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The overall goal of science is to build a valid and reliable body of knowledge about the functioning of the world and how applying that knowledge can change it. As personnel and human resources management researchers, we aim to contribute to the respective bodies of knowledge to provide both employers and employees with a workable foundation to help with those problems they are confronted with. However, what research on research has consistently demonstrated is that the scientific endeavor possesses existential issues including a substantial lack of (a) solid theory, (b) replicability, (c) reproducibility, (d) proper and generalizable samples, (e) sufficient quality control (i.e., peer review), (f) robust and trustworthy statistical results, (g) availability of research, and (h) sufficient practical implications. In this chapter, we first sing a song of sorrow regarding the current state of the social sciences in general and personnel and human resources management specifically. Then, we investigate potential grievances that might have led to it (i.e., questionable research practices, misplaced incentives), only to end with a verse of hope by outlining an avenue for betterment (i.e., open science and policy changes at multiple levels).

In this study, I investigate analysts’ ability to process public information for investors by examining price reactions to a sample of analysts’ recommendation revisions issued shortly after quarterly earnings announcements. I find that these recommendation revisions are used by investors to reassess the valuation implications of announced earnings. Confirmatory (contradictory) recommendation revisions that have the same (opposite) sign as prior earnings surprises can cause investors to revise their beliefs about the valuation implications of announced earnings upward (downward) and thus cause price reactions that are positively (negatively) associated with prior earnings surprises. In addition, I find that as the information complexity of earnings announcements gets higher, these recommendation revisions play a more important role in helping investors understand the valuation implications of announced earnings. Finally, I find that analysts’ ability to interpret the valuation implications of announced earnings for investors has remained at a similar level since the adoption of Regulation Fair Disclosure. Overall, this study provides additional evidence on how analysts help improve corporate information environment.

This chapter reviews the recent developments at the intersection of personalization and AI in marketing and related fields. We provide a formal definition of personalized policy and review the methodological approaches available for personalization. We discuss scalability, generalizability, and counterfactual validity issues and briefly touch upon advanced methods for online/interactive/dynamic settings. We then summarize the three evaluation approaches for static policies – the Direct method, the Inverse Propensity Score (IPS) estimator, and the Doubly Robust (DR) method. Next, we present a summary of the evaluation approaches for special cases such as continuous actions and dynamic settings. We then summarize the findings on the returns to personalization across various domains, including content recommendation, advertising, and promotions. Next, we discuss the work on the intersection between personalization and welfare. We focus on four of these welfare notions that have been studied in the literature: (1) search costs, (2) privacy, (3) fairness, and (4) polarization. We conclude with a discussion of the remaining challenges and some directions for future research.

Open access to scientific publications is in this study looked at from the perspective of Finnish biomedical research. In the study we outline the development of open access in Finland and the different channels for open access publishing as well as the recommendations from officials. We argue that the discipline-specific patterns of communicating research should be taken into account when studying open access adoption, and when planning for initiatives and recommendations. We have in the case study on the prevalence of open access articles on the Internet, in the field of biomedical research, found that incentives to publish in open access channels could be developed and that the impact of open access in research publishing is growing and therefore future research is needed.

In this chapter the aim is to analyse the way the relationship between health and food has been changing at the same time as Spanish society itself. From the beginnings of the consumer society until the present day the modernization process has made its imprint on the guidelines public bodies have issued to the public on caring for their health and diet. Beginning in the 1960s with a welfare idea of a healthy diet, very typical of the decade, and meant for a population with nutritional problems, today we have guidelines for an overfed population. The social trends dominant in each historical moment are shown throughout this transformation process and the dietary recommendations have been part of the social change. However, the perceptions of the administration itself on what constitutes a healthy diet have also made their mark on the criteria. The modernizing nature of the paternalistic administration of the 1960s can be easily seen in contrast with the public bodies of the 1980s competing with the messages from the food and agricultural businesses. As the 20th century drew to a close, dietary advice was in keeping with a background dominated by considerations on the nature of social change and in which both public bodies and citizens trusted in the truths of science as a reference point for correct action. At the beginning of the 21st century, reflexivity and questioning of scientific power appear and also an increase in public preoccupation with food risks. Each stage is analysed relating historical background and dietary recommendations.

Anthropomorphism in Artificial Intelligence (AI)-powered devices is being used increasingly frequently in consumer-facing situations (e.g., AI Assistants such as Alexa, virtual agents in websites, call/chat bots, etc.), and therefore, it is essential to understand anthropomorphism in AI both to understand consequences for consumers and to optimize firms' product development and marketing. Extant literature is fragmented across several domains and is limited in the marketing domain. In this review, we aim to bring together the insights from different fields and develop a parsimonious conceptual framework to guide future research in fields of marketing and consumer behavior.

We conduct a review of empirical articles published until November 2021 in Financial Times Top 50 (FT50) journals as well as in 41 additional journals selected across several disciplinary domains: computer science, robotics, psychology, marketing, and consumer behavior.

Based on literature review and synthesis, we propose a three-step guiding framework for future research and practice on AI anthropomorphism.

