Online reviews, customer Q&As, and product sales: A PVAR approach

Online reviews and customer Q&As have emerged as two vital forms of electronic word-of-mouth (eWOM) that significantly influence consumer decisions in e-commerce. Yet, a comprehensive understanding of the individual and combined roles of these eWOM types in shaping market dynamics remains elusive. This study addresses this research gap by tracking and analyzing three months of eWOM and sales data for 120 laptops on Amazon, comprising 7,205 online reviews, 6,365 customer Q&A questions, and 7,419 answers. Leveraging the Panel Vector Autoregression (PVAR) model and STATA16.0 software, we unravel the intricate dynamics between online reviews, customer Q&As, and laptop sales. The empirical results reveal distinctive influence mechanisms of online reviews and customer Q&As on product sales, with review volume and answer valence positively affecting sales. Importantly, answer volume was found to stimulate online reviews and enhance their valence. Our study elucidates the interplay among online reviews, customer Q&As, and product sales, underscoring the need for future research on multi-type eWOM. Further, the insights gleaned offer valuable guidance for online platforms and retailers to strategize their eWOM management.

Mindfulness and technostress in the workplace: a qualitative approach

Information Technology (IT) has been vastly characterized as a double-edged sword, offering significant benefits to individuals but at the same time bringing certain negative consequences, such as technostress. Technostress can severely affect individuals in the workplace, causing fatigue, loss of motivation, inability to concentrate, dissatisfaction at work and reduced productivity among others; thus significantly affecting individual well-being work as well as increasing costs for organisations. Recently, studies have shown the beneficial role of mindfulness in reducing technostress experiences of individuals; however, the evidence that exists until today is very limited, and mostly focused on evaluating the impact of mindfulness on technostress and its negative consequences. As the current research stands, at the moment it is relatively unknown how mindfulness affects the underlying mechanisms of technostress experiences of individuals. Through semi-structured interviews with 10 knowledge workers, the current study explores how mindfulness alleviates technostress within the workplace, by investigating the experiences of more mindful employees and learning from their practices. Findings offer a deeper insight into the relationship of mindfulness and technostress, revealing a toolkit of the underlying strategies that more mindful and IT mindful individuals deploy as well as their perceptions during technostress experiences at work thus shedding light on the path between mindfulness and technostress. The study contributes both to academia and practice, offering important implications to managers and practitioners that strive to improve employee well-being within organisations.

Healthcare information management and operational cost performance: empirical evidence

Healthcare knowledge management systems can mitigate hospitals' operational inefficiency. As a healthcare information technology, the electronic health record (EHR) receives much attention from medical institutions due to its considerable impact on operational cost performance. This paper focuses on EHR systems to address operational inefficiency by which patients pay more for health care services, and many U.S. hospitals are filing for bankruptcy. From the theoretical perspective of the practice-based view, this paper introduces a path to implement EHR systems for improving cost performance. The empirical investigation is archival data of 200 hospitals collected from the U.S. healthcare agencies. Findings contribute to prior work by hypothesizing moderating and mediating roles in EHR systems implementation. This paper introduces absorptive capacity and monitoring mechanisms as enablers of implementing EHR systems. The results showed that hospital monitoring strengthens the relationship between absorptive capacity and electronic health record systems implementation, which results in better operational cost performance. Theoretically, this study supports the long-term potential benefits of EHR adoption, and its findings are consistent with optimizing efficiency through data standardization and interoperability. From a practical perspective, this study supports hospitals' investments in evolving healthcare information technology systems through the development of a knowledge-based system employing EHR, particularly when hospitals are merging or need a financial strategic plan to control expenses.

Digital Marketing and Fast-Food Intake in the UAE: The Role of Firm-Generated Content among Adult Consumers

In the contemporary digital marketing context, this study aimed to investigate the influence of firm-generated content and social media advertising on fast-food consumption patterns among the adult population. Utilizing a questionnaire distributed to customers of a restaurant in Fujairah, United Arab Emirates, convenience sampling was employed. The findings underscored a significant positive relationship between firm-generated content and social media engagement, as well as between the latter and online shopping behavior. However, it was determined that word of mouth did not significantly moderate the relationship between attitudes towards social media advertisements and fast-food consumption patterns. From a theoretical perspective, these results enrich the understanding of how digital dynamics shape consumer behavior in specific contexts. Practically speaking, they prompt a critical reflection on the ethics of marketing in promoting products potentially detrimental to health, urging both companies and policymakers to reconsider their strategies and regulations, respectively.

Message framing to promote solar panels

Green technologies, such as solar panels, foster the use of clean energy, yet often involve large-scale investments. Hence, adoption by retail consumers has been a key barrier. Here, we show that message framing can significantly increase customers' serious commitment to adopting solar panels by providing empirical evidence in the field from a large-scale randomized controlled trial with a nationwide online retailer in the Netherlands (N = 26,873 participants). We design four messages aimed at promoting the purchase behavior of solar panel installations. Our messages present outcomes for oneself or for the environment and highlight cost savings versus earnings (for oneself) or reducing emissions versus generating green electricity (for the environment). Across all messages, we observe a higher rate of customers committing to solar panels compared to the baseline. However, the framing in terms of financial savings for oneself was by far the most effective, resulting in a 40% higher level of commitment than the baseline and 30% higher than the average of the other three messages, which were not significantly different in effect from each other. Our results show that message framing is cost-efficient and scalable among retail consumers to promote large-scale investments in green technologies and thus clean energy.

Gig worker's perceived algorithmic management, stress appraisal, and destructive deviant behavior

With the advance of data technologies, gig platforms have applied data and algorithms to their management and put more stringent requirements on gig workers through algorithmic management. Gig workers might perform destructive deviant behavior when coping with algorithmic management. It is meaningful to examine how the algorithmic management applied to gig platforms could lead to gig workers' destructive deviant behavior. Based on the challenge-hindrance framework, we developed a research model and validated it with survey data collected from 423 food delivery riders. We employed multi-level linear regression analysis in data analysis and found that perceived algorithmic management was appraised as both a hindrance and a challenge. As a hindrance, it elicits working/family deviant behavior; as a challenge, it helps reduce working/family deviant behavior. Regulatory focus (a prevention focus vs. a promotion focus) moderates the effect of perceived algorithmic management on stress appraisals (hindrance appraisals vs. challenge appraisals). This study explains algorithmic management's impact on gig workers' destructive deviant behavior through the appraisal of algorithmic management as both a challenge and a hindrance. It also provides practical advice to gig platforms, gig workers and policymakers on how to balance the challenge and hindrance roles of algorithmic management in gig work.

More powerful parameter tests? No, rather biased parameter estimates. Some reflections on path analysis with weighted composites

Recently, a study compared the effect size and statistical power of covariance-based structural equation modeling (CB-SEM) and path analysis using various types of composite scores (Deng, L., & Yuan, K.-H., Behavior Research Methods, 55, 1460-1479, 2023). This comparison uses nine empirical datasets to estimate eleven models. Based on the meta-comparison, that study concludes that path analysis via weighted composites yields "path coefficients with less relative errors, as reflected by greater effect size and statistical power" (ibidem, p. 1475). In our paper, we object to this central conclusion. We demonstrate that the justification these authors provided for comparing CB-SEM and path analysis via weighted composites is not well grounded. Similarly, we explain that their employed study design, i.e., a meta-comparison, is very limited in its ability to compare the effect size and power delivered across these methods. Finally, we replicated Deng and Yuan's (ibidem) meta-comparison and show that CB-SEM using the normal-distribution-based maximum likelihood estimator does not necessarily deliver smaller effect sizes than path analysis via composites if a different scaling method is employed for CB-SEM.

