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The intention of the empirics is to contribute to the general understanding of investor responses to market price shocks. The authors review assumptions about investor behavior in response to price shocks and investigate alternative rebalancing heuristics.

The authors use market data over 40 years to define market shocks. Portfolio rebalancing implements constrained Markowitz mean-variance (MV) heuristics.

Momentum rebalancing in portfolio management outperforms contrarian rebalancing in the study interval. Sensitivity analysis by decade, sector constraints and proportion of security holdings bought or sold continue to support momentum rebalancing.

The results are consistent with under-responding to price shocks at consensus levels in financial markets. The theoretical background provides a basis for experimental lab studies of shocks of different magnitudes under conditions in which participants have information on the levels of other participants and a condition in which they can only observe their previous estimates.

Managing portfolios in the face of price disturbances of different magnitudes is informed by empirical studies and their implications for investor behavior.

This is the first study the authors can locate that uses market data with alternative rebalancing heuristics to estimate price returns from the respective heuristics over a time interval of 40 years. The authors support the results with sensitivity estimates and consider implications for the underlying agent heuristics in light of background studies.

Historical newspaper collections provide a wealth of information about the past. Although the digitization of these collections significantly improves their accessibility, a large portion of digitized historical newspaper collections, such as those of KBR, the Royal Library of Belgium, are not yet searchable at article-level. However, recent developments in AI-based research methods, such as document layout analysis, have the potential for further enriching the metadata to improve the searchability of these historical newspaper collections. This paper aims to discuss the aforementioned issue.

In this paper, the authors explore how existing computer vision and machine learning approaches can be used to improve access to digitized historical newspapers. To do this, the authors propose a workflow, using computer vision and machine learning approaches to (1) provide article-level access to digitized historical newspaper collections using document layout analysis, (2) extract specific types of articles (e.g. feuilletons – literary supplements from Le Peuple from 1938), (3) conduct image similarity analysis using (un)supervised classification methods and (4) perform named entity recognition (NER) to link the extracted information to open data.

The results show that the proposed workflow improves the accessibility and searchability of digitized historical newspapers, and also contributes to the building of corpora for digital humanities research. The AI-based methods enable automatic extraction of feuilletons, clustering of similar images and dynamic linking of related articles.

The proposed workflow enables automatic extraction of articles, including detection of a specific type of article, such as a feuilleton or literary supplement. This is particularly valuable for humanities researchers as it improves the searchability of these collections and enables corpora to be built around specific themes. Article-level access to, and improved searchability of, KBR's digitized newspapers are demonstrated through the online tool (https://tw06v072.ugent.be/kbr/).

This study investigates whether the underrepresentation of women in executive-level roles within the supply chain management (SCM) field is justified or the result of gender injustices. The analysis examines if there is a gender compensation gap within executive-level SCM roles and whether performance differences or other observable factors explain disparities.

Publicly reported executive compensation and financial data are merged to empirically test if gender differences exist and investigate whether the underrepresentation of women in executive-level SCM roles is unjust.

Women occupy only 6.29% of the positions in the sample of 447 SCM executives. Unlike prior studies, we find that women executives receive higher compensation. The analysis does not identify observable factors explaining the limited inclusion of women in top-level roles, suggesting that gender injustices are prevalent in SCM.

This study only considers observable factors and cannot conclusively determine if discrimination is occurring. The low level of inclusion of women in executive roles suggests that gender injustice is intrinsic within the SCM profession. These findings will hopefully motivate firms to undertake transformative actions that result in outcomes that advance gender equity, ultimately leading to social justice for female SCM executives.

The use of social justice and feminist theories, a focus on SCM roles, and an empirical methodology utilizing objective measures represents a novel approach to investigating gender discrimination in SCM organizations, complementing prior survey-based studies.

This paper proposes a set of recommendations based upon the limitations found with the application and assessment process to become a Special Constable (SC) with one of the 43 police forces in England and Wales.

Participants were recruited via online social media platforms Twitter and LinkedIn, as well as personal networks and the study was geared towards both respondents who had completed the whole of the application and assessment process, as well as those who may have withdrawn at a particular point or who failed an element of the assessment.

