Core Attributes Research Articles

Developing the Next Generation of Nursing Disciplinary Leaders in Higher Education: Protocol for a Sequential Mixed Methods Study.

Leading nurse education and research in the higher education (HE) sector has become increasingly challenging over the last decade with many universities in Australia and New Zealand having undergone academic restructuring. The future of HE faces many challenges including recruitment of suitably qualified staff to lead teaching and research and advance professional disciplines. Increasing cultural diversity of the Nursing workforce and the communities' nurses serve, and the identification of cultural attributes in the context of racial inequities exposed by the pandemic and the climate emergency suggest different forms of leadership may be required in the future by those leading nurse education in the HE sector. Currently, there is a dearth of research evidence that identifies the qualities, behaviors, and characteristics (collectively identified as core attributes) required by nurse academic leaders. This research aims to identify an evidenced based set of core attributes that are required to lead the discipline of Nursing in the Australian and New Zealand HE sectors. This research is using a 2-phase sequential mixed methods design incorporating a scoping review; and Delphi technique. In phase 1, a scoping review will be undertaken to identify the qualities, behaviors, and characteristics that can influence the evolution of the next generation of academic nurse leaders. A set of draft statements and questions will be prepared based on analysis of findings from the review. Phase 2 uses Delphi technique consisting of e-survey rounds with experts in leading nursing faculties in Australia and New Zealand. An Expert Advisory Group will consider the initial set of draft statements and questions from phase 1. Consistent with Delphi technique, a series of "rounds" will then occur using an e-survey method. Established leaders (Professors and Associate Professors who are members of the Council of Deans Australia and New Zealand) will rate their level of agreement to statements on the qualities, behaviors, and characteristics required to lead the discipline of nursing in the HE sector in Australia and New Zealand. The findings of the scoping review will identify what is currently known about the qualities, behaviors, and characteristics of academic nurse leaders. Quantitative and qualitative results from the Delphi study will initially be reported in separate manuscripts for publication. It is projected that a final paper will be prepared from aggregated research data and outline how the findings can inform the preparation of future academic nurse leaders. The generation of an evidenced-based set of core attributes will serve to inform the next generation of academic nurse leaders including informing recruitment processes and postgraduate nurse leadership programs. It is anticipated that the data sets and findings will be transferrable to other disciplines within HE to aid in future-proofing discipline-based expertise and leadership in the context of academic restructure. PRR1-10.2196/40677.

Urban design strategies fostering creative workers' sense of identity in creative and cultural districts in East Asia: An integrated knowledge-driven approach

In recent years, many cultural districts have become increasingly unsustainable due to the neglect of physical environment quality. Hence, researchers have thoroughly investigated the close relationship between the physical environment quality of cultural districts and creative workers' sense of identity in creative and cultural districts (CCDs). However, few studies have clarified the complex relationship between physical environment factors and creative workers' sense of identity from a systematic perspective. Therefore, this study aims to establish a hybrid multiple-criteria decision-making (MCDM) model to identify the relationship between physical environment factors and creative workers' sense of identity using an integrated knowledge-driven approach that combines the rough set approach (RSA) and the decision-making trial and evaluation laboratory (DEMATEL) method. A total of 81 CCD cases in East Asia were selected to validate the proposed hybrid MCDM model. As result, through RSA, four core attributes that can help creative workers to form a sense of identity in CCDs were extracted, they are the quality of public art, the order and cleanliness of the building facade, the open spaces supporting social activities and the green beautification degree and characteristics. Then, 23 rules (If…Then…) were established. Additionally, through DEMATEL, the dominant influence relationships among these attributes were clarified based on expert knowledge. A “decision path map” driven by the “integrated knowledge” was developed, which can contribute to formulating and implementing strategies for systematically improving the physical environments of CCDs and consequently fostering creative workers' sense of identity. Specifically, our results show that project managers and designers pay attention to maintaining the authenticity of historical buildings in CCDs and focus on creating appropriate color environments and personalized private spaces based on the audience's aesthetic preferences and private habits to evoke a sense of local identity and belonging in creative workers.

