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The objective of this study is to explore the concept of rural coworking in the scientific literature and examine how it generates community narratives based on the value of space and business practices. This study aims to contribute to the understanding of rural coworking as a driver of participation and relationships among diverse stakeholders.

To identify and analyse trends and categories in rural coworking studies, understand the concept of rural coworking and how community narratives have been focused, the authors carried out a systematic literature review following the preferred reporting items for systematic reviews and meta-analyses (PRISMA) tool. The review was performed using Scopus, obtaining 22 papers.

The findings reveal that rural coworking is on definition, but it emphasises the role of community as a main actor in its consolidation. On the other hand, rural coworking is seen as an opportunity to create impactful new business strategies through space regeneration and revitalisation. Management perspectives prevail in this research field, highlighting the role of public administrations, entrepreneurs and policymakers, and their capacities to build a business environment to enhance coworking activity.

The paper establishes conceptual categories and research trends in the rural coworking literature, and how its actors have a strategic importance in defining their own practices and narratives. The interrelationship between coworking activity and local business development is continually seen as an opportunity for growth, so this paper will have value for rural coworking planners and consultants in non-urban areas.

This paper aims to explore a hotel brand personality performance through electronic word-of-mouth. A complementary attribute is designed and tested in addition to the already existing five dimensions from the brand personality scale, denominated sustainability.

A sample of 16,175 reviews from the rating session of three hotel properties behind a brand was retrieved from TripAdvisor for a data mining procedure. A complementary list of associated words was considered in addition to the 42 personality traits of Aaker’s model, and a brief inventory was developed based on the 17 sustainable development goals (SDGs) to compose the sustainability dimension.

This study registered sincerity as the most representative dimension in its results, and ruggedness as the lowest. This is evidence that the latter is not suitable for representing a brand personality scale for hotels and could be replaced by sustainability.

Despite the relevant findings, new surveys and tests are recommended to provide better support to the new proposed dimension.

This investigation enables hotel managers to work more effectively on their brand strategies based on sustainability-oriented brand personality, which could deliver economic, social and environmental benefits to the world by influencing consumption behavior in association with the SDGs.

This study differs from existing literature by attempting to fill a gap on the limitations of studies focused on linking brand personality to sustainability, and using data mining to reach this goal.

本论文探索通过电子口碑形式的酒店品牌个性效用。本论文设计和检测了一个附加要素 （计价可持续性）, 对现有的五项维度品牌个性量表进行补充

本文样本为TripAdvisor同一品牌的三家酒店的16,175评论, 对其进行数据挖掘。本文扩充了Aaker模型的42项个性特点外的相关词汇, 并且建立了基于17项可持续发展战略目标（SDGs）的词汇库, 以确定可持续性维度

本论文确立了真诚度为结果中最具代表性的维度, 坚固性为最低代表度。显而易见, 坚固性不适合代表酒店品牌个性, 需要被可持续性取代

尽管相关结果, 本文建议采用新问卷和测试来为新提出的维度做更好的理论支持

hx672C;论文使得酒店经理能够更高效地运作, 基于可持续品牌个性的品牌战略, 这将带来结合SDGs的消费行为, 从而对世界带来经济、社会、和环境效益

本论文区别于以往的文献, 连接品牌个性与可持续性, 使用数据挖掘的方法, 来实现研究目的, 对有限的相关文献做出贡献

This paper aims to investigate the process performances in Emergency Departments (EDs) with a novel data-driven approach, permitting to discover the entire patient-flow, deploy the performances in term of time and resources on the activities and flows and identify process deviations and critical bottlenecks. Moreover, the use of this methodology in real time might dynamically provide a picture of the current situation inside the ED in term of waiting times, crowding, resources, etc., supporting the management of patient demand and resources in real time.

The proposed methodology exploits the process-mining techniques. Starting from the event data inside the hospital information systems, it permits automatically to extract the patient-flows, to evaluate the process performances, to detect process exceptions and to identify the deviations between the expected and the actual results.

The application of the proposed method to a real ED revealed being valuable to discover the actual patient-flow, measure the performances of each activity with respect to the predefined targets and compare different operating situations.

