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The purpose of this study is to investigate the structure and dynamics of academic articles relating to public procurement (PP) in the period 1984–2022 (up to May). The researchers also intend to analyse how this knowledge domain has grown since 1984.

A bibliometric analysis was carried out to examine the existing state of PP research. Based on 640 journal articles indexed in the Scopus database and written by 1,247 authors over nearly four decades, a bibliometric analysis was conducted to reveal the intellectual structure of academic works pertaining to PP.

Findings reveal that PP research from Scopus has significantly increased in the past decade. Major journals publishing PP research are International Journal of Procurement Management, Journal of Cleaner Production, Journal of Purchasing and Supply Management and Public Money and Management. Results also indicate that authors’ cooperation network is fragmented, showing limited collaboration among PP researchers. In addition, results suggest that the institutional collaboration network in PP research mirrors what is commonly referred to as the North–South divide, signifying insufficient research collaboration between developed and developing countries’ institutions. According to the co-occurrence keyword network and topic modelling, PP revolves around five main themes, including innovation, corruption, sustainable and green PP, PP contracts and small and medium enterprises. Based on these results, several directions for future research are suggested.

This paper provides an increased understanding of the entire PP field and the potential research directions.

To the best of the authors’ knowledge, this study is the first-ever application of bibliometric techniques and topic modelling to examine the development of PP research since 1984 based on scholarly publications extracted from the Scopus database.

The literature on public procurement (PP) has increased significantly in recent years, and, to date, several reviews have been conducted to study this relevant subject. Nevertheless, a bibliometric analysis of the PP knowledge domain is still missing. To fill this knowledge gap, a bibliometric review is carried out to investigate the current state of PP research.

A total of 640 journal articles are selected from the Scopus database for the final analysis. The performance indicators of the literature are identified and explained through bibliometric analysis. Furthermore, the conceptual and intellectual structures are studied through a keyword co-occurrence network and bibliographic coupling.

The results of the review indicate that PP research has increased significantly in recent years. The top ten most productive journals, countries, authors and academic institutions are identified. The findings from the keyword co-occurrence network reveal six main research themes including innovation, corruption and green public procurement (GPP). By applying bibliographic coupling, the focus of PP research revolves around seven thematic areas: GPP, corruption, the role of small and medium-sized enterprises (SMEs) in PP, electronic PP, innovation, labour standards and service acquisition. The research potential of each thematic area is evaluated using a model based on maturity and recent attention (RA).

To the best of the authors' knowledge, this is the first study to successfully organise, synthesise and quantitatively analyse the development of the PP domain amongst a large number of publications on a large time scale.

Drawing on a user-centred design perspective, the purpose of this paper is to (i) provide an overview of three contextual user research methods, namely, spatial walkthroughs, experience curve mapping and card sorting, (ii) exemplify their applications in different case studies and (iii) compare the methods according to their contributions for the study of users’ workplace experiences. Previous workplace studies with qualitative approaches mainly rely on methods such as interviews and observations. Although these methods provide rich data, the understanding of office users, their use situations and finding more fitting workplace designs can benefit from deeper user experience insights.

Three methods and their variants were tested in studies of user experience in flexible offices: spatial walkthroughs, experience curve mapping and card sorting. The methods were tested during workshops and interviews in four case studies with a total of 114 participants.

Spatial walkthroughs were more immersive and provided the most insights on the actual context with respect to spatial design qualities, while experience curve mapping enabled understanding the temporal aspects of the user experience and card sorting enabled exploring user experiences with respect to predetermined spatial qualities and contextual aspects.

Spatial walkthroughs, experience curve mapping and card sorting methods have not previously been applied in workplace studies. They facilitate dialogue, participation and user involvement and provide insights for making evidence-based recommendations for designing or redesigning office environments that fit users’ needs and preferences.

Buying companies in the food industry increasingly recognize the need to cultivate relationships with their suppliers. Social capital and power are important to understand buyer–supplier relationships. Maintaining these relationships appears highly dependent on the degree of information sharing.

The study investigates how power and social capital dimensions are related to information sharing. A survey of first-tier suppliers in the Dutch meat processing industry was carried out. The data from 82 suppliers was analyzed using partial least squares.

It appears that expert power contributes to the cognitive and structural social capital. In contrast, coercive power showed no influence at all. Cognitive and structural social capital dimensions have a direct link to relational social capital, which significantly improves buyer–supplier information sharing in the food industry.

Buying companies can encourage supplier information sharing by building up their own expertise and cultivating social relationships. They should refrain from strong-handed practices.

