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Given the limited understanding of the process of transgenerational entrepreneurship and that knowledge is a fundamental antecedent of entrepreneurial endeavors, this study aims to shed light on how entrepreneurial families (EFs) nurture entrepreneurship across generations, which knowledge is required within the EF to spur new entrepreneurial activities, and how is this knowledge acquired.

Considering the paucity of empirical evidence on the topic under investigation and the related exploratory nature of this study, the authors adopted a qualitative approach by conducting a case study on an Italian wine-making family business.

The case analysis reveals that EF members are required to acquire different types of knowledge at different generational stages to spur new entrepreneurial activities, specifically technical knowledge in the second generation and business knowledge in the third generation. Moreover, the data analysis shows two mechanisms, namely, trust among generations and role separation, that, during both generational transitions, enabled and empowered the younger generations to exploit their knowledge to explore entrepreneurial opportunities and engage in new entrepreneurial activities.

This study provides novel insights into the role of knowledge in transgenerational entrepreneurship, particularly looking at knowledge acquired by EF members across generations. Accordingly, this research contributes to the literature streams of transgenerational entrepreneurship, knowledge management in family businesses and broader knowledge management research.

The purpose of this study is to explore the perspectives of Generation Z college students regarding the job selection process, as well as the impact of digital technology on their career choices and job search endeavors.

Using the grounded theory methodology, the study used in-depth interviews with 15 participants to investigate the research inquiries.

The study identified six emerging themes related to the career aspirations of Generation Z students. The authors generated a job selection process model of Generation Z based on participants’ accounts of their recent job search experience. The model portrays the decision-making process performed by Generation Z job seekers while determining their career path.

To enhance comprehension of the job selection process among Generation Z individuals, future studies should incorporate a broader range of participants encompassing diverse cultural, social and economic backgrounds. Scholars have the potential to examine the relationships between Generation Z job seekers’ job selection, job performance and job satisfaction through a quantitative approach.

The six themes pertaining to optimal jobs for Generation Z can assist HR professionals in enhancing their understanding of the emerging pool of young and talented individuals. The utilization of the four-stage job selection process model may serve as a valuable tool for college career service professionals in the enhancement of tailored training programs.

This empirical study examines Generation Z job seekers’ attitudes toward their future profession, their perceptions of ideal occupations and the influence of technology on their search, preparation and selection processes for future careers.

The purpose of this paper is to present an up-to-date survey on the non-orthogonal multiple access (NOMA) technique with co-operative strategy, a fast-evolving fifth-generation (5 G) technology. NOMA is used for serving many mobile users, both in power and code domains. This paper considers the power-domain NOMA, which is now discussed as NOMA.

The first part of the paper discusses NOMA-based cooperative relay systems using different relay strategies over different channel models. In various research works, the analytical expressions of many performance metrics were derived, measured and simulated for better performance of the NOMA systems. In the second part, a brief introduction to diversity techniques is discussed. The multiple input and multiple output system merged with cooperative NOMA technology, and its future challenges were also presented in this part. In the third part, the paper surveys some new conceptions such as cognitive radio, index modulation multiple access, space-shift keying and reconfigurable intelligent surface that can be combined with NOMA systems for better performance.

The paper presents a brief survey of diverse research projects being carried out in the field of NOMA. The paper also surveyed two different relaying strategies that were implemented in cooperative NOMA over different channels and compared several performance parameters that were evaluated and derived in these implementations.

The paper provides a scope for recognizable future work and presents a brief idea of the new techniques that can be united with NOMA for better performance in wireless systems.

This study aims to better understand how to interact with the five generations that currently make up our workforce.

The author bases her article on 8+ years of HR experience and research.

The five generations are more similar than we think. They want many of the same things, but they want them in different ways. Communication is the biggest difference between the groups.

The paper will better enable readers to engage workers from multiple generations in their own organizations.

