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Whenever social injustice tackled by social movements receives heightened media attention, charitable crowdfunding platforms offer an opportunity to proactively advocate for equality by donating money to affected people. This research examines how the Black Lives Matter movement and the associated social protest cycle after the death of George Floyd have influenced donation behavior for campaigns with a personal goal and those with a societal goal supporting the black community.

This paper follows a quantitative research approach by applying a quasi-experimental research design on a GoFundMe dataset. In total, 67,905 campaigns and 1,362,499 individual donations were analyzed.

We uncover a rise in donations for campaigns supporting the black community, which lasts substantially longer for campaigns with a societal than with a personal funding goal. Informed by construal level theory, we attribute this heterogeneity to changes in the level of abstractness of the problems that social movements aim to tackle.

This research advances the knowledge of individual donation behavior in charitable crowdfunding. Our results highlight the important role that charitable crowdfunding campaigns play in promoting social justice and anti-discrimination as part of social protest cycles.

Contemporary primary school populations in the Netherlands represent a wealth of languages, ethnicities, and cultures. In 1999, 14.7% of the total population of 1.54 million pupils were registered as minority pupils (Statistics Netherlands, 2001). Most of these are of Turkish (23.7%) and Moroccan (20.4%) origin, speaking Turkish, Arabic, and/or Berber at home apart from or instead of Dutch (Extra et al., 2001). As in many other Western European countries, a significant difference can be observed between the school achievements of pupils belonging to a cultural-linguistic minority and the pupils belonging to the majority group (Walraven & Broekhof, 1998). Turkish and Moroccan pupils, for instance, lag behind a bit less than half a learning year in arithmetic and more than two learning years in Dutch language proficiency by the end of primary school (Tesser & Iedema, 2001). Besides sociolinguistic background, socio-economic, cultural, and school factors account for the underachievement of language minority pupils.

This paper aims to take stock and to increase understanding of the opportunities and threats for policing in ten European countries in the Political, Economic, Social, Technological and Legal (PESTL) environment.

This study is part of the large EU‐funded COMPOSITE project into organisational change. A PESTL analysis was executed to produce the environmental scan that will serve as a platform for further research into change management within the police. The findings are based on structured interviews with police officers of 17 different police forces and knowledgeable externals in ten European countries. The sampling strategy was optimized for representativeness under the binding capacity constraints defined by the COMPOSITE research budget.

European police forces face a long list of environmental changes that can be grouped in the five PESTL clusters with a common denominator. There is also quite some overlap as to both the importance and nature of the key PESTL trends across the ten countries, suggesting convergence in Europe.

A study of this magnitude has not been seen before in Europe, which brings new insights to the target population of police forces across Europe. Moreover, policing is an interesting field to study from the perspective of organisational change, featuring a high incidence of change in combination with a wide variety of change challenges, such as those related to identity and leadership.

The purpose of this paper is to investigate whether both perceived sustainable organizational and supervisor support, which represent a sustainable human resource management (HRM) approach, can induce commitment to the employer brand.

This study includes a diverse sample of 3,016 employees drawn from various German organizations. To test the developed hypotheses, a structural model that included all the hypothesized effects was built, using Mplus 7.

Perceived sustainable supervisor support (PSSS) has a direct effect on brand commitment, whereas perceived sustainable organizational support (PSOS) only generates brand commitment indirectly, mediated by brand prestige, brand distinctiveness, and brand trust. The findings further underline that, compared with PSOS, PSSS has a stronger impact on trust in respect of the employer brand.

By considering current employees and their commitment to the employer brand, this study takes an insider view and sheds new light on how an employer brand based on sustainable HRM can achieve commitment, as well as how several mediators affect this link.

Robots are predicted to have a profound impact on the service sector. The emergence of robots has attracted increasing interest from business scholars and practitioners alike. In this article, we undertake a systematic review of the business literature about the impact of service robots on customers and employees with the objective of guiding future research.

We analyzed the literature on service robots as they relate to customers and employees in business journals listed in the Financial Times top 50 journals plus all journals covered in the cross-disciplinary SERVSIG literature alerts.

