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Empirical evidence on how supervisors have perceived the changes and the implications of the COVID-19 pandemic on their supervision is scarce. This paper aims to examine how the changing landscape of doctoral education has affected supervision from the supervisors’ perspective.

This survey addressed change, challenges and impact in supervisory responsibilities due to COVID-19 pandemic. The survey was completed by 561 doctoral supervisors from a large multi-field research-intensive university in Finland.

Results show that supervisors estimated that their supervision had been negatively affected by the pandemic, but to a lesser extent than their doctoral candidates’ progress and well-being. In the changed landscape of supervision, the supervisors grappled with challenges related to recognising doctoral candidates’ need of help. Supervisors’ experiences of the challenges and the impact of changed circumstances varied depending on the field and the position of the supervisor, whether they supervised part- or full-time candidates, and the organisation of supervision.

The slowed-down progression and diminishing well-being of doctoral candidates reported by supervisors is likely to influence supervision in a delayed way. Supervisors may be anticipating some issues with stalled studying and stress, but the question is the extent to which they are prepared to handle these as they emerge in supervision encounters. The fact that the experiences varied across field, position, organisation of supervision and the type of candidates (full or part time) suggests that support provided for supervisors to overcome challenges needs to be tailored and engineered.

This study contributes to the literature on doctoral supervision by exploring the impact of transitioning to online supervision and the rapid changes in doctoral supervision as a consequence of the recent global pandemic.

The repatriation process often involves challenging and unexpected readjustment issues, leading to high turnover amongst repatriates. However, research has focussed on the re-entry decisions and experiences of company-assigned (CA) repatriates, whilst studies on self-initiated expatriates (SIEs) that repatriate back to their home countries (i.e. self-initiated repatriates (SIRs)) are limited, particularly in emerging transition economies. This study develops and tests a model to explain the factors influencing professional SIRs' turnover intentions and how repatriation readjustment affects their intentions in Vietnam.

The data was collected from 445 Vietnamese professional SIRs who worked and/or studied for extended periods overseas and subsequently returned to Vietnam. Structural equation modelling (SEM) was used to analyse the data.

Results indicate that both work and life repatriation adjustment difficulties have significant positive effects on turnover intentions, whilst only repatriation life adjustment difficulties have an indirect effect via life dissatisfaction. Further, cultural distance positively influences repatriation adjustment difficulties and turnover intentions. SIRs' on-the-job and off-the-job embeddedness negatively moderate the influence of repatriation work and life adjustment difficulties on turnover intentions, respectively.

The study develops a theoretical model explaining how repatriation difficulties impact the turnover intentions of SIRs, considering contextual factors including cultural distance and embeddedness. The research highlights the importance of job embeddedness as a form of social and organisational support for SIRs in managing psychological challenges related to repatriation, which can help reduce turnover and retain highly skilled talent. Additionally, the study extends repatriation research on an under-researched subgroup of SIEs, SIRs, in an under-researched emerging transition economy context.

The purpose of this paper is to enrich the knowledge about blockchain (BC) technology implementation in the agri-food industry by providing an interpretive framework of the key marketing opportunities and challenges, related to the adoption of BC for Geographical Indication (GI) products.

The study adopts an explorative qualitative research design through the cognitive mapping technique applied to the cognition of different market players involved in agri-food BC projects: farmers, distributors, companies and consultancies.

This study presents a comprehensive examination of the marketing impacts of BC across various marketing objectives, including product enhancement, brand positioning, consumer relationships, market access and supply chain relationships. It highlights the capability of BC to facilitate data-enabled ecosystems within the agri-food sector, involving supply chain actors and control agencies. Additionally, the study sheds light on the challenges (technological, collaborative, political, financial and organizational) associated with the implementation of BC in the marketing of agri-food products.

This work provides a comprehensive examination of the relevance of BC in the marketing activities of firms, particularly in the context of quality food products. It highlights the main areas of impact and effects and emphasizes the complexity of the phenomenon, which extends beyond its technical issues. Furthermore, it offers a systematic exploration of the challenges associated with the adoption of BC in marketing activities, thus contributing to a broader understanding of the implications of BC adoption in companies' marketing strategies.

