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University-community engagement is emerging as an important channel for social innovation, requiring universities to act as change agents in their local settings. The role of change agent presents new challenges for universities as it requires going beyond institutional borders to collaborate with non-traditional partners such as informal enterprises, and to stimulate and support innovation that may be seen as relevant to a given local setting only. Universities are thus grappling with finding suitable mechanisms and models for engaging in institutional contexts that are vastly different from traditional formal university- and firm-based settings. Based on empirically rich case study research in a South African township, the paper presents new conceptual insights on how universities can catalyse social change in resource-poor local settings through strategically selecting mechanisms and models of engagement that align with locally-embedded institutions, practices and needs. Four types of engagement models are identified, each relate to different models of entrepreneurship and innovation and thus different modes of learning. The typology distinguishes between dominant, traditional knowledge transfer models, and emergent, socially responsive models that show greater promise for promoting collective agency and effecting systemic social change. The typology can be used to assess current practice and inform future strategies.

We conjecture that adoption of agricultural biotech innovation imposes relationship-specific investments that exacerbate hold-up costs between biotech producers and farmers. Moreover, the increasing presence of biotech reduces biodiversity, which is a significant negative externality on food production across farms. As such, increasing biotech has the potential to exacerbate food insecurity. By contrast, certified organic operations have the potential to have the opposite effect. We examine 15 agrarian states in the U.S. and find evidence strongly consistent with these propositions. We discuss implications for policy, practice, and future research.

This article extends the field conceptualisation of social change and innovation adoption, which hinges upon the strategic capacities of actors, to the online environment. We focus on a key aspect of social movement organisations (SMOs), competition for members, resources and attention over an environmental risk issue. The incorporation of network theory enables us to map how the structural position of actors in the field is associated with their actions – for example, their response to an exogenous shock such as a new threat to the environment. We analyse how actors in the online environmental movement respond to the emergence of nanoscience and technology (NST) as a risk issue, and test the field theory hypothesis that dominated actors are more likely to adopt this issue in the early stages of emergence. Our findings challenge field theory orthodoxy and suggest that whilst challengers innovate, dominants co-opt by adopting the issue in a second stage. Finally, we examine why the notion that NST entails significant environmental and health risks was not propelled into wider public consciousness.

People with disabilities are an important actor and target group in social innovation initiatives worldwide, as there is a clear need for better inclusion of this group in society. A way to improve the inclusion of people with disabilities is the development of assistive technology. In practice, people with disabilities often use technologies of which the primary use is not that of an assistive technology. They use the technology for a different use and context than the developer intended – termed 'secondary use'. The current paper studies the factors that are needed to make the secondary use of technology a success. First, a literature review and explorative study in the Netherlands are performed, after which a framework on the secondary use of technology for inclusion, specifically for people with disabilities, is developed.

Frugal innovation has gained prominence based on its potential contribution to sustainable development and the new opportunities that it offers to low-income customers. This paper aims to analyse the strategic knowledge transfer practices implemented by an entrepreneurial university for fostering frugal innovations within an emerging economy. Design/methodology/approach This study adopted a case study methodological approach. The selected case was the University of Campinas (Unicamp), one of the leading universities in Brazil in terms of research quality and technology transfer. The study built upon 14 interviews with key informants and secondary sources of data (official and public documents). Findings The findings highlight the multidimensional dynamics of frugal innovations arising from university–industry relationships. Key dimensions considered include the internal capabilities of universities to foster frugal innovations and connect them to markets, the surrounding innovation ecosystems in which the university is embedded and the overarching institutional framework. Research limitations/implications The analysis of strategic management practices for frugal innovation requires an evolutionary perspective, but the findings lacked sufficient longitudinal information for a formal evaluation. Also, as our empirical analysis is based on an in-depth case study of one university, further validation in other contexts would be necessary. Practical implications This study offers new insights regarding the effectiveness of university-business collaboration partnerships for developing frugal innovations in emerging economies. Policymakers should promote societal programs enhancing the active participation of all agents involved in the entrepreneurial and innovation ecosystem. University managers should understand the challenges and the opportunities behind the adoption of an inclusive and societal orientation. Social implications By adopting frugal innovation practices, universities can enhance their contribution of meeting the United Nations’ Sustainable Development Goals. Originality/value The literature on frugal innovation has emphasized the importance of networking between different types of firms, NGOs and governments, but the role of universities in frugal innovation remains mostly unexplored. This study addresses this gap by exploring how entrepreneurial universities participate in frugal innovations to meet societal challenges.

