Personal and social proximity empowering collaborations: the glue of knowledge networks

Ooms, Ward; Werker, Claudia; Caniëls, Marjolein C.J.

doi:10.1080/13662716.2018.1493983

Cited by 23 publications

(20 citation statements)

References 22 publications

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“…Control variables. In order to avoid the influence from other factors, firm size, industry type and time of establishment were selected as control variables with reference to relevant studies [31], [41].…”

Section: B Common Methods Bias Testingmentioning

confidence: 99%

“…At the same time, the embedded characteristics of the relationship with external knowledge sources cannot be ignored [11]. The concept of social proximity is derived from embeddedness theory and focuses on describing the proximity of partners in the social embeddedness dimension [31], reflecting the social embeddedness between partners based on trust and reciprocity. Higher social proximity between alliance partners tends to imply a high level of relationship quality between the parties.…”

Section: The Moderating Effect Of Social Proximitymentioning

confidence: 99%

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How Does Proximity Affect the Dual Innovation of Alliance Partner? The Role of Knowledge Coupling

2022

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Recent work on alliance partner selection focuses on the relationship between partner features and alliance performance, while ignoring the influence mechanism of alliance partner features on different innovation types of firms. In this paper, based on proximity perspective, the influence mechanism model of alliance partner features on firms' dual innovation is constructed. Analyzing questionnaires and patent data of high-tech firms, it is found that (1) Technological proximity (TP) has a positive impact on focal firms' exploratory innovation (EXR) and exploitative innovation (EXI); (2) Knowledge coupling (KC) mediates the relationship between TP and dual innovation; (3) Social proximity (SP) positively moderates the relationship between TP and dual innovation, and positively moderates the relationship between TP and KC; Meanwhile, (4) there is a moderating effect of different levels of SP on the magnitude of the mediating effect of KC. By constructing a theoretical framework based on "proximity --knowledge coupling --dual innovation", this paper is helpful to draw scholars' attention to the relationship between proximity and dual innovation, and provide theoretical reference for firms to select alliance partners reasonably and efficiently.

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Section: B Common Methods Bias Testingmentioning

confidence: 99%

Section: The Moderating Effect Of Social Proximitymentioning

confidence: 99%

How Does Proximity Affect the Dual Innovation of Alliance Partner? The Role of Knowledge Coupling

2022

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“…Grilli et al (2018) consider social networks as a part of social capital. Ooms et al (2018) show the importance of multiple informal relationships in innovative collaboration. Vermeulen and Pyka (2018) refer to spatial issues of network organization as a source of knowledge generation.…”

Section: Microeconomicmentioning

confidence: 97%

Social Networks as a Tool for Leadership in Entrepreneurship Ecosystem

Симонова¹,

Popov²,

Комарова³

2019

Proceedings of the 5th International Conference on Social, Economic, and Academic Leadership (ICSEALV 2019)

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In the spread of digital technologies, the development of entrepreneurship ecosystems based on social networks is considered to be a business development strategy contributing to the achievement of market leadership. The value of entrepreneurship ecosystems development is determined by the effects of using social networks.Our paper shows that the effects of using social networks may occur at different levels and may also be both positive and negative. At the microeconomic level using social media expands markets for products though causing an increase in competition among companies. Networking at the meso-economic level is a positive effect; however, there is a shift in industry proportions in the economy towards the services sector. And, finally, at the macroeconomic level using social media encourages the development of the domestic market, but this is accompanied by an increase in costs of control and maintenance of economic institutions. In addition, the strategy for the development of entrepreneurship ecosystems is to consider a regional and content differentiation of social networks. Furthermore, our paper analyzes a regional differentiation of social networks markets considering certain global and national features of their development. The analysis of a content differentiation included studying the development of field-specific sites of social networks.

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“…A personal network is the social relationships associated with the sharing of knowledge and resources capable of making a business grow, or recover after a crisis, and can be measured through social capital, an essential element of open innovation [22,60]. Ooms et al [66] believe that geographical proximity, institutional proximity, and cognitive and social proximity can be determinant factors in building a network. Other authors go further and affirm that "friendship is viewed as the ultimate level of relationship in the trusted network" in a business context [67] (p. 4).…”

Section: Personal Networkmentioning

confidence: 99%

Revisiting Small- and Medium-Sized Enterprises’ Innovation and Resilience during COVID-19: The Tourism Sector

Dias

Cunha

Pereira

et al. 2022

Journal of Open Innovation: Technology, Market, and Complexity

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Every day, companies are exposed to various risks arising from their environment, and small and medium enterprises (SMEs) are the most affected. This study emphasizes innovation and resilience as the starting points to understand how SMEs are influenced by external factors which are independent of the managers’ will. To date, we have seen several extreme factors that have conditioned businesses and entrepreneurs of these types of companies, such as the financial crisis of 2008. However, last year, in 2020, we saw the beginning of a worldwide pandemic: COVID-19. Thus, this research seeks to understand the extent to which this pandemic influenced the resilience and innovation of SMEs in the tourism area. Thus, eight hypotheses were raised based on four independent variables: access to finance, risk taking, working conditions, and personal network. The study of these variables was developed from an online questionnaire and in-depth interviews. After analyzing the results, it is possible to infer that the COVID-19 pandemic resulted in consequences never observed in previous crises, to such an extent that the study showed that: (1) a company’s network positively influences its resilience; (2) risk taking influences innovation and resilience of these SMEs.

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Personal and social proximity empowering collaborations: the glue of knowledge networks

Cited by 23 publications

References 22 publications

How Does Proximity Affect the Dual Innovation of Alliance Partner? The Role of Knowledge Coupling

How Does Proximity Affect the Dual Innovation of Alliance Partner? The Role of Knowledge Coupling

Social Networks as a Tool for Leadership in Entrepreneurship Ecosystem

Revisiting Small- and Medium-Sized Enterprises’ Innovation and Resilience during COVID-19: The Tourism Sector

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