International Technology and Operations Management: Resource Toolkit for Research and Teaching

Roth, Aleda V.; Gray, Angela; Singhal, Jaya; Singhal, Kalyan

doi:10.1111/j.1937-5956.1997.tb00424.x

Cited by 34 publications

(22 citation statements)

References 2 publications

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“…If researchers are using a translation or adaptation approach in scale development and want to make comparisons between different groups or to pool data from different cultural groups, they should test and demonstrate measurement equivalence first, otherwise the comparison will not be meaningful. For example, Roth, Gray, Singhal, & Singhal (1997) and Roth (1996) used a translation approach to survey executives in 35 countries; however, great care was taken to ensure measurement equivalence of key constructs across countries in the pilot studies. A useful approach was taken by Voss, Roth, Rosenzweig, Blackmon, and Chase (2004), who used teams of cross‐trained interviewers from different countries to interview executives.…”

Section: Methodological Issuesmentioning

confidence: 99%

Decision Sciences Research in China: Current Status, Opportunities, and Propositions for Research in Supply Chain Management, Logistics, and Quality Management*

2007

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As China becomes increasingly important to the global economy, it is critical to conduct high-quality research on important decision sciences issues there. This article provides an extensive review and critique of the extant China-based literature on supply chain management, logistics, and quality management, based on the foundation established by Zhao, Flynn, and Roth (2006). In general, decision sciences research in China is in its infancy. Although there have been some very interesting and well-executed articles, the majority are descriptive and focus on status updates. We provide a set of propositions to guide future research in logistics, supply chain management, and quality management in China, as well as guidelines for dealing with some of the unique challenges of conducting empirical research in China.

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Section: Methodological Issuesmentioning

confidence: 99%

Decision Sciences Research in China: Current Status, Opportunities, and Propositions for Research in Supply Chain Management, Logistics, and Quality Management*

2007

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“…We test our hypotheses using secondary data drawn from the Vision in Manufacturing Project (VIM), a research project jointly administered since 1989 by Deloitte Consulting and Professor Aleda Roth, now at Clemson University (Roth et al 1997). VIM aims to identify manufacturers' needs, to assess levels of operating capabilities and competitive strengths, and to benchmark factors deemed critical for competing effectively in the twenty first century.…”

Section: Research Databasementioning

confidence: 99%

Examining the Influence of Operational Intellectual Capital on Capabilities and Performance

Menor

Kristal

Rosenzweig

2007

M&SOM

138

166

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Managers have long been challenged by an abundance of internal and external demands and uncertainties in their operating environments. Anecdotal evidence and a growing number of research studies have advocated process flexibility and product innovation as organization-level operating capabilities critical for responding to such demands and uncertainties, and have highlighted the need for more efficient and effective management of the firm's knowledge-based resources. Leveraging arguments from the resource-based and knowledge-based views of the firm, we introduce a second-order latent construct called operational intellectual capital, which represents the organization's operating know-how embedded in a system of complementary (i.e., covarying) knowledge-based resources. We argue that operational intellectual capital influences organization-level operating capabilities such as process flexibility and product innovation, which, in turn, influence business performance. We empirically examine these relationships using structural equation modeling on a cross-section of U.S. manufacturing survey data. Statistical results from the estimation of a coalignment model and comparisons with several other models support our operational intellectual capacity conceptualization and its impact on operating capabilities and business performance, respectively. Our research thus suggests the importance of possessing and leveraging a system of complementary knowledge-based operating resources, and addresses the need for the reformulation of operations strategy theory in terms of the emergent knowledge-based view of the firm.operations strategy, operational intellectual capital, operating capabilities, business performance, structural equation modeling

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“…The database used in this research is part of a larger ongoing study, namely, the Vision in Manufacturing Project (VIM). VIM is an industry-academic research project that has been conducted biennially by Deloitte Consulting and researchers at the Kenan-Flagler Business School at the University of North Carolina since 1989 (see Roth, Gray, Singhal, and Singhal 1997 for details of the study). In addition to more traditional manufacturing strategy data, the 1997 survey used in this research gathered data on competitive capabilities and performance from manufacturing firms worldwide, and contained over 900 items with a mix of perceptual and objective data.…”

Section: Research Databasementioning

confidence: 99%

Towards a Theory of Competitive Progression: Evidence from High‐Tech Manufacturing

Rosenzweig

Roth

2004

Production and Operations Management

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231

278

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This study replicates and extends Ferdows and De Meyers' observed ‘sand cone’ model of cumulative competitive capabilities by means of Roth's related competitive progression theory (CPT). Using path analysis, we model and test the relationships among the generic competitive capability constructs of conformance quality, delivery reliability, volume flexibility, and low cost as predicted by CPT. Our results, drawn from a sample of high‐tech manufacturers, provide further evidence that on average, these four capabilities are acquired both cumulatively and in that sequence. We also find that each generic capability increases operational know‐how and reduces non‐value‐added directly and/or indirectly through the enhancement of successive capabilities in the progression, which in turn improves profitability. The paper contributes a theoretical rationale for the observed sand cone effect, describes how the competitive progression acts to influence accelerated organizational learning over an innovation cycle, and offers evidence that combinative capabilities have strategic value for high‐tech manufacturers.

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International Technology and Operations Management: Resource Toolkit for Research and Teaching

Cited by 34 publications

References 2 publications

Decision Sciences Research in China: Current Status, Opportunities, and Propositions for Research in Supply Chain Management, Logistics, and Quality Management*

Decision Sciences Research in China: Current Status, Opportunities, and Propositions for Research in Supply Chain Management, Logistics, and Quality Management*

Examining the Influence of Operational Intellectual Capital on Capabilities and Performance

Towards a Theory of Competitive Progression: Evidence from High‐Tech Manufacturing

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