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Despite the growing concern about security breaches and risks emerging from Shadow IT usage, a type of information security violation committed by organizational insiders, this phenomenon has received little scholarly attention. By integrating the dual-factor theory, unified theory of acceptance and use of technology (UTAUT) and social control theory, this research aims to examine facilitating and deterring factors of Shadow IT usage intention.

An online survey was performed to obtain data. As this study aims at investigating the behavior of organizational insiders, LinkedIn, an employment-oriented network site, was chosen as the main site to reach the potential respondents.

The results show that while performance expectancy, effort expectancy and subjective norms considerably impact intention to use Shadow IT, personal norms and sanctions-related factors exert no influence. Besides, an organizational factor of ethical work climate is found to significantly increase individual perceptions of informal controls and formal controls.

This work is the first attempt to extend the generalizability of the dual-factor theory and UTAUT model, which primarily has been utilized in the context of system usage, to the new context of information security. This study is also one of few studies that simultaneously take both organizational and individual factors into consideration and identify its impacts on user's behaviors in the information security context.

The purpose of this paper is to examine the resistance behavior of smart factories in small and medium-sized enterprises (SMEs). Drawing upon dual factor perspective, this study examines how two types of quality and perceived usefulness impact user resistance as enabling factors and how switching cost, skepticism, habit and inertia contribute to user resistance as inhibiting factors. Additionally, multi-group analysis is employed to compare small and medium enterprises.

Purposive sampling technique was employed to collect 460 Korean SMEs employees, consisting of 235 small enterprises and 225 medium enterprises. Partial least squares structural equation modeling was used for data analysis.

The results reveal that all three inhibiting factors, switching cost, skepticism and habit, are key antecedents of inertia. In small enterprises, skepticism has a greater impact on inertia, which in turn strongly affects resistance. Additionally, system quality is more crucial for small enterprises, whereas information quality holds more importance for medium enterprises in mitigating resistance. Moreover, when the implementation level of a smart factory is high, the effect of perceived usefulness on user resistance diminishes.

This study has revealed the importance of considering both enabling and inhibiting factors for the adoption of smart factory systems in the context of SMEs. Additionally, it has provided evidence that as the level of the smart factory system increases, the effect of perceived usefulness on user resistance decreases, thus making the transition to smart factory systems more challenging.

The study aims to drive conceptual clarity around resistance to information technology projects, integrating multiple facets of the phenomenon from earlier studies.

The study conducts a meta-synthesis of qualitative studies on resistance to technology projects; it analyzes those studies at a case-specific level, compares and contrasts emergent concepts against each other, and “translates” those to the rest of the studies. The study uses the seven-step meta-ethnography method by Noblit and Hare to reciprocally translate emergent concepts to construct the conceptual model.

Through meta-synthesis, the study derives a new conceptual model for resistance to information technology projects, exemplifying how the identified antecedents create user resistance and how the phenomenon progresses within organizations.

This study enriches the observations and conclusions of past individual studies while explicating various facets of the mechanisms that generate and progress technology resistance within organizations. It offers fresh insights into the equivocal nature of the phenomenon and the distinctive ways it progresses from individual to group level.

Many ambitious and costly digital transformation efforts do not succeed due to user resistance. Understanding the mechanisms that create user resistance can help organizations manage technology projects better, thereby reducing the technology assimilation gap and protecting returns on related investments.

There have been extensive studies on technology acceptance (enablers) within organizations, while those relating to technology inhibitors are somewhat limited. However, the symmetry of understanding between enablers and inhibitors is vital for organizations to assimilate promising technologies and transform their business models. This model uses a new lens of sensemaking theory to explain how the antecedents trigger perceived threats and resistance behavior; it highlights the nuances around the development of resistance within individuals and its progression to groups. The resultant model offers better generalizability in organizational contexts.

The study aims to present a systematic literature review (SLR) to understand the current status of research on social media usage among the bottom of the pyramid (BOP). The purpose of this study is to identify the research gaps in this domain and review future research agendas by using theory, context, characteristics and methods [TCCM] framework.

An SLR, keywords co-occurrence and TCCM analysis were used to analyse and synthesize insights from 44 studies gained from Web of Science and Scopus databases.

