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The purpose of this study is to develop a model for investigating the sharing of harmful messages by employees using social media using the conspiracy theory from a socio-legal perspective. This study also examines the moderating role of different demographic parameters such as age, gender and education toward sharing harmful messages using social media.

Using the conspiracy theory and social impact theory as the foundation of this study, the authors developed theoretical model and validated it using the structural equation modeling technique with 342 participants from various organizations across Europe and Asia. The study also used different statistical measures to understand the demographic impacts toward sharing harmful messages.

It was found that epistemic, existential and social motives significantly and positively influence employees’ inappropriate message-sharing and seeking behavior, which in turn influences them to share harmful messages on social media. The study also indicates that there are some moderating impacts of employee demography toward sharing harmful messages using social media platforms.

This study investigates the antecedents of sharing harmful messages using social media by employees. The present study could be useful for the organizations leaders as well as policymakers and legal fraternity. The study uses a limited number of feedback to validate the model. Also, this is a cross-sectional study which is another limitation of this study.

This study has proposed and validated a theoretical model by using the conspiracy theory as well as the social impact theory which is unique. Moreover, this study adds value to the existing literature on the harmful impacts of social media and its societal impacts. Besides, the validated model of this study has a high explanatory power which is another uniqueness of this study.

This paper explores the relationship between board interlocks and firm outcomes by reviewing the most recent peer-reviewed articles examining this research theme.

A systematic and bibliometric methodology of assessing 369 peer-reviewed articles from the Web of Science (WoS) database was applied. The study also leverages key R-packages litsearchr and Bibliometrix software to enhance the descriptive and thematic literature analysis to identify gaps and opportunities for new research.

This study confirms a rapid increase in articles on this thematic area, over the last decade, with increasing collaboration occurring among researchers in the United States, Europe, China, South Korea and India. Four core research clusters are identified. The first and largest cluster links interlocked directors to issues related to corporate governance and firm outcomes. The second cluster links social network theory, interlocking directorates and firm outcomes. Smaller emerging research clusters include topics related to ownership structure, board size, political connectedness and impacts on firm outcomes. The final cluster examines the influence of board interlocks on market value and firm innovation.

Interlocked directors can have both positive and negative impacts on a wide variety of firm outcomes. This study places great interest in the selection of new directors, ensuring that the selection has aligned with the needs and interests of the company and disclosures of potential competing interests are declared and considered. Equally important are the governance practices used to monitor directors' behavior and to protect the interest of shareholders and the firm. This is particularly relevant in the internal appointment of interlocked directors to critical positions, such as audit committees or instances where interlocked directors may simultaneously hold CEO or executive leadership positions in other companies.

This paper examines the board interlocks literature related to firm outcomes. Additionally, this review identifies several topics and disciplines which, if pursued, could enrich the literature and promise new avenues for future research.

Buildings are among the biggest contributors to environmental impacts. To achieve energy-saving and decarbonisation objectives while also improving living conditions, it is imperative to undertake large-scale renovations of existing buildings, which constitute the greater part of building stock and have relatively low energy efficiency. However, building renovation projects poses significant challenges owing to the absence of optimised tools and methods for planning and executing renovation works, coupled with the need for a high degree of interaction with occupants.

This paper describes the development of an automated process, based on building information modelling (BIM) and the principal component analysis method, for overcoming building renovation challenges. The process involves the assessment and simulation of renovation scenarios in terms of duration, cost, effort needed and disruptive potential. The proposed process was tested in three case studies; multi-residence apartment buildings comprising different construction components and systems, located in Greece, France and Denmark, on which six different renovation strategies were evaluated using sensitivity analysis.

The developed tool was successfully able to model and simulate the six renovation scenarios across the three demonstration sites. The ability to simulate various renovation scenarios for a given project can help to strategise renovation interventions based on selected key performance indicators as well as their correlation at two different levels: the building level and the renovated surface area level.

The objectives of this paper are twofold: firstly, to present an automated process, using BIM, for evaluating and comparing renovation scenarios in terms of duration, cost, workers needed and disruptive potential; next, to show the subsequent testing of the process and the analysis of its applicability and behaviour when applied on three live demonstration sites located in three different European countries (France, Greece and Denmark), involving six renovation scenarios.

This study aims to underline the importance of addressing gender issues in family firms. It reinvigorates research in this field by revealing its current state, identifying research gaps and suggesting future agendas.

A bibliometric approach using a co-word analysis of 376 papers from the Web of Science database and their 885 keywords was performed to reveal the thematic structure of gender and family firm research, research topics, associations among them and their evolution over the last 30 years (1991–2021).

This review provides an extensive literature base and suggests research topics that facilitate the adoption of a gendered lens in family firm literature and business practice.

This review demonstrates how gender issues are intertwined with management, leadership and family firm approaches. Our observations inform scholars, policymakers and practitioners on the need to integrate gender issues into organizational culture and to connect empowerment strategies with the sociocultural environment.

This study shows the need to address women’s empowerment in business, considering different sociocultural contexts in addition to a Western focus. It also calls for embracing gender and feminist perspectives in research.

The purpose of this paper was to identify social and behavioral factors responsible for panic buying during global pandemics such as COVID-19.

