developed novel UI components that adhered to existing standards and guidelines (combining the NHS Common User Interface (CUI) standard and the NHS Design System). We firstly evaluated the Patient Banner UI component for compliance with the two guidelines and then used HCI-modelling to evaluate the "Add New Patient" workflow to measure time to task completion and cognitive load.

RESULTS

Combining the two guidelines to produce new UI elements is technically feasible for the Patient Banner and the Patient Name Input components. There are some inconsistencies between the NHS Design System and the NHS CUI when implementing the Patient Banner. HCI-modelling successfully quantified challenges adhering to the NHS CUI and the NHS Design system for the "Add New Patient" workflow.

DISCUSSION

We successfully developed new design artefacts combing two major design guidelines for DHTs. By quantifying usability issues using HCI-modelling, we have demonstrated the feasibility of a methodology that combines HCI-modelling into a human-centred design (HCD) process could enable the development of standardised UI elements for DHTs that is more scientifically robust than HCD alone.

CONCLUSION

Combining HCI-modelling and Human-Centred Design could improve scientific progress towards developing safer and more user-friendly DHTs.

Intelligent health in the IS area: A literature review and research agenda

As the global demand for healthcare services continues to grow, improving the efficiency and effectiveness of the healthcare ecosystem has become a pressing concern. Information systems are transforming the healthcare delivery process, shifting the focus of healthcare services from passive disease treatment to proactive health prevention and the healthcare management model from hospital-centric to patient-centric. This study focuses on reviewing research in IS journals on the topic of e-health and is dedicated to constructing a theoretical model of intelligent health to provide a research basis for future discussions in this field. In addition, as the innovation of intelligent healthcare services has led to changes in its elements (e.g., an increase in the number of stakeholders), there is an urgent need to sort out and analyze the existing research.

A mobile-based self-care application for patients with chronic obstructive pulmonary disease: A protocol for design, implementation, and evaluation

Background and Aims

Education and providing self-care skills are essential for patients with chronic respiratory disease. Today, the use of information and communication technologies has provided many opportunities for facilitating self-care in chronic patients. In this regard, the attention of researchers has been shifted toward the design and use of mobile phone-based technologies for self-care purposes in patients with chronic obstructive pulmonary disease (COPD). In this study, a protocol is proposed for the design, implementation, and evaluation of a mobile-based self-care application for patients with COPD.

Methods

The design science approach will be used in the design, implementation, and evaluation of the self-care application. This solution-oriented paradigm goes beyond the level of description and explanation and takes steps toward problem-solving. One of the most common models of design science is the waterfall model of information technology development. The seven consecutive stages of the waterfall model include preliminary analysis, system analysis, design, programming, testing, implementation, and maintenance/modification.

Conclusion

The present protocol is the first to design, implement, and evaluate a mobile-based self-care application for patients with COPD in Iran. The integration of new technologies for the self-care education of COPD patients is considered an innovative strategy. This application is designed based on the self-care needs of COPD patients, which will ultimately promote the self-care activities of patients.

Translating environmental corporate social responsibility into environmental performance and competitive advantage: a moderated mediation model

Organizations are extending their corporate social responsibility (CSR) practices to environmental corporate social responsibility (ECSR) to cope with environmental challenges. Yet, the process of translating ECSR into positive organizational outcomes is underdeveloped in the literature. The literature often ignored key boundary conditions, leaving the underlying mechanism underdeveloped. This research makes up for the deficiency by investigating the impact of ECSR on environmental performance and competitive advantage through the mediation of green product innovation and by examining important boundary conditions in a moderated mediation model. We collected data from 151 manufacturing companies using judgmental and snowball sampling to ensure that the target organizations perform certain ECSR activities and analyzed it using partial least square structural equation modelling (PLS-SEM). The findings reveal that ECSR leads to competitive advantage (CA) and environmental performance (EP) through green product innovation, and this indirect path is moderated by organizational agility. The findings add substantial value to the literature by documenting the impact of ECSR on CA and EP with moderated mediation paths. The study also offers implications for policymakers and managers to amplify the impact of ECSR on favorable organizational outcomes.

