Testing complex models with small sample sizes: A historical overview and empirical demonstration of what Partial Least Squares (PLS) can offer differential psychology

Exploring the acceptance of mixed reality technology innovation among mining industry workers

Mixed Reality (MR) technology is an innovative technology that has the capability to transform and boost productivity in the mining industry. At the same time, the scarcity of guidelines and research in examining the acceptance of MR technology innovation in the mining sector could make the adoption of MR technology innovation unpredictable. Therefore, in order to support the successful adoption of MR technology innovation in the mining sector, this manuscript is designed to better understand the factors influencing its acceptance among workers. Based on the literature review, five factors are hypothesized to influence the acceptance of mining industry workers regarding MR technology innovation. The factors underwent testing on a sample of 253 mining industry workers, which was obtained via an office-intercept survey and processed using SmartPLS software. The model has proven to be highly robust, as indicated by its outstanding scores in validity, reliability, multicollinearity, and goodness of fit. The results from the analysis indicate that attitude, perceived usefulness, and perceived compatibility are significant factors influencing the acceptance of MR technology innovation. While perceived novelty is an important factor affecting attitude, it does not significantly impact the acceptance of MR technology innovation. Moreover, perceived ease of use was not found to be a significant factor in influencing the attitude and intention to adopt MR technology innovation. This research offers both theoretical and managerial implications for its findings.

The role of Contact-Tracing Mobile Apps in pandemic prevention: A multidisciplinary perspective on health beliefs, social, and technological factors

During the recent COVID-19 pandemic, governments implemented mobile applications for contact tracing as a rapid and effective solution to mitigate the spread of the virus. However, these seemingly straightforward solutions did not achieve their intended objectives. In line with previous research, this paper aims to investigate the factors that influence the acceptance and usage of contact-tracing mobile apps (CTMAs) in the context of disease control. The research model in this paper integrates the Unified Theory of Acceptance and Use of Technology and the Health Belief Model (HBM). The present study involved a diverse sample of 770 French participants of all genders, ages, occupations, and regions. Critical elements from the Health Belief Model, technological factors related to the app, and social factors, including the centrality of religiosity, were assessed using well-established measurement scales. The research's findings demonstrate that several factors, such as perceived benefits and perceived severity, social influence, health motivation, and centrality of religiosity, significantly impact the intention to use a CTMA. These findings suggest that CTMAs hold promise as valuable tools for managing future epidemics. However, addressing challenges, revising implementation strategies, and potentially collaborating with specialized industry partners under regulatory frameworks are crucial. This practical insight can guide policymakers and public health officials in their decision-making.

Development and validation of the Arabic children's strong communication scale: a pilot study

Background

The assessment of communication skills in Arabic-speaking children has been challenged by a lack of culturally and linguistically appropriate tools. The Arabic children's strong communication scale (ACSCS) was developed in response to this need, adapting the children's communication checklist-2 (CCC-2) to better suit the Arabic context.

Aims

This study aimed to validate the ACSCS and establish its utility in measuring communication strengths among Arabic-speaking children.

Methods

A total of 102 participants completed the questionnaire, which included relatives, teachers, and speech therapists of children aged 4-16. Twenty-two items were developed that targeted children communication strengths. The items were based on a theoretical framework that encompassed language proficiency, social communication, and behavioral aspects. Exploratory factor analysis (EFA) and confirmatory composite analysis (CCA) were employed to validate the structure of the ACSCS. The scale's reliability was tested using Cronbach's alpha and composite reliability, while its validity was assessed through convergent and discriminant validity measures.

Results

The EFA and CCA confirmed a clear distinction of communication strengths. Reliability analyses indicated high internal consistency for the ACSCS. Discriminant validity was established, showing that the ACSCS accurately measures distinct facets of communication skills.

Conclusion

The ACSCS is a valid and reliable instrument for assessing communication skills in Arabic-speaking children, reflecting strengths across various domains.

Implications

The scale has significant implications for educational and clinical settings, providing a culturally sensitive tool for practitioners and researchers to assess and support the communication development of Arabic-speaking children.

Effects of early midlife ovarian removal on sleep: Polysomnography-measured cortical arousal, homeostatic drive, and spindle characteristics

Bilateral salpingo-oophorectomy (BSO; removal of ovaries and fallopian tubes) prior to age 48 is associated with elevated risk for both Alzheimer's disease (AD) and sleep disorders such as insomnia and sleep apnea. In early midlife, individuals with BSO show reduced hippocampal volume, function, and hippocampal-dependent verbal episodic memory performance associated with changes in sleep. It is unknown whether BSO affects fine-grained sleep measurements (sleep microarchitecture) and how these changes might relate to hippocampal-dependent memory. We recruited thirty-six early midlife participants with BSO. Seventeen of these participants were taking 17β-estradiol therapy (BSO+ET) and 19 had never taken ET (BSO). Twenty age-matched control participants with intact ovaries (AMC) were also included. Overnight at-home polysomnography recordings were collected, along with subjective sleep quality and hot flash frequency. Multivariate Partial Least Squares (PLS) analysis was used to assess how sleep varied between groups. Compared to AMC, BSO without ET was associated with significantly decreased time spent in non-rapid eye movement (NREM) stage 2 sleep as well as increased NREM stage 2 and 3 beta power, NREM stage 2 delta power, and spindle power and maximum amplitude. Increased spindle maximum amplitude was negatively correlated with verbal episodic memory performance. Decreased sleep latency, increased sleep efficiency, and increased time spent in rapid eye movement sleep were observed for BSO+ET. Findings suggest there is an association between ovarian hormone loss and sleep microarchitecture, which may contribute to poorer cognitive outcomes and be ameliorated by ET.

Technophobia Mediates the Associations Between Age, Education Level, and Readiness to Adopt New (Health) Technology Among Aging Adults

Current research on technophobia and readiness to adopt new technology in the aging population is often limited to the context of specific technologies and treats technophobia as a unidimensional construct. In this study, we investigate the role of demographic variables and various aspects of technophobia in determining Slovenian aging adults' readiness to adopt new technology. Partial least squares structural equation modeling revealed that age and educational level generally significantly predicted technophobia and indirectly contributed to readiness to adopt new technology via the human versus machine ambiguity dimension of technophobia. Moreover, age and human versus machine ambiguity were significant direct negative predictors of readiness to adopt new technology. Findings obtained specifically in the health sub-domain were similar. Our results have important implications for addressing the low adoption of new technology among aging adults as they provide guidance on whom should be targeted with interventions and which aspects need to be addressed.

