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Social entrepreneurs create novel approaches to social problems such as poverty. But scaling these approaches to the dimension of the problem can be a difficult task. In the social enterprise sector, the subject of scaling has become a key dimension of organizational performance. This chapter advances the scholarly literature on the scaling of social enterprises, a literature which is currently in an embryonic stage and characterized by conceptual ambiguity and fragmented perspectives.

We engage realist philosophy of science to develop mechanism-based causal explanations of the scaling performance of social enterprises. We also develop a coding scheme to guide systematic empirical analysis and highlight the explanatory power of counterfactuals. Counterfactuals have been largely neglected in empirical research as they represent mechanisms that are enabled but remain unobservable – in a state of suppression or neutralization of their effects.

We question the ability of organizations to “socially engineer” desired outcomes and introduce a new construct – organizational closure competence. Anchored in realism, this construct provides a basis for productive approaches to social engineering. We elaborate on the importance of organizational closure competencies for scaling, derive a series of propositions, and develop ideas for future research and for practice.

Applying a realist lens allows us to add empirical rigor to research on social enterprises and scaling. Our approach constitutes a move from rich narratives to causal models and informs the way we design and evaluate efforts to address important societal challenges.

This chapter demonstrates how to operationalize realist philosophy of science for causal explanations of complex social phenomena and better utilize its theoretical and practical value.

Uncertain level discount (ULD) is a type of promotion combining regular discount (RD) with uncertainty. The purpose of this paper is to explore the impact of ULD on consumers’ perceived quality compared with RD and to identify the relevant influencing mechanism and boundary for the effectiveness of ULD.

Three online experiments were conducted with 445 participants from China. First, experiment 1 compares the attractiveness of ULD and RD. Second, experiment 2 evaluates the impacts of ULD and RD on consumers’ perceived quality and clarifies the mechanism in this process. Finally, experiment 3 examines the moderating effect of product knowledge.

ULD has the same level of attractiveness as RD with equivalent expected discount value for consumers. Besides, consumers in ULD give higher ratings to product quality compared with those in RD, and the lower diagnosticity of price cues in ULD underlies the differential effects of ULD vs RD. Furthermore, product knowledge moderates the relationship between the two promotions and perceived quality.

The findings provide valuable guidance for managers to conduct promotional campaigns. ULD is an effective promotion to attract consumers to purchase with keeping consumers’ perceived quality high, and such effectiveness will rise for products that consumers are unfamiliar with. Managers can make rational use of ULD to achieve positive promotion results in both the short and long term.

Few studies pay attention to the long-term effects of the uncertain promotion. This research profoundly investigates the impact of ULD on perceived quality, which complements existing studies from a more integrated perspective that combines short- and long-term effects. Also, this research identifies the mechanism based on the cue diagnosticity theory and puts forward a new explanation for positive uncertainty in uncertain promotions. Finally, this research applies the impact of product knowledge on information process strategies into the uncertain promotion, which clarifies the utility boundary of ULD from a new perspective and offers a more comprehensive understanding for this promotion.

There have been several reviews of green, ecological and sustainable innovations, but a thorough assessment of green innovation (GI)'s mechanisms in a supply chain setting has not been attempted yet. The purpose of this paper is to review how GI was investigated in supply chains through the lens of a multilevel framework of innovation mechanisms.

The authors provide a comprehensive assessment of prior studies using a systematic literature review approach and content analysis of 136 papers identified from the Web of Science Core Collection database.

Current literature on green innovation supply chains (GISC) has been categorized according to three main causal mechanisms: situational, action-formation and transformational mechanisms. Three different levels of analysis were considered for the three mechanisms: macro, meso and micro. In addition, the authors have also assessed the value creation and appropriation outcomes of GI. The authors identified relevant research gaps in the extant literature and a set of propositions that may guide future research in this area.

This review provides a novel perspective on GISC based on a multilevel theoretical framework of mechanisms.

The causal mechanisms assessment of GISC can be adopted by organizations to convince their SC partners to engage in collaborative and more ambitious initiatives in the field.

The findings of this review could serve as an argument for more encompassing and ambitious GISC initiatives which can be of benefit to society.