Factors impacting the adoption of big data in healthcare: A systematic literature review

BACKGROUND

The term "big data" refers to the vast volume, variety, and velocity of data generated from various sources-e.g., sensors, social media, and online platforms. Big data adoption within healthcare poses an intriguing possibility for improving patients' health, increasing operational efficiency, and enabling data-driven decision-making. Despite considerable interest in the adoption of big data in healthcare, empirical research assessing the factors impacting the adoption process is lacking. Therefore, this review aimed to investigate the literature using a systematic approach to explore the factors that affect big data adoption in healthcare.

METHODS

A systematic literature review was conducted. The methodical and thorough process of discovering, assessing, and synthesizing relevant studies provided a full review of the available data. Several databases were used for the information search. Most of the articles retrieved from the search came from popular medical research databases, such as Scopus, Taylor & Francis, ScienceDirect, Emerald Insights, PubMed, Springer, IEEE, MDPI, Google Scholar, ProQuest Central, ProQuest Public Health Database, and MEDLINE.

RESULTS AND CONCLUSION

The results of the systematic literature review indicated that several theoretical frameworks (including the technology acceptance model; the technology, organization, and environment framework; the interactive communication technology adoption model; diffusion of innovation theory; dynamic capabilities theory; and the absorptive capability framework) can be used to analyze and understand technology acceptance in healthcare. It is vital to consider the safety of electronic health records during the use of big data. Furthermore, several elements were found to determine technological acceptance, including environmental, technological, organizational, political, and regulatory factors.

A review of incidents related to health information technology in Swedish healthcare to characterise system issues as a basis for improvement in clinical practice

This study examined health information technology-related incidents to characterise system issues as a basis for improvement in Swedish clinical practice. Incident reports were collected through interviews together with retrospectively collected incidents from voluntary incident databases, which were analysed using deductive and inductive approaches. Most themes pertained to system issues, such as functionality, design, and integration. Identified system issues were dominated by technical factors (74%), while human factors accounted for 26%. Over half of the incidents (55%) impacted on staff or the organisation, and the rest on patients - patient inconvenience (25%) and patient harm (20%). The findings indicate that it is vital to choose and commission suitable systems, design out "error-prone" features, ensure contingency plans are in place, implement clinical decision-support systems, and respond to incidents on time. Such strategies would improve the health information technology systems and Swedish clinical practice.

Prospects for Augmenting Team Interactions with Real-Time Coordination-Based Measures in Human-Autonomy Teams

Complex work in teams requires coordination across team members and their technology as well as the ability to change and adapt over time to achieve effective performance. To support such complex interactions, recent efforts have worked toward the design of adaptive human-autonomy teaming systems that can provide feedback in or near real time to achieve the desired individual or team results. However, while significant advancements have been made to better model and understand the dynamics of team interaction and its relationship with task performance, appropriate measures of team coordination and computational methods to detect changes in coordination have not yet been widely investigated. Having the capacity to measure coordination in real time is quite promising as it provides the opportunity to provide adaptive feedback that may influence and regulate teams' coordination patterns and, ultimately, drive effective team performance. A critical requirement to reach this potential is having the theoretical and empirical foundation from which to do so. Therefore, the first goal of the paper is to review approaches to coordination dynamics, identify current research gaps, and draw insights from other areas, such as social interaction, relationship science, and psychotherapy. The second goal is to collate extant work on feedback and advance ideas for adaptive feedback systems that have potential to influence coordination in a way that can enhance the effectiveness of team interactions. In addressing these two goals, this work lays the foundation as well as plans for the future of human-autonomy teams that augment team interactions using coordination-based measures.

Assessing the usability of an immersive virtual reality grocery store in healthy controls

BACKGROUND

Immersive virtual reality (IVR) as a research platform to study human behaviors is an emerging field and may be useful for studying self-care management, especially in the gap between formal healthcare recommendations and day-to-day living. Self-care activities, such as grocery shopping, can be challenging for people with chronic illness. We developed an IVR environment that simulates a real-life grocery store and conducted a usability study to demonstrate the safety and acceptability of IVR as an experimental environment.

METHODS

This study was a three-arm randomized control trial involving 24 participants, conducted as a usability study to evaluate aspects of the experimental condition including the effectiveness of a training exposure, the occurrence of undesirable effects associated with IVR, and participants' experiences of realism, immersion, and spatial presence. The experiment, using a head mounted device and handheld controllers, included a 10-minute training exposure, followed by one of three unique 30-minute experimental conditions which exposed participants to different combinations of tasks and stimuli, and a post-experience interview. We measured controller errors, undesirable symptoms associated with IVR, and the perception of realism, immersion, and spatial presence.

