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This paper explores the effect of tourism (national and international) indicators on income inequality in a sample of 21 Asia Pacific economies.

This study uses panel data set from 1995 to 2020 and employs panel autoregressive distributed lag (ARDL) method for the empirical investigation.

The empirical findings from the panel ARDL models suggest that all of the considered tourism indicators have significant negative impacts on income inequalities. The results remain consistent with alternative indicators and methods.

The findings of this study will be critical for the policymakers to take effective measures to reduce the income inequality. Such measures could include promoting tourism in general, focusing on attracting international tourists or domestic tourists, and putting more weight on developing leisure or business tourism, which will boost the overall economic performance and alleviates inequalities in the society.

This is the first study to consider various forms of tourism indicators to see their impact on income inequality in the Asia–Pacific region, and offers important implications for the policy actions.

In this chapter, we outline the evidence regarding the status effects of physical attractiveness in the workplace. We frame the effects of attractiveness as power and status dynamics shaped by the context of the workplace. Attractiveness serves as a social status that mostly provides benefits in the workplace, although the results are not uniformly positive. We first explain attractiveness as a status characteristic and how it operates in general social interactions. We then examine these effects across three typical yet significant career development milestones in a worker's life: (1) the selection and hiring process of employment, (2) day-to-day interactions with colleagues and co-workers and (3) in leadership roles and positions.

This chapter discusses conceptual links among Hazel Kyrk’s A Theory of Consumption (1923), the overall work of Thorstein Veblen, and Wesley C. Mitchell’s essays on spending and money. The three authors are concerned with transformations in production, related changes in the organization of consumption, and the effects on people. The approach is based on reading of Kyrk’s book in light of an integrated view of Veblen’s overall work. This chapter explains how Mitchell’s essays on money and spending built on Veblen’s work and discusses their relevance for understanding Kyrk’s book as conceptually linked to institutional economics. This chapter delineates the following commonalities: conception of living humans and money as an institution; distinction between business and industrial concerns; connection between distribution, waste, and consumption; and Veblen’s “machine process” of standardization in production and its relation to consumption. This chapter brings more detail in the conceptual and theoretical discussion of Veblen’s influence on Kyrk’s book.

The study investigates the influence of ChatGPT on the labor market dynamics, aiming to provide a structured understanding of the changes induced by generative AI technologies.

An analysis of existing literature serves as the foundation for understanding the impact, while the supply and demand model helps assess the effects of ChatGPT. A text-mining approach is utilized to analyze the International Standard Occupation Classification, identifying occupations most susceptible to disruption by ChatGPT.

The study reveals that 32.8% of occupations could be fully impacted by ChatGPT, while 36.5% might experience a partial impact and 30.7% are likely to remain unaffected.

While this study offers insights into the potential influence of ChatGPT and other generative AI services on the labor market, it is essential to note that these findings represent potential implications rather than realized labor market effects. Further research is needed to track actual changes in employment patterns and job market dynamics where these AI services are widely adopted.

This paper contributes to the field by systematically categorizing the level of impact on different occupations, providing a nuanced perspective on the short- and long-term implications of ChatGPT and similar generative AI services on the labor market.

This paper explores intergenerational perceptions of kindness in the context of Black Lives Matter (BLM) movement and the COVID-19 global pandemic. The purpose of this exploratory study is to investigate perceptions of kindness in the context of traumatic events and its potential value in authentic allyship in organizational environments.

Authors interviewed 65 individuals (31 self-identifying as non-racialized and 34 self-identifying as Black, Indigenous and People of Colour aka BIPOC). Participants included Generation Z (Gen Z; born between 1997–2012/5) and Generation Y (Gen Y; also referred to as Millennials, born between 1981 and 1994/6) across North American, Europe and Africa. Millennials currently represent the largest generation in the workplace and are taking on leadership roles, whereas Gen Z are emerging entrants into the workplace and new organizational actors.

The paper offers insights into how to talk about BLM in organizations, how to engage in authentic vs performative allyship and how to support BIPOC in the workplace. The study also reveals the durability of systemic racism in generations that may be otherwise considered more enlightened and progressive.

The authors expand on kindness literature and contribute theoretically and methodologically to critical race theory and intertextual analysis in race scholarship.

