Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/275414 
Year of Publication: 
2022
Citation: 
[Journal:] Administrative Sciences [ISSN:] 2076-3387 [Volume:] 12 [Issue:] 4 [Article No.:] 144 [Year:] 2022 [Pages:] 1-18
Publisher: 
MDPI, Basel
Abstract: 
In recent years, the knowledge management approach of the firm has emerged as the central theoretical perspective intended to address the question of adaptation to technological change. As for theoretical and practical implications, we proposed a comprehensive model that provides an integrative outlook on how the relationships between digitalization and knowledge management strategy predetermine the business results of the firm. To this purpose, we empirically analyzed the effect of digitalization on knowledge management, and how this contributes to the improvement of the company's results in the IT, technology, consulting, and programming sectors by testing the hypotheses through the Partial Least Squares (PLS) approach to Structural Equation Modeling (SEM). A group of 620 companies was targeted for collecting the data by quantitative means of analysis-a questionnaire. The final sample was composed of 78 companies, which corresponds to 12.58% (response rate). The research findings offer an explicit foundation, on which to base future research efforts in evaluating the ways companies should approach digital transformation, strengthen the knowledge management role in this process, develop the digital and innovation capabilities, and finally, ameliorate the effects on business performance, what also represents a certain value for the executives or individuals in the workplace.
Subjects: 
business performance
consultancy firms
digitalization
innovation capabilities
knowledge management strategy
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Appears in Collections:

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.