The Mediating Role of Students' Health Information Literacy Skills: Exploring the Relationship Between Web Resource Utilization and Health Information Evaluation Proficiency

BACKGROUND

In an increasingly digital age, students rely heavily on web resources to access health information. However, evaluating the reliability and relevance of such information is crucial for informed decision-making. This study examines the importance of students' health information literacy skills (HILS) as mediators, particularly their ability to utilize web resources and successfully evaluate health information.

OBJECTIVES

This research investigates the mediating role of students' HILS in the relationship between their utilization of web resources and their proficiency in evaluating health information.

METHOD

An online survey was distributed to current students at a public university in Bangladesh as part of the data collection process for this study. Using Google Forms, the authors created a structured questionnaire. The survey was distributed through Messenger groups, Facebook pages and email invitations to reach the target audience effectively. The researchers thoroughly analysed the gathered data using structural equation modelling (SEM) techniques and SmartPLS-4 software to look for correlations between the variables.

RESULT

The study revealed that among the 122 participants, a significant number (N = 47) accessed internet health information on an occasional basis, whereas 30 individuals reported using it infrequently. The data revealed that 58 individuals, accounting for 47.5% of the sample, possessed the necessary abilities to access and assess online health information. Additionally, 57 participants, representing 46.7% of the sample, demonstrated proficiency in conducting online health information searches. The measurement model demonstrated good convergent validity, as evidenced by composite reliability (CR) scores and Cronbach's ⍺ values over 0.700 and an average extracted variance (AVE) of 0.500. The structural model demonstrated R2 values exceeding 0.1, thus validating its dependable forecasting capability. Notable effects were seen, with f2 values of 0.335 and 0.317 for the challenges in accessing and evaluating health information (CAEHI) to health information evaluation (HIE) and CAEHI to HILS relationships, respectively. The mediation analysis found that HILS act as a mediator between types of web resources (TWRs) and HIE, with TWR having an indirect impact on HIE through HILS.

DISCUSSION

The result supports all hypotheses. Therefore, it is evident that students' HILS mediate the relationship between utilization of web resources and their proficiency in evaluating health information.

CONCLUSION

This study's findings could significantly impact instructional practices meant to raise students' health information literacy. This initiative seeks to enable students to make informed decisions about their health by providing them with the necessary tools to analyse and evaluate health-related information.

PATIENT OR PUBLIC CONTRIBUTION

Research on health information literacy can assist patients and the general public by instructing them on how to assess trustworthy online health resources. Students gave insightful feedback that assisted in shaping the study and guaranteeing its relevancy. If they better comprehend health information literacy, patients and the general public can use web-based resources and critically evaluate health information more accurately.

Psychometric Features of the Arabic Version of the Children's Communication Checklist (CCC2)

Background

The Children's Communication Checklist-Second Edition (CCC-2) uniquely assesses overlooked communication elements such as pragmatics and context use, which are rarely addressed by conventional language assessments. This study focuses on the psychometric assessment of the CCC-2's Arabic version, tailored to evaluate communication challenges in Arabic-speaking children.

Aim

This study aims to validate the Arabic version of CCC-2 by testing its reliability and validity specifically for three higher-order constructs: Specific Language Impairment (SLI), Social Communication Disorder (SCD), and Impaired Behaviour within the Arabic-speaking population.

Methods

A total of 121 participants in Saudi Arabia, showcasing diverse age and gender distributions, participated in the validation process. The study employed a Reflective-Reflective Higher-Order Construct (R-R HOC) model using partial least squares-structural equation modeling (PLS-SEM) to ensure content validity and cross-cultural adaptation of the translated items. Metrics such as Cronbach's alpha for reliability and Average Variance Extracted (AVE) for convergent validity were specifically examined.

Results

The study confirmed the reliability and validity of the Arabic CCC-2, demonstrating robust psychometric properties, with Cronbach's alpha and AVE scores indicating satisfactory reliability and convergent validity across constructs. Structural model evaluation further supported the strong interrelations among the constructs of SLI, SCD, and Impaired Behaviour.

Conclusion

The results substantiate the Arabic CCC-2 as a reliable and valid tool for assessing communication challenges in Arabic-speaking children, particularly for diagnosing SLI, SCD, and Impaired Behaviour.

Implications

The validated Arabic CCC-2 has significant potential for application in clinical and educational settings and suggests directions for future research to explore its utility further in diverse clinical populations.

Understanding the Meat-Masculinity Link: Traditional and Non-Traditional Masculine Norms Predicting Men's Meat Consumption

Conformity to masculinity ideology predicts men's meat consumption and willingness to reduce their meat intake, but it is unknown which specific masculine norms account for these relationships. This study investigated which traditional and non-traditional masculine norms predict meat consumption, red and processed meat consumption, and willingness to reduce meat consumption in 557 Australian and English males. Men who support the use of physical violence and place high importance on sex ate more meat. Willingness to reduce was highest among men with gender egalitarian views. Targeting these specific masculine norms may be important for mitigating men's overconsumption of meat.

Non-destructive prediction of TVB-N using color-texture features of UV-induced fluorescence image for freeze-thaw treated frozen-whole-round tilapia

BACKGROUND

The investigation of UV-induced fluorescence imaging coupled with machine learning was conducted to non-destructively detect the total volatile basic nitrogen (TVB-N) of frozen-whole-round tilapia (FWRT) during freezing and thawing. The UV-induced fluorescence images of FWRT at the wavelength of 365 nm were acquired by self-developed fluorescence image acquisition system. In total, 169 color and texture features based on RGB, hue-saturation-intensity and L*a*b* color spaces and gray level co-occurrence matrix were extracted, respectively. Successive projections algorithm (SPA) was employed to select the optimal 16 features to achieve feature dimension reduction modeling. With full and extracted features as input, the models of partial least squares regression (PLSR), least-squares support vector machine (LSSVM) and convolutional neural network (CNN) were established for TVB-N prediction.

RESULTS

Results indicated that the full features-based CNN performed better than SPA based prediction models (SPA-PLSR and SPA-LSSVM). The CNN model was determined to be the optimal with an RP2 value of 0.9779, RMSEP value of 1.1502 × 10-2  g N kg-1 and RPD value of 6.721 for TVB-N content predictiin.

CONCLUSION

The CNN method based on UV fluorescence imaging technology has potential for quality and safety detection of FWRT. © 2023 Society of Chemical Industry.