RESULTS

Participants used controllers effectively to interact within the IVR environment. Hand controller use errors were fewer during the experimental conditions compared to the training exposure. Minimal undesirable IVR symptoms were reported. Presence was rated in the middle range with no significant differences based on experimental condition. Overall, user experience feedback was positive.

CONCLUSIONS

We demonstrated that participants could engage in our IVR environment without excessive error or experiencing undesirable effects and confirmed that the virtual experience attained a level of presence necessary to effectively engage in the study. These findings give us confidence that this IVR intervention designed to explore instrumental activities of daily living is safe, effective and provides a credible, controlled simulated community-like setting.

Usability of a telehealth-nurse supported home-based walking training for peripheral arterial disease - The Keep Pace! pilot study

Background: Guidelines recommend walking trainings for peripheral arterial disease (PAD) management. Supervised walking training is superior to walking advise to improve the walking distance. Telehealth service with nurse support may close this gap. Patients and methods: This study introduces a telehealth service, "Keep pace!", which has been developed for patients with symptomatic PAD (Fontaine stage IIa and IIb), enabling a structured home-based walking training while monitoring progress via an app collecting unblinded account of steps and walking distance in self-paced 6-minute-walking-tests by geolocation tracking to enhance intrinsic motivation. Supervision by nurses via telephone calls was provided for 8 weeks, followed by 4 weeks of independent walking training. Patient satisfaction, walking distance and health-related quality of life were assessed. Results: 19 patients completed the study. The analysis revealed an overall high satisfaction with the telehealth service (95.4%), including system quality (95.1%), information quality (94.4%), service quality (95.6%), intention to use (92.8%), general satisfaction with the program (98.4%) and health benefits (95.8%). 78.9% asserted that the telehealth service lacking nurse calls would be less efficacious. Pain-free walking distance (76.3±36.8m to 188.4±81.2m, +112.2%, p<0.001) as well as total distance in 6-minute-walking test (308.8±82.6m to 425.9±107.1m, +117.2%, p<0.001) improved significantly. The telehealth service significantly reduced discomfort by better pain control (+15.5%, p=0.015) and social participation (+10.5%, p=0.042). Conclusions: In conclusion, patients were highly satisfied with the telehealth service. The physical well-being of the PAD patients improved significantly post vs. prior the telehealth program.

EEG Correlates of Moral Decision-Making: Effect of Choices and Offers Types

BACKGROUND

Moral decision-making consists of a complex process requiring individuals to evaluate potential consequences of personal and social decisions, including applied organizational contexts.

METHODS

This research aims to investigate the behavioral (offer responses and reaction times, RTs) and electrophysiological (EEG) correlates underlying moral decision-making during three different choice conditions (professional fit, company fit, and social fit) and offers (fair, unfair, and neutral).

RESULTS

An increase of delta and theta frontal activity (related to emotional behavior and processes) and beta frontal and central activity (linked to cognitive and attentional processes) was found. A left beta, delta, and theta frontal activity was observed for fair offers in professional fit conditions, while increased right frontal delta and theta activity was found in response to unfair offers in company fit conditions. Also, an increase of left delta and theta parietal activity for unfair offers in social fit condition was detected. Finally, higher accepted responses were found for fair and neutral offers in professional and social fit conditions, with increased RTs for unfair offers suggesting decisions' cognitive load and complexity.

CONCLUSIONS

By revealing a greater involvement of left and right frontal areas in decision-making processes based on choices and offers, personal interest evaluations and emotional values, and of parietal areas in more prosocial and altruistic moral behavior, current findings provide information about the neural and behavioral correlates underlying company moral behavior.

