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Organizations remain a vital sociological topic, but organizational sociology, as a subfield, has evolved significantly since its inception. In this paper, I argue that organization sociology is becoming increasingly disconnected from organizational theory, as currently conceived. The focus of sociological research on organizations has become more empirically grounded in the study of social problems and how organizations contribute to them. Sociologists continue to see organizations as important actors in society that play a role in shaping social order and as contexts in which social processes play out. I propose two main sociological approaches for organizational research, which I describe as “organizations within society” and “society within organizations.” The first approach examines the role of organizations as building blocks of social structure and as social actors in their own right. The second approach treats organizations as platforms and locations of social interactions and the building of community. These approaches are somewhat disconnected from the sort of grand theorizing that characterizes much of organizational theory. I argue that the problem-oriented sociology of these two approaches offers a vital way for organizational scholars to expand and theoretically revitalize the field.

There are often relational interactions in teams that lead to and drive the spread of work engagement. Despite the potential social impacts on work engagement, such as coworker support and organizational citizenship behaviors within teams, they have rarely been studied from a social perspective using social network analysis (SNA). This review draws on the crossover model and conservation of resources theory to suggest that the effects of social diffusion and the exchange of resources can impact Well-Being, specifically work engagement, in teams and that SNA can help measure those social interactions. Linking several network concepts – closeness centrality, density, degree centrality, and tie strength – to work engagement propositions related to the spread of work engagement as well as the number and quality of network ties, this review elucidates the potential for integrating SNA methodology to the field of Well-Being for teams.

Online open innovation platforms provide opportunities for product users to participate in the innovation process and contribute their ideas to the platform. Nonetheless, they also present a significant challenge for platform managers, who select high-quality innovations from a massive collection of information with diverse quality.

In this study, the authors employed a machine learning method to automatically collect a real dataset of 2,276 innovations and 30,004 detailed comments from the online platform of IdeaExchange and then conducted empirical experiments to verify the study hypothesis.

Results show that extraversion, conscientiousness and openness to experience positively and directly influenced the quality of their innovation. Furthermore, an individual's social network position mediated among extraversion, neuroticism, conscientiousness and openness to experience and the quality of an innovation.

Results showed that extraversion, conscientiousness and openness to experience positively and directly influenced the quality of their innovation. Furthermore, an individual's social network position mediated among extraversion, neuroticism, conscientiousness, openness to experience and the quality of innovations.

This study combined the Big Five personality traits theory and social network theory to examine the association between user intrinsic personality traits, social network position and the quality of their innovative ideas in the context of online innovation platforms. Additionally, the findings provide new insights for platform managers on how to select high-quality innovation information by considering user personality traits and their social network position.

The prevalence of independent contractors in the US workforce is growing. This research examines the social environment and career outcomes of labor and employment arbitrators, a unique profession of high-skilled and high-status independent contractors who play a significant role in facilitating organizational justice. Previous research has focused on the employment relationships that independent contractors have with hiring organizations and the characteristics of individuals who become independent contractors; however, little attention has been given to how relational factors influence the career outcomes of high-skilled independent contractors or how such influences differ by gender. Building upon theories of social networks and unequal network returns (UNR), our study investigates the informal social relationships among arbitrators, the association between interpersonal relationship patterns and arbitrators’ career success, and how these associations vary based on gender.

A social network survey is used to collect the social networks, attitudes and fee information of 407 labor and employment arbitrators working in North America. A multi-level regression analysis was used to examine the proposed relationships among social networks, gender and career outcomes of the arbitrators.

We discovered that occupying a central position within advice networks is positively associated with occupational satisfaction. On the other hand, having strong ties is associated with achieving high employment arbitration fees. Notably, we found that the advantages of strong ties for arbitration fees are comparatively weak for female arbitrators relative to their male counterparts.

This research examines the relationship between social networks and career outcomes for independent contractors in the unique context of arbitrators. It further highlights inequalities experienced by female arbitrators in a male-dominated profession where their social networks offer fewer rewards relative to their male counterparts.