Pathways from childhood trauma to aberrant salience: A structural equation approach to mentalization model

OBJECTIVE

The aim of this study was to explore the relationship between affective disturbances and aberrant salience in the context of childhood trauma, attachment, and mentalization in an analogue study.

METHODS

Using a cross-sectional design, an online community sample completed self-report measures of key variables. Structural equation modelling was used to test childhood trauma's influence on aberrant salience via a set of intermediate risk factors (depression, negative schizotypy, and insecure attachment). These intermediate risk factors were assumed to lead to the proximal risk factors of aberrant salience (i.e., disorganized schizotypy and disorganized attachment) depending on the vulnerability of mentalizing capacity to elevated stress.

RESULTS

The sample (N = 1263) was 78% female and aged between 18 and 35 years. The tested models closely fitted the observed data, revealing significant pathways from childhood trauma to aberrant salience via the hypothesized pathways. The direct effect of childhood trauma on aberrant salience was significant.

CONCLUSION

Findings suggest that the pathway to aberrant salience may be characterized by disorganization of self-state and intersubjectivity as a function of diminishment in mentalizing ability. This may relate to changes in attachment organization and socio-cognitive capacity, which could constitute possible risk factors signalling development of aberrant salience.

Transformational leadership and organizational learning culture in the health sector: The mediating and moderating role of intrinsic work motivation

BACKGROUND

Transformational leadership and organizational learning culture have become exciting topics to be explored over the last few decades. However, several previous studies have shown certain inconclusive findings regarding the link between transformational leadership and organizational learning culture.

OBJECTIVE

This study fills this gap by developing a clear model and aims to examine the extent of the impact of (1) transformational leadership on organizational learning culture and intrinsic work motivation, (2) intrinsic work motivation on organizational learning culture, (3) intrinsic work motivation in mediating and moderating the relationship between transformational leadership and organizational learning culture.

METHODS

The data of this study are collected from employees working at the community health center in Indonesia. A partial least squares (PLS) based structural equation modeling (SEM) technique is used to analyze the data by utilizing the SmartPLS 3.0 software package.

RESULTS

First, the results concluded that transformational leadership has a significant impact on organizational learning culture and intrinsic work motivation. Second, intrinsic work motivation has a significant impact on organizational learning culture. Third, intrinsic work motivation fully mediates the relationship between transformational leadership and organizational learning culture. Also, intrinsic work motivation moderates these variables' relationships.

CONCLUSION

The theoretical model of previous research on the relationship between transformational leadership and organizational learning culture with intrinsic work motivation as a mediator and moderator variable has yet to be fully developed both in public and private organizations, particularly in the health sector.

Explaining Chinese Consumers' Continuous Consumption Intention toward Prepared Dishes: The Role of Perceived Risk and Trust

With the rapid development and the increasing importance of the consumer market of prepared dishes in China, it is imperative to study the formation mechanism of Chinese consumers' continuous consumption intention (CCI) toward prepared dishes for promoting the sustainable development of Chinese prepared dishes industry. The aim of this study is to study the formation mechanism and the role of perceived risk and trust in it. Based on the Expectation Confirmation Model, this study constructed a model of continuous consumption intention of prepared dishes by introducing perceived risk and trust. 381 adult consumers were surveyed and the data was analyzed by an Exploratory Factor Analysis and the Partial Least Squares Structure Equation Model. The results showed that: (1) The confirmation of expectation had a significant positive impact on trust and satisfaction, a significant negative impact on the perceived risk (PR). Trust and satisfaction had a significant positive, while PR had a significant negative, impact on CCI. (2) The dimensions of PR included social, health, quality, psychological and purchasing risk, among which quality risk had a significant negative impact on CCI. (3) All dimensions of trust (ability, integrity, benevolence and government trust) had a significant positive impact on CCI, among which integrity trust played the most important role. (4) Overall, trust had a significant negative impact on PR. Benevolence trust could mitigate all dimensions of PR, integrity trust could mitigate all dimensions of PR except health risk, and ability trust, government trust could only mitigate quality risk. Therefore, the enterprises should pay high attention to the quality of their products and the establishment and maintenance of consumer trust, and the government should establish an authoritative image.

A hurting embrace does not last long: toxicity of abusive supervision erodes leader and organizational identification to cause turnover intention

PURPOSE

The study aims to investigate the mediating roles of leadership identification and organizational identification linking abusive supervision to employees' turnover intention.

DESIGN/METHODOLOGY/APPROACH

Using a self-administer survey design, data were collected from 229 nursing workforce employed in hospitals located in Karachi.

FINDINGS

The research findings show that abusive supervision has a considerably positive influence on turnover intention. The findings also show that abusive supervision negatively affects nurses' leadership identification and organizational identification. Leadership identification and organizational identification were found to be negatively related to nurses' turnover intention. Finally, leadership identification and organizational identification were found to parallelly mediate the relationship between abusive supervision and turnover intention.

ORIGINALITY/VALUE

This study helped uncover the previously unknown parallel mediating mechanism of organizational identification and leadership identification. Additionally, abusive supervision was found to negatively affect employees' leadership identification.

Exploring the antecedents of AI adoption for effective HRM practices in the Indian pharmaceutical sector

Purpose: The aim of this research is to investigate the factors that facilitate the adoption of artificial intelligence (AI) in order to establish effective human resource management (HRM) practices within the Indian pharmaceutical sector. Design/methodology/approach: A model explaining the antecedents of AI adoption for building effective HRM practices in the Indian pharmaceutical sector is proposed in this study. The proposed model is based on task-technology fit theory. To test the model, a two-step procedure, known as partial least squares structural equational modeling (PLS-SEM), was used. To collect data, 160 HRM employees from pharmacy firms from pan India were approached. Only senior and specialized HRM positions were sought. Findings: An examination of the relevant literature reveals factors such as how prepared an organization is, how people perceive the benefits, and how technological readiness influences AI adoption. As a result, HR systems may become more efficient. The PLS-SEM data support all the mediation hypothesized by proving both full and partial mediation, demonstrating the accuracy of the proposed model. Originality: There has been little prior research on the topic; this study adds a great deal to our understanding of what motivates human resource departments to adopt AI in the pharmaceutical companies of India. Furthermore, AI-related recommendations are made available to HRM based on the results of a statistical analysis.