Defining attributes of boutique hotels: a systematic literature review

PurposeBoutique 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.Design/methodology/approachTo 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.FindingsThe 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.Practical implicationsFor 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.Originality/valueThis paper represents one of the initial efforts undertaken by researchers to unify the literature on boutique hotels.

Destination image: a consumer-based, big data-enabled approach

Diseño/metodología/enfoqueSe realizó un análisis de contenido en redes sociales para explorar la estructura de la imagen de los destinos por parte de los consumidores basándose en las descripciones en línea. A continuación, se empleó el análisis de clusters para agrupar los destinos por atributos, estableciendo comparaciones mediante el análisis ANOVA.PropósitoLos propósitos de esta investigación eran utilizar un enfoque ascendente e inductivo para obtener atributos de imagen de los destinos a partir de grandes cantidades de descripciones de consumidores en línea, y establecer un sistema de clasificación de destinos basado en las relaciones entre atributos y lugares.ResultadosSe identificaron 22 atributos que luego se agruparon en tres grupos (principales, esperados, latentes). Los destinos se clasificaron en tres grupos (urbano integral, paisajístico y de estilo de vida) en función de sus centralidades de red. Utilizando datos sobre el turismo chino, se determinó que los atributos (centrales) más mencionados eran el paisaje, el tráfico dentro del destino, la comida y las bebidas, y las atracciones basadas en los recursos. La vida social era importante en los comentarios de los consumidores, pero a menudo los investigadores la pasaban por alto.Implicaciones prácticasLos destinos deberían determinar a qué categoría pertenecen y luego apelar a las necesidades reales de los turistas. Los DMO deberían proporcionar los atributos esenciales prestando mayor atención a resaltar el entorno de vida social de los destinos.Originalidad/valorEsta investigación elaboró un trabajo empírico sobre el turismo chino combinando un diseño de investigación inductiva ascendente con big data. Dividió los 49 destinos en tres categorías y estableció un nuevo sistema basado en los grandes datos para clasificar los destinos turísticos.

Interactions of pathogenic Escherichia coli with CEACAMs.

The pathogenic Escherichia coli can be parsed into specific variants (pathovars) depending on their phenotypic behavior and/or expression of specific virulence factors. These pathogens are built around chromosomally-encoded core attributes and through acquisition of specific virulence genes that direct their interaction with the host. Engagement of E. coli pathovars with CEACAMs is determined both by core elements common to all E. coli as well as extrachromosomally-encoded pathovar-specific virulence traits, which target amino terminal immunoglobulin variable-like (IgV) regions of CEACAMs. Emerging data suggests that engagement of CEACAMs does not unilaterally benefit the pathogen and that these interactions may also provide an avenue for pathogen elimination.

A Collaborative Metaverse based A-La-Carte Framework for Tertiary Education (CO-MATE)

The paper aims to propose a futuristic educational and learning framework called CO-MATE (Collaborative Metaverse-based A-La-Carte Framework for Tertiary Education). The architectural framework of CO-MATE was conceptualized in a four-layered approach which depicts various infrastructure and service layer functionalities. CO-MATE is a technologically driven educational metaverse environment involving loosely coupled building blocks to provide an a-la-carte model for platform designers. For this, the authors had undertaken a systematic mapping study of the pre/post-COVID period to review the application of various emerging technologies. Further, the paper also discusses the core attributes and component offerings of CO-MATE for a technology-driven and automated immersive-learning environment and exemplifies the same through various use cases.