An evaluation of 3D printable elastics for post stroke dynamic hand bracing: a pilot study

The rise of 3D printing allows unprecedented customization of rehabilitation devices, and with an ever-expanding library of 3D printable (3DP) materials, the spectrum of attenable rehabilitation devices is likewise expanding. The current pilot study explores feasibility of using 3DP elastic materials to create dynamic hand orthoses for stroke survivors. A dynamic orthosis featuring a replaceable finger component was fabricated using 3DP elastic materials. Duplicates of the finger component were printed using different materials ranging from low stiffness (low elastic modulus) to relatively high stiffness (high elastic modulus). Five stroke survivors with predominantly moderate hand impairment were recruited to evaluate usability and impact of orthoses on upper extremity function and biomechanics. No significant differences in usability were found between 3D-printed orthoses and a commercial orthosis. Increases in stiffness of the 3DP material reduced pincer force (p = .0041) and the BBT score (p = .043). In comparison, the commercial orthosis did not reduce pincer force but may reduce BBT score to a degree that is clinically significant (p = .0002). While preliminary, these findings suggest that a dynamic orthosis is a feasible clinical application of 3DP elastic materials, and future study is warranted.

Alcohol protective behavioral strategies for young adults: a content analysis across drinking contexts and gender

Background: Protective behavioral strategies (PBS) are specific harm reduction behaviors which mitigate alcohol-related consequences among young adults. Prior work indicates PBS utilization varies according to drinking context and gender, suggesting a need for further research assessing whether young adults employ unidentified PBS according to such factors.Objectives: This study examined alcohol PBS young adults suggest using across drinking contexts and gender to inform alcohol-related harm reduction interventions.Methods: An online survey with 514 young adult heavy drinkers (n = 269 female, Mage = 22.36 years) assessed PBS use generally, and across 12 physical and social contexts. We utilized qualitative content analysis methods to code and derive themes from open-ended responses from a prompt asking participants to state additional PBS used per context. The frequency of each theme's appearance was calculated across the overall sample, by gender, and within each context.Results: PBS endorsement varied across context and gender within each theme. Young adults who reported PBS use most frequently endorsed utilizing strategies related to drink content (18.30%), social support (12.36%), and engaging in other activities (10.34%). Participants infrequently endorsed strategies related to awareness of time (0.23%), standards of behavior (0.78%) and avoiding environments (0.87%).Conclusions: Young adults endorse utilizing additional PBS in varying frequency according to drinking context and gender. Given PBS are often a key component of alcohol harm reduction interventions, monitoring trends in young adult PBS use is crucial to ensure continued relevance and efficacy of such interventions to minimize harms associated with young adult heavy alcohol use.

Clinical stakeholders' perspective for the integration of an immersive wheelchair simulator as a clinical tool for powered wheelchair training

This study aimed to investigate clinical stakeholders' acceptance of an immersive wheelchair simulator as a potential powered wheelchair skills training tool. Focus groups, conducted in four rehabilitation centers, were used to obtain a rich understanding of participants' experiences and beliefs. Then, a cross-sectional survey of the simulator acceptability for clinical practice was created. Twenty-three rehabilitation therapists and clinical program directors participated in the focus groups and thirty-three responded to the survey. Participants generally expressed that use of the simulator would be complementary to training in an actual powered wheelchair, and that it could be useful for challenging situations in rehabilitation centers (e.g. anxious clients; when there is uncertainty around their potential to drive a powered wheelchair; tasks that cannot be assessed in a real-life environment). They also provided suggestions to improve the simulator (e.g. more feedback during tasks; possibility of adjusting control settings such as speed and sensitivity; possibility of adding varied control interfaces). Feedback received from key stakeholders clearly indicated that the wheelchair simulator would be complementary to training provided in a real context of use. However, some important limitations must be addressed to improve the simulator and promote its adoption by clinical programs, therapists and clients.

How flexible leadership ability affects manufacturing enterprises' digital transformation willingness: The role of innovation commitment and environmental dynamics

Existing studies have recognized the significance of leadership ability on enterprises' digital transformation. However, few of them pay attention to the mechanism of flexible leadership ability (FLA) on digital transformation willingness (DTW). This study aims to explore the influence mechanism of FLA on DTW based on the ability-behavior-purpose logical framework. Survey data is collected from 509 large and medium-sized manufacturing enterprises in China, and multiple regression and PROCESS Macro methods are used for hypothesis testing. This study mainly discusses the impact of FLA on DTW, as well as the mediating role of innovation commitment (IC) and the moderating role of environmental dynamics (ED). Results show that FLA promotes DTW directly (β = 0.574, p<0.001) and indirectly, that is, through IC (the main effect decreased from (β = 0.574, p<0.001) to (β = 0.40, p<0.001). Additionally, the moderating role of ED affects the direct path of FLA on DTW (β = 0.167, p<0.001) as well as the two indirect paths (β = 0.196, p<0.001; β = 0.104, p<0.01). The findings contribute to the advancement of flexible leadership theory, and provide practical advice for enterprises on how to implement digital transformation.

Proximity and information sharing in hospitals and nursing homes: Development of an instrument assessing health personnel's perceptions of proximity and information sharing with kitchen personnel

Healthcare services are becoming increasingly specialized, potentially hampering interprofessional care. To provide holistic treatment and care, different professions and departments need to share information. Healthcare services also include support services, such as institutional food services, and health personnel and kitchen personnel need to share information about food and patients to serve food adapted to the patients' nutritional needs. Healthcare institutions mainly use formal information-sharing systems, but informal communication is considered more suitable for exchanging complex information. Physical and social proximity may facilitate informal information sharing across different professions and units. We aimed to develop and test an instrument for assessing health personnel's perceptions of physical and social proximity to, and information-sharing practices with, kitchen personnel and to describe associations between physical and social proximity and information-sharing practices. A survey questionnaire measuring proximity and information-sharing practices was developed and distributed to 368 health personnel. Scale analyses were performed to test the psychometric properties of the measures included in the questionnaire. MANOVA and regression analyses were run to assess associations between proximity and information-sharing practices. The results indicated reasonable validity of the measures, and both physical and social proximity were associated with increased informal information sharing.

Chinese national music platformisation: A systematic review

Chinese national music is unique to China, and in the past, the single means of distribution and the audience led to the fact that knowledge of Chinese culture and history was limited to national musicians and a subset of fans. With the rapid development of the internet, the dissemination of Chinese national music is no longer limited to live performances, but is beginning to shift to media platforms. Social media has had a tremendous impact on Chinese music culture; people can search for any information they need about Chinese music. With the advancement of social media, groups of internet celebrities such as wanghong () have formed on the internet. This study systematically reviews platformisation and the social media in Chinese national music. Past literature and current notions on Chinese national music development under platformisation are examined given the essentiality of smart devices in developing music through digital technology. The study posed three research questions: 1.What is the current state of development of Chinese national music? What opportunities does platformisation bring to Chinese national music? 2.What areas are the focus for research on platformisation and social media? What is the impact on the music field? 3.What is the history of the development of the Chinese wanghong phenomenon? What impact has it made on Chinese national music? A general systematic review of scholarly articles was conducted for this study using multiple publications from reputable databases: Scopus, Web of Science and CNKI (China National Knowledge Infrastructure). The articles were categorised based on scholarly works involving platforms, platformisation, Chinese national music, social media, and wanghong to determine past study profiles in this domain and relevant knowledge gaps.

