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The authors propose to estimate a varying coefficient panel data model with different smoothing variables and fixed effects using a two-step approach. The pilot step estimates the varying coefficients by a series method. We then use the pilot estimates to perform a one-step backfitting through local linear kernel smoothing, which is shown to be oracle efficient in the sense of being asymptotically equivalent to the estimate knowing the other components of the varying coefficients. In both steps, the authors remove the fixed effects through properly constructed weights. The authors obtain the asymptotic properties of both the pilot and efficient estimators. The Monte Carlo simulations show that the proposed estimator performs well. The authors illustrate their applicability by estimating a varying coefficient production frontier using a panel data, without assuming distributions of the efficiency and error terms.

This paper aims to explore the growth of the South African additive manufacturing (AM) industry over the past 31 years through the lens of the innovation system (IS) perspective, examining the actor dynamics and mechanisms that facilitated or hindered the industry’s development.

The study used a case study research approach, analysing semi-structured interviews with eight South African AM experts and documentary evidence. The IS framework and the realist evaluation perspective were used, using a context-intervention-mechanism-outcome (CIMO)-based event history analysis (EHA) framework to explore the actor dynamics and mechanisms of the case study.

The study used a case study research approach, analysing semi-structured interviews with eight South African AM experts and documentary evidence. The IS framework and the realist evaluation perspective were used, using a CIMO-based EHA framework to explore the actor dynamics and mechanisms of the case study.

This paper contributes to the South African AM industry literature by providing an overview of the industry events over the past three decades and analysing the industry through the IS framework. The study is among the first to analyse the development of the South African AM industry, presenting innovation scholars and managers with valuable decision-making support by providing insights into the innovation activities performed during each stage of the industry’s development, who performed them, the sequence in which they were performed and the outcomes they delivered.

This chapter offers novel insights into how global corporations can innovate to tackle the global waste crisis and gain sustainable competitive positions. Using two of the most prominent types of global waste crises – food and plastic wastes – we discuss the dilemma of food and plastic waste, why innovations in global firms are needed to address them, and argue that a different perspective among those firms is needed, one which conceptualizes the development, dissemination and use of innovations in waste management, and one which recognizes that innovations, thus, created contribute to advancing the creation of economic, environmental and social value. We conclude using an overarching conceptual framework that depicts the complexity of the new perspective.

The role of chief executive officer (CEO) personal characteristics in shaping corporate policies has attracted increasing academic attention in the past two decades. In this review, the authors synthesize extant research on CEO attributes by reviewing 232 articles published in 29 journals from the accounting, finance and management literature. This review provides an overview of existing findings, highlights current trends and interdisciplinary differences in research approaches and identifies potential avenues for future research.

To review the literature on CEO attributes, the authors manually collected peer-reviewed articles in accounting, finance and management journals from 2000 to 2021. The authors conducted in-depth analysis of each paper and manually recorded the theories, data sources, country of study, study period, measures of CEO attributes and dependent variables. This procedure helped the authors group the selected articles into themes and sub-themes. The authors compared the findings in various disciplines and provided direction for future research.

The authors highlight the role of CEO personal attributes in influencing corporate decision-making and firm outcomes. The authors categorize studies of CEO traits into three main research themes: (1) demographic attributes and experience (including age, gender, culture, experience, education); (2) CEO interactions with others (social and political networks) and (3) underlying attributes (including personality, values and ideology). The evidence shows that CEO characteristics significantly affect a wide range of specific corporate policies that serve as mechanisms through which individual CEOs determine firm success and performance.

CEO selection is one of the most crucial decisions made by corporations. The study findings provide valuable insights to corporate executives, boards, investors and practitioners into how CEOs’ personal characteristics can impact future firm decisions and outcomes that can, in turn, inform the high-stake process of CEO recruitment and selection. The study findings have significant practical implications for corporations, such as contributing to executive training programs, to assist executives and directors attain a greater level of self-awareness.

Building on the theoretical foundation of upper echelons theory, the authors offer an integrated theoretical framework to consolidate existing empirical research on the impacts of CEO personal attributes on firm outcomes across accounting and finance (A&F) and management literature. The study findings provide a roadmap for scholars to bridge the interdisciplinary divide between A&F and management research. The authors advocate a more holistic and multifaceted approach to examining CEOs, each of whom embodies a myriad of personal characteristics that comprise their unique identity. The study findings encourage future researchers to expand the investigation of the boundary conditions that magnify or moderate the impacts of CEO idiosyncrasies.