The practical implications for this work addresses both GI companies and policy makers. Implications for companies relate to the market benefits associated with the implementation of BC, which allow further strengthening of market positioning, relationships of trust within the supply chain and integration between physical and digital market channels. The study also systematizes the challenges underlying the implementation of BC projects. The implications for policy makers regard the role they have to play in BC projects at regulatory, financial and policy levels.

Studies focusing on BC applications in marketing are still limited and characterized by a very narrow perspective (especially in the food industry). This study contributes to the conceptual design of the marketing applications of BC in the agri-food sector. The value of the study also lies in having framed the marketing impacts of BC in a holistic perspective, along with the technological and non-technological challenges that are related to the integration of BC in marketing strategy and operations.

The prevention of mental health issues at work represents a significant challenge for organizations. The transformation of workplaces whose future promises to be virtual or hybrid can make the anticipation and prevention of these health issues more challenging, considering the potential distance that it may create between employees and their employers. The recent health crisis undermined individual mental health but also highlighted the importance of new technologies which greatly paved the way for the future of workplaces. This paper aims to examine these new technologies, specifically the use of blockchain technologies in organizations to predict and prevent mental health issues at work, specifically psychological distress, in times of crisis, and beyond. It addresses the main challenges and opportunities and presents research avenues as well as insights for human resource management (HRM) practitioners.

This paper is a viewpoint that addresses the use of blockchain technology in the prevention of employees’ mental health at work in times of crisis and beyond. Literature was used to support this viewpoint and highlight the importance of addressing mental health issues at work and preventing their occurrence in the future.

Blockchain is one of the disruptive new technologies that can be used as a strategic tool for organizations to prevent mental health issues among employees in the workplace in times of crisis, and beyond. It facilitates the collaboration between employees, their organization, healthcare and employee assistance program (EPA) providers, as well as insurance companies. In this context, a specific type of blockchain should be used to support this type of collaboration.

Blockchain can generate both opportunities and challenges for the prevention of mental issues at work. It can transform the future of workplaces and help organizations as well as healthcare and EPA providers to anticipate potential employees’ mental health issues in 2019. Organizations need to address their readiness to implement this new technology and the possible reluctance of their employees to use it. This paper presents insights for managers and HRM practitioners.

The studies that have addressed the use of blockchain in organizations to prevent employees’ mental health issues are sparse. This paper is an attempt to address this gap and examine the challenges as well as the opportunities associated with the use of this disruptive new technology that can significantly reshape the future of workplaces.

This work aims to offer a better understanding of the inevitable challenges related to the digital transformation in the family-owned low-tech SMEs, examining the role assumed by familiness in this specific context. To this end, it examines the main factors that influence the adoption and implementation of digital technologies in the family-owned low-tech SMEs.

The study uses a multiple case studies approach, by investigating the case of family-owned low-tech SMEs operating in the winery sector and located in the South-Italy area.

Based on the empirical evidence, findings show how familiness influence the digital transformation of family-owned SMEs and highlight three main factors – individual, process and organization – relevant for the introduction and use of digital technologies in the productive and innovative activities of these organizations.

This paper fills the research gap existing in the literature on the family business. Firstly, it focuses on the digital transformation phenomenon and underlines how familiness, within family-owned low-tech SMEs, can differently influence the firm's innovation processes primarly based on the use of digital technologies oriented to enable business improvements. Then, it identifies diverse dimensions that can act as “barriers” or “facilitators” for adopting advanced digital technologies within the organizations here examined.

Our proposed machine learning model contributes to improving the quality of Hire by providing a more nuanced and comprehensive analysis of candidate attributes. Instead of focusing solely on obvious factors, such as qualifications and experience, our model also considers various dimensions of fit, including person-job fit and person-organization fit. By integrating these dimensions of fit into the model, we can better predict a candidate’s potential contribution to the organization, hence enhancing the Quality of Hire.

Within the scope of the investigation, the competencies of the personnel working in the IT department of one in the largest state banks of the country were used. The entire data collection includes information on 1,850 individual employees as well as 13 different characteristics. For analysis, Python’s “keras” and “seaborn” modules were used. The Gower coefficient was used to determine the distance between different records.

The K-NN method resulted in the formation of five clusters, represented as a scatter plot. The axis illustrates the cohesion that exists between things (employees) that are similar to one another and the separateness that exists between things that have their own individual identities. This shows that the clustering process is effective in improving both the degree of similarity within each cluster and the degree of dissimilarity between clusters.

