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Family businesses require internal communication (IC) to guide and provide direction, and the unique nature of involving both family and nonfamily employees add complexity. Navigating this complexity helps to ensure effective direction and management of family businesses. This paper explores the existing research concerning IC within family businesses and discusses the lenses and contexts through which it is commonly studied.

This paper provides a concise literature review to identify the most common lenses through which IC in family business has been researched.

IC in family enterprises is mostly studied through the lenses of IC between family generations, IC and the influence on family identity, and IC in times of crises. Existing research is largely focused on the role of family in IC, and limited consideration is given to the role of nonfamily members and family members outside of the business.

The paper synthesizes the direction and findings of existing research into IC within family business and provides avenues for future research. Managerial implications are also presented based on the synthesis of existing literature.

This paper discusses the key features of Generation Alpha from the perspective of their implications for future family business.

The signals perspective is used to review academic and non-academic literature to highlight the key features of Generation Alpha that can be relevant to family business.

Extensive use of digital technology, perceptions of learning, work and a work–life balance and attitudes towards sustainability and social responsibility are the key features of Generation Alpha that hold significant implications for the strategies and operations of future family business.

This is the first paper considering Generation Alpha in the context of future family business, which discusses the key features of this generation from the perspective of succession planning.

Within food industry several changes and innovations are affecting the management of the entire supply chain (production, logistics, etc.). As strategy for the survival and competition, digitalization has assumed a crucial role during the pandemic emergence by causing the reconfiguration of traditional chains and business models. Framed in these premises, the research analyses how digital technologies have innovated the sub-chains of bakery products and pasta within food industry with reference to customers' interactions, delivery and marketing during the COVID-19 pandemic emergence.

Moving from a critical literature review about the perspectives of digital technologies within the tradition of food industry, action research has been adopted to analyze in deep a case study of the start-up “ArteBianca Delivery” located in South Italy. Through this method, researchers have been deeply involved within the start-up to face the challenge of transforming the marketing and customer care into digital ones due to the COVID-19 restriction.

Findings provide empirical evidence about the reconfiguration of the traditional business model of a family firm in the food sector into a digital one with the start-up “ArteBianca Delivery”. The marketing, delivery, e-commerce and customer care components of the business models have been supported and enhanced through the adoption of digital tools, such as mobile applications and social technologies useful both for users and for a more urgent digitization of company.

Implications for practice can be identified into the pattern of digital transformation implemented as well as in the opportunity of replication and contextualization of the results to other companies looking for setting up a digital strategy.

Elements of original contribution can be identified into: (1) the exploration of digital transformation in food family firms caused by the pandemic emergence, (2) the contextualization of the digital transformation to the sub-chains of bakery and pasta and (3) the geographical location of the case.

First, this study assesses the link between research and development (R&D) expenses and firm efficiency. Second, this study explores how family control moderates the link between the two.

This study uses two measures of time-based firm efficiency, namely, a window slacks-based measure (WSBM) and a window epsilon-based measure (WEBM) of data envelopment analysis (DEA). Then, 216 firm-year observations are analyzed in the Taiwanese cultural and creative industries from 2005 to 2017.

This study finds that R&D expenses significantly worsen firm efficiency, and that family control positively moderates this effect. A further test separating the sample into family-controlled and nonfamily-controlled firms indicates that R&D expenses negatively affect the efficiency of nonfamily-controlled firms but positively affect that of family-controlled firms.

The existing literature has examined the link between R&D expenses and corporate performance. However, the process by which R&D expenses affect corporate performance from a production perspective remains unknown.

Overall, this study provides insights for policymakers to scrutinize resource management and R&D expenses from the production and resource-based perspectives.

Drawing on social support theory, this study empirically investigates the relationship between family-supportive supervisor behaviours (FSSBs) and the family cohesion of employees in the presence of job crafting as a mediator and passion for work as a moderator.

This study uses a structural equation modelling technique on three-wave, time-lagged primary data (N = 305) collected from employees of service sector firms in Pakistan.

The results reveal that FSSBs enhance the family cohesion of employees through the underlying mechanism of job crafting. Using passion for work as a moderator, the conditional analysis shows that the link between FSSBs and job crafting becomes stronger in the presence of high passion for work.

This study extends the literature on the link between FSSBs and job crafting and provides insightful theoretical contributions. This study advances social support theory by providing support for and detailing practical implications of promoting FSSBs, thus enhancing the understanding of the positive impact of job crafting behaviours across non-work spheres.

This research paper aims to examine the effect of chief executive officer (CEO) characteristics on earnings management.

Research samples are manufacturing firms listed in the Indonesian Stock Exchange 2015–2021. CEO characteristics include narcissism, gender, age, tenure, experience, nationality and founding family status. Data analysis uses random-effect regression.

The result shows that higher narcissism CEOs have aggressive characteristics so they will be more likely to engage in accrual and real earnings management. Female CEOs, foreign CEOs and founding-family CEOs have higher monitoring and business ethics characteristics so they will be less likely to engage in accrual and real earnings management. CEOs with higher education levels have higher thinking complexity so they will be more likely to engage in accrual earnings management with higher regulator and auditor monitoring barriers than real earnings management. CEOs with financial and accounting experience are familiar with accounting standards and auditor monitoring barriers so they will be more likely to engage in accrual earnings management than real earnings management. On the other hand, there are no effects of CEO age and tenure on earnings management.