A Textual Data-Oriented Method for Doctor Selection in Online Health Communities

As doctor–patient interactive platforms, online health communities (OHCs) offer patients massive information including doctor basic information and online patient reviews. However, how to develop a systematic framework for doctor selection in OHCs according to doctor basic information and online patient reviews is a challenged issue, which will be explored in this study. For doctor basic information, we define the quantification method and aggregate them to characterize relative influence of doctors. For online patient reviews, data analysis techniques (i.e., topics extraction and sentiment analysis) are used to mine the core attributes and evaluations. Subsequently, frequency weights and position weights are respectively determined by a frequency-oriented formula and a position score-based formula, which are integrated to obtain the final importance of attributes. Probabilistic linguistic-prospect theory-multiplicative multiobjective optimization by ratio analysis (PL-PT-MULTIMOORA) is proposed to analyze patient satisfactions on doctors. Finally, selection rules are made according to doctor influence and patient satisfactions so as to choose optimal and suboptimal doctors for rational or emotional patients. The designed textual data-driven method is successfully applied to analyze doctors from Haodf.com and some suggestions are given to help patients pick out optimal and suboptimal doctors.

Patients' choice preferences for specialist outpatient online consultations: A discrete choice experiment.

Internet hospitals are multiplying with solid support from the Chinese government. In internet hospitals, specialist outpatient online consultations (SOOC) are the primary services. However, the acceptance and utilization rates of this service are still low. Thus, the study of patients' choice preferences for SOOC is needed. To analyze the choice preference of patients' SOOC via a discrete choice experiment, understand the influence of each factor and promote the development of internet hospitals. Via a discrete selection experiment, a total of 162 patients from two general hospitals and three specialized hospitals in Beijing were selected for the questionnaire survey. The choice preferences were analyzed by conditional logit regression. From high to low, patients' willingness to pay (WTP) for the attributes of SOOC is as follows: doctors' recommendation rate (β highly recommend = 0.999), the convenience of applying SOOC services (β Convenient = 0.760), the increasing ratio of medical insurance payment for online services compared to offline (β Increase by 10% = 0.545), and the disease's severity (β severe = -3.024). The results of the subgroup analysis showed differences in patient choice preference by age, whether the patients had chronic diseases, income, and medical insurance types. Both price and nonprice attributes influence the choice preference of SOOC for patients. Among them, patients are more inclined to choose SOOC when doctors highly recommend it, when it is convenient to apply, when medical insurance increases by 10%, and when disease severity is mild. The current findings show the government and medical institutions formulate auxiliary policies and welfare strategies by clarifying core attributes and adjusting the levels of different attributes to improve patients' acceptance of SOOC. The utility of SOOC and the further development of internet hospitals are radically promoted.

A Metaverse Maturity Model

The idea of the Metaverse as the next iteration of the internet gets increasing attention. As the development is still in its infancy, maturity assessments of the Metaverse in general and its constituting virtual worlds could provide critical input to guiding research and development as well as investments. Based on a scientific definition of the Metaverse, eight core attributes for its virtual worlds are extracted. For each of these attributes, five maturity levels are defined. Thus, a Metaverse maturity model with eight attributes and five maturity levels is proposed. This model is then applied to assess the maturity of the virtual world Decentraland. This pilot assessment reveals that attributes mainly depending on strategic decisions reach higher maturity levels than those mainly depending on technological aspects. This indicates a solid strategic dedication of Decentraland to the Metaverse vision.

Perspectives: Approaches for Studying Livestock Spermatogonia.

At present, the knowledge base on characteristics and biology of spermatogonia in livestock is limited in comparison to rodents, yet the importance of studying these cells for comparative species analysis and enhancing reproductive capacity in food animals is high. Previous studies have established that although many core attributes of organ physiology and mechanisms governing essential cellular functions are conserved across eutherians, significant differences exist between mice and higher order mammals. In this chapter, we briefly discuss distinguishing aspects of testicular anatomy and the spermatogenic lineage in livestock and critical considerations for studying spermatogonial stem cell biology in these species.

