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This paper aims to explore how entrepreneurs use social media (SM) to develop their organisational identity within business networks.

A single embedded case study was used comprising a case firm entrepreneur and eight connected network actors within an artisan food context in Ireland. Data was collected using an in-depth interview complemented with content analysis of networked firms’ Facebook posts (N = 1,652) over a three-year period.

This paper identifies four common network processes through which entrepreneurs can leverage SM to develop their organisational identity within networks. The processes are network relating, collaborating within networks, interacting with trends and connecting with community.

Findings are limited to the Irish artisan food sector and explore identity development through a single SM platform. The applicability and variation of use of the processes across industries would serve to further refine the processes identified.

Practically, the four processes through which identity within a network can be developed using SM can help entrepreneurs to access and position themselves within business networks, gain access to resources and overcome the classic limitations of newness and smallness.

This paper provides a conceptual framework illustrating the processes involved in developing entrepreneurial organisational identity within business networks using SM. This paper adds to a growing literature that places interaction at the heart of identity development and responds to calls to further understanding of the process of identity development for entrepreneurial ventures.

This paper aims to optimize and evaluating the performance of the crowd networks through analyzing their information sharing patterns. That is, in a crowd network, the qualities of accomplishing tasks are highly dependent on the effective information sharing among intelligent subjects within the networks. Hence, proposing an adaptive information-sharing approach can help improve the performance of crowd networks on accomplishing tasks that are assigned to them.

This paper first introduces the factors that affect effectiveness of information-sharing pattern: the network topology, the resources owned by intelligent subjects and the degree of information demand. By analyzing the correlation between these factors and the performance of crowd networks, an Adaptive Information Sharing Approach for Crowd Networks (AISCN approach) is proposed. By referring to information needed for accomplishing the historical tasks that are assigned to a crowd network, the AISCN approach can explore the optimized information-sharing pattern based on the predefined composite objective function. The authors implement their approach on two crowd networks including bee colony and supply chain, to prove the effectiveness of the approach.

The shared information among intelligent subjects affects the efficiency of task completion in the crowd network. The factors that can be used to describe the effectiveness of information-sharing patterns include the network topology, the resources owned by intelligent subjects and the degree of information demand. The AISCN approach used heuristic algorithm to solve a composite objective function which takes all these factors into consideration, so that the optimized information-sharing pattern can be obtained.

This paper introduces a set of factors that can be used to describe the correlation between information-sharing pattern and performance of crowd network. By quantifying such correlation based on these factors, this paper proposes an adaptive information-sharing approach which can explore the optimized information-sharing pattern for a variety of crowd networks. As the approach is a data-driven approach that explores the information-sharing pattern based on the network’s performance on historical tasks and network’s characteristics, it is adaptive to the dynamic change (change of incoming tasks, change of network characteristics) of the target crowd network. To ensure the commonality of the information-sharing approach, the proposed approach is not designed for a specific optimization algorithm. In this way, during the implementation of the proposed approach, heuristic algorithms can be chosen according to the complexity of the target crowd network.

This study focuses on the triadic multilevel psychic distance (MPD) between the firm, target market and bridge-maker and its consequences for firm internationalization. Specifically, it spotlights the triadic psychic distance between firms, the levels of psychic distance in the target market (country and business) and the bridge-maker. Therefore, this study examines the triadic MPD among these three entities and its impact on firm internationalization.

This study uses qualitative and case study research approaches. It is based on 8 case companies and 24 internationalization cases. Secondary data were collected, and interviews with bridge-makers and industry experts were conducted.

The study found that MPD appeared in the triad. The MPD between firms and markets is related to country-specific differences and business difficulties. The MPD between the firm and the bridge-maker is based on the latter’s lack of knowledge vis-à-vis bridging the firm’s MPD. Finally, the MPD between bridge-makers and the market is based on the former’s lack of knowledge of the home country’s business difficulties.

