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This research examines how responsible deployment of ChatGPT in the UAE’s government sector, guided by New Public Management principles, can enhance customer journeys by integrating services across government bodies. Through semi-structured interviews with UAE government officers, the study investigates this approach’s benefits, challenges, and applications for achieving efficient and integrated public service delivery.

This research adopts a qualitative approach, purposive sampling strategy, and semi-structured interviews to explore the subjective viewpoints of 20 high-level UAE government authorities. The thematic analysis uncovers ChatGPT’s benefits, challenges, and applications, aligning with New Public Management principles.

Thematic analysis reveals four themes: Benefits and Applications of ChatGPT, Challenges, Strategies to Overcome Challenges, and Steps for Customer Journey Enhancement through ChatGPT.

The analysis is based on participant responses provided during the interviews, which may be subject to biases or incomplete information. Secondly, the study focuses solely on the provided applications and participant responses, limiting the generalizability of the conclusions to other contexts.

The implementation of ChatGPT in the government sector has practical implications for transforming its operations and enhancing communication, efficiency, decision-making, and service offerings: citizen engagement, streamlined processes, and informed governance.

This study uniquely examines ChatGPT’s role in government, offering insights into communication, efficiency, decision-making, and service offerings. Identifying hurdles enriches understanding of ChatGPT’s practical integration in government.

Being acquainted with both lean and action learning in theory and in practice, this study finds that the theoretical complementarity of these two research streams has traditionally been underexploited. In this conceptual paper, this study aims to advance the theoretical understanding of lean by exploring the complementarity of lean thinking and action learning leading to a proposed integrated theory of these two research streams. Target audience is the operations management research community.

By deliberately adopting a process of theorising, this paper explores, reflects upon and combines individual experiences of researching, teaching and engaging in lean and action learning as operations management scholars.

Having taken a gemba walk through the literature and practices of lean and action learning, this study views and notices a systematic and complementary relationship between the two domains. The overlapping theoretical and practical complementarities of lean and action learning suggest that these two research streams are ripe for synthesis into an integrated theory. This finding provides an opportunity to (1) progress towards an integrative design of interventions leading to more sustainable lean system adoptions and (2) add new depth to our theoretical explanation of the success and failures of lean system adoptions.

This paper contributes an original integrated theory perspective on lean and action learning.

The purpose of this article is to aid conceptualization of social well-being at work by identifying its components in a contemporary office context, so adequate measures can be developed to monitor social well-being and to assess the impact of interventions in the workplace.

This study used existing interview data from recent post-occupancy evaluations of two large activity-based flexible offices in the Dutch public sector. Data-driven concept mapping of 182 different employees' statements on social aspects of well-being was used to find communalities in their perceptions.

From the data 14 key concepts emerged referring to employees' social needs, reactions to (anti-)social behaviour of others and perceived social affordances of the work environment. Contrary to established theory, social well-being appeared to be a context-bound phenomenon, including components of both short-term hedonic and long-term eudaimonic well-being.

The findings serve as an inductive source for the further development of adequate measures of social well-being at work. Limitations concern the specific (cultural) setting of the cases and the use of existing data.

Preliminary suggestions for fostering social well-being include change management, participatory design, being alert of the identified risks of activity-based offices and supporting privacy regulation, identity marking and a sense of community, as well as a diversity of informal face-to-face interactions balanced with quiet spaces.

This article contributes to the conceptualization of social well-being in contemporary offices by discussing established social well-being theory and analysing real-world data, using a method novel to management research.

The aim of this paper was to analyse the creative competence of students before and after a micro-learning experience carried out in a collaborative online international learning (COIL) environment between Spanish and Mexican university students in the field of education and entrepreneurship.

A single-group quasi-experimental design with pre-test and post-test measures was adopted. The composition of the group was natural and included a total of 57 students who participated in the COIL experience. The duration was three weeks, where students from both countries were linked together in the development of a micro-learning project. The creativity self-efficacy scale was used as a data collection instrument.

The micro-learning activities through COIL developed the creative competence of the participating students. In particular, the groups from both universities improved their scores on the creative competence in the post-test compared to the pre-test measure.

The limitations of this study were linked to the sample loss of some cases, as some students did not complete the post-test measure. The main implication of the study was to demonstrate that COIL experiences are suitable for developing certain skills in students, such as creative competence or co-operative work.

COIL experiences break down the barriers of physical space and give students an active role, allowing them to fully develop competences and offering an intercultural perspective, which encourages open-mindedness and understanding of the world.

This study aims to understand and explain factors that influence how, when and under which conditions local governments adopt digital technologies for citizen collaboration. It discusses what these findings mean for city digital twin adoption.

This research uses the systematic literature review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) process to collect and evaluate evidence needed to answer the research questions. It uses the technology–organisation–environment (TOE) framework and proposes an additional dimension: “stakeholders” as the analytical framework.

Critical influential factors identified include the technology dimension: security and privacy; organisation dimension: top management support; environment dimension: political influence; and stakeholders’ dimension: technological experience.

This research extends the TOE framework and comprehensively analyses those factors which relate to citizens but significantly impact local government’s decision to adopt digital tools for collaboration purposes. This research posits that in the context of local government technology adoption for collaboration, both the organisation and stakeholders’ dimensions are critical.

This research contributes to the government-citizen discourse and provides a constructive understanding of technological transformation in collaborative planning. The findings are helpful for local governments, researchers and geospatial industries as they offer a critical understanding of digital technology adoption, particularly city digital twins, for collaborative planning.

This study extends the TOE framework to include aspects relating to citizens. It provides a nuanced understanding of the influential factors and intricacies of technology adoption by local governments for citizen collaboration. It also discusses relevant issues of city digital twins’ adoption by local governments for citizen participation.

Large supermarket chains are adopting customer-service robots to improve service delivery in physical stores. Successful deployment of these robots depends on shoppers' willingness to interact with them, requiring an understanding of influencing factors. This study, grounded in the Cognitive-Affective-Normative (CAN) theory, seeks to systematically explore the factors influencing Gen Z shoppers' willingness to interact with customer-service robots.

A hybrid approach combining Structural Equation Modeling (SEM) and Necessary Condition Analysis (NCA) was employed to analyze survey data collected from 945 Gen Zs in the Czech Republic.

The results from SEM highlight significant cognitive, normative, and affective factors that influence the intention of Gen Z shoppers to interact with a customer-service robot. Specifically, cognitive factors such as effort and performance expectancy, along with normative factors like subjective norms, emerged as critical determinants. Furthermore, affective factors such as technology anxiety and positive emotions significantly influence users' readiness to use customer-service robots for service requests. The study also underscores that positive emotions, effort expectancy, performance expectancy, and subjective norms are vital prerequisites for interacting with customer-service robots.

The originality of this work lies in its two significant contributions to the burgeoning field of SRs in retail literature. First, it extends the CAN theory to the context of SRs among Gen Z shoppers in Czechia, thereby enriching the existing literature on SRs in retail. Second, by employing a hybrid analytical approach, our research offers both empirical and methodological advancements, providing rigorous insights crucial for enhancing the understanding of the pivotal factors influencing shoppers' interactions with SRs in physical store environments.