The main aim of the paper is to question the viability of measuring social innovation with the current state of knowledge on the one hand, and to make suggestions for better measurement of it on the other. To reach this aim, the literature on the traditional measures of technological innovation and the previous attempts of measuring social innovation is surveyed. Despite relatively narrow scope of the literature mainly originated from the very recent and pioneer experiments, one may argue that the first findings do not present a promising picture for future studies. Therefore, existing trials to measure social innovation have to be critically screened to ascertain problematic areas, and hence, to provide plausible solutions. The problems with social innovation metrics are not only limited with obtaining concrete and trustworthy results, but also extended to statistical, methodological and even conceptual spheres.

- Features interdisciplinary expertise from economics, law, technology and social science on the practice of co-creation - Provides best-practices and management approaches to successful co-creation - Enables research-based and practice-relevant understanding of the background and concepts around co-creation

Cet article étudie les caractéristiques des structures de transfert technologique et des laboratoires d’innovation ouverte gérés par les universités et organismes de recherche. Il compare leurs rôles comme intermédiaires des relations science–entreprises en fonction des modes 2 et 3 de production des connaissances proposés par Etzkowitz & al (1997) et Carayannis & al (2009). Basée sur une comparaison de cas multiples en France, nous analysons leur rôle dans le développement des relations science-entreprise. Cet article identifie aussi les modes de coordination entre ces deux types d’intermédiaires. Dans certains cas, ils coordonnent leurs activités de manière ponctuelle alors que, dans d’autres cas, la complémentarité de leurs activités s’organise sur la durée.

Nous présentons dans cet article les résultats d’une enquête sur les politiques publiques de régulation de l’intelligence artificielle et en particulier sur les stratégies mises en œuvre dans des cadres socio-politiques aux échelles nationales, européennes et internationales. La France a créé des instances dans lesquels des « frottements » entre acteurs différents sont possibles, comme les groupes d’experts ou le Partenariat Mondial sur l’Intelligence Artificielle. Nous considérons que le travail de la part de l’ensemble des groupes sociaux, impliqués dans les instances que nous observons, est consubstantiel à la régulation. Les acteurs publics et privés s’organisent pour échanger et interagir de façon structurée, notamment par la mise en place de ces instances, comme le PMIA. Les dispositifs et instruments, auxquels les différents acteurs participent, contribuent à conférer un sens aux activités de régulation. Notre hypothèse repose sur l’émergence d’un « modèle français » de la régulation qui tend à promouvoir la « confiance » et dont le sens est de parvenir à l’acceptabilité sociale de l’IA.

À seulement dix ans de l’échéance fixée pour atteindre les Objectifs de développement durable (ODD), les agences et organisations de développement ont besoin d’innover rapidement dans leurs approches en matière de processus décisionnels et de résolution des problèmes. De nouveaux enseignements et de nouvelles conceptions, nés des usages émergents des technologies, peuvent servir de vecteurs à certaines innovations. Ce document d’orientation applique le nouveau paradigme des intelligences – qui comprend l’intelligence des données, l’intelligence artificielle, l’intelligence collective et l’intelligence incorporée – pour présenter une vue d’ensemble des risques et bénéfices associés à différents usages émergents des technologies aux praticiens du développement ainsi qu’aux responsables et décideurs politiques. Ces analyses sont, dans la mesure du possible, illustrées d’exemples issus du terrain. Nous recommandons dans ce Policy Paper de créer un cadre décisionnel pour aider les praticiens à déterminer s’ils doivent investir dans des technologies émergentes et comment ces dernières peuvent être efficacement mises au service des objectifs de développement. Cette première itération du cadre décisionnel cherche à définir précisément les objectifs de développement pertinents tout en prenant en compte le contexte existant avant d’aborder la question des solutions en évaluant la maturité, les défis, les implications financières et les risques posés par l’usage des technologies, ainsi que la présence de facteurs limitants et de catalyseurs qui pourraient en moduler l’impact et l’adéquation.

