Research Note - Two Competing Perspectives on Automatic Use: A Theoretical and Empirical Comparison

By Sung S. Kim, Naresh K. Malhotra, Sridhar Narasimhan. Information systems research, 2005

449 citations recorded by the source corpus.

Subfields: Applied Psychology, Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/d1f907fdce5cf8d7d460839660d4c7a0a91c03f3

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In Applied Psychology

In Information Systems and Management

In Sociology and Political Science

Citations in the corpus

Specifying Formative Constructs in Information Systems Research (2007, background): “…Intentions to Develop Partnership Bassellier & Benbasat (2004) Interdependence with Other Plants Gattiker and Goodhue (2005) Internal Stability Kim et al. (2005) Interorganizational Process Modularity Malhotra et al. (2005) Interpretation Systems for Interorganizational Information Malhotra…”
Exploring the influential factors in continuance usage of mobile social Apps: Satisfaction, habit, and customer value perspectives (2016, methodology): “Habit theory supports the habit–continuance intention relationship because prior habitual behaviors can produce favorable feelings toward the behavior, thereby increasing continuance intention (Kim and Malhotra, 2005).”
The influence of learning value on learning management system use (2016, background): “Prior research reported habit to be an important factor in predicting behavioral intention towards technology and its use (Kim et al., 2005; Lim et al., 2007; Venkatesh et al., 2012).”
Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology (2012, unknown): “Following the HAP rationale, greater usage experience implies more opportunities to strengthen the link between cues and behavior, which then facilitates habitualization (Ouellette and Wood 1998) and weakens the link between behavioral intention and use (Kim et al. 2005).”
Omnichannel Customer Behavior: Key Drivers of Technology Acceptance and Use and Their Effects on Purchase Intention (2016, methodology): “This concept, which was included as a new construct in the UTAUT2 model, has been considered a predictor of technology use in many studies (e.g., Kim et al., 2005; Kim and Malhotra, 2005; Limayem et al., 2007) and directly inﬂuences purchase intention (Venkatesh et al., 2012; Escobar-Rodríguez and…”
A Theoretical Integration of User Satisfaction and Technology Acceptance (2005, unknown): “2 고객 만족 기반 온라인 서비스 계속 사 용 정보시스템 연구자들은 온라인 서비스 계속 사용을 크게 습관 관점 [11,30,31]과 기 대충족이론 기반 고객 만족 관점 [8-10,32]에 서 연구했다.”
A generalised adoption model for services: A cross-country comparison of mobile health (m-health) (2016, background): “Referring to Kim et al. (2005), Venkatesh et al. (2012, p. 161) viewed habit as “the extent to which people tend to perform behaviors automatically because of learning.””
Shackled to the Status Quo: The Inhibiting Effects of Incumbent System Habit, Switching Costs, and Inertia on New System Acceptance (2012, methodology): “A review of technology acceptance research reveals only a handful of studies that have focused specifically on habit (e.g., Gefen 2003; Kim and Malhotra 2005; Kim et al. 2005; Limayem and Hirt 2003; Limayem et al. 2007; Wu and Kuo 2008).”