Search results
1 – 10 of 341Yusi Jiang, Chuanjia Li and Yapu Zhao
This study aims to explore the relationship between network position and innovation under major environmental turbulence.
Abstract
Purpose
This study aims to explore the relationship between network position and innovation under major environmental turbulence.
Design/methodology/approach
The authors use a difference-in-differences identification approach using the 2009 Industry Revitalization Plan in response to the global financial crisis as a natural experiment with a sample of Chinese listed firms from 2001 to 2017.
Findings
The findings show that a major environmental turbulence can facilitate firm innovation, and firms that occupy central positions in the interlock network show worse innovation performance while firms with high brokerage show better innovation performance.
Originality/value
The literature on environmental implication has largely focused on the threats and overlooked the potential opportunities. Moreover, social network literature has elaborated on the benefits and constraints of network positions from a static perspective but largely overlooked their implications facing environmental change. By exploring the bright side of major environmental turbulence and including this factor as a key contingency in exploring the effects of centrality and brokerage, this study integrates external environmental context with social network research and provides empirical evidence responding to the call for more attention to network dynamics and extends our understanding of the context-contingent network effects on firm innovation.
Details
Keywords
Francesco Aiello, Paola Cardamone, Lidia Mannarino and Valeria Pupo
The purpose of this study is to investigate whether and how inter-firm cooperation and firm age moderate the relationship between family ownership and productivity.
Abstract
Purpose
The purpose of this study is to investigate whether and how inter-firm cooperation and firm age moderate the relationship between family ownership and productivity.
Design/methodology/approach
We first estimate the total factor productivity (TFP) of a large sample of Italian firms observed over the period 2010–2018 and then apply a Poisson random effects model.
Findings
TFP is, on average, higher for non-family firms (non-FFs) than for FF. Furthermore, inter-organizational cooperation and firm age mitigate the negative effect of family ownership. In detail, it is found that belonging to a network acts as a moderator in different ways according to firm age. Indeed, young FFs underperform non-FF peers, although the TFP gap decreases with age. In contrast, the benefits of a formal network are high for older FFs, suggesting that an age-related learning process is at work.
Practical implications
The study provides evidence that FFs can outperform non-FFs when they move away from Socio-Emotional Wealth-centered reference points and exploit knowledge flows arising from high levels of social capital. In the case of mature FFs, networking is a driver of TFP, allowing them to acquire external resources. Since FFs often do not have sufficient in-house knowledge and resources, they must be aware of the value of business cooperation. While preserving the familiar identity of small companies, networks grant FFs the competitive and scale advantages of being large.
Originality/value
Despite the wide but ambiguous body of research on the performance gap between FFs and non-FFs, little is known about the role of FFs’ heterogeneity. This study has proven successful in detecting age as a factor in heterogeneity, specifically to explain the network effect on the link between ownership and TFP. Based on a representative sample, the study provides a solid framework for FFs, policymakers and academic research on family-owned companies.
Details
Keywords
Didas S. Lello, Yongchun Huang and Jonathan M. Kansheba
Agenda for knowledge creation within inter-project alliances and inter-firm supply chain networks has been extensively debated. However, the existing knowledge networks within…
Abstract
Purpose
Agenda for knowledge creation within inter-project alliances and inter-firm supply chain networks has been extensively debated. However, the existing knowledge networks within consultant-supplier interfaces in the architecture, engineering and construction (AEC) industry seem to be vague, loose, incidental and insignificant. This study examines factors affecting knowledge networking intention (KNI) within construction service supply chain (CSSC) networks.
Design/methodology/approach
Data analysis was conducted on a quantitative survey of 161 consulting professional service firms in Tanzania, employing stepwise regression modelling as the statistical technique.
