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Family businesses have a dual objective of profit making and providing opportunities for family members. This duality leads to a conflict that may bring poor team work and communication, which is difficult to reconcile. Thus, the study looked into how the performance of family enterprises is affected by family dynamics. Additionally, it examines the relationship's ability to be mediated by effective leadership.

The study adopted a quantitative, explanatory research approach. The study population was family-owned enterprises in KwaZulu-Natal's South Durban Basin, of which 236 were chosen using a snowball and convenience sampling technique. Data was analysed using various descriptive and inferential statistical techniques, namely, multiple regression and the standard deviation.

The finding of the study shows that family dynamics significantly influenced business performance both directly and indirectly through effective leadership. Besides, the family firms with larger employee sizes have better effective leadership that positively contributes to the business performance.

The study recommends that family businesses should train their members to ensure leadership effectiveness.

This study is unique in that it was conducted in Black Townships and focusses mainly on businesses owned by families of Indian descent that need to prepare for leadership/ownership. It also contributes to academic literature on family dynamics and will encourage families to recognise the importance of strong leadership in controlling family dynamics to improve business success.

Recently, scholars are pushing for an internal corporate social responsibility (CSR) view through employee perspectives regarding CSR efforts, particularly in considering how organizations can act responsibly toward internal stakeholders (May, 2011). Thus, research has begun taking a “micro-turn” in analyzing CSR (Aguinis and Glavas, 2012), focused on individual analysis of such practices within organizations. The purpose of this study is to uncover the organizational sensemaking of CSR by an important yet less understood stakeholder group, employees.

This study takes a primarily qualitative, micro-approach via interviews (n = 42) to understanding the internal sensemaking of various organizations' CSR efforts from the perspective of employees. Organizational discourse analysis is utilized.

At the individual level, findings from over 40 one-on-one interviews highlighted how this stakeholder group rationalizes, perceives and identifies with their employers' socially responsible efforts. Findings uncover both macro- and micro-level understandings of CSR, as well as the reality of CSR within particular organizations from an operational standpoint.

This study provides important theoretical and methodological implications, particularly in its explicitly interpretive and qualitative approach. Specifically, this work contributes to the micro-foundations and limited internal view of CSR by interviewing over 40 employees.

This study provides important pragmatic implications, particularly when considering how CSR is communicated to (internal) stakeholders. Additionally, CSR must be seen as strategic and embedded in core business practices, rather than a one-off campaign.

On a societal level, there is an expectation that corporations take care of their employees in terms of emotional and physical well-being, equity, work–life balance, among others. This study suggests a move to more inward-facing CSR practices—specifically those benefiting internal members.

This work contributes to research on the micro-foundations and limited internal view of CSR and provides important pragmatic implications. Specifically, the use of interviews of employees in gaining access to an important stakeholder group is a significant contribution to CSR scholarship.

This paper aims to study the role of self-concept in consumer relationships with anthropomorphised conversational artificially intelligent (AI) agents. First, the authors investigate how the self-congruence between consumer self-concept and AI and the integration of the conversational AI agent into consumer self-concept might influence such relationships. Second, the authors examine whether these links with self-concept have implications for mental well-being.

This study conducted in-depth interviews with 20 consumers who regularly use popular conversational AI agents for functional or emotional tasks. Based on a thematic analysis and an ideal-type analysis, this study derived a taxonomy of consumer–AI relationships, with self-congruence and self–AI integration as the two axes.

The findings unveil four different relationships that consumers forge with their conversational AI agents, which differ in self-congruence and self–AI integration. Both dimensions are prominent in replacement and committed relationships, where consumers rely on conversational AI agents for companionship and emotional tasks such as personal growth or as a means for overcoming past traumas. These two relationships carry well-being risks in terms of changing expectations that consumers seek to fulfil in human-to-human relationships. Conversely, in the functional relationship, the conversational AI agents are viewed as an important part of one’s professional performance; however, consumers maintain a low sense of self-congruence and distinguish themselves from the agent, also because of the fear of losing their sense of uniqueness and autonomy. Consumers in aspiring relationships rely on their agents for companionship to remedy social exclusion and loneliness, but feel this is prevented because of the agents’ technical limitations.

Although this study provides insights into the dynamics of consumer relationships with conversational AI agents, it comes with limitations. The sample of this study included users of conversational AI agents such as Siri, Google Assistant and Replika. However, future studies should also investigate other agents, such as ChatGPT. Moreover, the self-related processes studied here could be compared across public and private contexts. There is also a need to examine such complex relationships with longitudinal studies. Moreover, future research should explore how consumers’ self-concept could be negatively affected if the support provided by AI is withdrawn. Finally, this study reveals that in some cases, consumers are changing their expectations related to human-to-human relationships based on their interactions with conversational AI agents.

