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The purpose of this paper is to explore leadership succession in families in business. Although there is a vast amount of research on leadership succession, no attempt has been made to understand this phenomenon by using an intergenerational learning approach. By applying the Double ABC–X model, the authors discuss how resilience is developed through intergenerational learning during family leadership succession in business.

Based on a single case, the authors define pre- and post-event parameters of the business family under study and use the Double ABC–X Model as an analytical framework. Individual and pair interviews, as well as a family firm workshop, were undertaken following an action research approach using multiple interventions. The qualitative data were collected by reflective journals, field notes and observation protocols. Finally, the authors analyze the data according to a circular deconstruction strategy.

The authors find specific pre-event stressor parameters related to mutual mistrust, independent decision making and non-strategic transmission of power, knowledge and responsibility from predecessor to successor. The intervention based on the intergenerational approach during the post-crisis phase focuses on problem solving and coping within the new situation of co-habitation among the two generations. The intergenerational learning approach based on pile-up of demands, adaptive resources and perception is the source of family adaptation. Additionally, the power of the narrative to reflect past events and project the future seems to the point where the family starts developing resilience.

The way family businesses deal with critical and stressful events during leadership succession may lead to intergenerational learning, which is a source of resilient families. The authors apply the Double ABC–X model to understand family leadership succession in business and further develop it to explain how families develop resilience.

Following the imperative for human-centric digital innovation brought by the paradigm of Industry 5.0, the article aims to integrate the dispersed and multi-disciplinary literature on individual risks for workers to define, explain and predict individual risks related to Industry 4.0 technologies.

The paper follows the question, “What is the current knowledge and evidence base concerning risks related to Industry 4.0 technologies, and how can this inform digital innovation management in the manufacturing sector through the lens of the Industry 5.0 paradigm?” and uses the method of systematic literature review to identify and discuss potential risks for individuals associated with digital innovation. N = 51 contributions met the inclusion criteria.

The literature review indicates dominant trends and significant gaps in understanding risks from a human-centric perspective. The paper identifies individual risks, their interplay with different technologies and their antecedents at the social, organizational and individual levels. Despite this, the paper shows how the literature concentrates in studying risks on only a limited number of categories and/or concepts. Moreover, there is a lack of consensus in the theoretical and conceptual frameworks. The paper concludes by illustrating an initial understanding of digital innovation via a human-centered perspective on psychological risks.

Findings yield practical implications. In investing in the adoption, generation or recombination of new digital technologies in organizations, the paper recommends managers ensure to prevent risks at the individual level. Accordingly, the study’s findings can be used as a common starting point for extending the repertoire of managerial practices and interventions and realizing human-centric innovation.

Following the paradigm of Industry 5.0, the paper offers a holistic view of risks that incorporates the central role of the worker as crucial to the success of digital innovation. This human-centric perspective serves to inform the managerial field about important factors in risk management that can result in more effective targeted interventions in risk mitigation approaches. Lastly, it can serve to reinterpret digital innovation management and propose future avenues of research on risk.

Integrated marketing communications (IMC) is possibly “the richest and most accessible service-learning experience” in the marketing curriculum (Petkus, 2000, p. 68). Yet, despite this recognition, scholars and practitioners continue to lament the pronounced theory-practice gap between how IMC is taught and the practice of it in industry (Schultz and Patti, 2009; Kerr and Kelly, 2017). This research embeds IMC practice within a classroom setting and subsequently explores student marketers' perceptions of their skill development through experiential client-based learning.

An in-depth qualitative study demonstrates the value of integrating experiential learning within an IMC course, captured through students' reflective practice.

Evidence suggests that experiential, client-based projects are suitable for fostering key practice-based skills in the classroom through students “experiencing” IMC at work. However, this is not always easy. In fact, building key skills such as leadership, motivation, communications, organisation and teamwork presents various challenges for students, whilst students appear unaware of other pertinent skills (e.g. persuasion, critical thinking) gained through exposure to “real-world” IMC tasks.

Instructors adopting experiential learning in the marketing classroom have an opportunity to actively design tasks to embed key workplace skills to bridge the theory-practice gap. Client-based projects offer fertile ground for students to experience marketing in action whilst ultimately bolstering their confidence in their workplace skills.