The findings suggest that the USA and India are popular contexts for studying BOP. The BOP population uses social media to gain utilitarian, hedonic and social values. Further, social media can help BOP explore “entrepreneurship” opportunities, value co-creation and bring innovations.

This study expands the intellectual boundaries of social media at BOP and suggests multidisciplinary research. Additionally, adopting novel theoretical lenses helped determine social media's impact on BOP.

Just as the Covid-19 pandemic has hit all areas of life, it has also hit the working life. Towards the end of the pandemic period, the concept of quiet quitting entered people's lives. The phenomenon of quiet quitting has been introduced as a brand new concept in the mainstream media and social media in general. The primary objective of this study is to investigate and define the emerging phenomenon of quiet quitting. Furthermore, this study aims to compare this novel phenomenon with other established theoretical approaches in the field of management.

This review study specifically examines the concept of quiet quitting, aiming to gain a deeper understanding of this phenomenon.

Contrary to popular belief, the phenomenon of “quiet quitting” is not a recent or trendy occurrence. Instead, it has persisted for numerous years and is intertwined with various theories such as motivation, commitment, engagement and social exchange theory.

This study provides employers, managers, HR practitioners with recommendations on how to address the employee's quiet quitting behavior.

This study represents a pioneering work that explores an uncharted territory, the phenomenon of quiet quitting. The authors demonstrated and relate the historical processes of management theories to the phenomenon of quiet quitting, which is a concept that appears to lack roots.

Video game streaming (VGS) is emerging as an extremely popular, highly interactive, inordinately subscribed and very dynamic form of digital media. Incorporated environmental elements, gratifications and user pre-existing attitudes in VGS, this paper presents the development of an extended model of uses and gratification theory (EUGT) for predicting users' behavior in novel technological context.

The proposed model was empirically tested in VGS context due to its popularity, interactivity and relevance. Data collected from 308 VGS users and structural equation modeling (SEM) was employed to assess the hypotheses. Multi-model comparison technique was used to assess the explanatory power of EUGT.

The findings confirmed three significant types elements in determining VGS viewers' engagement, including gratifications (e.g. involvement), environmental cues (e.g. medium appeal) and user predispositions (e.g. pre-existing attitudes). The results revealed that emerging technologies provide potential opportunities for new motives and gratifications, and highlighted the significant of pre-existing attitudes as a mediator in the gratification-uses link.

This study is one of its kind in tackling the criticism on UGT of considering media users too rational or active. The study achieved this objective by considering environmental impacts on user behavior which is largely ignored in recent UGT studies. Also, by incorporating users pre-existing attitudes into UGT framework, this study conceptualized and empirically verified the higher explanatory power of EUGT through a novel multi-modal approach in VGS. Compared to other rival models, EUGS provides a more robust explanation of users' behavior. The findings contribute to the literature of UGT, VGS and users' engagement.

This study investigates organizations' non-adoption intention towards the enterprise metaverse. The innovation resistance theory (IRT) is used as an underpinning theory to examine the impact of various risks on non-adoption intention towards the enterprise metaverse.

A total of 294 responses were collected to examine the proposed hypotheses. A structural equation modelling technique was used to investigate the hypotheses using SPSS AMOS and PROCESS MACRO.

The results of this study reveal that performance, security and psychological risks are significantly associated with non-adoption intention towards enterprise metaverse. Further, distrust significantly meditates the association between performance risk, social risk, technological dependence risk, security risk and psychological risk and non-adoption intention towards enterprise metaverse. Moreover, the results of moderated-mediation hypotheses indicate that the mediating effect of distrust on the association among performance risk, social risk, psychological risk and non-adoption intention towards enterprise metaverse is higher for individuals having high technostress compared to individuals having low technostress.

The study's findings will enrich the metaverse literature. Further, it provides a deeper understanding of enterprise metaverse adoption from a B2B perspective using the underpinnings of IRT. The study helps organizations understand the risks associated with the adoption of the enterprise metaverse.

This study aims to address customer focus as an important component of total quality management (TQM) and explore the key drivers of member satisfaction in tennis clubs via a novel theory-based member satisfaction index (MSI) model with high explanatory and predictive power. Furthermore, the study aims to investigate the relationship between satisfaction and behavioral intentions (willingness to stay; WTS) with consideration of the mediating effect of identification with the club.

