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The analysis of current research trends in a specific research topic provides a starting point for future research. As a means to represent the conceptual structure of this field of study, this paper aims to analyse how the relationship between the research topics of corporate entrepreneurship and the circular economy has been studied in the literature.

The methodology employed herein is the bibliometric technique of co-words. Specifically, 138 documents were analysed, obtained from the Web of Science (WOS) database and published between 2003 and 2022.

Through co-word analysis, this study maps the most relevant themes in the research between corporate entrepreneurship and the circular economy. The strategy map reveals diverse thematic approaches, including organisational learning and the role of managers.

This study combines corporate entrepreneurship and the circular economy and provides new insights through bibliometric co-word analysis. By connecting these two topics, it assists researchers, practitioners and policymakers in advancing knowledge and practice in the related literature.

若我們就一個研究專題去分析其目前的研究趨勢，我們會得到今後研究的起始點。作為是表達這研究領域的概念結構的工具，本文擬分析在文獻裡，研究人員是如何探討關於公司企業家精神的研究課題與循環經濟之間的關係的呢?

研究設計/方法/理念:研究人員以文獻計量研究法分析共現詞，並以此進行研究。具體來說，研究人員從 Web of Science 資料庫取得138份於2003年與2022年期間出版的文檔，繼而進行分析。

研究結果:研究人員透過分析共現詞，為探討公司企業家精神與循環經濟間關係的研究裡最相關的主題繪製了地圖。這策略性地圖揭示了包括組織學習和主管角色的各種專題方法。

研究的原創性:本研究結合公司企業家精神和循環經濟，並透過文獻計量共現詞分析法，給學者提供新觀點。由於本研究把上述兩個課題結合起來，學者、從業人員和政策制定者均可豐富其對有關文獻的認識和相關的慣常做法。

The data economy, emerging from the current hyper-technological landscape, is a global digital ecosystem where data is gathered, organized and exchanged to create economic value. This paper aims to shed light on the interplay of the different topics involved in the data economy, as found in the literature. The study research provides a comprehensive understanding of the opportunities, challenges and implications of the data economy for businesses, governments, individuals and society at large, while investigating its impact on business value creation, knowledge and digital business transformation.

The authors conducted a literature review that generated a conceptual map of the data economy by analyzing a corpus of research papers through a combination of machine learning algorithms, text mining techniques and a qualitative research approach.

The study findings revealed eight topics that collectively represent the essential features of data economy in the current literature, namely (1) Data Security, (2) Technology Enablers, (3) Business Implications, (4) Social Implications, (5) Political Framework, (6) Legal Enablers, (7) Privacy Concerns and (8) Data Marketplace. The study resulting model may help researchers and practitioners to develop the concept of data economy in a structured way and provide a subset of specific areas that require further research exploration.

Practically, this paper offers managers and marketers valuable insights to comprehend how to manage the opportunities deriving from a constantly changing competitive arena whose value is today also generated by the data economy.

Socially, the authors also reveal insights explaining how the data economy features may be exploited to build a better society.

This is the first paper exploring the data economy opportunity for business value creation from a critical perspective.

The purpose of this study is to develop and assess the effects of unified theory of acceptance and use of technology (UTAUT 2) constructs – effort expectancy (EE), social influence (SI) and hedonic motivation (HM) – on behavioural intention (BI), as well as the impact of innovation resistance theory (IRT) constructs – usage barrier (UB) and tradition barrier (TB) – on innovation resistance (IR) behavior in the context of digital zakat payment in Aceh. In addition, this study also examines how knowledge of fiqh zakat influences both BI and IR.

This was a quantitative study including 350 Acehnese persons who paid zakat online. This research used a Likert scale, and the sampling technique was purposive sampling applied for the Acehnese people. The research respondents were civil servants, private employees, BUMN employees (employees of State-Owned Enterprises), merchants, restaurant owners, professionals and other occupations who had paid professional zakat through a digital system mechanism. The data were analysed using partial least squares structural equation modelling.

This research found that the constructs built through the theory of UTAUT 2 explained the position of the EE variable, which had a significant effect on BI. On the other hand, the variable of SI and HM did not significantly affect BI in digital zakat payment. This finding demonstrated that BI significantly influenced actual usage (AU). UB and TB had no impact on IR, according to the theoretical framework developed by IRT. Yet, the knowledge about the fiqh zakat (KFZ) significantly affected the AU. In terms of the moderation role, the KFZ variable moderated the relationship between BI and AU. However, the KFZ variable did not moderate the relationship between IR and AU.