The color shades of leaders in the countries of economic transformation: the case of Poland

Purpose: The aim of the paper is to identify the process of shaping leaders in a transformed Easter European Countries (EEC) like Poland based on the case study in the IT sector. Design/methodology/approach: A research analysis of the world literature on the subject indicates that these issues have yet to be studied from a long-term perspective. In light of the economic system, the author describes the difference and core attributes for emerging leaders. The author uses the case study of the two IT leading companies and their leaders from roots up to final mergers and acquisitions of each other. Findings: The case study shows that in a long-term perspective the key role is played by the founders based on grounded education, experience, embodied entrepreneurship attitudes, ethics, openness for innovations, independence of unclear relations, and mission are crucial to developing with success the company. Research limitations/implications: The research covers only case studies so that it could be extrapolated to prominent players in specific sectors for companies with the activity of more than ten or even 20 years on the market. Practical implications: The research could be used for training or teaching courses related to MBA, postgraduates, or management program study. Based on the review, the other companies can measure the risk with new potential countries in their early stage of new free markets. The leadership model could be duplicated so that marker analysts and decision-makers could conduct an in-depth study about the leaders in certain countries. The in-depth collaborations should have a long-term perspective with a clear and correct leader and/or founder. The students should consider working in companies with solid leadership ethics to build their prospectus careers. Social implications: The public organization and authorities should cooperate and take a donation from ethical companies and leaders. Hiding support from ethical leaders/founders could be taken without obligations. Donations do not mean even PR. Originality/value: This review emphasizes that becoming a leader means possessing skills that should be shaped during education and even socialization. Leaders could cover their unethical behavior or incompetence to became a manager, but it would provide a huge, postponed on time disaster for the company. The paper is addressed to all potential and present leaders, including students, during their study. Keywords: company survival factors, education, leadership, mergers&acquisitions. Category of the paper: Case study, General review.

The Turing Teacher: Identifying core attributes for AI learning in K-12.

Artificial intelligence in the educational domain has many uses; however, using AI specifically to enhance education and teaching in a K-12 environment poses the most significant challenges to its use. Beyond usage and application, the quality of the education is made even more arduous due to the dynamics of teaching primary and secondary school children, whose needs far exceed mere fact recollection. Utilizing prior research using AI in education and online education in the K-12 space, we explore some of the hurdles that AI applications face in K-12 teaching and provide core attributes for a "Turing Teacher," i.e., an AI powered technology for learning, specifically targeting the K-12 space. Using a survey, which included qualitative responses during the implementation of online learning during the Covid Pandemic, we analyze the results using univariate and multivariate tests and analyzed the qualitative responses to create core attributes needed for AI powered teaching technology. The results present the challenges faced by any technology in an education setting and show that AI technology must help overcome negative feelings about technology in education. Further, the core attributes identified in the research must be addressed from the three stakeholder perspectives of teachers, parents and students. We present our findings and lay the groundwork for future research in the area of AI powered education. The Turing Teacher must be able to adapt and collaborate with real teachers and address the varying needs of students. In addition, we explore the use of AI technology as a means to close the digital divide in traditionally disadvantaged communities.

Information enhancement or hindrance? Unveiling the impacts of user-generated photos in online reviews

PurposeThis study aims to investigate the promoting effects of the quantity and quality of online review user-generated photos (UGPs) on perceived review usefulness. The research further tests the hindering effect of human facial presence in review photos on review usefulness.Design/methodology/approachBased on review samples of restaurants in a tourist destination Las Vegas, this study used an integrated method combining a machine learning algorithm and econometric modeling.FindingsResults indicate that the number of UGPs depicting a restaurant’s food, drink, menu and physical environment has positive impacts on perceived review usefulness. The quality of online review UGPs can also enhance perceived review usefulness, whereas facial presence in these UGPs hinders perceived review usefulness.Practical implicationsFindings suggest that practitioners can implement certain tactics to potentially improve consumers’ willingness to share more UGPs and UGPs with higher quality. Review websites could develop image-processing algorithms for identifying and presenting UGPs containing core attributes in prominent positions on the site.Originality/valueTo the best of the authors’ knowledge, this study is the first to present a comprehensive analytical framework investigating the enhancing or hindering roles of review photo quantity, photo quality and facial presence in online review UGPs on review usefulness. Using the heuristic-systematic model as a theoretical foundation, this study verifies the additivity effect and attenuation effect of UGPs’ visual elements on judgements of online review usefulness. Furthermore, it extends scalable image data analysis by adopting a deep transfer learning algorithm in hospitality and tourism.

