Supply chain practice and information quality: A supply chain strategy study

Zhou, Honggeng; Shou, Yongyi; Zhai, Xiaofeng; Li, Ling; Wood, Craig H.; Wu, Xiaobo

doi:10.1016/j.ijpe.2013.08.025

Cited by 111 publications

(78 citation statements)

References 44 publications

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“…Thus, although the term 'big data' is not new, the application of big data in supporting supply chain operations is a relatively new area (Cecere, 2013;Zhou et al, 2014 To our knowledge, this is the first attempt that incorporated the big data analytics and applied it in a synergistic fashion with the deduction graph technique. The evidence provided in this paper reveals the promise of this combinatorial approach, which we believe is worth further developmental efforts from big data and supply chain operations management scholars.…”

Section: Discussionmentioning

confidence: 99%

Harvesting big data to enhance supply chain innovation capabilities: An analytic infrastructure based on deduction graph

Tan

Zhan

et al. 2015

International Journal of Production Economics

335

238

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Chingter (2015) Harvesting big data to enhance supply chain innovation capabilities: an analytic infrastructure based on deduction graph. International Journal of Production Economics, Access from the University of Nottingham repository: http://eprints.nottingham.ac.uk/31811/4/IJPE_BIG%20DATA_New%20Version.pdf The version presented here may differ from the published version or from the version of record. If you wish to cite this item you are advised to consult the publisher's version. Please see the repository url above for details on accessing the published version and note that access may require a subscription. Thus, managers increasingly view data as an important driver of innovation and a significant source of value creation and competitive advantage. To get the most out of the big data (in combination with a firm's existing data), a more sophisticated way of handling, managing, analysing and interpreting data is necessary. However, there is a lack of data analytics techniques to assist firms to capture the potential of innovation afforded by data and to gain competitive advantage. This research aims to address this gap by developing and testing an analytic infrastructure based on the deduction graph technique. The proposed approach provides an analytic infrastructure for firms to incorporate their own competence sets with other firms. Case studies results indicate that the proposed data analytic approach enable firms to utilise big data to gain competitive advantage by enhancing their supply chain innovation capabilities.

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Section: Discussionmentioning

confidence: 99%

Harvesting big data to enhance supply chain innovation capabilities: An analytic infrastructure based on deduction graph

Tan

Zhan

et al. 2015

International Journal of Production Economics

335

238

View full text Add to dashboard Cite

show abstract

“…Zailani and Rajagopal (2006), verified that when IQ is maintained, then better SCP is attained. Zhou et al (2014), show that firms need to align supply chain practice with the level of their information quality in order to achieve enhanced overall business performance. The selected supply chain practices under investigtation were sourcing practice and delivery practice.…”

Section: Information Quality and Information Sharingmentioning

confidence: 99%

Information Quality and Supply Chain Performance: The Mediating Role of Information Sharing

Marinagi¹,

Trivellas²,

Reklitis³

2015

Procedia - Social and Behavioral Sciences

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This paper outlines the critical role of information sharing in the link between information quality and Supply Chain performance. Supply chain partners coordinate their processes through information sharing, in order to facilitate suppliercustomer interactions. Since proprietary and confidential information is usually communicated along the supply chain, the preservation of the quality of the exchanged information is a crucial issue. A research framework is developed in which information sharing acts as the mediator between information quality and supply chain performance. The empirical findings from a survey of 61 manufacturing firms in Greece confirmed the mediating role of information sharing. The main implication of the findings for managers is that information sharing among partners along the supply chain facilitates higher overall performance, as a result of enforced Supply Chain Management practices elevating information reliability and quality.

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“…Zhou et al (2014) study the relation between up-to-date information technology and supply chain practices (among which sourcing and delivery are included) and conclude that, in order to achieve good overall business performance, the companies need to align supply chain practices with the level of information quality. Also, trust can play an important role in several types of relationships and cooperative strategies (see, for example, Yeung et al, 2009;Laaksonen et al, 2009;Chang et al, 2014).…”

Section: Assumptions For Reaching the Coordinationmentioning

confidence: 99%

A contract for coordinating capacity decisions in a business-to-business (B2B) supply chain

Araneda-Fuentes

Lustosa

Minner

2015

International Journal of Production Economics

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Supply chain practice and information quality: A supply chain strategy study

Cited by 111 publications

References 44 publications

Harvesting big data to enhance supply chain innovation capabilities: An analytic infrastructure based on deduction graph

Harvesting big data to enhance supply chain innovation capabilities: An analytic infrastructure based on deduction graph

Information Quality and Supply Chain Performance: The Mediating Role of Information Sharing

A contract for coordinating capacity decisions in a business-to-business (B2B) supply chain

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