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The Fourth Industrial Revolution has escalated innovation to new heights unseen, creating an evolution of innovation and corporate social responsibility (CSR), and as a result, a more Innovative CSR. With this evolution comes also the evolution of the ‘Preneur’ from social entrepreneur to corporate social entrepreneur and corporate social intrapreneur. It is therefore important to acknowledge that social entrepreneurship is not just for the social sector, or start-up entrepreneur – corporations can also be social entrepreneurs. This chapter establishes an understanding of this possibility alongside solving wicked problems and challenges, and how to provide collaborative networks and co-creation experiences to assist others on this journey. More importantly, the chapter discusses how corporates can assist millennials (and Generation Z) by funding and incubating their innovative or social enterprise idea under the umbrella of CSR strategy, until it is ready to be released to the world. The chapter is supported by academic literature and business publications with suggestions for future research opportunities.

With the World Economic Forum's 2019 theme based on the new era – Globalization 4.0: Shaping a New Architecture in the Age of the Fourth Industrial Revolution – this chapter takes into consideration innovation as defined in the previous chapter and builds on the escalation of innovation required for the Fourth Industrial Revolution and to reach the sustainable development goals (SDGs) deadline by 2030. Proposed is an entire ecosystem change of how the world lives, eats, makes money, sleeps and breathes. This chapter considers these changes with an explanation of CSR 1.0 and CSR 2.0 to CSR 3.0, providing case studies of these, plus discussing the transition from Globalization 3.0 to 4.0, and the various known and unknown system changes that may be required including integrated value creation (IVC). We live in exciting times where IVC and other systems, such as the well-being economy, exponential economy, shared economy, innovation and resilience economy, may be part of a new ecosystem. This chapter concludes with a discussion of these themes, and the development of CSR 4.0 mapped on to Globalization 4.0 within a deeply transformed systems approach to create transformed value (CTV). Emerging research opportunities as a result of these changes are discussed throughout this chapter.

Crowdfunding is an emergent practice that is increasing exponentially as a means of financing to complement company capital. This chapter focuses on an innovative way of organizing peer-to-peer lending, known as crowdlending. The characteristics of crowdlending are social reward or interest and using the Internet as a medium for communication, prospection and raising funds. To fill the gap in the literature in this regard, this chapter addresses the following questions: Can crowdfunding be considered as a feasible conventional financial tool? What makes crowdlending work? Is it possible to apply the mutual cash holding (MCH) model to crowdlending as well as to previous examples such as the Mondragon Corporation and Trocobuy?

We use three cases (Mondragon Corporation, Trocobuy and Arboribus) to highlight financial tools that use the concept of stakeholder theory that is based on the collaborative management of cash surpluses. Using the Delphi technique combined with in-depth interviews we demonstrate the contribution of the MCH model to crowdlending. We show that the model could be applied to different organizations, thereby indicating its robustness and implying that it could be used in many other cases.

The present study suggests that crowdlending describes a new financing tool as a principal form of lending; it enables companies to implement a financial tool that allows for social development and stakeholder participation and that can ensure companies’ financial sustainability.

This model is based on six elements: expectations of mutual benefits, trust, management, guarantees, mutual profit and benefit. It suggests mutual benefit and positive social values for all stakeholders. However, cash surpluses will be efficiently used only when crowdlending is relevant to investors’ economic objective, because crowdlending as a social innovation does not in itself guarantee economic benefit.

The chapter provides evidence of crowdlending in practice. The research compares key cases in which the MCH model is applied. It also provides important insights into crowdlending as a social innovation.

Fashion brands are one of the strongest means of expressing consumers identity. This study explores and empirically validates the concepts of brand love and hate for masstige fashion brands from the purview of emerging markets. This study deciphers three components of masstige fashion brand promise through the lens of hedonic identity, uniqueness and expected social gains for the affluent middle-class consumers. The model is complemented by the impact of environmental and society’s well-being.

Empirical evidence was obtained through an online survey in India. Total of 222 complete responses were used to test hypotheses by fitting a model with the partial least squares algorithm.

Fashion brand love is triggered by consumers’ hedonic identity and expected social gains. Brand hate is fuelled by environmental and societal well-being concerns, expected social gains and uniqueness. Theoretical contribution is threefold: First, the relevance of social and environmental consequences reflecting consumers’ accepted responsibility for their masstige consumption is introduced. Second, the study deciphers the emotions related to masstige brand love and brand hate for emerging market’s affluent middle-class. Third, empirical results contribute to the ongoing discussion on whether brand hate and love are two distinct concepts or collapse to be two extremes of one and the same continuum.

Middle-class consumers in India are strict in their avoidance and rejection of the lower classes’ preferred fashion brands. Targeting must consider the social classes hierarchy. Marketing-mix design, particularly prices and distribution networks, need to enable a distinction between the social classes.

Masstige fashion brand love and hate turn out to be two distinct constructs that co-exist rather than being two extremes of one and the same dimension.

Indian middle-class consumers satisfy their need of environmental and social caretaking by avoidance and brand hate but continue to choose masstige brands to demonstrate social status and are not modernizing their traditional accumulative materialism.