Our proposed conceptual framework informs marketing and consumer behavior domains with findings accumulated in other research domains, offers important directions for future research, and provides a parsimonious guide for marketing managers to optimally utilize anthropomorphism in AI to the benefit of both firms and consumers.

We contribute to the emerging literature on anthropomorphism in AI in three ways. First, we expedite the information flow between disciplines by integrating insights from different fields of inquiry. Second, based on our synthesis of literature, we offer a conceptual framework to organize the outcomes of AI anthropomorphism in a tidy and concise manner. Third, based on our review and conceptual framework, we offer key directions to guide future research endeavors.

Across different research fields, it is increasingly acknowledged that gender is not a binary variable and goes beyond the male–female dichotomy. At the same time, gender is a prominent social cue that affects evaluations and interactions among individuals. Thus, gender can impact social processes on many levels in complex ways. Meetings provide arenas where key social processes unfold that are relevant to the organization. Understanding which role gender takes in this context is therefore central to organizations as well as meeting research. This chapter provides a critical review of research to date on social influence in meetings, specifically zooming in on the role of gender. The authors conducted a multi-step systematic literature review and identified 43 studies across a wide area of disciplines (e.g., psychology, communication, and management). The authors put special emphasis on the methodologies employed across this work since a comprehensive understanding of the applied methods is core for a synthesis of research results. Through the analysis, the authors pinpoint six variables – individual gender, sex role orientation, gender composition, gender salience, contextual factors such as task type and organizational settings, and the construction of gender as a social concept – that are directly related to gender and which represent factors that are critical for the role of gender in the meeting context. Thereby, this chapter aims to provide a roadmap for researchers and practitioners interested in the role of gender during workplace meetings. The authors conclude by highlighting methodological and managerial recommendations and suggest avenues for future research.

This chapter aims to provide an overview of the ethical framework and decision-making in clinical dementia research, and to analyze and discuss the ethical challenges and issues that can arise when conducting clinical dementia research.

Informed consent is the most scrutinized and controversial aspect of clinical research ethics. In clinical dementia research, assessing decision-making capacity may be challenging as the nature and progress of each disease influences decision-making capacity in diverse ways. Persons with dementia represent a vulnerable population deserving special attention when developing, implementing, and evaluating the informed consent process. In this chapter, particular attention will be given to vulnerability categories and how these influence decision-making capacity. Ethical frameworks with a pragmatic contour and implication are needed to protect vulnerable patients from potential harms and ensure their optimal participation in clinical dementia research.

In addition, this chapter analyses important ethical challenges and issues in clinical dementia research. If handled thoughtfully, they would not pose insuperable barriers to research. But if they are ignored, they could slow the research process, alienate potential study subjects and cause harm to research participants. Ethical considerations in research involving persons with dementia primarily concern the representation of the interests of the participants with dementia and protection of their vulnerabilities and rights.

A core set of ethical questions and recommendations are drawn to aid researchers, institutional review boards and potential research participants in the process of participating in clinical dementia research.

This study documents that an outcome-favorable bias is greater when the quantity of information describing a balanced tax-decision context is substantially increased. Second, the study demonstrates that an outcome-favorable bias can be offset by the use of principles-based ethical standards. Specifically, we examine the effect of AICPA Code of Conduct Section 54 for integrity and Rule 102-6 for advocacy. Students volunteered to participate in this study examining the manner in which accounting novices initially process principles-based standards. Prior studies using student subjects in an audit setting have found that principles-based standards were effective only when students had high levels of moral reasoning (Herron & Gilbertson, 2004), and rules-based technical standards had no impact on student subjects when making financial adjustments (Pflugrath, Martinov-Bennie, & Chen, 2007). If professional standards increasingly rely on principles-based standards, then understanding the impact of such standards on future entrants into the profession would provide guidance in the creation and implementation of future standards, as well as assist educators in the development of accounting curricula. We extend the pattern of past research to a tax setting and show that tax-saving recommendations are a function of the presence of a professional standard and the level of contextual detail.

Purpose – The purpose of this chapter is to examine methodological trends in emerging market strategy research and to provide a comprehensive review of methods of assessing group variation in comparative studies.

Methodology/approach – This comprises a systematic review of the methodology of emerging market research over the past 10 years, followed by methodological best practices for comparative studies involving emerging and mature markets, with exemplars from the past research.

Findings – Despite previous calls for more comparative studies in emerging market research, most of the literature is reporting on single-country studies. There is some confusion in terminology and the methods used in this area of strategy research. Increased attention to the “East” calls for a reevaluation of methods utilized in comparative studies. The methods described in this chapter present best practices for comparative research.

Social implications – More comparative studies would substantially expand our understanding of the differences between the emerging and developed markets, and the potential impact of emerging markets on global economy. Rigorous research methods extend validity and generalizability of the studies.

Originality/value – This chapter is the first study to date to analyze the methodological trends of the entire field of emerging market research over the span of 10 years and to provide systematic methodological recommendations tailored to analyzing variation in comparative studies.