Evaluation criteria development and assessment of purchasing and supply management journals

Abstract Although purchasing and supply management (PSM) is a business function that is critical to supply chain management, a direct examination of the academic journals representing leading PSM research outlets has not been available. Further, most prior studies that compare journals have relied on single-item measures of such evaluation dimensions as quality and relevance. In order to address these research gaps, a survey instrument targeted to purchasing and supply management academics was implemented to explore how they evaluate and rate journals considered important for advancing the field of PSM. The three highest-rated journals in this study that publish PSM research are the Journal of Operations Management , the Journal of Business Logistics , and the Journal of Supply Chain Management . Four journal evaluation constructs emerged: Journal Quality , Journal Reputation , PSM Practitioner Relevance , and PSM Research Relevance . The results provide guidance for PSM scholars with respect to journals that contribute to the knowledge base in PSM, as well as support an extended understanding of conceptual bases for how scholars evaluate the journals they read and in which they publish.

[1]  R. Pieters,et al.  The Structural Influence of Marketing Journals: A Citation Analysis of the Discipline and its Subareas over Time , 2003 .

[2]  Robert J. Vokurka,et al.  The empirical assessment of construct validity , 1998 .

[3]  David W. Gerbing,et al.  A Comparison of Two Alternate Residual Goodness‑of‑Fit Indices , 1985 .

[4]  Gilbert A. Churchill A Paradigm for Developing Better Measures of Marketing Constructs , 1979 .

[5]  J. Hunter,et al.  On the Assessment of Unidimensional Measurement: Internal and External Consistency, and Overall Consistency Criteria , 1987 .

[6]  R. Calantone,et al.  The Impact of Market Knowledge Competence on New Product Advantage: Conceptualization and Empirical Examination , 1998 .

[7]  Dennis Child,et al.  The essentials of factor analysis , 1970 .

[8]  Janet G. Hamilton,et al.  The surprising viability of a simple alternate estimation procedure for construction of large‐scale structural equation measurement models , 1994 .

[9]  Paul E. Spector Summated rating scale construction , 1991 .

[10]  V. Grover,et al.  An assessment of survey research in POM: from constructs to theory , 1998 .

[11]  Michael H. Kutner Applied Linear Statistical Models , 1974 .

[12]  Jae-On Kim,et al.  Factor Analysis: Statistical Methods and Practical Issues , 1978 .

[13]  A. Soteriou,et al.  Assessing production and operations management related journals: the European perspective , 1999 .

[14]  J. Scott Armstrong,et al.  Estimating nonresponse bias in mail surveys. , 1977 .

[15]  G. Hult,et al.  Faculty Perceptions of Marketing Journals , 1997 .

[16]  J. Meredith,et al.  Alternative research paradigms in operations , 1989 .

[17]  C Loehlin John,et al.  Latent variable models: an introduction to factor, path, and structural analysis , 1986 .

[18]  David R. Heise,et al.  VALIDITY, INVALIDITY, AND RELIABILITY , 1970 .

[19]  Zach G. Zacharia,et al.  DEFINING SUPPLY CHAIN MANAGEMENT , 2001 .

[20]  H. Harman Modern factor analysis , 1961 .

[21]  Craig R. Carter ASSESSING LOGISTICS AND TRANSPORTATION JOURNALS : ALTERNATIVE PERSPECTIVES , 2002 .

[22]  James C. Anderson,et al.  Some Methods for Respecifying Measurement Models to Obtain Unidimensional Construct Measurement , 1982 .

[23]  J. Hanna,et al.  PERIODICAL USEFULNESS: THE U.S. LOGISTICS EDUCATOR PERSPECTIVE , 2003 .

[24]  D. Dillman Mail and internet surveys: The tailored design method, 2nd ed. , 2007 .

[25]  David W. Gerbing,et al.  A Large-scale Second-order Structural Equation Model of the Influence of Management Participation on Organizational Planning Benefits , 1994 .

[26]  Robert F. DeVellis,et al.  Scale Development: Theory and Applications. , 1992 .

[27]  James C. Anderson,et al.  The effect of sampling error on convergence, improper solutions, and goodness-of-fit indices for maximum likelihood confirmatory factor analysis , 1984 .

[28]  Larry Hatcher,et al.  A Step-by-Step Approach to Using the SAS System for Factor Analysis and Structural Equation Modeling , 1994 .

[29]  S. Barman,et al.  Discipline note Perceived relevance and quality of POM journals: a decade later , 2001 .

[30]  David W. Gerbing,et al.  An Updated Paradigm for Scale Development Incorporating Unidimensionality and Its Assessment , 1988 .

[31]  W. Bennis,et al.  How business schools lost their way. , 2005, Harvard business review.

[32]  Paul Kline,et al.  An easy guide to factor analysis , 1993 .

[33]  George W. Bohrnstedt,et al.  Chapter 3 – Measurement1 , 1983 .

[34]  R. J. Tersine,et al.  An empirical assessment of the perceived relevance and quality of POM-related journals by academicians , 1991 .

[35]  James C. Anderson,et al.  STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .

[36]  Edward G. Carmines,et al.  Reliability and Validity Assessment , 1979 .

[37]  James D. Wright,et al.  Handbook of Survey Research. , 1985 .

[38]  Lisa M. Ellram,et al.  Thirty‐Rve Years of The Journal of Supply Chain Management: Where Have We Been and Where are We Going? , 2003 .