Learning from past in the aircraft maintenance industry: An empirical evaluation in the safety management framework

The growth of commercial air transport arguably translates into more aging passenger aircraft queuing up for major maintenance, modifications, and/or freighter conversion with the aircraft maintenance industry. In the competitive business environment, this increased maintenance demand possesses the potential to stress the industry and make safety vulnerable. In the aircraft maintenance industry, several aircraft accidents and incidents have resulted from organizational failure to learn from the past. To address this chronic problem, this study aims to (a) establish a learning process model for the aircraft maintenance industry, (b) identify the factors that influence learning, and (c) determine the effect of identified factors on learning from the past. A review of scholarly articles and regulatory publications enabled the development of learning from the past process model and a data collection tool, followed by structural equation modeling to quantify the relationship among influencing factors. The study was conducted in the Indian aircraft maintenance environment and is based on the perspective of the front-line maintenance staff. The study found that safety communication is the decisive stage for learning from the past. Contextualization of the safety information and evaluating the lessons learned during safety communication strongly impact learning from the past, for which existing regulatory provisions are vulnerable. The findings of this study are meant to assist State regulators and management of the aircraft maintenance industry; nevertheless, safety managers and practitioners in other ultra-safe, high-risk sectors may also apply the results in compliance with the respective regulatory guidelines.

Prevalence of hikikomori and associations with suicidal ideation, suicide stigma, and help-seeking among 2,022 young adults in Hong Kong

BACKGROUND

Young adults are at elevated risks of hikikomori (severe social withdrawal) under the COVID-19 pandemic, which could lead to psychological distress and suicidal ideation.

AIMS

The present study aimed to examine the associations among hikikomori, suicide stigma, suicidal ideation, and help-seeking behaviors among young adults in Hong Kong.

METHOD

This study recruited a large sample of 2,022 young adults in Hong Kong via an online survey at the end of 2021. The participants completed the Hikikomori Questionnaire and validated measures on psychological distress, suicide stigma, and suicidal ideation severity and report their help-seeking behaviors. Multivariate analysis of variance was conducted to compare the profiles of the hikikomori groups. Path analysis evaluated the effects of hikikomori and suicide stigma on occurrence and severity of suicidal ideation and their associations with help-seeking behaviors.

RESULTS

Hikikomori showed significant and positive indirect effects on prevalence and severity of suicidal ideation via psychological distress. Glorification positively predicted hikikomori and suicidal ideation severity among suicidal persons. Hikikomori was associated with reduced help-seeking. Isolation and suicidal ideation were associated with greater barriers to seek help among the non-help-seekers. Perceived helpfulness of sought help was negatively associated with hikikomori and suicidal ideation among the help-seekers.

CONCLUSIONS

The present findings demonstrated greater prevalence and severity of suicidal ideation and less help-seeking in young adults with hikikomori. Suicide stigma showed differential associations with hikikomori, suicidal ideation, and help-seeking behaviors.

Shaping the development and use of Artificial Intelligence: how human factors and ergonomics expertise can become more pertinent

New developments in Artificial Intelligence (AI) are extensively discussed in public media and scholarly publications. While in many academic disciplines debates on the challenges and opportunities of Artificial Intelligence (AI) and how to best address them have been launched, the human factors and ergonomics (HFE) community has been strangely quiet. I discuss three main areas in which HFE could and should significantly contribute to the socially and economically viable development and use of AI: decisions on automation versus augmentation of human work; alignment of control and accountability for AI outcomes; counteracting power imbalances among AI stakeholders. I then outline actions that the HFE community could undertake to improve their involvement in AI development and use, foremost translating ethical into design principles, strengthening the macro-turn in HFE, broadening the HFE design mindset, and taking advantage of new interdisciplinary research opportunities.Practitioner summary: HFE expertise could and should significantly contribute to the socially and economically viable development and use of AI. Translating ethical into design principles, opening up to broader multi-stakeholder perspectives, and engaging in interdisciplinary collaboration within a design science framework are discussed as measures to achieve that.

Premature conclusions about the signal-to-noise ratio in structural equation modeling research: A commentary on Yuan and Fang (2023)

In a recent article published in this journal, Yuan and Fang (British Journal of Mathematical and Statistical Psychology, 2023) suggest comparing structural equation modeling (SEM), also known as covariance-based SEM (CB-SEM), estimated by normal-distribution-based maximum likelihood (NML), to regression analysis with (weighted) composites estimated by least squares (LS) in terms of their signal-to-noise ratio (SNR). They summarize their findings in the statement that "[c]ontrary to the common belief that CB-SEM is the preferred method for the analysis of observational data, this article shows that regression analysis via weighted composites yields parameter estimates with much smaller standard errors, and thus corresponds to greater values of the [SNR]." In our commentary, we show that Yuan and Fang have made several incorrect assumptions and claims. Consequently, we recommend that empirical researchers not base their methodological choice regarding CB-SEM and regression analysis with composites on the findings of Yuan and Fang as these findings are premature and require further research.

Usability of a virtual reality manual wheelchair simulator

PURPOSE

Individuals with impaired mobility often require assistance for getting around. The skilled use of a manual wheelchair (MW) is required in order to gain independence while preventing injuries. Training in a virtual reality (VR) setting allows for safe practice of MW skills in a wide range of environments. We developed a low-cost MW simulator which includes visual and haptic feedback. Our objectives were to assess the usability and fidelity of the VR simulator, by clinicians and expert MW users, and to determine whether the addition of haptic feedback would positively improve the user's experience.

MATERIALS AND METHODS

This mixed method study investigated the sense of presence, overall experience and ease of use of the experience in six MW users, as well as five clinicians (wheeled mobility experts) who practiced in the simulator.

RESULTS

Participants reported a positive perception of usefulness, sense of presence, and immersion during the MiWe simulator experience. The addition of haptic feedback to the simulator significantly enhanced fidelity of the overall experience, compared to the no-feedback condition.

CONCLUSION

Our low-cost simulator was well perceived by clinicians and MW users and was considered as a potentially useful tool to complement MW skill training.IMPLICATIONS FOR REHABILITATIONWe developed a low-cost, virtual reality simulator with visual and haptic feedback, for the practice of manual wheelchair skills.Expert clinicians and wheelchair users reported a positive experience after practicing in the wheelchair simulator, in terms of presence, realism and usability.Participants highlighted the potential usefulness of our low-cost simulator in the training of manual wheelchair skills.

Recognizing the preventive quality in the adoption of innovations: The case of third-party ownership photovoltaic systems in Finland

This study explores the role of the preventive quality of innovations on their adoption intention. The preventive quality of innovations is a distinctive feature of innovations that is directed towards avoiding a future, possibly harmful event. Empirically grounded in third-party ownership of photovoltaic systems in Finland, this study examines data collected from an online survey measuring respondent intention to adopt. A series of hypotheses theoretically grounded in the Diffusion of Innovations theory and the preventive quality of innovations were tested through Partial Least Squares Structural Equation Modeling with SmartPLS4. Findings for the overall sample reveal that the preventive quality and the relative advantage of innovations influenced adoption intention positively. Findings highlight the preventive quality of innovations as a construct that acts as the greatest contributor to the dependent variable.

