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This paper highlights the need for studies that explore the experiences of entrepreneurs based in a family business setting who are considering retirement.

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

Retirement planning and subsequent succession management is a significant event in a family business and is an issue that requires research that captures and interprets the perspectives of the different stakeholders.

This paper synthesizes existing research on retirement in an entrepreneurial context, with an emphasis on family business and proposes three key areas of research.

This paper presents a conceptual framework based on a literature review and the findings from an empirical study using data collected from entrepreneurs (business incubatees) over a 15-year period (2004–2019). This paper aim is to discuss and propose areas to consider when (re)designing business incubation.

The data set is based on the experiences of five different cohorts (n = 100), each of which spent 18–24 months participating in a start-up programme sponsored by a business incubation centre (BIC) located in Ireland. To add further depth and nuance to this paper’s findings, an expert focus group was undertaken.

The findings highlight the importance of different activities and skills in a BIC over time and recommend the inclusion of a number of activities in a BIC framework. The activities include continued professional development (CPD), action research, participation in a simulation, development of emotional intelligence, leadership skills and mindset and critical reflection.

This paper presents an appropriate conceptual framework for the (re)design of business incubation. The framework facilitates an improved understanding of the evolution of entrepreneurial activities and outcomes associated with engagement with a BIC.

BIC 4.0, as described in this paper, proposes success as multi-faceted and including space, facilities, networks, mentors, professional development, reflective practice, emotional development and engagement with continuous professional development.

Family business sustainability is a critical issue. This study considers if adopting a strategic entrepreneurship orientation can support the sustainability of a family business.

A qualitative approach is used, in which semi-structured interviews were conducted with twelve family business owners. Data collected during the interviews provides insights into understanding, practices, motivations, behaviours and attitudes relating to sustainability.

Although awareness of sustainability processes and procedures is found to be low, sustainability is important to the family business. However, sustainability is not managed or implemented systematically.

The paper presents a new model to describe the sustainability practices of family businesses. Adoption of strategic entrepreneurship is advocated as mechanism for improving sustainability. Practical and policy implications are suggested to enhance the effectiveness of sustainability initiatives in family business settings.

This study aims to clarify identity building and authenticity management in human brand research, focusing on inside operators managing corporate accounts on social media. Conventional human brand research analyzes online influencers, and there is a research gap in whether these previous findings apply to corporate accounts.

Using netnography and interview data, this study analyzes Japanese corporate accounts on Twitter.

A corporate account’s identity is constructed under the influence of not only the brand but also the actual inside operator, called naka-no-hito, and other accounts that interact on social media. Corporate accounts are able to exhibit humanistic passion through the inside operator’s personality and maintain a distance from commerciality – to manage their authenticity. These activities attract general and other corporate and media accounts, and interactions with them re-create promotion effects.

This study observed that corporate accounts’ authenticity is not a trade-off between passion and commercial transparency but a compatibility achieved by coordinating interests among actors, together with the presence of inside operators.

Prediction is a critical task in targeted online advertising, where predictions better than random guessing can translate to real economic return. This study aims to use machine learning (ML) methods to identify individuals who respond well to certain linguistic styles/persuasion techniques based on Aristotle’s means of persuasion, rhetorical devices, cognitive theories and Cialdini’s principles, given their psychometric profile.

A total of 1,022 individuals took part in the survey; participants were asked to fill out the ten item personality measure questionnaire to capture personality traits and the dysfunctional attitude scale (DAS) to measure dysfunctional beliefs and cognitive vulnerabilities. ML classification models using participant profiling information as input were developed to predict the extent to which an individual was influenced by statements that contained different linguistic styles/persuasion techniques. Several ML algorithms were used including support vector machine, LightGBM and Auto-Sklearn to predict the effect of each technique given each individual’s profile (personality, belief system and demographic data).

The findings highlight the importance of incorporating emotion-based variables as model input in predicting the influence of textual statements with embedded persuasion techniques. Across all investigated models, the influence effect could be predicted with an accuracy ranging 53%–70%, indicating the importance of testing multiple ML algorithms in the development of a persuasive communication (PC) system. The classification ability of models was highest when predicting the response to statements using rhetorical devices and flattery persuasion techniques. Contrastingly, techniques such as authority or social proof were less predictable. Adding DAS scale features improved model performance, suggesting they may be important in modelling persuasion.

