Lutz Kaufmann

Bio: Lutz Kaufmann is an academic researcher from WHU - Otto Beisheim School of Management. The author has contributed to research in topics: Supply chain management & Supply chain. The author has an hindex of 33, co-authored 90 publications receiving 3421 citations. Previous affiliations of Lutz Kaufmann include Saint Petersburg State University.

Intangibles: A synthesis of current research

Abstract: Intangibles are becoming increasingly important to the scientific community as well as the business world. This is mainly due to a highly competitive business environment combined with exceptionally limited resources and the growing importance of knowledge as a commodity. The fluctuating differences between market and book values of companies indicate the extent of the intangibles' rising importance. By focusing on major publications since 1997, this paper critically analyzes current trends and differing views in this field. The publications are analyzed according to their content and methodologies. Review of the literature clearly shows that most publications in this area still lack a theoretical foundation. A large number of differing terms and definitions are present. Much of the literature analyzed here also fails to provide detailed suggestions for the management of intangibles, be they theory‐based or empirically‐derived. Discussion of these issues generally remains on a very abstract level. Research on intangibles is characterized by a large variety of views and interpretations – dominant schools of thought have yet to develop. This situation offers much opportunity for further research in this important field of management.

Social Sustainability in Selecting Emerging Economy Suppliers

Abstract: Despite the growing public awareness of social sustainability issues, little is known about what drives firms to emphasize social criteria in their supplier management practices and what the precise benefits of such efforts are. This is especially true for relationships with international suppliers from the world’s emerging economies in Asia, Latin America, and Eastern Europe. Building on stakeholder theory, we address the issue by examining how pressures from customers, the government, and employees as primary constituencies of the firm determine the extent to which firms consider social aspects in the selection of emerging economy suppliers. Further, we analyze how such socially sustainable supplier selection relates to the capabilities of the firm’s suppliers, its market reputation, and the learning in its supply management organization. We test the developed research framework empirically using data from 244 U.S. and German corporations. Our findings, consistent with our hypothesized model, suggest that middle-level supply managers as internal stakeholders play a major driving role for firms’ socially sustainable supplier selection, and that strong positive links exist between that selection and the investigated outcomes.

Reverse auctions--grounded theory from the buyer and supplier perspective

Abstract: Supply chain relationships are increasingly impacted by the use of the Internet and the adoption of logistics technology. In this paper we report the results of a large-scale field study of a diverse group of buyers and their suppliers who have participated in a unique and recently adopted Internet technology: electronic reverse auctions (e-RAs). We examine the barriers to implementing e-RAs, as well as such consequences as cycle time and productivity. We also investigate the parameters that affect the savings that occur during a specific e-RA event, including lotting strategies and the degree of supplier visibility. � 2003 Published by Elsevier Ltd.

Behavioral supply management: a taxonomy of judgment and decision‐making biases

Abstract: Purpose – The purpose of this paper is to review and integrate the extensive literature base which examines judgment and decision‐making biases, to introduce this literature to the field of supply management, to create a valid, mutually exclusive, and exhaustive taxonomy of decision biases that can affect supply managers, and to provide guidance for future research and applications of this taxonomy.Design/methodology/approach – The authors use a qualitative cluster analysis, combined with a Q‐sort methodology, to develop a taxonomy of decision biases.Findings – A mutually exclusive, and exhaustive taxonomy of nine decision biases is developed through a qualitative cluster analysis. The Q‐sort methodology provides initial confirmation of the reliability and validity of the cluster analysis results. The findings, along with numerous examples provided in the text, suggest that supply management decisions are vulnerable to the described biases.Originality/value – This paper provides a comprehensive review of ...

A primer on partial least squares structural equation modeling (PLS-SEM)

Abstract: With applications using SmartPLS (www.smartpls.com)—the primary software used in partial least squares structural equation modeling (PLS-SEM)—this practical guide provides concise instructions on how to use this evolving statistical technique to conduct research and obtain solutions. Featuring the latest research, new examples, and expanded discussions throughout, the Second Edition is designed to be easily understood by those with limited statistical and mathematical training who want to pursue research opportunities in new ways.

When to use and how to report the results of PLS-SEM

Abstract: The purpose of this paper is to provide a comprehensive, yet concise, overview of the considerations and metrics required for partial least squares structural equation modeling (PLS-SEM) analysis and result reporting. Preliminary considerations are summarized first, including reasons for choosing PLS-SEM, recommended sample size in selected contexts, distributional assumptions, use of secondary data, statistical power and the need for goodness-of-fit testing. Next, the metrics as well as the rules of thumb that should be applied to assess the PLS-SEM results are covered. Besides presenting established PLS-SEM evaluation criteria, the overview includes the following new guidelines: PLSpredict (i.e., a novel approach for assessing a model’s out-of-sample prediction), metrics for model comparisons, and several complementary methods for checking the results’ robustness.,This paper provides an overview of previously and recently proposed metrics as well as rules of thumb for evaluating the research results based on the application of PLS-SEM.,Most of the previously applied metrics for evaluating PLS-SEM results are still relevant. Nevertheless, scholars need to be knowledgeable about recently proposed metrics (e.g. model comparison criteria) and methods (e.g. endogeneity assessment, latent class analysis and PLSpredict), and when and how to apply them to extend their analyses.,Methodological developments associated with PLS-SEM are rapidly emerging. The metrics reported in this paper are useful for current applications, but must always be up to date with the latest developments in the PLS-SEM method.,In light of more recent research and methodological developments in the PLS-SEM domain, guidelines for the method’s use need to be continuously extended and updated. This paper is the most current and comprehensive summary of the PLS-SEM method and the metrics applied to assess its solutions.

Experimental And Quasi Experimental Designs For Research

Abstract: Thank you for reading experimental and quasi experimental designs for research. Maybe you have knowledge that, people have search numerous times for their favorite readings like this experimental and quasi experimental designs for research, but end up in malicious downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they cope with some infectious virus inside their laptop.

The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields (Chinese Translation)

Abstract: What makes organizations so similar? We contend that the engine of rationalization and bureaucratization has moved from the competitive marketplace to the state and the professions. Once a set of organizations emerges as a field, a paradox arises: rational actors make their organizations increasingly similar as they try to change them. We describe three isomorphic processes-coercive, mimetic, and normative—leading to this outcome. We then specify hypotheses about the impact of resource centralization and dependency, goal ambiguity and technical uncertainty, and professionalization and structuration on isomorphic change. Finally, we suggest implications for theories of organizations and social change.