This research had limitations and could still be investigated further by involving a larger sample. This study does not include all UTAUT 2 and IRT constructs, but only involves UTAUT 2 and IRT constructs based on the phenomenon of digital zakat paying behavior in the people of Aceh.

This research had a managerial contribution and an evaluation of the use of digital zakat collection services in Aceh and zakat management institutions in various countries. The existence of significant EE should be a reference for zakat institutions to produce continuous payment applications with a higher level of convenience in the future. In addition, the government should encourage more organised fiqh zakat education in society to plan a more optimal zakat collection. The reason for this is that KFZ has been shown to moderate zakat intentions towards actual digital zakat payment behaviour.

The results of this study were then accommodated by the government to design a digital zakat collection system so that it resulted in optimising the collected zakat funds. The greater the zakat funds collected, the greater the economic impact and social resilience of the community was in the midst of the post-covid and global crisis.

This research provided an essential value in the aspect of collecting zakat funds, especially in the study of the behaviour of paying zakat digitally. The theory of planned behaviour predominated in earlier studies that investigated zakat-paying behaviour. Yet, this research was even more focused as it used the constructs of UTAUT 2 and IRT theory and applied the involvement of a moderator variable like fiqh zakat knowledge that was barely discussed.

Psychologically Informed Planned Environments (PIPEs) are designed to support individuals to develop positive relationships. This can be achieved through social activities and engagement with committees. Developing understanding of diversity and inclusion (D&I) continues to be an area of need in criminal justice. A custodial PIPE therefore developed a D&I committee, which included the planning and delivery of community events. This study aims to explore the effectiveness of the committee and events in increasing understanding of protected characteristics, enabling individuals to raise D&I-related issues, developing positive relationships and increasing feelings of safety.

Eight participants residing on a PIPE engaged in semi-structured interviews to explore their experience of the D&I committee and events. Thematic analysis was used to explore the responses and to identify common themes within the data.

Four themes were identified: “you’re in a safe environment here”, connectedness, opportunities to learn and grow and “it could be better”. The research indicated that the D&I committee and events support several of the enabling environments standards and provide prisoners with an opportunity to build on their strengths and capabilities, in line with the Good Lives Model (Ward, 2002; Ward and Gannon, 2006), which underpins the ethos of PIPEs (NOMS and DoH, 2012; HMPPS and NHS, 2023).

There is scope for similar committees to be implemented in other psychologically informed environments, which could potentially be extended to other therapeutic environments and “standard wings” within prisons. However, future research should consider the influence of prisoners’ individual characteristics on their experience of such committees and events.

PIPEs provide a unique environment in which various committees can be implemented. A D&I committee has provided the space and opportunity for staff and prisoners to develop their knowledge and understanding and to build positive relationships. This research has evaluated the effectiveness of this and aims to promote the use of such committees in other services.

To provide insights around navigating, coping and tackling racial inequalities at university through three key areas: peer support through sharing stories, motivating others in the call to action through developing an anti-racist socially just consciousness and student staff co-creation to build belonging and community at university.

Varied approaches are included around pedagogy, curriculum, peer support, using creative outputs, sharing stories and valuing student wisdom through co-creation underpinned by empirical research.

I concede that establishing race equity in higher education continues to be an ongoing struggle, complete with trials, tribulations and trauma. As “The Forced Silence” outlines, to affect any changes in the institution or in the community and wider society, the changes have to take place at the peer level initially, as it is people and individuals who make up the system. This means that tackling racism is everyone’s business and we all have a responsibility for this work. Privileged folks who are seemingly disaffected by racial discrimination are indeed misguided, as racism is an illness in society and significantly harms our global community. Within higher education institutions, educators occupy a position of power (Hearn, 2012), which I argue we must use in a socially just manner to support all our students to succeed. By embodying and enacting care, compassion and respect within our practice, we can then instil the same in our students, just as we would do for our own children. Our students, just like our children, can then go into society as holistic and socially just conscious members of our community, which I argue is even more important than graduating with a good university degree.