This study enables practitioners to identify specific anthropomorphic cues that can support the development of different types of consumer–AI relationships and to consider their consequences across a range of well-being aspects.

This research equips marketing scholars with a novel understanding of the role of self-concept in the relationships that consumers forge with popular conversational AI agents and the associated well-being implications.

This study aims to propose a model of publics' ethical activism, testing the role of emotional outrage in an extended framework of the previously established STOPS model. Thus, this study aims to investigate (1) how ethical perception of a social issue affects situational motivation that leads to participation in public activism, and (2) how emotional outrage plays a role in mediating between situational motivation and activism behaviors.

The study aims at investigating the mediating role of emotional outrage between situational motivation and activism behaviors, which have not been investigated thoroughly in public relations research. By conducting a national survey with 386 people (N = 386) living in Australia, the study's suggestive model was tested in the context of two ethical issues (e.g. climate change and anti-racism). This study found that people who perceive an ethical issue are likely to be motivated to participate in activism behaviors. Specifically, three situational perceptions (i.e. problem recognition, constraint recognition and involvement recognition) were found to be significant factors affecting situational motivation (SM) in problem solving. A high level of emotional outrage was found to play a mediating role between SM and consequential ethical activism behaviors. The more people feel outraged about an ethical issue, the more likely they will engage in punitive behavior. This study contributes to the theoretical development of public relations by illuminating how situational perceptions lead to emotional outrage that promotes behavioral intentions in an ethical context. This study also suggests that a practitioner should be sought to manage the levels of perceptual factors when setting up a communication plan in response to an ethical public crisis.

This study found that people who perceive an ethical issue are likely to be motivated to participate in activism behaviors. Specifically, three situational perceptions (i.e. problem recognition, constraint recognition and involvement recognition) were found to be significant factors affecting situational motivation (SM) in problem solving. A high level of emotional outrage was found to play a mediating role between SM and consequential ethical activism behaviors. The more people feel outraged about an ethical issue, the more likely they will engage in punitive behavior.

This study substantiates how three perceptual antecedents may conjointly affect situational motivation. Also, the findings in this study also contribute to theoretical development in predicting ethical activism intentions. Another contribution of this study is to demonstrate the mediating role of emotional outrage between situational motivation and ethical activism. The authors strived to explore individuals' perceptions and its impact on intention to boycott against ethical problematic social issues. It should be considered that this study used a hypothetical and manipulated situation where respondents are exposed to the visual stimuli that focus on the moral problems that those specific issues have raised.

First, as problem recognition plays a prime mover role in the overall problem-solving process in an ethical context, organizations should reduce individual's ethical problem recognition. When setting up a communication plan, an organization should showcase their positive role in addressing the ethical problems (e.g. to show Adani's commitment to indigenous people and efforts to protect the environment). The response strategy should be effective enough to create an “ethical dilemma,” which refers to a situation in which one has a difficult choice to make between two ethical options.

This study contributes to theoretical development of public relations by illuminating how situational perceptions lead to emotional outrage that promotes behavioral intentions in an ethical context. This study also suggests that a practitioner should be sought to manage the levels of perceptual factors when setting up a communication plan in response to an ethical public crisis.

This study aims to test negotiation outcomes when bilinguals negotiate in a foreign rather than their native language. Decision research on the foreign language effect indicates that bilingual individuals may be less susceptible to framing bias when using a foreign language because they make less emotional and biased choices. With increasing international business activity, there is a pressing need to examine the effect of language on bilingual negotiators.

The authors tested the hypotheses using a two (task frame: gain vs loss) × 2 (language: foreign vs native) factorial design recruiting 246 Korean–English bilinguals. A negotiation simulation with three issues was used, and participants exchanged offers with a preprogrammed computer they believed to be a real counterpart.

There was no significant interaction effect between framing and language on the offers made, but the framing effect was mitigated and nonsignificant for negotiators who used their foreign language. The interaction between framing and language conditions significantly affected negotiators’ positive emotions and satisfaction with the negotiation.

The uniqueness of this paper is related to its effort to investigate the effect of negotiation language on a negotiator’s decision-making. Considering globalization and the increasing prevalence of international negotiations, this paper has implications for researchers and practitioners.

This study investigates the influence of artificial intelligence (AI) stimuli on customer stickiness (CS), the mediation effects of social presence (SP) and the moderating impacts of customer traits in this influencing process.

Drawing on the arousal theory and social response theory, a conceptual model was established and tested by a data set of 268 customers in the catering industry.

The results indicate that AI stimuli, such as perceived personalization and perceived interactivity, positively affect CS. SP partially mediates the influence of AI stimuli on CS. Customer traits such as customers' need for interaction (NFI) and novelty seeking (NS) actively moderate the mediating effects of SP.

