Moving Beyond Intentions and Toward the Theory of Trying: Effects of Work Environment and Gender on Post-Adoption Information Technology Use

By Manju K. Ahuja, Jason Bennett Thatcher. MIS Q., 2005

914 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/67af4882920579071e7da9ebf9344f0b436066bc

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Citations in the corpus

Technology Acceptance Model 3 and a Research Agenda on Interventions (2008, background): “Further, employees may perceive that the complexity of a new system will add quantitative and qualitative overload to their jobs and reduce autonomy and control over their work environment (Ahuja & Thatcher, 2005).”
Do you get tired of socializing? An empirical explanation of discontinuous usage behaviour in social network services (2016, background): “For example, gender has been found to play an important role in information technology acceptance and postadoption studies (Venkatesh and Morris 2000, Ahuja and Thatcher 2005).”
The impact of supplier innovativeness, information sharing and strategic sourcing on improving supply chain agility: Global supply chain perspective (2017, methodology): “We performed bootstrapping procedures following (Ahuja and Thatcher, 2005; Chin, 1998).”
Technology acceptance among pre-service teachers: Does gender matter? (2015, neutral): “Drawing upon the TRA, Ahuja and Thatcher (2005) examined the influence of the work environment and gender on trying to innovate with information technology.”
The influence of tourism website on tourists' behavior to determine destination selection: : A case study of creative economy in Korea (2015, background): “PLS regression analysis has several advantages including small sample size, and few assumptions about measurement scale and normal distribution (Ahuja and Thatcher, 2005).”
The performance effects of coaching: a multilevel analysis using hierarchical linear modeling (2009, methodology): “However, the significance of this difference can be statistically assessed by calculating a t-statistic for comparing the difference in coefficients across models (Ahuja and Thatcher 2005).”
The Next Generation of Research on IS Use: A Theoretical Framework of Delegation to and from Agentic IS Artifacts (2021, background): “…scholars have applied this lens to understand how humans use IS artifacts to achieve goals across a wide variety of organizational contexts (e.g., Ahuja and Thatcher 2005; Wang et al. 2013), consumer contexts (e.g., Goh et al. 2013; Kwon et al. 2016) and societal contexts (e.g., Venkatesh et al.…”
Shackled to the Status Quo: The Inhibiting Effects of Incumbent System Habit, Switching Costs, and Inertia on New System Acceptance (2012, neutral): “We also ran a model substituting intention to use the new system with intention to try the new system (see Ahuja and Thatcher 2005), indicating that actual use of Google Docs on future group projects might not be entirely under the individual’s control, and results were comparable (inertia …”
An Enhanced Fear Appeal Rhetorical Framework: Leveraging Threats to the Human Asset Through Sanctioning Rhetoric (2015, neutral): “(2000) and Ahuja and Thatcher (2005). The results of the t-test multigroup analysis indicated no significant difference in the path coefficients, suggesting that while the coefficient values of three of the four conventional fear appeal elements were technically of lesser value, when we accounted fo”
IT Road Warriors: Balancing Work--Family Conflict, Job Autonomy, and Work Overload to Mitigate Turnover Intentions (2007, background): “Job autonomy is inherently higher in jobs that have a significant IT component in them because IT affords employees more opportunities to respond to their task demands through managing schedules and adapting technologies to fit the specific circumstances of their life (Ahuja and Thatcher, 2005).”
Motivational Differences Across Post-Acceptance Information System Usage Behaviors: An Investigation in the Business Intelligence Systems Context (2013, methodology): “Trying to innovate with IT (Ahuja and Thatcher 2005) Users’ goals of ﬁnding novel uses for IS in a routine and standardized way to support their work.”
Demographic differences in perceived benefits from gamification (2014, background): “On a general level, women have been considered to be less likely to enjoy and use computers and information technology (Ahuja & Thatcher, 2005).”
Explaining adoption of mobile banking with the theory of trying, general self-confidence, and cynicism (2017, background): “…(Bagozzi et al., 2004), student retention in education (Bay and Daniel, 2003), value co-creation (Xie et al., 2008), self-regulation of body weight and hypertension (Agarwal and Agarwal, 2003; Taylor et al., 2001, 2006), and technology adoption (Ahuja and Thatcher, 2005; Reinders et al., 2008).”