A thorough assessment of the interacting mechanisms in GISC has not been attempted before. The authors identify gaps in current literature and provide several propositions for further research avenues based on causal mechanisms framework.

The coronavirus disease 2019 (COVID-19) pandemic has taken society, business and industries by surprise leading to a worldwide economic recession, pushing organizations to rethink their business model in order to shift from activity shutdown toward sustainable growth. The purpose of this research is to comprehend the implications and relationship between entrepreneurship, innovation, digitization and digital transformation aspects as the levers to achieve this goal.

Following the existing literature, an empirical approach has been established involving a quantitative analysis of secondary information obtained from official datasets and reports.

The COVID-19 pandemic was found to be an unfortunate accelerator regarding both consumers' habits and organizations' innovation and digital transformation, breaking with the past leading to new sustainable growth business models.

The research provides an underlying outcome that addresses how wealth and economic value could be generated within the framework of new economic models in a post-pandemic environment.

The research highlights how the pandemic has disrupted what was known about sustainable business growth, and how this affects the future of business beyond the pandemic scenario, transforming the way society, businesses and customers interact.

This study aims to explore the relationship between financing constraints and the innovation performance of Internet enterprises in the cross-border innovation cooperation network. The study also analyzes the moderating effect of the location of the cross-border innovation cooperation network.

The authors selected patent data, related transaction data and other data of A-share listed companies on Shanghai and Shenzhen stock exchanges from 2014 to 2019. The generalized moment estimation method of instrumental variables (IV-GMM) method was used to analyze the relationship between financing constraints and the innovation performance of Internet firms and the moderating effect of the cross-border innovation cooperation network location. The threshold value of the moderating effect of the network structure hole was calculated with the threshold model.

The empirical results show a significant inverted U-shaped relationship between financing constraints and the innovation performance in the cross-border innovation cooperation network of Internet enterprises. Network centrality positively moderates this relationship. There is a threshold for the adjustment effect of network-structural holes, and the adjustment intensity of structural holes changes before and after the threshold.

This study provides a new perspective for Internet firms in innovation cooperation networks to alleviate the negative impact of financing constraints on innovation performance. The inverted U-shaped relationship between financing constraints and the innovation performance of Internet enterprises is in two stages. The moderating range of network centrality and the structural hole besides the threshold of the moderating effect of a structural hole are detailed.

As the complexity and uncertainty of megaprojects make it difficult for traditional management models to address the difficulties, this paper aims to design a performance incentive contract through IT applications, thereby promoting the formation of an information-based governance mechanism for megaprojects and facilitating the transformation and upgrading of the construction management model of megaprojects to informatisation.

This paper introduced IT applications into the performance assessment and used the proportion of IT applications replacing traditional manual management as a variable. It analysed different replacement ratios to obtain the optimal solution for the change of contractors behaviours and promote the optimal performance incentive for the informatisation in megaprojects.

The results show that under the condition of the optimal replacement ratio, achieving the optimal state of a mutual win-win situation is possible for the benefit of both sides. The counter-intuitive finding is that the greater the replacement ratio is not, the better, but those other constraints are also taken into account.

This study enriched the research of the performance configuration incentive from a practical perspective. It extended the research framework of IT incentive mechanisms in the governance of megaprojects from a management theory perspective. It clarified the role of IT applications in incentive mechanisms and the design process of optimal incentive contracts under different performance incentive states. The incentives made the contractors work harder to meet the owner's requirements, and it could improve the efficiency of megaprojects, thus better achieving megaproject objectives.

Using protest event analysis, this study aims to investigate which risk factors influence the severity of environmental protests in China, thus filling a gap in China-related environmental protest literature.

Using a database derived from media coverage of 129 environmental protests in China from 2009 to 2015, this empirical study identifies underlying risk factors influencing environmental protest severity, quantifies these protest cases and verifies the associations between risk factors and severity using ordered logistic regression.