Starting from the results provided by this system, hospital managers may explore the root causes of deviations, identify areas for improvements and hypothesize improvement actions. Finally, process-mining outputs may provide useful information for creating simulation models to test and compare alternative ED operational scenarios.

This study responds to the need of novel approaches for monitoring and evaluating processes performances in the EDs. The novelty of this data-driven approach is the opportunity to timely connect performances, patient-flows and activities.

The purpose of this paper is to determine the demographic characteristics and habits of craft beer consumers, as well as to identify the motivational factors for consumption.

Data were collected through questionnaires applied to 316 Brazilian craft beer consumers, and results were evaluated descriptively and by multivariate statistics.

The results of the survey revealed that there is a growing market segment with different buying habits and behaviors compared to traditional beer consumers. Demographically, it was found that these consumers are an attractive part of the beer market in terms of age, schooling and, more importantly, in terms of income, factors that indicate the probability of continued growth in the sector.

The research was limited to craft beer consumers in the metropolitan region of Belo Horizonte/MG, Brazil.

The results obtained are important, as they can help new craft breweries, as well as help established industry managers to create strategies related to marketing four Ps in order to increase the consumption of its products, with competitive advantages to the market.

This research presents the characteristics of the consumers of craft beer, a market segment in evident rise in Brazil, about which there are few studies. In addition, it provides valuable information to both the new beverage manufacturers as well as to the already established entrepreneurs in the market so that they can increase the consumption of their products in a strategic way.

The purpose of this study is twofold: exploring new queue-based variables enabled by process mining and evaluating their impact on the accuracy of waiting time prediction. Such queue-based predictors that capture the current state of the emergency department (ED) may lead to a significant improvement in the accuracy of the prediction models.

Alongside the traditional variables influencing ED waiting time, the authors developed new queue-based predictors exploiting process mining. Process mining techniques allowed the authors to discover the actual patient-flow and derive information about the crowding level of the activities. The proposed predictors were evaluated using linear and nonlinear learning techniques. The authors used real data from an ED.

As expected, the main results show that integrating the set of predictors with queue-based variables significantly improves the accuracy of waiting time prediction. Specifically, mean square error values were reduced by about 22 and 23 per cent by applying linear and nonlinear learning techniques, respectively.

Accurate estimates of waiting time can enable the ED systems to prevent overcrowding e.g. improving the routing of patients in EDs and managing more efficiently the resources. Providing accurate waiting time information also can lead to decreased patients’ dissatisfaction and elopement.

The novelty of the study relies on the attempt to derive queue-based variables reporting the crowding level of the activities within the ED through process mining techniques. Such information is often unavailable or particularly difficult to extract automatically, due to the characteristics of ED processes.

The use of digital technologies in the financial service industry has brought new complexities to the corporate governance in banks. Relying on the agency perspective of the shareholder, debtholder and societal governance in banks, this research examines the impact of financial technology innovation (FinTech) on banks' performance by enlightening the monitoring role of female independent directors.

Relying on a sample of Italian banks observed during the period 2016–2020, the authors hand-collected data on the use of FinTech by considering (1) the in-house provisions of FinTech solutions, (2) the collaboration with external FinTech firms and (3) a combination of both measures. The authors run a panel data regression analysis with fixed effects, measuring bank performance through bank competitiveness and bank riskiness.

The authors find that FinTech increases bank competitiveness in gathering money from depositors and that independent women on board mitigate the negative relationship between FinTech and the riskiness of banks' assets, ameliorating the conflicting interests among shareholders, debtholder and societal governance.

This study emphasizes the complexities of bank governance when dealing with FinTech in the wider perspective of equity governance, debt governance and the societal governance spotlighting the importance of appointing female directors in independent positions to enhance the bright sides of financial innovation. The authors enrich the literature on FinTech with a finer understanding of the drivers and implications of in-house provisions of FinTech solutions versus the collaboration with external FinTech firms.

The authors passively apply a researcher profile pitch (RPP) template tool in accounting and across a range of Business School disciplines.

The authors document a diversity of worked examples of the RPP. Using an auto-ethnographic research design, each showcased researcher reflects on the exercise, highlighting nuanced perspectives drawn from their experience. Collectively, these examples and associated independent narratives allow the authors to identify common themes that provide informative insights to potential users.