This chapter has been specifically written for readers interested in incorporating positive education into practice. Expanding on concepts and models first introduced in Chapter 1, it starts with an overview of commonly used wellbeing models and frameworks from positive psychology adapted for application in schools. The chapter also explores the significance of positive education in enhancing educator wellbeing and shares experienced-based insights on how positive education has been implemented effectively, or not. As part of this, the chapter identifies common implementation challenges and offers key recommendations for achieving success. Aligned to this book’s overarching objective of connecting theory with practice, it provides empirical and practical insights, including a Positive Psychology in Practice case study of a UK educator’s experience with embedding positive education in further education (FE).

This study examined social media, tax morale, and tax compliance behaviour. Partial Least Square-Structural Equation Modelling (PLS-SEM) was utilized to investigate the quantitative data gathered from 592 salaried and self-employed taxpayers in East Malaysia, comprising two regions – Sabah and Sarawak. The results showed that social media had no significant effect on tax compliance. There was, however, a significant and negative relationship between social media and tax morale. A significant and positive effect of tax morale on tax compliance was also discovered. The bootstrapping technique indicated that tax morale mediates the association between social media and tax compliance. This research is among the earliest in a developing country to investigate the effect of social media in enhancing tax compliance, thus, contributing to the tax literature with a broader focus.

The integration of social media and e-commerce has resulted in a rising phenomenon among individual content providers (ICPs), who used to offer free content, to provide consumers with paid content, such as online courses, Q&As or consultations. Despite the prevalence of ICPs’ content monetization, empirical research has rarely studied its underlying mechanism. This paper examines how the characteristics of free content contributed by ICPs on social media platforms influence their paid content sales, focusing on the perspective of human brand.

The empirical setting is an online knowledge exchange platform, where users are allowed to provide free content (e.g. answers) on the social media platform and launch paid content (e.g. lectures) on the e-commerce platform. A machine learning technique is employed to construct measures for the characteristics of free content, and fixed-effects estimation is presented to confirm which factors have a significant influence on the sales of paid content.

The empirical results show that the quality, diversity and expertness of free content have a significant positive impact on the sales of the ICP-paid content, with the brand popularity of ICP playing a mediating role.

This study is the first attempt to demystify the relationship between content contribution and ICPs’ content monetization from the perspective of human brand. The findings validate the effectiveness of the “Selling by Contribution” strategy and provide valuable insights for ICPs and social media platforms.

Online brand is becoming a popular and major gateway for consumers for booking various services specifically when they travel for several purposes. The present study aims to explore whether exposure to two separate yet similar modes of communication intervene consumer's brand trust and their subsequent loyalty intention toward the brand. The study further aims to investigate whether consumer's price consciousness has any influence on association between brand trust and brand loyalty in the process of decision -making.

The present study follows a different approach to data collection. The data have been retrieved from online brand (Oyo) page on Facebook through Google Form application. In all, 289 useable responses were retrieved from the travelers aged between 18 and 30. Structural equation modeling using SPSS 25.0 and Amos 26.0 has been applied to examine the effects of brand communication and online reviews on brand loyalty through brand trust.

Empirical evidence supports that even after having strong brand communication, online reviews play a crucial role in consumer's brand loyalty through brand trust. The study further reveals that price consciousness acts as a significant moderator in the relationship between consumer's brand trust and brand loyalty.

The current research contributes to the online brand and marketing knowledge by empirically showing the pertinence of consumer–brand relationship in an online brand context through a parsimonious model by examining how the two distinct mechanisms of communication influences consumer brand trust and loyalty intention.

The parsimonious framework of consumer–brand relationship adds to explicating the dual marketing challenges of communication and to draw a positive consumer response (i.e. consumer brand loyalty). The study attempts to examine the impact of two distinct yet identical modes of communication which facilitate shaping consumer brand trust that reinforce the strategic value of the circumstance and equips it with solid theoretical structure within an endeavor of the strategic significance of online brand managers.