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This paper aimed to study business model innovation by a work-integration social enterprise (WISE). Specifically, the study investigated how the organization developed novel value propositions and created and delivered value for multiple stakeholders.

An in-depth qualitative study was conducted at Foreword, a for-profit organization that uses persons with disabilities, mental health conditions and special needs. Data was drawn from semi-structured interviews with stakeholders of the organization and several secondary information sources.

The authors’ inductive analysis revealed the existence of an innovative and powerful business model that is integrated by the organization’s overarching social mission and anchors its ability to deal with multiple conflicting logics such as economic, social, ecological sustainability and community development, to co-create value with and for multiple stakeholders.

The study underscores the need for business model innovation through enhancing value creation for multiple stakeholders for for-profit WISEs. Since the analysis and resulting model in the study are based on a single organization in a geographically small, affluent country with a hands-on government, they may need to be modified before applying in other contexts.

The study identifies several pointers for other social enterprises – specifically the need for managers to build business models appropriate for their organizational and environmental contexts.

The study’s originality stems from the adoption of a stakeholder lens to examine business model innovation. It also proposes an integrative conceptual model of the antecedents and outcomes of business model innovation.

This study aims to investigate how social entrepreneurial role models influence social entrepreneurial self-efficacy, social entrepreneurial intent and social entrepreneurial action, with moral obligation as a moderator.

A cross-sectional survey of 261 pupils in the South African province of the Eastern Cape was used in the research study. Structural equation modeling was used to test hypotheses.

The research revealed that having social entrepreneurial role models has a positive impact on both social entrepreneurial self-efficacy and social entrepreneurial intent. In addition, a connection was found between social entrepreneurial intent and entrepreneurial action. The influence of moral obligation was found to be a positive and a significant moderator. Moreover, the association between social entrepreneurial role models and social entrepreneurial intent was mediated by social entrepreneurial self-efficacy.

The findings are not generalizable to nonstudent samples because students constituted the sample for gathering data. Future study therefore requires considering nonstudents to generalize the outcomes. This research should be replicated in other South African provinces and other developing countries for comparative outcomes.

Since social entrepreneurial role models have been practically linked to social entrepreneurship intent and entrepreneurial efficacy, understanding the factors that influence student’s decision to start a social enterprise is critical in South Africa to develop targeted interventions aimed at encouraging young people to start new businesses. Policymakers, society and entrepreneurial education will all benefit from the findings.

This study contributes to bridging the knowledge gap as it investigates how social entrepreneurial role models influence social entrepreneurial self-efficacy, social entrepreneurial intent and social entrepreneurial action, with moral obligation as a moderator. Encouraging social entrepreneurship among South African youth would also help address societal issues. This is a pioneering study in the context of an emerging economy such as South Africa, where social entrepreneurship is so integral.

This study aims to structure a model for integrating social value into strategic management based on identifying the critical success factors (CSF) for such integration in the investigated companies.

This research was based on the actor–network theory. Through a rigorous approach to the case study methodology in a two-stage process lasting 21 months, we carried out this study.

Companies that use the polyhedral social accounting model in their strategic management processes do so without a reference model. We identified CSF for integrating social value, which was incorporated into a protocol model based on stakeholder theory and the use of social accounting.

Practitioners can use the proposed model to maintain the alignment of strategic performance and purpose. Using social accounting based on indicators and financial proxies allows managers to incorporate social value into strategic management in terms of financial value.

The institutional demand for social information is based on the growing sensitivity of companies. Aligning social values with business strategies contributes to social sustainability.

This study focuses on an unresearched emerging phenomenon. Since the first approach to stakeholder theory, the development of a stakeholder-oriented strategy has faced the lack of a stakeholder accounting system. The polyhedral model of social accounting could help overcome this problem as it provides information that allows a novel and innovative method to make a stakeholder-oriented strategy effective.

