Search results

This study analyzes the role of regional cooperative banks in identifying and financing small and medium-sized enterprises (SMEs) from a proximity perspective. Access to finance is a major challenge for SMEs. Regional cooperative banks can remove this barrier based on cooperative bank's characteristics and geographic proximity to SMEs. Understanding the interplay between these financial actors and firms can contribute to a better support of SMEs development.

The results are based on a case study of eight SMEs located in southwestern France. Interviews were conducted with two regional cooperative funds and eight SMEs. The interview guide included questions related to the company, the projects financed and how financing was accessed.

Results reveal that a combination of three forms of proximity allows regional cooperative banks and SMEs to establish effective financing operations. They show that regional cooperative banks are key players in the existing financing mechanisms for SMEs. Such financing is often used to gain access to larger players at a later stage. The findings suggest the need for public policies that promote the integration of financing actors in regional ecosystems to advance SMEs' development.

This article examines how SMEs access financing, with a focus on regional cooperative banks, which have received little attention in the literature. Moreover, the relationships between these actors are studied through the lens of proximity. Regional cooperative banks are able to finance projects that may have been overlooked by traditional banks due to trust-building local dynamics.

Informal learning networks are critical to response to calls for practitioners to reskill and upskill in off-site construction projects. With the transition to the coronavirus disease 2019 (COVID-19) pandemic, social media-enabled online knowledge communities play an increasingly important role in acquiring and disseminating off-site construction knowledge. Proximity has been identified as a key factor in facilitating interactive learning, yet which type of proximity is effective in promoting online and offline knowledge exchange remains unclear. This study takes a relational view to explore the proximity-related antecedents of online and offline learning networks in off-site construction projects, while also examining the subtle differences in the networks' structural patterns.

Five types of proximity (physical, organizational, social, cognitive and personal) between projects members are conceptualized in the theoretical model. Drawing on social foci theory and homophily theory, the research hypotheses are proposed. To test these hypotheses, empirical case studies were conducted on two off-site construction projects during the COVID-19 pandemic. Valid relational data provided by 99 and 145 project members were collected using semi-structured interviews and sociometric questionnaires. Subsequently, multivariate exponential random graph models were developed.

The results show a discrepancy arise in the structural patterns between online and offline learning networks. Offline learning is found to be more strongly influenced by proximity factors than online learning. Specifically, physical, organizational and social proximity are found to be significant predictors of offline knowledge exchange. Cognitive proximity has a negative relationship with offline knowledge exchange but is positively related to online knowledge exchange. Regarding personal proximity, the study found that the homophily effect of hierarchical status merely emerges in offline learning networks. Online knowledge communities amplify the receiver effect of tenure. Furthermore, there appears to be a complementary relationship between online and offline learning networks.

Proximity offers a novel relational perspective for understanding the formation of knowledge exchange connections. This study enriches the literature on informal learning within project teams by revealing how different types of proximity shape learning networks across different channels in off-site construction projects.

This research aims to contribute to the literature on sustainable hospitality and tourism by applying social network analysis to identify sustainable tourism business networks and untangle the role of cognitive and geographical proximity in their formation.

Data mining and machine learning techniques were applied to data collected from the websites of tourism companies located in northeastern Italy, namely, the Veneto region. Specifically, the authors used Web scraping to extract relevant information from the internet.

The results support the existence of geographical clusters of tourist accommodation providers that are linked by strong cognitive proximity based on sustainability principles that are well communicated via their websites. This does not appear to be greenwashing because companies that have agreed on sustainability principles have also implemented concrete actions and tend to signal these actions through a variety of sustainability certifications.

The results may guide tourism managers and policymakers in developing tourism initiatives directed at the creation of fruitful collaborations between similarly oriented organizations and methods to support clusters of sustainable tourism accommodation. Identifying sustainable tourism networks may assist in the identification of potential actors of change, fueling a widespread transition toward sustainability.

In this study, the authors adopted an innovative methodology to detect sustainability-oriented tourism business networks. Additionally, to the best of the authors’ knowledge, this study is one of the first to simultaneously explore the cognitive and geographical connections between tourism businesses.