This is the first study to develop and adopt a triadic multilevel psychic distance conceptualization that provides evidence for and sheds light on the triadic MPD and its effect on firm internationalization. This study identifies the reasons behind triadic MPD in connection to firm internationalization. Notably, firm internationalization is interdependent on the triadic MPD setting between the firm, bridge-maker and target market. It has theoretical value and contributes to the recent advancement in the understanding of MPD in international marketing literature.

The Internet of Things (IoT) is used in the fresh agricultural product (FAP) supply chain, which can be coordinated through a revenue-sharing contract. The purpose of this paper is to make the three-level supply chain coordinate in IoT by considering the influence of FAP on market demand and costs of controlling freshness on the road.

A three-level FAP supply chain that comprises a manufacturer, distributor, and retailer in IoT is regarded as the research object. This study improves the revenue-sharing contract, determines the optimal solution when the supply chain achieves maximum profit in three types of decision-making situations, and develops the profit distribution model based on the improved revenue-sharing contract to coordinate the supply chain.

The improved revenue-sharing contract can coordinate the FAP supply chain that comprises a manufacturer, distributor, and retailer in IoT, as well as benefit all enterprises in the supply chain.

Resource utilization rate can be improved after coordinating the entire supply chain. Moreover, loss in the circulation process is reduced, and the circulation efficiency of FAPs is improved because of the application of IoT. The validity of the model is verified through a case analysis.

This study is different from other research in terms of the combination of supply chain coordination, FAPs, and radio frequency identification application in IoT.

Adopting new technologies to improve supply chain activities and processes is essential due to increasingly complex and dynamic business environments. Particularly in the pharmaceutical industry, high-quality standards must be met, requiring transparency and visibility in the supply chain. This research aims at investigating the implementation of blockchain technology in the supply chain of an Egyptian pharmaceutical company.

The research applies a single case-study approach building on the theoretical underpinnings of transaction cost economics. Twenty-five semistructured interviews were conducted with pharmacies and employees of the case company to identify the blockchain technologies' potential for pharmaceutical supply in Egypt. Further analyzing the frequencies of the codes, the authors elaborate on specific relationships between the observed practices.

The research revealed the potential benefits of adopting blockchain technology. Transaction costs are indeed positively impacted by reduced contracting costs, processing costs and lead times, also ensuring the safe delivery of medications. However, the findings also highlight obstacles related to running costs, awareness and company culture. Regarding supply chain governance, blockchain technology can enhance collaboration within the supply chain as well as with important stakeholders.

Insufficient management of pharmaceutical supply chains (PSC) may affect a company's reputation but also disrupt the patient's healing process due to temperature damage and counterfeit medicines. Blockchain governance, in this vein, can ensure a safer and more reliable supply of pharmaceutical products. For intraorganizational purposes, however, cloud solutions, barcoding and generally digital platforms are rated more frequently than blockchain solutions.

The present study contributes to an advanced understanding how blockchain technology supports PSC, particularly in an emerging country context like Egypt. It thereby confirms and extends previous research as well as adds to the theoretical underpinnings of digitalized supply chains.

The purpose of this paper is to explore the increased research attention gained by sustainability in food supply chain management. Although previous review studies have focused on aspects such as traceability, food safety, and performance measurement, sustainability has rarely been considered as a means of integrating these issues.

The paper presents a comprehensive review of the literature on food sustainable supply chain management (FSSCM). Using systematic review methods, relevant studies published from 1997 to early 2021 are explored to reveal the research landscape and the gaps and trends.

The paper shows the building blocks and the main research directions in FSSCM, particularly considering the opportunities in “neglected” emerging countries. Insights are provided into the various elements of the sustainability supply chain in the food industry, which have previously been analysed separately.

Only a few researchers have systematically reviewed the literature or taken a bibliometric approach in their analyses to provide an overview of the current trends and links between sustainability and food supply chain management.

For a long time, researchers have stressed the importance of identity for collaborative supply relationships. Accordingly, it has been proposed that supply relationships may be efficiently managed by establishing a shared collective identity among partners. However, this strategy may challenge the partners' individual distinctiveness and thus lead to adversarial relationship outcomes. In this article, it is argued how and when establishing an intergroup relational identity may be a better choice than building a collective identity.