Companies in the food and food processing industry are dependent on effective information exchange for their very survival. This study investigates the role of power and social capital in making such exchange possible and sustainable.

Workplace silence impedes productivity, job satisfaction and retention, key issues for the hospital workforce worldwide. It can have a negative effect on patient outcomes and safety and human resources in healthcare organisations. This study aims to examine factors that influence workplace silence among hospital doctors in Ireland.

A national, cross-sectional, online survey of hospital doctors in Ireland was conducted in October–November 2019; 1,070 hospital doctors responded. This paper focuses on responses to the question “If you had concerns about your working conditions, would you raise them?”. In total, 227 hospital doctor respondents (25%) stated that they would not raise concerns about their working conditions. Qualitative thematic analysis was carried out on free-text responses to explore why these doctors choose to opt for silence regarding their working conditions.

Reputational risk, lack of energy and time, a perceived inability to effect change and cultural norms all discourage doctors from raising concerns about working conditions. Apathy arose as change to working conditions was perceived as highly unlikely. In turn, this had scope to lead to neglect and exit. Voice was seen as risky for some respondents, who feared that complaining could damage their career prospects and workplace relationships.

This study highlights the systemic, cultural and practical issues that pressure hospital doctors in Ireland to opt for silence around working conditions. It adds to the literature on workplace silence and voice within the medical profession and provides a framework for comparative analysis of doctors' silence and voice in other settings.

Combining the goal-setting and job demands-resources (JD-R) theories, we examine how two project resources, collaborative project leadership and financial project resources, enhance high project performance in community-academic health partnerships.

With a sequential explanatory mixed-method research design, data were collected through a survey (N = 318) and semi-structured interviews (N = 21). A hypothesised three-path mediation model was tested using structural equation modelling with bootstrapping. Qualitative data were examined using thematic analysis.

Project workers’ hope, goal-commitment and -stress: (1) fully mediate the hypothesised relationship between highly collaborative project leadership and high project performance; and (2) partially mediate the relationship between financial project resources and high project performance. The qualitative data corroborate and deepen these findings, revealing the crucial role of hope as a cognitive-motivational facilitator in project workers’ ability to cope with challenges.

Project leaders should promote project workers’ goal commitment, reduce their goal stress and boost project performance by securing financial project resources or reinforcing workers’ hope, e.g. by fostering collaborative project leadership.

The findings contribute to the project management and JD-R literature by considering the joint effects of project workers’ hope and two commonly studied project resources (collaborative project leadership and financial project resources) on high project performance. Moreover, we demonstrate the importance of the goal-setting and JD-R theories for understanding complex health-promotion projects connecting academic to community work.

The purpose of this paper is to provide a historical and current accounting of the state of refugee education in both the USA and Sweden. The growing diaspora of people around the globe implores educators to utilize effective models and strategies to meet the needs of refugees, as well as to advocate policies that aid in this utilization. Sweden has the highest rate of refugee acceptance in Europe, and the USA has the greatest number of immigrants in the west.

A review of the literature formatted to provide the reader with a historical accounting of the states of refugee education in both host nations, as well as the current states. Strategies and promising policies are introduced based on the literature and the author’s own research conducted in Sweden.

The paper addresses the history and present situations of two host nations, Sweden and the USA, who have differing education systems and histories of immigration. Concerns and two possible solutions offered were to increase opportunities for interaction between native and refugee populations; and bolster funding for the education of refugee school-age children and adolescents, and adults so that effective strategies and environment described in the literature can be put into place by effectively trained educators. These solutions could improve the cultural competence among all peoples in both nations, better enabling the two countries to provide economically and socially sustainable environments for all of their inhabitants.

The examination of these two nations’ education of refugees may shed light on the worldwide challenges of refugees and mass immigration.

The solutions offered in the paper could improve the cultural competence among all peoples in both nations, better enabling the two countries to provide economically and socially sustainable environments for all of their inhabitants.

A comparison of US refugee education with that of a high-volume European host nation does not yet appear to have been published.

The purpose of this paper is to review state-of-the-art literature on product/brand positioning to re-examine the positioning concept and developing a more comprehensive definition from a theoretical viewpoint.

A systematic review of positioning was conducted. The review conformed to a rigorous set of core principles: it was systematic (organized according to a method designed to address the review questions), transparent (explicitly stated), reproducible and updatable and synthesized (summarized the evidence relating to the review question).

