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The current paper is part of a larger scoping review project investigating the intersection of leader(ship) identity development and meaning-making. In this review, we analyzed 100 articles to determine the current extent of literature that covers the intersection of leader(ship) identity development, meaning-making and marginalized social identities.

A review of the extant literature is included, and a conceptual model is suggested for further exploration into this critical and under-researched domain.

More research is needed at the intersection of leadership identity development, meaning-making and marginalized social identities.

As this area of study has expanded, scholars have noted an absence of research on the effect of multiple social identities, especially marginalized identities, on meaning-making and leadership identity construction.

This study explored the experiences of college staff members engaged in advancing LGBTQ equity at a small fine arts college in the Midwestern United States. This qualitative case study advanced a conceptual framework for queer leadership in higher education. Findings illuminate how campus leaders engaged queer leadership strategies and LGBTQ advocacy to advance LGBTQ equity through college policy and practice. This study reveals rich implications for college administrators and higher education leaders advancing change for LGBTQ equity.

Prior research has extensively explored the dynamics of knowledge creation and transfer within entrepreneurial ecosystems (EEs). However, the research on knowledge integration within EEs, particularly by entrepreneurs, remains scant. Garnering and effectively using knowledge in such a dynamic and complex environment can provide entrepreneurs with a valuable asset for gaining a competitive advantage. To address this gap, this study aims to explore how entrepreneurs garner and capitalise on knowledge within the EE environment by using a transactive memory system lens.

This study is based on 26 semi-structured interviews with different actors and members of the same ecosystem – the northern Finnish health tech ecosystem. The data were analysed using the Gioia methodology.

This study results found that transactive memory processes (i.e. knowledge specialisation, credibility and coordination) and structures (i.e. differentiated-, shared- and meta-knowledge) influence knowledge organising in EEs.

This study provides a conceptual interplay between the EE and the transactive memory system’s processes and structures.

In this study, three models were empirically compared, the DeLone and McLean model, the Seddon model and the Modified Seddon model, by measuring the impact of a business intelligence system (BIS) in companies in Peru. After that, the mediators and dependent constructs were analysed to determine if they were behaving properly (a good level of variance explanation and significant relations with others constructs). The study used a sample of 104 users of the BIS, from companies in several important economic sectors, in a quasi-voluntary context and with six constructs: information quality, system quality, service quality, system dependence (system use), user satisfaction and perceived usefulness (individual impact).

To interpret the results, the authors used structural equations. The idea was to look for the best fit and explanations for the outcomes. The main difference in these models is that the DeLone and McLean model considers system dependence (system use) as a part of information system success, but in the Seddon model, it is a consequence of it.

The Seddon model seems to show the best fit and explanation for the outcomes. After that, a review of the system use construct was realised, because of its limited variance explained and the few significant relations with other constructs, to improve its explanation power in future research.

It is estimated that the sample includes more than 15 per cent of all the companies that use a BISs in Peru, so the size of the sample is adequate, but it is not entirely random and therefore limits the generalizability of outcomes. Besides that, a sample size that is bigger could be better for the sake of making a more detailed analysis, permitting the use of some items with less power, or the use of another statistical procedure for structural equations such as the Asymptotical Distribution Free, permitting a more detailed analysis (Hair et al., 2006).

Business intelligence (BI), one of the most important components of information systems (IS), is playing a very relevant role in business in this time of high competition, high amounts of data and new technology. Currently, companies feel pressured to respond quickly to change and complicated conditions in the market, needing to make the correct tactical, operational and strategic decisions (Chugh and Grandhi, 2013). BI is one of the most important drivers of the decade (Gartner, 2013). Big companies of IS are creating special units specialised in BI, helping companies become more efficient and effective in daily operations.

This study aimed to evaluate the potential of artificial intelligence (AI) as a tool for knowledge synthesis, the production of written content and the delivery of coaching conversations.

The research employed the use of experts to evaluate the outputs from ChatGPT's AI tool in blind tests to review the accuracy and value of outcomes for written content and for coaching conversations.

The results from these tasks indicate that there is a significant gap between comparative search tools such as Google Scholar, specialist online discovery tools (EBSCO and PsycNet) and GPT-4's performance. GPT-4 lacks the accuracy and detail which can be found through other tools, although the material produced has strong face validity. It argues organisations, academic institutions and training providers should put in place policies regarding the use of such tools, and professional bodies should amend ethical codes of practice to reduce the risks of false claims being used in published work.

This is the first research paper to evaluate the current potential of generative AI tools for research, knowledge curation and coaching conversations.

This study aims to investigate city branding as a post-pandemic COVID-19 outcome factor on brand satisfaction, brand experience, perceived risk and revisit intention. In addition, this research contributes to the discussion of post-COVID-19 city branding that needs to be considered in the development of future tourism marketing.

A quantitative approach was used with PLS-SEM statistical analysis and a 263-tourist sample. The study was conducted on tourists from Malang Regency in Indonesia by distributing questionnaires modified from previous studies in a similar context.

The results of this study found that there were significant influences of city brand personality on brand experience, brand satisfaction, brand experience on perceived risk, brand satisfaction on revisit intention and perceived risk on revisit intention. This study also presents the mediating role.

The study was only conducted on a small regency in Indonesia, and therefore the results cannot be generalized for other cities over the world.

The proposed study model suggests that stakeholders must seek to socialize services to potential tourists, so that tourists can understand the description of tourism activities that can be enjoyed during the COVID-19 pandemic and the way they travel in the future.

