Supply chain technology: the role of environment in predicting performance

Davis‐Sramek, Beth; Germain, Richard; Iyer, Karthik N. S.

doi:10.1007/s11747-009-0137-1

Cited by 47 publications

(24 citation statements)

References 70 publications

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“…Some have argued that a proper fit between internal organizational mechanisms and exogenous variables is necessary for achieving superior firm performance (e.g., [9]). Recent studies note that the effects of IT capabilities on firm performance may be contingent on external business environmental factors, such as environmental dynamism (e.g., [18]). For example, Nevo and Wade [51] proposed that certain IT-enabled resources may become less or more strategic in the presence of greater uncertainty in a firm's business environment.…”

Section: Competitive Intensitymentioning

confidence: 99%

IT capabilities and product innovation performance: The roles of corporate entrepreneurship and competitive intensity

Chen

Wang

Nevo

et al. 2015

Information & Management

282

197

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Section: Competitive Intensitymentioning

confidence: 99%

IT capabilities and product innovation performance: The roles of corporate entrepreneurship and competitive intensity

Chen

Wang

Nevo

et al. 2015

Information & Management

282

197

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“…Similarly, the higher IS support and business process orientations in an organization, the stronger the impact of analytics on organizational performance (Trkman et al 2010). The effect of supply chain analytic IT on organizational performance is contingent upon environmental uncertainty (Davis-Sramek et al 2010). …”

Section: Research Modelmentioning

confidence: 99%

The impact of advanced analytics and data accuracy on operational performance: A contingent resource based theory (RBT) perspective

Chae

Yang

Olson³

et al. 2014

Decision Support Systems

161

100

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This study is interested in the impact of two specific business analytic (BA) resourcesaccurate manufacturing data and advanced analytics-on a firms' operational performance. The use of advanced analytics, such as mathematical optimization techniques, and the importance of manufacturing data accuracy have long been recognized as potential organizational resources or assets for improving the quality of manufacturing planning and control and of a firms' overall operational performance. This research adopted a contingent resource based theory (RBT), suggesting that the moderating and mediating role of fact-based SCM initiatives as complementary resources. This research proposition was tested using Global Manufacturing Research Group (GMRG) survey data and was analyzed using partial least squares/structured equation modeling. The research findings shed light on the critical role of fact-based SCM initiatives as complementary resources, which moderate the impact of data accuracy on manufacturing planning quality and mediate the impact of advanced analytics on operational performance. The implication is that the impact of business analytics for manufacturing is contingent on contexts, specifically, the use of fact-based SCM initiatives such as TQM, JIT, and statistical process control. Moreover, in order for manufacturers to take advantage of the use of data and analytics for better operational performance, complementary resources such as factbased SCM initiatives must be combined with BA initiatives focusing on data quality and advanced analytics.

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“…The ability to provide higher levels of service to customers through logistics operations is also frequently employed as a measure of advantage in firms and supply chains (Davis‐Sramek et al. ; Fugate et al. ) because it can serve as an indication of increased functionality.…”

Section: Conceptual Developmentmentioning

confidence: 99%

Supply Chain Collaboration, Integration, and Relational Technology: How Complex Operant Resources Increase Performance Outcomes

Adams

Richey

Autry

et al. 2014

J of Business Logistics

120

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H ow firms coordinate efforts to collectively compete as supply chains is a key concern of supply chain management scholars and practitioners. One avenue, the development of collaborative relational capabilities that support supply chain integration, offers promise. However, the effectiveness of collaboration as a supply chain resource has been questioned due to concerns associated with collaborative technologies, and thus prior research has called for a deeper examination of the role that technologies play in facilitating integration. Employing a Service-Dominant Logic view of hierarchical resources, grounded in Resource Advantage Theory, this research tests a model subsuming relationships between collaboration, integration, and interfirm coordination technologies, and their associated performance outcomes. A sample of 282 supply chain managers from a variety of industries were surveyed, with proposed relationships examined employing structural equation modeling. Test results indicate that collaboration and integration interact to form higher order resources that collectively influence firm performance outcomes through interfirm coordination technologies.

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Supply chain technology: the role of environment in predicting performance

Cited by 47 publications

References 70 publications

IT capabilities and product innovation performance: The roles of corporate entrepreneurship and competitive intensity

IT capabilities and product innovation performance: The roles of corporate entrepreneurship and competitive intensity

The impact of advanced analytics and data accuracy on operational performance: A contingent resource based theory (RBT) perspective

Supply Chain Collaboration, Integration, and Relational Technology: How Complex Operant Resources Increase Performance Outcomes

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