The results show that higher environmental health threat, economic loss, distrust of local government, lack of local governmental response, improper local government action and higher population density are likely to increase environmental protest severity; however, contrary to expectations, environmental information disclosure has no significant effect. These findings illuminate the vital and variational role of local government throughout all stages of the evolutionary process in environmental protests. Moreover, public distrust of local government is the principal cause of these protests.

This study enhances the understanding of how Chinese environmental protests arise from the identified risk factors and contributes to quantitative multi-case research in this area. Furthermore, the findings may help local governments in China, as well as in other countries, to enact positive measures to prevent serious environmental protests and improve their ability to address the environmental problems that cause protests. More effective governance can decrease the number and severity of environmental protests and thus promote social stability.

The purpose of this study is to connect disruptive innovation and sharing economy by exploring the underlying mechanisms of how a disruptive innovation–based business project creates, delivers and captures value in sharing economy through analyzing the case of bike sharing in China.

An elaborate case study is used to unfold the process as well as the underlying mechanism and relationships among disruptive innovation, business model, bike-sharing business and value creation in sharing economy.

Bike sharing case fits well in disruptive innovation theory. Its low price and great convenience have led to rapid development in China. However, failures to improve their products and services and build an effective business model which can create, deliver and capture value have caused the failure of many bike-sharing companies. Other factors such as strategic decision-making, internal management problems, external conflicts as well as uncivilized consumer behaviors have also inhibited the sustainable development of bike-sharing companies.

The theoretical contributions of this study include the following: to explore how a disruptive innovation–based business creates, delivers and captures value successfully in sharing economy. This study contributes to both research and practice on disruptive innovation and sharing economy.

The purpose of this paper is to analyze the emergence of organized academic entrepreneurship in the context of institutional complexity, in which multiple institutional logics co-exist. The paper is focused on the dynamics of internal legitimation of new research commercialization initiatives and the interrelations between internal and external legitimacy and their underlying institutional logics.

Based on a historical case study of the founding of Yeda Research and Development Company at the Weizmann Institute of Science in 1959, the paper examines the rhetorical struggles between the proponents and opponents of the company. The analysis is based on archival data and focuses on the analysis of a meeting of the Institute’s Scientific Committee in which the new company was introduced and debated.

The findings show the strengths and limitations of rhetorical legitimation work in supporting the establishment of new organizational initiatives. Rhetorical strategies that bridge the different institutional logics in the field can enable the emergence of new enterprises. Yet, when organizational practices do not concur with the institutional logic on which internal legitimacy is based, new organizational initiatives become illegitimate and organizational actors withdraw their support.

This paper contributes to a deeper understanding of the under-researched process of constructing internal legitimacy for an organizational change, both in general and in the specific context of academic entrepreneurship. Further, this study contributes new insights to research on the historical process of the emergence of organized research commercialization in universities in the context of institutional complexity.

The purpose of this study was to expand available knowledge on predictors of male inmate violence by examining a large set of variables offered by the importation, deprivation and threat appraisal and coping theories.

A total of 465 male inmates from five medium-security prisons in Wisconsin completed surveys to report demographics, violence, personality, social stressors and healthy coping behaviors to help manage risk by identifying key factors.

Inmates reported more violence with the “imported” characteristics of younger age, less incarceration, no college experience and personality patterns of impulsiveness, hostility and internal locus of control. More violence was reported by inmates with social stressors experienced from family and correctional staff. Additionally, less violence was reported by inmates with more healthy coping behaviors of exercise and social support, especially from family and other inmates.

One must remain uncertain about whether similar patterns of demographics, personality, social stressors and coping behaviors associated with inmate violence would be found in other US prisons. Future research can determine whether similar predictors of violence are found for women inmates and the consideration of ethnicity should be warranted when examining predictors of inmate violence.

Prison administrators can develop new programs to reduce social stressors and increase healthy coping behaviors found by this study to be significantly associated with reduced violence, exercise and social support from other inmates and family.

This research recommends that educating and training correctional staff for a trauma-informed care approach is an integral part of lessening the effects of “pains of imprisonment” on inmate violence and healing the effects of trauma.

To the best of the authors’ knowledge, this study provides the first direct comparison of social stressors from other inmates, correctional staff or family members outside the prison as possible predictors of male inmate violence.