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This study aims to build on social capital theory (SCT) and its dimensions by examining the role of social capital in the public procurement process and by identifying related contingencies that may influence procurement performance.

A systematic literature review and a thematic analysis regarding social capital in procurement are conducted. The antecedent–behaviour–consequence (ABC) model is used for illuminating linkages between social capital, contingencies and procurement performance.

The dimensions of social capital are investigated in the procurement process; however, the extent of social capital role can vary between the phases of the process. It is concluded that the contingencies of social dynamics are linked with social capital and may influence the outcomes and performance of the procurement process.

Social capital can ease interactions between public buyers and private suppliers by contributing to effective tendering, improving social interaction in negotiations and balancing rigidity in contract management, supporting the interests of both parties. The provided framework helps decision makers to comprehend the social dynamics in public procurement.

Improving social dynamics and solutions in public procurement.

This study extends social capital research in the field of public procurement and creates a framework connecting social capital and prevailing contingency factors to procurement process performance.

Multinational enterprises (MNEs) establish a wide range of alliances to access the critical resources that they may need at any one time. Although inter-organizational relationships (IORs) constitute the channels through which social capital flows, MNEs should consider which mechanisms or characteristics of the relations facilitate their actual mobilization.

A definition of alliance types yielded the parameters for an ordinary least squares regression of a sample from top global-reach MNEs from the airline industry.

The results showed that certain kind of alliances favored the actual mobilization of social capital.

Managers of MNEs must select the type of IOR taking into account the objective they pursue and the type of activity they will include.

Analyzing the factors that influence the degree of mobilization of social capital and how MNEs actually use the resources of the partners require the establishment of a theoretical framework and the development of empirical evidence.

las Empresas Multinacionales (MNEs) establecen una amplia gama de alianzas para acceder a los recursos críticos externos que puedan necesitar en cualquier memento. Las MNEs deben considerar qué mecanismos o características de las relaciones facilitan su movilización real.

una definición de los tipos de alianza produjo los parámetros para una regresión de mínimos cuadrados ordinarios de una muestra de las principales MNEs de alcance global de la industria de las aerolíneas.

Los resultados mostraron que ciertos tipos de alianzas favorecieron la movilización real del capital social.

Analizar los factores que influyen en el grado de movilización del capital social y cómo las MNEs utilizan en la práctica los recursos de sus socios, requiere del establecimiento de un marco teórico y el desarrollo de evidencia empírica.

This study uses social capital theory to analyze how social capital and supplier development support achieving supplier satisfaction and preferred customer status. The resulting model is compared between manufacturing and service suppliers.

A survey receiving 482 supplier responses from manufacturing and service suppliers was utilized and analyzed using partial least squares (PLS) path modeling and multi-group comparison tests.

The paper adds new explanations for preferred customer status through empirical evidence of relationships between supplier development, social capital, supplier satisfaction, and preferred customer status. Cognitive and relational capital directly support achieving preferred customer status. The role of supplier satisfaction in achieving preferred customer status is lower for manufacturing suppliers.

Both service and manufacturing suppliers could also be studied in their specific industry settings. A more in-depth investigation of other business relationship dynamics, such as power, is needed in a future study.

Service and manufacturing suppliers need different strategies to obtain the benefits from supplier development and social capital building. For service suppliers, more intangible factors are relevant in comparison to manufacturing suppliers.

This study advances the literature in two main ways. First, it elaborates the role of supplier development and social capital in the path toward supplier satisfaction and preferred customer status as perceived by suppliers. Second, this study answers the calls for a better understanding of the contextual characteristics underlying potential differences in how preferred customer status is formed.

This study aims to contribute to the early but fervent debate on blockchain and supply networks by proposing a novel theoretical perspective on blockchain adoption grounded on social capital theory. In particular, it seeks to answer the following question: what is the role of social capital in shaping the decision to adopt blockchain in supply networks?

Multiple case-studies, based on interviews performed with managers of eight firms, were used.

The social capital theory emerged as an additional but necessary lens to investigate blockchain implementation in supply networks. The intuitions proposed highlighted the importance of managers’ sensemaking for investigating technology adoption. Relational capital emerged as a necessary but not sufficient condition to adopt blockchain in supply networks. In addition, it is argued a relationship between competitive opportunities at the firm level and the idea to adopt the blockchain. The opportunity to act as “Tertius Gaudens” or as “Tertius Iungens” information brokers in supply networks should severely affect firms’ proneness toward the adoption of blockchain solutions.

