The application of hybrid Partial-Least-Square-Structural-Equation-Modeling-Artificial-Neural-Network in Information Systems (IS) research has surged over the years. Grounded on a systematic literature review from the list of premier and other promising IS journals, we found several concerns and issues. Hitherto, there are no guidelines for IS researchers for the hybrid PLS-SEM-ANN approach. We unlocked the potential of the hybrid PLS-SEM-ANN in providing better insight and understanding for IS researchers. In addition, best practices and recommendations for the adoption of PLS-SEM-ANN are discussed. The study contributes to advancing IS research by conducting a systematic literature review with Biblioshiny apps from the R studio’s Bibliometrix package and then proposing a comprehensive and robust approach to address the duality nature through the linear-nonlinear and compensatory-non-compensatory relationships. We proposed a guideline and suggested the minimum sample size, best practices and recommendations for reporting the results. We discuss the opportunities and prospects of the hybrid approach.

This paper builds a prediction model with four predictor variables and one dependent variable. The predictor variables are users' concerns about IoT privacy, users' concerns about IoT security, users' concerns about IoT awareness, and users' concerns about IoT device use. The dependent variable is users' IoT risk beliefs. The prediction model determines the influential predictor variables that predict the users' IoT risk beliefs. An instrument with five constructs was designed and administered to subjects working in various organizations in the USA. Collected data from 386 usable data were analyzed through multiple regression analysis. The analysis was used to answer the study's research question, which asked which of the four independent/predictor variables are influential in predicting the dependent variable. Results indicated that all four predictor variables were influential in predicting users' IoT risk beliefs, with IoT security concerns more influential than the other three. The findings, theoretical implications, practical implications, and future work are discussed.

The term metaverse is described as the next iteration of the Internet. Metaverse is a virtual platform that uses extended reality technologies, i.e. augmented reality, virtual reality, mixed reality, 3D graphics, and other emerging technologies to allow real-time interactions and experiences in ways that are not possible in the physical world. Companies have begun to notice the impact of the metaverse and how it may help maximize profits. The purpose of this paper is to offer perspectives on several important areas, i.e. marketing, tourism, manufacturing, operations management, education, the retailing industry, banking services, healthcare, and human resource management that are likely to be impacted by the adoption and use of a metaverse. Each includes an overview, opportunities, challenges, and a potential research agenda.

This study examines the intellectual and conceptual structure of the Journal of Computer Information Systems (JCIS) from 1995 to 2021. The evolution of the key topics and the performance of different actors like the key publications, authors, institutions, countries, etc., are reported using a hybrid methodology based upon scientometrics and topic modeling. The latent topics are discovered using structural topic models, and the temporal deviation in the topic prevalences from 1995 to 2021 is visualized. Further, this study reports the most prominent articles, themes, and collaboration patterns using co-citation network analysis, assessment of keywords co-occurrences, and exploration of coauthorship patterns. Finally, the disciplinary influences and knowledge exchange across disciplines are reported. The most significant findings from the study reveal that themes such as “Information Security and Privacy,” “Social Commerce and Social Networking Sites,” “Social Media, Web Search and User Satisfaction,” “Big Data Analytics and Cloud Computing, and “ICT for Economic Development and Empowerment” may become the hotspot for future research. The social exchange of knowledge reveals intra-disciplinarity, where JCIS gets most of the knowledge from the information systems domain itself. However, closest associations with the general business domain, computer science, marketing, organization science, and psychology for knowledge inflows make JCIS a net knowledge receiver.

The purpose of this study is to build on the ISP compliance literature by creating a prediction model that includes four predictor variables, namely, leadership, supportive organizational culture, engagement, and role values with one dependent variable – ISP compliance. We then seek to find out which of the predictor variables are most influential in predicting ISP compliance. An instrument with 5 constructs was administered electronically to a diverse set of employees in the U.S.A. ranging in work experience from new hires to CEOs and from many industries. Collected data were analyzed using multiple regression analysis. The results showed that all predictor variables in the model were significant. Supportive organizational culture followed by role values offered the largest explanatory power of the four predictor variables. We discuss the implications of the findings and offer suggestions for future research opportunities.