Understanding the determinant factors of city branding post-COVID-19 was valuable for developing marketing strategies to cope with intense competition among the city.

This study emphasizes the determinants of COVID-19 perceived risk and revisit intentions as explained in the tourism marketing literature by considering the role of brand satisfaction, brand experience and city brand personality which significantly contribute to build the city competitiveness. Therefore, various creative strategies should be implemented to promote the city as well as escalate tourist visits without ignoring the pandemic’s risks.

To date, little research has been undertaken to test the effectiveness of team coaching, with past work focusing on models, frameworks and competencies. This study aimed to examine the effectiveness of team coaching within real world organizational teams and its impact on individual perceptions of team cohesion and psychological safety.

A randomized control trial (RCT) using the comparable interventions: (1) team coaching (intervention) and (2) team facilitation (control) was employed with multiple teams and multiple facilitators, measuring the impact on team cohesion and psychological safety.

The data indicate participants engaging in the team coaching intervention made greater gains in terms of their individual perceptions of psychological safety and team cohesion than individuals who received the team facilitation intervention (T1–T2).

Facilitators should apply a team coaching approach when seeking to address issues of cohesion and psychological safety within workplace teams.

This study provides the first evidence, using an RCT method, of the effectiveness of team coaching as a workplace intervention for enhancing individual perceptions of psychological safety and team cohesion.

Following publication of a new vision for the English National Health Service (NHS) in 2014, known as the NHS Five-Year Forward View, a Vanguard programme was introduced by NHS England charged with the task of designing and delivering a range of new care models (NCMs) aimed at tackling deep-seated problems of a type facing all health systems to a greater or lesser degree. Drawing upon recent theoretical developments on the multilevel nature of context, we explore factors shaping the implementation of five NCM initiatives in the North East of England.

Data collection was based on semi-structured interviews (66 in total) between December 2016 and May 2017 with key informants at each site and a detailed review of Trusts' internal documents and policies related to the implementation of each NCM. Our analysis explores factors shaping the implementation of five NCM pilot sites as they touched on the multiple levels of context ranging from the macro policy level to the micro-level setting of workforce redesign.

It is far too early to conclude with any confidence that a successful outcome for the NCM programme will be forthcoming although the NHS Long-Term Plan seeks to build on the earlier vision set out in the Five-Year Forward View. Early indications show some signs of promise, especially where there is evidence of the ground having been prepared and changes already being put in place prior to the official launch of NCM initiatives. At the same time our findings demonstrate that all five pilot sites experienced, and were subject to, unrealistic pressure placed upon them to deliver outcomes.

Our findings demonstrate the need for a deeper understanding of the multilevel nature of context by exploring factors shaping the implementation of five NCMs in the North East of England. Exploring the wider national policy context is desirable as well as understanding the perceptions of front-line staff and service users in order to establish the degree of alignment or, conversely, to identify where policy and practice are at risk of pushing and pulling against each other.

This study demonstrates that aggregated data from the Repository Analytics and Metrics Portal (RAMP) have significant potential to analyze visibility and use of institutional repositories (IR) as well as potential factors affecting their use, including repository size, platform, content, device and global location. The RAMP dataset is unique and public.

The webometrics methodology was followed to aggregate and analyze use and performance data from 35 institutional repositories in seven countries that were registered with the RAMP for a five-month period in 2019. The RAMP aggregates Google Search Console (GSC) data to show IR items that surfaced in search results from all Google properties.

The analyses demonstrate large performance variances across IR as well as low overall use. The findings also show that device use affects search behavior, that different content types such as electronic thesis and dissertation (ETD) may affect use and that searches originating in the Global South show much higher use of mobile devices than in the Global North.

The RAMP relies on GSC as its sole data source, resulting in somewhat conservative overall numbers. However, the data are also expected to be as robot free as can be hoped.

This may be the first analysis of aggregate use and performance data derived from a global set of IR, using an openly published dataset. RAMP data offer significant research potential with regard to quantifying and characterizing variances in the discoverability and use of IR content.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-08-2020-0328

Globally, urban planners and decision makers are pursuing place-based initiatives to develop and enhance urban infrastructure to optimise city performance, competitiveness and sustainability credentials. New discourses associated with big data, Building Information Modelling, SMART cities, green and biophilic thinking inform research, policy and practice agendas to varying extents. However, these discourses remain relatively isolated as much city planning is still pursued within traditional sectoral silos hindering integration. This research explores new conceptual ground at the Smart – Natural City interface within a safe interdisciplinary opportunity space. Using the city of Birmingham UK as a case study, a methodology was developed championing co-design, integration and social learning to develop a conceptual framework to navigate the challenges and opportunities at the Smart-Natural city interface. An innovation workshop and supplementary interviews drew upon the insights and experiences of 25 experts leading to the identification of five key spaces for the conceptualisation and delivery at the Smart-Natural city interface. At the core is the space for connectivity; surrounded by spaces for visioning, place-making, citizen-led participatorylearning and monitoring.The framework provides a starting point for improved discussions, understandings and negotiations to cover all components of this particular interface. Our results show the importance of using all spaces within shared narratives; moving towards ‘silver-green’ and living infrastructure and developing data in response to identified priorities. Whilst the need for vision has dominated traditional urban planning discourses we have identified the need for improved connectivity as a prerequisite. The use of all 5 characteristics collectively takes forward the literature on socio-ecological-technological relationships and heralds significant potential to inform and improve city governance frameworks, including the benefits of a transferable deliberative and co-design method that generates ownership with a real stake in the outcomes.