Empowering IT Organizations Through a Confluence of Knowledge for Value Integration into the IT Services Firm’s Business Model

Badr, Nabil Georges

doi:10.1007/978-3-030-15640-4_17

Cited by 1 publication

(2 citation statements)

References 59 publications

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“…Afterward, SIC (Hypothesis H4-a1) and HCC (Hypothesis H7-a1) are in the next size of the influence rank, which is confirmed by the studies of Teece, (2018). In the next ranks, the MDC (Hypothesis H5-a1) in line with studies conducted by Schoemaker et al (2018), CHC (H2-a1 Hypothesis) in line with studies by Andren et al (2003) and KAC (Hypothesis H1-a1) in line with studies by Badr (2019) andM€ uller et al (2020).…”

Section: Discussionsupporting

confidence: 56%

“…The use of knowledge-based capabilities and resources, as a result of creating value, leads to better findings from BM and increases its efficiency (Ujwary-Gil, 2017). Badr (2019) believes that KIFs, by introducing new information technologies (IT) to the BM, provide the basis for BMI. For instance, the ability to acquire external knowledge can affect the innovation and redesign of the BM (Müller et al , 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

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The role of dynamic capability on a business model in knowledge-intensive firms

Naeini

Ahmadkalaei

2021

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PurposeThe purpose of this paper is to identify the dynamic capabilities (DCs) affecting the business models (BMs) in knowledge-intensive firms (KIFs). This paper also examines how much these DCs affect the BMs.Design/methodology/approachThe research methodology included examining a research framework based on a literature review followed by a survey of KIFs. A sample of 214 KIFs was obtained and structured equation modeling analysis using two-stage partial least squares–artificial neural network approach was conducted to test the proposed hypotheses.FindingsThis study shows that managerial, innovation, intellectual capital, information technology, integration and knowledge-based DCs influence the BM in KIFs. The results indicate that “the human development” aspect of managerial DC has the most significant impact on the BM efficiency, and innovation DC has the greatest influence on BM innovation.Practical implicationsIdentifying DCs affecting the BM in KIFs provides practical results for managers and researchers in KIFs.Originality/valueThe present research uses for the first time a PLS–ANN approach in identifying the affecting DCs the BM in KIFs; examines its impact on the efficiency and innovation aspects of the BM; and enriches the literature on DCs and the BM, especially in the field of KIF.

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