The academic experience of top management team (TMT) has a positive impact on firms' innovation performance. However, existing studies predominantly focus on the educational qualifications and institutional prestige of TMT, failing to comprehensively evaluate whether TMT possess genuine academic experience and the role of academic competence. This article aims to examine whether TMT academic competence has a potential influence on firm innovation performance and to understand the mechanisms behind this relationship.

Using firm-level metrics of Chinese listed firms and TMT scholarly publication data spanning 2000–2021, this paper investigates whether TMT academic competence can promote firms' innovation performance and conducts a moderated mediating effect analysis.

(1) Academic competence of TMT can contribute positively to firms’ innovation performance; (2) university–industry collaboration partially mediates this relationship; (3) the mediating effect is enhanced by cognitive proximity and (4) distance proximity does not diminish the mediating effect.

Outcome of this study can assist academia in further understanding the impacts of TMT on firm innovation and aid government in promoting university–industry collaboration. Simultaneously, it can help firms adjust their TMT selection and training strategies to enhance innovation performance.

This article, as the first to construct an index of academic competence and to explore whether it has an impact on firms' innovation performance and its inherent mechanism, can provide a new research perspective for the study of the impact of TMT's characteristics on firms' innovation.

The purpose of this paper is to verify how distributed cognition enhances collaborative problem-solving in the context of projects.

Using qualitative research and in-depth interviews, a sample of 32 project managers with experience in traditional and agile methods acting in Brazil and internationally participated in the research process. The analysis process, utilising coding techniques, involved stages: open, axial, coding and selective coding. These stages encompassed the evaluation of categories based on a hierarchy, in order to determine an appropriate level of abstraction that properly explains theoretical findings.

The results indicate that distributed team cognition is significant for collaborative problem-solving. The data from the interviews allowed the proposal of a model of cognition, and the identification of the elements that support it.

Understand how aspects of distributed team cognition can impact the behaviours of the project professional and contribute to problem-solving in the project environment.

The elements observed affects the collaborative problem-solving by presenting a model of distributed cognition, which is composed by directed communication, collective interaction, trust building and collaborative behaviour.

Charitable crowdfunding features are embedded in social media platforms to encourage pro-social behaviors. Although such new practice allows practitioners to leverage the power of a highly connected crowd, accomplishing the fundraising goal is still a challenge. This study seeks to understand what drives the donation intention in charitable crowdfunding features on social media platforms by examining the roles of social experience, empathy and personal impulsiveness.

A survey questionnaire was distributed to social media users in China to collect data. A total of 206 valid responses were analyzed using structural equation modeling to test the proposed hypotheses.

The results showed that empathy mediates interaction with the fundraiser and perceived proximity with the donatee on a user's donation intention. We also found that social influence on social media platforms positively influences empathy and donation intention. In addition, personal impulsiveness was found to moderate the relationship between empathy and donation intention.

This study contributes to existing literature and practices. It identifies three dimensions of social experience and examines their effects on donation intention, providing insights into the charitable crowdfunding features on social media. Moreover, this study extends the understanding to empathy by delineating its mediating role in the relationship between social experience and donation intention and examining how personal impulsiveness moderates the effect of empathy on donation intention. Furthermore, this study provides valuable insights for practitioners to craft strategies to stimulate pro-social behaviors and increase donations.

Based on a relationship marketing approach, this paper aims to study the influence of social media use on salesperson performance and its underlying mechanisms from the perspective of salespeople in B2B settings.

To test the proposed model, the authors used structural equation modeling with a sample of 196 French B2B salespeople. Moreover, to explore the moderating effect of emotional management between social media use and relationship quality, the authors used the Hayes macro PROCESS for SPSS and the Johnson–Newman’s floodlight method.

The authors confirm the direct role of social media use on salesperson performance, and its indirect role through the parallel mediation of social proximity and relationship quality. The empirical study provides evidence for the moderating effect of emotional management on the relationship between social media use and relationship quality.

Companies should promote the use of social media to increase both the sales and creative performance of salespeople. Moreover, salespeople with low to moderate abilities to manage other people’s emotions benefit strongly from the use of social media, as this directly increases their relationship with their customers.

The research complements the conceptualization of salesperson performance as a combination of sales performance and sales creativity and shows that emotional management is an asset for social media users to develop valuable business relationships.