Findings
The results indicate that three types of knowledge inertia (KI) exert varying effects on KNI. While both procedural (PI) and learning inertia (LI) negatively impact KNI, experience inertia (EI) has no impact on KNI. In addition, knowledge governance (KG) mechanisms are found to strongly strengthen and leverage the negative effects of PI and LI on KNI and the positive link between EI and KNI within outbound and heterogeneous CSSC actors, with formal KG having greater leverage than informal KG.
Practical implications
The study offers guidance on how managers of PBOs should strategically orchestrate knowledge governance mechanisms within CSSC networks to leverage KI behaviours.
Originality/value
Current literature on KNI, KI and KG within CSSC networks offers a limited understanding of how KI behaviours influence KNI of project-based organizations (PBOs) in tapping vibrant outbound peripheral knowledge. The research presents two major original contributions. First, the empirical evidence contributes to deepening the current understanding of how heterogeneous external knowledge within consultant-supplier interactions is negatively influenced by KI. Lastly, the study suggests formal and informal knowledge governance strategies for managers on how to counteract KI forces, thus extending the theoretical debate on KNI, KI and KG literature.
Details
Keywords
Seda Özcan and Bengü Sevil Oflaç
In business-to-business interactions, conflicts are inevitable, and conflict-handling strategies that consider different variables improve the decision-making process of actors…
Abstract
Purpose
In business-to-business interactions, conflicts are inevitable, and conflict-handling strategies that consider different variables improve the decision-making process of actors. This study aims to reveal the role of power and criticality in conflict-handling research in logistics service networks.
Design/methodology/approach
A 2 × 2 between-subject experimental design with four different scenarios was used. One hundred sixty logistics service actors completed an online questionnaire. Data were analyzed with ANOVA and paired sample t-tests using the SPSS 28.0 program.
Findings
In comparative scenarios involving high and low power dynamics, individuals with high power and high criticality situations are more inclined to favor the dominating strategy compared to low-power and low-criticality contexts. However, when faced with specific circumstances characterized by both high power and high criticality, actors tend to prioritize the integrating strategy initially, followed by the dominating and obliging strategies in that order. Notably, the statistical analysis revealed no significant interaction effect between criticality and power concerning the integrating, obliging and dominating conflict-handling strategies.
Originality/value
This study used an experimental approach to investigate criticality and power as contextual elements in determining conflict-handling strategies in an inter-firm environment within logistics service networks. This study is particularly groundbreaking in its knowledge of the relationship among power dynamics, conflict criticality and conflict-handling strategies.
Details
Keywords
Meriam Trabelsi, Elena Casprini, Niccolò Fiorini and Lorenzo Zanni
This study analyses the literature on artificial intelligence (AI) and its implications for the agri-food sector. This research aims to identify the current research streams, main…
Abstract
Purpose
This study analyses the literature on artificial intelligence (AI) and its implications for the agri-food sector. This research aims to identify the current research streams, main methodologies used, findings and results delivered, gaps and future research directions.
Design/methodology/approach
This study relies on 69 published contributions in the field of AI in the agri-food sector. It begins with a bibliographic coupling to map and identify the current research streams and proceeds with a systematic literature review to examine the main topics and examine the main contributions.
Findings
Six clusters were identified: (1) AI adoption and benefits, (2) AI for efficiency and productivity, (3) AI for logistics and supply chain management, (4) AI for supporting decision making process for firms and consumers, (5) AI for risk mitigation and (6) AI marketing aspects. Then, the authors propose an interpretive framework composed of three main dimensions: (1) the two sides of AI: the “hard” side concerns the technology development and application while the “soft” side regards stakeholders' acceptance of the latter; (2) level of analysis: firm and inter-firm; (3) the impact of AI on value chain activities in the agri-food sector.
Originality/value
This study provides interpretive insights into the extant literature on AI in the agri-food sector, paving the way for future research and inspiring practitioners of different AI approaches in a traditionally low-tech sector.
