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Boutique hotels reflect a nascent phenomenon in the literature and in the accommodation sector. As a result, they are void of governmental classification and regulation. Concurrently, they lack any form of operational definition. The purpose of this paper is to address these limitations by identifying the core attributes found to define boutique hotels.

To fulfil the purpose of this paper, the authors conducted a systematic literature review on Web of Science. This resulted in an analysis of 33 peer-review articles published from 1994 to 2022.

The findings of this review revealed that boutique hotels are defined by eight core attributes; these are (1) multiple ownership structures, (2) situatedness in a historic premises, (3) strategic locations, (4) thematized internal décor, (5) experience design, (6) high levels of personalization, (7) novelty in service provisions and (8) niche marketing strategies.

For policymakers, this paper may be used as a reference point to establish designated classification systems for boutique hotels. For practitioners, this paper may be used as a source of inspiration and benchmark to establish boutique hotels which align to the criteria highlighted in this paper. For scholars, this paper proposes an operational description of boutique hotels and novel areas for future research.

This paper represents one of the initial efforts undertaken by researchers to unify the literature on boutique hotels.

The study uses machine learning techniques to cluster regional retail egg prices after 2000 in China. Furthermore, it combines machine learning results with econometric models to study determinants of cluster affiliation. Eggs are an inexpensiv, nutritious and sustainable animal food. Contextually, China is the largest country in the world in terms of both egg production and consumption. Regional clustering can help governments to imporve the precision of price policies and help producers make better investment decisions. The results are purely driven by data.

The study introduces dynamic time warping (DTW) algorithm which takes into account time series properties to analyze provincial egg prices in China. The results are compared with several other algorithms, such as TADPole. DTW is superior, though it is computationally expensive. After the clustering, a multinomial logit model is run to study the determinants of cluster affiliation.

The study identified three clusters. The first cluster including 12 provinces and the second cluster including 2 provinces are the main egg production provinces and their neighboring provinces in China. The third cluster is mainly egg importing regions. Clusters 1 and 2 have higher price volatility. The authors confirm that due to transaction costs, the importing areas may have less price volatility.

The machine learning techniques could help governments make more precise policies and help producers make better investment decisions.

This is the first paper to use machine learning techniques to cluster food prices. It also combines machine learning and econometric models to better study price dynamics.

This study investigates the economic outcomes of organic farming controlling for the four major aspects of a cropping system, including climate, genotypes, management and soil. Considering possible variations in treatment responses, this study also presents empirical evidence of heterogeneous treatment effects associated with spatial agglomeration or farm covariates.

Rice farm households data taken from the 2015 Agriculture Census is merged with township-level seasonal weather data, crop suitability index and average income per capita in Taiwan. To address the selection bias problem, the authors apply the Probit-2SLS instrumental variable (IV) method in the binary treatment model under homogeneous and heterogeneous assumptions.

It is found that organic farming leads to a significantly positive effect on rice farms' economic performances in terms of cost reduction and profit growth. This positive treatment effect is more sizable with spatial agglomeration. Furthermore, the treatment effect of organic farming is found to vary with the farm characteristics such as farmland area and the number of hired workers.

Two important implications for the promotion of sustainable agri-food production are inferred: (1) establishing organic agriculture specialized zones may benefit rural development; (2) providing economic incentives to small farms to expand their scale may be a more effective policy means to promote sustainable agri-food production.

The findings in this study complement the body of knowledge by drawing insights from the agriculture census data and providing profound evidence of the heterogeneous outcomes of organic farming due to spatial clustering and farm covariates.

This study aims to ascertain the personal characteristics of a group of successful academic entrepreneurs in a South African university enterprise and the prevalent barriers and enablers to their entrepreneurial endeavour.

The authors used a Delphi process to identify and rank the characteristics, enablers, barriers and behaviours of entrepreneurial academics, with a Nominal Group Technique applied to establish challenges they encounter managing their enterprise and to propose solutions.

Perseverance, resilience and innovation are critical personal characteristics, while collaborative networks, efficient research infrastructure and established research competence are essential for success. The university’s support for entrepreneurship is a significant enabler, with unnecessary bureaucracy and poor access to project and general enterprise funding an impediment. Successful academic entrepreneurs have strong leadership, and effective management and communication skills.

The main limitation is the small study participant group drawn from a single university enterprise, which complicates generalisability. The study supported the use of Krueger’s (2009) entrepreneurial intentions model for low- and middle-income country (LMIC) academic entrepreneur investigation but proposed the inclusion of mitigators to entrepreneurial activation to recognise contextual deficiencies and challenges.

Skills-deficient LMIC universities should extensively and directly support their entrepreneurial academics to overcome their contextual deficiencies and challenging environment.

This study contributes to addressing the paucity of academic entrepreneur research in LMIC contexts by identifying LMIC-specific factors that inhibit the entrepreneur’s movement from entrepreneurial intention to entrepreneurial action.

The purpose of this systematic literature review was to collect and review the studies published worldwide in English language presenting the persuasive role of information/content credibility (IC) on the information adoption behavior (IAB) of social media users.

The relevant literature was searched by the reviewers from two specialized databases, i.e. Library, Information Science and Technological Abstract (LISTA) and Library and Information Science Abstracts (LISA), whereas five general databases, i.e. Emerald, Springer Link, Taylor and Francis Online, ProQuest Dissertations and Theses Global and Google Scholar, using the Internet (portal) services available at the two Pakistani universities, i.e. University of Sargodha and the University of the Punjab. The search was updated in February 2022.

The results of this study revealed that there was a significant impact of IC over the IAB of social media users.

This study is the first of its nature that aims to collect and present a systematic review of the literature based on empirical evidence of the influential role of IC on the IAB of social media users.

