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The United States Securities and Exchange Commission (SEC) issued an interpretative release ostensibly mandating the disclosure of the impact that climate change may have on the registrant. One means of enforcement for this release is through the use of comment letters. Prior empirical studies have supported the argument that the SEC oversight through issuing comment letters is effective in enhancing the quality of firms’ disclosures (Asthana & Boone, 2009; Johnston & Petacchi, 2017). With a total of 27 comment letter cases (34 comments based on the topics) regarding climate change disclosure, we do not find clear evidence strongly supporting that the SEC implements its oversight process through systematic procedures and that SEC comment letters enhance the quality of firms’ climate change disclosure. Although some firms responded to the comments proactively, qualitative analysis reveals that the firm’s revisions were not sufficient to provide useful information for market participants in general. The overall finding suggests that the current oversight mechanism for climate change disclosure needs to be significantly improved to enhance the quality of firms’ climate change disclosure.

The aim of this research was to identify the importance of trust as a determinant of participants’ behaviour and the weight of different motivational factors that enhance the amount and the quality of contribution.

Quantitative research methods (online survey of 450 respondents and content analysis of 250 reviews) were applied on a Romanian crowdsourcing platform founded in 2008, with the mission to help potential tourists to take the most informed decision in their travel choices.

The data collected showed that the majority of the active members have a positive outlook over their experience within the community, admitting its trustworthy characteristics. The findings show that most of the top-rated members of the community were not motivated by material rewards such as money or prizes, but rather by socially related factors or by individual factors (positive feedback through comments or acquiring knowledge).

The findings cannot be generalised to other crowdsourcing models, which are subject to different task designs, outcomes, local contexts and even functionalities.

The results of this research can contribute to the design and implementation of customer-centred platforms, which might represent a way of development of organisational communication in the future.

The research posits that individuals’ experience within colloraborative crowdsourcing communities needs to be meaningful, as participants act based on a reciprocity norm, of giving something back to the community which is useful for fulfilling their own information-seeking purposes.

In this chapter, we introduce a new construct we call “Perceived Deception in Online Consumer Reviews” (PDOCR). Online reviews of products are very important to companies and customers, yet they are vulnerable to unethical representations. Even regardless of whether a deceptive review has been posted or not, we take the position that it is important to understand consumers’ perceptions of deception because it is a consumer’s perception that leads him or her to experience subsequent feelings and opinions and to consider follow-up actions. We draw on the literature and build on the Elaboration Likelihood Model and Cognitive Dissonance Theory to create an overarching framework of antecedents of PDOCR, consequences, and moderators. We also report findings from a sample of in-depth interviews with real consumers about their thoughts on these phenomena and related constructs. We use our framework and theories and the qualitative data to derive Research Questions that we hope will spur future research on these important issues.

The authors explore the emergence of altmetrics and Open Access (OA) publishing and discuss why their adoption in the management field lags behind other fields such as life sciences. The authors draw on the status literature to discuss the knowledge production and consumption underpinned by the ‘Impact Factor’ metric and high-status ‘Toll Access’ journals and their implications. The authors explain the rise of altmetrics and OA publishing and their implications on the production and consumption of knowledge. The authors then examine the current situation, challenges and offer reflections on the management field’s progression towards a more open research regime in the digital era.

The purpose of the study is to analyse the impact of COVID-19 on the hospitality industry during the rise of worldwide pandemic crises using Twitter analysis. The study is based on 57,794 English-language tweets mined from Twitter from 1 April 2020 to 15 October 2020. Based on thematic and sentiment analysis, the study found that overall sentiments expressed on Twitter were negative. This chapter contributes to existing knowledge about the COVID-19 crisis and broadens the respondents’ understanding of the potential impacts of the crisis on the most vulnerable tourism and hospitality industry. This research emphasises the sustainable revival of the hospitality industry.

This chapter explores Prospect Theory — a descriptive model of modelling individual choice making under risk and uncertainty, and its applications to a range of travel behaviour contexts.

The chapter provides background on Prospect Theory, its basic assumptions and formulations, and summarises some of its theoretical developments, applications and evidence in the field of transport research.

A body of empirical evidence has accumulated showing that the principle of maximisation of expected utility provides limited explanation of travel choices under risk and uncertainty. Prospect Theory can be seen as an alternative and promising framework for travel choice modelling (although not without theoretical and practical controversy). These findings are supported by empirical observations reported in the literature reviewed in this chapter.

The chapter provides a detailed account of the design and results of accumulated research in travel behaviour research that is based on Prospect Theory’s observations, insights and formulations. The potential of Prospect Theory for particular decision-making in travel behaviour research is articulated, main findings are presented and discussed, and limitations are identified, leading to further research needs.

The Bureau of Economics in the Federal Trade Commission has a three-part role in the Agency and the strength of its functions changed over time depending on the preferences and ideology of the FTC’s leaders, developments in the field of economics, and the tenor of the times. The over-riding current role is to provide well considered, unbiased economic advice regarding antitrust and consumer protection law enforcement cases to the legal staff and the Commission. The second role, which long ago was primary, is to provide reports on investigations of various industries to the public and public officials. This role was more recently called research or “policy R&D”. A third role is to advocate for competition and markets both domestically and internationally. As a practical matter, the provision of economic advice to the FTC and to the legal staff has required that the economists wear “two hats,” helping the legal staff investigate cases and provide evidence to support law enforcement cases while also providing advice to the legal bureaus and to the Commission on which cases to pursue (thus providing “a second set of eyes” to evaluate cases). There is sometimes a tension in those functions because building a case is not the same as evaluating a case. Economists and the Bureau of Economics have provided such services to the FTC for over 100 years proving that a sub-organization can survive while playing roles that sometimes conflict. Such a life is not, however, always easy or fun.