According to regulatory focus theory, behavior of individuals is regulated by two motivational systems – prevention and promotion. Prevention-focused behavior is motivated by security and safety needs and is associated with a strategic preference for vigilant means of goal pursuit. Prevention-focused vigilance is reflected in unwillingness to take risks and low ability to cope with uncertain environments and changing conditions. Promotion-focused behavior is motivated by growth and self-development needs and is associated with a strategic preference for eager means of goal pursuit. Promotion-focused eagerness is reflected in willingness to take risks and high ability to cope with uncertainty and change. Two studies tested the notion that panic buying during public health crises such as COVID-19 is related to the strength of the prevention system, perceived scarcity of products, perceived threat of the disease, age and gender.

Study 1 showed that the higher the perceived scarcity of products, the higher was the probability that panic buying would set in. Yet, different patterns emerged for men and women. Among women, the stronger the prevention focus, the stronger was the effect. Among men, by contrast, the stronger the prevention focus, the weaker was the effect. Study 2 showed that the higher the perceived threat of the disease, the higher was the probability that panic buying would occur. However, different patterns were observed with age. Among older adults, the stronger the prevention focus, the stronger was the effect. Among young adults, by contrast, the stronger the prevention focus, the weaker was the effect.

Implications to address erratic consumer behavior during future pandemics are discussed.

By applying the theory of regulatory focus to consumer marketing, this research helps to identify marketing strategies to manage panic buying and develop contingency plans that address erratic consumer behavior during future pandemics.

The purpose of this paper is to explore the perceptions of operating room staff towards the use of the World Health Organization Surgical Safety Checklist in a tertiary hospital in Jordan.

This was a qualitative descriptive study. Semi-structured interviews were conducted with a purposeful sample of 21 healthcare staff employed in the operating room (nurses, residents, surgeons and anaesthesiologists). The interviews were conducted in the period from October to December 2021. Thematic analysis was used to analyse the data.

Three main themes emerged from data analysis namely compliance with the surgical safety checklist, the impact of surgical safety checklist, and barriers and facilitators to the use of the surgical safety checklist. The use of the checklist was seen as enabling staff to communicate effectively and thus to accomplish patient safety and positive outcomes. The perceived barriers to compliance included excessive workload, congestion and lack of training and awareness. Enhanced training and education were thought to improve the utilization of the surgical safety checklist, and help enhance awareness about its importance.

While steps to utilize the surgical safety checklist by the operation room personnel may seem simple, the quality of its administration is not necessarily robust. There are several challenges for consistent, complete and effective administration of the surgical safety checklist by the surgical team members. Healthcare managers must employ interventions to eliminate barriers to and offer facilitators of adherence to the application of the surgical safety checklist, therefore promoting quality healthcare and patient safety.

This study aims to answer the following research question: What are the opportunities for future research concerning the Frugal Innovation (FI) phenomenon? To address this, the authors propose a novel approach to literature review on the topic. They do so in view of synthesising scholars’ recommendations for subsequent studies. They also advocate that it is time to contribute to the establishment of the FI field by mapping the future of this approach.

The authors conducted a systematic literature review (SLR) to connect past and future research on FI. After the screening process of the documents extracted from multiple databases, they performed a bibliometric analysis to provide an overview of the field. Furthermore, the lexical analysis and descending hierarchical analysis were generated through the IRAMUTEQ software to identify the clusters for future research on FI.

This research not only demonstrates the current state of the art of FI literature but also identifies a research agenda with six categories of opportunities for further studies on the topic: frugal consumer behaviour; establishment of the field; sustainable impact; approaches to different contexts; implementation processes; and challenges for value creation.

The FI phenomenon is receiving increasing attention from scholars in the management field due to its socioeconomic and managerial implications, especially after the Covid-19 outbreak. Therefore, the findings benefit scholars striving to expand the scope of FI research, as well as entrepreneurs, managers and organisations aiming to enhance their social responsibility to reduce their environmental impact.

The nature and amount of data that public organizations have to monitor to counteract corruption lead to a phenomenon called “KPI overload”, consisting of the business analyst feeling overwhelmed by the amount of information and resulting in the absence of appropriate control. The purpose of this study is to develop a solution based on Artificial Intelligence technology to avoid data overloading and, at the same time, under-controlling in business process monitoring.

The authors adopted a design science research approach. The authors started by observing a specific problem in a real context (a healthcare organization); then conceptualized, designed and implemented a solution to the problem with the goal to develop knowledge that can be used to design solutions for similar problems. The proposed solution for business process monitoring integrates databases and self-service business intelligence for outlier detection and artificial intelligence for classification analysis.

The authors found the solution powerful to solve problems related to KPI overload in process monitoring. In the specific case study, the authors found that the combination of Business Intelligence and Artificial Intelligence can provide a significant contribution to the detection of fraud, corruption and/or policy misalignment in public organizations.

The authors provide a big-data-based solution to the problem of data overload in business process monitoring that does not sacrifice any monitored Key Performance Indicators and that also reduces the workload of the business analyst. The authors also developed and implemented this automated solution in a context where data sensitivity and privacy are critical issues.