Community notes increase trust in fact-checking on social media

Community-based fact-checking is a promising approach to fact-check social media content at scale. However, an understanding of whether users trust community fact-checks is missing. Here, we presented n = 1,810 Americans with 36 misleading and nonmisleading social media posts and assessed their trust in different types of fact-checking interventions. Participants were randomly assigned to treatments where misleading content was either accompanied by simple (i.e. context-free) misinformation flags in different formats (expert flags or community flags), or by textual "community notes" explaining why the fact-checked post was misleading. Across both sides of the political spectrum, community notes were perceived as significantly more trustworthy than simple misinformation flags. Our results further suggest that the higher trustworthiness primarily stemmed from the context provided in community notes (i.e. fact-checking explanations) rather than generally higher trust towards community fact-checkers. Community notes also improved the identification of misleading posts. In sum, our work implies that context matters in fact-checking and that community notes might be an effective approach to mitigate trust issues with simple misinformation flags.

Blockchain governance and trust: A multi-sector thematic systematic review and exploration of future research directions

This paper aims to critically examine the scholarly work conducted in blockchain (BC) governance. Without venturing into the wide range of governance paradigms, this research considers governance structures based on trust as a foundation for BC governance. A thematic systematic literature review is conducted to understand the literature on this topic, employing the SALSA (Search, Appraisal, Synthesis and Analysis) technique. An examination of 155 papers shows that using BC technology (BCT) replaces the cognitive attribution of trust in the material and human-independent code. It is also found that further research anchored to the 'trust' concept is required in building BC governance structures. To provide the direction in which the literature is travelling, future research questions on trust and governance are documented. In general, the literature review suggests that BC has the potential to revolutionize the way in which businesses operate. By improving transparency, efficiency, and security, BC can help businesses to reduce costs, improve customer satisfaction, and make better decisions. This research can help policymakers, industrialists, and researchers to identify where BC governance is being used and which aspects of governance are to be focused on. This paper is a general review of literature and evidence on contemporary developmental issues.

How does the data element-driven industry affect corporate cash holdings? Evidence from Chinese listed companies

The data element-driven industry (DEDI) generates large amounts of data, thereby mitigating information asymmetry. Does this affect corporate cash holdings? On the basis of theoretical analysis, this study empirically analyzes the impact of DEDI on enterprises' cash holdings and its transmission path using data of Chinese cities and A-share listed enterprises from 2008 to 2020. First, the results indicate that the DEDI reduces corporate cash holdings. As the development level of the DEDI improves, the corporate cash holdings gradually decrease. Second, the DEDI indirectly affects corporate cash holdings by influencing debt-financing and external credit supply capacities. Specifically, the DEDI increases the upstream corporate debt-financing and downstream corporate external credit supply capacities. Improvements in debt-financing and the external credit supply capacities can reduce corporate cash holdings. Third, the DEDI has a heterogeneous impact. For enterprise with CEO duality, small and medium-sized, and information technology enterprises, the impact of DEDI in reducing cash holdings is greater.

The role of mGovernment applications in building trust during public crises: Evidence from the COVID-19 epidemic

Throughout the COVID-19 pandemic, China effectively contained the virus, resulting in increased public trust in the government. Mobile government (mGovernment) applications (apps) played a critical role in this improvement. This study aims to examine how mGovernment apps build citizens' trust in governments during public crises. The DeLone and McLean Information Systems Success Model (ISSM) is used to evaluate the quality of these apps. Public satisfaction serves as an intermediary variable, while public awareness of epidemic risks in sudden public relations crises acts as a moderating variable to explore the impact of mGovernment apps on government trust. Data analysis is conducted using SPSS Statistics 22.0 and AMOS 21.0. The study's results show that the system quality, information quality, and service quality of mobile government apps influence citizens' trust in governments through the mediating effect of public satisfaction. All three factors positively correlate with public satisfaction, with service quality having the greatest impact. Similarly, system quality, information quality, and service quality are positively correlated with public trust in governments, with system quality having the most noticeable influence. There is a strong correlation between public satisfaction and trust in governments, and the mediating effect of public satisfaction is significant. In addition, epidemic risk perception moderates the relationship between public satisfaction and citizens' trust in governments.

The Effect of Digital Platform Strategies on Firm Value in the Banking Industry

After digital platforms have become successful in the information technology (IT) industry, incumbents from traditional industries increasingly implement digital platform strategies. However, there is mixed evidence on whether these incumbents benefit from digital platform strategies. To provide systematic insights, we focus on the banking industry. With the emergence of open banking, banks have begun implementing digital platforms to unlock the innovative power of third-party developers. We conducted an event study based on the announcement of digital platform strategies in a global sample of 165 banks. We show that, on average, investors react positively to the announcements. Contrary to our expectations, this effect is more substantial for banks from emerging markets than those from developed markets. Prior artificial intelligence (AI) orientation only partly contributes to investors' favorable perception of a digital platform strategy. These results point to the complex interplay of AI orientation and digital platform strategies, yielding questions for future research.

