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Using social network theory (SNT), this study empirically examines the impact of digital supply chain announcements disclosing corporate social responsibility (CSR) information on stock market value.

Based on 172 digital supply chain announcements disclosing CSR information from Chinese A-share listed companies, this study uses event study method to test the hypotheses.

First, digital supply chain announcements disclosing CSR information generate positive and significant market reactions, which is timely. Second, strategic CSR and value-based CSR disclosed in digital supply chain announcements have a more positive impact on stock market, however there is no significant difference when the CSR orientation is either towards internal or external stakeholders. Third, in terms of digital supply chain network characteristics, announcements reflecting higher relationship embeddedness and higher digital breadth and depth lead to more positive increases of stock value.

First, the authors consider the value of CSR information in digital supply chain announcements, using an event study approach to fill the gap in the related area. This study is the first examination of the joint impact of digital supply chain and CSR on market reactions. Second, compared to the previous studies on the single dimension of digital supply chain technology application, the authors innovatively consider supply chain network relationship and network structure based on social network theory and integrate several factors that may affect the market reaction. This study improves the understanding of the mechanism between digital supply chain announcements disclosing CSR information and stock market, and informs future research.

The purpose of this research study was to examine the role of Social Networking Technologies (SNT) in developing Public Services Supply Chain (PSSC) during COVID-19 pandemic. Due to lack of sufficient support from corporations and non-government groups, citizens in developing democracies were dependent upon their governments for the delivery of vital public services. During the COVID-19 epidemic, a number of organisations attempted to assist governments in managing the supply of public services. However, organisations often lacked a thorough grasp of how to cultivate social ties for the delivery of efficient and effective public services for citizens. In this research work, to study the delivery of efficient and effective public services to citizens, the authors have proposed a social network viewpoint. This was at a ‘meso-level’ lens so as to examine the intersection between organisational SNT and PSSC. According to the qualitative study conducted in this research work, it became evident that organisational social ties could play a significant role in facilitating homophilic and heterophilic ties. This was specially so for the distribution of public services in pandemic situation like COVID-19. However, the research study findings also found out that these network forces were highly dynamic and dependent upon a set of factors. These factors included tie frequency, the sequencing of interaction with social ties and the prevailing norms. This research study enriched the understanding regarding the role of SNT. This was in the context of developing PSSC during critical crisis situations such as prevalent during COVID-19 pandemic. This research study offered a better understanding of social ties and motivational factors in the social networking environment. The social ties were analysed based on the contact incidents of six participants focusing on the PSSC during the COVID-19. Future research studies could consider a diverse set of participants in complex global PSSC consisting of multiple constraints. Furthermore, this research study had practical implications for managers. The study revealed that homophilic social ties were more supportive as compared to the sequence of interactions starting with heterophilic ties. Therefore, managers needed to develop better PSSC especially as compared to unrelated institutions.

The Covid-19 pandemic has made it essential to explore the resilience factors specific to developing regions, not only because they pose threats of extreme poverty and offer a novel context but also because they play an important role in globalisation.

A mixed-method approach was undertaken to address this novel pandemic situation. First, an open-ended structured questionnaire was developed, and data were collected from three neighbouring emerging economies: Pakistan, India and Iran. Experts' perspectives on vulnerabilities, response measures, resilience and restoration of supply chain activities, and the role of social capital were collected. Second, building upon the findings from phase one of the studies, a quantitative structured questionnaire using the supply chain operational reference (SCOR) model was used to collect data in a structured manner. This quantitative data were further analysed using frequency and contingency analysis.

The findings from the first phase of the study inductively derive 36 resilience categories. Later, the contingency findings show that supply chain (SC) disruption is a major vulnerability for emerging economies, whereas solutions offered to combat it lay in the reconfiguration of resources, such as financial, technological, human, information and material. Additionally, supply network structure and social capital play an integral part in making SCs resilient against disruption.

The respondents comprise the academics/SC researchers, which make the findings interesting though they lack the industrial experts' perspectives, directly. Nevertheless, the propositions can be tested in industrial settings to see whether the results are limited to a specific industrial setting or are rather generalised.

Similarly, practitioners and policy makers can incorporate the SCOR metrics/factors outlined in this study into their performance measurement systems and ensure continuous monitoring for firm's resilience.