I use a range of original poetry and theory with a view to supporting my academic professional practice in higher education.

This study aims to examine the variables that may influence the acceptance and adoption of robot-assisted services by various stakeholders in the tourist industry, namely in hotels.

This study utilized a qualitative research approach to investigate what may influence the acceptance and adoption of artificial intelligence (AI)-driven technologies in hotels in North Cyprus. Participants were selected for the study based on certain criteria using a referral sampling method.

The author have identified five core themes. (1) “Insufficient awareness;” (2) “Inadequate knowledge to operate robot-assisted services;” (3) “Limited budget;” (4) “Adherence to traditional management approaches” and (5) “Absence of incentives from tourism authorities.” This study establishes the foundation for future research and strategic initiatives aimed at enhancing the readiness of the hotel industry in North Cyprus to integrate robot-assisted services.

This research has practical consequences for hotel management employees in North Cyprus. The results may serve as guides for hotel stakeholders to enhance their understanding of the importance of innovation and establishing a competitive advantage in the rapidly growing hospitality business by identifying the pros and cons of adopting AI-driven technology.

To the best of the authors' knowledge, there have been few studies examining the viewpoints of managerial employees in North Cyprus hotels on the implementation of robot-assisted services. The authors examined several managerial employees in hotels to determine factors that might affect the adoption of AI-driven technology. The results are valuable for future research in the context of hotels in North Cyprus.

This study proposes a novel method utilising a speech-word pair bipartite network to examine the correlation structure between members of parliament (MPs) in the context of the UK- China relationship.

We construct MP-word pair bipartite networks based on the co-occurrence relationship between MPs and words in their speech content. These networks are then mapped into monopartite MPs correlation networks. Additionally, the study calculates correlation network indicators and identifies MP communities and factions to determine the characteristics of MPs and their interrelation in the UK-China relationship. This includes insights into the distribution of key MPs, their correlation structure and the evolution and development trends of MP factions.

Analysis of the parliamentary speeches on China-related affairs in the British Parliament from 2011 to 2020 reveals that the distribution and interrelationship of MPs engaged in UK-China affairs are centralised and discrete, with a few core MPs playing an integral role in the UK-China relationship. Among them, MPs such as Lord Ahmad of Wimbledon, David Cameron, Lord Hunt of Chesterton and Lord Howell of Guildford formed factions with significant differences; however, the continuity of their evolution exhibits unstableness. The core MP factions, such as those led by Lord Ahmad of Wimbledon and David Cameron, have achieved a level of maturity and exert significant influence.

The research has several limitations that warrant acknowledgement. First, we mapped the MP-word pair bipartite network into the MP correlation network for analysis without directly analysing the structure of MPs based on the bipartite network. In future studies, we aim to explore various types of analysis based on the proposed bipartite networks to provide more comprehensive and accurate references for studying UK-China relations. In addition, we seek to incorporate semantic-level analyses, such as sentiment analysis of MPs, into the MP-word -pair bipartite networks for in-depth analysis. Second, the interpretations of MP structures in the UK-China relationship in this study are limited. Consequently, expertise in UK-China relations should be incorporated to enhance the study and provide more practical recommendations.

Firstly, the findings can contribute to an objective understanding of the characteristics and connotations of UK-China relations, thereby informing adjustments of focus accordingly. The identification of the main factions in the UK-China relationship emphasises the imperative for governments to pay greater attention to these MPs’ speeches and social relationships. Secondly, examining the evolution and development of MP factions aids in identifying a country’s diplomatic focus during different periods. This can assist governments in responding promptly to relevant issues and contribute to the formulation of effective foreign policies.

First, this study expands the research methodology of parliamentary debates analysis in previous studies. To the best of our knowledge, we are the first to study the UK-China relationship through the MP-word-pair bipartite network. This outcome inspires future researchers to apply various knowledge networks in the LIS field to elucidate deeper characteristics and connotations of UK-China relations. Second, this study provides a novel perspective for UK-China relationship analysis, which deepens the research object from keywords to MPs. This finding may offer important implications for researchers to further study the role of MPs in the UK-China relationship.

This study proposes a novel scheme for analysing the correlation structure between MPs based on bipartite networks. This approach offers insights into the development and evolving dynamics of MPs.