<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Performance management, as a systematic and continuous process of planning, measuring and improving performance, is an important endeavor for any organization, regardless of being private or public. To understand the current state of research on performance management, a comprehensive bibliometric study was conducted. This paper aims to provide a co-occurrence analysis to identify and explore clusters, prevailing and emerging themes, and future research directions. For this purpose data was collected from the WoS database and processed with VOSviewer and Microsoft Excel. The paper contains visual representations of clusters, keywords and their relationships, as well as an analysis of the novelty of the concepts. Based on the average published year (APY), the hottest keywords identified are Covid-19 (APY: 2021), followed by Industry 4.0 (APY: 2020.17), together with other 4IR tools (big data analytics, big data, machine learning, artificial intelligence, cloud, Iot, etc.). Resulting from the analysis of concepts with APY after 2017, in terms of their representativeness (occurrence), links, and total link strengths (TLS) with other items from the map, three concepts significantly emerged: framework (Cluster 1); public sector (Cluster 3); sustainability (Cluster 4). Based on the overall findings, new research directions were proposed.</p>
</abstract>

Performance management, as a systematic and continuous process of planning, measuring and improving performance, is an important endeavor for any organization, regardless of being private or public. To understand the current state of research on performance management, a comprehensive bibliometric study was conducted. This paper aims to provide a co-occurrence analysis to identify and explore clusters, prevailing and emerging themes, and future research directions. For this purpose data was collected from the WoS database and processed with VOSviewer and Microsoft Excel. The paper contains visual representations of clusters, keywords and their relationships, as well as an analysis of the novelty of the concepts. Based on the average published year (APY), the hottest keywords identified are Covid-19 (APY: 2021), followed by Industry 4.0 (APY: 2020.17), together with other 4IR tools (big data analytics, big data, machine learning, artificial intelligence, cloud, Iot, etc.). Resulting from the analysis of concepts with APY after 2017, in terms of their representativeness (occurrence), links, and total link strengths (TLS) with other items from the map, three concepts significantly emerged: framework (Cluster 1); public sector (Cluster 3); sustainability (Cluster 4). Based on the overall findings, new research directions were proposed.

Exploring the Dynamic Landscape of Performance Management: A Bibliometric Analysis of Emerging Trends

Studies in Business and Economics

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Performance management, as a systematic and continuous process of planning, measuring and improving performance, is an important endeavor for any organization,...

Exploring the Dynamic Landscape of Performance Management: A Bibliometric Analysis of Emerging Trends

Pubblicato online: 15 mag 2023

Pagine: 342 - 366

DOI: https://doi.org/10.2478/sbe-2023-0019

Parole chiave
Covid-19, Industry 4.0, framework, performance management, sustainability

© 2023 Andra-Teodora Gorski et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Exploring the Dynamic Landscape of Performance Management: A Bibliometric Analysis of Emerging Trends

Pubblicato online: 15 mag 2023

Pagine: 342 - 366

DOI: https://doi.org/10.2478/sbe-2023-0019

Parole chiaveCovid-19, Industry 4.0, framework, performance management, sustainability

© 2023 Andra-Teodora Gorski et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Parole chiave
Covid-19, Industry 4.0, framework, performance management, sustainability