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This paper investigates the moderating role of multitasking computer self-efficacy on the relationship between social media affordances and social media overload as well as its moderation between social media overload and social media fatigue.

The authors hypothesize that social media affordances will have a positive impact on social media overload (i.e. information and communication overload). They also hypothesize that social media overload will affect social media fatigue. In addition, they hypothesize that multitasking computer self-efficacy will attenuate the effect of social media affordances on both information overload and communication overload. Similarly, they also hypothesize that multitasking computer self-efficacy will attenuate the effects of both information overload and communication overload on fatigue. The authors test this model by collecting two-wave data from 220 professionals using PLS techniques.

Social media affordances have significant impacts on information overload, but not on communication overload. In turn, information overload and communication overload significantly affect social media fatigue. Multitasking computer self-efficacy was found to attenuate the effect of social media affordances on both information overload and communication overload. Furthermore, the study results suggest that multitasking computer self-efficacy attenuates the effect of information overload and reinforces the effect of communication overload on social media fatigue.

Most prior literature focused on students rather than on professionals. There is a lack of research that investigates how the affordances of social media relate to social media overload and fatigue. Furthermore, research that investigates mitigating mechanisms of social media fatigue has been rare. This paper fills these important research gaps.

With the expansion of artificial intelligence (AI) technology in everyday life, it is critical to discuss how and why consumers respond in certain ways to AI agents. However, few studies have examined the mechanisms underlying users’ responses to these agents. This study aims to identify such mechanisms and discuss how users form loyalty toward AI agents. Specifically, this study addresses interactivity with AI voice assistants as a key determinant of user loyalty, presenting user perceptions of the human-likeness of AI voice assistants and communication self-efficacy as sequential mediators.

We investigate the effects of human-likeness and communication self-efficacy on the relationship between interactivity and loyalty to AI voice assistants by developing a sequential mediation model. To estimate the empirical model, data were collected through an online survey with 330 respondents.

The results indicate that interactivity influences loyalty directly and positively. In addition, interactivity affects loyalty indirectly sequentially through human-likeness and communication self-efficacy.

By uncovering the psychological mechanisms underlying users’ loyalty to AI voice assistants, this study provides new academic and managerial insights that have not been clearly identified in the current literature.

The purpose of this study is to examine the factors that influence Malaysian Small and Medium Enterprises (SMEs) to adopt mobile commerce (m-commerce) by integrating the constructs of Technology Acceptance Model 3 (TAM 3), Universal Theory of Acceptance and Use of Technology 2 and Technology-Organization-Environment model. Though numerous m-commerce adoption (MCA) studies have been conducted, lesser attention is paid to how hedonic motivation (HM) can influence organizational users such as SMEs. This study bridges the gap by integrating the three models to provide a new lens to guide SMEs.

To examine the factors that influence the adoption of m-commerce, the researchers collected data from SMEs in Malaysia using an online survey. The sample size of the participants was determined through the available list provided by SME Corp Malaysia. The researchers also used Krejcie and Morgan’s sample size and G * Power techniques to determine that the sample size was appropriate. The data collected were analyzed using partial least square-structural equation modeling.

The findings of this study reveal that technological factors (computer self-efficacy [CSE], result demonstrability [RD] and computer anxiety [CA]) positively and significantly influence MCA. Likewise, the organizational/environmental factors (m-commerce knowledge, pressure from trading partners and pressure from competitors) positively and significantly influence MCA. The moderating influence of HM was also achieved on the relationship between CSE and RD. However, the proposed hedonic moderating relationship between CA and the adoption of m-commerce is not significant.

This study integrates three models to explain the adoption of m-commerce among SMEs in Malaysia and tested the moderating influence of HM. The results obtained better explain the decision by the SMEs to use m-commerce.

The study critically considered how m-commerce can be adopted by SMEs in Malaysia, which previous studies have largely ignored. Considering this, the study, therefore, advances a new relationship by integrating Technology-organization-environment model with TAM 3 and the moderating influence of HM to explain MCA among SMEs. This paper is one of the few research studies to test the moderating influence of HM in this regard.

