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In this chapter, we aim to investigate the emotional and performance consequences of negative feedback in the workplace and provide an explanation for the varying reactions exhibited by employees.

We adopt a theoretical approach to develop propositions that elucidate the impact of negative feedback on task performance, with a specific focus on the mediating role of emotion regulation. By considering individual differences in task versus relational orientation, we aim to shed light on how these differences influence individuals' responses to negative feedback.

We propose that individuals with a task orientation are more inclined to engage in emotion regulation strategies following negative feedback, leading to improvements in subsequent task performance. Conversely, individuals with a relational orientation tend to internalize negative feedback, impeding their ability to regulate negative emotions and, consequently, hindering task performance enhancement.

Our research contributes to the existing literature by examining the emotional and performance consequences of negative feedback in the workplace. By emphasizing the significance of emotion regulation and individual differences, we provide valuable insights that can inform the management of feedback processes within organizations.

Sustainable development requires businesses to improve their positive and reduce their negative impacts. This chapter discusses how the impact of business on sustainable development can be measured and managed using the sustainable development goals (SDGs). First, it introduces two complementary approaches for measuring impact: a top-down approach that departs from the economic activities that companies undertake; and a bottom-up approach that defines the impacts of individual companies. Second, it argues that companies can manage their impacts on the SDGs through a nexus approach. Instead of treating SDGs as isolated silos, a nexus approach aims to advance multiple SDGs simultaneously (creating co-benefits) while reducing the risk that contributions to one SDG undermine progress on another (avoiding trade-offs).

Business ethics provide a potent source of competitive advantage, placing increasing pressure on organizations to create and maintain an ethical workforce. Nonetheless, ethical breaches continue to permeate corporate life, suggesting that there is something missing from how we conceptualize and institutionalize organizational ethics. The current effort seeks to fill this void in two ways. First, we introduce an extended ethical framework premised on sensemaking in organizations. Within this framework, we suggest that multiple individual, organizational, and societal factors may differentially influence the ethical sensemaking process. Second, we contend that human resource management plays a central role in sustaining workplace ethics and explore the strategies through which human resource personnel can work to foster an ethical culture and spearhead ethics initiatives. Future research directions applicable to scholars in both the ethics and human resources domains are provided.

The negative impact of unexpected events, such as terrorism and natural disaster, on national and regional economies has been widely recognized, but seldom quantified immediately after the shock. The objective of this paper is to present an alternative quantitative method to forecast immediate short term impacts given an unprecedented negative shock to a regional economy, including tourism related sectors. The result of application to the September 11 attack over New York City shows promising validity of using a deterministic model of an input-output/social accounting matrix, which depicts the annual flow of and interdependency of industrial sectors in the economy. This implies applicability of the method to forecast immediate impacts of negative events, while further required refinements are suggested.

Using data from the Children of Immigrants Longitudinal Study, this study examines the structural relationships between negative school social relationships, school safety, educational expectation, and academic achievement of Latino immigrant students. Results from multilevel structural equation modeling show that discrimination, unhelpful school social relationships, and experiences of unsafe school environments influence Latino immigrant adolescents’ academic achievement indirectly and directly through their educational expectations. Specifically, this study explores how noncognitive and contextual factors embedded in different structural layers of school organization influence Latino immigrant adolescents’ academic achievement. It draws attention to the impact of negative school factors such as discriminatory and unsupportive school social relationships, and negative and unsafe school structures that undermine school life. Based on our findings, we argue that as Latino immigrant students internalize negative experiences from their school experiences during the critical period of adolescence, such accumulated negative internalization may reinforce negative self-perceptions and inaccurate stereotypes. Not only discrimination but also other negative school features such as the absence of academic supporters, nonacademically oriented friends, and unsafe learning environments inhibit them from navigating positive school opportunities and ultimately, successful school achievement. Implications for the social organization of U.S. public secondary schools with a focus on Latino immigrant adolescents’ academic achievement are discussed.

Considering the classification of the Portuguese cities of Amarante, Braga and Barcelos as UNESCO Creative Cities in 2017, this study employs the case study approach to understand local residents' perceptions of the implications that this classification can bring to each of these cities, to their communities and to local tourism development. More specifically, the research explores the perceived tourism-induced impacts and destination recovery on the three cities, given their certification as Creative Cities. An online questionnaire was used in April 2018 to collect the opinions of local residents. The main findings of this study reveal that most of the respondents are familiarised with the UNESCO Creative Cities classification and are aware that their municipality was awarded this classification in 2017. The findings also reveal that the residents of the three cities have a strongly positive perception of the UNESCO Creative Cities classification. The large majority considers that the classification is important for the tourism development of the cities. A variety of tourism-induced impacts are perceived by the local communities. Overall, the positive impact perceptions outweigh the perceived negative effects. This study contributes to the tourism literature, destination (management) recovery and to local development and place policies of tourist destinations.

Using corporate value statements of the top Fortune 300 firms for the year 2012, we examine relationships among the stated values of these companies, their industries, and their Corporate Social Responsibility (CSR) performance measures. We classify stated values into 21 broad categories. We find that corporate values exhibit strong industry affiliations. Correspondence analysis and regression models indicate that 19 out of 21 values are related to at least one performance measure and while some values are associated with improved performance (e.g., ethics), others (e.g., safety) have a negative impact. Further, while some values have the anticipated impact on performance (e.g., the shareholder value is positively associated with financial performance), some show no relationship (e.g., the environment value is not associated with environmental performance). Finally, our findings also suggest possible CSR washing in some cases. Overall, the study finds corporate values do affect their performance.

Purpose: This chapter examines the effect of COVID-19 on the stock market volatility (SMV) in the Colombo Stock Exchange (CSE), Sri Lanka.

Need for the Study: The study is necessary to understand investor behaviour, market efficiency, and risk management strategies during a global crisis.

Methodology: Utilising daily All Share Price Index (ASPI) data from 2 January 2018 to 31 August 2021, the data are divided into subsamples corresponding to the pre-pandemic period, the pandemic period, and distinct waves of the pandemic. The impact of the pandemic is investigated using the Mann–Whitney U test, the Kruskal–Wallis test, and the Exponential Generalised Autoregressive Conditional Heteroscedasticity (EGARCH) model.

Findings: The pandemic considerably affected CSE – the Mann–Whitney U test produced different market returns during the pre-COVID and COVID eras. The Kruskal–Wallis test improved performance during COVID-19 but did not continue to do so across COVID-19 waves. The EGARCH model detected increased volatility and risk during the first wave, but the second and third waves outperformed the first. COVID-19 had a minimal overall effect on CSE market results. GARCH and Autoregressive Conditional Heteroskedasticity (ARCH) models identified long-term variance memory and volatility clustering. The News Impact Curve (NIC) showed that negative news had a more significant impact on market return volatility than positive news, even if the asymmetric term was not statistically significant.

Practical Implications: This study offers significant insight into how Sri Lanka’s SMV is affected by COVID-19. The findings help create efficient mitigation strategies to mitigate the negative consequences of future events.