This research contributes to the marketing education literature and acknowledges the importance of embedding key workplace skills into the contemporary marketing curriculum. An overview of challenges and solutions for instructors seeking to adopt experiential learning via client-based projects in the IMC classroom is presented within this research.

With Industry 4.0 and the extensive rise of smart technologies, we are seeing remarkable transformations in work practices and workplaces. Scholars report the phenomenal progress of smart technologies. At the same time, we can hear the rhetoric emphasising their potential threats. This study focusses on how and where intelligent machines are leveraged in the workplace, how humans co-working with intelligent machines are affected and what they believe can be done to mitigate the risks of the increased use of intelligent machines.

We conducted in-depth interviews with 15 respondents working in various leadership capacities associated with intelligent machines and technologies. Using NVivo, we coded and churned out the themes from the qualitative data collected.

This study shows how intelligent machines are leveraged across different industries, ranging from chatbots, intelligent sensors, cognitive systems and computer vision to the replica of the entire human being. They are used end-to-end in the value chain, increasing productivity, complementing human workers’ skillsets and augmenting decisions made by human workers. Human workers experience a blend of positive and negative emotions whilst co-working with intelligent machines, which influences their job satisfaction level. Organisations adopt several anticipatory strategies, like transforming into a learning organisation, identifying futuristic technologies and upskilling their human workers, regularly conducting social learning events and designing accelerated career paths to embrace intelligent technologies.

This study seeks to understand the emotional and practical implications of the use of intelligent machines by humans and how both entities can integrate and complement each other. These insights can help organisations and employees understand what future workplaces and practices will look like and how to remain relevant in this transformation.

This study aims at establishing the moderating role of self-efficacy in the relationship between organisational culture (OC) and organisational commitment in the perspective of institutions of higher learning in a developing country.

A cross-sectional design was used to obtain quantitative data from 572 academic staff in eight universities. The sample was selected following a simple random technique. The study data were analysed using SPSS version 23.

The study findings reveal that OC and self-efficacy influence organisational commitment. Further, self-efficacy moderates the relationship between OC and organisational commitment.

Universities should foster a culture that emphasises collaboration, open communication, inclusion, equity and staff development to increase organisational commitment. In order to build academic staff self-efficacy, universities should provide opportunities for training and development, mentoring, coaching, continuous performance evaluation, and regular feedback to stimulate academic staff's desire to remain committed to the institution. University administrators should look beyond traditional skills and competencies when recruiting future academic staff as their personal beliefs are essential to accelerating organisational commitment.

This study extends the current literature in organisational behaviour and provides a comprehensive understanding of the relationship between OC and organisational commitment using the Competing Values Framework. This study was also conducted in a developing country context, which can always lead to different results than studies conducted in developed countries.

Quality management practitioners have yet to cease the potential of digitalisation. Furthermore, there is a lack of tools such as frameworks guiding practitioners in the digital transformation of their organisations. The purpose of this study is to provide a framework to guide quality practitioners with the implementation of digitalisation in their existing practices.

A review of literature assessed how quality management and digitalisation have been integrated. Findings from the literature review highlighted the success of the integration of Lean manufacturing with digitalisation. A comprehensive list of Lean Six Sigma tools were then reviewed in terms of their effectiveness and relevance for the hybrid digitisation approach to process improvement (HyDAPI) framework.

The implementation of the proposed HyDAPI framework in an industrial case study led to increased efficiency, reduction of waste, standardised work, mistake proofing and the ability to root cause non-conformance products.

The activities and tools in the HyDAPI framework are not inclusive of all techniques from Lean Six Sigma.

The HyDAPI framework is a flexible guide for quality practitioners to digitalise key information from manufacturing processes. The framework allows organisations to select the appropriate tools as needed. This is required because of the varying and complex nature of organisation processes and the challenge of adapting to the continually evolving Industry 4.0.

This research proposes the HyDAPI framework as a flexible and adaptable approach for quality management practitioners to implement digitalisation. This was developed because of the gap in research regarding the lack of procedures guiding organisations in their digital transition to Industry 4.0.

