The industrial revolution 4.0 has pushed the banking sector to bring transparency in their financial transactions, especially in sending and receiving remittances. This study identifies the factors that affect the user's behaviour in the adaptability of blockchain technology (BT). The unified theory of acceptance and use of technology (UTAUT) with two additional factors comprising trust and transparency is used in the current study. The data of 240 respondents from the banks of Pakistan were tested through the PLS-SEM and fsQCA. The study results show that performance expectancy, effort expectancy, trust in BT, transparency in BT and the facilitating condition positively affect, while social influence negatively affects the behavioural intention towards BT. This study extends the application of the UTAUT model with two dimensions (e.g., trust and transparency) to identify the factors that predict bankers' intentions and their subsequent effect on the overall use of blockchain-based remittance services in Pakistani banks. In addition, we extend this study by combining symmetric (i.e. PLS-SEM) and asymmetric (i.e. fsQCA) techniques to generate significant implications for banks that provide blockchain-based remittance services. The asymmetric findings also provided bankers with two models (recipes) that have a greater potential for predicting bankers' use of blockchain-based remittance services.

The study aims to examine how social anxiety moderates the effect of media selection during initial online interactions for making new friends. The study recruited 147 individuals with high levels and another 147 individuals with low levels of social anxiety who measured their intention to use various types of media to meet new friends online. The results demonstrated that individuals with high (low) social anxiety tended to choose visually (non-visually) anonymous media for initial interactions. Interestingly, once engaged in visually anonymous media, individuals with high social anxiety experienced reduced discomfort, following the expected pattern of media richness theory (MRT) by gradually adopting richer media for improved communication. The findings hold valuable implications for MRT and offer practical insights for media designers.

Many studies have focused on the adoption of social commerce (s-commerce) by customers but not by businesses or by microbusinesses. Further, they have investigated this adoption from a researcher's perspective while using quantitative approaches. To fill this gap, the study sheds light on the success of Instagram for microbusinesses (IMB) in an Arab country and highlights the need for more investigation in order to understand this complex phenomenon. In this study, the authors use a qualitative approach to 27 microbusiness cases that adopted Instagram for s-commerce. They use technological innovation theories to successfully identify and classify the drivers and inhibitors of success under different contexts. Hence, they find that the success of IMB in Kuwait is contingent on addressing different technological, organizational, and environmental challenges. Further, they find that Instagram initiatives are still evolving and still need assistance from different stakeholders to overcome several hurdles. This study provides different recommendations that advance the theory and practice.

This is a cross-country study about intention to use mobile banking considering respondents from Brazil, South Korea, and the United States of America. The purpose of the paper is to analyze the role of an individual's computer self-efficacy ion mobile banking context. The authors employed the confirmatory factor analysis and the structural equation modeling to analyze the constructs and test the hypotheses of the study. They also relied on bootstrap confidence intervals to test the statistical significance of indirect effects. This study considers a comprehensive measure for computer self-efficacy (CSE), and a direct effect of this variable on two antecedents of behavioral intention to use mobile banking was found. CSE also had an indirect effect on the intention to use mobile banking. However, the effect of computer self-efficacy was not persistent among the different sub-samples considered in this study.

The influence of eWoM use for s-commerce in the context of Arab region remains unexplored. To bridge this gap, this study develops a model for eWoM use for s-commerce post adoption. This model link three antecedents-factors (trust towards other people, trust of internet/Instagram, and perceived risks) to eWoM use for s-commerce through the mediation of perceived enjoyment, perceived value, and customer satisfaction. The model is validated with a large sample of 843 Instagram users using LISREL tool. Research findings revealed that propensity to trust, trust of internet, perceived risk, and perceived value affect use of eWoM through the indirect effect of perceived enjoyment and satisfaction, while perceived value has no direct effect on eWoM. Customer satisfaction was a predominant predictor of eWoM use. The model has relevant contributions and implications for both research and practice.

Technology acceptance has been studied extensively within the IS discipline. Few, if any, have studied end users’ acceptance of newly implemented technologies within organisational contexts before end users start using the technology. Thus, by integrating variables from multiple relevant literature, this research attempts to answer this research question: will the introduction of a richer model for technology acceptance in a mandatory adoption environment, specifically in the pre-implementation phase, allow us to capture and account for the complexities of organisational technology implementations? The research model was tested in an organisational setting where a new content management system was being implemented. A total of 148 employees participated in this survey and partial least squares method was used to analyse the data to test the model. Implementation climate, valence, attitude, and perceived ease of use positively influence goal commitment to technology acceptance in a mandatory environment, and the model has displayed relatively large explanatory and predictive power. Theoretical and practical implications are discussed in the paper.

This paper investigates the influence of goal awareness and IT self-efficacy on job satisfaction based on the motivation sequence model, goal-setting theory, and social cognitive theory. Using a large-scale field survey of healthcare enterprise resource planning (ERP) system users (n = 352), this study investigates these relationships and provides important insight to healthcare ERP system researchers and managers. Both goal awareness and IT self-efficacy influence positive job satisfaction of healthcare ERP system users, as expected. Furthermore, the influence of goal awareness is stronger when the role of ERP systems is highly perceived for decision-making of the job. There was no interaction effect between goal awareness and IT self-efficacy in the post hoc analysis. The model is significantly supported by the empirical test with the large number of field data from healthcare ERP system users in the healthcare company. Practical and academic implications are discussed in the paper.