Details
Keywords
Shiv Chaudhry, Dave Crick and James M. Crick
This study investigates how a competitor orientation (knowledge of and acting on competitors' strengths and weaknesses) facilitates coopetition activities (collaboration with…
Abstract
Purpose
This study investigates how a competitor orientation (knowledge of and acting on competitors' strengths and weaknesses) facilitates coopetition activities (collaboration with competitors), within networks of competing micro-sized, independent, family restaurants, owned by entrepreneurs from ethnic minority backgrounds.
Design/methodology/approach
An instrumental case study features data collected from interviews with 30 owners (as key informants) of micro-sized, independent, family-owned restaurants, in two urban clusters within the Midlands (UK). Specifically, the context involves restaurants offering South Asian cuisine and where the owner originated from the Indian sub-continent (Bangladesh, India or Pakistan). Secondary data were collected wherever possible. These two clusters (not named for ethics reasons) are highly populated by members of these respective ethnic communities; also, they contain a relatively large number of restaurants offering South Asian cuisine.
Findings
A competitor orientation facilitated strong coopetition-oriented partnerships comprised of extended family and intra-community members that helped enhance individual firms' performance, maintained family employment and sustained their cluster. It also helped owners develop subtle counter strategies where weak ties existed, such as via inter-community networks. For example, strategies attracted customers that were not loyal to a particular restaurant, or indeed, sub-ethnic cuisine (within Bangladesh, India or Pakistan, like the Punjab region). Subtle as opposed to outright counter strategies minimised retaliation, since restaurant owners wanted to avoid price wars, or spreading misinformation where the reputation of a cluster may suffer alongside the likely survival of individual businesses within that regional cluster.
Originality/value
Mixed evidence exists in earlier studies regarding the competitive rivalry in certain sectors where ethnic minority ownership is prominent; not least, restaurants located in regional clusters. However, this investigation considers the notion – what if some of these earlier studies are wrong? More specifically, does certain prior research under-represent the extent that rival entrepreneurs of an ethnic minority origin collaborate rather than compete for mutually beneficial purposes? New evidence emerges regarding ways in which a competitor orientation can influence the performance-enhancing nature of coopetition activities among business owners originating from both intra and inter-ethnic communities.
Details
Keywords
Ta-Wei (Daniel) Kao, Hung-Chung Su and Yi-Su Chen
Prior studies on major customer relationships (i.e. embedded ties) focus mostly on the ties between a focal firm and its immediate customers, hindering the understanding of the…
Abstract
Purpose
Prior studies on major customer relationships (i.e. embedded ties) focus mostly on the ties between a focal firm and its immediate customers, hindering the understanding of the influence of indirect ties (both upstream and downstream) on a focal firm's operational performance. In this study, the authors analyze how a focal firm's upstream and downstream connectedness and network location affect its productive efficiency.
Design/methodology/approach
Utilizing Compustat segment files, the authors constructed large-scale major customer networks covering the period 2007–2013. The authors applied a fixed-effect panel stochastic frontier model to conduct estimation. Moreover, the authors applied an endogenous panel stochastic frontier model to ensure the robustness of the main analysis.
Findings
The authors found that a focal firm's upstream and downstream connectedness both have a positive influence on a firm's productive efficiency, whereas a focal firm's centeredness in the major customer network has a negative influence on productive efficiency. Moreover, it was found that centeredness lessens the positive influences of upstream and downstream connectedness on productive efficiency. The post hoc analysis further confirmed that a focal firm's indirect ties, both upstream and downstream, positively influence a focal firm's productive efficiency.
Originality/value
This study contributes to the literature by evaluating the relative effectiveness of a focal firm's direct and indirect major customer ties, both upstream and downstream. More importantly, this study suggests potential exploitation–exploration trade-offs (i.e. productive efficiency vs. innovation) triggered by a firm's network location.