This conceptual, multi-voiced paper aims to collectively explore and theorize family entrepreneuring, which is a research stream dedicated to investigating the emergence and becoming of entrepreneurial phenomena in business families and family firms.

Because of the novelty of this research stream, the authors asked 20 scholars in entrepreneurship and family business to reflect on topics, methods and issues that should be addressed to move this field forward.

Authors highlight key challenges and point to new research directions for understanding family entrepreneuring in relation to issues such as agency, processualism and context.

This study offers a compilation of multiple perspectives and leverage recent developments in the fields of entrepreneurship and family business to advance research on family entrepreneuring.

This study aims to understand the reasons for individuals switching from traditional banks to Internet-only banks and examine how switching intentions differ between Generation X and Generation Z. Notably, Generation Z, being digital natives, exhibits distinct characteristics compared to Generation X, who often referred to as digital immigrants. Given the technology-driven nature of Internet-only banks, a multi-group analysis between these two generations was conducted.

This study utilizes Bansal’s push–pull–mooring model as a framework to analyze switching intention. The study collected survey data from 383 Korean participants, consisting of 198 participants from Generation Z and 185 participants from Generation X.

The findings indicate that low satisfaction and discomfort are factors that push people to leave traditional banks. Specifically, Generation Z shows a significantly higher inclination to leave traditional banks due to discomfort. On the other hand, relative advantage, compatibility, observability and trialability are factors that pull people to switch to Internet-only banks. Generation X is more likely to consider adopting Internet-only banks when compatibility is high and complexity is low.

This study is the first to explore unique motivators for Generation Z, such as their discomfort with interpersonal interactions in the retail banking sector. These findings challenge earlier research emphasizing human interaction’s importance in technology adoption, offering insights into their future adoption of contactless services.

Neuroscientific research on addictions has prompted a paradigm shift from a moral to a medical understanding – with substantial implications for legal professionals’ interactions with and decision-making surrounding individuals with addiction. This study complements prior work on US defense attorney’s understandings of addiction by investigating two further perspectives: the potential “next generation” of legal professionals in the USA (criminal justice undergraduates) and legal professionals from another system (Germany). This paper aims to assess their views on the brain disease model of addiction, dominance and relevance of this model, the responsibility of affected persons and preferred sources of information.

Views of 74 US criminal justice undergraduate students and 74 German legal professionals were assessed using Likert scales and open-ended questions in an online survey.

Neuroscientific research findings on addictions and views that addiction is a brain disease were rated as significantly more relevant by American students to their potential future work than by German legal professionals. However, a majority of both samples agreed that addiction is a brain disease and that those affected are responsible for their condition and actions. Sources of information most frequently used by both groups were publications in legal academic journals.

In the USA, information for legal professionals needs to be expanded and integrated into the education of its “next generation,” while in Germany it needs to be developed and promoted. Legal academic journals appear to play a primary role in the transfer of research on addiction into legal practice.

This study complements prior work on US defense attorney’s understandings of addiction by investigating two further perspectives.

This work analyzes female immigrants’ integration in the dimensions of education, labor market participation and fertility in 15 European countries, considering individual characteristics, including cultural background, host countries’ attitudes towards immigrants, the role of women in the family and country-specific integration policy. All these aspects taken together are crucial to understand the main patterns of integration focusing on gender differences.

We focus on second- and first-generation male and female immigrants between the age of 25 and 41, with a length of stay of at least ten years. Enrollment ratios for tertiary education in parents’ countries, the total fertility rate and the female labor force in the mother’s country represent ethnic background. Diversity in the destination regions is captured by local attitudes towards immigrants, the perceived role of women and national policies to integrate migrants [Migrant Integration Policy Index (MIPEX)]. The data are drawn from the European Social Survey (ESS) for 2010–2018. Our results are based on ordinary least squares (OLS) and logit estimates; multilevel analysis was conducted.