In this study, the survey was limited to English-speaking countries and largely Western society values. More work is needed to ascertain the efficacy of models for other populations, cultures and languages. Most PC efforts are targeted at groups such as users, clients, shoppers and voters with this study in the communication context of education – further research is required to explore the capability of predictive ML models in other contexts. Finally, long self-reported psychological questionnaires may not be suitable for real-world deployment and could be subject to bias, thus a simpler method needs to be devised to gather user profile data such as using a subset of the most predictive features.

The findings of this study indicate that leveraging richer profiling data in conjunction with ML approaches may assist in the development of enhanced persuasive systems. There are many applications such as online apps, digital advertising, recommendation systems, chatbots and e-commerce platforms which can benefit from integrating persuasion communication systems that tailor messaging to the individual – potentially translating into higher economic returns.

This study integrates sets of features that have heretofore not been used together in developing ML-based predictive models of PC. DAS scale data, which relate to dysfunctional beliefs and cognitive vulnerabilities, were assessed for their importance in identifying effective persuasion techniques. Additionally, the work compares a range of persuasion techniques that thus far have only been studied separately. This study also demonstrates the application of various ML methods in predicting the influence of linguistic styles/persuasion techniques within textual statements and show that a robust methodology comparing a range of ML algorithms is important in the discovery of a performant model.

Globally, information and communication technology (ICT) is regarded as a reliable tool that facilitates economic development and propels sustainable development. However, little empirical work exists on the specific effects of ICT access and usage on economic and sustainable development. This paper aims to investigate the nexus between ICTs, economic and sustainable development at the global level.

This paper presents ICT for Development (ICT4D) value chain empirical evidence on the linkages between ICTs, economic development and sustainable development goals (SDGs). The research model based on the capability approach is validated by using archival data from 130 global countries and partial least squares–structural equation modelling.

The findings reveal that ICT access and usage significantly influence a country’s attainment of the SDGs. Whilst ICT access plays a crucial role in promoting economic development, ICT usage does not. Also, findings show that economic development significantly mediated the nexus between ICT access and SDGs but not between ICT usage and SDGs. This calls for countries to ensure that access to ICTs is accompanied by a low cost of usage to achieve the full benefits of economic and sustainable development.

Using the ICT4D value chain, this paper empirically shows how ICT readiness and availability in the form of ICT access and ICT uptake (individual ICT use) promote economic development and SDGs (impact). Furthermore, with many studies conducted on SDGs at the country level, this study provides a broader understanding of the roles of ICT access and use on SDGs at the global level. This allows for easy generalisability and reproducibility of results.

Although employees' creativity is vital for firm innovation and overall performance, little is done to examine the potential association between creativity and employment. This paper investigates the contribution of employees' creativity, process and product innovations to firm-level employment growth.

The authors use data from World Bank Enterprise Survey and Innovation Follow-up Survey on 9503 firms covering the period 2012–2015 in 11 countries from sub-Saharan Africa and Heckman's two-stage estimation model.

This study's results indicate a positive role of creativity on firm-level employment growth. In addition, the authors find evidence for a complementary effect arising from the combination of creativity with managerial experience, staff level of education and their associated skills, in contrast, combining creativity with internal or external R&D results in a substitution effect. Interestingly, these synergy effects are pronounced for SMEs but absent for large firms.

Policy makers in developing economies of sub-Saharan Africa should stimulate company management to use free time offered to employees to be creative in the workplace as one of their key strategies to stimulate employment growth. This strategy is expected to be particularly fruitful among SMEs having some managerial experience and skilled stuff.

In contribution to innovative work practices and workforce creativity, the authors demonstrate that providing employees with free time could be an alternative way to enhance the focal firms' performance.

With Sarbanes–Oxley Act of 2002 (SOX), the self-regulation of the auditing profession was replaced with standard setting and oversight by the government. The authors focus on the audit fees literature to examine how this change impacted research trends over time and shaped different aspects of audits.

The authors utilized bibliometric and content analysis to identify research themes pre- and post-SOX.

The change in regulation contributed to an increased focus on clients and continued interest in engagement characteristics as added requirements emphasized the client's governance structure, the auditor's tenure and the type of services provided.

The prominent issue that emerged is how deficiencies in the audit processes and in the client's internal controls are translated into audit fees. The authors discuss regulatory initiatives pursued in other jurisdictions, including mandatory rotation of firms, joint audits and further limitations on non-audit services, as intended and unintended consequences of these requirements warrant further examination.