The analysis of the identified studies yielded multiple observations about the impact of service robots on customers (e.g. overarching frameworks on acceptance and usage of service robots; characteristics of service robots and anthropomorphism; and potential for enhanced and deteriorated service experiences) and service employees (e.g. employee benefits such as reduced routine work, enhanced productivity and job satisfaction; potential negative consequences such as loss of autonomy and a range of negative psychological outcomes; opportunities for human–robot collaboration; job insecurity; and robot-related up-skilling and development requirements). We also conclude that current research on service robots is fragmented, is largely conceptual in nature and focused on the initial adoption stage. We feel that more research is needed to build an overarching theory. In addition, more empirical research is needed, especially on the long(er)-term usage service robots on actual behaviors, the well-being and potential downsides and (ethical) risks for customers and service employees.

Our review focused on the business and service literature. Future work may want to include additional literature streams, including those in computer science, engineering and information systems.

This article is the first to synthesize the business and service literature on the impact of service robots on customers and employees.

On the educational level, this paper aims to show a practical case of dialogic web‐based learning. It has provided a consensus during a web‐based negotiation game between four different parties on poverty and inequality. On a multicultural level, this paper seeks to offer diverse cultures of argumentation on global poverty.

The methodology is a web‐based and real life negotiation game, namely “Surfing Global Change” which includes structured online review processes on literature‐based research and reflection.

The paper provides the consensus of four different parties on global development and poverty, and a new system of scaling development based on democratic decisions through a round table for all countries from the global north and the global south.

The presented dialog and consensus‐finding process concentrates on poverty and inequality from the point of view of the G‐8, NGOs, the global rich and the global poor.

This research, based on literature, is formed through a dialog and consensus finding between four different parties (G‐8, NGOs, the rich and the poor).

The purpose of this paper is twofold: first, it aims to investigate how internal and external drivers affect innovation in the Italian food industry. Second, the authors are interested to understand to what extent these drivers are industry specific, and therefore, they are contrasted against those relevant for the pharmaceutical industry in Italy according to the increasing growth of cross-industry innovation between these two sectors. The paper aims, thus, to shed light on the differences between food and pharmaceutical industries in terms of innovation drivers to understand potential precursors of emerging industry convergence.

Both probit and bivariate probit models are estimated, using data from the Italian Community Innovation Survey, in order to provide empirical evidence on drivers affecting innovation in the food and pharmaceutical industries.

The innovation activity of Italian food and pharmaceutical companies strongly relies on the presence of in-house R & D activities. Whereas firms in the pharmaceutical industry combine both internal and external R & D activities and knowledge sources to produce innovation, the case of the food industry is strongly dependent on the acquisition of external technology. In particular, the increased need for absorptive capacity of both sectors emphasises the key role of university research for collaboration, knowledge transfer and product innovation.

The paper gives insights not only on drivers for innovation, but especially on the industry-specific differences which should be taken into account to have a contingent view. Limitations concern the impossibility to perform panel data analysis, due to the design of the database. Furthermore, both food and pharmaceutical sub-samples are not completely representative, since large companies tend to be overrepresented.

This paper provides managerial insights concerning the internal and external drivers affecting innovation. Moreover, it raises awareness as regards the possible differences between the food and pharmaceutical industries, which is crucial for establishing successful pathways for cross-industry innovation.

This study represents one of the few attempts to compare the innovation drivers of two manufacturing sectors (food and pharmaceutical), increasingly involved in cross-industry collaborations, and to highlight the industry-specific differences in those drivers which can act as forerunners of this phenomenon.

Introducing technology at work presents a special challenge as learning is tightly integrated with workplace practices. Current design-based research (DBR) methods are focused on formal learning context and often questioned for a lack of yielding traceable research insights. This paper aims to propose a method that extends DBR by understanding tools as sociocultural artefacts, co-designing affordances and systematically studying their adoption in practice.

The iterative practice-centred method allows the co-design of cognitive tools in DBR, makes assumptions and design decisions traceable and builds convergent evidence by consistently analysing how affordances are appropriated. This is demonstrated in the context of health-care professionals’ informal learning, and how they make sense of their experiences. The authors report an 18-month DBR case study of using various prototypes and testing the designs with practitioners through various data collection means.

By considering the cognitive level in the analysis of appropriation, the authors came to an understanding of how professionals cope with pressure in the health-care domain (domain insight); a prototype with concrete design decisions (design insight); and an understanding of how memory and sensemaking processes interact when cognitive tools are used to elaborate representations of informal learning needs (theory insight).

The method is validated in one long-term and in-depth case study. While this was necessary to gain an understanding of stakeholder concerns, build trust and apply methods over several iterations, it also potentially limits this.

Besides generating traceable research insights, the proposed DBR method allows to design technology-enhanced learning support for working domains and practices. The method is applicable in other domains and in formal learning.