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This paper aims to identify patterns in the career intentions of PhD students and explore factors influencing these patterns.

Based on data from the Nature 2019 global PhD survey, the paper uses latent class analysis to identify the number and types of patterns in PhD students’ career intentions. Multinomial logistic regressions are used to analyse the influential factors, and means comparisons are used to describe differences in study experiences among career intention patterns.

The paper reveals distinct career intentions among PhD students: Pure Academic Enthusiasts (25.60%), Research-Driven Flexibles (28.64%), Neutralists to Non-research (16.27%), Uncertain Career Explorers (13.63%) and Non-academia Pursuers (15.86%). Research-Driven Flexibles, inclusive of researching roles beyond academia, demonstrate similar engagement and academic skills but have more transferable skills compared to Pure Academic Enthusiasts. Uncertain Career Explorers express positivity but show relatively lower engagement and academic skills. Non-academia Pursuers spend above-average time on learning but have the weakest relationship with supervisors, participation in academic activities, campus environmental support and transferable skills. Older doctoral students with dual degrees are less likely to be Uncertain Career Explorers, while those motivated by academic interests are more likely to be Research-Driven Flexibles or Pure Academic Enthusiasts.

This study provides a more accurate multi-dimensional perspective of PhD students’ career intentions, extending previous research that focused solely on the type of work PhD students sought or the sector in which they desired to work.

Clean and sustainable energy becomes an alternative to differentiate electricity suppliers, but it is necessary to have a better understanding of their behaviour to achieve green customer loyalty. This paper aims to deploy a behavioural model that helps explain loyalty of customers towards green electricity providers by including a series of antecedents such as trust, satisfaction, perceived environmental impact, propensity to trust and perceived risk.

The paper deploys a behavioural model that it is tested through structural equation modelling to a sample of 231 German electricity consumers with green contracts. The data analysis included two steps: first, the development and validation of the scales used to measure the constructs proposed in the model, and second, the model test.

Results demonstrate that trust and satisfaction directly influence loyalty, while satisfaction and the other variables included in the model have an indirect relationship with loyalty mediated by trust and satisfaction. As green characteristics of electricity are difficult to evaluate, managers should demonstrate in their communication the environmental effects of their activities while emphasising their capacity to attend to supply requirements for building long-term customer relationships.

The paper is focused on the understanding of those consumers who have signed a green electricity contract and the antecedents associated to their loyalty. The behavioural model helps identify how managers should apply marketing strategies to foster green consumers loyalty.

The purpose of this study is to identify seminal research works on distance and online learning that have had significant impact on the domain.

The authors used the SCOPUS database for this study as the data source, and a well-defined search strategy retrieved the items for analysis. First, the authors identified the h-index (n = 207) of the discipline to determine the threshold for listing the top works. The authors critically analysed these classic publications using several bibliometric parameters to present the analysis. To understand the primary focus of the classic research works, the authors also carried out a keyword cluster analysis using VOSviewer.

While the USA produced maximum classic research, authors from Canada have maximum research visibility in terms of citations (n = 474.06). Canada also received the highest value of RCI (1.30), followed by Taiwan and Australia. The majority of the classics are published in 67 scientific journals. Of these, Computers and Education published the highest number with a quarter of the total citations (n = 19,403). Although e-learning was the nucleus of the research theme, the authors observed that students, learning systems, online learning, blended learning, learning management systems and computer-aided instructions dominated their influence in the research cluster.

To the best of the authors’ knowledge, this is the first of its kind work in the field of distance and online learning. Findings of this study would be useful to faculty, researchers and students in the discipline to focus on the seminal works and understand their implications better in the context of the growing significance of the discipline.

Companies increasingly leverage artificial intelligence (AI) to enhance human performance, particularly in e-commerce. However, the effectiveness of AI augmentation remains controversial. This study investigates whether, how and why AI enhances human agents’ sales through a randomized field experiment.