The literature review reveals that there is lack of coherent definition for positioning, and there is no mutual agreement among marketing scholars and practitioners about the exact meaning of the concept. Therefore, comprehensive definition of positioning encompassing the five underlying positioning perspectives (competition; empty slot/mind; consumers’ perception, differentiation and competitive advantage) is suggested.

This paper will be useful for academicians to analyze the current nature of academic research in this area and will provide an added advantage to managers to design and implement positioning strategies for their product/brands that will allow their organizations to gain competitive advantage. This study acknowledges limitations with respect to its exclusive search criteria, which might affect its generalizability.

Position and positioning is of relevance in society in broad terms, e.g. in sports, politics and culture. Positioning strategy is discussed and implemented in different industries (business-to-business and consumer), for all kinds of brands (including, for instance, corporate brands) and for “brands” in the very widest sense (such as places or people).

This is the first systematic review of positioning that provides a detailed understanding of the current state of positioning research on a single platform and also draws a comprehensive positioning conceptualization.

The purpose of this study is to introduce new tools to develop a more precise and focused bibliometric analysis on the field of digitalization in healthcare management. Furthermore, this study aims to provide an overview of the existing resources in healthcare management and education and other developing interdisciplinary fields.

This work uses bibliometric analysis to conduct a comprehensive review to map the use of the unified theory of acceptance and use of technology (UTAUT) and the unified theory of acceptance and use of technology 2 (UTAUT2) research models in healthcare academic studies. Bibliometric studies are considered an important tool to evaluate research studies and to gain a comprehensive view of the state of the art.

Although UTAUT dates to 2003, our bibliometric analysis reveals that only since 2016 has the model, together with UTAUT2 (2012), had relevant application in the literature. Nonetheless, studies have shown that UTAUT and UTAUT2 are particularly suitable for understanding the reasons that underlie the adoption and non-adoption choices of eHealth services. Further, this study highlights the lack of a multidisciplinary approach in the implementation of eHealth services. Equally significant is the fact that many studies have focused on the acceptance and the adoption of eHealth services by end users, whereas very few have focused on the level of acceptance of healthcare professionals.

To the best of the authors’ knowledge, this is the first study to conduct a bibliometric analysis of technology acceptance and adoption by using advanced tools that were conceived specifically for this purpose. In addition, the examination was not limited to a certain era and aimed to give a worldwide overview of eHealth service acceptance and adoption.

Accounting information systems are mainly rule-based, and data are usually available and well-structured. However, many accounting systems are yet to catch up with current technological developments. Thus, artificial intelligence (AI) in financial accounting is often applied only in pilot projects. Using AI-based forecasts in accounting enables proactive management and detailed analysis. However, thus far, there is little knowledge about which prediction models have already been evaluated for accounting problems. Given this lack of research, our study aims to summarize existing findings on how AI is used for forecasting purposes in financial accounting. Therefore, the authors aim to provide a comprehensive overview and agenda for future researchers to gain more generalizable knowledge.

The authors identify existing research on AI-based forecasting in financial accounting by conducting a systematic literature review. For this purpose, the authors used Scopus and Web of Science as scientific databases. The data collection resulted in a final sample size of 47 studies. These studies were analyzed regarding their forecasting purpose, sample size, period and applied machine learning algorithms.

The authors identified three application areas and presented details regarding the accuracy and AI methods used. Our findings show that sociotechnical and generalizable knowledge is still missing. Therefore, the authors also develop an open research agenda that future researchers can address to enable the more frequent and efficient use of AI-based forecasts in financial accounting.

Owing to the rapid development of AI algorithms, our results can only provide an overview of the current state of research. Therefore, it is likely that new AI algorithms will be applied, which have not yet been covered in existing research. However, interested researchers can use our findings and future research agenda to develop this field further.

Given the high relevance of AI in financial accounting, our results have several implications and potential benefits for practitioners. First, the authors provide an overview of AI algorithms used in different accounting use cases. Based on this overview, companies can evaluate the AI algorithms that are most suitable for their practical needs. Second, practitioners can use our results as a benchmark of what prediction accuracy is achievable and should strive for. Finally, our study identified several blind spots in the research, such as ensuring employee acceptance of machine learning algorithms in companies. However, companies should consider this to implement AI in financial accounting successfully.

To the best of our knowledge, no study has yet been conducted that provided a comprehensive overview of AI-based forecasting in financial accounting. Given the high potential of AI in accounting, the authors aimed to bridge this research gap. Moreover, our cross-application view provides general insights into the superiority of specific algorithms.