Potential contributions of universities to social innovation are explored with special attention to Southern countries. The normative guide is the notion of Sustainable Human Development understood as stressing the agency of least-advantaged sectors. The main challenges stem from decreasing sustainability and increasing inequality. Their impacts are highly dependent on how the tension between economic growth and environmental protection is managed. Improving actual perspectives demands harnessing advanced knowledge to foster inclusive and frugal innovation. For this to occur, universities need to be main actors. The context in which they act is analyzed with reference to the National Systems of Innovation conceptualization. Possible evolutions of universities as agents of social innovation are discussed with the aid of the Multi-Level Perspective. The importance of the Southern experience of innovating in scarcity conditions is highlighted and illustrated with the specific experience of a Latin American university. The cooperation of universities with weak social actors in ways that involve advanced knowledge appears as a key theoretical issue and as a difficult practical problem for the effective engagement of universities in social innovation. The diverse issues that such engagement needs to integrate conform an ambitious research program, of which the paper aims at giving a first glimpse.

Social innovation is conceptualised as having two intimately related pillars: institutional innovation and locally embedded innovation, in the sense of social economy. Two main research questions were addressed: how political, institutional innovation is fostered and how does it influence social economy? A mixed methods research was conducted in the Mühlviertel NUTS3 region. Despite a framework of enhanced autonomy and institutional innovation for the main stakeholders, both macro and micro analysis illustrate a lack of intermediate space to: a) link the innovative agenda to high-state political agendas, and b) link institutional innovation to social economy.

The world is witnessing an unprecedented disruption due to the COVID-19 pandemic in almost all spheres of socio-economic activity. This black swan moment is unprecedented since the advent of the Industrial Revolution. Simultaneously, there is a shift towards effective use of data and technology. There is an exponential increase in the quantum of data collected and has subsequently necessitated a paradigm shift in the functioning of Industry 4.0. Data intelligence, data science, artificial intelligence, machine learning, and deep assimilation of nuanced knowledge revolutionize business and society worldwide. This heralds a potential transition towards data-intensive economies, governments, industrial and social sectors. The accelerated pace of data processing, data intelligence, and analytics encompasses business intelligence, data sciences and machine learning. The spectrum of such upheavals and associated technological transitions is a watershed moment and impacts business and social transformations. In the paper on the role of data in the social realm (Technology as a catalyst for sustainable social business: Advancing the research agenda, 2019). Ashraf et al. opine that “Despite its immense potentials as a sustainable and innovative means to solve specific social problems, the basic concept of the social business model remains unclear to many”. In recent times there has been an inconsistent approach towards social business research. Subsequently, the contemporary business scenario is yet to optimally capitalize on the advantages of the Social Business concept and address the divergent socio-economic and ecological issues worldwide, with profits intact. This should in no way dilute profit maximization for optimizing socio-economic benefits for value creation and sustainability. “Although the social enterprise is often considered to have positive future potential, it is currently underdeveloped” (Bell, 2003). Therefore, social entrepreneurship should generate and ensure nuanced and effective innovations, addressing underserved needs. In contemporary times, tools harnessing Big Data are becoming widely applied, leading to a huge reservoir of untapped diverse data. This subsequently creates an immense opportunity to accelerate the use of Big Data towards social good and sustainability. Though this is a recent trend, it indeed holds promise in the post-COVID world that would be privy to unprecedented socio-economic upheavals and an increased need to address issues of humankind for greater global welfare. In the recent past, diverse data sets have created large-scale solutions in diverse spheres ranging from weather forecasts to airline tickets. Insightful correlations and Big Data go hand in hand and hold the key to several complicated pressing social issues. Therefore, a new crop of social entrepreneurs in public health, social welfare, and humanitarian relief would surely emerge by default. Therefore, it is all the more relevant to make sense of a deluge of Big Data towards alleviating a disease, ecological imbalance, war, and most importantly, the patterns to cope with the disease and its aftermath. This chapter proposes anticipating and predicting the immense possibilities of optimizing Big Data and digitization as key critical drivers of empirical simulation and troubleshooting. Good governance, inclusive society, elimination of corruption, and streamlining policy measures would emerge as default collectives of such social entrepreneurial ventures. The chapter would draw inferences from such models of socially inclined data analytics by data scientists, leading to relevant social models of significance. Implications of the chapter would be to assuage the fault lines, draw inferences from the past, and delve into the plausibility and relevance of Big Data to replicate and innovate socially relevant models to map bigger social issues. This, of course, should have embedded benchmarks of equality, ethics, and empowerment while processing Big Data for a greater social good in a post-COVID world gaping at us.

