Sr. Nidumolu et Gw. Knotts, THE EFFECTS OF CUSTOMIZABILITY AND REUSABILITY ON PERCEIVED PROCESS AND COMPETITIVE PERFORMANCE OF SOFTWARE FIRMS, Management information systems quarterly, 22(2), 1998, pp. 105-137
Citations number
34
Categorie Soggetti
Management,"Information Science & Library Science","Computer Science Information Systems","Computer Science Information Systems
This study addresses the broad research issue of how software firms ca
n manage their software development efforts in order to compete effect
ively under intensified competition. Based on recent research in manuf
acturing strategy and software process engineering, a research model a
nd six hypotheses were derived. Reusability and customizability were e
xpected to positively affect process flexibility and predictability. I
n turn, these perceived process performance dimensions were expected t
o positively influence perceived competitive performance, assessed in
terms of market responsiveness and product cost efficiency. Using a su
rvey design, responses were obtained from a random sample of 100 softw
are firms. Two kinds of respondents were used: the senior manager in c
harge of software development (58% response rate) and the marketing ma
nager (36% response rate). The model and hypotheses were assessed usin
g EQS, a structural equations modeling package that can be used for pa
th analysis. The results from both the marketing manager and developme
nt manager responses suggested that process flexibility was an importa
nt determinant of perceived competitive performance. However, process
predictability was an important determinant of perceived competitive p
erformance in the development manager, but not the marketing manager,
responses. Finally, while customizability had a significant positive e
ffect on the perceived process performance dimensions, reusability did
not. The research model is a potentially useful contribution to an im
portant new area of MIS research concerning the performance of softwar
e firms, which draws from manufacturing strategy and software process
engineering.