Knowledge Management Process, Entrepreneurial Orientation, and Performance in SMEs: Evidence from an Emerging Economy

Ha, Shiaw Tong; Lo, May Chiun; Suaidi, M. K.; Mohamad, Abang Azlan; Razak, Zaidi

doi:10.3390/su13179791

Cited by 23 publications

(32 citation statements)

References 61 publications

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“…knowledge managers) and previous research in the KM field (i.e. Ha et al, 2021;Reich et al, 2014), we conceptualised KMPs as a composite construct. Our conceptualisation is in line with the definition of composites which are viewed as a mixture of ingredients (several processes in our case) that generate a recipe (composite) (Henseler and Schuberth, 2020;Schuberth, 2021).…”

Section: Methodsmentioning

confidence: 99%

The mediating role of knowledge management processes in the effective use of artificial intelligence in manufacturing firms

Leoni

Ardolino

Baz

et al. 2022

IJOPM

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PurposeThis paper aims to provide and empirically test a conceptual model in which artificial intelligence (AI), knowledge management processes (KMPs) and supply chain resilience (SCR) are simultaneously considered in terms of their reciprocal relationships and impact on manufacturing firm performance (MFP).Design/methodology/approachIn the study, six hypotheses have been developed and tested through an empirical survey administered to 120 senior executives of Italian manufacturing firms. The data analysis has been carried out via the partial least squares structural equation modelling approach, using the Advanced Analysis for Composites 2.0 variance-based software program.FindingsUsing a conceptual model validated using an empirical survey, the study sheds light on the relationships between AI, KMPs and SCR, as well as their impacts on MFP. In particular, the authors show the positive effects of the adoption of AI on KMPs, as well as the influence of KMPs on SCR and MFP. Finally, the authors demonstrate that KMPs act as a mediator through which AI affects SCR and MFP.Practical implicationsThis study highlights the critical role of KMPs for manufacturing firms that can deploy AI to stimulate KMPs and through attaining a high level of the latter might succeed in enhancing both their SCR and MFP.Originality/valueThis study demonstrates that manufacturing firms interested in properly applying AI to ameliorate their performance and resilience must carefully consider KMPs as a mediator mechanism.

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Section: Methodsmentioning

confidence: 99%

The mediating role of knowledge management processes in the effective use of artificial intelligence in manufacturing firms

Leoni

Ardolino

Baz

et al. 2022

IJOPM

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show abstract

“…Second, rather than weakening the financial incentives, knowledge workers are inspired to find answers to the challenges associated with knowledgerelated tasks (Razzaq et al, 2019). Knowledge management equips workers with information and a framework for problem-solving by allocating the appropriate resources to the right people at the right time (Ha et al, 2021). Third, the present research demonstrates that knowledge development may increase knowledgeable workers' happiness since the new creation may boost the worker's productivity.…”

Section: Hypothesis and Conceptual Modelmentioning

confidence: 71%

Do knowledge management systems motivate and satisfy the academic staff in higher education Institutions?

2022

JALT

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Higher education knowledge management has three goals: improving task quality and efficiency, training human resources at all operational levels, and expanding an organization's field knowledge base to enhance the organization's knowledge or intellectual investment. This research aimed to elucidate the effect of knowledge management on teaching motivation and academic staff satisfaction in Vietnamese universities. The purpose of this study is to establish a clear relationship between knowledge management and teaching motivation and academic staff satisfaction; three dimensions of knowledge management systems, namely knowledge acquisition, knowledge dissemination, and knowledge utilization, all of which contribute to increased teaching motivation and academic staff satisfaction when knowledge management systems are implemented. The quantitative research technique was utilized to gather data in this study by surveying 381 professors using a questionnaire. SPSS 22.0 and SmartPLS software were used to process data obtained via survey professors engaged in teaching. Managerial implications for knowledge management systems have been suggested to increase academic staff satisfaction and teaching motivation.

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“…Research on knowledge management has also studied the influence of knowledge acquisition and knowledge application on organizational performance nonetheless does not reach consistent conclusions. For example, Ha et al (2021) argued that knowledge acquisition and knowledge application both significantly improve organizational performance. However, the findings from Seleim and Khalil (2007) confirmed the positive impact of knowledge application on organizational performance, but the effect of knowledge acquisition is not supported.…”

Section: Research Backgroundmentioning

confidence: 99%

Knowledge is power: toward a combined model of knowledge acquisition and knowledge application of enterprises

Chen

Wang

Liu

et al. 2022

NBRI

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Purpose This paper aims to theoretically investigate a knowledge management model from the combined perspective of knowledge acquisition and knowledge application and its effect on organizational performance. Design/methodology/approach This study reviews prior research on knowledge acquisition and knowledge application, puts forward the concepts of “the extensiveness of knowledge acquisition” and “the concentration of knowledge application” and more importantly proposes an integrated model by combining these two dimensions. Four case examples of enterprises are subsequently described and analyzed to illustrate the sources of knowledge acquisition, the objects of knowledge application and their influences on organizational performance. Findings Four knowledge management modes and their impacts are confirmed in this study. Specifically, the organization of the turbojet engine mode (high extensiveness of knowledge acquisition and high concentration of knowledge application) can achieve good performance. The pipeline mode (high extensiveness of knowledge acquisition and low concentration of knowledge application) is the second, which has limited influence on good organizational performance. Organizations with the flashlight mode (low extensiveness of knowledge acquisition and high concentration of knowledge application) can achieve limited performance under the appropriate environment. The candle mode (low extensiveness of knowledge acquisition and low concentration of knowledge application) is the worst, performance of which is poor due to the break of the knowledge chain. Practical implications This paper holds that organizations should actively use the turbojet engine mode, adopt the pipeline mode and the flashlight mode cautiously, and avoid falling into the candle mode. Originality/value To the best of the authors’ knowledge, this study is among the first to propose the concepts of “the extensiveness of knowledge acquisition” and “the concentration of knowledge application,” and provides a combined model for analyzing differences in organizational performance from the perspective of knowledge.

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Knowledge Management Process, Entrepreneurial Orientation, and Performance in SMEs: Evidence from an Emerging Economy

Cited by 23 publications

References 61 publications

The mediating role of knowledge management processes in the effective use of artificial intelligence in manufacturing firms

The mediating role of knowledge management processes in the effective use of artificial intelligence in manufacturing firms

Do knowledge management systems motivate and satisfy the academic staff in higher education Institutions?

Knowledge is power: toward a combined model of knowledge acquisition and knowledge application of enterprises

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