Organic structure and organisational learning as the main antecedents of workforce agility

Somaieh Alavi, Dzuraidah Abd. Wahab, Norhamidi Muhamad, Behrooz Arbab Shirani

Research output: Contribution to journalArticle

27 Citations (Scopus)

Abstract

Studies on agility in the workplace have focused excessively on technical factors, and little attention has been given to the workforce. Most studies on workforce agility are conceptual and have a notable absence of quantitative modelling and analysis. In the study, a theoretical model of the impact of two organisational characteristics, namely organisational learning and an organic structure (with three dimensions, which are decentralisation of decision-making, low formalisation and a flat structure), on workforce agility was developed and empirically tested. Several small-and medium-sized enterprises in Iran were investigated. The structural equation modelling showed that organisational learning and only the decentralisation of decision-making and a flat structure were positively and significantly correlated with workforce agility. The impact of the dimensions of an organic structure on organisational learning was also considered. Based on the results, we proposed a process model on workforce agility.

Original languageEnglish
Pages (from-to)6273-6295
Number of pages23
JournalInternational Journal of Production Research
Volume52
Issue number21
DOIs
Publication statusPublished - 25 Nov 2014

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Decision making
Industry
Workforce
Organizational learning
Agility
Decentralization

Keywords

  • decentralisation of decision-making
  • flat structure
  • low formalisation
  • organic structure
  • organisational learning
  • workforce agility

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Management Science and Operations Research
  • Strategy and Management

Cite this

Organic structure and organisational learning as the main antecedents of workforce agility. / Alavi, Somaieh; Abd. Wahab, Dzuraidah; Muhamad, Norhamidi; Arbab Shirani, Behrooz.

In: International Journal of Production Research, Vol. 52, No. 21, 25.11.2014, p. 6273-6295.

Research output: Contribution to journalArticle

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