This study yielded several key findings. First, some respondents had limited to no knowledge of the role of the Special Constable, nor of the depth of police work that would be expected of them. Secondly, respondents indicated that they would have benefited from support during the application and assessment process, specifying the advantages that could be derived from a variety of sources such as local force input and workshop sessions. Finally, respondents stated that poor communication from recruiting teams impacted their experience of applying to the Special Constable programmes, causing them to rethink their decision to join.

This research proposes that a far greater input from serving Special Constables during the application and assessment process is key to improving the experiences of candidates, and to their chances of success with the programme.

This chapter focuses on the COVID-19 pandemic’s impact on the recognition through discourses of essentiality, of low-status workers and more specifically of care aides as an occupational group that performs society’s ‘dirty work’. The pandemic appears as a privileged moment to challenge the normative hegemony of how work is valued within society. However, public recognition through political discourse is a necessary but insufficient element in producing social change. Based on the theory of performativity, this chapter empirically probes conditions and mechanisms that enable a transition from discourse of essentiality to substantive recognition of the work performed by care aides in healthcare organizations. The authors rely on three main sources of data: scientific-scholarly works, documents from government, various associations and unions, and popular media reports published between February 2020 and 1 July 2022. While discourse of essentiality at the highest level of politics is associated with rapid policy response to value the work of care aides, it is embedded in a system structure and culture that restrains the establishment of substantive policy that recognizes the nature, complexity, and societal importance of care aide work. The chapter contributes to the literature on performativity by demonstrating the importance of the institutionalization of competing logics in contemporary health and social care systems and how it limits the effectiveness of discourse in promulgating new values and norms and engineering social change.

An increase in informal job advertisements has been attributed to high unemployment. However, less scholarly attention has been placed on the experiences of victims of advertised job scams.

This explorative study investigates the lived experiences of victims of advertised job scams in Ibadan, Oyo State, Nigeria, adopting Durkheim’s Functionalism and Anomie Theory. Around 35 victims were purposively engaged in in-depth and telephone interviews.

The findings of the study indicated the link between functionalism and anomie, an increasing rate of advertised job scams and a high rate of unemployment and poverty as well as the desperation of victims in getting jobs. The value orientation of an individual is determined by the dynamics of the social institutions. The pattern of job scammers revealed extremists conditioned by the large number of youths seeking employment. The advertised scam jobs are usually unavailable. In addition, employers, through informal job advertisements, subject victims to extortions, exploitation, street begging, kidnapping and rituals as well as sexual harassment and rape. Owing to the high rate of unemployment, many genuine job offers are characterised by bribes, besides trivializing merit.

The government should design measures to tackle the rate of corruption and unemployment. This can be achieved by introducing entrepreneurship and skill acquisition programmes in the nation’s education system.

The Japanese government plans to release ALPS treated water from the Fukushima nuclear power plant starting in the summer of 2023. This has appeared to be a controversial topic in Japan and amongst its neighbors in the regions. This paper focuses on the attitudes of Japanese people towards the government policy, placing it within the context of wider issues.

An online survey of 2,000 participants completed an online survey comprising of Likert type and multi-choice type questions. The results were analyzed using logit regression analysis.

We found that issues other than the ALPS discharge were seen as equally important, but that there was concern about the policy, the impact the discharge would have, and about produce from the area. We also found that the farther away the participants lived, the less concern they showed. Consultations with both local communities and neighboring countries were seen as important by many participants.

This research places the issue of ALPS treated water into a wider context of other global issues and examines the role distance from Fukushima plays in the public’s engagement with the issue. It serves to highlight the mixed results of government efforts to win support for its ALPS discharge policy.

This study aims to understand the impact of extreme weather events on fast-moving consumer goods (FMCG) consumption and to examine the role of anticipated product scarcity and FMCG types on such behavior.

This paper conducted five studies, combining archival data analysis with behavioral experiments. The archival data included sales data from a supermarket chain and weather data from the National Weather Service. The experiments were designed to test the effect of extreme weather cues on consumption, the psychological mechanism behind this effect and moderators.

