Development of proximity in cluster organizations

Abstract

Sustainable development in cluster organizations (COs) is most fully manifested in the synergy effect. In turn, the synergy effect is achieved thanks to the development of proximity among cluster entities. The purpose of the paper is to test two conceptual models reflecting relations between selected dimensions of proximity in cluster organizations. The author reports the findings of a quantitative study conducted in four COs. The basic technique for collecting data was an online questionnaire. Both theoretical models were tested using Structural Equation Modelling.The research goes beyond the state-of-the-art knowledge in the concept of industrial cluster by exposing a broader view on cluster cooperation, which is developed on the basis of geographical proximity, and simultaneously contributes to the development of proximity in other dimensions: social, competence and organizational.

How social media use enhances salesperson performance

“…Strong social proximity can foster the development of creativity by establishing a climate of trust and support (Krackhardt, 1992). As Lis (2020, p. 118) notes, social proximity – which was previously underestimated – is currently the second most important dimension of proximity in terms of the number of studies published. The approach to social proximity that we subscribe to is more cognitive than behavioral (Kelley et al , 1983).…”

Distant but close: Locational, relational and temporal proximity in cloud computing adoption

“…Proximity literature often refers to geographical proximity defined as the 'linear distance between people' (Monge et al, 1985(Monge et al, , p.1130 or 'geographic closeness' (O'Leary et al, 2014(O'Leary et al, , p.1219. Research highlights the ambiguity and paradox in such measures (Lis, 2020) which can be subjective for individuals (e.g., co-located staff can feel 'distant' from each other) (Wilson 2008) where perception of distance is cultural (Mola and Carugati, 2017). Given that geographical distance is less relevant to cloud than other dimensions related to location (such as network latency and bandwidth, power sources, laws, travel possibilities, meeting venues etc), so we subsume such geography into the broader analysis of 'locationality'.…”

“…The literature also notes the similar importance of various past structures (institutions, technological lock-in, norms of behaviour, ties of past personal experience) on proximity (Boschma, 2005a(Boschma, , 2005bLis, 2020), whereas others highlight temporal features such as overlapping working hours and timezones (O'Leary and Cummings 2007). Cloud adoption, with its emphasis on radical change, on transformation, and on the new, alongside a focus on speed and access, thus calls for a focus on temporality.…”

Production Strategy Selection Based on Diagnostics of the Economic Potential of an Industrial Enterprise

“…In particular, it is possible to highlight the strategic emphasis (Kaletnik et al, 2011), the emphasis of state influence on the formation of the economic potential of the industrial complex (Savchenko, 2015), the emphasis on measuring the regional economic potential (Shcherbakova, 2018), but this does not change the general resource vision of the studied category. In modern conditions of neo-industrialization, the prospects for the growth of the economic potential of industrial enterprises are associated with:  An increase in the effectiveness of partnerships, including with participation in industrial clusters (Lis, 2020;Rastvortseva, 2014;Tinyakova et al, 2020), with an increase in the level of concentration of production in the region (Nurlanova, 2017), with an increase in the productivity of interaction of industrial enterprises with universities (Johnston and Wells, 2020), anchor entrepreneurs (Ferriani et al, 2020) and other subjects of the innovation environment (Doroshenko et al, 2019), with an increase in the degree of integration of enterprises in supply chains and an increase in the satisfaction of partners (Minovski et al, 2021), with the intensification of export activities (Cai et al, 2020) and import substitution (Smirnov et al, 2019), with an increase in the integration climate of countries (Starikova et al, 2018);  An increase in the efficiency of the use of resources, including non-renewable ones (Ferrannini et al, 2020), which is achieved based on digital transformation (van Tonder et al, 2020), the introduction of technological innovations into production (Li et al, 2020), improving the quality of higher professional education (Hariharan and Biswas, 2020), improving human capital (Hu, 2021), lean, computer-integrated production, socially-oriented and production with high added value (Hitomi, 1997). The methods used in scientific works to assess the economic potential of an industrial enterprise are based on the aggregation of private indicators, which are converted to an index, point, or rank form to ensure comparability.…”