While the tourism sector is experiencing one of the worst crises in its history due to COVID-19, institutions and governments continue to try to minimize the effects. Social networks have become an indispensable tool for communications and product sales. This case study focuses on integrating the use of social networks for the tourism sector in order to contribute to the reconstruction of the territory of Andalusia. To achieve this goal, a multistage content analysis has been carried out. On the one hand, the metrics of the institution in charge of tourism in the region have been analyzed, and on the other hand, the same study has been carried out with the residents. From this comparison it is established that residents attract more comments and responses in their individual posts about Andalusia than those published by the Andalusian government entity. Therefore, the resident can become the influence of his territory and can contribute to attract tourists and to show the products that are offered in his region. This research provides the evidence for the institutions in charge of promoting tourism to take into account the resident as a dynamic agent in overcoming the consequences of the pandemic.

This paper focuses on social innovation dynamics in extreme contexts where institutional volatility is deeply rooted and enduring. In other words, the authors focus their discussion on the challenges that social innovators are facing in their endeavor of solving wicked social problems within an extreme institutional environment. This research is guided by the following question: How does an extreme institutional environment influence social innovation processes?

This qualitative research builds on the unique case of the Palestinian non-governmental organization (NGO) sector, a rarely studied context in organizational studies. The authors combine archival sources with 24 semi-structured interviews with Palestinian NGOs.

The authors theorize three barriers that hinder social innovation in such contexts: institutional trap, effectiveness trap and sustainability trap. The authors also theorize five mechanisms through which these barriers influence each other dynamically: mingling, surviving, undermining, binding and reinforcing. Taken together, these barriers and mechanisms shed light on social innovation processes taking place within extreme institutional environments.

The main limitation of this study is the methodological design, based on an extreme single case-study which, on a bunch of features, is quite unique in the world. The authors argue that the results are all the same transferable to other relatively similar contexts.

By theorizing the institutional barriers to social innovation in an extreme institutional context, the research thus sheds light on how social innovation could be sustained and stimulated in Palestine and other contexts that face similar institutional challenges.

From an engaged scholarship perspective, studying Palestine cannot be more relevant than today considering the turmoil in which Palestinians are. The research thus provides a deeper understanding of organizational and institutional dynamics with crucial social repercussions.

The social innovation literature has overemphasized success stories to the detriment of the struggles that hinder social innovations in extreme institutional environments. By focusing on the barriers that social innovators experience in these contexts, the authors provide novel empirical insight. Furthermore, this study enriches the understanding of the institutional dynamics of social innovations by proposing a process model that elucidates how an extreme institutional context can influence social innovations.

The present study intends to discover and analyze the determinants of users' intention to use (ITU) drone-based online food delivery (OFD) services. The study mainly focuses on the drone-based food delivery system in India and its implications.

This study has used the purposive sampling method. With the support of the technology acceptance model (TAM) and the theory of planned behavior (TPB), a theoretical model was developed conceptually. Later, the model was validated using the partial least square-structure equation modeling (PLS-SEM) technique with consideration of 324 responses mainly from university students in Delhi- National Capital Region (NCR).

The findings reveal that all the determinants are positively and significantly related to ITU, except for perceived behavioral control that does not influence the consumer’s ITU drone-based OFD services. The study also shows that how food delivery system through drone can revolutionize the entire food delivery system in India.

The present study has developed a unique model that can be used by practitioners, future researchers in this field and policymakers in government departments. The present study is limited to Delhi-NCR in India, and thus, there is an issue of generalizability in the present study.

This study has examined the future of food delivery system through drone-based system. Thus, the leaders in the food industry will be better positioned to understand consumers' intentions to use OFD services using drones and be able to make more informed decisions about investment in drone technology in their respective organizations.

The present study has combined both the technology adoption model and the TPB and developed a theoretical model. The study enriches the literature on drone-based OFD services. Since users' acceptance of OFD services using drones is an under-researched area, the present study will make a meaningful contribution to bring the body of literature in this domain.

This paper aims to understand the role that money plays in polygamous marriages among the Hui ethnic group in Northwest China.

This study conducted in-depth interviews, focus group discussions and observations based on snowball sampling of individuals who voluntarily agreed to participate from June to December 2010, and during the summer of 2011, in Qinghai in Northwest China. Follow-up interviews and observations were conducted in 2015.

This study examines how love and money intersect and work together to sustain the participants’ polygamous marriages. The study concludes that material desires unite love with money to make love consumable. With the help of money, love between the sexes is transformed into desirable consumption through economic activities associated with leisure, gift giving and religious beliefs to articulate individualism

This study is the first to explore money’s role in the experience of polygamy among the Hui ethnic group in China.

To date, to the best of the authors’ knowledge, the use of implicit measures in the service research domain is limited. This paper aims to introduce implicit measures and explain why, or for what purpose, they are worthwhile to consider; how these measures can be used; and when and where implicit measures merit the service researcher’s consideration.

To gain an understanding of how implicit measures could benefit service research, three promising implicit measures are discussed, namely, the implicit association test, the affect misattribution procedure and the propositional evaluation paradigm. More specifically, this paper delves into how implicit measures can support service research, focusing on three focal service topics, namely, technology, affective processes including customer experience and service employees.

This paper demonstrates how implicit measures can investigate paramount service-related subjects. Additionally, it provides essential methodological “need-to-knows” for assessing others’ work with implicit measures and/or for starting your own use of them.

This paper introduces when and why to consider integrating implicit measures in service research, along with a roadmap on how to get started.