Employee competencies were evaluated within the scope of the investigation. Additionally, other criteria requested from the employee were not included in the application.

This study will be beneficial for academics, professionals, and researchers in their attempts to overcome the ongoing obstacles and challenges related to the securing the proper talent for an organization. In addition to creating a mechanism to use big data in the form of structured and unstructured data from multiple sources and deriving insights using ML algorithms, it contributes to the debates on the quality of hire in an entire organization. This is done in addition to developing a mechanism for using big data in the form of structured and unstructured data from multiple sources.

This study aims to expose the challenges associated with theory development and its implementation, as it relates to services marketing and hospitality management. The author summarizes the literature, creates a conceptual model and proposes directions to bridge the theory–practice divide.

The author synthesizes and extends the literatures of services marketing, general marketing and hospitality management through a systematic literature review. A conceptual model is created to illustrate the challenges related to theory development and implementation.

Four types of theory challenges and three contemporary practical challenges are presented. The challenges for theory development include a communications gap, difficulties in applying universal theories into idiosyncratic organizations, researchers disconnected from practice and practitioners disconnected from research. Contemporary practical concerns include: human resource constraints, customer behavior and misbehavior and the organizational and business environment.

Managers can bring contemporary business challenges to the forefront by collaborating and writing with scholars. Similarly, keeping abreast of the latest advances in customer service, applying best practices in human resource management, educating and cocreating with customers are among several recommendations proposed to managers and marketers. Internal and external scanning can assure that managers engage in efforts to reduce barriers to implementation and improve services in their organizations.

Despite the decades-long study of customer service, organizations still struggle to deliver exceptional service. This study informs scholars on developing and communicating theories and managers on how to better access and interpret the latest research. In order for research to be successfully generated and implemented, scholars can engage in efforts aimed at joint (researchers and managers) idea generation, publication in multiple outlets, sampling that resembles real life, adoption of contingency theories and reconsidering journal editorial and institutional policies.

The global food industry is faced with the dilemma of finding a balance between food wastage and food shortage. Approximately one-third of food produced globally goes to waste, while about 800 million people suffer from undernourishment. Given this context, the purpose of this study is to investigate the unresolved challenges related to enhancing transparency associated with products of high perishability and low shelf life.

The authors conducted 25 interviews with global agri-food supply chains (AFSCs) experts to ask what impedes the progress of the current technologies, such as blockchain, to enable transparency and traceability (T&T) in AFSCs.

The findings indicate barriers at the individual, firm and supply chain levels. Based on these barriers, the authors propose an interconnected framework to explain technologically-driven T&T and guide on barrier removal from AFSCs. The authors conclude that by applying technology (i.e. blockchain) the authors can resolve the tension of supporting T&T in AFSCs. This can enable the efficient and transparent tracking of goods, reduction of food waste and loss, as well as promotion of the use of recyclable packaging and further sustainable practices and materials, all of which are aligned with a range of UN Sustainable Development Goals (2, 8, 10 and 12). Moreover, the authors see that some factors are interrelated. Based on these factors, the authors build an interconnected framework to guide on barrier removal from AFSCs. Managers in AFSC would find the findings especially relevant.

Drawing on industrial network theory and signalling theory, the authors propose an interconnected framework for explaining barriers (challenges) and potential solutions (opportunities) to T&T in AFSCs. This framework is developed by examining the interconnections of barriers at micro, meso and macro levels and applying signalling theory to explain how solutions address these barriers. The specific contributions of this study are: the list of barriers that impede the implementation of technological solutions for T&T in AFSCs; and a three-stage framework that explains how to remove the barriers for T&T. The study is limited by the focus on blockchain, which calls for future research once the next decentralised technology becomes available.

Artificial intelligence (AI) has sparked interest in various areas, including marketing. However, this exhilaration is being tempered by growing concerns about the moral and legal implications of using AI in marketing. Although previous research has revealed various ethical and legal issues, such as algorithmic discrimination and data privacy, there are no definitive answers. This paper aims to fill this gap by investigating AI’s ethical and legal concerns in marketing and suggesting feasible solutions.