Drawing on the stress and coping theory, conservation of resources (COR) theory and social role theory, this study aims to investigate the impact of social media overload on knowledge withholding behavior and examine the gender differences in social media overload, engendering knowledge withholding.

By hiring a professional online survey company, this study collected valid responses from 325 general social media users. The structural equation modeling (SEM) technique, bootstrapping method and multi-group analysis were used to test the proposed theoretical model.

The empirical results reveal that three types of social media overload positively affect users' knowledge withholding behavior and that emotional exhaustion significantly mediates the above relationships. The multi-group analysis demonstrates that gender differences do exist in the decision-making process of knowledge withholding; for example, females are more likely than males to become emotionally exhausted from social media overload, while males are more likely than females to engage in knowledge withholding behavior in the case of emotional exhaustion.

This study contributes to the existing body of knowledge by examining the relationship between social media overload and knowledge withholding, verifying the mediating role of emotional exhaustion as the key mechanism linking them, and narrowing the research gap of lacking gender differences research in knowledge withholding literature.

This paper aims to explore university students' multitasking behavior in online classrooms and their influence on academic performance. Also, the study examined students' opinions.

A total of 302 university students fulfilled an online survey. Ten questions were focused on demographic information, five items evaluated online class behavior of students, 9 items evaluated self-efficacy and four items measured academic performance.

Multitasking behavior was found to negatively influence self-efficacy of −0.332, whereas self-efficacy showed a positive influence of 0.325 on academic performance. Cronbach's alpha and average variance extracted values were 0.780 and 0.527 (multitasking behavior), 0.875 and 0.503 (self-efficacy), 0.781 and 0.601 (academic performance). Outcomes of the bootstrapping test showed that the path coefficients are significant.

The research findings may help university managers understand undergraduates’ online and face-to-face behavior and strategies to improve the behavior to ensure the best academic outcomes. The novelty is based on using the partial least square structural equation modeling technique.

Recent studies have suggested that the workplace fear of missing out (Workplace FoMO) harms employees' health and performance. Thus, the present study examines the impact of workplace FoMO and organisational support (OSP) on innovative work performance (IP) using dual theoretical lenses based on the conservation of resource theory (COR) and self-determination theory (SDT). Furthermore, this study investigates the mediating role of enterprise social media (ESM) use and psychological well-being (PW).

The present study uses a rigorous methodology using structural equation modelling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA). The author has conducted a cross-sectional survey to collect data on working professionals in India’s service industries (i.e. IT & ITeS; information technology enables services). Moreover, SEM was employed to analyse the data based on (n = 240) responses. Furthermore, fsQCA was used to reveal configurational models.

The SEM results revealed that workplace FoMO harms PW and stimulates ESM use. OSP has a positive impact on ESM use and PW. Furthermore, ESM use is positively associated with PW and enriches IP. The ESM use partially and significantly mediates (a) workplace FoMO and PW, and (b) OSP and PW. The fsQCA results revealed that two configurational models, (a) “ESM” and (b) “OSP*PW”, are vital in enhancing IP.

The present study utilises symmetric and asymmetric modelling approaches considering a separate prediction-oriented pioneer method. This study provides a novel perspective and adds new insights to the literature on ESM use, workplace FoMO and employee-related outcomes.

Most students are considered digital natives and are presumably equipped to handle extensive technology use. However, online learning turns students into involuntary telecommuters when it is the primary modality. The prevailing trends of online learning, digital socialization, telehealth and other online services, combined with remote work has increased students' reliance on information and communications technologies (ICTs) for all purposes, which may be overwhelming. We examine how technology overload strains the ability of online learning to meet students' basic psychological needs (BPNs), which can decrease positive outcomes such as academic enjoyment and personal performance.