Attachment to Peers and Parents in Italian Catholic Seminarians: Associations with Identity and Well-Being

By reference to a sample of 173 emerging adult seminarians in South Italy, this study evaluates the influence of attachment to one's parents and peers on identity development and well-being in seminarians. The statistical analysis (PLS-PM) reports that secure attachment to one's mother and secure attachment to a peer are positively associated with identity and well-being. No such association is found with attachment to one's father. Attachment to one's mother loses its association with identity during the shift from the freshmen to the senior group and is replaced by attachment with one's peers. Both attachment relationships lose their associations with well-being between these groups. Our results demonstrate that attachment to one's peers becomes the most relevant relationship, thus supporting this specific form of relationship among seminarians.

LGCM and PLS-SEM in Panel Survey Data: A Systematic Review and Bibliometric Analysis

The application of Latent Growth Curve Model (LGCM) and Partial Least Square Structural Equation Modeling (PLS-SEM) has gained much attention in panel survey studies. This study explores the distributions and trends of LGCM, and PLS-SEM used in panel survey data. It highlights the gaps in the current and existing approaches of PLS-SEM practiced by researchers in analyzing panel survey data. The integrated bibliometric analysis and systematic review were employed in this study. Based on the reviewed articles, the LGCM and PLS-SEM showed an increasing trend of publication in the panel survey data. Though the popularity of LGCM was more outstanding than PLS-SEM for the panel survey data, LGCM has several limitations such as statistical assumptions, reliable sample size, number of repeated measures, and missing data. This systematic review identified five different approaches of PLS-SEM in analyzing the panel survey data namely pre- and post-approach with different constructs, a path comparison approach, a cross-lagged approach, pre- and post-approach with the same constructs, and an evaluation approach practiced by researchers. None of the previous approaches used can establish one structural model to represent the whole changes in the repeated measure. Thus, the findings of this paper could help researchers choose a more appropriate approach to analyzing panel survey data.

Strategic orientation, business model innovation and corporate performance—Evidence from construction industry

In the highly competitive Chinese construction market, developing a strategic orientation alone fails to maintain the sustainable competitive advantage of firms. In this paper, the mechanism of strategic orientation and business model innovation on corporate performance in a dynamic environment is investigated. Based on a sample of 356 Chinese construction firms, the partial least squares structural equation modelling (PLS-SEM) was adopted to test the hypotheses. It is found that entrepreneurial orientation and market orientation affect corporate performance differently. Unlike market orientation, which directly affects corporate performance, entrepreneurial orientation through business model innovation exerts influence instead of direct affection. Business model innovation plays a fully mediating role between entrepreneurial orientation and corporate performance and partially between market orientation and corporate performance. Meanwhile, environmental dynamism can positively moderate the relationship between business model innovation and corporate performance. This paper deepens the research on strategic orientation, business model innovation and corporate performance. The findings can provide a reference for construction firm managers to develop strategies and conduct business model innovation, which can finally help seek sustainable development in a dynamic environment.

Research on the Influence Mechanisms of the Affective and Cognitive Self-Esteem

Most prior studies examined the direct relation between social media usage and loneliness. This study tries to reveal the covert mechanisms involved in how different types of SMU affect older adults' loneliness, which has rarely been an object of attention in the prior literature. A partial least squares structural equation modeling (PLS-SEM) method was used to analyze the data collected from 466 older adults in a field study. This research divided self-esteem into two dimensions: affective self-esteem (AE) and cognitive self-esteem (CE). The study found that changes in CE only stemmed from functional SMU (FSMU), rather than active SMU (ASMU) and passive SMU (PSMU). ASMU and PSMU had a significant effect on FSMU. CE had a significant effect on loneliness. Objective social isolation (OSI) had a positive relationship with loneliness. Moreover, PSMU, FSMU, and CE had a significant effect on ASMU, CE, and AE, respectively. For older adults, the feeling of connecting with others was more valuable than acquiring specific outcomes. The mediation test results showed that FSMU could play a completely mediating role in the relationship between ASMU and PSMU, as well as that between ASMU and CE. CE significantly mediated the relationship between FSMU and loneliness. Finally, the total effect sizes of ASMU and PSMU on FSMU were significant, and those of CE on older adults' loneliness and AE were significant, while the total effect of AE on older adults' loneliness was non-significant. AE moderated the relationship between PSMU and OSI, so PSMU was related to higher OSI only for users experiencing high AE. These findings offer a guide for the use of social media to conduct future loneliness interventions for older adults.

Analyzing the determinants to accept a virtual assistant and use cases among cancer patients: a mixed methods study

Background

Technological progress in artificial intelligence has led to the increasing popularity of virtual assistants, i.e., embodied or disembodied conversational agents that allow chatting with a technical system in a natural language. However, only little comprehensive research is conducted about patients' perceptions and possible applications of virtual assistant in healthcare with cancer patients. This research aims to investigate the key acceptance factors and value-adding use cases of a virtual assistant for patients diagnosed with cancer.

Methods

Qualitative interviews with eight former patients and four doctors of a Dutch radiotherapy institute were conducted to determine what acceptance factors they find most important for a virtual assistant and gain insights into value-adding applications. The unified theory of acceptance and use of technology (UTAUT) was used to structure perceptions and was inductively modified as a result of the interviews. The subsequent research model was triangulated via an online survey with 127 respondents diagnosed with cancer. A structural equation model was used to determine the relevance of acceptance factors. Through a multigroup analysis, differences between sample subgroups were compared.

Results

The interviews found support for all factors of the UTAUT: performance expectancy, effort expectancy, social influence and facilitating conditions. Additionally, self-efficacy, trust, and resistance to change, were added as an extension of the UTAUT. Former patients found a virtual assistant helpful in receiving information about logistic questions, treatment procedures, side effects, or scheduling appointments. The quantitative study found that the constructs performance expectancy (ß = 0.399), effort expectancy (ß = 0.258), social influence (ß = 0.114), and trust (ß = 0.210) significantly influenced behavioral intention to use a virtual assistant, explaining 80% of its variance. Self-efficacy (ß = 0.792) acts as antecedent of effort expectancy. Facilitating conditions and resistance to change were not found to have a significant relationship with user intention.

Conclusions

Performance and effort expectancy are the leading determinants of virtual assistant acceptance. The latter is dependent on a patient’s self-efficacy. Therefore, including patients during the development and introduction of a VA in cancer treatment is important. The high relevance of trust indicates the need for a reliable, secure service that should be promoted as such. Social influence suggests using doctors in endorsing the VA.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-022-08189-7.

