Tomaž Čater

Bio: Tomaž Čater is an academic researcher from University of Ljubljana. The author has contributed to research in topics: Competitive advantage & Loyalty business model. The author has an hindex of 11, co-authored 20 publications receiving 2322 citations. Previous affiliations of Tomaž Čater include University of Ljubljana, Faculty of Economics.

Bibliometric Methods in Management and Organization

Abstract: We aim to develop a meaningful single-source reference for management and organization scholars interested in using bibliometric methods for mapping research specialties. Such methods introduce a measure of objectivity into the evaluation of scientific literature and hold the potential to increase rigor and mitigate researcher bias in reviews of scientific literature by aggregating the opinions of multiple scholars working in the field. We introduce the bibliometric methods of citation analysis, co-citation analysis, bibliographical coupling, co-author analysis, and co-word analysis and present a workflow for conducting bibliometric studies with guidelines for researchers. We envision that bibliometric methods will complement meta-analysis and qualitative structured literature reviews as a method for reviewing and evaluating scientific literature. To demonstrate bibliometric methods, we performed a citation and co-citation analysis to map the intellectual structure of the Organizational Research Methods j...

Bibliometric Methods in Management and Organization

Abstract: We aim to develop a meaningful single-source reference for management and organization scholars interested in using bibliometric methods for mapping research specialties. Such methods introduce a measure of objectivity into the evaluation of scientific literature and hold the potential to increase rigor and mitigate researcher bias in reviews of scientific literature by aggregating the opinions of multiple scholars working in the field. We introduce the bibliometric methods of citation analysis, co-citation analysis, bibliographical coupling, co-author analysis, and co-word analysis and present a workflow for conducting bibliometric studies with guidelines for researchers. We envision that bibliometric methods will complement meta-analysis and qualitative structured literature reviews as a method for reviewing and evaluating scientific literature. To demonstrate bibliometric methods, we performed a citation and co-citation analysis to map the intellectual structure of the Organizational Research Methods journal.

Relationship‐value‐based antecedents of customer satisfaction and loyalty in manufacturing

Abstract: Purpose – The paper's purpose is to broaden knowledge of customer satisfaction and loyalty in business‐to‐business markets.Design/methodology/approach – The authors propose and test a model in which customer satisfaction is conceived as mediating the relationship between the elements of relationship value (price, product quality, delivery performance, supplier know‐how, time‐to‐market, service support and personal interaction) and attitudinal and behavioural customer loyalty. The empirical analysis uses structural equation modelling and is based on 477 customer‐supplier relationships in the manufacturing context.Findings – The results show that satisfaction is negatively affected by price and positively by delivery performance, supplier know‐how and personal interaction. On the other hand, satisfaction positively influences behavioural and attitudinal loyalty. In addition, behavioural loyalty is also negatively affected by price and positively by product quality, while attitudinal loyalty is positively af...

The influence of training and training transfer factors on organisational learning and performance

Abstract: Purpose – The study aims to contribute to the training‐related literature by investigating the relationship between training and training transfer factors and company‐level training outcomes, and the relationship between the latter and company performance.Design/methodology/approach – The authors propose and test a model linking constructs related to training (the volume and quality of training, supervisor support, peer support, and organisational incentives), constructs related to company‐level training outcomes (the acquisition and interpretation of information, and cognitive and behavioural changes) and company performance. In the empirical analysis the authors use structural equation modelling based on a sample of 247 service companies.Findings – The study confirms a strong relationship between supervisor support and the volume and quality of training as well as between supervisor support and organisational incentives for training transfer. Organisational incentives are directly related to both studie...

The knowledge-creating company : how Japanese companies create the dynamics of innovation

Abstract: How has Japan become a major economic power, a world leader in the automotive and electronics industries? What is the secret of their success? The consensus has been that, though the Japanese are not particularly innovative, they are exceptionally skilful at imitation, at improving products that already exist. But now two leading Japanese business experts, Ikujiro Nonaka and Hiro Takeuchi, turn this conventional wisdom on its head: Japanese firms are successful, they contend, precisely because they are innovative, because they create new knowledge and use it to produce successful products and technologies. Examining case studies drawn from such firms as Honda, Canon, Matsushita, NEC, 3M, GE, and the U.S. Marines, this book reveals how Japanese companies translate tacit to explicit knowledge and use it to produce new processes, products, and services.

Structural Equation Modeling

Abstract: Structural equation modeling (SEM) is a multivariate statistical framework that is used to model complex relationships between directly observed and indirectly observed (latent) variables. SEM is a general framework that involves simultaneously solving systems of linear equations and encompasses other techniques such as regression, factor analysis, path analysis, and latent growth curve modeling. Recently, SEM has gained popularity in the analysis of complex genetic traits because it can be used to better analyze the relationships between correlated variables (traits), to model genes as latent variables as a function of multiple observed genetic variants, and to assess the association between multiple genetic variants and multiple correlated phenotypes of interest. Though the general SEM framework only allows for the analysis of independent observations, recent work has extended SEM for the analysis of data on general pedigrees. Here, we review the theory of SEM for both unrelated and family data, describe the available software for SEM, and provide examples of SEM analysis.

Fuzzy-Set Social Science

Abstract: In this innovative approach to the practice of social science, Charles Ragin explores the use of fuzzy sets to bridge the divide between quantitative and qualitative methods. Paradoxically, the fuzzy set is a powerful tool because it replaces an unwieldy, "fuzzy" instrument—the variable, which establishes only the positions of cases relative to each other, with a precise one—degree of membership in a well-defined set. Ragin argues that fuzzy sets allow a far richer dialogue between ideas and evidence in social research than previously possible. They let quantitative researchers abandon "homogenizing assumptions" about cases and causes, they extend diversity-oriented research strategies, and they provide a powerful connection between theory and data analysis. Most important, fuzzy sets can be carefully tailored to fit evolving theoretical concepts, sharpening quantitative tools with in-depth knowledge gained through qualitative, case-oriented inquiry. This book will revolutionize research methods not only in sociology, political science, and anthropology but in any field of inquiry dealing with complex patterns of causation.