This is one of the first studies in the literature investigating blockchain adoption in supply networks from a social capital perspective. It introduces new issues to the debate related to the role of blockchain in the supply chain by discussing the role of goal misalignment and competitive advantage, which emerged as crucial for shaping the decision to adopt blockchain in supply networks.

Buying companies in the food industry increasingly recognize the need to cultivate relationships with their suppliers. Social capital and power are important to understand buyer–supplier relationships. Maintaining these relationships appears highly dependent on the degree of information sharing.

The study investigates how power and social capital dimensions are related to information sharing. A survey of first-tier suppliers in the Dutch meat processing industry was carried out. The data from 82 suppliers was analyzed using partial least squares.

It appears that expert power contributes to the cognitive and structural social capital. In contrast, coercive power showed no influence at all. Cognitive and structural social capital dimensions have a direct link to relational social capital, which significantly improves buyer–supplier information sharing in the food industry.

Buying companies can encourage supplier information sharing by building up their own expertise and cultivating social relationships. They should refrain from strong-handed practices.

Companies in the food and food processing industry are dependent on effective information exchange for their very survival. This study investigates the role of power and social capital in making such exchange possible and sustainable.

The purpose of this paper is twofold. First, it intends to explore the link between internal social capital, logistics capabilities, supply chain risk management (SCRM) capabilities and supplier performance. Second, the mediating effect of logistics capabilities between internal social capital and SCRM capabilities, and that of SCRM capabilities between logistics capabilities and supplier performance are also examined.

A theoretical model developed from the extant literature was empirically validated through a cross-sectional survey of 122 respondents in 52 public healthcare facilities in Uganda. The data were analysed using partial least square structural equation modeling (PLS-SEM).

The study found that internal social capital and SCRM capabilities are significant predictors of supplier performance. Internal social capital is positively and significantly related to logistics capabilities, and logistics capabilities are positively and significantly related to SCRM capabilities. The authors also found non-significant relationships between internal social capital and SCRM capabilities, and between logistics capabilities and supplier performance. Furthermore, it was revealed that logistics capabilities play a partial mediating role in the relationship between internal social capital and SCRM capabilities, while SCRM capabilities fully mediate between logistics capabilities and supplier performance.

Further to providing empirical evidence of the antecedents of supplier performance in the public healthcare in a developing economy, which has been evidently scant, this study provides initial empirical evidence of the mediating role of logistics capabilities in the relationship between internal social capital and SCRM capabilities and that of SCRM capabilities in the relationship between logistics capabilities and supplier performance. This is important for understanding the mechanism through which supplier performance can be enhanced.

The purpose of this study is to show that an important antecedent of perceived knowledge quality is an employee’s position in the organizational network due to their participation in different interest groups. In particular, this study theorizes that brokers establish a network of groups, which increases perceived knowledge quality vis-a-vis the social capital that employees draw on.

To test this study’s hypotheses on the influence of the structural position of knowledge brokers on the positive effects of social capital on perceived knowledge quality, this study combines data from an online survey with longitudinal archival data from a youth-care organization who used an enterprise social network (ESN) for knowledge sharing.

This study found a mitigating effect of being a broker on the relationship between trust and perceived knowledge quality, and also between inter-team interaction and perceived knowledge quality for lower levels of both trust and inter-team interaction on perceived knowledge quality.

Although the hypotheses are supported, in light of prior research, the authors would have expected stronger and positive effects.

This research is particularly interesting because it emphasizes the important role of social capital. For organizations that deal with trust issues, it might help to stimulate employees to broaden their activity on ESNs by becoming active in multiple groups.

While knowledge sharing on ESNs is generally conducive for creating organizational value, there is a lack of understanding of what drives employees’ perception of the quality of shared knowledge, and how this perception may depend on their position in the social network. To investigate this question, the authors turn to social capital theory.

This paper aims to focus on the relation between digital transformation and banks’ reputation, as examined through the information disclosed by the five largest Italian banking groups’ efforts to extend and enhance their digital resources. Considering digitalization as a key strategy for managing reputation, which, in turn, can leverage financial and value performance management, the paper investigates whether and how digital activities might affect banks’ reputation. Therefore, this paper proposes the relationship between digitalization and reputation as a lever for performance management and for increasing efficiency.

