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Racism occurs in many ways and varies across countries, evolving and adapting to sociocultural history, as well as contemporary economic, political and technological changes. This chapter discusses the multilevel dimensions of racism and its diverse manifestations across multiracial societies. It examines how different aspects of racism are mediated interpersonally, and embedded in institutions, social structures and processes, that produce and sustain racial inequities in power, resources and lived experiences. Furthermore, this chapter explores the direct and indirect ways racism is expressed in online and offline platforms and details its impacts on various groups based on their intersecting social and cultural identities. Targets of racism are those who primarily bear the adverse effects. However, racism also affects its perpetrators in many ways, including by limiting their social relations and attachments, and by imposing social and economic costs. This chapter thus analyses the many aspects of racism both from targets and perpetrators' perspectives.

This chapter traces the origin of racism and reviews the historical and contemporary debates around race and racialisation in western thought. There are persistent disagreements surrounding the origin and nature of racism. Because of the evolution of racist ideas, behaviours and institutional practices and policies, there are various views about the meaning and analytical application of racism. This chapter explores how ideas of race – understood as innate and immutable human differences that can be classified and ranked hierarchically based on race – has emerged in western history and evolved over time. It examines how this has influenced social and political practices and associated policies across the evolution of modernity. The chapter specifically discusses the Atlantic slave trade and how it shaped the historical development of race and racism within the context of colonialism. It concludes with a discussion and critical review of some of the racist systems and policies which have been enforced across different multiracial countries.

Though the concept of work engagement has been extensively explored in the academic literature, however, with engagement levels declining globally – causing hike in undesired employee attitudes and behaviours – there is a need to revisit its antecedents and consequences that bear higher current relevance. Within the context of the Indian information technology (IT) sector, this study aims to explore the role of job security and value congruence as two critical antecedents which not only lead to increased engagement levels but also consequently yield the enhanced perception of change, amplified general life satisfaction and reduced intent to leave among employees.

Data were collected from 363 software developers (SDs) in India using the survey questionnaire method and structured equation modelling was used to test the proposed measurement and structural model. The results supported the proposed hypotheses and confirmed the role of work engagement as a mediator between the studied antecedents and consequences.

Results from a study of 363 SDs across India support the proposed hypotheses and confirm the role of work engagement as a mediator between the studied antecedents and consequences.

This study was cross-sectional; therefore, caution is necessary while making any causal inferences. Further work based on longitudinal data would strengthen these findings.

The findings of the study will provide the decision-makers of IT companies with tools to increase engagement among SDs thereby increasing favorable outcomes for organizations and individual employees in the current times.

The study establishes job security and value congruence, as two critical yet cost-effective measures that today’s organization need to integrate into its human resources functions not just to boost employee engagement levels but also to control spiraling costs due to unintended turnover, employee’s resistance of organizational changes and employee ill-being. Future research avenues and practical implications have been discussed.

Engaging in webcare, i.e. responding to online reviews, can positively affect consumer attitudes, intentions and behavior. Research is often scarce or inconsistent regarding the effects of specific webcare strategies on business performance. Therefore, this study tests whether and how several webcare strategies affect hotel bookings.

We apply machine learning classifiers to secondary data (webcare messages) to classify webcare variables to be included in a regression analysis looking at the effect of these strategies on hotel bookings while controlling for possible confounds such as seasonality and hotel-specific effects.

The strategies that have a positive effect on bookings are directing reviewers to a private channel, being defensive, offering compensation and having managers sign the response. Webcare strategies to be avoided are apologies, merely asking for more information, inviting customers for another visit and adding informal non-verbal cues. Strategies that do not appear to affect future bookings are expressing gratitude, personalizing and having staff members (rather than managers) sign webcare.

These findings help managers optimize their webcare strategy for better business results and develop automated webcare.

We look into several commonly used and studied webcare strategies that affect actual business outcomes, being that most previous research studies are experimental or look into a very limited set of strategies.