This study advances the interactive marketing literature from three aspects. Firstly, instead of focusing on the functional aspects of AI stimuli, it extends our understanding of AI-enabled interactive marketing by examining the effects of social and emotional aspects of AI stimuli on customer response. Secondly, it extends our understanding of social response by illuminating the mediating effects of SP between AI stimuli and CS. Finally, it provides new insights and empirical evidence for the research focus on customer traits in AI-enabled interactive marketing.

To remain competitive, efficient and productive, organisations need to ensure that their employees continuously learn and develop. This is even more challenging and critical in times characterised by volatility, uncertainty, complexity and ambiguity (VUCA). Hence, several technological applications have been introduced with the promise to make organisational training and development (T&D) more efficient and targeted through digitisation and automation. However, digitising and automating processes in the sensitive field of T&D also poses challenges and perils for employees and organisations as a whole.

Structured by the T&D process of (1) assessment/planning, (2) design/implementation and (3) evaluation, the authors present different digitisation and automation possibilities and discuss the specific opportunities and challenges they pose. Subsequently, the authors identify and discuss overarching themes of opportunities and challenges of technology use in T&D via a meta-review.

This synthesis revealed three central topics that decision-makers in T&D should carefully consider when it comes to the implementation of technological applications: opportunities and challenges of (1) data collection, (2) decision-making and (3) the value of human contact.

This review integrates previously fragmented research on specific technologies applied to specific T&D functions and provides researchers and practitioners with a fuller picture of the opportunities and challenges of technology applied in T&D.

This chapter examines early childhood pedagogy in Germany. It developed in the wake of the Programme for International Student Assessment (PISA) education debate, and the expansion of higher education led to new types of application-oriented courses. For a long time, child day care in Germany was not seen as a subject of theoretical worth. Vocational training for kindergarten teachers, overwhelmingly employed in day care centers, has not yet been academized. The academic study of childhood pedagogy is a thereof separate project, taught especially at universities of applied science. Nevertheless, constructions of new disciplines are directed toward professional fields, for which they claim relevance with their academic training. With its focus on “Bildung” childhood pedagogy in Germany claims to offer a scientifically based solution to the practical problems of action in child day care. This chapter discusses the specific content of the curricula statistical figures of graduates at universities and in the fields of practice. It provides first empirical clarification on observable phenomena of a scientific “penetration” of cognitive rationality in kindergartens. It fosters an academic habitus that induces a distancing from direct interaction with children, leads to a diversification of tasks in day care centers, and promotes hierarchical processes of professional role differentiation in the field of childcare.

The purpose of this study is to develop a framework for the perceived intelligence of VAs and explore the mechanisms of different dimensions of the perceived intelligence of VAs on users’ exploration intention (UEI) and how these antecedents can collectively result in the highest level of UEI.

An online survey on Amazon Mechanical Turk is employed. The model is tested utilizing the structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA) approach from the collected data of VA users (N = 244).

According to the SEM outcomes, perceptual, cognitive, emotional and social intelligence have different mechanisms on UEI. Findings from the fsQCA reinforce the SEM results and provide the configurations that enhanced UEI.

This study extends the conceptual framework of perceived intelligence and enriches the literature on anthropomorphism and users’ exploration. These findings also provide insightful suggestions for practitioners regarding the design of VA products.

Financial services industry is increasingly showing interest in automated financial advisors, or robo-advisors, with the aim of democratizing access to financial advice and stimulating investment behavior among populations that were previously less active and less served. However, the extent to which consumers trust this technology influences the adoption of rob-advisors. The resemblance to a human, or anthropomorphism, can provide a sense of social presence and increase trust.

In this paper, we conduct an experiment (N = 223) to test the effect of anthropomorphism (low vs medium vs high) and gender (male vs female) of the robo-advisor on social presence. This perception, in turn, enables consumers to evaluate personality characteristics of the robo-advisor, such as competence, warmth, and persuasiveness, all of which are related to trust in the robo-advisor. We separately conduct an experimental study (N = 206) testing the effect of gender neutrality on consumer responses to robo-advisory anthropomorphism.

Our results show that consumers prefer human-alike robo-advisors over machinelike or humanoid robo-advisors. This preference is only observed for male robo-advisors and is explained by perceived competence and perceived persuasiveness. Furthermore, highlighting gender neutrality undermines the positive effect of robo-advisor anthropomorphism on trust.

We contribute to the body of knowledge on robo-advisor design by showing the effect of robot’s anthropomorphism and gender on consumer perceptions and trust. Consequently, we offer insightful recommendations to promote the adoption of robo-advisory services in the financial sector.