Intention to use and Adoption of IT Innovations in Organizations: A Meta-Analytic Examination of the Moderating Role of Innovation Type and Socio-Economic Context

Present paper conducts a meta-analysis of the innovation features that influence the intention to use and adoption of information technology (IT) innovation in the organizations. Previous studies that assessed the influence of innovation features on intention to use and adoption have found inconsistent results and thus created confusion among academicians and practitioners. Present study consolidates the findings of previous studies using meta-analysis to reveal the key factors behind organizations’ intention to use and adoption of IT innovations. The study takes a step further by also determining the moderating role of innovation type (product vs. service innovations) and socio-economic context (developing vs. developed countries) on the relationships of innovation features with intention to use and adoption of IT innovations. It also provides multiple insightful theoretical and practical implications

Pursuing Digital Learning Platform Success: A Meta-Analytic Investigation of User and Cultural Contingencies

Digital learning platforms (DLPs) have emerged as highly effective tools to meet contemporary organizations’ learning and knowledge-creation needs. Advanced information and communication technologies (ICT) embedded in these platforms create mobile learning workspaces that deliver ubiquitous yet targeted learning experiences. Scholars have shown a keen interest in assessing the success of DLPs, but most studies have examined only a specific aspect of DLP success. Current findings also show inconsistencies and contradictions that confound our understanding of this important topic. As a result, an integrated and accurate understanding of DLP success is missing. In this paper, we adopt rigorous meta-analytic procedures to consolidate extant findings and reconcile inconsistencies in our understanding of DLP success. Additionally, we extend our meta-analyses to investigate the contingency effects of two moderating variables—user context and cultural context. The results provide a more comprehensive and accurate understanding of DLP success. Our study contributes to the literature by extending the theory on DLPs and information systems (IS) success and by providing insightful recommendations for practitioners

IS Success at Organizational Level: A Meta-analysis

Since Delone and McLean developed the model for measuring Information Systems Success in 1992, there had been wide acceptance of this model in various contexts. Given the considerable attention gained by the model, this study reviews 47 empirical studies performed on organizational level by using the technique of meta-analysis. By consolidating the results from these studies, this research provides an integrated view of the relationships of the model. In addition to this, the study analyzes the moderating effect of the user type on the nature of relationships. This research has both theoretical and practical implications

E-governance using mobile applications: A case study of India during the COVID-19 pandemic

Healthcare initiatives backed by electronic-governance (e-governance) principles have contributed well to the extant literature and practice. Governments and healthcare systems across the world were taken aback by the swamping impact of the COVID-19 pandemic. However, they reacted quickly by developing contact-tracing mobile applications (apps) for creating awareness, providing information about various healthcare initiatives, and helping citizens to use the required information in case of emergency. The major challenge was to develop such e-governance interventions in a short time and ensure their quick adoption among the masses. Hence, it is worthwhile to investigate the factors leading to the adoption of such e-governance initiatives, especially in the context of a widespread pandemic situation. The present study is an attempt to analyze the factors driving the intention to use contact tracing mobile apps launched by governments globally during the COVID-19 pandemic. We have conducted the study in the context of India, where the government launched a community-driven contact tracing mobile app for its citizens during the COVID-19 pandemic in April 2020. The study adopted an empirical approach to test how epistemic value, convenience value, conditional value, functional value, and privacy concerns influenced the intention to use this approach. The study found that intention to use such an app was positively influenced by functional value, which in turn was positively influenced by convenience and conditional values. It suggests that the convenience of using the app, perceived seriousness of the pandemic (i.e., conditional value), and utilitarian benefits (i.e., functional value) of the contact-tracing mobile app enhanced its acceptance. However, its novelty (i.e., epistemic value) and privacy concerns are not significant predictors of intention to use. The study recommends that the government should place more emphasis on improving the functional value which is driven by convenience and context-specific features to push the use of an e-governance initiative during the crisis

Impact of Knowledge Management Capabilities on Knowledge Management Effectiveness in Indian Organizations

Executive Summary Since the existence of organization, organizational knowledge has been managed more informally than in formal ways. This was done through a knowledge supporting culture, by trusting and managing the employees. This was possible due to the small size of the organizations and co-location of employees. However, increasing global competition and growth of marketplaces have created a competitive incentive among many companies to consolidate and reconcile their knowledge assets as a means of creating value that is sustainable over time. In such a scenario, a need was felt to formally manage knowledge by developing capabilities. The objective of this research article is to explore the knowledge management (KM) capabilities in large Indian organizations and their impact on knowledge effectiveness. It is based on the premise that together the perspectives of KM infrastructure and KM processes provide a useful theoretical foundation for defining important aspects of knowledge effectiveness in organizations. Knowledge management capabilities are explored with respect to infrastructure, structure, and culture. Knowledge management processes comprise creation/acquisition, storage, dissemination, and application. This research has found evidence that large Indian organizations have started realizing the importance of managing knowledge as a strategic asset. However, the approach is different in different organizations. Some organizations rely more on creating knowledge infrastructure capabilities through culture and structure while others equally emphasize the need of process approach to manage both tacit and explicit knowledge within the organization. KM effectiveness is defined in terms of improved communication, enhanced collaboration, improved employee skills, better decision-making, and improved productivity. Data collected from 156 organizations was subject to structural equation modelling. The results established that both infrastructure capabilities and process capabilities play an important role in improving KM effectiveness

A Meta-Analysis of Funder’s intention on Crowdfunding Platforms

Crowdfunding, a technology-based alternative for raising capital, has attracted many researchers to investigate the factors influencing the behavioral intention of the funders and fund-seekers. However, empirical results reported by the existing studies have been fragmented so far. Prior studies have failed to provide a clear understanding of the moderating role of national culture. This meta-analytic study presents and tests a conceptual framework in the context of crowdfunding investigates the key factors influencing the funder’s intention as well as studies the moderating role of Hofstede’s four cultural dimensions. Drawing on data from 50 articles (51 studies) representing the sample size of around 19700 funders or projects, our results highlight that all the nine hypothesized relationships are significant and positive. The moderator results also indicate that all four cultural dimensions significantly moderate most of the hypothesized relationships. Finally, the implications for future research and practice as well as future recommendations are discussed