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Misinformation surrounding the Sustainable Development Goals (SDGs) has contributed to the formation of misbeliefs among the public. The purpose of this paper is to investigate public sentiment and misbeliefs about the SDGs on the YouTube platform.

The authors extracted 8,016 comments from YouTube videos associated with SDGs. The authors used a pre-trained Python library NRC lexicon for sentiment and emotion analysis, and to extract latent topics, the authors used BERTopic for topic modeling.

The authors found eight emotions, with negativity outweighing positivity, in the comment section. In addition, the authors identified the top 20 topics discussing various SDGs and SDG-related misbeliefs.

The authors reported topics related to public misbeliefs about SDGs and associated keywords. These keywords can be used to formulate social media content moderation strategies to screen out content that creates these misbeliefs. The result of hierarchical clustering can be used to devise and optimize response strategies by governments and policymakers to counter public misbeliefs.

This study represents an initial endeavor to gain a deeper understanding of the public’s misbeliefs regarding SDGs. The authors identified novel misbeliefs about SDGs that previous literature has not studied. Furthermore, the authors introduce an algorithm BERTopic for topic modeling that leverages transformer architecture for context-aware topic modeling.

This chapter aims to identify the impact of misbelief and heuristics on the engagement of giggers and customers with gigging organisations. This is of value due to the plethora of gigging opportunities and our lack of knowledge about how and why people choose to take up these opportunities. In addition, the gigs may frequently go unrecorded with payments made through systems such as PayPal which can allow international payments to be made without remittances. This chapter utilises some of the primary evolutionary theories to explore the efficacy and conflict in communications between gigging organisations, their customers and providers (giggers). Those selected are: misbelief in the conscious mind; and heuristics, such as the availability and confirmatory heuristics in the unconscious mind. Misbelief is addressed as a spandrel, and heuristics are discussed through the lens of fast and frugal approaches. Through a text analysis of 77 international gigging organisations, the messages conveyed are assessed against both evolutionary theory and prior research into the gig economy. The findings are that evolutionary psychology provides a useful framework for analysing these messages, as well as aiding understanding of gigging behaviours. HRM practitioners could make use of this form of analysis to support their design of interactions with giggers to ensure clarity on both sides.

Health misinformation poses severe risks to people’s health decisions and outcomes. A great deal of research in this area has focused on debunking misinformation and found limited effects of correctives after misinformation exposure. The research on prebunking strategies has been inadequate. Most has focused on forewarning and enhancing literacy skills and knowledge to recognize misinformation. Part of the reason for the inadequacy could be due to the challenges in conceptualizing and measuring knowledge. This study intends to fill this gap and examines various types of knowledge, including subjective knowledge, cancer literacy, persuasion knowledge and media literacy. This study aims to understand how knowledge may moderate the effect of misinformation exposure on misbeliefs.

An online experiment with a basic experimental design (misinformation exposure: health misinformation vs factual health message) was conducted. The authors measured and tested the moderating role of different types of knowledge (subjective knowledge, cancer literacy, persuasion knowledge and media literacy) separately to improve the understanding of their role in combatting online health misinformation.

This study found that a higher level of cancer literacy and persuasion knowledge helped people identify misinformation and prevented them from being persuaded by it. A higher level of subjective knowledge, however, reduced the recognition of misinformation, thereby increasing the likelihood of being persuaded by it. Media literacy did not moderate the mediation path.

This study differentiates the role different types of knowledge may have played in moderating the influence of health misinformation. It contributes to a strategic development of interventions that better prepare people against the influence of health misinformation.

An artificial chemistry approach is adopted to explore new ways of investigating a global dynamic of a collective belief. Five derivatives of belief are considered– knowledge, misbelief, delusion, ignorance, and doubt – to be reactants of an abstract chemical solution. The reactants interact one with another by certain laws obtained though unconventional interpretation of a belief update. Several types of reaction systems are studied in computational experiments with the doxastic solutions. A global dynamic of doxastic chemical solutions is also interpreted from a common‐sense point of view.

In recent years, significant demographic changes in most industrial countries have tremendously affected the age distribution of workers in organizations. In general, the workforce has become more age-diverse, providing significant and new challenges for human resource management and leadership processes. The current paper aims to address age-related stereotypes as a major factor that might impede potential benefits of age diversity in organizations.

After a brief review of potential detrimental effects of age-related stereotyping at work, the authors discuss the validity of typical age stereotypes based on new findings from large-scale empirical research with more than 160,000 workers overall.

Although the research summarized in this review is based on large samples including several thousand workers, the cross-sectional nature of the studies does not control for cohort or generational effects, nor for (self-)selection biases. However, the summarized results still provide important guidelines given that challenges due to age diversity in modern organizations today have to be dealt with regardless of the concrete origins of the age-related differences.

This is one of the first reviews challenging popular misbeliefs about older workers based on large-scale empirical research.

