Anand Jeyaraj

A review of the predictors, linkages, and biases in IT innovation adoption research

We present a review and analysis of the rich body of research on the adoption and diffusion of IT-based innovations by individuals and organizations. Our review analyzes 48 empirical studies on individual and 51 studies on organizational IT adoption published between 1992 and 2003. In total, the sample contains 135 independent variables, eight dependent variables, and 505 relationships between independent and dependent variables. Furthermore, our sample includes both quantitative and qualitative studies. We were able to include qualitative studies because of a unique coding scheme, which can easily be replicated in other reviews. We use this sample to assess predictors, linkages, and biases in individual and organizational IT adoption research. The best predictors of individual IT adoption include Perceived Usefulness, Top Management Support, Computer Experience, Behavioral Intention, and User Support. The best predictors of IT adoption by organizations were Top Management Support, External Pressure, Professionalism of the IS Unit, and External Information Sources. At the level of independent variables, Top Management Support stands as the main linkage between individual and organizational IT adoption. But at an aggregate level, two collections of independent variables were good predictors of both individual and organizational IT adoption. These were innovation characteristics and organizational characteristics. Thus, we can consistently say that generic characteristics of the innovation and characteristics of the organization are strong predictors of IT adoption by both individuals and organizations. Based on an assessment of the predictors, linkages, and known biases, we prescribe 10 areas for further exploration.

Information System Success: Individual and Organizational Determinants

Despite considerable empirical research, results on the relationships among constructs related to information system (IS) success, as well as the determinants of IS success, are often inconsistent. A comprehensive understanding of IS success thus remains elusive. In an attempt to address this situation, which may partly be due to the exclusion of potentially important constructs from prior parsimonious models of IS success, we present and test a comprehensive theoretical model. This model explains interrelationships among four constructs representing the success of a specific IS (user satisfaction, system use, perceived usefulness, and system quality), and the relationships of these IS success constructs with four user-related constructs (user experience with ISs, user training in ISs, user attitude toward ISs, and user participation in the development of the specific IS) and two constructs representing the context (top-management support for ISs and facilitating conditions for ISs). To test the model, we first used meta-analysis to compute a correlation matrix for the constructs in the model based on 612 findings from 121 studies published between 1980 and 2004, and then used this correlation matrix as input for a LISREL analysis of the model. Overall, we found excellent support for the theoretical model. The results underline the importance of user-related and contextual attributes in IS success and raise questions about some commonly believed relationships.

Information technology impacts on firm performance: an extension of Kohli and Devaraj (2003)

Despite the importance of investing in information technology, research on business value of information technology (BVIT) shows contradictory results, raising questions about the reasons for divergence. Kohli and Devaraj (2003) provided valuable insights into this issue based on a meta-analysis of 66 BVIT studies. This paper extends Kohli and Devaraj by examining the influences on BVIT through a meta-analysis of 303 studies published between 1990 and 2013. We found that BVIT increases when the study does not consider IT investment, does not use profitability measure of value, and employs primary data sources, fewer IT-related antecedents, and larger sample size. Considerations of IT alignment, IT adoption and use, and interorganizational IT strengthen the relationship between IT investment on BVIT, whereas the focus on environmental theories dampens the same relationship. However, the use of productivity measures of value, the number of dependent variables, the economic region, the consideration of IT assets and IT infrastructure or capability, and the consideration of IT sophistication do not affect BVIT. Finally, BVIT increases over time with IT progress. Implications for future research and practice are discussed.

Initiation, Experimentation, Implementation of Innovations: The Case for Radio Frequency Identification Systems

This research primarily examines the stages hypothesis of the process of technology adoption by management personnel of organizations in the supply chain sector involving the Initiation, Experimentation, and Implementation stages. Further, this research examines key antecedents that may influence the various stages, including top management support, external pressure, and organization size. Using responses provided by top management representatives of 210 supply chain organizations on their organizations’ engagement with Radio Frequency Identification (RFID) technologies, this research finds that the stages hypothesis holds for RFID technologies. Specifically, organizations were seen to sequentially progress through the Initiation, Experimentation, and Implementation stages. Over 80% of organizations, who had reached the Implementation stage of adoption, had gone through the Initiation and Experimentation stages as well. Additionally, the data showed that the antecedents exerted varying levels of influences on the three stages. Top management support strongly influenced all three stages; external pressure influenced the Initiation and Implementation stages, and organizational size influenced Experimentation and Implementation stages. The paper discusses several implications for research and practice.