Constructing and implementing a performance evaluation indicator set for artificial intelligence decision support systems in pediatric outpatient clinics: an observational study

Artificial intelligence (AI) decision support systems in pediatric healthcare have a complex application background. As an AI decision support system (AI-DSS) can be costly, once applied, it is crucial to focus on its performance, interpret its success, and then monitor and update it to ensure ongoing success consistently. Therefore, a set of evaluation indicators was explicitly developed for AI-DSS in pediatric healthcare, enabling continuous and systematic performance monitoring. The study unfolded in two stages. The first stage encompassed establishing the evaluation indicator set through a literature review, a focus group interview, and expert consultation using the Delphi method. In the second stage, weight analysis was conducted. Subjective weights were calculated based on expert opinions through analytic hierarchy process, while objective weights were determined using the entropy weight method. Subsequently, subject and object weights were synthesized to form the combined weight. In the two rounds of expert consultation, the authority coefficients were 0.834 and 0.846, Kendall's coordination coefficient was 0.135 in Round 1 and 0.312 in Round 2. The final evaluation indicator set has three first-class indicators, fifteen second-class indicators, and forty-seven third-class indicators. Indicator I-1(Organizational performance) carries the highest weight, followed by Indicator I-2(Societal performance) and Indicator I-3(User experience performance) in the objective and combined weights. Conversely, 'Societal performance' holds the most weight among the subjective weights, followed by 'Organizational performance' and 'User experience performance'. In this study, a comprehensive and specialized set of evaluation indicators for the AI-DSS in the pediatric outpatient clinic was established, and then implemented. Continuous evaluation still requires long-term data collection to optimize the weight proportions of the established indicators.

Using the Theory of Perceived Value to Determine the Willingness to Consume Foods from a Healthy Brand: The Role of Health Consciousness

Eating low amounts of healthy foods leads to high rates of diet-related diseases. How can we control and reduce the increase in these diseases? One of the recommendations is to improve nutritional competence, which means greater health consciousness. The objective of the present study is to determine the influence of health consciousness on the dimensions of perceived value and their impact on the willingness to consume foods from a healthy brand. Through a non-experimental, cross-sectional, and explanatory study, the responses of 518 participants (men and women) who confirmed being consumers of the healthy brands of food were analyzed. The study included adults aged from 18 to 58 years recruited using non-probability sampling. Data was collected using a self-report form and statistically analyzed using Smart PLS. The findings support that health awareness positively and significantly influences perceived quality value, perceived financial value, perceived social value, and perceived emotional value; contrary to this, it was detected that the perceived financial value does not influence the willingness to consume foods from healthy brands. This study contributes significantly to health science by showing how the theory of perceived value predicts the intention to consume healthy brands, with health consciousness intervening in this prediction. Therefore, it is concluded that the study population that consumes healthy foods has experienced the positive impact of perceived value and reports that the factors that comprise it influence their intention to consume healthy foods.

Regulatory mechanism of vulnerability disclosure behavior considering security crowd-testing: An evolutionary game analysis

The security crowd-testing regulatory mechanism is a vital means to promote collaborative vulnerability disclosure. However, existing regulatory mechanisms have not considered multi-agent responsibility boundaries and stakeholders' conflicts of interest, leading to their dysfunction. Distinguishing from previous research on the motivations and constraints of ethical hacks' vulnerability disclosure behaviors from a legal perspective, this paper constructs an evolutionary game model of SRCs, security researchers, and the government from a managerial perspective to propose regulatory mechanisms promoting tripartite collaborative vulnerability disclosure. The results show that the higher the initial willingness of the three parties to choose the collaborative strategy, the faster the system evolves into a stable state. Regarding the government's incentive mechanism, establishing reward and punishment mechanisms based on effective thresholds is essential. However, it is worth noting that the government has an incentive to adopt such mechanisms only if it receives sufficient regulatory benefits. To further facilitate collaborative disclosure, Security Response Centers (SRC) should establish incentive mechanisms including punishment and trust mechanisms. Additionally, publicity and training mechanisms for security researchers should be introduced to reduce their revenue from illegal participation, which promotes the healthy development of security crowd-testing. These findings contribute to improving SRCs' service quality, guiding security researchers' legal participation, enhancing the government's regulatory effectiveness, and ultimately establishing a multi-party collaborative vulnerability disclosure system.