Many studies on entrepreneurial intention have explored the impact of different factors; however, few have examined the relationship between and impact mechanisms of informal social networks and entrepreneurial intention. This study aimed to bridge this research gap.

This study is based on social capital and ambidexterity theories. After surveying the data of 302 college students from different provinces and universities in China, a mediation model for research is constructed.

Informal social networks help enhance college students’ entrepreneurial intentions, whereas entrepreneurial learning (exploratory and exploitative learning) partially mediates this relationship.

This study empirically explores the impact of informal social networks on the entrepreneurial intentions of Chinese college students and indicates the crucial role played by entrepreneurial learning (divided into exploratory and exploitative learning).

The study aims to advance the current state-of-the-art and identify the main theories, methodologies and research gaps. In this article, we examine the network perspective on resource interaction in management, systematically reviewing 92 published articles in peer-reviewed journals from 2013 to 2023.

This systematic literature review is a methodical, transparent and replicable approach to choosing and evaluating scientific works. We have analyzed and combined all the available evidence, giving a comprehensive overview of the current state of the literature.

The subject is still under development in the literature, so there are still some research gaps, such as lack of information about markets and competitiveness. The main thematic groups we found included the firm’s social media, business performance, innovation in organizations, social media and big data, network analysis and artificial intelligence.

It is important to note that the subject is still under development in the literature, so there are still some research gaps, such as some lack of information about markets and competitiveness, the online presence of luxury brands and the impact of technology on their performance, which is not approached in the literature; some companies find it challenging to adopt new technologies; what level of technology and academic specialization is needed to measure performance; how to measure the level of credibility of information shared on the internet and the psychological impact of artificial intelligence on future generations and communication.

Managers can use this study to improve network strategies for better communication with diverse stakeholders and adopting new technologies, especially to enhance skills among older generations. Networks play a crucial role in fostering social capital among firms, facilitating knowledge management and improving the quality of processes. The resilience of business networks serves as a mediator between responsible innovation and a company's performance. Managers may consider expanding the use of networks to other areas of management to promote organizational collaboration and professional networking. Employees can also act as brand ambassadors for their organizations, helping to establish informal networks and increase visibility.

An integrative framework and a future research agenda are presented, with the potential to advance our understanding in this field.

In social media, crisis information susceptible of generating different emotions could be spread at exponential pace via multilevel super-spreaders. This study aims to interpret the multi-level emotion propagation in natural disaster events by analyzing information diffusion capacity and emotional guiding ability of super-spreaders in different levels of hierarchy.

We collected 47,042 original microblogs and 120,697 forwarding data on Weibo about the “7.20 Henan Rainstorm” event for empirical analysis. Emotion analysis and emotion network analysis were used to screen emotional information and identify super-spreaders. The number of followers is considered as the basis for classifying super-spreaders into five levels.

Official media and ordinary users can become the super-spreaders with different advantages, creating a new emotion propagation environment. The number of followers becomes a valid basis for classifying the hierarchy levels of super-spreaders. The higher the level of users, the easier they are to become super-spreaders. And there is a strong correlation between the hierarchy level of super-spreaders and their role in emotion propagation.

This study has important significance for understanding the mode of social emotion propagation and making decisions in maintaining social harmony.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-03-2024-0192.

The purpose of this paper is to clarify the ontological assumptions regarding the concept of agency and sociality within business networks in the Industrial Marketing and Purchasing Group (IMP) research by refining these assumptions with a relational sociological (RS) perspective. This paper reinforces the robustness of the actors-resources-activities (ARA) model with an in-depth investigation of the actor dimension, where local interactions between interdependent individuals play a central role in building common futures within business networks through organisational reflexivity.

This conceptual paper investigates the social ontology of research. It challenges the implicit assumptions of IMP research regarding agency and sociality within business networks with a problematisation strategy (Sandberg and Alvesson, 2011). Combining IMP views on agency with the RS perspective, it sets this combined framework as an alternative for the analysis of sustainability and ethics within business networks.