The study offers a holistic understanding of the developing regions' approaches to Covid-19. The paper also takes a social capital perspective to explain firms' resilience in these emerging economies.

This paper introduces “virtual fun at the virtual workplace” and conceptualizes its impact on virtual socialization and the formation of virtual professional ties. The conceptual model also recognizes the moderation of a few variables: “awareness of being observed,” “diversity in the virtual workplace” and “virtual impression management.”

The paper takes a theoretical approach to develop a conceptual framework of virtual fun in the virtual workplace, drawing on social exchange theory (SET) and social network theory (SNT).

The study extends the tenets of the SET and extends the applicability of SNT to a virtual workplace. The study suggests that managers should introduce semi-organized virtual fun during scheduled breaks within work hours to aid in virtual socialization, which further aids in the formation and strengthening of “professional ties” in the virtual workplace.

This study is the first of its kind to conceptualize a model for virtual fun in the virtual workplace.

This paper examines the role of co-inventor collaboration with China and/or the USA on a country's increase in centrality in global knowledge networks. It also explores the role of specific institutional factors – corruption and intellectual property rights (IPR) protection – on this relationship.

In the study, co-inventor data from the United States Patent and Trademark Office (USPTO) applications have been used to construct networks of technological knowledge collaboration at the country level over the years 2002–2015. Using eigenvector centrality as the dependent variable, the study uses fixed effect regression analyses on a panel of 171 countries, contributing to recent debates on knowledge networks and international cooperation.

Building on research in economic development, innovation and social network theory, this research finds that co-patenting with Chinese inventors is positively related to a country's centrality in global knowledge networks and that this relationship is negatively moderated by collaboration with the current most central knowledge network – namely that of the USA – suggesting a substitution effect. It also finds a partial substitution between institutional factors, IPRs protection and transparency, and collaboration with China on a country's knowledge centrality.

Regarding policymakers, the findings can be used to encourage international collaboration for increased access to new sources of knowledge that fosters innovation while keeping a close eye on local institutions, especially emerging economies that want to increase their international knowledge network centrality.

This study creates a unique panel data set and extends the social networks approach in international business literature, focusing on institutional characteristics related to participation in knowledge networks.

Research on the relationship between customer bargaining power and supplier performance in supplier–customer relationships has flourished in recent decades. This study aims to empirically investigate whether product market overlap (PMO) in a supply chain moderates the effect of customer bargaining power on supplier profitability.

This study uses large-scale secondary data from multiple databases. Econometric panel data techniques are used to test the hypotheses.

The results show that PMO in a supplier–customer relationship and PMO in supplier–supplier relationships both exacerbate the negative effect of the bargaining power of customers on supplier profitability.

This study contributes to the field of supply chain management. This study brings new insights into the ongoing debate surrounding the relationship between customer bargaining power and supplier profitability. The study also contributes to the literature on supply chain networks by showing the impact of indirect supply chain relationships.

In the pursuit of co-exploration, the strength and brokerage dimensions of dyadic ties create a novelty–action trade-off: tie strength facilitates coordination but constraints novelty, while tie brokerage expands knowledge diversity but aggravates coordination difficulty. This study contributes towards a better understanding of this tension by comparing two dimensions of relational ties and examining their contingent values given different environmental factors and exchange characteristics.

The authors used survey data from 194 matched buyer–supplier dyads in China's high-tech industries and employed hierarchical moderated regression analysis to test the proposed hypotheses.

The authors find that compared with tie strength, tie brokerage has a stronger positive effect on co-exploration. Moreover, guanxi importance amplifies the effect of tie strength while decreasing the value of tie brokerage. As market uncertainty increases, the role of tie brokerage becomes more salient. Additionally, tie strength becomes less effective when buyer centralization is high, whereas tie brokerage exerts a stronger impact on co-exploration when an exchange is highly formalized.

This study contributes to the supply chain literature by adopting a relational perspective to integrate relational ties into the study of buyer–supplier co-exploration and by elaborating on the different implications of tie strength and tie brokerage in resolving the novelty–action trade-off. Furthermore, it provides a more nuanced understanding of when distinct dimensions of relational ties are effective, by clarifying boundary conditions in terms of environmental factors and exchange characteristics.