Medical Information Protection in Internet Hospital Apps in China: Scale Development and Content Analysis

BACKGROUND

Hospital apps are increasingly being adopted in many countries, especially since the start of the COVID-19 pandemic. Web-based hospitals can provide valuable medical services and enhanced accessibility. However, increasing concerns about personal information (PI) and strict legal compliance requirements necessitate privacy assessments for these platforms. Guided by the theory of contextual integrity, this study investigates the regulatory compliance of privacy policies for internet hospital apps in the mainland of China.

OBJECTIVE

In this paper, we aim to evaluate the regulatory compliance of privacy policies of internet hospital apps in the mainland of China and offer recommendations for improvement.

METHODS

We obtained 59 internet hospital apps on November 7, 2023, and reviewed 52 privacy policies available between November 8 and 23, 2023. We developed a 3-level indicator scale based on the information processing activities, as stipulated in relevant regulations. The scale comprised 7 level-1 indicators, 26 level-2 indicators, and 70 level-3 indicators.

RESULTS

The mean compliance score of the 52 assessed apps was 73/100 (SD 22.4%), revealing a varied spectrum of compliance. Sensitive PI protection compliance (mean 73.9%, SD 24.2%) lagged behind general PI protection (mean 90.4%, SD 14.7%), with only 12 apps requiring separate consent for processing sensitive PI (mean 73.9%, SD 24.2%). Although most apps (n=41, 79%) committed to supervising subcontractors, only a quarter (n=13, 25%) required users' explicit consent for subcontracting activities. Concerning PI storage security (mean 71.2%, SD 29.3%) and incident management (mean 71.8%, SD 36.6%), half of the assessed apps (n=27, 52%) committed to bear corresponding legal responsibility, whereas fewer than half (n=24, 46%) specified the security level obtained. Most privacy policies stated the PI retention period (n=40, 77%) and instances of PI deletion or anonymization (n=41, 79%), but fewer (n=20, 38.5%) committed to prompt third-party PI deletion. Most apps delineated various individual rights, but only a fraction addressed the rights to obtain copies (n=22, 42%) or to refuse advertisement based on automated decision-making (n=13, 25%). Significant deficiencies remained in regular compliance audits (mean 11.5%, SD 37.8%), impact assessments (mean 13.5%, SD 15.2%), and PI officer disclosure (mean 48.1%, SD 49.3%).

CONCLUSIONS

Our analysis revealed both strengths and significant shortcomings in the compliance of internet hospital apps' privacy policies with relevant regulations. As China continues to implement internet hospital apps, it should ensure the informed consent of users for PI processing activities, enhance compliance levels of relevant privacy policies, and fortify PI protection enforcement across the information processing stages.

Persuasive Systems Design Trends in Coronary Heart Disease Management: Scoping Review of Randomized Controlled Trials

BACKGROUND

Behavior change support systems (BCSSs) have the potential to help people maintain healthy lifestyles and aid in the self-management of coronary heart disease (CHD). The Persuasive Systems Design (PSD) model is a framework for designing and evaluating systems designed to support lifestyle modifications and health behavior change using information and communication technology. However, evidence for the underlying design principles behind BCSSs for CHD has not been extensively reported in the literature.

OBJECTIVE

This scoping review aims to identify existing health BCSSs for CHD, report the characteristics of these systems, and describe the persuasion context and persuasive design principles of these systems based on the PSD framework.

METHODS

Using the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines, 3 digital databases (Scopus, Web of Science, and MEDLINE) were searched between 2010 to 2022. The major inclusion criteria for studies were in accordance with the PICO (Population, Intervention, Comparison, and Outcome) approach.

