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Social media facilitates the communication and the relationship between healthcare professionals and patients. However, limited research has examined the role of social media in a physicians' online return. This study, therefore, investigates physicians' online economic and social capital return in relation to physicians' use of social media and consumer engagement.

Using ordinary least squares (OLS) regression with fixed effects (FE) and panel data collected from Sina Weibo and Sina Health, this study analyzes the impact of physicians' social media use and consumer engagement on physicians' online return and the moderation effect of professional seniority.

The results reveal that physicians' use of social media and consumer sharing behavior positively affect physicians' online economic return. In contrast, consumer engagement positively impacts physicians' online social capital return. While professional seniority enhances the effect of physicians' social media use on online economic return, professional seniority only enhances the relationship between consumers' sharing behavior to the posts and physicians' online social capital return when professional seniority comes to consumer engagement.

This study reveals the different roles of social media use and consumer engagement in physicians' online return. The results also extend and examine the social media affordances theory in online healthcare communities and social media platforms.

The online health community's success depends on doctors' active participation, so it is essential to understand the factors that affect doctors' knowledge contribution behavior in the online health communities. From the perspective of peer effect, this paper discusses the influence of focal doctors' peers on focal doctors' knowledge contribution behavior and the mechanism behind it. This paper aims to solve these problems.

Empirical data of 1,938 doctors were collected from a Chinese online health community, and propensity score matching and ordinary least squares were employed to verify the proposed theoretical model.

The results show that the presence of focal doctors' peers in online health communities has a positive effect on the knowledge contribution behavior of focal doctors, and the economic returns and social returns of focal doctors' peers have a significant mediating effect.

This paper discusses focal doctors' knowledge contribution behavior from the perspective of peer effect. It enhances the understanding of focal doctors' behavior in the online health communities by exploring the mediating role of their peers' economic and social returns. The results of this paper extend the research in the field of peer effect and online health and provide management implications and suggestions for online health platforms and doctors.

The paper provides a detailed historical account of Douglass C. North's early intellectual contributions and analytical developments in pursuing a Grand Theory for why some countries are rich and others poor.

The author approaches the discussion using a theoretical and historical reconstruction based on published and unpublished materials.

The systematic, continuous and profound attempt to answer the Smithian social coordination problem shaped North's journey from being a young serious Marxist to becoming one of the founders of New Institutional Economics. In the process, he was converted in the early 1950s into a rigid neoclassical economist, being one of the leaders in promoting New Economic History. The success of the cliometric revolution exposed the frailties of the movement itself, namely, the limitations of neoclassical economic theory to explain economic growth and social change. Incorporating transaction costs, the institutional framework in which property rights and contracts are measured, defined and enforced assumes a prominent role in explaining economic performance.

In the early 1970s, North adopted a naive theory of institutions and property rights still grounded in neoclassical assumptions. Institutional and organizational analysis is modeled as a social maximizing efficient equilibrium outcome. However, the increasing tension between the neoclassical theoretical apparatus and its failure to account for contrasting political and institutional structures, diverging economic paths and social change propelled the modification of its assumptions and progressive conceptual innovation. In the later 1970s and early 1980s, North abandoned the efficiency view and gradually became more critical of the objective rationality postulate. In this intellectual movement, North's avant-garde research program contributed significantly to the creation of New Institutional Economics.

Measuring shared value (SV) created in innovation ecosystems (IEs) is increasingly relevant but complex, given the multidimensional and multiactor nature of both concepts, which challenges traditional performance measurement systems (PMSs). Moving from this gap, the authors propose an integrated approach to extend the balanced scorecard (BSC) for measuring and monitoring SV creation at IE level.

The proposed approach combines the most recent contributions on PMS in IEs and SV to define perspectives and dimensions that are better suited to deal with the nature of both IEs and SV. The approach is also applied to the real case (Alpha) of an Italian IE through a step wise method. Starting from the IE vision, the authors identify in the strategy map the specific objectives related to each perspective/dimension combination and then associate a performance indicator with each objective.

The resulting SV BSC is composed of indicators interconnected along different perspectives and dimensions. The application of the approach to the real case proves its feasibility and highlights characteristics, advantages and disadvantages of the SV BSC when used at IE level. The authors also provide guidelines for its application to other IEs.

The study contributes to the research on PMS by introducing and applying to a real case an integrated approach to assess SV in IEs, overcoming the shortcomings of PMS framed for single firms. It can be of interest for both researchers in the field of ecosystems value creation and practitioners managing or promoting such complex structures.

Despite the wide use of quantitative assessment to identify the relationship between green logistics (GL) practices and the sustainability performance (SP) of firms, results of these studies are inconsistent. A lack of theoretical foundation has been cited as a potential reason for these contradictory findings. This study aims to explore the relationship between GL practices and SP qualitatively and to provide a theoretical foundation for this link.

Following a multi-methodology approach, the authors used the grounded theory method (GTM) to investigate perceived relationships through qualitative analysis and adopted the system thinking (ST) approach to identify causal relationships using causal loop diagrams (CLDs).

The authors identified different sustainability practices under three major categories: logistics capabilities, resource-related practices and people-related practices. This analysis showed the relationships among these practices are non-linear. Based on the results, the authors developed three propositions and introduced a theoretical foundation for the relationship between GL practices and SP.

Managerial personnel can use the theoretical foundation provided by this study when making decisions on GL practices adoption. This theoretical foundation suggests applying a holistic approach that can help optimize SP by selecting suitable practices. On the other hand, researchers can use a multi-methodology approach suggested by this study to explore complex social issues.