Social media (SM) networks offer a golden opportunity for firms that particularly engage in international activities to set up sustainable customer relationships and improve competitiveness. The purpose of this study is to examine the influence of SM adoption on the export intensity (EI) of firms listed on Borsa Istanbul (BIST) for the years 2010–2020. The authors use social media index (SMI) to measure SM adoption and firm size (FSize) as a moderator on exploring the interaction of SM and EI.

Using a sample of 150 firms listed on the BIST Industrials Index, this study explores how the adoption of SM affects EI by using panel data analysis over the period of 2010–2020.

The results indicate that the SMI has a positive and significant effect on the EI. FSize positively moderates the interaction of SMI and EI, indicating that large firms benefit more from the SM in increasing export performance. The findings reflect high potential of EI improvement through adopting right SM policies in emerging markets.

The sample covers only public companies listed on the BIST Industrials Index. Future studies may extend the coverage and include multiple emerging markets to draw generalized results for the export-oriented firms. This research also analyzes solely four SM networks, i.e. Facebook, Instagram, Twitter and YouTube. However, there are many other SM networks that firms use in online marketing in foreign markets. Finally, this research did not discuss the potential factors that could influence the use of SM in emerging market firms.

This study denotes the significant role of SM adoption on the EI of firms in an emerging market setting from the perspective of resource-based view. It presents an insightful approach in understanding the mission played by SM networks in enhancing the EI of Turkish firms. Policymakers may use the findings to develop public support programs to promote the adoption and implementation of the SM among exporting firms in emerging markets.

The study provides evidence on the effects of SM adoption on the EI from the perspective of emerging countries. It also helps to gain a deeper understanding of how different SM platforms contribute to the internationalization of firms.

This study explores the impact of carbon neutrality policies on Chinese stock market from a supply chain perspective. Specifically, the carbon policy refers to the Action Plan for Carbon Dioxide Peaking Before 2030 (the Plan) in China.

This paper is based on the resource dependence theory (RDT) and applies the event study methodology to explore the impact. It uses the cross-sectional regression model to reveal the moderating effect of supply chain characteristics on the stock market reaction with a data set of 354 listed companies in A-shares (excluding ChiNext and SME board).

The promulgation of the Plan shows a significant negative stock market reaction. Customer concentration, out-degree centrality and smart supply chains (SSCs) have a significant negative moderating effect. In-degree centrality and supplier concentration have a significant positive moderating effect. Furthermore, the conclusions concerning out-degree centrality, supplier concentration and SSCs are counterintuitive.

For policymakers, the study results provide a reference for evaluating the carbon neutrality policy. For managers, this study provides theoretical support for strategically adjusting and designing supply chain structures in the context of advocating peak carbon dioxide emissions and carbon neutrality.

This paper is the first attempt that includes the supply chain structure factors into the impact of carbon neutrality policies on the stock market.

Successful adoption of building information modelling (BIM) by early adopters is crucial for its effective diffusion. The purpose of this study is to develop a framework of understanding that supports contextualized understanding of BIM adoption decisions in a BIM infant industry. The framework bridges the gap in current knowledge in terms of the absence of such a framework, which has hindered the structured understanding of the BIM decision of an adopter, curtailing the appropriate strategizing of their BIM adoption.

The study focuses on a BIM infant industry, where early adopters begin using BIM, allowing insights into this crucial initial stage of adoption. Identifying affordances as a versatile concept that could effectively represent not only what an adopter perceives and expects from BIM implementation, but also, what the adopter, in fact, can achieve from it, an affordance-led framework of understanding (AFU) was developed to comprehensively capture varying dynamics of BIM decision process. The study took a qualitative retroductive approach to theory with semi-structured interviews to gather necessary data from a sample of BIM adopters purposively selected to maximize the breadth and depth of data.

The study concludes by identifying and defining pertinent affordances as a new concept and a compulsory state for BIM adoption. Findings further demonstrate that existing theories can be linked to the AFU to strategically direct the affordances dynamics towards the pertinent state.

The AFU enables a deeper contextualizable view of innovation adoption that was absent in existing innovation studies. It significantly enhances the precision of strategizing BIM adoption compared to previous approaches, enabling adopters to plan and implement BIM in a manner that aligns well with their expectations and specific conditions.