This research found that consumers’ anticipation of extreme weather events significantly increases their consumption of FMCGs. This research further discovered that these behaviors are driven by anticipated product scarcity and moderated by consumers’ altruisms and FMCG types.

Limitations of the research include the reliance on reported sales data and self-reported measures, which could introduce biases. The authors also primarily focused on extreme weather events, leaving other types of disasters unexplored. Furthermore, cultural differences in disaster response might influence results, yet the studies do not fully address these nuances. Despite these limitations, the findings provide critical insights for FMCG retailers and policymakers, suggesting strategies for managing demand surges during disasters. Moreover, understanding consumer behavior under impending disasters could inform intervention strategies, potentially mitigating panic buying and helping ensure equitable resource distribution. Last, these findings encourage further exploration of environmental influences on consumer behavior.

The findings have practical implications for products, brand managers and retailers in managing stock levels and product distribution during disasters. Furthermore, understanding the psychological mechanisms of these behaviors could inform policymakers’ designs of public interventions for equitable resource allocation during extreme weather events.

The research provides significant social implications by highlighting how extreme weather events impact FMCG consumption. This understanding can guide public policymakers in creating efficient disaster management plans. Specifically, anticipating surges in FMCG purchases can inform policies for maintaining price stability and preventing resource shortages, mitigating societal stress during crises. Moreover, these findings encourage public education around responsible purchasing during disasters, potentially reducing panic buying. By collaborating with FMCG manufacturers and retailers, governments can ensure a steady supply of essentials during extreme weather events. Thus, the research can play a crucial role in enhancing societal resilience in the face of impending disasters.

To the best of the authors’ knowledge, this is the first study to integrate the impact of extreme weather events on consumption behavior with the psychological theory of anticipated product scarcity. The unique focus on FMCGs offers a novel perspective on consumer behavior literature.

The purpose of this study is threefold: to examine the impact of a remuneration committee (RC) on the level of chief executive officer (CEO) remuneration; whether firms with a RC, pay a premium to CEOs with different skill sets (general or specific); and whether a pay premium mitigates the potential for CEO turnover.

This study uses a sample of 5,305 firm-year observations on a data set drawn from companies listed on the Australian Securities Exchange for the period 2007 to 2014. The authors use ordinary least squares as well as logit regression techniques to test the formulated hypotheses. Difference in difference and propensity score matching techniques were undertaken to address the endogeneity concerns.

The findings show that firms with a RC pay a higher total remuneration to CEOs compared to firms without a RC. Furthermore, firms with a RC, value and reward CEOs with general skills by paying a premium not offered to CEOs with industry-specific skills. Paying a premium, in turn, mitigates CEO turnover by strengthening the CEO’s commitment to the organisation.

The study helps us to understand the critical role played by the RC in the remuneration of CEOs. The findings show that RCs act as an effective governance mechanism to deal with issues of executive remuneration and to retain skilled CEOs. Additionally, CEOs who acquire and develop general managerial skills will be able to extract higher pay from improved bargaining power. The findings will be of relevance to shareholders, regulators and company management who have an interest in executive pay and performance.

The purpose of this study is to understand the potential of serious gaming as an imaginative and creative method to collect data in disaster studies that address key concerns such as extractive research, power inequalities, and bridging the theory-practice gap in exploring post-disaster recovery.

Novel serious gaming approach deployed to connect theory-practice by identifying and co-analysing post-disaster recovery gaps in a workshop setting.

The serious game has value in bridging theory-practice divides, identifying and exploring gaps/solutions in post-flood recovery, and serving as a novel social science research approach for disaster studies.

Outlining a dialogic approach to knowledge construction between academics, practitioners, policymakers and community voices on post-disaster recovery.

Fostering collaboration and knowledge construction on post-disaster recovery gaps across stakeholders is valuable in improving disaster resilience strategies that benefit communities affected by disasters.

The paper proposes a creative and co-developed serious game method of data collection for disaster studies.