Hua, Liangliang, Mao, Di, Rao-Nicholson, Rekha, Yu, Chia-Hui, Lu, Huimin and Wang, Yichuan (2025) From aspirational to transformed: configurational recipes for analytics-driven operational excellence. Enterprise Information Systems. ISSN 1751-7575 (Print), 1751-7583 (Online) (In Press)

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Abstract

Analytics technologies are critical for optimizing operational performance, yet the effective configurations for leveraging these technologies remain underexplored. Grounded in complexity theory and contingency theory, this paper elucidates how supply chain governance, organizational capability, and environmental conditions interact with varying levels of analytics capability to enhance operational performance. Using secondary data from 205 Chinese high-tech enterprises over two years, we conduct a rigorous content analysis and employ fuzzy-set qualitative comparative analysis (fsQCA) to identify the configurations that drive operational performance. Our findings reveal that firms must tailor their organizational capabilities, supply chain governance, and environmental strategies according to their specific level of analytics capability, categorized as aspirational, experienced, and transformed, to achieve optimal performance. This study enriches the digital technologies stream of operation and supply chain management literature by offering a novel approach to understanding the complex dynamics of analytics technology implementation and providing actionable insights for managers.

Item Type:	Article
Uncontrolled Keywords:	operational performance, analytics technology, supply chain governance, complexity theory, fuzzy-set qualitative comparative analysis (fsQCA)
Subjects:	H Social Sciences > HB Economic Theory H Social Sciences > HF Commerce
Faculty / School / Research Centre / Research Group:	Greenwich Business School Greenwich Business School > Networks and Urban Systems Centre (NUSC) Greenwich Business School > School of Business, Operations and Strategy
Last Modified:	26 Nov 2025 09:26
URI:	https://gala.gre.ac.uk/id/eprint/51779

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