Adoption of AI-Enabled Tools in Social Development Organizations in India: An Extension of UTAUT Model

Social development organizations increasingly employ artificial intelligence (AI)-enabled tools to help team members collaborate effectively and efficiently. These tools are used in various team management tasks and activities. Based on the unified theory of acceptance and use of technology (UTAUT), this study explores various factors influencing employees' use of AI-enabled tools. The study extends the model in two ways: a) by evaluating the impact of these tools on the employees' collaboration and b) by exploring the moderating role of AI aversion. Data were collected through an online survey of employees working with AI-enabled tools. The analysis of the research model was conducted using partial least squares (PLS), with a two-step model - measurement and structural models of assessment. The results revealed that the antecedent variables, such as effort expectancy, performance expectancy, social influence, and facilitating conditions, are positively associated with using AI-enabled tools, which have a positive relationship with collaboration. It also concluded a significant effect of AI aversion in the relationship between performance expectancy and use of technology. These findings imply that organizations should focus on building an environment to adopt AI-enabled tools while also addressing employees' concerns about AI.

Big data driven innovation for sustaining SME supply chain operation in post COVID-19 scenario: Moderating role of SME technology leadership

Due to the COVID-19 pandemic, there is an unprecedented crisis for businesses. The small and medium enterprises (SMEs) have been impacted even more, due to their limited resources. Extant literature has prescribed many treatments on how SMEs could survive in post COVID-19 situation, but studies did not analyse how big data driven innovation could improve supply chain management (SCM) process in the post COVID-19 pandemic under the moderating influence of SME technology leadership support. Thus, there is a research gap in this important domain. The aim of this study is to examine the impact of big data driven innovation and technology capability of the SME on its supply chain system. The study also investigates the moderating role of SME technology leadership support on SME performance in the post COVID-19 scenario. With the help of literature and resource-based view (RBV) and dynamic capability view (DCV) theory, a theoretical model has been developed conceptually. Later the model is validated using structural equation modelling (SEM) technique with 327 usable respondents from SMEs from India. The study found that both big data driven innovation and the techno-functional capability of SME impacts supply chain capability which in turn impacts the SME performance in the post COVID-19 scenario. The study also finds that there will be a moderating impact of SME technology leadership support on SME performance.

Cybervictimization and Depression among Adolescents: Coping Strategies as Mediators

Studies have shown the relationships among cybervictimization, coping strategies, and depression, but no study has examined the mechanism that links the three variables. Accordingly, this study used the transactional model of stress and coping theory as a conceptual framework and proposed that coping strategies are mediators for the effects of cybervictimization on depression. A total of 387 adolescents were recruited by using the purposive sampling method. The results showed that cybervictimization is not directly associated with depression. All the coping strategies are found to be associated with cybervictimization, but only the avoidant coping strategy is the statistical mediator for the effects of cybervictimization on depression. This study’s findings suggest that the transactional model of stress and coping theory may provide a framework in the area of cyberbullying and recommend more actions to be taken in order to reduce the use of avoidance coping strategies among victims of cyberbullying.

Agile Talent Management

Organisational agility is becoming increasingly important in establishing long-term competitive advantage. Organisational agility has recently gained prominence as a result of the COVID-19 pandemic. The main issue with organisational agility is determining how to make employees more agile. In this research paper, the researcher emphasised two essential dominants for organisational agility: agile competencies and agile talent management practices. For this, 50 employees from various organisations and institutes in Vadodara were surveyed using questionnaires. PLS 3.3.2 was utilised to analyse the proposed model using partial least squares structural equation modelling. This research paper advances agility research by emphasising the positive association between agile talent management practices and organisational agility. This study also contributes to human resource management by underlining the inherent linkages to HRM and the lineage of a competence-based organization agility model.

Influence of Knowledge Leadership on IT Project Performance and Quality Practices

The present study investigates how knowledge leadership affects project performance and quality practices in Information Technology (IT) projects. A questionnaire-based survey was designed to collect responses from 198 mid-level employees of five big Indian IT firms. The data was analysed using PLS-based SEM technique. Our findings revealed that knowledge leadership skills, cooperation and trust, and knowledge integration positively influence project performance and project quality practices. The risk-mitigation efforts of a knowledge leader moderate the relationship between knowledge leadership, project performance and quality practices. The current research has contributed to limited leadership and project management literature available. Knowledge-oriented leadership is a mixture of transformational and transactional leadership and has significant implications on the innovation performance of technology-intensive organizations.

You stay home, but we can't: Invisible 'dirty' work as calling amid COVID-19 pandemic

Research on calling has largely focused on its benefits for employees. This study contends that experiencing work as a moral duty based calling in invisible-dirty occupations can yield both favorable and unfavorable employee outcomes. Whether employees feel burdened or supported in their work and family roles depends on the demands and resources provided by the workplace. In a sample of 175 janitors at a large government hospital designated for treating COVID-19 patients in the national capital region of India, hypothesis testing results support that work calling is positively associated with both positive (job performance, subjective career success), and negative (work-family and family-work conflicts, burnout) outcomes. Further, job demands strengthen the relationship of work calling with work-family and family-work conflicts, and burnout, whereas, job resources augment the relationship between work calling and job performance, and subjective career success.

The Achilles Heel of Technology: How Does Technostress Affect University Students' Wellbeing and Technology-Enhanced Learning

This study investigated the effect of technostress on university students' wellbeing and technology-enhanced learning (TEL) through the stressor-strain-outcome model. Interviews were first used to contextualize and inform the development of the survey instrument. Then, survey data from 796 participants were collected and analyzed using partial least squares structural equation modeling. The findings indicate that technostress creators, including techno-complexity, techno-insecurity, and techno-uncertainty, were significantly associated with students' burnout in TEL, which in turn was negatively associated with their self-regulation, learning agency, and persistence in TEL. Group comparison analyses based on gender, academic disciplines, and willingness to join TEL show that the negative associations between burnout and self-regulation, learning agency, and persistence in TEL were significantly stronger for male students than female students. Similar findings were also found for students joining TEL willingly and unwillingly, with the latter being more strongly affected by burnout. In addition, the positive association between techno-complexity and burnout was greater for students from social sciences than those from engineering and natural sciences. The findings of this study can inform future implementation decisions of TEL in higher education and strategies to preserve university students' wellbeing.

