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1 – 4 of 4Ranjan Chaudhuri, Gitesh Chavan, Suniti Vadalkar, Demetris Vrontis and Vijay Pereira
The purpose of this paper is to accomplish a bibliometric analysis, investigate the underlying knowledge structure, founding and development, and evolution of the Journal of…
Abstract
Purpose
The purpose of this paper is to accomplish a bibliometric analysis, investigate the underlying knowledge structure, founding and development, and evolution of the Journal of Knowledge Management (JKM) through its articles published between 1997 and 2020.
Design/methodology/approach
A total of 1,346 research papers from JKM were selected and VantagePoint® software was used to generate bubble maps, auto-correlation maps, and matrix maps through techniques such as principal component analysis (PCA) and natural language processing (NLP). The analysis gives insights about the foundation of knowledge structure, its evolution and the development of JKM.
Findings
The systematic mapping of research illustrates topics emerging as new offshoots, global favourites, saturated and plateaued and reached academic maturity. The USA, the UK, Australia, Spain, Italy, China, Canada, Germany, and France have contributed the most to JKM. This paper provides a robust roadmap for future research investigation of JKM.
Research limitations/implications
The authors humbly admit the possibility of overlooking some research papers while evaluating and filtering the database of JKM. The research outcome summarizes 23 years, subject to information retrieval from archival files.
Practical implications
This research is a detailed bibliometric analysis explaining paradigm shifts in the body of knowledge of JKM. The bibliometric outcomes can act as beacons for future researchers and academicians to revisit the current trends that shape the domain of knowledge management, particularly for the JKM audience with a focus on contemporary topics of research interest.
Originality/value
This is a unique endeavour to accomplish a systematic bibliometric analysis of the JKM for two decades, offering insights about its structural body of knowledge through an overview of the chronology of scholarly development in the field of knowledge management.
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Gitesh Chavan, Ranjan Chaudhuri, Wesley J. Johnston and Benjamin Garner
This paper aims to empirically validate an integrated model, combining fuzzy analytical hierarchy processing and quality function deployment, used to construct a purchasing…
Abstract
Purpose
This paper aims to empirically validate an integrated model, combining fuzzy analytical hierarchy processing and quality function deployment, used to construct a purchasing performance (PP) matrix for engineering procurement and construction companies (EPCs). The relationship is established by linking internal customer needs (“whats”; product-related factors), with engineering requirements (“hows”; buyer-related factors [BRFs] and organization-related factors). Three different of buying types are included: new task, straight rebuy and modified rebuy.
Design/methodology/approach
The paper uses qualitative and quantitative techniques to determine the factors affecting PP and the extent of their influence. Evaluation of the factors affecting the PP of EPC companies is based on 32 industry experts’ opinions, supported by the academic literature.
Findings
The most significant finding is that researchers should explicitly consider BRFs like buyer knowledge, which has been missing in earlier PP models. BRFs appear to be a link between different types of buying; ignoring their importance can lead to less optimized PP and erroneous findings.
Originality/value
This research is unique, as PP models of EPC firms have neither been published nor validated empirically, either nationally or internationally. This exploratory study adds to the body of knowledge both by identifying the emerging factors that constitute the construct of the PP of EPCs and by filling the gap between theory and practice concerning an evaluation of the PP of EPCs. Theoretical and practical implications are discussed.
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Gitesh Dhairyashilrao Chavan, Ranjan Chaudhuri and Wesley J. Johnston
The purpose of this paper is to investigate the underlying knowledge structure and evolution of industrial-buying research published between 1965 and 2015.
Abstract
Purpose
The purpose of this paper is to investigate the underlying knowledge structure and evolution of industrial-buying research published between 1965 and 2015.
Design/methodology/approach
Bibliometric analysis is performed on 357 relevant papers (using principal component analysis and natural language processing, using VantagePoint® tools, used to generate bubble maps, auto-correlation maps and Aduna cluster maps), demonstrating how various factors involved in industrial buying have evolved, their degree of correlation with each other and the interrelationships of multiple factors concerning their co-occurrences.
Findings
The systematic mapping of industrial-buying research would illustrate the development of the significant factors in industrial-buying research. This paper provides both a global perspective on the leading countries and journals in the field and a robust roadmap for further investigation in this field.
Research limitations/implications
This paper is limited to the data considered for analysis and may, therefore, overlook or underestimate some work that has not been captured while filtering databases related to industrial buying.
Practical implications
This paper facilitates near-future projection and trend analysis in industrial-buying research.
Originality/value
The methodology used is unique to the field of business-to-business marketing.
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Suniti Vadalkar, Gitesh Chavan, Ranjan Chaudhuri and Demetris Vrontis
Amidst the plethora of mass communication methods that technology bestowed business with, print advertisements still remain an effective and widely utilized advertising tool, and…
Abstract
Purpose
Amidst the plethora of mass communication methods that technology bestowed business with, print advertisements still remain an effective and widely utilized advertising tool, and retain a diachronically venerable position in international marketing practice. Bar and transcending mere academic fascination or curiosity, this research provides insights into the past, an understanding of the present and an outlook into the future. In this vein, through a methodical and comprehensive critical review of extant literature on print advertisements since 1965, this research aims to identify gaps in extant knowledge, to map its trends and divergences, to trace its paradigm shifts and to ultimately develop agendas for truly significant future research.
Design/methodology/approach
This spatial-temporal study reviews 256 methodically selected articles, using VantagePoint software, and adopts a novel methodology through natural language processing (NLP), text mining, auto-correlation maps, and bubble maps to conduct and present a robust analysis and explicit findings.
Findings
Using also the VOSviewer for density and network visualization, the results identify the predominant literature themes and, conversely, the relatively under-researched areas, and provide a more insightful collective interpretation of extant works, while laying the foundation for future research of greater value and significance to academia and industry.
Originality/value
This study transcends the partial and/or limited analyses and perspectives of extant literature to present scholars with the first comprehensive and long term meta-analysis or systematic study of print advertising, with explicit findings of both scholarly and executive worth.
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