First, the RPP tool is helpful for accounting scholars to portray their essential research stream. Moreover, the tool proved universally meaningful and applicable irrespective of research discipline or research experience. Second, it offers a distinct advantage over existing popular research profile platforms, because it demands a focused “less”, that delivers a meaningful “more”. Further, the conciseness of the RPP design makes it readily amenable to iteration and dynamism. Third, the authors have identified specific situations of added value, e.g. initiating research collaborations and academic job market preparation.

The RPP tool can provide the basis for developing a scalable interactive researcher exchange platform.

The authors argue that the RPP tool potentially adds meaningful incremental value relative to existing popular platforms for gaining researcher visibility. This additional value derives from the systematic RPP format, combined with the benefit of easy familiarity and strong emphasis on succinctness. Additionally, the authors argue that the RPP adds a depth of nuanced novel information often not contained in other platforms, e.g. around the dimensions of “data” and “tools”. Further, the RPP gives the researcher a “personality”, most notably through the dimensions of “contribution” and “other considerations”.

This paper aims to investigate the relationship between gender diversity in CEO positions and FinTech profitability by exploring the moderating role of the average board age on such a relationship.

A unique data set of Italian FinTech companies during the 2017–2019 period was used in an ordinary least square model specification. The model is designed to assess the relationship between the presence of a female CEO and FinTech profitability and the moderating role of the average age of governing board members.

The results of this study indicate that when the average age of the FinTech firm’s board members is relatively low, the profitability of those firms with female CEOs was not significantly different from the profitability of firms with male CEOs. However, among FinTech firms with relatively older board members, the profitability of those firms with a female CEO was lower. This empirical result seems to suggest that older board directors are less prone to recognize female CEO leadership qualities. This supports the need for FinTech firms to adopt good practices in board composition that favor gender inclusion and diversity on board.

The novelty of this study within the literature is that the empirical analysis added new evidence on the relationship between Female CEO and performance by exploring the moderating role of the average age of board members. Moreover, the empirical results of this study suggest specific conditions that could improve the profitability of female-led firms by removing the apparent biased perceptions about the quality of women in leadership among older board members.

This paper aims to model a decision support system (DSS) that could overcome the oversimplified, subjective, compensatory decision logic of extant purchasing portfolio models (PPMs) by leveraging the firms’ procurement-related knowledge base.

The DSS was developed through a fuzzy-based approach, whose design and application were framed within a case study in a multinational company.

The application of the fuzzy-based DSS to a product class suggests investing in the relationship with two specific suppliers and to loosen the relationship with a third one.

Exploiting the fuzzy set theory and fostering the elicitation of procurement-related knowledge from the decision-makers, the DSS effectively tackles the concerns about the existing PPMs by including strategic-oriented priorities and contextual constraints in the evaluation.

The recommendations in output from the DSS are feasible, more analytical and easy to interpret, enabling knowledge sharing, group decision processes and better decision-making.

To the best of the authors’ knowledge, this manuscript is the first attempt to effectively integrate traditional PPMs with contextual, strategy-related factors to refine the purchasing directions and make them objective.

The interest in promoting diversity in corporate governance is increasing gender equality on boards. Even so, previous research shows that women are underrepresented on boards of directors. This study aims to explore how an increasing presence of women on boards reduces gender pay disparity among nonexecutive directors (NEDs).

This study explores how an increasing presence of women on boards reduces gender pay disparity among NEDs.

The results indicate that for boards to reduce the gender pay disparity among NEDs, women need to reach a critical mass of 33% of board members. In addition, this study finds that women’s presence on influential committees further reduces the gender pay disparity among NEDs.

The study uses critical mass and social identity theories to explain the impact of women directors on NEDs’ remuneration in a sample of 365 companies listed on the London Stock Exchange over 16 years (1999–2015). The findings indicate the importance of reducing gender pay disparity as a tool to promote gender equality on boards.

This study provides evidence on the importance of corporations including gender diversity on board committees to reduce gender pay disparities at the board level.

In addition, this study finds that women’s presence on influential committees further reduces gender pay disparity among NEDs.