Firm size and environmental scanning pursuits across organizational life cycle stages

2008 ◽  
Vol 15 (3) ◽  
pp. 540-554 ◽  
Author(s):  
Donald L. Lester ◽  
John A. Parnell
2020 ◽  
Vol 29 (2) ◽  
pp. 293-325
Author(s):  
Moyassar Al-Taie ◽  
Aileen Cater-Steel

Organizational life cycle scales are widely relied upon by scholar and practitioners alike as a strategic tool to identify firms’ life cycle stages. However, little attention has been paid to verifying and validating the OLC measures despite the considerable amount of OLC literature. The purpose of this study is to critically examine the psychometric properties of the OLC scale proposed by Lester, Parnell and Carraher. Data were obtained from a sample of 174 Australian Chief Information Officers from different sized firms and different industries and analysed by the use of component-based structural equation modelling. Results showed that the five-stage OLC scale exhibits acceptable validity and reliability indices despite some minor weaknesses. Results also confirmed the validity and the generalisability of this scale to measure and identify OLC stages in different types of industries. Based on these results and the literature review, alternate items were developed as substitutes for the weak items and an agenda for future research on OLC measurement is provided.


2019 ◽  
Vol 20 (1) ◽  
pp. 40
Author(s):  
Ferry Setiawan ◽  
Nofrisel Nofrisel

Research regarding the relationship between inventory management and financial performanceis so far inconclusive: some found it to be positive, others found it to be negative. One ofthe many factors that influence the variance, the organizational life cycle, will be exploredin this research. Organizational life cycle might influence the relationship between inventorymanagement and financial perfomance due to the different strategies and designs pursuedby the organizations along each of their life cycle stages. This study use a sample set of 33manufacturing companies listed in BEI, with 7 years observation period. A regression analysisis performed with dummy variables of organizational life cycle, resulting from a cluster analysiswith k-mean method. Regression analysis and cluster analysis are all done with Stata. Theresult shows that the relationship between inventory and financial performance is positive inthe early growth stage of organization life cycle and turns to negative at late growth stage. Therelationship is inconclusive at the conception and stability stage of organizational life cycle.Therefore, we can conclude that in making decisions about inventory, firms should considerwhat stage of organizational life cycle they are currently in so that the decisions made canimpact the financial performance positively.Keywords: Organizational Life Cycle, Financial Performance, Inventory Management


Author(s):  
Stefan Hattula ◽  
Maik Hammerschmidt ◽  
Hauke Wetzel ◽  
Hans H. Bauer

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