An empirical investigation of the effectiveness of systems modeling and verification tools

One reason system failure rates are not deterred by the latest best practices and tools may lie in how needs are (mis)interpreted by designers and users.

Organizational and institutional determinants of B2C adoption under shifting environments

This study examines the adoption of business-to-consumer (B2C) e-commerce by bricks-and-mortar companies comprising the Standard & Poors 500 (S&P 500) listings between 1992 and 2003. B2C represents a Type III information systems (IS) innovation that integrates IS with core business technologies. Extant studies on Type III innovations have examined organizational and institutional factors, solely or collectively, in explaining adoption, but not how their effects change under shifting environments over time. We develop an integrated model comprising organizational factors (i.e., espoused values and resources) and institutional factors (i.e., normative and mimetic pressures), as well as the moderating influence of shifting environments (i.e., early period and late period demarcated by changes in the environment). Using a piecewise event-history model specification, we examine the adoption of B2C innovations by 93 organizations over time. Our results show that both organizational and institutional factors influence B2C adoption; however, their effects varied with the environmental shifts. Specifically, senior IS executives influenced adoption in the early period whereas bandwagon mimetic pressures and business norms influenced adoption in the late period. The findings of our research demonstrate the importance of explicitly modeling environmental shifts in theorizing organizational adoption of innovations.

Content Acceptance Model and New Media Technologies

New Media technologies such as social networking and video sharing used today are aimed at individuals and seem to offer utilitarian and hedonic value to users. Unlike classical information technologies, New Media technologies rely on user-generated content and generally take users through the stages of trial, adoption, and use. Prior literature on technology acceptance provides an understanding of how users engage with information systems and the individual, technology, and environmental factors that influence adoption and use. However, little is known about the combination of trial, adoption, and use stages and how the content of information technologies impact behavior. A qualitative analysis of data gathered via in-depth semi-structured interviews with 80 individuals leads us to the Content Acceptance Model (CAM) for understanding trial, adoption, and use in the context of New Media technologies.

Enterprise Resource Planning Systems Implementation in a Global Subsidiary Organization: Lessons Learned

ABSTRACT This article describes the implementation of an enterprise resource planning (ERP) implemented by British Petroleum (BP) Worldwide, from the perspective of one of its subsidiary organizations, BP Singapore. The ERP solution, an internally developed system, was implemented globally by BP worldwide quite successfully from a global perspective, though not without challenges at the local level. This study examines the process of implementing a global ERP solution at the local subsidiaries, and the unique problems that may be encountered in force-fitting a global solution at the local level. Among the issues and problems experienced by the subsidiary are higher-than-anticipated costs, longer development times, lack of technical expertise, and compromises in business processes. The findings of the study could be helpful in formulating coping mechanisms in implementing global ERP solutions.

Differential effects on assimilation stages for supply chain management information systems

ABSTRACT The assimilation of Supply chain management information systems (SCM-ISs) is a complex phenomenon extending over multiple stages such as intention, adoption, internal integration, and external integration, which are influenced by various technological, organizational, inter-organizational, and environmental factors. This study explores the differential effects of various factors on assimilation stages. This study uses meta-analysis technique to quantitatively synthesize prior research data to determine the differential effects of factors on assimilation stages. In total, 400 findings on 40 relationships involving 11 factors and four stages of SCM-IS assimilation were used to conduct 29 Z-tests to determine the differential effects of factors on stages. Our findings show that organizations will benefit from attention to different factors at different stages of the assimilation process in efforts to incorporate SCM-ISs into their strategies and operations. Findings of the study are useful to managers as they navigate the process of assimilating SCM-ISs in their operations.

Education Dashboards for Enhanced Learning: A Singapore Experience

ABSTRACT Educators continue to utilize add-ons, extensions, or replacements to traditional Learning Management Systems (LMSs) to supplement capabilities and improve the classroom experience. This work resulted in the design and development of the Education Dashboards for Enhanced Learning (EDEL) template. The EDEL template enables faculty members to create dynamic web spaces called Knowledge Portals (KPortals). A semester-long introduction of KPortals proved to be positive and useful. Students tended to view the KPortal as a “go-to” webspace. The authors hope to refine the template in future studies and examine its usefulness in other countries.