Due to demographic changes in most industrialized countries, the average age of working people is continuously increasing, and the workforce is becoming more age-diverse. This review, together with the earlier JMP Special Issue “Facilitating age diversity in organizations – part I: challenging popular misbeliefs”, aims to summarize new empirical research on age diversity in organizations, and on potential ways to support beneficial effects of age diversity in teams and organizations. The second part of the Special Issue focusses on managing mutual perceptions and interactions between different age groups.

A literature review is provided summarizing and discussing relevant empirical research on managing mutual perceptions and interactions between different age groups at work.

The summarized research revealed a number of challenges to benefit from age diversity in organizations, such as in-group favoritism, age norms about appropriate behavior of older workers, intentional and unintentional age discrimination, differences in communication styles, and difference in attitudes towards age diversity. At the same time, managerial strategies to address these challenges are developed.

Together with the first part of this Special Issue, this is one of the first reviews on ways to address the increasing age diversity in work organizations based on sound empirical research.

Risk management in the healthcare sector is a highly relevant sub-domain and a crucial research area from the humanitarian perspective. The purpose of this paper is to focus on the managerial/supply chain risk factors experienced by the government hospitals in an Indian state. The present paper analyzes the inter-relationships among the significant risk factors and ranks those risk factors based on their criticality.

The current research focuses on 125 public hospitals in an Indian state. Questionnaire-based survey and personal interviews were conducted in the healthcare sector among the inpatients and hospital staff to identify the significant risk factors. An integrated DEMATEL–ISM–PROMETHEE method is adopted to analyze the impact potential and dependence behavior of the risk factors.

The analysis asserts the absence of critical risk factors that have a direct impact on patient safety in the present healthcare system under investigation. However, the results illustrate the remarkable impact potential attributed to the risk factor, namely, staff shortage in inducing other risk factors such as employee attitudinal issues, employee health issues and absenteeism altogether resulting in community mistrust/misbeliefs. Maintenance mismanagement, monsoon time epidemics, physical infrastructure limitations are also found to be significant risk factors that compromise patient satisfaction levels.

Multiple options are illustrated to mitigate significant risk factors and operational constraints experienced by public hospitals in the state. The study warrants urgent attention from government officials to fill staff vacancies and to improve the infrastructural facilities to match with the increasing demand from the society. Furthermore, this research recommends the hospital authorities to start conducting induction and training programs for the hospital employees to instill the fundamental code of conduct while working in hectic, challenging and even in conditions with limited resources.

Only limited papers are visible that address the identification and mitigation of risk factors associated with hospitals. The present paper proposes a novel DEMATEL–ISM–PROMETHEE integrated approach to map the inter-relationships among the significant risk factors and to rank those risk factors based on their criticality. Furthermore, the present study discloses the unique setting of the public healthcare system in a developing nation.

The proliferation of health misinformation on social media has increasingly engaged scholarly interest. This research examines the determinants influencing users’ proactive correction of health misinformation, a crucial strategy in combatting health misbeliefs. Grounded in the elaboration likelihood model (ELM), this research investigates how factors including issue involvement, information literacy and active social media use impact health misinformation recognition and intention to correct it.

A total of 413 social media users finished a national online questionnaire. SPSS 26.0, AMOS 21.0 and PROCESS Macro 4.1 were used to address the research hypotheses and questions.

Results indicated that issue involvement and information literacy both contribute to health misinformation correction intention (HMCI), while misinformation recognition acts as a mediator between information literacy and HMCI. Moreover, active social media use moderated the influence of information literacy on HMCI.

This study not only extends the ELM into the research domain of correcting health misinformation on social media but also enriches the perspective of individual fact-checking intention research by incorporating dimensions of users’ motivation, capability and behavioral patterns.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-09-2023-0505

This study aims to address the management of reverse flows in the context of service supply chains. The study builds on the characteristics of services production reported in literature to: identify diverse types of reverse flows in services supply chains, discuss key issues associated to the management of reverse service flows and suggest directions for research for developing the knowledge for management of reverse flows in service contexts.

This study first provides an overview of the theoretical background which supports the identification and the characterization of the flows, and the reverse flows, involved in service production. A short summary of each paper accepted in this special issue is also provided to give readers an overview of the various issues around reverse exchanges in service supply chains that authors have attempted to address.

In this study, the authors identify distinct types of reverse flows in services production building on the analysis of the characteristics of service production and delivery reported in the literature. Our discussion highlights the fact that service supply chains can be quite diverse in the type of exchanges of inputs and outputs that take place between customers and providers, showing that often there can be substantial flows of items to return. In particular, and differently from manufacturing contexts, the authors highlight that in service supply chains, providers might need to handle bi-directional reverse flows.

The lack of research on reverse service supply chains is, to a great extent, a consequence of dominant paradigms which often identify the absence of physical product flows as a key distinguishing feature of service supply chains, and therefore lead to the misbelief that in services there is nothing to return. This special issue therefore aims to clarify this misunderstanding through the limited selection of eight papers that address various issues around reverse exchanges in service supply chains.

While theoretical and empirical research in supply chain is abundant, management of reverse exchanges in service supply chain is sparse. In this special issue we aim to provide the first contribution to understand how the characteristics of service production raise new issues for the management of reverse flows in service supply chains, and to foster the development of adequate management strategies.