Factors influencing green information technology adoption: A multi-level perspective in emerging economies context

Research in the area of green information technology (GIT) adoption is still sluggish and rather limited, particularly in the emerging economy context. To address this research void, this study investigates the determinants of GIT adoption in the workplace at the individual and organizational levels using an integrated framework that combines the “technology-organization-environment” (TOE) framework, the “technology readiness index” (TRI), and social psychology theories. Data is collected via paper-based survey from different organizations in the United Arab Emirates. Structural equation modelling was utilized to test the hypotheses that were presented in our model. The findings show that the integrated model has good explanatory power and confirms its robustness in predicting the GIT adoption. Organizational factors comprising management support, resource commitment, and quality of human resources have emerged as strong determinants of GIT adoption. Individual factors, on the contrary, demonstrated weak influence on GIT adoption. This study is one of the first empirical attempts that predict GIT adoption in the United Arab Emirates context. The paper concludes with several implications that can foster GIT adoption initiatives, particularly for emerging economies.

The Effect of Blockchain Operation Capabilities on Competitive Performance in Supply Chain Management

Owing to blockchain characteristics such as transparency, traceability, and disintermediation, blockchain technology has been widely employed in sustainable supply chain management. The COVID-19 pandemic has accelerated the use of blockchain technology in the supply chain. Although most companies have realized the importance of blockchain technology, they often lack understanding of how to plan, measure, cultivate, and improve their own blockchain operation capabilities. Academic research has insufficiently explored the connotations and internal structure of blockchain operation capabilities and does not provide a clear understanding of how to transform blockchain operation capabilities to produce effective performance. In this context, we proposed a concept of blockchain operation capabilities for first time. We took the perspectives of the resource-based view and sociomaterialism theory, based on IT capabilities, big data analysis capabilities, and existing blockchain supply chain research, and explored the relationship between blockchain operation capabilities and competitive performance. We then constructed a hierarchical model for blockchain operation capabilities. To test our proposed research model, we used an online survey to collect data from 1206 firm managers with blockchain technology supply chain experience. The results showed that blockchain operation capabilities has a positive impact on supply chain integration and competitive performance, while supply chain integration has a strong mediating effect on the blockchain operation capabilities and competitive performance relationship. Implications for research and practice are discussed.

Influence of work design and work status on part-time employees' inclusion and work engagement: some Australian evidence

Increasing numbers of people are working part-time (PT) hours, sometimes involuntarily (IPT). Australia has the fourth highest percentage of PT employees among Organization for Economic Co-operation and Development countries (26%). This study examines relationships between work design factors and workplace inclusion for PT employees and identifies how perceived inclusion and work engagement of PT and IPT employees compares with full-time (FT) employees. Data were collected using an online questionnaire distributed to employees in Australia. A part-time work design model was developed and tested across two independent samples using partial least squares. Results suggest that PT and IPT employees feel less included in the workplace compared to FT employees. PT employees also perceive their roles to be less task interdependent. A key finding was that PT employees' perceived inclusion was related to proactive behaviors, autonomy, and job crafting, in addition to hours worked. Implications for the management of PT employees are discussed.

Development and Validation of Industry 4.0 Readiness Scale — A Formative Model

The purpose of this paper is to develop a suitable formative scale for Industry 4.0 readiness assessment and validate in the Indian steel manufacturing sector. For this, a literature review was undertaken to identify the relevant dimensions and items to assess the Industry 4.0 readiness at micro-level. Further, a pilot study and content validity were undertaken with experts from the industry and academia to find out the relevance of the dimensions and their items. The index thus developed was administered among top-level managers from steel manufacturing organizations and the data was analyzed using PLS-SEM. The findings revealed the most important parameters — strategy & organization; business model; manufacturing & operations; supply chain; products & services along with 21 indicators to be significant in all cases to assess Industry 4.0 readiness.

Dark side of instant messaging: an empirical investigation from technology and society perspective

Purpose

The purpose of this study is to examine the dark side of instant messaging from the technological and societal perspectives.

Design/methodology/approach

With the help of literature review and different theories, a model has been developed conceptually. Later the model has been validated using statistical method. The authors have used 304 responses from the survey method, and this sample has been used to statistically validate the conceptual model.

Findings

This paper has been able to explicitly investigate and identify how different instant messaging platforms such as WhatsApp, WeChat in the form of electronic word of mouth (e-WOM) are contributing toward increase of mob lynching cases. The paper also highlights the important to have effective and enforceable regulation to regulate instant messaging services to the citizens.

Research limitations/implications

The findings cannot be generalized as the data is collected from India only. Moreover, the study is cross-sectional in nature. To get the comprehensive results, a longitudinal study needs to be conducted. This study considered seven constructs with one moderator. Having more predictors with other boundary conditions might have increased the explanative power of the model.

Practical implications

Instant messaging platforms such as WhatsApp, WeChat and so on are disseminating quick unverified information to the common people. This information sometimes is disseminated in inappropriate and exaggerated forms. This makes the instant messaging (WhatsApp) users' sentiment readily heated in some cases. They take such an action as mob lynching. This study determines the predictors of mob lynching along with the moderator impact of instant messaging in the society.

Originality/value

There are only a few studies those have explored the dark side of instant messaging. The proposed theoretical model is a unique model, which shows the predictors of mob lynching along with the negative consequences of the instant messaging (WhatsApp) in the society. From this perspective, this study can be considered as a unique study.

A Comparison of Regularized Maximum-Likelihood, Regularized 2-Stage Least Squares, and Maximum-Likelihood Estimation with Misspecified Models, Small Samples, and Weak Factor Structure

Several structural equation modeling estimation methods have recently been developed to alleviate problems associated with model misspecification. Two of the more popular such approaches are 2-stage least squares and regularization methods. Prior work examining the performance of these estimators has generally focused on problems with adequately sized samples and relatively large factor loadings. In contrast, relatively little research has been conducted comparing these estimation techniques with small samples and weak loadings, though both conditions are not uncommon in the multivariate modeling. The current simulation study focused on comparing these relatively new structural estimation methods for misspecified models (e.g., misspecified interactions and cross-loadings) with small samples and relatively weak factor loadings. Results indicated that regularized 2-stage least squares estimation performed better compared to the regularized structural equation modeling framework for small samples and with weak factor loadings. Implications and guidelines for applied researchers are presented.