Mega construction projects (MCPs), which play an important role in the economy, society and environment of a country, have developed rapidly in recent years. However, due to frequent social conflicts caused by the negative social impact of MCPs, social risk control has become a major challenge. Exploring the relationship between social risk factors and social risk from the perspective of risk evolution and identifying key factors contribute to social risk control; but few studies have paid enough attention to this. Therefore, this study aims to systematically analyze the impact of social risk factors on social risk based on a social risk evolution path.

This study proposed a social risk evolution path for MCPs explaining how social risk occurs and develops with the impact of social risk factors. To further analyze the impact quantitatively, a social risk analysis model combining structural equation model (SEM) with Bayesian network (BN) was developed. SEM was used to verify the relationship in the social risk evolution path. BN was applied to identify key social risk factors and predict the probabilities of social risk, quantitatively. The feasibility of the proposed model was verified by the case of water conservancy projects.

The results show that negative impact on residents’ living standards, public opinion advantage and emergency management ability were key social risk factors through sensitivity analysis. Then, scenario analysis simulated the risk probability results with the impact of different states of these key factors to obtain management strategies.

This study creatively proposes a social risk evolution path describing the dynamic interaction of the social risk and first applies the hybrid SEM–BN method in the social risk analysis for MCPs to explore effective risk control strategies. This study can facilitate the understanding of social risk from the perspective of risk evolution and provide decision-making support for the government coping with social risk in the implementation of MCPs.

This paper aims to analyse the advancement of social enterprises in Indonesia by providing comprehensive insights into crucial aspects of social enterprises such as stakeholder interests, business models, challenges and future objectives.

Using a case study approach, the study investigates four social enterprises using a narrative methodology to gain a detailed understanding of their operations. By adopting a systems perspective, the research uncovers the dynamics among stakeholders, challenges and the evolution of business models, offering a nuanced view of the social enterprise ecosystem.

The findings demonstrate that social enterprises in Indonesia emerge with a noble mission to address unmet community needs. Notably, effective collaboration among diverse stakeholders, including both the private and public sectors, plays a crucial role in achieving the missions of these social enterprises. The study highlights the significance of social enterprises in bridging gaps left by the government and contributing to positive societal impact.

By deepening the understanding of social enterprise development in Indonesia, this research provides valuable insights for policymakers, practitioners and researchers in fostering their growth and effectiveness. Ultimately, it contributes to the broader knowledge on social entrepreneurship and sustainable development.

Social enterprises (SEs), part of the third sector, are hybrid organizations combining the pursuit of social scopes with commercial business solutions. In seeking for social value, they pair for-profit and non-profit features, thereby compensating for shortcomings of both the public sector and the commercial market. Therefore, the performance management of such organizations assumes a crucial relevance. Among the available tools, the balanced scorecard (BSC) aims to capture performance multidimensionality, at the same time fostering legitimacy towards stakeholders.

In general terms, the BSC has the limit to follow a linear and static logic of construction and functioning. For this reason, scholars combine it with system dynamics (SD) to create dynamic balanced scorecards (DBSCs). However, literature seems to devote scarce attention to the adoption of such analytic tools in the third sector, particularly in SEs. This chapter wants to contribute to bridging this gap by proposing a tailored application in the context of a social cooperative, active in the clothing recycle and in the re-integration of disadvantaged social categories. By referring to previous literature about DBSC, two modelling strategies are identified: the BSC-driven and the SD-driven. The latter, based on inductive reasoning, is the one privileged for the study because of its wider flexibility. The modelling outputs consider different perspectives than the ones within traditional BSCs, contain elements of circular causality and show how financial and non-financial performances interplay and co-determine each other. Insights from the proposed model can be useful to support both decision-making and stakeholder engagement.

This study explores the influence of the Top Management Team (TMT) social capital on business model innovation in business ecosystems.

This study examines the impact of internal and external TMT social capital on enterprises’ business model innovation, explores the relationship between internal and external TMT social capital, and investigates how business ecosystem health moderates the relationship between external TMT social capital and enterprises’ business model innovation. These hypotheses are proposed and tested using a hierarchical regression analysis with data from 168 Chinese firms.