The paper synthesises information from academic articles, industry reports, case studies and legal documents through a thematic literature review. A qualitative analysis approach categorises and interprets ethical and legal challenges and proposes potential solutions.

The findings of this paper raise concerns about ethical and legal challenges related to AI in the marketing area. Ethical concerns related to discrimination, bias, manipulation, job displacement, absence of social interaction, cybersecurity, unintended consequences, environmental impact, privacy and legal issues such as consumer security, responsibility, liability, brand protection, competition law, agreements, data protection, consumer protection and intellectual property rights are discussed in the paper, and their potential solutions are discussed.

Notwithstanding the interesting insights gathered from this investigation of the ethical and legal consequences of AI in marketing, it is important to recognise the limits of this research. Initially, the focus of this study is confined to a review of the most important ethical and legal issues pertaining to AI in marketing. Additional possible repercussions, such as those associated with intellectual property, contracts and licencing, should be investigated more deeply in future studies. Despite the fact that this study gives various answers and best practices for tackling the stated ethical and legal concerns, the viability and efficacy of these solutions may differ depending on the context and industry. Thus, more research and case studies are required to evaluate the applicability and efficacy of these solutions in other circumstances. This research is mostly based on a literature review and may not represent the experiences or opinions of all stakeholders engaged in AI-powered marketing. Further study might involve interviews or surveys with marketing professionals, customers and other key stakeholders to offer a full knowledge of the practical difficulties and solutions. Because of the rapid speed of technical progress, AI’s ethical and regulatory ramifications in marketing are continually increasing. Consequently, this work should be a springboard for more research and continuing conversations on this subject.

This study’s findings have several practical implications for marketing professionals. Emphasising openness and explainability: Marketing professionals should prioritise transparency in their use of AI, ensuring that customers are fully informed about data collection and utilisation for targeted advertising. By promoting openness and explainability, marketers can foster customer trust and avoid the negative consequences of a lack of transparency. Establishing ethical guidelines: Marketing professionals need to develop ethical rules for the creation and implementation of AI-powered marketing strategies. Adhering to ethical principles ensures compliance with legal norms and aligns with the organisation’s values and ideals. Investing in bias detection tools and privacy-enhancing technology: To mitigate risks associated with AI in marketing, marketers should allocate resources to develop and implement bias detection tools and privacy-enhancing technology. These tools can identify and address biases in AI algorithms, safeguard consumer privacy and extract valuable insights from consumer data.

This study’s social implications emphasise the need for a comprehensive approach to address the ethical and legal challenges of AI in marketing. This includes adopting a responsible innovation framework, promoting ethical leadership, using ethical decision-making frameworks and conducting multidisciplinary research. By incorporating these approaches, marketers can navigate the complexities of AI in marketing responsibly, foster an ethical organisational culture, make informed ethical decisions and develop effective solutions. Such practices promote public trust, ensure equitable distribution of benefits and risk, and mitigate potential negative social consequences associated with AI in marketing.

To the best of the authors’ knowledge, this paper is among the first to explore potential solutions comprehensively. This paper provides a nuanced understanding of the challenges by using a multidisciplinary framework and synthesising various sources. It contributes valuable insights for academia and industry.

Involving employees in making management decisions is a powerful way to enhance organizational performance. However, employee involvement (EI) might exacerbate psychosocial stress at work. This paper aims to investigate this issue, illuminating the implications of EI on work-related stress.

Secondary data were collected from the third wave of the European Survey of Enterprises on New and Emerging Risks. A conditional process analysis based on ordinary least square regression and bootstrap sampling was accomplished to obtain evidence of the implications of EI on psychosocial risks (PSR) at work, taking into consideration the mediating role of organizational health promotion initiatives (HPI).

EI increased the sources of psychosocial stress at work, adding to individual job demands. Involving employees was positively related to a greater organizational concern for HPI, which, in turn, lessened psychosocial strain.

Although it contributes to organizational performance, EI propels work-related stress, which undermines individual and collective wellbeing. Involvement practices should be coupled with tailored HPI to address the PSR at work triggered by involvement, empowering people to cope with strain.

Scientific literature emphasizes the positive implications of EI on organizational performance, but little is known about its side effects on work-related stress. The paper provides original insights into this topic, arguing that HPI are necessitated to address the drawback of involvement on work-related stress.