Knowledge Spillover Effects: Impact of Export Learning Effects on Companies’ Innovative Activities

Трачук, А. В.; Линдер, Н. В.

doi:10.5772/intechopen.86255

Cited by 6 publications

(4 citation statements)

References 32 publications

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“…Organizations use effective human resource practices producing the pool of knowledge spillover for the company. The process of knowledge spillover occurs through communication, informal frequent interactions, direct and indirect ties, interactive culture, mutual consensus, guidance, commitment, team work, brainstorming and dialectical ways of interaction within the organization (Trachuk & Linder, 2019). The invariant role of human resource practices is grounded in the five defined levels of dimensions.…”

Section: Discussionmentioning

confidence: 99%

Role of Human Resource Practices in Knowledge Spillover: Study of Knowledge Hubs

Butt

2023

JISR-MSSE

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The aim of this study is to identify the significant role of HR practices in the knowledge spillover process that drives firm innovation and to ascertain doable HR- practices to accelerate this process. For data collection, semi-structured interviews were conducted. Interviews were transcribed. For analysis, phenomenology is used as a research methodology to cater the essence of the phenomenon (knowledge spillover process) by studying HR-managers lived experiences. Findings validated through subjective saturated evidence of informants. The results based on data analysis revealed that frequent employee interactions, cooperative work environment and participative leadership are considered as the essence of knowledge spillovers. Another objective is fulfilled as Training and development and Employee relations are the two major HR practices that facilitate the knowledge spillover process effectively. This research benefits both academicians and practitioners. For educationist, it propounded a conceptual framework that supports in theory enhancement. For practitioners, effective implementation of HR practices can open new avenues of success for organizations.

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Section: Discussionmentioning

confidence: 99%

Role of Human Resource Practices in Knowledge Spillover: Study of Knowledge Hubs

Butt

2023

JISR-MSSE

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“…Simultaneously, with the increase in market competition, product homogeneity gradually increases. Most industry products and technology have externalities; therefore, the knowledge spillover effects of industry products and technology are significant [77]. Enterprises can cooperate in innovations; however, this type of innovation does not involve a simple technology product restructuring or secondary innovation.…”

Section: Mechanism Processmentioning

confidence: 99%

Impact of Crisis on Sustainable Business Model Innovation—The Role of Technology Innovation

et al. 2022

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The transformation of old and new technologies, the normalized crisis situation, and global economic integration blur industrial boundaries and cause the business pattern to fluctuate and become unsustainable, especially when considering the impact of the COVID-19 pandemic. This study focuses on crisis situations and combines the types of technology innovation (introduction, socialization, and differentiation) and sustainable business model innovation (efficiency, novelty, and co-benefit innovations) to theoretically analyze the dynamic impact of technology innovation on different types of sustainable business model innovations. Using a multi-case comparative analysis method, typical enterprises are selected as the sample cases. This study discusses the influences of different technology innovation schemes on sustainable business model innovation in different crisis situations. Enterprises should consider introducing technology for rapid value updates to maintain an efficient business model in an urgent production factor crisis, search for valuable and scarce technical components or introduce other entities to facilitate technical cooperation and form a novel business model in a market environment crisis, and use big data, artificial intelligence, and other technologies to create co-benefit business model innovation in a business ethics crisis. The conclusion guides enterprises and provides a framework for the optimal technical scheme under the corresponding crisis.

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“…Empirical work testing for positive spillovers in innovation and discovery, the types of public goods that we focus on, found that “R&D spillovers are both prevalent and important” (Baldwin & Von Hippel, 2011; Griliches, 1992). These positive spillovers have been shown to have important effects on firms, increasing productivity (Czarnitzki & Kraft, 2012; Nagle, 2014), providing strategic advantages (Harhoff, Henkel, & Von Hippel, 2003), and building innovation capabilities (Altman, Nagle, & Tushman, 2014; Golovko & Valentini, 2014; Govindarajan & Ramamurti, 2011; Trachuk & Linder, 2019). Thus, there is good reason to believe that algorithm development could have positive spillovers, providing a country‐specific advantages for firms of that country (Mauri and de Figueiredo, 2017).…”

Section: Theory and Hypothesesmentioning

confidence: 99%

Building the algorithm commons: Who discovered the algorithms that underpin computing in the modern enterprise?

Thompson

Sherry

2020

Global Strategy Journal

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Research Summary The reach of the modern enterprise relies on the power of information technology (IT) tools such as sensors, databases, and machine learning. But tool improvements must be fueled by increased computing power (e.g., faster hardware) or getting more productivity from existing systems (e.g., through better computer algorithms). New research has uncovered that this second source, algorithm progress, is more important than previously realized—sometimes orders of magnitude more important than hardware—and thus could be an important technological stepping‐stone to give competitive advantage to a country's firms. Analyzing this “Algorithm Commons” reveals that the United States has been the largest contributor to algorithm progress, with universities and large private labs (e.g., IBM) leading the way, but that U.S. leadership has faded in recent decades. Managerial Summary Companies are increasingly tackling problems with big data and sophisticated analysis techniques (e.g., Machine Learning). To meet the increased computational demands of these approaches, the capability of computers must improve. One important technique for doing this is to redesign algorithms, the recipes that computers follow to perform calculations. As a result, firms that develop better algorithms, or get access to them first, can get important advantages over their competitors. This paper shows that it is U.S. corporations and U.S. universities that have produced most of the important algorithm improvements, and thus suggests that better algorithms may have been a source of advantage for U.S. multinationals.

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Knowledge Spillover Effects: Impact of Export Learning Effects on Companies’ Innovative Activities

Cited by 6 publications

References 32 publications

Role of Human Resource Practices in Knowledge Spillover: Study of Knowledge Hubs

Role of Human Resource Practices in Knowledge Spillover: Study of Knowledge Hubs

Impact of Crisis on Sustainable Business Model Innovation—The Role of Technology Innovation

Building the algorithm commons: Who discovered the algorithms that underpin computing in the modern enterprise?

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