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This research presents and evaluates a method for assessing the entrepreneurial mindset (EM) of students in higher education.

The research considers EM a multi-variable psychological construct, which can be broken down into several conceptual sub-categories. Using data from a master course in entrepreneurship, the authors show how these categories can be applied to analyze students’ written reflections to identify linguistic markers of EM.

The research reports three main findings: analyzing student reflections is an appropriate method to explore the state and development of students’ EM; the theoretically-derived EM categories can be nuanced and extended with insight from contextualized empirical insights; and student reflections reveal counter-EM categories that represent challenges in the educator’s endeavor to foster students’ EM.

The commitment of resources to researching EM requires the dedication of efforts to develop methods for assessing the state and development of students’ EM. The framework can be applied to enhance the theoretical rigor and methodological transparency of studies of EM in entrepreneurship education.

The framework can be of value to educators who currently struggle to assess if and how their educational design fosters EM attributes.

This inquiry contributes to the critical research discussion about how to operationalize EM in entrepreneurship education studies. The operationalization of a psychological concept such as EM is highly important because a research focus cannot be maintained on something that cannot be studied in a meaningful way.

Healthcare providers are under pressure due to increasing and more complex demands for services. Increased pressure on budgets and human resources adds to an ever-growing problem set. Competent leaders are in demand to ensure effective and well-performing healthcare organisations that deliver balanced results and high-quality services. Researchers have made significant efforts to identify and define determining competencies for healthcare leadership. Broad terms such as competence are, however, inherently at risk of becoming too generic to add analytical value. The purpose of this study is to suggest a holistic framework for understanding healthcare leadership competence, that can be crucial for operationalising important healthcare leadership competencies for researchers, decision-makers as well as practitioners.

In the present study, a critical interpretive synthesis (CIS) was conducted to analyse competency descriptions for healthcare leaders. The descriptions were retrieved from peer reviewed empirical studies published between 2010 and 2022 that aimed to identify healthcare services leadership competencies. Grounded theory was utilised to code the data and inductively develop new categories of healthcare leadership competencies. The categorisation was then analysed to suggest a holistic framework for healthcare leadership competence.

Forty-one papers were included in the review. Coding and analysing the competence descriptions resulted in 12 healthcare leadership competence categories: (1) character, (2) interpersonal relations, (3) leadership, (4) professionalism, (5) soft HRM, (6) management, (7) organisational knowledge, (8) technology, (9) knowledge of the healthcare environment, (10) change and innovation, (11) knowledge transformation and (12) boundary spanning. Based on this result, a holistic framework for understanding and analysing healthcare services leadership competencies was suggested. This framework suggests that the 12 categories of healthcare leadership competencies include a range of knowledge, skills and abilities that can be understood across the dimension personal – and technical, and organisational internal and – external competencies.

This literature review was conducted with the results of searching only two electronic databases. Because of this, there is a chance that there exist empirical studies that could have added to the development of the competence categories or could have contradicted some of the descriptions used in this analysis that were assessed as quite harmonised. A CIS also opens for a broader search, including the grey literature, books, policy documents and so on, but this study was limited to peer-reviewed empirical studies. This limitation could also have affected the result, as complex phenomenon such as competence might have been disclosed in greater details in, for example, books.

The holistic framework for healthcare leadership competences offers a common understanding of a “fuzzy” concept such as competence and can be used to identify specific competency needs in healthcare organisations, to develop strategic competency plans and educational programmes for healthcare leaders.

This study reveals a lack of consensus regarding the use and understanding of the concept of competence, and that key competencies addressed in the included papers are described vastly different in terms of what knowledge, skills and abilities they entail. This challenges the operationalisation of healthcare services leadership competencies. The proposed framework for healthcare services leadership competencies offers a common understanding of work-related competencies and a possibility to analyse key leadership competencies based on a holistic framework.

Develop a comprehensive framework for assessing the knowledge organization systems (KOSs), including the taxonomy of Wikipedia and the ontologies of Wikidata, with a specific focus on enhancing management and retrieval with a gender nonbinary perspective.

This study employs heuristic and inspection methods to assess Wikipedia’s KOS, ensuring compliance with international standards. It evaluates the efficiency of retrieving non-masculine gender-related articles using the Catalan Wikipedian category scheme, identifying limitations. Additionally, a novel assessment of Wikidata ontologies examines their structure and coverage of gender-related properties, comparing them to Wikipedia’s taxonomy for advantages and enhancements.

This study evaluates Wikipedia’s taxonomy and Wikidata’s ontologies, establishing evaluation criteria for gender-based categorization and exploring their structural effectiveness. The evaluation process suggests that Wikidata ontologies may offer a viable solution to address Wikipedia’s categorization challenges.