The conceptual research is based on an analysis of previous literature. Relational identity theorizing and the theory of intergroup leadership are applied to build on and extend previous views on identity in interorganizational contexts.

It is proposed that when supply chain actors are subject to identity threats in collaborative supply relationships, such threats are driven by the imbalance of power between or among the parties. Therefore, establishing an intergroup relational identity should be preferred over a collective identity in situations characterized by a high identity threat.

Future studies could support this article's theoretical suggestions with empirical evidence.

Intergroup relational identity preserves the distinctiveness of all parties involved in a collaborative relationship and is based on their individual contributions. Managers could support a collaborative environment and promote a shared vision between or among organizations through appropriate rhetoric.

This study contributes to an understanding of the relational aspects of interorganizational behavior by adapting social psychological theories to this area of research.

Social network and being a part of an established business network helps in the acquisition of resources. The purpose of this study specifically looked at the mechanisms through which network reliance (NR) influences the entrepreneurial performance (PERF) among rural farmer entrepreneurs in China.

The paper looks at the economic sociology perspective of social networks. A total of 450 rural farmer entrepreneurs were interviewed for the study. The study introduces emotional intelligence (EI) and entrepreneurial orientation (EO) into the relationship between NR, knowledge acquisition (KA) and entrepreneurial PERF.

The result shows that KA partially and positively mediates the relationship between NR and entrepreneurial PERF. EO is shown to moderate the relationship between KA and entrepreneurial PERF apart from its direct effect on entrepreneurial PERF. The EI of rural farmer entrepreneurs has a direct and significant effect on KA but does not moderate the relationship between NR and KA.

This study provides a new direction for extension education to rural farmer entrepreneurs. Knowledge building capacity programmes for rural farmer entrepreneurs should be an area of priority for extension education. Building the social capital and entrepreneurial capacities of rural farmer should be a new area of focus for policymakers. These measures will go a long to improving the capabilities of rural farmer entrepreneurs, which will, in turn, impact positively on their PERF.

The purpose of this study is to specifically look at the relationship between reliable network reliance and entrepreneurial performance.

To help achieve the study objective, 450 rural farmer-entrepreneurs from Jiangsu, Anhui, Guangxi and Zhejiang Provinces were randomly selected. The study concentrated mainly on entrepreneurs who have engaged in entrepreneurial activities the past five or more years.

This study’s findings show that network reliance has direct and indirect effects on entrepreneurial performance through external networking behaviour. The result further shows that external networking behaviour partially mediates the relationship between network reliance and entrepreneurial performance. On the moderation effect on entrepreneurial orientation (EO), the result reveals that it strengthens the relationship between external networking behaviour and entrepreneurial performance. The result shows that EO has a direct effect on entrepreneurial performance. The paper introduces behavioural component of network to entrepreneurial performance. The study concludes that external networking behaviour of entrepreneurs is key in entrepreneurship as it improves relationships among actors and thereby translating into an improved performance.

The paper brings to light the need to reconsider extension education by including elements of networking to enable rural entrepreneurs derive full benefits of their entrepreneurial ventures.

The Indian pharmaceutical industry has contributed significantly to global healthcare by securing superior-quality, inexpensive and reachable medicines worldwide. However, supply chain management (SCM) has been challenging due to constantly shifting requirements for short lifecycles of products, the convergence of industry and changeable realities on the ground. This study aims to identify, assess and prioritize the strengths, weaknesses and opportunities of the pharmaceutical SCM environment in India.

The paper employs a Strength, Weakness, Opportunity, Threat (SWOT) analysis and recognizes strategies to utilize the advantages of the strengths and opportunities, rectify weaknesses and resolve threats.

A variety of strategies that could have a positive effect on the Indian pharmaceutical business are presented. Findings and suggested strategies can significantly advance knowledge, enhance understanding and contribute to the growth of a successful SCM for the Indian pharmaceutical sector.

This paper would act as a roadmap to greater comprehension of the market leaders and market leaders' operating climate. The findings from this study will offer academic scholars and business practitioners deeper insights into the environment of SCM.