Purpose: The evolution of the socio-cognitive structure of the field of knowledge management(KM) during the period 1986–2015 is described. Design/methodology/approach: Records retrieved from Web of Science were submi...Purpose: The evolution of the socio-cognitive structure of the field of knowledge management(KM) during the period 1986–2015 is described. Design/methodology/approach: Records retrieved from Web of Science were submitted to author co-citation analysis(ACA) following a longitudinal perspective as of the following time slices: 1986–1996, 1997–2006, and 2007–2015. The top 10% of most cited first authors by sub-periods were mapped in bibliometric networks in order to interpret the communities formed and their relationships.Findings: KM is a homogeneous field as indicated by networks results. Nine classical authors are identified since they are highly co-cited in each sub-period, highlighting Ikujiro Nonaka as the most influential authors in the field. The most significant communities in KM are devoted to strategic management, KM foundations, organisational learning and behaviour, and organisational theories. Major trends in the evolution of the intellectual structure of KM evidence a technological influence in 1986–1996, a strategic influence in 1997–2006, and finally a sociological influence in 2007–2015.Research limitations: Describing a field from a single database can offer biases in terms of output coverage. Likewise, the conference proceedings and books were not used and the analysis was only based on first authors. However, the results obtained can be very useful to understand the evolution of KM research.Practical implications: These results might be useful for managers and academicians to understand the evolution of KM field and to(re)define research activities and organisational projects.Originality/value: The novelty of this paper lies in considering ACA as a bibliometric technique to study KM research. In addition, our investigation has a wider time coverage than earlier articles.展开更多
Ecotechnology,quintessential for crafting sustainable socio-environmental strategies,remains tantalizingly uncharted.Our analysis,steered by the nuances of machine learning and augmented by bibliometric insights,delin...Ecotechnology,quintessential for crafting sustainable socio-environmental strategies,remains tantalizingly uncharted.Our analysis,steered by the nuances of machine learning and augmented by bibliometric insights,delineates the expansive terrain of this domain,elucidates pivotal research themes and conundrums,and discerns the vanguard nations in this field.Furthermore,we deftly connect our discoveries to the United Nations'2030 Sustainable Development Goals,thereby accentuating the profound societal ramifications of ecotechnology.展开更多
文摘Purpose: The evolution of the socio-cognitive structure of the field of knowledge management(KM) during the period 1986–2015 is described. Design/methodology/approach: Records retrieved from Web of Science were submitted to author co-citation analysis(ACA) following a longitudinal perspective as of the following time slices: 1986–1996, 1997–2006, and 2007–2015. The top 10% of most cited first authors by sub-periods were mapped in bibliometric networks in order to interpret the communities formed and their relationships.Findings: KM is a homogeneous field as indicated by networks results. Nine classical authors are identified since they are highly co-cited in each sub-period, highlighting Ikujiro Nonaka as the most influential authors in the field. The most significant communities in KM are devoted to strategic management, KM foundations, organisational learning and behaviour, and organisational theories. Major trends in the evolution of the intellectual structure of KM evidence a technological influence in 1986–1996, a strategic influence in 1997–2006, and finally a sociological influence in 2007–2015.Research limitations: Describing a field from a single database can offer biases in terms of output coverage. Likewise, the conference proceedings and books were not used and the analysis was only based on first authors. However, the results obtained can be very useful to understand the evolution of KM research.Practical implications: These results might be useful for managers and academicians to understand the evolution of KM field and to(re)define research activities and organisational projects.Originality/value: The novelty of this paper lies in considering ACA as a bibliometric technique to study KM research. In addition, our investigation has a wider time coverage than earlier articles.
基金.Ricardo Ruíz-Sanchez was partially supported by the UNAM-DGAPA postdoctoral fellowship program。
文摘Ecotechnology,quintessential for crafting sustainable socio-environmental strategies,remains tantalizingly uncharted.Our analysis,steered by the nuances of machine learning and augmented by bibliometric insights,delineates the expansive terrain of this domain,elucidates pivotal research themes and conundrums,and discerns the vanguard nations in this field.Furthermore,we deftly connect our discoveries to the United Nations'2030 Sustainable Development Goals,thereby accentuating the profound societal ramifications of ecotechnology.