This study conducts a two-by-two factorial randomized field experiment (N = 1,090) to investigate the effects of AI augmentation on sales. The experiment compares sales outcomes handled solely by human agents with those augmented by AI, while also examining the moderating effect of agents’ experience levels and the underlying mechanisms behind agents’ responses.

The results reveal that AI augmentation leads to a significant 5.46% increase in sales. Notably, the impact of AI augmentation varies based on agents’ experience levels, with inexperienced agents benefiting nearly six times more than their experienced counterparts. Mediation analysis shows that AI augmentation improves response timeliness, accuracy and sentiment, thereby boosting sales.

This study highlights the role of AI augmentation in human–AI collaboration, demonstrates the varying impacts of AI augmentation based on agents’ experience levels and offers insights for organizations on how to regulate AI augmentation to enhance agent responses and drive sales.

Citizens’ attitudes toward police (ATP) have declined dramatically in recent years, prompting many agencies to implement police–community relations programs designed to build back the community’s trust. Such programs are often time-intensive, requiring many hours to complete. The current study examined the impact of a brief (approximately 15 minutes) community relations intervention on citizens’ ATP and police use of force (UoF).

A sample of 104 citizens completed three UoF training exercises (i.e., the intervention) inside a video simulator at a municipal police department. Immediately before and after the intervention, citizens’ ATP and police UoF were recorded.

Despite having relatively favorable impressions of police at baseline, many attitudes grew to be more favorable following the intervention, including perceptions of job difficulty and the belief that police are treated too harshly by the media. While global impressions of the police did not change, citizens came to believe that greater UoF levels were warranted in specific types of encounters, such as when a suspect tries to strike an officer.

These findings suggest that providing citizens with an opportunity to experience UoF decision-making first-hand can positively impact certain ATP and police work. Law enforcement agencies may find that such brief, immersive interventions are useful tools for improving police–community relations.

The paper proposes a place-space duality, rather than a dualism, for accounting research.

The discussion is informed by the literature in human geography, which, while developing the concept of space, has made an important distinction between abstract space and place as a site of experiential learning and memory.

The lack of a concept of place is a serious omission in the accounting literature and perpetuates an abstract sense of space, which can restrict the scope of accounting research.

The paper calls for further research to study accounting in place and to explore both the collective and individual senses of place, as well as conscious and unconscious place associations. We recognise that there is limited prior accounting research on this topic and that there are challenges in conducting such interdisciplinary research, especially as there is a lack of common ground between research in human geography and accounting and little integration of the two literatures.

The paper proposes an accounting research agenda based on a place-space duality, which reflects the strength of people-place relationships, including place identities, place attachment and place dependence.

The paper provides a critique of the conceptualisation of space in accounting research, identifies place-space as a duality (rather than a dualism) and suggests a novel distinction between studying accounting in context and in place.

This study examines why long-term relationships between expert users and smart voice assistants (SVAs) develop. It postulates that the five dimensions of experience (i.e. sensory, affective, intellectual, behavioural and relational) generate feelings of love for SVAs. The formation of love is examined considering three components: passion, intimacy and commitment. These feelings encourage users to continue employing and to generate long-term relationships with SVAs.

Data from a survey of 403 USA expert users of SVAs provide the input for structural equation modelling.

The results show that three dimensions of experience influence users’ passion towards SVAs: affective, intellectual and behavioural. Moreover, passion can convert the effect of users’ experiences into intimacy and commitment. Finally, intimacy and commitment increase users’ intentions to continue using SVAs.

The findings obtained make three original contributions. First, this study is the first to analyse expert users of SVAs and the post-technology adoption stage. Therefore, it introduces a new case of relational marketing in smart technologies. Second, this study contributes by applying a new theoretical perspective that evaluates the importance of users’ experiences with SVAs. Third, it takes an interpersonal approach to explore user-SVA interactions, revealing that users can develop human-like love feelings for SVAs.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-10-2022-0570

This study illustrates the conceptual framework that expands the knowledge of the fundamental components that describe how AI-driven servant leadership (SEL) influences the job resources (JR), work engagement (WE) and job performance (JP) of tourism and hospitality employees.