Impact of Self-Regulated Learning on Entrepreneurial Opportunity Recognition and Academic Entrepreneurship Performance

The ratio of academic scientists to the labor force in Malaysia has increased. However, the contribution of academic scientists to commercialize research discoveries remains limited. Successful research commercialization or university technology transfer requires entrepreneurial effort that may involve skills beyond the traditional roles of academics. The ability to identify the commercial opportunity of research, i.e. entrepreneurial opportunity recognition, has been proven to be a critical skill for an academic entrepreneur. Earlier findings in this area would have been far more useful if the antecedents of entrepreneurial opportunity recognition were recognized. Although self-regulated learning has been inferred to as informal entrepreneurship education for academic entrepreneurs, there has been a lack of evidence on how it influences their academic entrepreneurship performance. This paper examined the characteristics of academic entrepreneurs and the key success factors, whether academics’ opportunity recognition ability is influenced by their self-regulated learning behavior. A quantitative research design was employed based on a case study of a technological university in Malaysia involving 115 academic entrepreneurs. Structural equation modeling analysis results revealed that academics’ opportunity recognition and social capital are the most important determinants of their academic entrepreneurship performance. The efficiency of the Technology Transfer Office and the ease of securing funding play influential roles too, but to a smaller extent. Most importantly, opportunity recognition is strengthened by self-regulated learning, through frequent deliberate practices in information and knowledge seeking that enable scientists to be more creative and innovative in translating research into marketable products and technology.

Value co-creation and social media at bottom of pyramid (BOP)

Purpose

The purpose of this study is to examine the value co-creation at bottom of the pyramid (BOP) using social media and to investigate how it is impacted by age, gender and peer influence.

Design/methodology/approach

A BOP approach provides sustainable profits by involving low-income producers and consumers by way of co-creating values. The focus of the BOP approach in the business environment in this study is to establish co-creation among the different stakeholders at the BOP level. With the help of a literature review and related theories, a conceptual model has been developed. The model has been tested statistically for validation using a survey by considering 314 usable respondents.

Findings

This study has focused on the impact of different issues such as age, gender and peer influence concerning the consumers at BOP segments involving in co-creation activities. The study finds that people at BOP segments emphasize more social media usage compared to the influence of peers in the context of co-creating values.

Research limitations/implications

Co-creation at BOP is a new approach. This study is unique research where it identifies the impact of gender, age and peer influence at the BOP level consumers for co-creation activities. The study also highlights the influence of social media on BOP consumers for co-creating values. The model so developed along with the findings of this study contribute to the overall body of knowledge in this area which has a wider theoretical and social implication.

Practical implications

The proposed model in this study can help organizations to understand the impact of age, gender, peer influence on value co-creation activities at BOP using social media. This study can help managers of the organizations involved in co-creation at BOP to formulate an appropriate strategy to get engaged with the customers at BOP. Finally, this study can motivate customers to value co-creating and engaging with organizations.

Originality/value

This study has primarily identified the impact of age, gender and peer influence for the consumers at BOP segments and is involved in different co-creation activities. The study has been mainly conducted in India, an emerging economy. None of such studies has been conducted in the emerging markets. Thus, this study claims to have possessed its uniqueness.

Empowerment and Employee Well-Being: A Mediation Analysis Study

This study examines the relationship between structural and psychological empowerment and its effects on employees’ psychological, physical, and social well-being. Despite the quantity of previously published works, empirical evidence about these relationships in the workplace is scarce. We developed a mediation model in which structural empowerment predicts employee well-being via psychological empowerment. We based our study on the EU-27 data from the 6th European Working Conditions Survey (EWCS). Data were collected from a questionnaire administered face-to-face to a random sample of employees and the self-employed representative of the working population in the European Union (number of valid responses in this study: 23,468). The effects of the relationships among the variables considered were evaluated using Partial Least Squares (PLS). Results indicate that structural empowerment was positively related to psychological empowerment, which was positively related to job satisfaction, work engagement, and social well-being. The expected relationships for work stress and physical well-being were not found.

Digital transformation and entrepreneurship process in SMEs of India: a moderating role of adoption of AI-CRM capability and strategic planning

Purpose

The purpose of this study is to identify the determinants that could impact corporate digital entrepreneurship for the small and medium enterprises (SMEs) of India. The study also investigates the moderating role that adopting artificial intelligence (AI)-customer relationship management (CRM) capability and strategic planning has in corporate digital entrepreneurship.

Design/methodology/approach

With the inputs from literature and theories, a model has been developed conceptually. The model has been validated by partial least squares structural equation modeling technique with consideration of 315 usable respondents. The effects of the moderators have also been investigated by multigroup analysis.

Findings

The study highlights that perceived usefulness, perceived ease of use and willingness to change significantly impact corporate digital entrepreneurship for the SMEs of India. The study also highlights that the two moderators have significant impacts on the relationships between corporate digital entrepreneurship and its predictors.

Research limitations/implications

This study has developed a unique model, which provides effective inputs to the entrepreneurs of SMEs of emerging economies. These inputs will help entrepreneurs to frame their policies to improve the existing traditional practices and processes that could be transformed into more digitalization for improving efficiency of their corporate digital entrepreneurial activities.

Originality/value

There are no studies which investigated how perceived usefulness, perceived ease of use and willingness to change could impact corporate digital entrepreneurship with the moderating effects of adoption of AI-CRM capability and strategic planning, as concerns SMEs of emerging economies. In this regard, this study is deemed to be a unique attempt.

How does business analytics contribute to organisational performance and business value? A resource-based view

Purpose

The purpose of this article is to identify how the organisations are able to improve their business value through acquisition of business analytics capabilities and by improving their performance.

Design/methodology/approach

With the help of literature survey, along with standard resource-based view framework, a conceptual model has been developed. These have been statistically tested by collecting the data using the survey questionnaire from 306 selected respondents from various service sector- and product-based organisations in India. To analyse the data we have used partial least square–based structural equation modelling.

Findings

The study highlights that by the help of data acquisition and tool acquisition as two vital components the acquisition of business analytics capabilities could improve the business value of the organisation by strengthening its organisational performance. The findings of this research also indicated that acquisition of business analytics capabilities has a significant influence on an organisation's business process performance and business decision, which in turn significantly influences organisational performance. And organisational performance eventually positively influences its business value. The model was found to provide an explanative power of 71%.

Research limitations/implications

The proposed research model can provide effective recommendations to the management of the organisations to realise the importance of acquisition of effective business analytics capabilities to eventually improve the business value of the organisation.

Originality/value

No specific studies, as yet, have analysed the effects of acquisition of business analytics capabilities for improving organisational performance mediated through business process performance and business decision. Therefore, this research has explored the distinctive effort to empirically validate this understanding.