Details
Keywords
Brou Ettien Fulgence, Xuhua Hu, Otu Larbi-Siaw, Siele Jean Tuo and Franck Edouard Gnahe
This study builds on knowledge-based view (KBV) research and the natural resource-based view of the firm (NRBV) to examine the effect of knowledge absorptive capacity on…
Abstract
Purpose
This study builds on knowledge-based view (KBV) research and the natural resource-based view of the firm (NRBV) to examine the effect of knowledge absorptive capacity on innovative performance. It also investigates the mediating role of three dimensions of the cluster environment: degree of network, institutional environment and access to factors of production.
Design/methodology/approach
By means of partial least squares-based structural equation modelling method, the study validated and analysed the responses of 503 owners and managers of small and medium-sized enterprises (SMEs) in the wood industrial cluster of Cote d'Ivoire, a developing economy.
Findings
The analysis and results reveal that knowledge absorptive capacity strongly predicts cluster environment and innovation performance. Moreover, the cluster environment emerged as a powerful determinant of innovation performance and a mediator of the effect of knowledge absorptive capacity on innovation performance. Unequivocally, institutional support has no significant impact on knowledge absorptive capacity (KAC) and innovative performance mediation relationship and is not a key determinant of innovative performance.
Originality/value
This study offers a key departure from past studies by linking knowledge absorptive capacity to innovative performance and the cluster environment in SMEs. It also extends knowledge concerning the role of KBV, NRBV and relational theory in innovation performance.
Details
Keywords
Naiding Yang, Yan Wang, Mingzhen Zhang and Chunxiao Xie
Many studies have investigated dynamic positions and their importance, but there is less attention paid to how to enter more central positions. Interorganizational relationships…
Abstract
Purpose
Many studies have investigated dynamic positions and their importance, but there is less attention paid to how to enter more central positions. Interorganizational relationships are an important factor in network structural change. In Chinese society, firms allocate significant human, financial and material resources towards cultivating guanxi. The purpose of this study is to explore whether and how the three aspects of guanxi, namely renqing, ganqing and xinyong, can make firms more central, and to examine the mediating role of interaction.
Design/methodology/approach
The study used a mixed method to collect data from 256 Chinese Cops (complex product systems) firms. And, hypotheses were tested using SPSS 25.0 and AMOS 26.0.
Findings
The results indicate that renqing, ganqing and xinyong have significant positive effects on the increase in centrality, but with varying magnitudes. Additionally, the interaction was found to mediate the relationship between the three aspects of guanxi (renqing, ganqing and xinyong) and the increase in centrality.
Originality/value
The study provides new insights to help firms become more central by combining guanxi (renqing, ganqing and xinyong) with change in centrality, enriching the literature on network dynamics and guanxi-related research. Moreover, the study provides managers with a clear understanding of how to use guanxi to make the firm more central in situations with limited resources.
Details
Keywords
This study aims to examine the degree to which a selection of home country factors affects the proclivity of firms to internationalise. The study also proposes and tests a…
Abstract
Purpose
This study aims to examine the degree to which a selection of home country factors affects the proclivity of firms to internationalise. The study also proposes and tests a conceptual model that fuses institutional and resource-based theories to improve our understanding of firm internationalisation.
Design/methodology/approach
The study uses cross-sectional, national-level secondary data from the 2018 Global Entrepreneurship Development Institute and World Economic Forum data sets on global entrepreneurship and competitiveness indices for 137 countries. The data is analysed using correlation and hierarchical regression analysis to test the hypotheses.
Findings
The results indicate that national income, institutions, trade openness and availability of risk capital positively influenced firm internationalisation, while home-country networking had an inverse effect. However, home country infrastructure had no statistically significant effect on firm internationalisation.
Research limitations/implications
The findings highlight the importance of considering home country attributes in understanding the internationalisation of firms.
Originality/value
This study contributes to the body of knowledge by providing empirical evidence of the role of local factors on the internationalisation of entrepreneurial ventures. It also tests a novel conceptual model that integrates institutional and resource-based theories to explain the nuances of the internationalisation of business ventures globally.
Details