RESULTS

Searches conducted in the databases identified 1195 papers, among which 30 were identified as eligible for the review. The most interesting characteristics of the BCSSs were the predominant use of primary task support principles, followed by dialogue support and credibility support and the sparing use of social support principles. Theories of behavior change such as the Social Cognitive Theory and Self-Efficacy Theory were used often to underpin these systems. However, significant trends in the use of persuasive system features on par with behavior change theories could not be established from the reviewed studies. This points to the fact that there is still no theoretical consensus on how best to design interventions to promote behavior change in patients with CHD.

CONCLUSIONS

Our results highlight key software features for designing BCSSs for the prevention and management of CHD. We encourage designers of behavior change interventions to evaluate the techniques that contributed to the success of the intervention. Future research should focus on evaluating the effectiveness of the interventions, persuasive design principles, and behavior change theories using research methodologies such as meta-analysis.

Psychological wellbeing with music therapy: the moderating role of health awareness, and strategic health management in post Covid-19 era

BACKGROUND

Psychological problems are common among the people of every community. These psychological issues are leading people to mental health issues. Human well-being is required to be improved appropriately for the better health of the public. The objective of this research is to determine the influence of music therapy on the sustainable psychological well-being of the Chinese community. Furthermore, this research determines that moderating role of health awareness and strategic health management between music therapy and sustainable psychological well-being.

METHOD

The research used a sample of 384 collected with a random sampling method. For data collection, a cross-sectional method was adopted to collect data on a Likert scale questionnaire. The Health Awareness Scale, Music Therapy Scale, Sustainable Health Management Scale and Sustainable Psychological Wellbeing Scale was used in this research.

RESULTS

The findings of the research highlighted that there is a significant and positive influence of music therapy on the sustainable psychological well-being of the Chinese community. This research also concluded that there is a significant and positive moderating role of health awareness and strategic health management between music therapy and sustainable psychological well-being. The findings of this research are new and novel in the literature on psychological well-being.

CONCLUSION

This research has some theoretical and practical implications to advance the literature and practice for sustainable psychological well-being respectively. In clinical practice, music therapy can be effectively used to improve the psychological well-being of individuals with sustainability. The information related to health awareness and practice for strategic health management is also necessary for the clinical patients to improve their psychological well-being.

Validating the Delone and Mclean's model in a developing country's infectious disease pandemic context

BACKGROUND

This study aimed at validating the updated DeLone and McLean's information systems success model (D&MISS) in a developing country's infectious disease pandemic preparedness and response context. The findings from this study are relevant to inform policies and actions for enhancing developing countries' the Health Information System's (HIS) performance, and specifically to improve their future pandemic readiness and response. The study sought to respond to a key research question: to what extent can the D&MISS model provide evidence to enhance the HIS's infectious disease pandemic readiness and response in developing countries?

METHOD

A cross-sectional study design that involved a multi-stage probability sampling approach to select eligible healthcare workers was applied. Conducted in Nigeria and Liberia, 576 primary healthcare workers, out of the proposed 600, participated, representing a response rate of 96%. The D&MISS model served as the theoretical underpinning for this study, and nine hypothesized relationships were stated before the study based on the interconnectedness of the model's six dimensions. Structural Equation Modelling (SEM) data analysis using the Partial Least Square approach was used to determine if hypothesized relationships were supported.

RESULTS

70% of the observed variance in the Net Benefit construct was explained by the predictive influence of the Use and User Satisfaction constructs. The Use construct had a slightly more substantial predictive influence than the User Satisfaction construct. Eight of the nine hypothesized relationships were supported, except for the relationship between Information Quality and Use. The relationships between System Quality and Use and User Satisfaction and Net Benefit had the highest beta coefficient, statistically significant at p < 0.05.

CONCLUSION AND RELEVANCE

The D&MISS model demonstrated its relevance in providing evidence on the gaps of the HISs regarding future pandemic preparedness and response. However, from a future research opportunity, its enhancement and modifications with context-specific dimensions peculiar to developing countries will improve its ability to provide more context-specific evidence to improve pandemic preparedness and response for developing countries.