This research contributes to providing evidence of the effect of CEO characteristics on earnings management in a specific industry such as manufacturing firms and emerging markets such as Indonesia with the majority group firms being family firms.

This study explores the impact of workplace tele pressure on innovative work performance. The study also tests the mediating effect of the work-family conflict and the moderating influence of job burnout between the work-family conflict and innovative work performance.

Data for the present study were collected through structured questionnaires from 285 employees working in the public and private sector universities. Data were analysed through SPSS and Smart-PLS.

Results confirmed the relationship between workplace tele pressure and innovative work performance, the mediating effect of work-family conflict between workplace tele pressure and innovative work performance and the moderating influence of job burnout between work-family conflicts and innovative work performance.

This study model is supported by the job demands-control model and effort-recovery theory, which is being tested for the first time to support the relationship between workplace tele pressure and innovative work performance. Further, the model “workplace tele pressure → work-family conflicts → job burnout → innovative work performance” was developed and tested for the first time to study the technology-based pressure in the education sector.

How does the family influence individual entrepreneurial entry? The literature does not provide a satisfactory answer. In this paper, we develop an individual entrepreneurial capital perspective to systematically evaluate the impact of current households on entrepreneurship at both theoretical and empirical levels.

Based on the Global Entrepreneurship Monitor (GEM) database from 2010 to 2018, we used logit regression models to examine the relationship between household size and opportunity- and necessity-motivated entrepreneurship.

The empirical results show that with the expansion of household size, the possibility of opportunity-motivated entrepreneurship shows a trend that first declines and then rises, and the possibility of necessity-motivated entrepreneurship shows an upward trend, suggesting that there are two types of opposing mechanisms that affect the relationship between household and entrepreneurial entry.

Family households are the starting point of individual growth and provide initial cognitive and social resources for decision-making. For entrepreneurs, it is necessary to make full use of household-based capital and networks to promote entrepreneurial activities. For the government, it is necessary to explore the development and implementation of household-based entrepreneurial policies.

Through analyses of the U-shaped relationship between household size and opportunity-motivated entrepreneurship and the positive relationship with necessity-motivated entrepreneurship, we reveal the relationship between household and entrepreneurship, reconcile the contradictions in the literature and contribute to the two fields of family studies and entrepreneurship.

The paper aims to investigate the practices facilitating the transformation of healthcare services, understanding the resulting outcomes in terms of well-being and uplifting changes. a systematic literature review (SLR) focusing on analyzing the healthcare sector under the transformative service research (TSR) theoretical domain is conducted to achieve this goal.

Employing a structured SLR developed based on the PRISMA protocol (Pickering and Byrne, 2014; Pickering et al., 2015) and using Scopus and WoS databases, the study identifies and analyzes 49 papers published between 2021 and 2022. Content analysis is used to classify and analyze the papers.

The SLR reveals four transformative practices (how) within the healthcare sector under the TSR domain, each linked to specific well-being outcomes (what). The analysis shows that both practices and outcomes are mainly patient-related. An integrative framework for transformative healthcare service is presented and critically examined to identify research gaps and define the trajectory for the future development of TSR in healthcare. In addition, managerial implications are provided to guide practitioners.

This research is among the first to analyze TSR literature in the context of healthcare. The study critically examines the TSR’s impact on the sector’s transformation, providing insights for future research and offering a roadmap for healthcare practitioners to facilitate uplifting changes.

This research proposes to organise and distil this massive amount of data, making it easier to understand. Using data mining, machine learning techniques and visual approaches, researchers and managers can extract valuable insights (on guests' preferences) and convert them into strategic thinking based on exploration and predictive analysis. Consequently, this research aims to assist hotel managers in making informed decisions, thus improving the overall guest experience and increasing competitiveness.

This research employs natural language processing techniques, data visualisation proposals and machine learning methodologies to analyse unstructured guest service experience content. In particular, this research (1) applies data mining to evaluate the role and significance of critical terms and semantic structures in hotel assessments; (2) identifies salient tokens to depict guests' narratives based on term frequency and the information quantity they convey; and (3) tackles the challenge of managing extensive document repositories through automated identification of latent topics in reviews by using machine learning methods for semantic grouping and pattern visualisation.

This study’s findings (1) aim to identify critical features and topics that guests highlight during their hotel stays, (2) visually explore the relationships between these features and differences among diverse types of travellers through online hotel reviews and (3) determine predictive power. Their implications are crucial for the hospitality domain, as they provide real-time insights into guests' perceptions and business performance and are essential for making informed decisions and staying competitive.

This research seeks to minimise the cognitive processing costs of the enormous amount of content published by the user through a better organisation of hotel service reviews and their visualisation. Likewise, this research aims to propose a methodology and method available to tourism organisations to obtain truly useable knowledge in the design of the hotel offer and its value propositions.