Investigating user resistance to information systems implementation: a status quo bias perspective

By Hee-Woong Kim, Atreyi Kankanhalli. 2009

1,192 citations recorded by the source corpus.

Subfields: Communication, Information Systems and Management, Management Information Systems

View Paper: https://www.semanticscholar.org/paper/afc5b9c860549151f22323ca1b84ff46220b690d

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In Communication

In Information Systems and Management

In Management Information Systems

Citations in the corpus

The use of social media in travel information search (2015, background): “Kim and Kankanhalli (2009) argued that changing to a new IS and a new way of working with the new system could affect the users’ reactions to the new IS-related changes and have a significant impact on user resistance.”
Strategizing information systems-enabled organizational transformation: A transdisciplinary review and new directions (2012, background): “…Arkes and Blumer (1985), March (1991), Burgelman (1991), Gilbert (2005) Sunk costs and escalation of commitment (Keil et al., 1995, 2000); Infrastructure activity costs (Harter and Slaughter, 2003); Switching costs (Zhu et al., 2006; Ray et al., 2012) and benefits (Kim and Kankanhalli, 2009).”
Preparing Workplaces for Digital Transformation: An Integrative Review and Framework of Multi-Level Factors (2021, background): “Studies of IT-enabled transformation have identiﬁed various factors in the change process, such as organizational inertia, process, agency, and performance (Venkatesh, 2000; Kim and Kankanhalli, 2009; Besson and Rowe, 2012).”
Shackled to the Status Quo: The Inhibiting Effects of Incumbent System Habit, Switching Costs, and Inertia on New System Acceptance (2012, neutral): “Prior research has focused primarily on conscious resistance and its antecedents, such as switching costs and other “mooring factors” 2 (e.g., Kim and Kankanhalli 2009; Ye et al. 2006).”
Giving too much social support: social overload on social networking sites (2015, background): “On the basis of Bhattacherjee ’ s (2001) concept of continuous usage intention, technology acceptance research (Dwivedi et al, 2008; Williams et al, 2009), and the discussion on user resistance (Kim & Kankanhalli, 2009), we refer to this as discontinuous usage intention.”
Guidelines for Conducting Mixed-methods Research: An Extension and Illustration (2016, methodology): “The illustrative study focused on MATH and empirically derived and validated this model for adopters and non-adopters to identify the factors that influence technology adoption in households. Venkatesh and Brown (2001) proposed MATH using the theory of planned behavior (TPB) (Ajzen, 1985, 1991) as t”
"Algorithms ruin everything": #RIPTwitter, Folk Theories, and Resistance to Algorithmic Change in Social Media (2017, background): “However, though algorithmic curation could be considered a new technology, it was introduced to users within be exacerbated by high switching costs and a user-perceived lack of agency in the decision [20].”
“Extending the Technology Acceptance Model (TAM) to Predict University Students’ Intentions to Use Metaverse-Based Learning Platforms” (2023, background): “However, it has been claimed that it is critical to investigate the factors that lead to resistance behaviors among technology users (Kim & Kankanhalli, 2009 ).”
The marketplace of ideology: “Elective affinities” in political psychology and their implications for consumer behavior (2017, background): “…such as loss and risk aversion) in behavioral decision theory (e.g., Kahneman, 2011; Moshinsky & Bar-Hillel, 2010; Thaler, 2015) and various applications in marketing, strategy, management, and organizational behavior (e.g., Chernev, 2004; Hartman, Doane, & Woo, 1991; Kim & Kankanhalli, 2009).”