This study aims to examine the impact of regulatory, normative and cultural cognitive institutions and firm and individual factors on entrepreneurial behavior.

Using the quantitative research method, the authors collected data from 316 micro, small and medium enterprises (MSMEs) in Kosovo, a transition economy, through a cross-sectional research design. The authors performed exploratory factor analyses, correlation and regression analyses on the data using SPSS 26 and STATA software.

The research findings indicate that, within transition economies, normative and cultural-cognitive institutions have a positive impact on entrepreneurial behaviors. The authors could not determine the effect of regulatory institutions on entrepreneurial behavior. The authors also discovered that young firms are more inclined toward entrepreneurial behavior than older firms, and micro firms display a stronger entrepreneurial behavior than small firms. Furthermore, family businesses showed a greater tendency for entrepreneurial behavior than nonfamily firms. Interestingly, when the rational decision-making interacts with regulatory institutions, the effect on entrepreneurial behavior is negative.

This study employed a cross-sectional approach to investigate the influence of macro, meso, and micro-level factors on entrepreneurial behavior within a transitioning community across three industries. Future studies could replicate these findings within comparable institutional contexts, employing longitudinal studies that include additional variables beyond those considered in our present study.

Considering the importance of MSMEs for a country’s economic and sustainable development, the authors provide some policy implications. The authors recommend managers carefully evaluate the information gathered while they decide and also increase their capabilities concerning digitalization, which is crucial for their firm’s survival, growth and sustainable competitive advantage.

This paper contributes to the literature and shows and analyses entrepreneurial behavior at institutional (macro), firm-level factors (meso) and managers' rational decision-making (micro), providing evidence from a transition community.

Innovation ecosystems (IEs) have attracted the attention of policymakers and researchers because of their potential to positively affect territories, creating shared value. However, due to the fragmentation of IEs, how this happens in different IEs has been explored only partially. This research aims to bridge this gap, aiming to support policymakers in understanding how to foster shared value in diverse IEs.

The paper identifies, based on the literature, two “drivers of aggregation” of IE's actors as key dimensions characterizing shared value in IEs, namely physical proximity and dominant issue. If these are combined, three archetypes emerge: Hub- and Chain-Driven, Place-Driven, Competence- and Issue-Driven IEs.Then, elements useful for understanding shared value creation in these archetypes are framed and studied in real cases.

Results reveal that aggregation drivers affect shared value creation, which differ among archetypes: in Competence- and Issue-Driven IEs alignment is challenged by the low physical proximity, which in Place-Driven IEs is high, but not enough to grant shared value; in Hub- and Chain-Driven IEs, the hub is the orchestrator, representing both a driver and a risk.

Differences in shared value creation processes relate to the set-up of the IE, which has relevant implications for policy definition. In Competence- and Issue-Driven IEs, policies at diverse levels align in funding and promoting the IE; in Place-Driven IEs, policies support anchors' development on-site; in Hub- and Chain-Driven IEs, policies, sometimes absent, should foster partnerships for projects for the territory, IE's enlargement and resilience.

This study aims to examine how implicit distance (cognitive and social) impacts supply chain capabilities, and the roles of information technology (IT) utilization and supply chain flexibility in this process.

The authors designed a conceptual model including the implicit distance, supply chain flexibility, supply chain capability and IT utilization and verified the relationships among variables through a survey that collected data from 104 manufacturing enterprises in China.

The results show that cognitive and social distances positively and negatively affect supply chain flexibility, respectively. Furthermore, IT utilization strengthens the positive effect of cognitive distance and the negative effect of social distance on supply chain flexibility. Additionally, supply chain flexibility has a positive effect on supply chain capability and mediates the effects of cognitive and social distances on supply chain capability.

Enterprises should prioritize cooperation with different types of partners with whom the enterprises have established good collaborative working experiences. Moreover, if enterprises cooperate with new partners, enterprises should communicate and handle things face to face instead of frequently utilizing IT.

This study links the implicit distance between enterprises with supply chain capability and newly applies social network theory to explain the mechanism. Further, the authors' data confirm the moderating role of IT utilization in this process, supplementing the research on implicit distance. Moreover, this study employs dynamic capability theory to better understand how firms can improve supply chain capabilities.