The Price of silence, isolation, and cynicism: The impact on occupational frustration

In today's competitive business landscape, organisational dynamics like silence, isolation, and cynicism deeply influence employee well-being. Understanding these is vital in the private sector for a productive and harmonious workplace. This study examined the impact of organisational silence (OS), organisational isolation (OI), and organisational cynicism (OC) on occupational frustration (OF) among private sector employees in Oman. A survey was conducted, and the collected data were analysed using structural equation modelling (SEM) with SmartPLS software. The final sample size included 390 participants. The results indicated that OI and OC were significant predictors of, while OS did not show a significant impact. The findings suggest that decreasing OI and OC in the workplace can contribute to a decrease in OF among employees. The study provides recommendations for organizations to improve their policies and work practices to alleviate occupational frustration among their employees. This research highlights the importance of addressing organisational factors to enhance employee well-being and job satisfaction in the workplace.

Sustainable Production Insight Through LCA and LCC Analysis of Injection Overmolded Structural Electronics Manufactured through Roll-to-Roll Processes

Printed electronics (PE) have provided new material and application opportunities for devices and systems as well as new manufacturing routes that all need to be considered for commercialization. This paper introduces a case study with universally relevant manufacturing processes and applications in the PE area, focusing on the Life Cycle Assessment (LCA) and Life Cycle Costing (LCC) of the Personal Activity Monitor (PAM) device. In the study, the PAM device's most important costs and environmental impacts during the prototype pilot production and device use phases are identified and assessed. Additionally, the potential environmental impacts of post-consumption scenarios are considered. The LCA results indicate that the roll-to-roll (R2R) assembly of electronics and the R2R injection over-molding are generally the most prominent production process steps affecting the results. From the LCC perspective, the capitial expenditure (CAPEX) contributor is the R2R assembly pilot line, due to its high investment cost and long operating time compare to other production assets. The traditional electronic components are the major operating expenditures (OPEX), especially the microcontroller units (MCUs) and accelerometers, in contrast to the low impact from the printed electronics. There are several advantages to applying LCA and LCC since they provide explanations of the relationships between cost, environmental, design, and manufacturing characteristics.

Are we levelling the playing field? A qualitative case study of the awareness, uptake and relevance of the IOC consensus statements in two countries

OBJECTIVES

Research evidence is commonly compiled into expert-informed consensus guidelines intended to consolidate and distribute sports medicine knowledge. Between 2003 and 2018, 27 International Olympic Committee (IOC) consensus statements were produced. This study explored the policy and practice impact of the IOC Statements on athlete health and medical team management in two economically and contextually diverse countries.

METHODS

A qualitative case study design was adopted. Fourteen face-to-face interviews were conducted with purposively selected interviewees, seven participants from Australia (higher economic equality) and seven from South Africa (lower economic equality), representing their national medical commissions (doctors and physiotherapists of Olympic, Paralympic and Youth teams). A framework method was used to analyse interview transcripts and identify key themes.

RESULTS

Differences across resource settings were found, particularly in the perceived usefulness of the IOC Statements and their accessibility. Both settings were unsure about the purpose of the IOC Statements and their intended audience. However, both valued the existence of evidence-informed guidelines. In the Australian setting, there was less reliance on the resources developed by the IOC, preferring to use locally contextualised documents that are readily available.

CONCLUSION

The IOC Statements are valuable evidence-informed resources that support translation of knowledge into clinical sports medicine practice. However, to be fully effective, they must be perceived as useful and relevant and should reach their target audiences with ready access. This study showed different contexts require different resources, levels of support and dissemination approaches. Future development and dissemination of IOC Statements should consider the perspectives and the diversity of contexts they are intended for.

Impact of common institutional ownership on enterprise digital Transformation-Collaborative governance or collusion fraud?

As a crucial external capital force of enterprises, common institutional ownership plays an essential role in enterprise innovation and development. However, few studies have focused on the impact and underlying impact mechanisms of common institutional ownership on the digital transformation of enterprises. Hence, this study uses Python to analyse the annual reports of listed companies from 2007 to 2021 and constructs measures of enterprise digital transformation. Then, based on panel fixed effects Poisson regression, this study examines the influence of common institutional ownership on enterprise digital transformation by using theoretical logic and empirical evidence. The results reveal that common institutional ownership significantly inhibits enterprise digital transformation; this result remains valid after a series of endogeneity and robustness tests, thereby indicating that common institutional ownership exerts a collusion fraud effect. The mechanism analysis shows that common institutional ownership hampers enterprise digital transformation mainly by increasing monopoly power within the market, aggravating information asymmetry between enterprise insiders and outsiders, and intensifying executive self-dealing. Further analysis reveals that the inhibitory effect of common institutional ownership on digital transformation is more significantly negative in the case of non-state-owned enterprises versus state-owned enterprises. This study expands the research on the factors influencing enterprise digital transformation. The results provide a helpful reference for further improving institutional investors' ownership structures and promoting high-quality enterprise development.

Parental and Child Factors Associated With Internet Addiction in Children

BACKGROUND

Internet addiction has negative effects on psychological development, interpersonal relationships, and social adaptation in 10-year-old elementary school students.

OBJECTIVE

This study aimed to identify parental and child characteristics related to Internet addiction in lower-grade elementary school children.

METHODS

This study used a secondary data analysis. Data from the tenth Panel Study on Korean Children were used. In total, 1224 ten-year-old elementary school students were included in the analysis. The questionnaire included general, parental, and child characteristics.

RESULTS

Of all child participants, 18.5% were in the high-risk group for Internet addiction. Lower paternal and maternal spousal satisfaction, maternal education level of high school graduate or lower, and greater permissive parenting by the mother were associated with higher odds of Internet addiction among their children. Moreover, boys and children who spent more than an hour per day without adults showed higher odds of Internet addiction.

CONCLUSIONS

The results of this study indicate that the implementation of an intervention that improves parenting and family relationships and positively changes the environment in which children are brought up is necessary.

Effectiveness of a 3D simulation tool to teach the designing of metal removable partial dentures: A mixed-method study

INTRODUCTION

Acquiring insights into the framework design of metal-based removable partial dentures (mRPD) is a current challenge in dental education. The aim of the present study was to explore the effectiveness of a novel 3D simulation tool to teach designing mRPD by investigating the learning gain and the acceptance and motivation towards the tool of dental students.

MATERIALS AND METHODS

A 3D tool based on 74 clinical scenarios was developed for teaching the design of mRPD. Fifty-three third year dental students were randomly divided into two groups, with the experimental group (n = 26) having access to the tool during 1 week while the control group (n = 27) had no access. Quantitative analysis was based on a pre- and post-test in order to evaluate the learning gain, technology acceptance and motivation towards using the tool. Moreover, qualitative data was collected by means of an interview and focus group to get additional insights into the quantitative results.

RESULTS

Although the results showed a higher learning gain for students in the experimental condition, the study did not find a significant difference between both conditions based on quantitative results. However, during the focus groups, all students of the experimental group revealed that the 3D tool improved their understanding of mRPD biomechanics. Moreover, survey results revealed that students positively evaluated the perceived usefulness and ease of use of the tool and indicated to have the intention to use the tool in the future. Suggestions were made for a redesign (e.g. creating scenarios themselves) and further implementation of the tool (e.g. analysing the scenarios in pairs or small groups).

CONCLUSION

First results of the evaluation of the new 3D tool for teaching the design framework of mRPD are promising. Further research based on the design-based research methodology is needed to investigate the effects of the redesign on motivation and learning gain.