Consumers’ Attitudes for Sustainable Mountain Cheese

The shift towards more sustainable consumptions and habits have had tangible impacts on food markets, which have accepted this challenge by offering a variety of certification systems to pull consumers aside. However, food purchasing choices are also guided by ethical, environmental and cultural motivations, functioning as drivers of food acquiring. This study aimed at assessing the influence of consumers’ attitudes in purchasing an Alpine cheese labelled with a food sustainability logo, as the mountain product brand, following a two-step approach. We estimated the consumers’ preferences for some sustainable labels by using Choice Experiments (CE), followed by a Partial Least Squares Structural Equation Modeling (PLS-SEM) approach to assess the influence of three attitudinal scales on the consumers’ behavior. The main results show the influence of green consumers’ values on the mountain product brand choice, and a strong relationship between green consumers’ and animal well-being values. In the conclusions, some policy indications are provided.

Dynamic academic networking concept and its links with English language skills and research productivity-non-Anglophone context

Although the Science of Team Science or SciTS has already provided substantial evidence for research collaboration positive links to scientific productivity, much less is known about such links with broadly defined academic networking, especially with regard to the dilemma about forms of academic networking that may help individual scholars in handling risks and dynamics inherent in academic connections. This study uses cross-disciplinary theoretical insights to conceptualize “dynamic academic networking” as a distinct collaboration-related phenomenon that is theoretically linked with research productivity on the one hand, and with English language skills on the other, especially in the context of non-Anglophone academic systems. The study combines survey-based data and Scopus-based data to test two main hypothesized connections while controlling for the potential effects of other factors, e.g. home faculty research connections and faculty-industry professional connections. The research results provide support for the structural model which is also interpreted in terms of dynamic networking being valid concept in relation to further development of SciTS.

Psychosocial variables and quality of life during the COVID-19 lockdown: a correlational study on a convenience sample of young Italians

BACKGROUND

In 2020, to limit the spread of Coronavirus (COVID-19), many countries, including Italy, have issued a lengthy quarantine period for the entire population. For this reason lifestyle has changed, bringing inevitable repercussions to the Quality of Life (QoL). The present study aims to identify which psychosocial variables predict behaviors capable of affecting the QoL during the lockdown period, potentially highlighting factors that might promote well-being and health in the Italian population during the epidemic.

METHODS

Between 27 April 2020 and 11 May 2020, we administered a web-survey to a sample of young Italian people (age M = 21.2; SD = 3.5; female = 57.7% of the sample). Employing variance-based structural equation modeling, we attempted to identify whether social connectedness, social support, and loneliness were variables predictive of the QoL of young Italians. We also sought to identify specific psychological factors, such as symbolic threat, realistic threat, and the threat from potentially contaminated objects, was correlated to COVID-19 fear and whether engaging in particular behaviors was likely to improve the QoL.

RESULTS

Our results suggest that social connectedness and loneliness are significant predictors of QoL, while social support did not have a significant effect on QoL. Furthermore, we observed that symbolic and realistic threats and the threat from potentially contaminated objects are significant and positive predictors of COVID-19 fear. Moreover, COVID-19 fear had significant and positive relationships with the carrying out of specific behaviors, such as creative activities during the isolation period and that this related to affirming individuals' country-specific identity. Finally, COVID-19 fear is a significant predictor of behavioral factors related to the adherence to public health advice in line with national guidance regarding the containment of COVID-19; this factor, however, did not correlate with QoL.

CONCLUSION

Our results suggest the importance of social context and psychological factors to help devise intervention strategies to improve the QoL during lockdown from epidemic events and, in particular, support the importance of promoting social communication and accurate information about the transmission of the virus.

Personality determinants of subjective executive function in older adults

Objectives: Problems in subjective executive function, the perceived cognitive control of mental processes for goal-directed behavior, may indicate cognitive impairment in older adulthood. Although, previous studies highlight the importance of personality on objective cognitive performance, no studies clarify their role with subjective executive function. To inform methods of early identification of cognitive impairment, this study explored how temperament and personality traits account for problems in subjective executive function.Method: The current project examined the associations between temperament and personality on subjective executive function across two samples of community-dwelling older adults (65+ years, n₁ = 25, n₂ = 50). Both studies measured subjective executive function (Behavioral Rating Inventory of Executive Function-Adult) and separately administered scales on temperament (Adult Temperament Questionnaire) and personality (Big Five Inventory).Results: Concerning temperament, older adults higher in negative affect endorsed greater difficulty in subjective executive function. Regarding personality traits, older adults with higher neuroticism and lower conscientiousness reported higher difficulty in subjective executive function.Conclusion: Findings enhance our understanding of subtle cognitive changes and may aid in early detection. In particular, distressful inclinations were associated with more reported problems in executive function whereas problem-solving tendencies were inversely related. Future work should examine if enhanced negativity coupled with analytical disengagement predicts problems in subjective executive function over time.

Adoption of artificial intelligence integrated CRM system: an empirical study of Indian organizations

Purpose

The purpose of this study is to explore the behavioral intention of the employees to adopt artificial intelligence (AI) integrated customer relationship management (CRM) system in Indian organizations.

Design/methodology/approach

To identify the factors impacting the behavioral intention of the employees to adopt AI integrated CRM system in Indian organizations helps of literature review and theories have been taken. Thereafter, some hypotheses have been formulated followed by the development of a theoretical model conceptually. The model has been tested statistically for validation using a survey by considering 308 usable respondents.

Findings

The results of this study show that perceived usefulness and perceived ease of use directly impact the behavioral intention of the employees to adopt an AI integrated CRM system in organizations. Also, these two exogenous factors impact the behavioral intention of the employees to adopt an AI integrated CRM system mediating through two intermediate variables such as utilitarian attitude (UTA) and hedonic attitude (HEA). The proposed model has achieved predictive power of 67%.

Research limitations/implications

By the help of the technology acceptance model and motivational theory, the predictors of behavioral intention to adopt AI integrated CRM systems in organizations were identified. The effectiveness of the model was strengthened by the consideration of two employee-centric attitudinal attributes such as UTA and HEA, which is claimed to have provided contributions to the extant literature. The proposed theoretical model claims a special theoretical contribution as no extant literature considered the effects of leadership support as a moderator for the adoption of an AI integrated CRM system in Indian organizations.

Practical implications

The model implies that the employees using AI integrated CRM system in organizations must be made aware of the usefulness of the system and the employees must not face any complexity to use the system. For this, the managers of the concerned organizations must create a conducive atmosphere congenial for the employees to use the AI integrated CRM system in the organizations.

Originality/value

Studies covering exploration of the adoption of AI integrated CRM systems in Indian organizations are found to be in a rudimentary stage and in that respect, this study claims to have possessed its uniqueness.