2003
DOI: 10.1145/903893.903943
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Emerging technologies to support supply chain management

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Cited by 52 publications
(41 citation statements)
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“…"You can't be analytical without data, and you can't be really good at analytics without really good data" (emphasis added) (Davenport et al 2010, p. 23). There is much promise from using advanced analytics (e.g., mathematical optimization) for manufacturing firms (Chae et al 2013;O'Dwyer et al 2011;Singh 2003). This would result in a research model testing the direct impact of data accuracy and advanced analytics on manufacturers' operational performance.…”
Section: A Contingent Rbt For Analyticsmentioning
confidence: 99%
See 1 more Smart Citation
“…"You can't be analytical without data, and you can't be really good at analytics without really good data" (emphasis added) (Davenport et al 2010, p. 23). There is much promise from using advanced analytics (e.g., mathematical optimization) for manufacturing firms (Chae et al 2013;O'Dwyer et al 2011;Singh 2003). This would result in a research model testing the direct impact of data accuracy and advanced analytics on manufacturers' operational performance.…”
Section: A Contingent Rbt For Analyticsmentioning
confidence: 99%
“…The use of advanced analytics, such as mathematical optimization techniques (Shapiro 2007;Singh 2003), and the importance of manufacturing data accuracy (Dionne et al 2011;Huner et al 2011), have been recognized as potential organizational resources or assets for improving the quality of manufacturing planning and control (MPC) and a firms' overall operational performance.…”
Section: Introductionmentioning
confidence: 99%
“…DMR is important for IPR since the data become inputs for supply chain planning. In general, the more sophisticated those technologies are, the more such analytic methods and data access capabilities are embedded (Singh 2003).…”
Section: A Rbv Of Scamentioning
confidence: 99%
“…Thus, we first consider three internal Some firms possess advanced IT-enabled resources for data management, such as ERP and RFID, that can enable automatic data acquisition, high accuracy in manufacturing-related data quality, and easy data retrieval and use for SCM planning and control. For example, RFID offers many benefits to supply chain management (Sellitto et al 2007) and a major benefit is data acquisition capability (Singh 2003, Delen et al 2007. ERP is widely adopted as a centralized data repository (Bendoly 2003, Olson et al 2013.…”
Section: Research Model and Hypothesesmentioning
confidence: 99%
“…The management of these processes requires close collaboration between different parties in a supply chain (SC), e.g., raw materials suppliers, manufacturers, distributors, and retailers, to attain the ultimate goal of satisfying customer requirements and reducing costs.To ensure that items are delivered on time and to the right place at a low cost, it is most desirable to use information technology (IT) to trace and track the status of the item flows and support the associated information interchange in a supply chain [4,9]. Before embarking on any IT initiatives for SCM, it is important to consider the diffusion, market acceptance, and legitimacy of IT in SCs to facilitate and support trading and communication among the supply chain partners to ensure its effective implementation.…”
mentioning
confidence: 99%