Is Organization Theory Obvious to Practitioners? A Test of One Established Theory
By Richard L. Priem, Joseph G. Rosenstein. 2000
104 citations recorded by the source corpus.
Subfields: Management Information Systems, Organizational Behavior and Human Resource Management
View Paper: https://www.semanticscholar.org/paper/de3fab725121e0c1128447822a827a6c71507d66
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Information Systems
In Organizational Behavior and Human Resource Management
- A. McKelvie
- J. Haynie
- S. Simmons
- Dan K. Hsu
- Charles Y. Murnieks
- Troy R. Harting
- David W. Williams
- Richard L. Priem
Citations in the corpus
- Unpacking the uncertainty construct: Implications for entrepreneurial action (2011, result): “This reporting of results is consistent with other studies that have used orthogonal factorial designs for metric conjoint analyses (cf., Priem, 1994; Priem and Rosenstein, 2000).”
- What matters, matters differently: a conjoint analysis of the decision policies of angel and venture capital investors (2014, methodology): “This is consistent with other studies using orthogonal factorial designs for metric conjoint analyses (cf. Priem 1994; Priem and Rosenstein 2000).”
- Opportunity Evaluation as Rule‐Based Decision Making (2014, background): “…2013 John Wiley & Sons Ltd and Society for the Advancement of Management Studies investigating entrepreneurial decision-making via the conjoint approach (cf. Haynie et al., 2009: n = 73; Priem and Rosenstein, 2000: n = 33; Shepherd and Zacharakis, 1997: n = 66; Zacharakis and Meyer, 1998: n = 53).”
- Venture Creation and the Enterprising Individual: A Review and Synthesis (2003, background): “Priem and Rosenstein (2000)conducted a study that may be a useful exemplar for future studies examining the opportunity exploitation decision.”
- ‘I Like How You Think’: Similarity as an Interaction Bias in the Investor–Entrepreneur Dyad (2011, methodology): “Since the research design (full factorial conjoint) ensures that there is zero correlation between the independent variables, testing and subsequently reporting two models (main-effects and full) is neither necessary nor appropriate (Priem, 1994; Priem and Rosenstein, 2000).”