The assessment of Wikipedia categories (taxonomy) based on KOS standards leads to the conclusion that there is ample room for improvement, not only in matters concerning gender identity but also in the overall KOS to enhance search and retrieval for users. These findings bear relevance for the design of tools to support information retrieval on knowledge-rich websites, as they assist users in exploring topics and concepts.

The purpose of this study was to examine the boundary conditions of Kanter's (1977) tokenism theory as applied to the gender wage gap. The authors aimed to discover if there was a point where the relationship between the percentage of women in a job category and the gender wage gap changed, and, if so, where the threshold was located and what was the nature of the shift in relationship.

The authors used the Andrews’ (1993) threshold effects technique. Using 22 separate years of publicly available Canadian wage data, they examined the relationship between the percentage of females in 40 unique occupational categories and the female-to-male earnings ratio (for a total of 880 observations).

The results showed the existence of a threshold point, and that early gains in percent female within an occupation, up to approximately 14% female in the occupation, associate with strong gains in the female-to-male wage ratio. However, beyond that point, further gains in percent female associate with smaller improvements in the female-to-male wage ratio.

The findings are useful in understanding the dynamics of occupational group gender composition, potential theoretical reasons for the nuances in relationship, as well as opportunities that may facilitate more equitable outcomes.

The results show that, though improvements were made above and below the threshold point, enhancements in the wage gap are actually larger when there are less women in the job category (e.g. tokens).

This study aims to propose an integrated model involving concepts of sustainability and social innovation (SI) in higher education institutions (HEIs).

Based on a literature review, the authors were able to systematize sustainability and SI knowledge, in an integrated manner. Hence, the authors sought to develop a theoretical model that would integrate categories, indicators and sub-indicators, to review initiatives in HEIs in the sustainability and SI domains. The results indicated four major categories: mission, vision and values; curriculum; campus; and healthy environment. The integrated model was applied and validated in a Brazilian educational group, using the main corporate reports as data sources.

For the educational group analyzed in this study, the themes of sustainability and SI are explicitly and implicitly expressed in the mission, vision and values category. In the curriculum category, these themes are presented through the contents of cross-disciplines in all undergraduate courses, and also through outreach activities, integrating sustainability and SI in a theoretical and/or practical way. Regarding the campus category, the mention is explicit and the HEI works with initiatives aimed at achieving a “green” campus. In the healthy environment category, the educational group studied gives priority to the establishment of a safe and healthy work environment, focusing on labor rights and relations with society.

This work contributes to the advancement of research on the promotion of sustainability and SI in HEIs, proposing an innovative integrated model of analysis for the topics covered.

Multiple topics often exist on social media platforms that compete for users' attention. To explore how users’ attention transfers in the context of multitopic competition can help us understand the development pattern of the public attention.

This study proposes the prediction model for the attention transfer behavior of social media users in the context of multitopic competition and reveals the important influencing factors of users' attention transfer. Microblogging features are selected from the dimensions of users, time, topics and competitiveness. The microblogging posts on eight topic categories from Sina Weibo, the most popular microblogging platform in China, are used for empirical analysis. A novel indicator named transfer tendency of a feature value is proposed to identify the important factors for attention transfer.

The accuracy of the prediction model based on Light GBM reaches 91%. It is found that user features are the most important for the attention transfer of microblogging users among all the features. The conditions of attention transfer in all aspects are also revealed.

The findings can help governments and enterprises understand the competition mechanism among multiple topics and improve their ability to cope with public opinions in the complex environment.

The effects of the spread of COVID-19 across the world are devastating, both from a health and an economic perspective. However, we also see encouraging examples of collaborative and innovative initiatives, in society and in organizations. The purpose of this paper is to focus on initiatives related to digital business model innovation. The authors explore how organizational characteristics provide a variety of opportunities for digital responses to the COVID-19 pandemic and discuss the potential consequences for the speed of digital transformation in organizations and society.

In this paper, the authors analyze how organizations attempt to mitigate the negative effects of fighting COVID-19 using digital business model responses. The authors draw on a qualitative study where they have collected data from the retail and service industries. They have analyzed the data in relation to theory to better understand this ongoing phenomenon.

The authors have identified four categories of organizations (crisispreneurs, accelerators, endurers and thrivers). Each category faces different challenges and shows a different intensity in their digital transformation. The authors propose that the rapid turn toward digital business models will have enduring effects, as organizations have gained transformational capabilities that will remain, and that the digital trajectory has, as a result, changed forever.

The findings in this paper point toward new challenges for leaders and policymakers in terms of how to support initiatives and meet the needs of different categories of organizations while simultaneously being conscious of the potential societal effects of this rapid digital shift. The authors hope that this paper can be of value for managing this shock and learning how to adapt for the future taking certain aspects of current business models as the departure point.

Every year, millions of consumers around the world become victims of credit card fraud. These individuals have to appeal to their credit card companies to reverse unauthorized charges. This study aims to profile the American consumers’ experience when complaints to their credit card companies about unauthorized charges fail to produce a resolution. Using a large database of consumer complaint filings with the Consumer Financial Protection Bureau (CFPB), the characteristics of these consumer complaints are identified, and the drivers of consumer financial hardship resulting from credit card fraud are determined.