This study aims to explore the individual lived crucible experiences of women leaders in higher education (HE) and business as the catalyst to investigate organisational inequality regimes that prevent women leaders from fully participating, contributing and flourishing at work. Drawing upon Bolman and Deal’s four-frame theoretical organisational model, this study analyses women’s lived crucible leadership experiences to better understand the organising processes and practices that render intersectionality invisible that reinforce and perpetuate inequality regimes.

A collaborative autoethnographic research method was selected for data collection. The research team members each selected one significant crucible moment from their professional career and used the Gibb’s six-part reflective cycle to document their narrative and reflect on their leadership experience. A reflexive thematic analysis was used based on Braun and Clarke’s six phases.

The study features the importance of creating a climate in organisations that acknowledges the need for greater equity, diversity and inclusion (EDI) to support women leaders. Four global themes emerged from the analysis of the leadership narratives: organisation, power dynamics, emotional distress and perseverance and intersectionality. These themes illuminate a greater understanding of organisational life for women and confirm the presence of inequality regimes of gender and race.

This is the first study to explore the impact of women leaders’ crucible experiences through the lens of the Bolman and Deal’s model that highlights the need to consider an EDI lens as the fifth frame.

Data for the case came from public sources, including legal proceedings, court filings and Securities and Exchange Commission filings. The authors perused hundreds of court documents and identified 28 that were most relevant to this case. The authors also used press interviews with the women highlighted in the case. The authors have no relationship with the company and no one from the company has reviewed the information presented in this case. As the case is drawn from sworn legal testimonies, interviews and related documents in the public domain, the authors did not have to seek approval for publication.

Pinterest touted itself as “the nicest place on the Internet.” It had an almost 80% female user base and purported to have an inclusive culture that embraced diversity. However, in June 2020, in the wake of the Black Lives Matter protests, two former female employees of color violated their non-disclosure agreements (NDAs) to publicly accuse Pinterest of racial and gender discrimination. In August 2020, Pinterest’s former Chief Operating Officer, Francoise Brougher, filed a lawsuit charging the company with gender discrimination, retaliation and wrongful termination, and authored a public blog post titled, The Pinterest Paradox: Cupcakes and Toxicity, detailing her own experience with the company’s discriminatory culture. Three days later 236 of Pinterest’s 2,545 employees staged a virtual walkout and 445 employees signed a petition in an attempt to change Pinterest’s policies and culture. The case provides a brief overview of Pinterest, including its mission, values and organizational culture, and details several incidents and complaints by female and minority employees. The case questions whether employee complaints are a relatively narrow issue involving disgruntled former employees who did not fit at the organization or a much broader issue involving discrimination and managerial neglect in creating and maintaining a nondiscriminatory, inclusive culture. Students are encouraged to evaluate the situation in which Co-Founder, Board Chair and Chief Executive Officer, Ben Silbermann finds himself, evaluate the actions taken and decide if Silbermann should take any additional actions to address the discrimination claims and ensure a positive culture for all employees.

This case is appropriate for graduate and advanced undergraduate level courses in organizational behavior, human resource management and business law or any course where discrimination and workplace culture are discussed.

This paper aims to report on research undertaken in an National Health Service (NHS) emergency department in the north of England, UK, to identify which patients, with which clinical conditions are returning to the emergency department with an unscheduled return visit (URV) within seven days. This paper analyses the data in relation to the newly introduced Integrated Care Boards (ICBs). The continued upward increase in demand for emergency care services requires a new type of “upstreamist”, health system leader from the emergency department, who can report on URV data to influence the development of integrated care services to reduce further demand on the emergency department.

Patients were identified through the emergency department symphony data base and included patients with at least one return visit to emergency department (ED) within seven days. A sample of 1,000 index visits between 1 January 2019–31 October 2019 was chosen by simple random sampling technique through Excel. Out of 1,000, only 761 entries had complete data in all variables. A statistical analysis was undertaken using Poisson regression using NCSS statistical software. A review of the literature on integrated health care and its relationship with health systems leadership was undertaken to conceptualise a new type of “upstreamist” system leadership to advance the integration of health care.

Out of all 83 variables regressed with statistical analysis, only 12 variables were statistically significant on multi-variable regression. The most statistically important factor were patients presenting with gynaecological disorders, whose relative rate ratio (RR) for early-URV was 43% holding the other variables constant. Eye problems were also statistically highly significant (RR = 41%) however, clinically both accounted for just 1% and 2% of the URV, respectively. The URV data combined with “upstreamist” system leadership from the ED is required as a critical mechanism to identify gaps and inform a rationale for integrated care models to lessen further demand on emergency services in the ED.

At a time of significant pressure for emergency departments, there needs to be a move towards more collaborative health system leadership with support from statistical analyses of the URV rate, which will continue to provide critical information to influence the development of integrated health and care services. This study identifies areas for further research, particularly for mixed methods studies to ascertain why patients with specific complaints return to the emergency department and if alternative pathways could be developed. The success of the Esther model in Sweden gives hope that patient-centred service development could create meaningful integrated health and care services.

This research was a large-scale quantitative study drawing upon data from one hospital in the UK to identify risk factors for URV. This quality metric can generate important data to inform the development of integrated health and care services. Further research is required to review URV data for the whole of the NHS and with the new Integrated Health and Care Boards, there is a new impetus to push for this metric to provide robust data to prioritise the need to develop integrated services where there are gaps.

To the best of the authors’ knowledge, this is the first large-scale study of its kind to generate whole hospital data on risk factors for URVs to the emergency department. The URV is an important global quality metric and will continue to generate important data on those patients with specific complaints who return back to the emergency department. This is a critical time for the NHS and at the same time an important opportunity to develop “Esther” patient-centred approaches in the design of integrated health and care services.