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This chapter draws the book ‘Generation Z in Asia’ to a close. It first considers the value of the notion of generations before explaining the contribution of this text. The chapter then reflects on the trends that appear to be common across Asian counties while recognising the differences between them. Finally, the chapter questions whether the positive outlook for Generation Z in Asia will continue into the future.

Family businesses are characterized by the simultaneous presence of the family and the business system. The literature analyses sporadically the family support during the creation of a new family business. For this reason, the aim of this article is to offer new reflections and theoretical approaches in the field of family business studies. In fact, the study focuses on the first generation and the relationship and support with the previous generation (latent generation).

This perspective paper is based on a concise review of the literature.

The results of this offer a state of the art, synthesized and integrated, on the first generation to proposal the reader new knowledge on the first generation and relationships with family members.

This perspective paper distinguishes between the first generation formally engaged in the family business and the latent generation. The authors identify latent generation as a generation coeval with the first that supports the entrepreneur without being formally engaged in the family business. This study summarizes existing research on the first generation, highlighting the crucial role of the latent generation. Considering the latent generation determines an implicit and tacit generational transition not yet considered in the literature on the topic This study provides new research directions for scholars and managers to understand the entrepreneurial behaviors of families, family members and family businesses.

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.

A porous cavity flow field generates entropy owing to energy and momentum exchange within the fluid and at solid barriers. The heat transport and viscosity effects on fluid and solid walls irreversibly generate entropy. This numerical study aims to investigate convective heat transfer together with entropy generation in a partially heated wavy porous cavity filled with a hybrid nanofluid.

The governing equations are nondimensionalized and the domain is transformed into a unit square. A second-order finite difference method is used to have numerical solutions to nondimensional unknowns such as stream function and temperature. This numerical computation is conducted to explore a wide range of regulating parameters, e.g. hybrid nano-particle volume fraction (σ = 0.1%, 0.33%, 0.75%, 1%, 2%), Rayleigh–Darcy number (Ra = 10, 10², 10³), dimensionless length of the heat source (ϵ = 0.25, 0.50,1.0) and amplitude of the wave (a = 0.05, 0.10, 0.15) for a number of undulations (N = 1, 3) per unit length.

A thorough analysis is conducted to analyze the effect of multiple factors such as thermal convective forces, heat source, surface corrugation factors, nanofluid volume fraction and other parameters on entropy generation. The flow and temperature fields are studied through streamlines and isotherms. The average Bejan number suggested that entropy generation is entirely dominated by irreversibility due to heat transport at Ra = 10, and the irreversibility due to the viscosity effect is severe at Ra = 10³, but the increment in s augments irreversibility due to the viscosity effect over the heat transport at Ra = 10².

To the best of the authors’ knowledge, this numerical study, for the first time, analyzes the influence of surface corrugation on the entropy generation related to the cooling of a partial heat source by the convection of a hybrid nanofluid.

This study examines the impact of university science parks’ (USPs) capabilities on revenue generation and introduces regional innovation as a moderating variable. This study aims to provide insights into enhancing revenue generation and fully leveraging the role of USPs in promoting revenue generation.

This study employs system generalized method of moments (GMM) estimation for 116 universities in China from 2008 to 2020, using hierarchical regression analysis to examine the relationships between variables.

The findings suggest that USPs play a beneficial role in fostering revenue generation. Specifically, the provision of incubation funding demonstrates a positive correlation, while USPs size exhibits an inverted U-shaped pattern, with a threshold at 3.037 and a mean value of 3.712, highlighting the prevalent issue of suboptimal personnel allocation in the majority of USPs. Moreover, the analysis underscores the critical moderating influence of regional innovation, affecting the intricate interplay between USPs size, incubation funding and revenue generation.

The single country (China) analysis relied solely on the use of secondary data. Future studies could expand the scope to include other countries and employ primary data collection. For instance, future research can further examine how regional development and USPs strategic plan impact revenue generation.

The study recommends that USPs managers and policymakers recognize the importance of incubation funding and determine the optimal quantity of USPs size to effectively foster revenue generation in USPs. Policymakers can use regional innovation as a moderating variable to reinforce the relationship between USPs size and incubation funding on revenue generation.

The study’s findings can contribute to the strategic industry growth and economic development of nations by promoting revenue generation. Leveraging the role of USPs and implementing the study’s recommendations can strengthen innovation and technology capabilities, driving strategic industry growth and economic development. This can enhance global competitiveness and promote sustainable economic growth.

This study introduces regional innovation as a moderating variable and provides empirical evidence of its influence on the relationship between USPs size and incubation funding on revenue generation. This adds value to research to the existing literature on USPs and revenue generation by showcasing the importance of examining the regional impact in research and innovation.

This study aims to examine the sequential effects of work–personal conflict (WPC) and work environment (WE) on turnover intention (TI) with a focus on generational differences in the restaurant context.

To test the two-model approach, this study uses a moderated mediation analysis based on developed scenarios for survey questionnaires completion by participants.

The results found that WE and personal–work conflict each have a unique sequential effect on TI. However, younger generations perceived external conflicts to affect their personal lives more than older generations. For older generations, external conflict affecting personal life had caused higher intentions to quit their jobs.

The study provides the unique contribution of studying the sequential effects of WPC and WE on TI. Furthermore, this study helps to fill the gap of generational research by testing generational perceptions of these relationships.

The purpose of this paper is to derive the analytical expression of fractional order reducing generation operator (or inverse accumulating generating operation) and study its properties.

This disaggregation method includes three main steps. First, by utilizing Gamma function expanded for integer factorial, this paper expands one order reducing generation operator into integer order reducing generation operator and fractional order reducing generation operator, and gives the analytical expression of fractional order reducing generation operator. Then, studies the commutative law and exponential law of fractional order reducing generation operator. Lastly, gives several examples of fractional order reducing generation operator and verifies the commutative law and exponential law of fractional order reducing generation operator.

The authors pull the analytical expression of fractional order reducing generation operator and verify that fractional order reducing generation operator satisfies commutative law and exponential law.

Expanding the reducing generation operator would help develop grey prediction model with fractional order operators and widen the application fields of grey prediction models.

The analytical expression of fractional order reducing generation operator, properties of commutative law and exponential law for fractional order reducing generation operator are first studied.

The purpose of this paper is to explore generational differences between Generation N (persons born 1980 and after) and previous generations with regard to teaching and learning.

This viewpoint article reviews selected literature, synthesizing those articles with opinions on how to approach Generation N for education and training.

Generation N students and employees possess certain key traits that translate into learning in school and the business world. Generation N employees are often not as independent as their predecessor generations requiring more structure, guidance and regular feedback. They prefer working collaboratively, do not respond well to the lecture, often do not communicate effectively by traditional standards, require information individually tailored to them, and require technology that is available to use. These characteristics of Gen Ns indicate that instructional designers in schools or the workplace should make appropriate adjustments when facilitating the new generation's learning.

With a rather widespread concern by educators and managers that today's graduates do not possess the critical thinking and other skills needed for the business world, this article lends a perspective on how to approach Generation N learners.