The authors use content analysis to generate a digital disclosure index, categorizing activities human, structural and relational. For banks’ reputations, the proxies are a measure of corporate reputation and a reputational risk index. Methodologically the study used multiple case studies, considered as particularly suitable to gain an in-depth understanding of the topic in the case of the five banks. A collection of secondary data and semi-structured interviews are included.

Overall, the digitalization-reputation link shows that banks’ reputation is variously affected, not only by exposure to risk (including reputational risk) but also by strategic issues such as digitalization and the effectiveness of the corresponding communication. Consequently, banks should view digitalization as a key driver to be considered not in a stand-alone perspective, but in a combined approach.

Continued research should include the Covid-19 implications. Additionally, it would be important to compare a larger number of banks, with different characteristics, also including variables indicating the corporate governance mechanisms.

The analysis contributes to fostering scholars’ and practitioners’ management of the digital transformation challenge that is a current key-factor, capable of increasing banks’ value. It considers not only the drivers directly affecting monetary value but also the institutions’ social and relational value, as well as their reputation.

This paper extends prior research on the digitalization-reputation relation by investigating digital transformation through disclosure of activities in this area within the Italian banking sector. It allows to leverage the key-factors that can contribute to increasing banks’ value, considering not only the drivers directly affecting monetary value but also the institutions’ social and relational value, as well as their reputation.

This study aims to present the overview of intellectual capital creation micro-mechanisms concerning formal and informal knowledge processes. The organizational culture, transformational leadership and innovativeness are also included in the investigation as ascendants and consequences of the focal relation of intellectual capital and knowledge processes.

Based on a sample of 1,418 Polish knowledge workers from the construction, healthcare, higher education and information technology (IT) industries, the empirical model was developed using the structural equation modeling (SEM) method.

The study exposes that the essence of transformational leadership innovativeness oriented is developing all intellectual capital components. To do so, leaders must support both formal and informal knowledge processes through the organizational culture of knowledge and learning. Furthermore, for best results of the knowledge transformation into intellectual capital, the learning culture must be shaped by both components: learning climate and acceptance of mistakes.

Presented findings can be directly applied to organizations to enhance innovativeness. Namely, leaders who observe that the more knowledge is formally managed in their organizations, the less effective the knowledge exchange is-should put more effort into supporting informal knowledge processes to smoothly develop human and relational intellectual capital components. Shortly, leaders must implement an authentic learning culture, including the mistakes acceptance component, to use the full organizational potential to achieve intellectual capital growth. Intellectual capital growth is essential for innovativeness.

This study presents the “big picture” of all intellectual capital creation micro-mechanisms linking transformational leadership with organizational innovativeness and explains the “knowledge paradox” identified by Mabey and Zhao (2017). This explanation assumes that intellectual capital components are created informally (i.e. human and relational ones) and formally (i.e. structural ones). Therefore, for best effects, both formal and informal knowledge processes, must be supported. Furthermore, this study exposes that the intensity of all explored micro-mechanisms is industry-specific.

The purpose of this paper is to fill the research and cognitive gap by comparative analyzing of the cluster supply chain (CSC) and supply chains not belonging to the clusters to examine the relational embeddedness as the differentiator of supply chains operating in the clusters.

The conceptual model was tested with data collected from 475 industrial companies cooperating with their partners within supply chains, including 135 CSC. To identify the livraisons between different indicators, the correspondence analysis was applied.

The division of enterprises participating in this study into groups allows for the determination of relatively clear boundaries between enterprises belonging to the cluster and those that do not declare such affiliation. The obtained results confirmed that the relational embeddedness is the differentiator of the CSC collaboration.

The main limitations are referred to as the static character of the data.

The paper contains implications for cluster facilitators, as well as for cluster policy decision makers, to better design support for cluster organizations.

This research is a contribution to the literature on inter-organizational structures, such as clusters and supply chains, and in particular, contributes to the creation of the scientific ground of SCS theory. The research allowed to better understand the nature of collaboration taking into consideration the fact of the relational embeddedness of the companies operating within supply chains located in clusters. It proves the existence of a new type of inter-organizational form that is CSC.