We find significant evidence of gender role transmission from mother to daughter; age at immigration seems to be crucial to examine the importance of the culture of origin among immigrants. However, females are responsive to attitudes toward immigrants and gender equality in receiving societies, while integration policies, by defining the set of opportunities, may contribute to both genders’ tertiary education and women’s probability of being in the labor force.

This work underlines that integration policies favoring equal rights as nationals may contribute to both women’s tertiary education and their probability of being in the labor force.

We explore female integration in Europe in the dimensions of education, labor market, fertility and the role of both immigrants’ cultural heritage and specific aspects of destination countries. Previous research, particularly in the USA, has generally focused on some of these features at the expense of a more comprehensive approach. This study builds upon the existing literature and contributes to it by taking a multifaceted approach to female integration in Western Europe, which presents not only an institutional context different from the USA but also some heterogeneity with respect to integration policies and socioeconomic factors.

This paper aims to describe a case between practitioners and social marketing academics to grow and scale a programme that engages with primary schools, teachers, children and the education network, inspiring students to become marine leaders and ocean champions.

Over a six-year period, the authors first applied collective intelligence to work with stakeholders across society to better understand the barriers and solutions to teaching children (6–12 year olds) about the ocean in schools. Following this, a Collective Impact Assessment of the Explorers Education Programme took place to grow the impact of the programme.

The Explorers Education Programme has grown its numbers higher than pre-pandemic levels. In 2022, the Explorers Education Programme had the largest number of participating children, reaching 15,237, with a growth of 21% compared to pre-pandemic levels in 2019 and 79% compared to 2021. In 2023, the programme won the “Best Education Outreach Award” category of the Education Awards in Ireland.

This research stresses the importance of measuring impact. The long-term impact of the Explorers Education Programme at societal, environmental and economical levels takes a much longer time frame to measure than the six years of these research collaborations.

The collaborative approach between academics and practitioners meant that this research had practical implications, whereby necessary and effective changes and learnings could be directly applied to the Explorers Education Programme in real time, as the practitioners involved were directly responsible for the management and coordination of the programme.

The value of collaborations and engagement between academia and practice cannot be underestimated. The ability to collectively reflect and assess impact moves beyond “an” intervention, allowing for more meaningful behavioural, social and system changes for the collective good, inspiring the next generation of marine leaders and ocean champions.

The coal-fired power plants have been confronted with new operation challenge since the unified carbon trading market was launched in China. To make the optimal decision for the carbon emissions and power production has already been an important subject for the plants. Most of the previous studies only considered the market prices of electricity and coal to optimize the generation plan. However, with the opening of the carbon trading market, carbon emission has become a restrictive factor for power generation. By introducing the carbon-reduction target in the production decision, this study aims to achieve both the environmental and economic benefits for the coal-fired power plants to positively deal with the operational pressure.

A dynamic optimization approach with both long- and short-term decisions was proposed in this study to control the carbon emissions and power production. First, the operation rules of carbon, electricity and coal markets are analyzed, and a two-step decision-making algorithm for annual and weekly production is presented. Second, a production profit model based on engineering constraints is established, and a greedy heuristics algorithm is applied in the Gurobi solver to obtain the amounts of weekly carbon emission, power generation and coal purchasing. Finally, an example analysis is carried out with five generators of a coal-fired power plant for illustration.

The results show that the joint information of the multiple markets of carbon, electricity and coal determines the real profitability of power production, which can assist the plants to optimize their production and increase the profits. The case analyses demonstrate that the carbon emission is reduced by 2.89% according to the authors’ method, while the annual profit is improved by 1.55%.

As an important power producer and high carbon emitter, coal-fired power plants should actively participate in the carbon market. Rather than trade blindly at the end of the agreement period, they should deeply associate the prices of carbon, electricity and coal together and realize optimal management of carbon emission and production decision efficiently.

This paper offers an effective method for the coal-fired power plant, which is struggling to survive, to manage its carbon emission and power production optimally.