Factors Influencing Users' Perceptions of Digital Platform Indispensability: A Comparative Study of Korea and Finland

The pervasive integration of digital platforms into daily life has amplified their perceived indispensability. This study investigates the factors influencing this perception across countries with contrasting platform landscapes, focusing on platform quality and usage patterns. We conducted surveys in Finland and Korea, countries representing distinct platform ecosystems. The results revealed higher perceived indispensability in Korea than in Finland, with usefulness and habitual platform use emerging as significant predictors of indispensability in both countries. However, the specific aspects of platform quality influencing this perception diverged. In Finland, the platform's comprehensiveness and security risk significantly impacted indispensability, while social interaction features played a negligible role. Conversely, in Korea, social interaction features significantly influenced indispensability, while platform comprehensiveness and security risk were non-significant. These findings underscore the multifaceted nature of digital platform indispensability, shaped by the interaction of platform quality and usage patterns. The contextual variations highlighted by our cross-country comparison suggest that a one-size-fits-all approach to platform regulation or user education may be ineffective. Future research should explore these cultural and platform-specific nuances to devise tailored policies.

Towards an understanding of multi-generational higher education cohorts in gamified entrepreneurship education

The increasing inclusion of gamified courses in entrepreneurship programmes in higher education have left gaps in understanding the critical essentials of the multi-generational student cohort undertaking these programmes. In this paper, we interrogate the educational experiences of multi-generational higher education students in a core gamified entrepreneurship course in an undergraduate business school programme. The research analyzed 392 course feedback responses from three generations (X, Y and Z) of a multi-generational cohort. The study developed and validated a behaviour-results model for gamified entrepreneurship courses leading to student entrepreneurial intention and entrepreneurial orientation, and disaggregated student engagement into it's multiple dimensions of cognitive, behavioural and emotional. The model also validated six dimensions of individual entrepreneurship orientation. Using the model, the study found differences in the component variables based on student Generations X, Y, and Z. Also, student cognitive and behavioural engagement led to entrepreneurial intention which also influenced student entrepreneurial orientation. There were marked differences in student grit, cognitive engagement, and emotional engagement between Generations X and Z. Furthermore, generational differences existed amongst Generation Z and Y, and also for Generation Z and X in student entrepreneurial intention. The study also confirmed the difference in entrepreneurial orientation between Generations X and Z. Additionally, the study found that there is a need to contextualize student engagement facilitators such as results demonstrability of the business simulation platform, student grit and user characteristics as they have selective effects on student cognition, behavioural and emotional engagements in a multi-generational student cohort of Generation X, Y and Z.

API integration and organisational agility outcomes in digital music platforms: A qualitative case study

Organisations deploy digital platforms to maximise value and transform their businesses. The success of most platforms is attributed to Application Programming Interfaces (APIs), the protocols enabling different software to communicate with each other. However, previous research on APIs has predominantly focused on the technical dimensions, such as design, and unintentionally neglected other social areas, such as organisational outcomes. This study seeks to advance organisational API research by adopting an agility perspective to explore the agility outcomes after API integration. Through rich qualitative data from a music digital firm, the findings revealed four primary agility outcomes: customer agility in the form of swift customer feedback, operational agility in the form of improved business process and delay reduction, partner agility in the form of embracing flexibility in processes and structures and expanding their ecosystem and decision agility in the form of fast decision making. A model showing the interplay and interdependencies of the agility outcomes was developed and provided depth and clarity to the findings. This study extends the literature by establishing how API integration influences organisational agility under conditions such as possessing capabilities and managing tensions during the integration process.

Digital capability and green innovation: The perspective of green supply chain collaboration and top management's environmental awareness

The emergence of the digital economy has accelerated digital transformation, and digitalization has shown new potential and solutions to increasingly severe environmental challenges. Based on the resource-based view, dynamic capability view, synergy effect and upper echelons theory, the connotation and measurement dimensions of digital capability and green supply chain collaboration are defined and improved. Then, a theoretical model of "digital capability-green supply chain collaboration-green innovation performance" is constructed. The influence mechanism and transmission process of digital capability on green innovation performance from the perspective of green supply chain collaboration is discussed. Meanwhile, the boundary condition of the influence of digital capability on green innovation performance in the view of top management's environmental awareness is explored. Finally, an empirical test is conducted based on the Chinese manufacturing corporates. The results indicate that green innovation performance is significantly and favorably impacted by digital capability, green supply chain collaboration plays a partial mediating role between digital capability and green innovation performance, and top management's environmental awareness can positively moderate the effect of digital capability on green innovation performance. This study offers valuable theoretical and practical enlightenments for manufacturing companies to foster the growth of green innovation through digital capability more effectively.