Considering the significance of the human resource management (HRM) and corporate social responsibility (CSR) relationship, the aim of this research is twofold: first is to measure the cultural differences between HRM, CSR and sustainable performance relationship (study 1) and second is to identify the how HRM instigates CSR and sustainable performance (study 2) in the hospitality industry of UK and Pakistan.

A mixed-method approach was used to collect the qualitative and quantitative data from upscale hotels. In Study 1, a multi-respondent and time-lagged strategy was employed to collect the data from 162 Pakistani and 290 UK upscale hotels. In Study 2, in-depth semi-structured interviews were conducted to understand the HRM–CSR–performance nexus.

The results of Study 1 highlight the significant cultural differences in the relationships of HRM–CSR–performance, while Study 2 explains that ethical culture, shared objectives, transparency, training and development, and economic incentives are the factors that push the employees to take part in CSR-related activities and attaining higher sustainable performance.

This study addresses the debate on the difference between cross-cultural studies related to implementing Western theories in shaping, developing and implementing business strategies, including CSR, HRM and sustainable performance in an Asian context.

The purpose of this study is to explore the status and potential of industrial symbiosis in fostering sustainable entrepreneurship among micro and small enterprises (MSEs) in Uganda.

This study is cross-sectional and qualitative in nature. It involved conducting in-depth interviews with MSEs owners in Kampala, and data were analyzed using Atlasi Ti.

The results indicate that industrial symbiosis is a phenomenon that, notably, all MSE owners interviewed were practicing unknowingly, including recycling waste into sellable products, as well as sharing utilities, specialized machines and personnel for the smooth running of their businesses. In addition, participants expressed optimism that industrial symbiosis would be a major tool for business growth, innovation, employment opportunities, diversification and environmental protection for the benefit of the current and the future generations.

This study offers initial evidence on the status and potential of industrial symbiosis in fostering sustainable entrepreneurship among MSEs in Uganda.

Public higher education institutions (HEIs) infrastructure funding is challenging in many developing countries. Encouraging private investment in HEIs infrastructure via a developed expanded corporate social responsibility (ECSR) may improve physical facilities. ECSR is a form of infrastructure tax relief providing physical facilities for HEIs. Academic literature is scarce concerning how ECSR can improve Nigeria’s public HEIs infrastructure and achieve education infrastructure related to Sustainable Development Goal 4 (SDG 4). Therefore, this study aims to proffer measures to improve public HEIs infrastructure and achieve sustainable development connected to Goal 4 focussing on infrastructure via a developed framework.

This is an expansion of an ongoing study, and data were collated via virtual interviews across the six geo-political zones in Nigeria. The analysed data were presented in a thematic pattern.

A total of 18 measures (sub-variables) emerged and were re-grouped into six variables. This includes institutionalising ECSR, HEIs infrastructure via ECSR awareness, HEIs infrastructure incentives, national and state action plans on HEIs infrastructure, a legal framework for HEIs infrastructure and key stakeholders’ participation. Also, the study used the generated six main variables to develop the improved public HEIs infrastructure via ECSR in developing countries, using Nigeria as a case study. This can enhance achieving infrastructure associated with SDG 4 (quality education) and targets.

This study intends to develop the philosophy (ECSR) with an implementable framework to encourage the private sector further to expand their CSR in the infrastructure development to the educational sector, especially in developing countries higher institutions, using Nigeria as a case study.

The study investigates the influence of ChatGPT on the labor market dynamics, aiming to provide a structured understanding of the changes induced by generative AI technologies.

An analysis of existing literature serves as the foundation for understanding the impact, while the supply and demand model helps assess the effects of ChatGPT. A text-mining approach is utilized to analyze the International Standard Occupation Classification, identifying occupations most susceptible to disruption by ChatGPT.

The study reveals that 32.8% of occupations could be fully impacted by ChatGPT, while 36.5% might experience a partial impact and 30.7% are likely to remain unaffected.

While this study offers insights into the potential influence of ChatGPT and other generative AI services on the labor market, it is essential to note that these findings represent potential implications rather than realized labor market effects. Further research is needed to track actual changes in employment patterns and job market dynamics where these AI services are widely adopted.

This paper contributes to the field by systematically categorizing the level of impact on different occupations, providing a nuanced perspective on the short- and long-term implications of ChatGPT and similar generative AI services on the labor market.