The empirical study was conducted on a sample of 953 international tourism and hospitality employees who were selected via a purposive and snowball sampling approach in a cross-sectional survey. The analysis was performed using a partial least square-structural equation modeling.

The results of this study confirmed the positive impact of AI-driven SEL on employee JR with the boundary conditions of AI-driven SEL.

This study finding assists tourism and hospitality practitioners in understanding that in the near future, AI will have a major effect on the nature of work, including the impact on leadership styles. Hence, AI-driven SEL holds both positive (through direct impact on JR) and negative (via boundary conditions) impacts on employees’ JP and ultimately organizational success. Accordingly, managers should employ AI-driven SEL to increase employees’ JR, and once employees achieve high WE, they should constrict AI-driven SEL boundary conditions and their influence between JR and WE and WE and JP.

This study offers a novel and original conceptual model that advances AI-driven social theory, SEL theory and job demands-resources (JD-R) theory by synthesizing, applying and generalizing gained knowledge in a methodical way.

Business process management (BPM), as a pillar of information systems (IS) research, has become more complex with the advent of new technologies, emphasizing the need for moral and ethical perspectives. To foster moral behavior and responsible action, including ethical values in IT systems and processes can be a solid option. By incorporating a socio-technical perspective, we are able to analyze the various aspects of BPM and organizational processes and the incorporated values. We find an overall acknowledgment of the importance of values and ethics in BPM.

This publication explores ethical values within BPM through a systematic literature review (SLR). The study aims to identify the ethical dimensions inherent in BPM and their practical implications in process management and task execution. The methodological approach adopted is a SLR (Boell and Cecez-Kecmanovic, 2015), adapting the PRISMA guidelines (Page et al., 2021) to identify 82 articles from 21 top IS journals suggested by Lowry et al. (2013).

A descriptive framework is developed to explain the use and application of ethical values within business processes. This framework enables practitioners and researchers to categorize and understand the various ethical considerations involved in BPM. It provides a structured approach highlighting the interrelation between process perspectives and ethical values, demonstrating how different BPM approaches may have varying ethical implications. We compare past and future research in business processes, identifying areas for further investigation and theoretical development. A historical analysis of values and literature also helps contextualize contemporary discussions on ethics in BPM, shedding light on the evolution of ethical considerations within this domain.

Our study contributes to a more nuanced understanding of BPM, highlighting the importance of considering ethical values and socio-technical perspectives in designing and implementing business processes. These findings contribute to understanding the values associated with different types of processes and their employment and highlight potential areas for future research. Our study provides ethics-oriented research in IS with novel insights by examining BPM from an ethical value perspective. We contribute to the BPM literature by examining which values are applied in which process types from which perspective. In addition, our research suggestions provide food for thought for both research streams.

The study aims to outline and hierarchically rank the key enablers that support the digital nomad lifestyle, identifying their interrelationships and contextual importance within the ecosystem.

The study utilizes a multi-method approach encompassing modified total interpretive structural modeling (m-TISM) and matrice d’impacts croisés multiplication appliquée à un classement (MICMAC) analysis, complemented by a one-tailed t-test to validate the model.

The research identified nine crucial enablers that facilitate the digital nomad lifestyle. The study effectively maps out their hierarchical relationships and the dynamics of their interactions.

While the study offers significant insights, it relies heavily on expert opinions, which may introduce subjective bias. Additionally, the dynamic nature of digital nomadism might limit the long-term applicability of the findings.

The findings have substantial implications for policymakers and corporate leaders. By understanding the key enablers and their interactions, stakeholders can develop targeted strategies that enhance support for digital nomads, potentially increasing organizational flexibility and global reach.

This study contributes original insights by applying an advanced m-TISM approach to the digital nomad sector, a topic of growing relevance in post-pandemic work arrangements. It provides a comprehensive framework that integrates various theoretical and practical perspectives, which were fragmented previously.