Supply Chain Management Information Systems and Organisational Performance in economic turbulent environments

M. Argyropoulou, R. Michaelides, I. Reid, G. Ioannou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Supply Chain Information Systems (SCIS) and their impact on organisational performance has been studied by a number of studies. This research seeks to extend this body of knowledge by adopting a fresh lens to explore empirically the relationship between organisational performance and SCIS in circumstances of economic downturn and financial turbulence. The statistical relationship between Supply Chain Information Systems (SCIS) Effectiveness and Organisational Performance is tested and measured by financial and non-financial variables. So, even though complexities associated with measuring SCIS efficiency and Organisational Performance continue to dominate research discussions, these are somewhat limited to just explaining the phenomenon without addressing the misalignment of the information provided by SCIS, business expectations and Organisational Performance. In consequence, this paper reports findings from a large survey of 168 SCIS managers in Greek SMEs where, even during economic downturn, a strong correlation between SCIS and non-financial Organisational Performance is evidenced. In considering the findings, this study proposes guidance to enhance SCIS Effectiveness and Organisational Performance.

LanguageEnglish
Title of host publication2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
PublisherIEEE Computer Society
Pages1673-1678
Number of pages6
ISBN (Electronic)9781467380669
DOIs
Publication statusPublished - 21 Jan 2016
EventIEEE International Conference on Industrial Engineering and Engineering Management - , Singapore
Duration: 6 Dec 20159 Dec 2015
https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7378213 (Link to Conference Proceedings)

Conference

ConferenceIEEE International Conference on Industrial Engineering and Engineering Management
Abbreviated titleIEEM 2015
CountrySingapore
Period6/12/159/12/15
Internet address

Fingerprint

Supply chain management
Management information systems
Supply chains
Information systems
Economics
Organizational performance
Economic environment
Supply chain
Lenses
Turbulence
Managers

Cite this

Argyropoulou, M., Michaelides, R., Reid, I., & Ioannou, G. (2016). Supply Chain Management Information Systems and Organisational Performance in economic turbulent environments. In 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (pp. 1673-1678). [7385932] IEEE Computer Society. https://doi.org/10.1109/IEEM.2015.7385932
Argyropoulou, M. ; Michaelides, R. ; Reid, I. ; Ioannou, G. / Supply Chain Management Information Systems and Organisational Performance in economic turbulent environments. 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE Computer Society, 2016. pp. 1673-1678
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Argyropoulou, M, Michaelides, R, Reid, I & Ioannou, G 2016, Supply Chain Management Information Systems and Organisational Performance in economic turbulent environments. in 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)., 7385932, IEEE Computer Society, pp. 1673-1678, IEEE International Conference on Industrial Engineering and Engineering Management, Singapore, 6/12/15. https://doi.org/10.1109/IEEM.2015.7385932

Supply Chain Management Information Systems and Organisational Performance in economic turbulent environments. / Argyropoulou, M.; Michaelides, R.; Reid, I.; Ioannou, G.

2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE Computer Society, 2016. p. 1673-1678 7385932.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Argyropoulou M, Michaelides R, Reid I, Ioannou G. Supply Chain Management Information Systems and Organisational Performance in economic turbulent environments. In 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE Computer Society. 2016. p. 1673-1678. 7385932 https://doi.org/10.1109/IEEM.2015.7385932