What critical factors contribute to knowledge workers’ effective information management and consequent job performance? This paper begins to address this important question by developing a conceptual definition of a new construct called personal information management effectiveness (PIME) and its constituent dimensions. Specifically, we theorize that PIME consists of two underlying dimensions: personal information management motivation (PIMM) and personal information management capability (PIMC). Synthesizing the extant literature on information management and information orientation, we further conceptualize PIMM as having four sub-dimensions of proactiveness, sharing, transparency, and formality, and PIMC as possessing five sub-dimensions of sensing, collecting, organizing, processing, and maintaining. Moreover, we develop a theoretical model that positions PIME as a mediator between two selected individual characteristics (IT self-efficacy and need-for-cognition) and job performance. New measures for PIME dimensions were developed and shown to have strong psychometric properties. The proposed model was empirically tested using data collected from 352 knowledge workers. As theorized, PIME was found to have significant effects on job performance (41%) and fully mediate the effects that the selected individual characteristics have on job performance. Responding to recent calls for advanced research on personal information management, the measures of PIMM and PIMC developed in this study have practical value as research and diagnostic tools and the findings provide useful insights to help organizations improve knowledge workers’ information management practices.

In this article, the different influences of online trust, such as integrity, benevolence, and ability, on customer loyalty to the website are tested and discussed with risk taker and risk avoider samples. Specifically, these different influences of trust on customer loyalty is tested with the mediating construct of intention to use the website using a large number of risk taker samples (n = 149) and risk avoider samples (n = 176). In the risk taker samples, the influence of online trust through website ability on customer loyalty is fully mediated by the intention to use the website. However, in the risk avoider samples, online trust beliefs such as ability and integrity as well as intention to use website have direct influences on customer loyalty. There is no relationship of benevolence in this model in both samples. The model explains 43% and 48% of R squares for each sample group. Theoretical and practical implications of these findings are discussed.

Social influence factors in sharing knowledge by e-mail are important issues in developing and understanding successful knowledge management systems and human–computer interaction. This article investigates important factors in shaping attitudes toward knowledge sharing by e-mail, based on social influence theory and self-determination theory. An empirical test of the proposed model using an online survey was conducted with a sample of undergraduate college students who use group e-mails for class assignments (n = 566). All social influence factors significantly influenced attitudes toward knowledge sharing by e-mail (R 2 = .57). Information systems researchers and practitioners will be able to more fully understand the roles of social influence factors in developing and designing knowledge management.

Instructors and trainers are increasingly using online education and technology-mediated learning (TML) to supplement or replace traditional approaches to classroom teaching. Because mandatory involvement requirements may not intrinsically motivate learners to achieve high quality learning, social factors with commitment, such as identification among group members, are especially important determinants of TML success. This article investigates an individual's social and self identities as important determinants in developing affective commitment (identification) and intrinsic motivation (perceived enjoyment) to share knowledge by email in the TML environment. Furthermore, given the recent emphasis on gender in system adoption and socio-linguistic literature, this study investigates gender as a moderating variable in the proposed model. An empirical test of the proposed model was conducted in the pilot test (n = 155) as well as the main test (n = 411). Social and self identities influence identification (R 2 = 0.42) and perceived enjoyment (R 2 = 0.52) of sharing knowledge by email. As expected, there are significant moderating effects of gender in these relationships in that male shows stronger effects of self identity while female shows stronger effects of social identity. The results of this study will help us understand the antecedents of effective knowledge sharing intervention in the TML environment, based on the integrated model of social identity theory, social influence theory, self determination theory and socio-linguistic literature.

Enterprise systems are gaining interest from both practitioners and researchers because of their potential linkages to organizational and individual user's productivity. Information systems (IS) researchers have been investigating the implementation and adoption issues of enterprise systems based on the organizational IS management perspectives. However, there are few papers that investigate enterprise systems management and implementation issues based on the informal control mechanisms, although the enterprise systems are control tools in the organization. Specifically, this paper applies Enterprise Resource Planning (ERP) adoption and implementation to the informal controls, such as cultural control and self-control, which can be viewed as a tacit perspective in knowledge management. Uncertainty avoidance and perceived enjoyment are used as informal controls in the ERP implementation in this paper, and are linked to the technology acceptance variables to investigate the relationships among them. Sociotechnical design, organizational control mechanism, knowledge management, and individual motivation are reviewed to support this potential linkage in the model. Field data via the online survey of ERP systems user group (n=101) are analyzed with partial least squares and supported our hypotheses. Uncertainty avoidance cultural control and intrinsic motivation as self-control are the important antecedents of ERP systems adoption. Furthermore, the result helps the systems manager understand that informal controls should be applied to the ERP systems implementation to enhance tacit and social aspects of IS management.