In the past twenty years, innovation has slowly, but steadily, become an important presence in development cooperation discourse and practice. The ambitious UN 2030 Sustainable Development Agenda has accelerated this trend, providing a strong framework for the main argument in favour of an innovation agenda for international development: without new ideas and innovative solutions, solving the current global development challenges will not be possible. Although this innovation-push is in line with a wider predominant view of innovation as an inherently positive force of progress, that alone does not explain when, how, and why innovation becomes a key topic in the field. This paper seeks to fill this gap in the literature, providing an initial overview of innovation in development cooperation in the post-2000s. It argues, firstly, that innovation has always been part of international development policy and practice. Secondly, it links the recent strengthening of the innovation discourse to three trends in the systemic transformation of the field: the triumph of metrics-based agendas, the ICTs and digitalization revolutions, and the role of private sector actors. It concludes by critically assessing the implications of this narrative in changing the politics of innovation towards more inclusive sustainable development policies and practices.

Social entrepreneurship is today an imperative across the world. The scarcity of resources, the needs of the growing population, and the growing burden on the environment have made people realize a need for organizations that can be profitable while bringing positive change in society and the environment. Sustainable, out-of-the-box solutions are required for solving social challenges. The onus of providing these solutions are often taken by aspiring entrepreneurs, who see opportunity in the challenges and are willing to take risks to create innovative and effective solutions for society’s benefit. The chapter elucidates the meaning of social entrepreneurship, the difference between commercial and social entrepreneurship, the models of social enterprises in practice, and the recommended methodology to evaluate social impact. The chapter features international case studies (through secondary research) and cases about social entrepreneurs who have dramatically improved the lives of people while being financially sustainable – an organization like SELCO Solar Lights Private Ltd, ARMAAN, Yellow Leaf and Arvind Eye Hospital, and many others have provided solutions for the economically weaker section of society. Many of these new-age social entrepreneurs use Big Data and artificial intelligence to ensure that their initiatives create greater social change. Some of these initiatives are highlighted in the chapter.

The establishment of empathy is the premise and foundation for diverse innovative proposals and problem solutions. Virtual reality has provided a full range of depth and breadth for the establishment of empathy in many different types of fields due to its immersive, interactive, and imaginative characteristics. In this study, bibliometric analysis and VOSviewer software are used to cluster and visualize relevant 190 articles from the Web of Science core collection. The essay proposes a positioning of how to apply virtual reality on empathy based on two dimensions, from internal world to external world, and from business innovation to social innovation, by integrating each two of them, four application methods are summarized, which are meaning shaping, value creation, individual satisfaction, and self-realization. What's more, using the bibliometric analysis result as a basis, the application landscape of virtual reality technology for establishing empathy has been constructed, including individual level, society level, and nature level, which reveals the existing and coming possibilities of using VR technology on building empathy in different fields. Last but not least, the paper has discussed the impact of virtual reality for empathy-building from five aspects, economy, politics, culture, society, and ecology. The efforts of this study reveal the VR tendency and have important reference significance for promoting the application of virtual reality technology in creating empathy and innovation in different fields.

