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This paper aims to extend social entrepreneurship theory by investigating the darker sides of innovation and enterprise. Entrepreneurship and social entrepreneurship theories regarding shifting equilibriums are considered alongside other traditions. This research presents how individuals see enterprises as dark and light and discusses how such perceptions are important to building emerging theories of light and dark social entrepreneurship.

The study uses a survey of public perceptions (n = 631) regarding the social and economic impact of a total of 15 different enterprises to create a map of the darker variations of enterprises. An 11-point scale was used to evaluate perceived impact.

The mapping of each enterprise on a coordinate plane resulted in four thematic areas: traditional enterprises (light social, light economic), taboo enterprises (dark social, light economic), dark enterprises (dark social, dark economic) and alternative enterprises (light social, dark economic). Some enterprises crossed between the thematic areas.

This study opens up new directions for research on dark social entrepreneurship and research on enterprises that influence social equilibriums.

This study provides guidance for practitioners and policymakers to better understand phenomena such as dark, taboo and alternative enterprises and their nuances.

This study allows for a broader look at social entrepreneurship, innovation and enterprise to better understand dark and light nuances. Similarities between the lighter and darker forms of enterprises are noted.

This study builds on dark entrepreneurship and dark social entrepreneurship theories and concepts using empirical methods.

Entrepreneurship is ubiquitous, but it is not unequivocally a human force for social and economic good. Critical perspectives of the entrepreneur, entrepreneurship, and entrepreneurial success (and failure) are evolving in the scholarly literature. Dark side theory has emerged as a language for critiquing the dominant narratives of entrepreneurship portrayed in scholarship, education, planning, policy, and other forms of practice. This chapter draws from dark side entrepreneurship theory, Baumolian entrepreneurship, and exemplars of counterculture to craft language for an emerging theory of misfit entrepreneurship, which consists of misfit entrepreneurs and alternative enterprises. Alternative enterprises and misfit entrepreneurs are conceptualized, and literary examples (i.e., Robin Hood and Song Jiang) and modern-day examples (i.e., Hacker groups) are supplied. The unique actions and impacts of misfit entrepreneurs and alternative enterprises are offered for discussion. This new theory of misfit entrepreneurship leaves readers with exploratory questions that enhance critical perspectives and modern understandings of entrepreneurship today.

This study aims to predict the dark side of knowledge management risk to innovation in Portuguese small and medium enterprises (SMEs). It examines the spinner innovation model factors of knowledge creation, knowledge transfer, private knowledge, public knowledge and innovation in uncertain environments.

The authors developed a conceptual model to support the analysis. The survey data stemmed from a sample of 208 Portuguese SMEs in Portugal. The authors analyzed the primary data from the ad hoc survey using the data mining (deep learning) technique.

The research sets out and tests factors relevant to understanding how to predict innovation in uncertain business environments. This study identifies four factors fostering innovation in SMEs: knowledge creation, knowledge transfer, public knowledge management and private knowledge management. Knowledge creation showed the best return and presented the closest relationship with innovation.

Innovation models generally measure the relationships between variables and their impacts on the economy (economic and regional development). Predictive models are considered in the literature as a gap to be filled, especially in an uncertain environment in the SME context.

E-commerce companies often manipulate customer decisions through dark patterns to meet their interests. Therefore, this study aims to identify, model and rank the enablers behind dark patterns usage in e-commerce companies.

Dark pattern enablers were identified from existing literature and validated by industry experts. Total interpretive structural modeling (TISM) was used to model the enablers. In addition, “matriced impacts croisés multiplication appliquée á un classement” (MICMAC) analysis categorized and ranked the enablers into four groups.

Partial human command over cognitive biases, fighting market competition and partial human command over emotional triggers were ranked as the most influential enablers of dark patterns in e-commerce companies. At the same time, meeting long-term economic goals was identified as the most challenging enabler of dark patterns, which has the lowest dependency and impact over the other enablers.

TISM results are reliant on the opinion of industry experts. Therefore, alternative statistical approaches could be used for validation.

The insights of this study could be used by business managers to eliminate dark patterns from their platforms and meet the motivations of the enablers of dark patterns with alternate strategies. Furthermore, this research would aid legal agencies and online communities in developing methods to combat dark patterns.

Although a few studies have developed taxonomies and classified dark patterns, to the best of the authors’ knowledge, no study has identified the enablers behind the use of dark patterns by e-commerce organizations. The study further models the enablers and explains the mutual relationships.

The Jonestown massacre of 1978 was the largest such event in modern history; it assumes the status of a prototype in many discussions of cult dynamics and mass suicide. This paper aims to make the case that Jonestown should be memorialised and made into a dark tourism attraction.

This paper is principally the outcome of secondary research conducted over a number of years on the theme of dark tourism. The paper also benefited from direct interviews and conversations with political and ex-military personnel in Guyana who were in some way involved with Jonestown.

The research establishes that Jonestown remains a matter of great sensitivity and even national embarrassment, with many in the tourism sector reluctant to highlight what they regard as a very negative association, in the market, of Guyana with Jonestown and Jonestown only.