First, both internal and external TMT social capital exert a significantly positive influence on an enterprise’s business model innovation. Second, internal TMT social capital positively contributes to the development of external TMT social capital, affecting business model innovation. Finally, the moderating effect of business ecosystem health on the relationship between external TMT social capital and business model innovation depends on the dimensions. Specifically, the productivity of the business ecosystem negatively moderates this relationship, whereas the niche creation capability of the business ecosystem has a positive moderating effect.

These findings enrich prior research on business model innovation within the business ecosystem, thoroughly exploring the critical role of TMT social capital. This study reveals the diverse impacts of internal and external TMT social capital on business model innovation and the intricate relationship between these elements. Furthermore, it emphasizes that the success of enterprise’s business model innovation within a business ecosystem depends on the alignment and adaptation to dynamic ecosystem conditions. By presenting these insights, this study provides valuable practical implications for enterprises aiming to cultivate social capital within business ecosystem to facilitate business model innovation.

This article aims to provide a new paradigm for thinking about disability, which can be applied to other social groups, historically invisible and whose rights have been violated. The Model of Communication and Legitimate Acknowledgement of Disability (MCLAD) tries to break with the logic of continuing to add terms and euphemisms around the issue. The author proposes a new line to think about relationships in democratic societies. Taking the step from inclusion to acknowledgment does not imply another way of naming the disability, but rather addressing the problem from concrete practices of recognition. In order to arrive at the proposal of the MCLAD, the author will make a journey that addresses how disability has been understood throughout history, according to the study of different authors.

Disability has been perceived over time in many different ways, which led some authors to build models in order to explain certain social approaches to the subject. This article traces a journey from the first model to the present. In turn, it proposes a new one: the MCLAD, which is characterized by a paradigm shift: moving from inclusion to acknowledgment. To substantiate this, three categories are presented: acknowledgment, distance and vulnerability. The different theories and concepts that support the model will also be presented. The purpose of the MCLAD is to deepen the idea of empowering people with disabilities as part of today’s diverse societies and closing historically constructed gaps which are still in force.

The MCLAD proposes three categories: acknowledgment, distance and vulnerability. In turn, in each of them, there is a link between three axes: person with disability/society/state, analyzing the dynamics of these relationships presented, will provide us with the necessary elements to understand the proposed turnaround.

Although the different models will be presented according to the chronological order of definition over time, all of them still coexist today, in many cases in hybrid and naturalized ways in social practices. Recognizing what practices and conceptions are behind each model, allows us to recognize and resignify the ways of communicating toward people with disabilities (PWD) and on the issue of disability. It also allows other specific recognition practices, such as the legitimization of public policies from the laws that protect them.

To replace the paradigm of inclusion for that of acknowledgment and to recognize how the three categories (acknowledgment, distance and vulnerability) are linked with the three issues (PWD – society and state) allowing specific relationship and practises of legitimate or not acknowledgement. When the author affirms that the MCLAD implies a paradigm shift, the author means that it provides some elements from legitimate acknowledgment to complement aspects which inclusion does not address, and that the other models did not take into account. These are: the self-acknowledgment of people with disabilities and the sense of responsibility linked to empowerment; vulnerability as a category of reconciliation, which is typical of every human being; the contribution of the Phenomenology of the Among to think about how relationships and practices actually occur in society and, finally, the role of the state, which must watch over all its citizens, avoiding the distance between discourse (laws) and practices and, above all, avoiding exclusion from the system due to lack of monitoring of actions.

It should be noted that the MCLAD starts from the idea of language as a constructor of realities and conceives communication as an enabler of the acknowledgment of the other, who is also subject to rights. At the same time, it vindicates the voice of people with disabilities as protagonists (“Nothing about us without us”) and fosters the need for PWD themselves to be active in their struggles, promulgating legitimate acknowledgment. At the same time, it points out that the empowerment of PWD implies not only that they are aware of their rights but also that they themselves know and fulfill their duties within the democratic societies of which they are a part of and which, at least discursively, are regulated by laws. In other words, being empowered is also being responsible for living in society.