Ethical, social and environmental accounting is the practice of assessing organisations' performances in sustainability and business ethics topics. The organisations typically publish the results in a sustainability or non-financial report. We aim at offering a novel perspective from which researchers investigate, practitioners apply and policy-makers regulate ethical, social and environmental accounting (ESEA). The large quantity of ESEA methods and tools causes managerial problems, affecting the identity of social enterprises and complicating policy making. We will develop a domain-specific modelling language to specify existing ESEA methods and capture the advantages of model-driven engineering. We will create a repository where method models can be stored. These models contain the data structure and configuration of the methods. We will also develop openESEA, a run-time model interpreter that automatically executes ESEA method models. We will offer features to allow organisations to tailor the methods to their needs, to support model management operations, and to compare existing methods to inform policy makers about their similarities and differences. This project combines expertise in information science and social entrepreneurship with the intention to pave the way to future research avenues in ESEA and, eventually, to profound changes towards a fair and sustainable economy.

This study examines the influence of digitalisation and social entrepreneurship on national well-being. Taking a configurational approach, the results show that digitalisation can benefit national well-being if the country has an adequate educational system, good governance, and a philanthropy-oriented financial system. Digitalisation can leverage these conditions in promoting national well-being. The study also contributes to entrepreneurship literature as it clarifies the role of social entrepreneurship. Social entrepreneurship impacts national well-being when institutions are weak, but it is indifferent in developed economies, which gives support to the institutional void perspective. This finding contributes to the ongoing debate on the role of the institutions on the creation of social enterprises and advances knowledge on the social impact of social entrepreneurship. Additionally, the results show that a combination of conditions is required to achieve high levels of national well-being.

The last few years witnessed theoretical and practical contributions to the field of social innovation and social enterprise. However, analysis of the interplay between these two different realms is still limited. This article aims to fill some gaps in this respect. We deal with historical reconstruction of the concept of Social Enterprise and Social Innovation, and their conceptual premises. We consider the process of creation of social innovation in social enterprises. As members’ motivations, ownership rights and governance rules in social enterprises create a new relational context and new routines, which are germane to the production of social knowledge and deliberation, social innovation can be considered one of the main outcomes of this setting. Social motivations, collective action of a cooperative kind, multistakeholder governance and socialization of resources, and their interplay are singled out as main drivers of innovation. Social innovation is seen as akin to novelty in social interaction, a non-standardized and non-standardizable outcome of the operation of this organizational form.

Human–computer interaction (HCI) is a cornerstone for the success of technical innovation in the logistics and supply chain sector. As a major part of social sustainability, this interaction is changing as artificial intelligence applications (Internet of Things, autonomous transport, Physical Internet) are implemented, leading to larger machine autonomy, and hence the transition from a primary executive to a supervisory role of human operators. A fundamental question concerns the level of control transferred to machines, such as autonomous vehicles and automatic materials handling devices. Problems include a lack of human trust toward automatic decision making or an inclination to override the system in case automated decisions are misperceived. This paper outlines a theoretical framework, describing different levels of acceptance and trust as a key HCI element of technology innovation, and points to the possible danger of an artificial divide at both the individual and firm level. Based upon the findings of four benchmark cases, a classification of the roles of human employees in adopting innovations is developed. Measures at operational, tactical, and strategic level are discussed to improve HCI, more in particular the capacity of individuals and firms to apply state‐of‐the‐art techniques and to prevent an artificial divide, thereby increasing social sustainability.