Expressed in context, the paper discusses the place of Jonestown in dark tourism and proposes an operational formula by which the semiotic of Jonestown, as contained in the tourist narrative, transforms tourism into catharsis.

For the author, Jonestown is tourism-imperative because not much longer after that apocalyptic event, the “Jonestown massacre” became a reference in the discourse on dark tourism. Jonestown is too large and archetypal an event to escape research and discussion of its place in the realm of dark tourism. This paper therefore explores, from both theoretical and policy perspectives, the ways in which the narratives of dark tourism can serve to expiate guilt by confronting it and therefore still deserve a place in the tourism imaginary of 2025. As such, the paper should be of value to not only scholars and researchers but also those engaged in tourism planning and destination management.

Nowadays, technostress is a common problem for many organisations. The purpose of this research is to investigate the underlying mechanisms under which enterprise social networks (ESNs) leads to technostress and their consequences.

The authors collected data from 242 employees working in research and development (R&D) centres in India and analysed the data using partial least squares structural equation modelling (PLS-SEM).

The findings of the study contribute to the growing body of knowledge in “dark side of social media research” by researching the phenomenon of higher use of ESNs in organisations and the consequences while theoretically delineating the effect of social, hedonic and cognitive use of ESNs in organisations on technostress, thus extending prior research on adverse impact of social media and technostress research. The results revealed that both ESNs’ need and technostress is adversely related to mental health, performance and greater turnover intention, and perceived organisation support (POS) played a moderating role in this relationship such that with higher POS, employee turnover intention reduces. By uncovering the role of POS as a potential moderator, the findings provide empirical evidence for POS and technostress in organisations, thus offering practical implications for the ESNs strategists, managers and practitioners to develop ESNs’ usage policies to avoid adverse outcomes of technostress in organisations.

This research advances theoretical understanding of the relationship between ESNs, technostress, mental health, performance and turnover” intention while contributing extensively to the technostress literature and to the scholarship of ESNs. In addition, by uncovering the role of perceived organisational support as a potential moderator, this study contributes to the existing literature on POS.

The empirically tested model delivered by this research will enable organisations to understand different excessive usage patterns of ESNs at work, which contribute to negative outcomes for organisations and employees. The findings support the maintenance of social life at work affecting better employee mental health, and the application of cognitive use of ESNs can reduce technostress. Hence, organisational strategies should implement employee policies and interventions that facilitate better work–social life and well-being, simultaneously encouraging usage of ESNs largely for work-related information transmission and sharing within the organisations.

This study constructed a moderated-mediation model by introducing the potential mediating effect of technostress, mental health and performance and the moderating effect of POS to reveal the mechanism through which ESNs related to technostress, mental health, performance and turnover intention in the Indian context.

In response to calls to critically analyse and conceptually advance social enterprise, the purpose of this paper is to examine narratives and models representing a spectrum of social enterprise from the “social” to the “economic”. The paper tests these against the experience of practitioners who were either employees in social organisations or support workers tasked with promoting social enterprise. This is timely against a background of imperatives from central governments for social organisations to compete for the delivery of public services and become more “entrepreneurial”.

The paper reports qualitative research in which participants were invited to draw lines and arrows onto spectrum models to illustrate the social and economic contexts they perceived themselves to be working within. The data comprise interviews and drawings, combined with verbal descriptions of the drawings and reflections on their significance.

The paper shows how participants interpreted the “social” and “economic” of social enterprise in pictures and words. The research suggests that social enterprise can not be told as a single narrative but as a set of little stories showing oscillations, contradictions and paradox.

Understanding of social enterprise can be much improved by giving greater recognition to ambiguities and compromises within the lived experience of contemporary practice.

The article offers new reflection on widely used images that represent social enterprise along a dichotomous, polar spectrum from social to economic.

Enterprise social media (ESM) applications offer new opportunities for organizations to mobilize employees for open innovation, by promoting innovation beyond traditional R&D functions. Despite the popularity and success of these applications, current research has yet to fully explore the potential of ESM applications as a driver of employee-driven innovation, specifically through advancements in innovation culture. To fill this gap, this study proposes a theoretical framework that explains the role of ESM applications in facilitating employee innovation.

The authors administered a cross-sectional survey to collect data from professionals who use ESM applications regularly at work. Following a pilot study and instrument refinement, the authors conducted a field study to test measurement and the structural model by using the partial least square-structural equation modeling (PLS-SEM) method.

The findings of this study support the validity of the proposed theoretical model. First, the results confirmed the three antecedents of ESM use for innovation: perceived innovation possibilities enabled by ESM technology, the expected value of ESM use for innovation and organizational support for using ESM applications for innovation. Next, the results confirmed the importance of ESM use in encouraging individual innovation productivity in terms of product/service innovation, process innovation and social innovation. Finally, the results corroborated the mediating role of risk-taking and knowledge-sharing culture in the use of ESM to increase innovation productivity.

The findings presented here have implications for theory and practices that would concern fostering a supportive environment and building an organizational culture that promotes employees' innovation behavior (internal open innovation) by using social technologies.