Investigating the Role of Goals and Motivation on Waste Separation Behavior Through the Lens of the Theory of Reasoned Goal Pursuit

Nowadays the prediction and change of waste-related behaviors represent a key topic for scholars and policy makers. The theoretical mainstays applied to waste separation behavior, such as the Theory of Planned Behavior (TPB), the Norm Activation Model and the Value Belief Norm, do not include the construct of goal in their formulation. Other goal-focused theories, such as the Goal Systems Theory (GST), lack applications on separation behavior. Recently, Ajzen and Kruglanski (2019) have proposed the Theory of Reasoned Goal Pursuit (TRGP) which combines TPB and GST. Considering TRGP has the potential to offer further insights on human behavior and, to our knowledge, there is no application of TRGP to recycling behavior yet, this paper analyses waste separation behavior of households in Maastricht and Zwolle (The Netherlands) under the lens of TRGP. Although waste separation behavior represents a kind of habitual behavior, this paper highlights the influence of goals and motivation on intention to separate waste. Furthermore, it offers some indications to promote behavior change and some suggestions for future research directions.

A moderated mediation investigation of the influence of enterprise social media visibility on work stress

Drawing upon the communication visibility theory, this study delves into the intricate dynamics of message transference and network translucence within the context of enterprise social media (ESM), unraveling their profound impact on information overload and social overload experienced by employees. Consequently, we examine the consequential relationship between these overwhelming cognitive burdens and the levels of work stress experienced by individuals in the organizational setting. Moreover, our study explores the moderating role of resilience, shedding light on how this intrinsic psychological trait can shape the connection among information overload, social overload, and work stress. Based on empirical analysis of the data collected from 351 ESM users, the findings demonstrate a significant positive association between message transference, network translucence, and the occurrence of information overload and social overload among employees. Furthermore, the results reveal a strong positive association among information overload and social overload over work stress. However, the salient contribution of this study lies in uncovering the pivotal moderating effect of resilience, revealing that high levels of resilience act as a buffer against the adverse impacts of information overload and social overload, leading to lower levels of work stress among individuals. By advancing our comprehension of communication visibility theory, this study adds to the theoretical underpinnings of communication visibility, resilience, and their interplay in the context of ESM while providing practical insights for employees and organizations to navigate the challenges posed by information overload, social overload, and work stress. Through its meticulous examination of these multifaceted phenomena, this study opens avenues for further research and invites scholars to probe deeper into the complex dynamics of communication visibility and resilience in the evolving landscape of contemporary organizations.

Results of a Multi-Disciplinary and Multi-Institutional Pilot Creating High-Yield Physics Educational Content (Hi-Phy)

Purpose

The quality of medical physics education is heterogenous across training programs, despite its importance in radiation oncology (RO) residency training. We present the results of a pilot series of free high-yield physics educational videos covering 4 topics chosen from the American Society for Radiation Oncology core curriculum.

Methods and materials

Scripting and storyboarding of videos were iterative processes performed by 2 ROs and 6 medical physicists, with animations created by a university broadcasting specialist. Current RO residents and those who had graduated after 2018 were recruited through social media and e-mail with an aim of 60 participants. Two validated surveys were adapted for use and were completed after each video as well as a final overall assessment. Content was released sequentially after completion of the survey instruments for each prior video. All videos were created and released within 1 year of project initiation with a duration of 9 to 11 minutes.

Results

There were 169 enrollees for the pilot from across the world, 211% of the targeted cohort size. Of these, 154 met eligibility criteria and received the first video. One hundred eight enrollees initiated the series and 85 completed the pilot, resulting in a 78% completion rate. Participants reported improved understanding and confidence applying the knowledge learned in the videos (median score 4 out of 5). All participants reported that the use of graphic animation improved understanding across all videos. Ninety-three percent agreed with a need for additional resources geared specifically toward RO residents and 100% would recommend these videos to other residents. Use metrics revealed the average watch time was 7 minutes (range, 6:17-7:15).

Conclusions

The high-yield educational physics video pilot series was successful in developing videos that were effective in teaching RO physics concepts.

Cross-cultural validation of the Chinese cultural value scale in tourism

This study aims to validate the Chinese Cultural Value Scale in Tourism (CCV-T) across cultures, using a sample of 405 Australian tourists. Through the application of Confirmatory Composite Analysis (CCA) within Partial Least Squares Structural Equation Modelling (PLS-SEM), the study demonstrates that the CCV-T scale exhibits excellent measurement qualities, including indicator reliability, construct reliability, convergent validity, discriminant validity, and nomological validity. The CCV-T scale comprises five dimensions: Life and Leisure Enjoyment (LLE), Filial Piety and Relationship (FPR), Self-fulfilment, Righteousness, and Humanity, consisting of 17 measurement items. The findings indicate that this scale is suitable for use with Australian tourists, representing a Western cultural context. Moreover, the CCV-T scale demonstrates its potential as a universal tool for measuring cultural values in tourism, applicable across various cultural and national contexts. This makes it a valuable instrument for future cross-cultural studies focusing on cultural values within the realm of tourism. This study makes a significant contribution to the field of cultural value studies in tourism by establishing a scale that is valid across different cultures. Industry professionals and policymakers can utilize this scale and its dimensions for purposes such as tourism product development and policy creation.

Machine culture

The ability of humans to create and disseminate culture is often credited as the single most important factor of our success as a species. In this Perspective, we explore the notion of 'machine culture', culture mediated or generated by machines. We argue that intelligent machines simultaneously transform the cultural evolutionary processes of variation, transmission and selection. Recommender algorithms are altering social learning dynamics. Chatbots are forming a new mode of cultural transmission, serving as cultural models. Furthermore, intelligent machines are evolving as contributors in generating cultural traits-from game strategies and visual art to scientific results. We provide a conceptual framework for studying the present and anticipated future impact of machines on cultural evolution, and present a research agenda for the study of machine culture.

Predicting the use of a COVID-19 contact tracing application: A study across two points of measurements

Contact tracing mobile applications (apps) were important in combating the COVID-19 pandemic. Most previous studies predicting contact tracing app use were cross-sectional and not theory-based. This study aimed at contributing to a better understanding of app use intentions and app use by applying an extended version of the protection motivation theory across two measurement points while accounting for the development of the pandemic. A total of N = 1525 participants from Switzerland (Mage = 53.70, SD = 18.73; 47% female; n = 270 completed both assessments) reported on risk perceptions, response efficacy, self-efficacy, social norms, trust in government, trust in the healthcare system, active search of COVID-19-related information, intentions for and actual (self-reported) app use. Analyses included country-specific incidences and death toll. Increases in response-efficacy, self-efficacy, trust in government, and the active search of COVID-19-related information predicted increased app-use intentions. Increases in self-efficacy, intentions, and the active search of COVID-19-related information predicted increased self-reported app use. Risk perceptions, incidence, and death toll were unrelated to both outcomes. Across an aggravation of the pandemic situation, intentions for and app use were primarily related to response-efficacy, self-efficacy, trust in government, and the active search of COVID-19-related information.

Configurations of human-centered AI at work: seven actor-structure engagements in organizations

Purpose

The discourse on the human-centricity of AI at work needs contextualization. The aim of this study is to distinguish prevalent criteria of human-centricity for AI applications in the scientific discourse and to relate them to the work contexts for which they are specifically intended. This leads to configurations of actor-structure engagements that foster human-centricity in the workplace.

Theoretical foundation

The study applies configurational theory to sociotechnical systems' analysis of work settings. The assumption is that different approaches to promote human-centricity coexist, depending on the stakeholders responsible for their application.

