Data Analytic Trends and Training in Strategic Management  

Oleh:

Shook, Christopher L. ; Ketchen, David J., (Jr.) ; Cycyota, Cynthia S. ; Crockett, Dilene

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Strategic Management Journal vol. 24 no. 12 (2003), page 1231-1238.
Topik: strategic management; strategy research; statistical methods; research trends; doctoral training

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: SS30.13 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

Data analysis is a key element of the research process. Accordingly, appropriate doctoral trainng in data analysis is vital to the strategic management field's future. We used a two - study dsign to evaluate quantitative data analysis trend and doctoral training. An analysis of strategic management journal articles form 1980 to 2001 reveals that, contrary to some prediction, the use of general linear model techniques such as regression has increased over time. However, the use of more specialized techniques, including those suitable for examining longitudinal data, discrete events, and causal structure, has also grown substantially. A survey of recent doctoral graduates shows that although skilled with general linear models, many are ill prepared to use specialized techniques. Based on our findings, we offer sugegstions aimed at bridging gaps between what doctoral students (and other researchers) know and what they need to know about data analysis.

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