Data was collected via an online survey of 542 university students and the proposed model was tested using partial least squares (PLS) regression.

We find that technology overload can diminish the positive relationship between online learning intensity and BPNs satisfaction, which is alarming because BPNs satisfaction is critical to students' positive experiences. Moreover, we find that technology overload and lack of technology experience can directly drive BPNs frustration, which decreases positive outcomes and increases academic anxiety.

We extend a theoretical framework for telecommuting to examine online learning. Additionally, we consider the role of technology overload and experience both as drivers and as moderators of students' BPNs satisfaction and frustration in online learning. Our results provide valuable insights that can inform efforts to rebalance the deployment of ICTs to facilitate online educational experiences.

The impact of technology on the health and well-being of workers has been a topic of interest since computers and computerized technology were widely introduced in the 1980s. Of recent concern is the impact of rapid technological advances on individuals’ psychological well-being, especially due to advancements in mobile technology that have increased many workers’ accessibility and expected productivity. In this chapter we focus on the associations between occupational stress and technology, especially behavioral and psychological reactions. We discuss some key facilitators and barriers associated with users’ acceptance of and engagement with information and communication technology. We conclude with recommendations for ongoing research on managing occupational health and well-being in conjunction with technological advancements.

The purpose of this paper is to build a comprehensive structural model to demonstrate the interrelationships of factors influencing social networking service (SNS) fatigue and to identify the varying degrees of influence.

A total of 14 factors influencing SNS fatigue are identified through an extensive literature review. Interpretive structural modeling (ISM) and Matrice d'Impacts Croisés Multiplication Appliqué à un Classement (MICMAC) analysis are employed to build a hierarchical model and classify these factors into four clusters.

The results revealed that ubiquitous connectivity and immediacy of feedback are key factors contributing to SNS fatigue through their strong influence on other factors. Privacy concern, impression management concern and work–life conflict lead directly to SNS fatigue. In contrast, system feature overload and system pace of change are relatively insignificant in generating SNS fatigue.

This study represents an initial step toward comprehensively understanding the interrelationships among the factors leading to SNS fatigue and reveals how determinants of SNS fatigue are hierarchically organized, thus extending existing research on SNS fatigue. It also provides logical consistency in the ISM-based model for SNS fatigue by grouping identified factors into dependent and independent categories. Moreover, it extends the applicability of the integration of the ISM and MICMAC approaches to the phenomenon of SNS fatigue.

Despite the ever-increasing importance of cultivating information, communication and technology literacy skills among college students, they have yet to be related to comprehensive measuring instruments. A glance at the empirical literature reveals that most pertinent scales have been confined to measuring Internet literacy skills, whereas educators in the 21st century advocate an inclusive conceptualization of ICT literacy. Such a comprehensive conceptualization embodies technical, critical, cognitive and emotional competencies. Additionally, more empirical evidence is needed to indicate gaps in testing measurement invariance of ICT literacy scales across genders or cultures. To that end, the current study aims to adapt and cross-validate an ICT literacy self-efficacy scale across gender by testing the measurement invariance using a multiple-sampling confirmatory factor analysis (MCFA). Furthermore, the current study aims to verify the ICT literacy self-efficacy scale's psychometric properties to establish its construct validity and understand the scale's underlying factorial structure.

The current study has administered the scale to a cross-sectional sample of 3560 undergraduate students enrolled in six universities in the Sultanate of Oman.

The results have revealed that the ICT literacy self-efficacy exhibits satisfactory indices of construct validity. On the other hand, the results of MCFA demonstrate that the differences in the goodness of fit indices between the nested models and the baseline model were below the cut-off criterion of 0.01, indicating invariance. Therefore, the scale has proved to be amenable for comparing genders on their ICT literacy self-efficacy using an one-way multivariate analysis of variance.

The study has several implications for research and pedagogical practices. The study provides empirical evidence for establishing ICT literacy self-efficacy as a distinct high-domain construct of task-specific self-efficacy beliefs.