A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology
Abstract
The acceptance of new information technologies by their intended users persists as an important issue for researchers and practitioners of information systems. Several models have been developed in the literature to facilitate understanding of the process by which new information technologies are adopted. This paper proposes a new construct that further illuminates the relationships explicit in the technology acceptance models and describes an operational measure for this construct that possesses desirable psychometric properties. The construct, personal innovativeness in the domain of information technology, is hypothesized to exhibit moderating effects on the antecedents as well as the consequences of individual perceptions about a new information technology. The construct was developed and validated in the context of the innovation represented by the World-Wide Web. Implications for theory and practice are discussed.
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Higher levels of Personal innovativeness in technology adoption will be positively related to HRM (AI) adoption.
“Research Proposition 9 (a-d): Higher levels of Personal innovativeness in technology adoption will be positively related to HRM (AI) a) initiation, b) adoption, c) routinisation, and d) extension.”
From AI-augmented HRM: Antecedents, assimilation and multilevel consequences (2023) · cites this paper as Agarwal and Prasad,1998
Higher levels of Personal innovativeness in technology adoption will be positively related to HRM (AI) extension.
“Research Proposition 9 (a-d): Higher levels of Personal innovativeness in technology adoption will be positively related to HRM (AI) a) initiation, b) adoption, c) routinisation, and d) extension.”
From AI-augmented HRM: Antecedents, assimilation and multilevel consequences (2023) · cites this paper as Agarwal and Prasad,1998
Higher levels of Personal innovativeness in technology adoption will be positively related to HRM (AI) initiation.
“Research Proposition 9 (a-d): Higher levels of Personal innovativeness in technology adoption will be positively related to HRM (AI) a) initiation, b) adoption, c) routinisation, and d) extension.”
From AI-augmented HRM: Antecedents, assimilation and multilevel consequences (2023) · cites this paper as Agarwal and Prasad,1998
Higher levels of Personal innovativeness in technology adoption will be positively related to HRM (AI) routinisation.
“Research Proposition 9 (a-d): Higher levels of Personal innovativeness in technology adoption will be positively related to HRM (AI) a) initiation, b) adoption, c) routinisation, and d) extension.”
From AI-augmented HRM: Antecedents, assimilation and multilevel consequences (2023) · cites this paper as Agarwal and Prasad,1998
TAM's extensive focus on technology to the neglect of social and psychological parameters limits its explanatory and predictive utilities.
“the extensive focus of TAM on technology to the neglect of social and psychological parameters (Agarwal & Prasad, 1998;Venkatesh & Bala, 2008) limits its explanatory and predictive utilities, and therefore demands its integration with other frameworks”
From Using T-O-E theoretical framework to study the adoption of ERP solution (2016) · cites this paper as Agarwal & Prasad, 1998
Personal innovativeness has been acknowledged as an important factor that impacts technology adoption and usage.
“Personal innovativeness (PI) has been acknowledged as important factor that impact technology adoption and usage (Agarwal & Prasad, 1998).”
From Students’ Acceptance of ChatGPT in Higher Education: An Extended Unified Theory of Acceptance and Use of Technology (2024) · cites this paper as Agarwal & Prasad, 1998
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Organizational Mechanisms for Enhancing User Innovation in Information Technology1
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MOBILE BANKING ADOPTION: APPLICATION OF DIFFUSION OF INNOVATION THEORYPreprint
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- Authors
- Agarwal, R., & Prasad, J.
- Affiliations
- Florida State University (US)
- University of Dayton (US)
- ORCID
- Agarwal, Ritu
- Venue
- Information Systems Research
- Published
- 1998-06
- Volume
- 9
- Issue
- 2
- Pages
- 204-215
- ISSN
- 1047-7047 (ISSN-L)
- 1526-5536
- OpenAlex
- W2162061662
- Cited by
- 3,575
- References
- 34
- Citations by year
- 2026: 213 · 2025: 256 · 2024: 262 · 2023: 231 · 2022: 234 · 2021: 233 · 2020: 206 · 2019: 146 · 2018: 173 · 2017: 128 · 2016: 143 · 2015: 178 · 2014: 165 · 2013: 161 · 2012: 149
- FWCI
- 29.69
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Information Systems Research (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Decision Sciences › Management Science and Operations Research › Innovation Diffusion and Forecasting
- Social Sciences › Gender Studies › Gender and Technology in Education
- Keywords
- personal innovativeness, information technology adoption, technology acceptance model, moderating effect, operational measurement, psychometric validation, World Wide Web, user perception, construct definition
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