Method

The exploration of criteria indicating human-centricity and their synthesis into configurations is based on a cross-disciplinary literature review following a systematic search strategy and a deductive-inductive qualitative content analysis of 101 research articles.

Results

The article outlines eight criteria of human-centricity, two of which face challenges of human-centered technology development (trustworthiness and explainability), three challenges of human-centered employee development (prevention of job loss, health, and human agency and augmentation), and three challenges of human-centered organizational development (compensation of systems' weaknesses, integration of user-domain knowledge, accountability, and safety culture). The configurational theory allows contextualization of these criteria from a higher-order perspective and leads to seven configurations of actor-structure engagements in terms of engagement for (1) data and technostructure, (2) operational process optimization, (3) operators' employment, (4) employees' wellbeing, (5) proficiency, (6) accountability, and (7) interactive cross-domain design. Each has one criterion of human-centricity in the foreground. Trustworthiness does not build its own configuration but is proposed to be a necessary condition in all seven configurations.

Discussion

The article contextualizes the overall debate on human-centricity and allows us to specify stakeholder-related engagements and how these complement each other. This is of high value for practitioners bringing human-centricity to the workplace and allows them to compare which criteria are considered in transnational declarations, international norms and standards, or company guidelines.

PLGA-based microspheres loaded with metformin hydrochloride: Modified double emulsion method preparation, optimization, characterization, and in vitro evaluation

The modified solvent removal method was used to encapsulate metformin hydrochloride (MH) within poly(lactic-co-glycolic acid) (PLGA) microspheres. The study investigated the effect of varying polymer concentrations on the loading and release of the drug from the microspheres. The encapsulation process involved using a double emulsion method, resulting in microspheres with particle diameters ranging from approximately 4.4μm to 2.7μm. The study achieved high encapsulation efficiencies, ranging from 81% to 90%, with drug loadings ranging from 18% to 11%. The release of the drug from the microspheres followed a biphasic pattern over 24 days, with nearly complete release by the end of the study period. Fourier transform infrared spectroscopy (FTIR) analysis indicated that there were no notable differences between PLGA and MH-loaded microspheres, suggesting minimal interactions between MH and PLGA. Differential scanning calorimetry (DSC) and X-ray diffraction (XRD) techniques were used to investigate the state of the MH within the microspheres. The results suggested that the MH was dispersed at a molecular level within the spheres and existed in an amorphous state. This amorphous state of the drug may explain the slow and prolonged release observed in the study.

Trust-building interventions to home-dwelling persons with dementia who resist care

BACKGROUND

Providing care for a home-dwelling person with dementia who resists care is an ethical and practical complex and challenging task. Faced with a growing number of persons with dementia, the healthcare professional's understanding of how to best care for and prevent unnecessary use of coercion with persons with dementia is of key importance.

RESEARCH AIM

The aim of this study was to explore the use of trust-building interventions in home-dwelling persons with dementia resisting care, as described by health professionals in documents of decisions of forced treatment and care.

RESEARCH DESIGN

A qualitative thematic document analysis inspired by critical realism was conducted.

PARTICIPANTS AND RESEARCH CONTEXT

Descriptions of trust-building interventions were extracted from 88 documents of forced treatment and care for home-dwelling persons with dementia, receiving home healthcare, in 2015 and 2016.

ETHICAL CONSIDERATIONS

Approved by the Regional Committee for Medical and Health Research Ethics, reference number 2017/788, and controlled by the Norwegian Centre for Research Data, reference number 54897. The study adhered to the guidelines of the Declaration of Helsinki.

FINDINGS

We found that "balancing safe care with the person's integrity" was an overarching theme that permeated the descriptions of trust-building interventions in the study. Three main themes were identified when the data were analyzed: safeguarding care, protecting integrity, and optimizing the environment.

DISCUSSION AND CONCLUSION

Health professionals balanced on a thin line between care and integrity when met with resistance from person with dementia. However, the trust-building interventions used in the most challenging situations did not differ from the interventions used in general in dementia care. Two knowledge gaps were identified: how to perform appropriate assessments of situations of home-dwelling persons with dementia when met with resistance to care, and whether environmental initiatives may also benefit home-dwelling persons with dementia who are not easily cared for.

Visualizing profitability: A heatmap approach to evaluate Bitcoin futures trading using VMA trading rules

Given that technical trading charts are publicly available on popular financial websites such as Bloomberg and MarketWatch, it stands to reason that the same technical trading approaches may be applied to cryptocurrency markets. One of these trading strategies is the variable length moving average (VMA), whose flexibility benefit has not been fully explored in prior research. To fill this gap, we evaluate Bitcoin futures using VMA trading rules and provide the results in a heatmap diagram. This approach allows investors to choose the most effective VMA rules, potentially leading to profits. Furthermore, our approach may shed new light on previously unexplored investment thinking and practices that have the potential to improve investment outcomes.

Smoking cessation policy and treatments derived from the protective motivation of smokers: a study on graphic health warning labels

Introduction

Smoking is a leading public health risk. Many countries are reducing the demand for tobacco through graphic health warning labels (GHWLs). This study aims to explore smokers' perceptions of GHWLs and analyze the effect of GHWLs on their behavioral intentions to quit smoking.

Methods

A theoretical model is designed by synthesizing protection motivation theory, an extension of the extended parallel process model, and the theory of planned behavior. We collected a cross-sectional sample of 547 anonymous smokers through a stratified random sampling strategy. GHWLs published in 2011 by the US Food and Drug Administration were used in the survey to assess smokers' responses to them, and then the hypotheses are validated through structural equation models.

Results

The results suggest that perceived severity, perceived vulnerability, response efficacy, and health anxiety have a significant impact on smokers' protection motivation. Furthermore, smokers' protection motivation directly impacts the behavioral intention to quit smoking and indirectly influences intention to quit through attitudes.

Discussion

These findings have practical implications for the implementation and improvement of GHWLs policies. Meanwhile, this study enriches the literature on public health protection measures (i.e., GHWLs) and smokers' behavioral intention to quit smoking.

The impact of industrial robot adoption on corporate green innovation in China

Green innovation plays a crucial role in transforming economic models and achieving sustainable development in enterprises. As an important embodiment of artificial intelligence technology, how industrial robots can effectively promote the green transformation of enterprises has become an important issue. This paper examines the impact and mechanisms of industrial robot adoption on corporate green innovation, as well as its heterogeneous effects. Using data from Chinese listed companies from 2007 to 2019, we find that industrial robot adoption has a significant positive impact on corporate green innovation, enhancing both its quantity and quality. Furthermore, our mechanism study reveals that industrial robot adoption can promote corporate green innovation by improving productivity and environmental management capabilities. Additionally, we investigate the moderating effects of various factors and conclude that the positive impact of industrial robot adoption on green innovation is more pronounced among the state-owned enterprises, enterprises with the intense market competition, as well as enterprises located in regions with higher carbon emissions intensity. This paper contributes to enrich the research on industrial robots and corporate green innovation, and provides a reference to improve environmental management and achieve a low-carbon economy in emerging markets.

Multimodal deep learning for liver cancer applications: a scoping review

Background

Hepatocellular carcinoma is a malignant neoplasm of the liver and a leading cause of cancer-related deaths worldwide. The multimodal data combines several modalities, such as medical images, clinical parameters, and electronic health record (EHR) reports, from diverse sources to accomplish the diagnosis of liver cancer. The introduction of deep learning models with multimodal data can enhance the diagnosis and improve physicians' decision-making for cancer patients.

