An Examination of Firm, Industry, and Time Effects on Performance Using Random Coefficients Modeling  

Oleh:

Short, Jeremy C. ; Bennett, Nathan ; Toit, Du Mathilda ; Ketchen, David J., (Jr.)

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Organizational Research Methods vol. 9 no. 3 (Jul. 2006), page 259-284.
Topik: research methods; organizational performance; longitudinal research; multilevel studies
Fulltext: 259.pdf (155.11KB)

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: OO3.7 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

The strategic management literature is unclear about how firm and industry effects influence performance, and the analysis of longitudinal data therein continues to be problematic. The authors analyze longitudinal data using hierarchical linear modeling to illustrate a random coefficient modeling alternative for examining firm performance. This approach allows researchers to explicitly model different conceptual approaches to testing change in performance over time and model predictor variables and cross -level interactions at multiple levels of analysis, and it also allows for investigation of time series errors. The results have implications for the strategic management field's goal of understanding multilevel determinants of firm performance over time.

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