This study contributes to the knowledge from a methodology perspective as no previous studies have been conducted to identifying the relationship between GL practices and SP by combining GTM and ST approaches. This combination can be extended to build system dynamics models for sustainable logistics impacts bringing novelty to the research field of sustainable logistics.

This paper aims to conduct research to examine the impact of Internet adoption on the productivity of firms in non-urban China.

The study investigates the impact of Internet adoption on firms' productivity in non-urban China. More specifically, the authors conduct a comprehensive and rigorous study while addressing concerns related to firm-level endogeneity by utilizing firm-level panel data. Information on firms in non-urban areas is collected from China's Annual Surveys of Industrial Firm data. For robustness, the authors implement the instrumental variables approach and propensity score matching estimations to strengthen the evidence for suggestive causal inference. Furthermore, the authors also examine the mechanisms and group heterogeneity.

Evidence indicate that the adoption of Internet technology positively impacts the total factor productivity (TFP) of firms in non-urban areas. According to the heterogeneity analysis, the marginal effect of Internet adoption is more significant and pronounced for labor-intensive, private and small-scale manufacturing firms. Moreover, additional evidence suggest that Internet adoption is beneficial for non-urban firms in expanding their business and enlarging their market. It has also been found that the positive effect of Internet adoption on firms' TFP is amplified by expanding public infrastructure.

The current study supports that the informatization strategy benefits non-urban firms and promotes rural revitalization. The findings suggest the possibility of firms borrowing market size from the closest cities and supporting the ongoing policies of investing in broadband infrastructure to narrow the urban-rural digital gap in China.

Identifying the barriers that hinder the circularity in the wine industry in Bulgaria and proposing a preliminary circular economy (CE) index for ranking in order of importance the barriers for providing a suitable and replicable model through the contextualization of the study applied at the territorial level.

The article adopts a Fuzzy AHP methodology based on 6 main barriers and 19 sub-barriers to find the weights of the barriers and rank them. The study was conducted in Bulgaria, and it consists of a questionnaire with pairwise comparisons to ask for expert opinions of members of the Executive Board of the National Association of Bulgarian Vinegrowers and additional members of the regional vine and winegrowing chambers.

The study identifies training and education and environmental barriers as the most important among the main barriers whereas, economic barriers are assessed as low impact. Considering the sub-barriers, lack of consumer awareness and interest, unclear taxation for CE, lack of knowledge about environmental emissions (carbon, water etc.) within the supply chains, and lack of digital trends are determined as the most significant sub-barriers.

The preliminary CE index can be practically used and tested, when necessary, by each winemaker according to their understanding and opinion of CE barriers and sub-barriers. The ranking within the CE index can lead winemakers also to decisions related to the company's social policy.

The study uses the Fuzzy AHP methodology with expert opinions to analyze and weigh the main barriers to achieving CE at the micro-level.

This study evaluated the effects of adherence to social missions and relational outcomes on willingness to pay for products from social enterprises.

The study’s conceptual model was based on the social resource–based view. Three social enterprises in Taiwan were analysed, and the determinants of willingness to pay for products from these enterprises were investigated. An online survey was conducted, and 404 valid responses were collected and analysed using structural equation modelling. The moderating effect of sustainability orientation was evaluated using the multigroup method.

The results indicated that adherence to social missions was a critical predictor of relational outcomes and willingness to pay. In addition, sustainability orientation positively moderated the effect of relational outcomes on willingness to pay.

This study enriches the literature by applying the social resource–based view to the context of social enterprises. The study findings have key implications for managers and practitioners of social enterprises seeking to build relationships with stakeholders.

Business processing organizations are continuously focusing on customer knowledge management (CKM) due to the competitive business environment. CKM is being recognized as an essential source for improving organizational performance (OP). This study focuses on understanding CKM and its impact on OP. It also explores the moderating role of big data analytics capability (BDAC) on OP. Moreover, the mediating role of operational and strategic agility on OP was empirically tested.

Positivist research doctrine has been deployed and data was collected using structured survey using cross-sectional approach. The data were collected from 392 employees working in business processing software houses in the emerging market of Pakistan. Structural equation modeling (SEM) was deployed for the estimation of theoretical model.

The study's findings indicate that CKM has no significant impact on OP; although the presence of BDAC moderates the relationship significantly. Moreover, the study recommends that CKM and BDAC to be tested in the project environment, considering organization's operational and technical capabilities.

The study proclaims that BDAC can be helpful for organizations to improve their capabilities and output. Likewise, enhancing BDAC reduces failure rates of the projects.

This study provides a critical theoretical and practical contribution to project management in business processing organizations. Big data analytics can be of value for diagnostic, predictive and prescriptive analysis in the project management context.

Although supporting and assessing the non-academic “impact” of research are not entirely new developments in higher education, academics and research institutions are under increasing pressure to produce work that has a measurable influence outside the academy. With a view to supporting the solution of complex societal issues with evidence and expertise, and against the background of increased emphasis on impact in the United Kingdom's 2021 Research Excellence Framework (REF2021) and a proliferation of impact guides and tools, this article offers a simple, easy to remember framework for designing impactful research. We call this framework “The 7Cs of Impact” – Context, Communities, Constituencies, Challenge, Channels, Communication and Capture.

Drawing on core elements of the Policy Institute at King's College London's Impact by Design training course and the authors' practical experience in supporting and delivering impact, this paper outlines how this framework can help address key aspects across the lifecycle of a research project and plan, from identifying the intended impact of research and writing it into grants and proposals, to engaging project stakeholders and assessing whether the project has had the desired impact.

While preparations for current and future REF submissions may benefit from using this framework, this paper sets out the “7Cs” with a more holistic view of impact in mind, seeking to aid researchers in identifying, capturing, and communicating how research projects can and do contribute to the improvement in society.