Where To Go From Here? Thoughts on Future Directions for Research on Individual-Level Technology Adoption with a Focus on Decision Making

By V. Venkatesh. Decision Sciences, 2006

304 citations recorded by the source corpus.

This article recognizes the maturity of individual-level technology-adoption research and suggests three broad future research directions. They are: (i) business process change and process standards, (ii) supply-chain technologies, and (iii) services. Each of these areas is identified based on the topics likely of interest to the readers of the Decision Sciences by closely examining Decision Sciences' editorial mission and the recent research published in it. Within each of these three different broad topic areas, a few different specific directions are identified. The directions outlined here are not meant to be exhaustive but rather potential directions that can result in a theoretical contribution to individual-level technology-adoption research and the specific topic area.

Subfields: Information Systems and Management, Marketing, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/ffb2d5da409181c72a04abec60b3ab7378e7ff27

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Citations in the corpus

Job Characteristics and Job Satisfaction: Understanding the Role of Enterprise Resource (2010, background): “…the maturity of research on technology adoption, some have suggested that we may be reaching the theoretical limits of our ability to predict individual-level technology use and have called for research that moves beyond treating technology use as the ultimate dependent variable (Venkatesh 2006).”
Fundamentals of Information Studies: Understanding Information and Its Environment, Second Edition (2009, methodology): “We examine the service quality of eTax by analyzing key technology and service characteristics, an approach consistent with that taken by prior studies (e.g., DeLone & McLean, 2003; Rai et al., 2002; Venkatesh, 2006).”
Antecedents and consequences of e‐learning acceptance (2011, background): “(1989), is one of the most widely accepted and applied models in a variety of domains that include related IS and IT acceptance/adoption studies (Chau, 1996; Venkatesh, 2006).”
A Framework and Guidelines for Context-Specific Theorizing in Information Systems Research (2014, background): “6 Further, because the constructs in extant technology adoption models are primarily technology-centric perceptions (Venkatesh 2006), a general model may not fully capture the characteristics of individuals and usage context.”
Modeling Citizen Satisfaction with Mandatory Adoption of an E-Government Technology (2010, methodology): “Prior research on services suggests that characteristics associated with the service-delivery channel are drivers of the use of self-service technologies (Meuter et al., 2005; Venkatesh, 2006).”
Bridging the Qualitative-Quantitative Divide: Guidelines for Conducting Mixed Methods Research in Information Systems (2013, background): “…attention in the social and behavioral sciences recently (for a review, see Tashakkori and Creswell 2008), and we suggest that IS research can benefit from this research approach, especially with a broadening base of interdisciplinary research and calls for more of the same (see Venkatesh 2006).”
Adoption and use of AI tools: a research agenda grounded in UTAUT (2021, background): “…proposed research agendas for the topic of individual-level adoption and use of technology both in general (Venkatesh et al. 2007, 2016a, b, c; Venkatesh and Bala 2008; Zhang and Venkatesh 2018) and in specific contexts including those related to operations management (e.g., Venkatesh 2006, 2013).”
Technology Acceptance Model 3 and a Research Agenda on Interventions (2008, methodology): “This is consistent with Venkatesh (2006) who argued that in order to be relevant to organizational decision-making processes, individual-level IT adoption research should focus on phenomena that are pertinent to decision making (e.g., knowledge sharing, business process outsourcing) and ITs that…”
Preparing Workplaces for Digital Transformation: An Integrative Review and Framework of Multi-Level Factors (2021, background): “The impact of technology on employee-and work-related outcomes has been identiﬁed as an important direction for research (Venkatesh, 2006; Venkatesh and Bala, 2008), although until recently, few frameworks have been developed or tested.”
The Effect of Perceived Novelty on the Adoption of Information Technology Innovations: A Risk/Reward Perspective (2010, background): “One such opportunity includes a focus on services, specifically emerging IT innovations that provide users with alternative technology channels (Venkatesh, 2006) (e.g., radio frequency identification [RFID] as an alternative to bar codes).”