Objective

This scoping review explores the use of multimodal deep learning techniques (i.e., combining medical images and EHR data) in diagnosing and prognosis of hepatocellular carcinoma (HCC) and cholangiocarcinoma (CCA).

Methodology

A comprehensive literature search was conducted in six databases along with forward and backward references list checking of the included studies. PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) extension for scoping review guidelines were followed for the study selection process. The data was extracted and synthesized from the included studies through thematic analysis.

Results

Ten studies were included in this review. These studies utilized multimodal deep learning to predict and diagnose hepatocellular carcinoma (HCC), but no studies examined cholangiocarcinoma (CCA). Four imaging modalities (CT, MRI, WSI, and DSA) and 51 unique EHR records (clinical parameters and biomarkers) were used in these studies. The most frequently used medical imaging modalities were CT scans followed by MRI, whereas the most common EHR parameters used were age, gender, alpha-fetoprotein AFP, albumin, coagulation factors, and bilirubin. Ten unique deep-learning techniques were applied to both EHR modalities and imaging modalities for two main purposes, prediction and diagnosis.

Conclusion

The use of multimodal data and deep learning techniques can help in the diagnosis and prediction of HCC. However, there is a limited number of works and available datasets for liver cancer, thus limiting the overall advancements of AI for liver cancer applications. Hence, more research should be undertaken to explore further the potential of multimodal deep learning in liver cancer applications.

Videoconference fatigue from a neurophysiological perspective: experimental evidence based on electroencephalography (EEG) and electrocardiography (ECG)

In the recent past, many organizations and people have substituted face-to-face meetings with videoconferences. Among others, tools like Zoom, Teams, and Webex have become the "new normal" of human social interaction in many domains (e.g., business, education). However, this radical adoption and extensive use of videoconferencing tools also has a dark side, referred to as videoconference fatigue (VCF). To date only self-report evidence has shown that VCF is a serious issue. However, based on self-reports alone it is hardly possible to provide a comprehensive understanding of a cognitive phenomenon like VCF. Against this background, we examined VCF also from a neurophysiological perspective. Specifically, we collected and analyzed electroencephalography (continuous and event-related) and electrocardiography (heart rate and heart rate variability) data to investigate whether VCF can also be proven on a neurophysiological level. We conducted a laboratory experiment based on a within-subjects design (N = 35). The study context was a university lecture, which was given in a face-to-face and videoconferencing format. In essence, the neurophysiological data-together with questionnaire data that we also collected-show that 50 min videoconferencing, if compared to a face-to-face condition, results in changes in the human nervous system which, based on existing literature, can undoubtedly be interpreted as fatigue. Thus, individuals and organizations must not ignore the fatigue potential of videoconferencing. A major implication of our study is that videoconferencing should be considered as a possible complement to face-to-face interaction, but not as a substitute.

Top management team career experience heterogeneity, digital transformation, and the corporate green innovation: a moderated mediation analysis

Introduction

Drawing upon upper echelon theory and the resource-based view, this study employs a moderated mediation model to investigate the moderating role and underlying mechanisms of digital transformation in the influence of top management teams (TMT) on corporate green innovation.

Methods

Our analysis of panel data from 19,155 Chinese A-share listed companies (2011-2020) demonstrates that TMT career experience heterogeneity has a positive effect on green innovation, a relationship that is further strengthened by digital transformation.

Results

This study shows the role of digital transformation in amplifying the effects of TMT diversity on green innovation and the crucial role of industry-academia-research collaboration as a mediator. Heterogeneity analysis highlights that non-state-owned enterprises (non-SOEs) show more agility than state-owned enterprises (SOEs) in leveraging heterogeneous TMT to drive green innovation. Conversely, green innovation in SOEs benefits more from digital transformation, which includes both its direct and indirect effects of digital transformation. Enterprises located in non-Yangtze River Economic Belt regions benefit more from digital transformation, demonstrating the importance of a balanced distribution of digital resources.

Discussion

This study provides novel insights into leveraging inclusive leadership and digital capabilities to enhance ecological sustainability. This study underscores the potential of diversified TMTs and digitalization technology integration to catalyze green innovation, which is critical for environmentally responsible transformation.

Are algorithmically controlled gig workers deeply burned out? An empirical study on employee work engagement

BACKGROUND

With the emergence of the gig economy as a new economic form, the influence of algorithmic technology control on gig workers' perceptions and engagement has become a topic of academic concern. This study explores the emotional impact of perceived algorithmic control on gig workers and how it affects their work engagement.

METHODS

This study takes gig workers as the research object to build a structural equation model. Based on the background of gig economy and the Job Demands-Resources model, this paper constructs a mechanism model of the influence of perceived algorithmic control on the work engagement of gig workers. The research data in this paper are collected by questionnaire, and the research hypothesis is tested by the SEM structural model.

RESULTS

The gig workers in this study believed that perceived algorithmic control positively affects employee work engagement. In addition, burnout was positively correlated with employee work engagement. Burnout played a partial mediating role in the relationship between perceived algorithmic control and employee work engagement. And flow experience played a moderating role through the indirect effect of burnout on employees' work engagement.

CONCLUSION

Perceived algorithmic control causes burnout among gig workers, but strong algorithmic technology support provides them with rich work resources that can help them meet their work needs. That is, the gig workers may still demonstrate a high level of work engagement even if they experience burnout symptoms.

Information technology capability, open technological innovation and firm growth

The aim of this paper is to investigate the effects of information technology (IT) capability on firm growth in the context of open technological innovation. The paper utilized a logical deductive approach to develop hypotheses and analytical frameworks, and collected empirical data from 256 Chinese new ventures. Regression analysis and structural equation models were used to test the hypotheses and analyze the data. The results showed that IT capability, including flexibility and integration of information technology, significantly influenced firm growth, and open technological innovation partially mediated the relationship between IT flexibility and firm growth, and significantly mediated the relationship between IT integration and firm growth. The paper's limitations include the cross-sectional design, limited sample size, and potential unobserved variables such as organizational learning that could affect the relationship between IT capability and firm growth. The research is the first to investigate the effects of IT capability on firm growth based on the mediation of open technological innovation in China, contributing to the literature on IT capability and providing insights for managerial practice in the sharing economy era.

Understanding Collective Human Behavior in Social Media Networks Via the Dynamical Hypothesis: Applications to Radicalization and Conspiratorial Beliefs

The dynamical hypothesis has served to explore the ways in which cognitive agents can be understood dynamically and considered dynamical systems. Originally used to explain simple physical systems as a metaphor for cognition (i.e., the Watt governor) and eventually more complex animal systems (e.g., bird flocks), we argue that the dynamical hypothesis is among the most viable approaches to understanding pressing modern-day issues that arise from collective human behavior in online social networks. First, we discuss how the dynamical hypothesis is positioned to describe, predict, and explain the time-evolving nature of complex systems. Next, we adopt an interdisciplinary perspective to describe how online social networks are appropriately understood as dynamical systems. We introduce a dynamical modeling approach to reveal information about emergent properties in social media, where radicalized conspiratorial beliefs arise via coordination between user-level and community-level comments. Lastly, we contrast how the dynamical hypothesis differs from alternatives in explaining collective human behavior in social networks.