The main contribution that the MCLAD has to offer is to replace the paradigm of inclusion for that of acknowledgment. And, throughout the path followed in this article, an attempt has been made to establish that the turnaround is not to capriciously install a new concept (acknowledgment), but to demonstrate that the new paradigm involves three categories that sustain and support a model that seeks to be the basis for effective public policies, for a society that values diversity and for people who feel worthy and contribute to dignify others.

In recent times, the field of corporate intelligence has gained substantial prominence, employing advanced data analysis techniques to yield pivotal insights for instantaneous strategic and tactical decision-making. Expanding beyond rudimentary post observation and analysis, social media analytics unfolds a comprehensive exploration of diverse data streams encompassing social media platforms and blogs, thereby facilitating an all-encompassing understanding of the dynamic social customer landscape. During an extensive evaluation of social media presence, various indicators such as popularity, impressions, user engagement, content flow, and brand references undergo meticulous scrutiny. Invaluable intelligence lies within user-generated data stemming from social media platforms, encompassing valuable customer perspectives, feedback, and recommendations that have the potential to revolutionize numerous operational facets, including supply chain management. Despite its intrinsic worth, the actual business value of social media data is frequently overshadowed due to the pervasive abundance of content saturating the digital realm. In response to this concern, the present study introduces a cutting-edge system known as the Enterprise Just-in-time Decision Support System (EJDSS).

Leveraging deep learning techniques and advanced analytics of social media data, the EJDSS aims to propel business operations forward. Specifically tailored to the domain of marketing, the framework delineates a practical methodology for extracting invaluable insights from the vast expanse of social data. This scholarly work offers a comprehensive overview of fundamental principles, pertinent challenges, functional aspects, and significant advancements in the realm of extensive social data analysis. Moreover, it presents compelling real-world scenarios that vividly illustrate the tangible advantages companies stand to gain by incorporating social data analytics into their decision-making processes and capitalizing on emerging investment prospects.

To substantiate the efficacy of the EJDSS, a detailed case study centered around reverse logistics resource recycling is presented, accompanied by experimental findings that underscore the system’s exceptional performance. The study showcases remarkable precision, robustness, F1 score, and variance statistics, attaining impressive figures of 83.62%, 78.44%, 83.67%, and 3.79%, respectively.

This scholarly work offers a comprehensive overview of fundamental principles, pertinent challenges, functional aspects, and significant advancements in the realm of extensive social data analysis. Moreover, it presents compelling real-world scenarios that vividly illustrate the tangible advantages companies stand to gain by incorporating social data analytics into their decision-making processes and capitalizing on emerging investment prospects.

This paper aims at developing a multi-objective mathematical model of circular economy that integrates key concept of leasing as a strategy in addition to reuse, refurbishing, primary recycling, secondary recycling and disposal.

This paper proposes multi-objective fuzzy mixed integer linear programming mathematical model considering multi-product, multi-echelon and multi-capacitated concepts of the circular economy. The three objectives of the proposed model, namely, economic, environmental and social are solved simultaneously using constraint approach to obtain balanced trade-off between the objective functions. The model is validated by solving a case study from the literature. The proposed model is made pragmatic for industrial application by considering multi-external suppliers multi-customer zones, multi-disassembly centers, multi-collection centers and multi-refurbishing centers and accounting for purchasing, processing, transportation, set-up costs and capacity constraints at the same time.

The results show that the leasing of the products improves the economic function in addition to the known environmental improvements. The proposed model also shows that the circular economy can generate the jobs for the unskilled people at different locations.

The proposed model can be further improved by considering the non-linearity due to economy of scale at various centers and in transportation. The model can be further extended to make it multi-period model.

The proposed model of circular economy can be used by the organizations as a policy tool to decide the optimum number of collection centers, disassembly centers, refurbishing centers, recycling centers and disposal centers and their optimum locations and allocations. The organizations can also trade-off among economic, environmental and social benefits of their proposed decisions in circular economy.

The originality of the proposed mathematical model is consideration of leasing as a strategy to have better control over the supply chain for circularity; considering the training of unskilled people for backward supply chain jobs and accounting for primary recycling and secondary recycling separately for economical computation.