A DATA ENVELOPMENT ANALYSIS APPROACH TO ESTIMATE IT-ENABLED PRODUCTION CAPABILITY

• 成果类型: Article
• 署名作者: Ayabakan, Sezgin; Bardhan, Indranil R.; Zheng, Zhiqiang (Eric)
• 署名单位: University System of Maryland; University of Baltimore; University of Texas System; University of Texas Dallas
• 刊物名称: MIS QUARTERLY
• ISSN/ISSBN: 0276-7783
• DOI: 10.25300/MISQ/2017/41.1.09
• 发表日期: 2017
• 页码: 189-+
• 关键词: information-technology capability; resource-based view; advanced manufacturing technology; performance impacts; empirical-evidence; supply chain; organizational agility; Competitive advantage; BUSINESS PERFORMANCE; management-systems

摘要

Information systems researchers have drawn on the resource-based view (RBV) and dynamic capabilities theory to offer a sharper theoretical lens to study the impact of information technology (IT) enabled capabilities on organizational performance. In this study, we propose a new conceptualization of IT-enabled production capability, based on the ability of a manufacturing plant to use its mix of resource inputs to maximize its process outputs. Our approach extends the literature on firm capability using data envelopment analysis (DEA), a nonparametric approach for estimating relative efficiencies of decision-making units. We tested our models using plant-level data collected from a sample of U.S. plants. Our study makes a key contribution by developing a new methodology to measure IT business value with respect to the role of IT-enabled production capability. We operationalize a new DEA-based measure of capability using the relative efficiency of converting plant inputs into process outputs, a significant departure from extant research that has primarily focused on subjective and absolute measures to conceptualize capability.