Combining IMP research and an RS perspective allows us to extend the knowledge of sociality within business networks, highlighting the centrality of meaning sharing in the process of network change. By focusing on symbolic interaction processes, an RS perspective contributes to a deeper theoretical understanding of the relationship between local communication and business network patterns. Combined with an IMP perspective on agency, it provides researchers with an alternative conceptual framework for examining sustainability by considering ethics and leadership dialectically.

RS is still an emerging stream within sociology, characterised by diverse views. Not all relational sociologists, as scientists, feel obliged to engage with sustainability research. Thus, the paper is a two-sided invitation to IMP researchers and relational sociologists to delve into the adaptation processes in business networks in highly uncertain environments.

RS focusing on the centrality of communication in local interactions, business network researchers can show that organisational leaders are not the ones with a charismatic vision isolated from any natural and social environment; rather, they are the people with “the capacity to assist the group to continue acting ethically, creatively and courageously in the unknown” (Stacey,2013).

Adopting an RS perspective on agency in business networks can help managers and researchers determine how business networks can be managed in a more sustainable way. Combined with a dialectical and processual understanding of ethics, the IMP-RS perspective emphasises day-to-day local communication practices within and between organisations that challenges microeconomic views on nature, strategy, ethics and leadership. This paper thus places the social at the centre of sustainability approaches.

From an RS perspective, business networks are analysed as patterns of interactions between many organisations and individuals. The value of this conceptual paper is in showing that change within business networks is negotiated through local interactions and symbolic communication between individuals. Thus, it suggests the need to combine the individual and the organisational levels to analyse agency within business networks and to examine the adaptation of business networks to sustainability.

The objective of this research is to methodically categorize the various types of Open Government Data (OGD) stakeholders, and to elucidate the intricate network relationships among OGD stakeholders, along with the underlying mechanisms that shape their formation.

To comprehend the collaboration mechanism of stakeholders in the OGD ecosystem, the authors constructed an OGD multi-stakeholder relationship network by using data from the Shandong Province Data Application Innovation and Entrepreneurship Competition. Based on the structural social capital theory and exponential random graph model (ERGM), an analytical framework was established to explore the formation mechanism of the collaborative network of OGD multi-stakeholder.

The results indicate that multi-stakeholder collaboration among government, enterprises and the public is crucial for achieving OGD goals. Organizing OGD competitions serves as an effective mechanism for solidifying and maintaining relationships among OGD stakeholder groups. Degree centrality and structural parameters reveal a Matthew effect within the connection process of the OGD ecosystem's collaborative network. Additionally, there is evidence of agglomeration and transferability within the network's structure.

This study contributes to the understanding regarding the formation mechanism of OGD stakeholders. The findings have implications for developing multi-stakeholder relationship networks of OGD and driving OGD initiatives.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-06-2023-0284

This study aims to investigate the causal complexity of ECF investors’ peer effect through two different paths of structural social influence.

Using the fuzzy-set qualitative comparative analysis (fsQCA) approach, we employ 157 samples from a Chinese ECF source to explore how peer-effect are caused by both informational and normative mechanisms.

The findings suggests that there are multiple configurations could lead to ECF investors’ high level peer-effect through both informational and normative mechanisms, and the informational mechanism' role depends on the normative mechanism, while the normative mechanism could lead to peer-effect independently.

The findings enrich the literature on ECF investors’ behaviors by revealing the diverse configurations resulting in investors’ peer-effect and shedding new light on investigating the decision-making driven by information asymmetry and relationship settings for individuals at a disadvantage.

This is the first study that investigates the multiple-driven of ECF investors’ decision-making and the importance of mutual norms in individuals' decision-making by complex network analysis approach and qualitative comparative analysis from the perspective of complexity. The results reveal the complexity of investors’ decision-making in ECF.