This paper builds a research model with four constructs, i.e., competencies, knowledge-oriented leadership, innovation, and performance within manufacturing companies to find out, through path modeling, 1) the effect of competencies on innovation, 2) the effect of knowledge-oriented leadership on innovation, and 3) the effect of innovation on performance. The survey instrument included four constructs – Competencies (COMP), Knowledge-oriented Leadership (LEAD), Innovation (INNO), and Performance (PERF). A marketing research company administered the instrument via computer-assisted telephone interviewing to subjects (N = 377) from 10 different high-tech manufacturing companies in Poland. Collected data were analyzed through partial least square structural equation modeling. The findings revealed that competencies and knowledge-oriented leadership positively and significantly influence innovation and innovation positively and significantly influence performance. Moreover, innovation was found to be a mediating variable between competencies and performance and knowledge-oriented leadership and performance. The theoretical and practical implications of the findings are discussed, followed by addressing the study’s limitations and future research directions.

The purpose of this paper was to first examine the reliability, validity, and strength of a unified model for information security policy compliance that includes eight constructs explaining information security policy compliance. Second, seven hypotheses were developed and tested based on the constructs in the model. An instrument with eight constructs was used to reflect the traditional survey statements method that measures current or retrospective behavior for the items of each construct. A sample of 187 faculty and staff from a mid-sized university in the USA participated in the study. Data were collected electronically and analyzed through SmartPLS 3.0, a partial least square structural equation modeling software. The results indicated strong support for the models’ reliability, validity, and strength. The results also showed support for five hypotheses. Two hypotheses were rejected. The findings with implications are discussed. Recommendations for future research are made.

The purpose of this study was to find out which one of the four selected predictor variables, i.e., leadership, trusting beliefs, role values, and information security policy awareness are most influential in predicting employees’ intention to comply with organizational information security policy. An instrument with five constructs was administered to subjects from a higher-education university in the USA. Collected data were methodically examined through multiple regression analysis. Results indicated that all four predictor variables were influential in predicting employees’ intention to comply with organizational information security policy requirements. Implications of the findings are discussed and recommendations for future research are made.

The purpose of this paper is to investigate leadership effectiveness in IT-centered organizations giving attention to gender and levels of management. A seven-point scale instrument that measures leadership effectiveness (leading organization, leading people, leading self) was used to collect data. The participants (N = 197) were top, middle, and lower-level managers that used IT for organizations’ strategic, tactical, and operational activities. Collected data were analyzed using MANOVA. Results indicated no overall significant group differences for the levels of management with respect to the three leadership effectiveness groups. However, there were overall significant group differences for gender and the interaction of gender and levels of management. In all three leadership effectiveness groups (leading organization, leading people, leading self), women leaders scored significantly higher than men leaders did. Women also significantly scored higher on all levels of management than men did with respect to the three leadership effectiveness groups. These findings are interpreted, and implications are discussed.

Based on a stream of research, this study identified four components of the e-learning courseware usability: fundamental, appearance, information presentation, and communication. The communication component was considered an expanded component of the e-learning courseware usability. A theoretical model was built and three hypotheses were developed to examine whether the communication component as an expanded component of the e-learning courseware usability significantly and positively contributed to the three components of the e-learning courseware usability (fundamental, appearance, and information presentation). An instrument was developed and administered to subjects taking various e-learning courses. The collected data were analyzed using a variance-based Structural Equation Modeling (SEM) package that uses Partial Least Square (PLS). Analyses of the results indicated a strong validated model supporting all stated hypotheses.

This paper replicates a previous study that used an active learning for knowledge construction in the e-learning model with three stages of underpinning, ownership, and engaging hypothesizing that the underpinning and ownership stages positively and significantly contribute to the engaging stage where the actual knowledge construction takes place. The findings of the present study have ensured the validity and the generalizability of the previous study results. Also, the findings reiterated the efficacy of the model for active learning for knowledge construction in e-learning. The paper concludes with implications and recommendations for future research.

The number of individuals engaging in social technologies for both personal and business reasons is staggering. This phenomenon is growing exponentially and fast becoming an integrated, cross platform experience which will impact every individual online. Social technologies used specifically by organizations for business support, the purposes and the benefits realized are addressed in this paper. Based on research results and a review of related literature, two issues are addressed: 1) How organizations can rethink their social strategy to gain competitive advantage; and 2) How social technologies education should be incorporated into the curriculum so students are prepared for life beyond graduation.

Factor analysis was used to empirically validate an active learning model that asserts knowledge construction in e-learning is achieved through active learning in three stages (underpinning, ownership, and engaging). Each stage is referred to as a component that is comprised of a number of elements or factors essential to the design of active learning in e-learning, leading to successful construction of knowledge. The findings of this study implied that the components in the model were empirically validated to be reliable and interpretable among their associated factors. Conclusions are drawn from the findings. Recommendations are made for further study.