Measuring digital transformation stress at the workplace-Development and validation of the digital transformation stress scale

Despite the unquestionable advantages of digital transformation (DT) in organizations, the very process of DT could have an impact on the level of stress of the employees. The negative effects of the digital transformation process can be observed during the implementation of information and communication technologies (ICT) solutions. They are further enhanced by the effects of COVID-19 pandemic, as digital transformation has accelerated to allow for remote work. Herein we distinguish between general stress at the workplace and the very specific type of stress, namely digital transformation stress (DTS). We assumed that this type of stress appears when rapid implementation of ICT solutions is introduced with time pressure and incertitude of further results. To quantify this phenomenon, we developed a new self-report scale-the Digital Transformation Stress Scale (DTSS), measuring employees' stress stemming from the process of digital transformation in organizations. The psychometric validity of the scale was evaluated in two studies: Study1 conducted at the beginning of COVID-19 pandemic in 2020 (N = 229) and Study 2 in 2021 (N = 558), after a year of mostly remote work. The results confirmed good reliability with Cronbach's Alpha α = .91 in Study 1 and α = .90 in Study 2 and assumed unidimensional factorial validity of the scale in both studies. All items of the scale had good difficulty and discrimination values evaluated in Item Response Theory, i.e., IRT approach. The scale showed predicted convergent validity as the indicator of the digital transformation stress moderately correlated with general stress at work. Moreover, the assumption that even employees with high ICT skills could be affected by DTS was confirmed. Additionally, the results indicated that digital transformation stress was significantly higher among employees who reported both issues: ongoing digital solutions projects at the workplace and high impact of COVID-19 pandemic on their work. The scale could be used in future work on measuring and counteracting digital transformation stress at the workplace.

Does digital transformation foster corporate social responsibility? Evidence from Chinese mining industry

Mining activities induce some social problems, such as polluted environments, the destruction of aquatic live, which have long been debated by scholars and practitioners. To mitigate this problem, underpinning dynamic capability view, our study explores whether the digital transformation (DT) affects corporate social responsibility (CSR) by using 1308 Chinese mining A-shared listed firms from 2010 to 2021, and how the potential relationship is moderated by environmental uncertainty (EU) and supply chain concentration (SCC). Applying fixed effects regressions, we find that DT fosters CSR in the mining industry, but CSR performance is weakened when DT processed at higher EU and SCC respectively. Our findings enrich the literature on CSR of mining industry and highlight that DT is an important driver that shapes CSR practice.

Research on the doctors' win in crowdsourcing competitions: perspectives on service content and competitive environment

Medical crowdsourcing competitions can help patients get more efficient and comprehensive treatment advice than "one-to-one" service, and doctors should be encouraged to actively participate. In the crowdsourcing competitions, winning the crowdsourcing competition is the driving force for doctors to continue to participate in the service. Therefore, how to improve the winning probability needs to be revealed. From the service content and competitive environment perspectives, this study introduces doctor competence indicators to investigate the key influence factors of doctors' wins on the online platform. The results show that the emotional interaction in doctors' service content positively influences doctors' wins. However, the influence of information interaction presents heterogeneity. Conclusive information helps doctors win, while suggestive information negatively affects them. For the competitive environment, the competitive environment negatively moderates the relationship between doctors' service content and doctors' wins. The results of this study provide important contributions to the research on crowdsourcing competitions and online healthcare services and guide the participants of the competition, including patients, doctors, and platforms.

Protecting the mental health of the future workforce: exploring the prevalence of cognitive distortions among nursing students

BACKGROUND

Evidence suggests that stress and anxiety are commonly experienced by nursing students. Cognitive distortions, or negative thinking styles, are linked to stress and anxiety and have been shown to have a detrimental effect on mental health. Therefore, identification of cognitive distortions among nursing students may serve to prevent the development of mental health issues among this population.

AIM

To explore the prevalence of cognitive distortions among a sample of nursing students, identify which types were more common and determine how these types varied by sociodemographic characteristics.

METHOD

A cross-sectional online questionnaire survey was conducted with undergraduate nursing students at a university in Palestine. All students enrolled during the 2020-21 academic year ( n =305) were invited to participate, of whom 176 responded.

RESULTS

Of the 176 students who responded, 9 (5%) had severe levels of cognitive distortion, 58 (33%) had moderate levels, 83 (47%) had mild levels and 26 (15%) had healthy levels. Of the nine types cognitive distortions described in the questionnaire, respondents engaged most in emotional reasoning, followed by perfectionist thinking and 'What if?'

QUESTIONS

The cognitive distortions that respondents were least likely to engage in were polarised thinking and overgeneralising. Single, first-year and younger respondents had a significantly higher level of cognitive distortions.

CONCLUSION

The results emphasise the importance of identifying and managing cognitive distortions in nursing students, not only in the mental health clinics at the university where the study took place, but also in preventive well-being services. Universities should prioritise nursing students' mental health.

Customers' Perception Towards Accountability of Diagnostic Centres: Evidence from India

Introduction

A deeper comprehension of accountability is beneficial for identifying and fostering tactics to boost accountability and raise the standard of healthcare. The main objective of the present paper is to measure the level of customers' perception of accountability of healthcare diagnostic service providers and to identify the factors that influence the perception of accountability of healthcare diagnostic service customers.

Methods

A questionnaire survey was used to collect data from 393 customers of various diagnostic centers in the city of Guwahati from the state of Assam in India. The reliability of the data was tested using Cronbach's Alpha. Statistical tests were used for the mean, percentage, standard deviation, etc. Factor analysis was performed to find out the factors affecting customers' perception of accountability.

Results

It was found that the overall level of perception of the customers with respect to the accountability of diagnostic centers in Guwahati is of high level. The study reveals four variables that affect how customers perceive the accountability of diagnostic service providers. These are Competency, Responsiveness, Compliance with protocol, and Problem-solving approach.

Discussion

Significant contributions have been made by the present study in terms of the development of a scale to measure customers' perception of accountability of diagnostic centre, and the development of a theoretical model to explain this accountability.

Predictors of social networking service addiction

The surge in social network services (SNS) usage has ignited concerns about potential addictive behaviors stemming from excessive engagement. This research focuses on pinpointing the primary determinants of SNS addiction by introducing a theoretical framework centered on flow, perceived enjoyment, and habit. A sample of 282 SNS users from South Korea was surveyed, and the gathered data was assessed through partial least squares structural equation modeling (PLS-SEM). The evaluation revealed that positive affect closely relates to flow and perceived enjoyment, whereas negative affect amplifies flow but diminishes perceived enjoyment. Additionally, the research underscored that social influence significantly shapes habits and affects perceived enjoyment. Notably, flow demonstrated a strong connection to addiction, and perceived enjoyment influenced both flow and habit significantly. Habit was directly linked to addiction. These insights pave the way for more in-depth studies on SNS addiction patterns and offer a foundation for devising effective strategies to mitigate its adverse effects.

Longitudinal Relationships Between Interparental Conflict and Adolescent Depression: Moderating Effects of School Connectedness

The present study examined the association between interparental conflict and adolescent depression, and explored the moderating role of school connectedness in this association, in a Chinese context. Data were analyzed from 867 Chinese adolescents who completed the survey at 2 time points. Cross-lagged analyses indicated that interparental conflict in 7th grade adolescents significantly predicted depression in 8th grade, but adolescent depression in 7th grade was not a significant predictor of interparental conflict in 8th grade. In addition, there was a significant negative moderating effect of school connectedness, as high levels of school connectedness reduced the negative effect of interparental conflict on adolescent depression. Thus, the association between interparental conflict and adolescent depression has a unidirectional prediction. School connectedness can relieve the adverse effects of interparental conflict on adolescent depression.