Subjective Organizational Performance and Measurement Error: Common Source Bias and Spurious Relationships
By K. Meier, L. O'toole. 2013
409 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Public Administration
View Paper: https://www.semanticscholar.org/paper/b6bbb8b20f2dd2021bb2901975a9da8581441c62
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Science and Operations Research
- T. Ashikali
- Thomas Anning-Dorson
- R. Jensen
- S. Groeneveld
- P. Leisink
- W. Vandenabeele
- N. V. van Loon
- Morten Jakobsen
In Public Administration
- N. V. van Loon
- P. Leisink
- W. Vandenabeele
- T. Ashikali
- Thomas Anning-Dorson
- R. Jensen
- S. Groeneveld
- Morten Jakobsen
Citations in the corpus
- Diversity management for all? An empirical analysis of diversity management outcomes across groups (2015, methodology): “The analysis in this study runs the risk of common method bias (Podsakoff et al., 2003; Meier and O’Toole, 2013) since diversity management and inclusiveness of the organizational culture were measured, together with the dependent variables affective commitment and OCB, in a single questionnaire bas”
- Customer involvement capability and service firm performance: The mediating role of innovation (2017, positive): “Services studies (e.g., Anning-Dorson, 2017b; Bello et al., 2016; Karpen, Bove, Lukas, & Zyphur, 2015; Meier & O'Toole, 2013) have used subjective measures.”
- Common Method Bias in Public Management Studies (2015, methodology): “7 For example, Meier and O'Toole (2013a) provide such evidence on measures of public organization performance.”
- Clarifying the Relationship Between Public Service Motivation and In-Role and Extra-Role Behaviors: The Relative Contributions of Person-Job and Person-Organization Fit (2017, methodology): “…and that management practices show similar effects using both subjective and register performance data, but others view objective data as “the golden standard” (Andrews, Boyne, & Walker, 2011; Bommer, Johnson, Rich, Podsakoff, & Mackenzie, 1995; C. C. Hoffman et al., 1991; Meier & O’Toole, 2013).”