This study uses variance-based partial least squares structural equation modeling (PLS-SEM) to estimate the MSI model, which was tested in a leading tennis club in Germany (n = 185).

The results reveal that club atmosphere, club facilities and the price/quality ratio of the membership fee are the most important drivers of member satisfaction in tennis clubs. Member satisfaction has a large influence on the WTS of tennis club members. Identification with the club, when included as a mediator in the model, increases the variance explained in WTS considerably.

The small sample limits the generalizability of findings, and further research is recommended.

The MSI model is a useful benchmark tool for club managers who want to quantify the satisfaction and WTS of their club members. In addition, because of the integrated formative measurement models, the PLS-SEM results show which indicators can be used to positively impact satisfaction with each of the service quality dimensions, overall member satisfaction and WTS. The most important of these results are discussed in an importance-performance map analysis.

The MSI model is a multi-attribute index model through which members' evaluations of various dimensions of service and value are derived through multivariable linear function with each dimension weighted according to its importance in one holistic model. The model shows the strong impact of satisfaction on WTS of sports club members and reveals that findings of previous research on the relationship between fan and spectator identification and loyalty are transferable to sports club members. The MSI represents a new contribution to the literature; it was applied here to tennis clubs but is also suitable for application to other sports clubs.

This paper aims to explore the effect of government support (short work allowances – SWA) on SME employees' job performance and employee motivation perceptions, during the COVID-19 pandemic in Turkey.

Survey data were collected from 2,781 employees working in SMEs registered to Small and Medium Enterprises Development Organization (SMEDO) in Turkey. The relationships were assessed through structural equation modeling with bootstrap estimation.

The results support the proposed framework illustrating the positive effect of government support on employees' perceived motivation and job performance. Findings indicate that employee motivation has exhibited a mediating effect between government support and job performance. Another important finding is that, contrary to the classical understanding of Herzberg's two-factor theory, SWA system was able to perform as a motivating factor during the pandemic by meeting the hygiene needs.

Since this is a cross-sectional research study, causal inferences cannot be derived from the research results.

There is a lack of empirical study on SME employees' perceptions on the government support during the pandemic, especially on the perspectives of emerging economies are infrequent. Turkey's case is unique in terms of providing insights on how perceived employee motivation is increased by the government supports (SWA) in Turkey, and how this motivation mediates the job performance perceptions. Besides, the impacts of government support are mostly studied at the firm or macro-levels, this study's unit of analysis is at individual level. Regarding the criticism from the motivation perspective of two-factor theory, COVID-19 context and its impact on the motivation needs have not been elaborated before. This article starts new discussions on how crisis contexts influence individual motivator factors.

Despite the efforts of governments and firms, consumer resistance toward digital innovations in the retail finance space continues to manifest rather visibly. Yet, the causes of consumer resistance toward innovations such as online procurement of financial products continue to remain under-explored. The present study attempts to address this gap by examining barriers that may constitute Indian consumers' resistance to buying financial products marketed digitally, using insurance as an exemplar. Precisely, the study measures five classic innovation resistance theory (IRT) barriers constituting consumers' resistance toward procuring digitally marketed insurance and examines the influence of consumers' demographic characteristics, measured through age and gender.

The conceptual model, resting on the theoretical proposition of IRT, was tested using data collected from 420 smartphone users. Given that, the data did not satisfy the multivariate assumptions of normality, homoscedasticity and linearity, artificial neural network approach was used for analysis. The analysis served as the basis for determining the relative importance of the five barriers in influencing consumer resistance.

The results indicated that the image barrier was the most influential barrier impacting consumer resistance, followed by usage, tradition, risk and value barriers. Moreover, as revealed by the values of correlations, the direction of influence was positive. Notably, the relationship of all barriers except tradition with consumer resistance was found to be nonlinear.

The study makes a novel contribution in two ways – one by extending IRT to a new area, i.e., resistance to buying financial products online, thereby further enhancing its applicability, and the other by exploring consumer resistance to e-procurement of life and nonlife insurance, which to the best of the authors' knowledge, has not been examined so far despite the established exigency.