Communications of the Association for Information Systems
By Hugh J. Watson, Rui Dinis Sousa, Iris A. Junglas. 2000
355 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/3e7c61d11dff7ffed8d3fb3e25f473ca4f0ede11
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Paul Benjamin Lowry
- Yogesh Kumar Dwivedi
- Tao Zhou
- Ali Abdallah Alalwan
- Detmar W. Straub Jr.
- David Gefen
- Heshan Sun
- Christian M. Ringle
Citations in the corpus
- Understanding Online Community User Participation: A Social Influence Perspective (2011, background): “This demonstrates a good convergent validity (Bagozzi and Yi, 1988; Gefen et al., 2000).”
- Eco-innovation and Circular Business Models as drivers for a circular economy (2018, background): “Alex Osterwalder’s seminal publication (Osterwalder et al., 2005) and follow-on book ‘Business Model Generation’ (Osterwalder and Pigneur, 2010) provide the following definition: A business model describes the rationale of how an organisation creates, delivers and captures value.”
- The role of moderating factors in user technology acceptance (2006, background): “The second limitation of these models is the inconsistent relationships among constructs, making researchers question the generalizability of these models across differing contexts (e.g., Lee et al., 2003; Legris et al., 2003).”
- A public value perspective for ICT enabled public sector reforms: A theoretical reflection (2012, background): “This approach neglects to consider the political impacts associatedwith changes in public sector organizational practices (Cordella & Iannacci, 2010; Cordella & Willcocks, 2010) and the importance of looking at ICT as a mediator in public administration transformation (Persson & Goldkuhl, 2010).”
- Investigating environmental sustainability in small family-owned businesses: Integration of religiosity, ethical judgment, and theory of planned behavior (2021, methodology): “According to the recommendation by Straub et al. (2004), both the R2 values of this model meet the minimum requirement of 40%.”
- Causal Relationships between Perceived Enjoyment and Perceived Ease of Use: An Alternative Approach (2006, result): “The use of subject types in our studies is congruent with contemporary studies on technology acceptance (Lee et al., 2003; Legris et al., 2003).”
- Revisiting the uncanny valley theory: Developing and validating an alternative to the Godspeed indices (2010, background): “…slightly exceeded the cutoff of .05, the other goodness-of-fit indices indicated that the 19 semantic differential items fit moderately well within the structure of these indices (v 2 = 1229.29, CFI = .97, NFI = .97, GFI = .91, AGFI = 0.88; Bentler, 1990; Chin & Todd, 1995; Gefen et al., 2000).”
- An Update and Extension to SEM Guidelines for Admnistrative and Social Science Research (2011, background): “See an example of how to do so and the consequences of ignoring it in the tutorial on unidimensionality by Gefen (2003).”
- Blissfully ignorant: the effects of general privacy concerns, general institutional trust, and affect in the privacy calculus (2015, methodology): “Except for the general privacy concerns scale in the Swiss sample, yielding a Cronbach’s α of 0.69, all scales exceeded the recommended thresholds of 0.70 for Cronbach’s α and composite reliability (Gefen et al., 2000).”
- Why Do Adults Engage in Cyberbullying on Social Media? An Integration of Online Disinhibition and Deindividuation Effects with the Social Structure and Social Learning Model (2016, methodology): “…the results of our validation procedures show that our model data meets or exceeds the rigorous validation standards expected in modern research (Straub et al. 2004)—particularly for PLS analysis for reflective constructs (Gefen and Straub 2005) and formative constructs (Cenfetelli and…”
- Management Support with Structured and Unstructured Data—An Integrated Business Intelligence Framework (2008, background): “…or Competitive Intelligence (CI) (Vedder, Vanecek, Guynes, & Cappel, 1999), it becomes imperative to consider both structured and unstructured data to provide valid insights into current business developments (Mertens, 1999; Kantardzic, 2003; Weiss, Indurkhya, Zhang, & Damerau, 2005; Negash, 2004).”