The study contributes to the understanding of how pro-social behaviours like kindness (with intention) can contribute to a more inclusive discourse on racism and authentic allyship.

Authors reveal the potential for kindness as a pro-social behaviour in organizational environments to inform authentic allyship praxis.

This study aims to answer two research questions: first, to what extent can workplace bullying be explained by ageism? And second, does the likelihood of workplace bullying increase when age interacts with gender and ethnic minority?

The authors report results from a survey carried out in 11 organizations in Estonia (N = 1,614) using the Negative Acts Questionnaire-Revised (Einarsen et al., 2009).

The results show that ageism does not explain bullying in Estonia. As in some earlier studies, older age correlates negatively with negative acts, and women report less work-related bullying than men. These findings were unexpected because Estonia's post-socialist background and the highest gender wage gap in Europe suggested otherwise. However, there is gendered ageism in work-related bullying such that older women report more negative acts in their workplace. Respondents from ethnic minority groups do not experience more bullying in general, nor in combination with age. Surprisingly, managers reported both person- and work-related bullying more than employees with no subordinates.

The study contributes to intersectionality literature with a view to workplace bullying in post-socialist study context.

This study aims to develop and validate a scale for measuring accounting service quality (ASQ), which is named ACCOUNTQUAL.

The authors initially investigated the service quality literature in the context of accounting. To develop the scale, the authors carried out three studies. First, the authors conducted 20 in-depth interviews to generate the ASQ items. Then, they undertook a survey with 174 accounting services clients to group these items into factors through exploratory factor analysis (EFA). Finally, the authors carried out another survey with 330 clients to purify and validate the scale through a confirmatory composite analysis (CCA) and structural equation modeling (SEM).

The authors were able to validate the ACCOUNTQUAL scale, which is composed of the following dimensions: efficiency, trust, technological innovation and accountant knowledge, the latter being composed of three aspects: consultative view, technical capacitation and knowledge about clients.

The authors concluded that ASQ is a multidimensional construct that covers the assessment of technical, tooling, relationship and qualification aspects of the accounting service. To the best of the authors’ knowledge, this is the first study that developed and validated a scale for measuring ASQ. If accounting service providers meets the elements presented in the scale, they will potentially deliver a high-quality service.

This study examines whether there are unintended consequences that emerge from status interventions in task groups in relation to cohesion and solidarity. Past theorists have argued that inconsistent status structures produce weaker levels of cohesion and solidarity in comparison to consistent status structures.

Data come from an online experiment involving mixed-sex dyads interacting in one of three conditions. Participants individually completed an ambiguous problem-solving task and then worked together over Zoom audio to form a group decision. In the three conditions, participants were either given no performance feedback before the problem-solving task or were informed the male or the female participant performed better on a pretest related to the task. The conversations were recorded and analyzed using measures related to paraverbal synchronization and accommodation.

In terms of self-reported cohesion, there appeared to be a difference, albeit a weak one, in only the inconsistent-status condition, with female participants reporting higher levels of cohesion in comparison to males. However, in terms of solidarity, there was no significant difference between the conditions.

Although inconsistent status structures were associated with weaker perceptions of cohesion, it did not appear to impact solidarity like theorists have suggested. Status structures do not appear to impact group solidarity.

The nature of group membership in conjunction with status consistency/inconsistency may produce the significant differences in solidarity that theorists have suggested.

To date, there has been little empirical examination of how status consistency affects cohesion and solidarity. Relatedly, the current study advances the research on vocal accommodation by analyzing status and solidarity simultaneously.

This study aims to analyse the impact of digital divide (DD) on income inequality in sub-Saharan Africa over the period 2004–2016.

In applying a finite mixture model (FMM) to a sample of 35 sub-Saharan African (SSA) countries, this study posits that DD affects income inequality differently.

The findings show that the effect of DD on income inequality varies across two distinct groups of countries, which differ according to their level of globalization. In addition, the study shows that most globalized countries are more inclined to be in the group where the effect of DD on income inequality is negative. The results are consistent with several robustness checks, including alternative measures of income inequality and additional control variables.

This study complements that extant literature by assessing linkages among the DD, globalization and income inequality in sub-Saharan African countries contingent on cross-country heterogeneity.