A random sample of consumer complaints about their credit card companies’ perceived mishandling of cases, filed with the CFPB, is used to conduct content analysis. The resulting content analysis categories are used in a predictive model to determine the drivers of consumer hardship.

In nearly one-quarter of all complaint filings, the credit card company had blamed the complainant as the party responsible for the fraudulent charges or refused to open a fraud investigation altogether. Nearly 60% of complaint reports contain expressions of emotional distress and many mention financial hardship. Nearly half of all complainants consider the fraud department operations of their credit card company as lacking in service quality, many reporting inability to reach the department or to receive a returned call. Even after CFPB intermediation, only 15% of complainants receive some form of financial relief from their credit card company. The majority of the complainants report a lack of willingness by the credit card company to reverse unauathorized charges, leaving the complainant financially responsible for them.

This study focused on data collected from consumers. Future research can expand the scope of inquiry by surveying the staff and executives in the fraud investigation departments of credit card companies to determine the norms of fraud investigation used within the industry.

This study sheds light on the financial hardship and emotional pains that consumers victimized by credit card fraud experience in dealing with their credit card companies.

To the best of the authors’ knowledge, this is the first study to empirically examine American consumers’ complaints about the fraud investigation operations of their credit card companies. Using data captured through the complaint filing system of a federal bureau (CFPB), the findings have implications for policymakers, regulators and credit card companies.

As healthcare continues to become more expensive and complex, considering the voice of the patient in the design and operation of healthcare practices is important. Wound care and rural healthcare scenarios pose additional complexities for providers and patients. This study sought to identify key determinants of patient service quality in wound care.

Patients at the wound care/ostomy clinic (WOC) in a rural hospital were surveyed using the Kano model. The Kano model enables the categorization of quality attributes based on the attributes' contribution to the subject's overall satisfaction (and dissatisfaction). Chi-square goodness-of-fit testing, multinomial analysis and power analysis were then used to determine the Kano categories for each satisfaction-related attribute.

The analyses resulted in 14 one-dimensional attributes and 3 indeterminable attributes. For the one-dimensional attributes, customer satisfaction is directly proportional to the level of performance for that attribute. The one-dimensional attributes included providing correct care on the first, provision of necessary supplies for care, appropriately qualified medical staff and confidence in care provided by medical staff, among others. Understanding the attributes important to the patient drive patient-centered care, which improves positive patient outcomes and recovery. These attributes can then be used by healthcare professionals to design patient-centric processes and services. This research provides a framework for incorporating the voice of the patient into healthcare services.

While the research methodology can be used in other healthcare settings, the findings are not generalizable to other wound care clinics. This research was conducted in one small, rural hospital. In addition, the sample size was small due to the size of the wound clinic; therefore, an analysis of the differences between demographics could not be performed.

Considering the perspectives of rural wound care patients is important, as the patients are an under-served population with unique challenges related to patient care. The research findings detail rural patients' expectations during wound care treatments, which enable the clinic to focus on improving patient satisfaction. This research contributes to understanding the factors that are important to patient satisfaction in wound care. Further, the methodology presented can be applied to other healthcare settings.

While studies exist using the Kano model in healthcare and the literature is sparse in rural healthcare, this is the first case study using the Kano model in wound care to understand patient preferences.

This study examined the characteristics, motivations and satisfaction of volunteers for the Cincinnati Flying Pig Marathon Weekend across a 10-year period. The purpose was to enhance our understanding of sport event volunteers, especially in the long term. This information and insight may be useful in light of ongoing challenges with volunteer recruitment and retention, which have been exacerbated by the COVID-19 pandemic.

The authors developed and implemented an online survey, based primarily on the Special Event Volunteer Motivation Scale (SEVMS) and the Volunteer Motivations Scale for International Sporting Events (VMS-ISE). The sample included a total of 2,038 respondents – 1,086 in 2012 and 952 in 2022. Quantitative data were analyzed using descriptive statistics and Chi-square tests; qualitative data provided additional insight.

About two-thirds of 2022 survey respondents were “repeat volunteers.” Volunteer characteristics, motivations and satisfaction remained relatively consistent across the 10-year period. These volunteers were motivated by a set of multiple, interrelated factors which the authors call “community-based altruism” – that is, the desire to help others driven by a sense of community involvement and pride. In both years, more than 90% were satisfied with their volunteer experience. Satisfaction was higher for individuals with certain characteristics such as being a repeat volunteer and volunteering with a group.

This may be the first scholarly article to assess volunteer characteristics, motivations and satisfaction for a major sport event in the same location across multiple years. While it focused on a three-day running event in a midwestern city in the United States, the approach and findings may be applicable to sport event volunteers in other contexts.