Curating a Case Catalog: Development and Implementation of a Process for Revising Small Group Teaching Cases for Pre-clerkship Medical Education

Small group, case-based learning (CBL) is an integral component of many pre-clerkship undergraduate medical education (UME) curricula. We report here an institutional process for curating a catalog of CBL cases utilized in a pre-clerkship curriculum, providing a practical guide for faculty. We describe the structured revision process conducted by a team of foundational and clinical science faculty, which incorporates student and faculty feedback. Revisions take into account core attributes of a case catalog, producing a collection of cases that are more relevant and instructional, realistic, challenging, consistent, current, diverse and inclusive, patient-centered, and mission-centered. Measurable outcomes after implementation of this process include increased focus on primary care as well as humanization and diversification of the case patients.

Testing the sensitivity of stated environmental preferences to variations in choice architecture

We conducted a three-way split sample discrete choice experiment (DCE) to investigate welfare estimates for attributes related to the management of coastal cod stocks in Arctic Norway. In a base DCE design, respondents faced three core attributes: (1) coastal cod spawning biomass as an indicator of the sustainability of the cod stocks, (2) stricter regulations on primary user groups (commercial fishers, local recreational anglers, the marine fishing tourism industry), and (3) annual household cost. In two experimentally varied DCE designs, respondents received a fourth attribute that explicitly describes the expansion of the marine fishing tourism industry in the region. In treatment 1, the expansion is represented by the number of coastal cod caught by marine fishing tourists as an indicator of the industry's environmental impact. In treatment 2, the expansion is represented by the number of new jobs as an indicator of the industry's socioeconomic impact. These two attribute translations, designed to be perfectly correlated, serve as an instrument for testing a choice architecture - value activation framework recently proposed in the management science literature. Mixed logit estimation results indicate that welfare estimates vary significantly across choice architectures, both statistically and economically. Additional regression analyses of conditional welfare estimates and respondents' status quo choices yield mixed evidence of value activation. The overall message of the study is that DCE researchers should be cognizant of their role as choice architects when advising public resource managers and policymakers.

Compulsion to consume highly processed foods: addiction or 'para-addiction'.

Compulsion to consume highly processed foods: addiction or 'para-addiction'.

Co-creation experience in travel photography service: exploring the formative mechanism of repurchase intention from the perspective of script theory

ABSTRACT This research aims to clarify the core attributes of travel photography service, and how it may be possible to cultivate tourist loyalty to this service when travelling to the next destination. A mixed method with two studies was conducted to answer these questions. Study 1 adopted semi-structured interviews and thematic analysis to identify the key variables and their potential relations. The results showed that co-creation experience in travel photography was mainly composed of sense seeking, multi-actor interaction, and active participation, which played an extremely important role in tourists’ cognitive memory, service outcome evaluation, and future travel decision-making. To further verify the relationship between variables, study 2 used a survey to explore the formative mechanism and boundary conditions of the co-creation experience on tourist repurchase intention. The results indicated the co-creation experience was positively associated with repurchase intention. Memory recollection and photo satisfaction both mediated this relationship. Inertia positively moderated the relationships between co-creation experience, memory recollection and photo satisfaction on repurchase intention. These effects were stronger when individual inertia was high. This study also provides practical insights into how it may be possible to cultivate travel service loyalty in destination marketing.

빅데이터를 활용한 웰니스 관광에 대한 인식과 태도 분석

This study used big data to conduct text mining and sentiment analysis on individuals' perceptions and attitudes toward wellness tourism. From October 8th, 2018 to October 7th, 2021, web documents containing keywords such as 'wellness tourism' and 'wellness travel' were collected from Naver, Daum, and Google. A total of 23,770 documents were used to analyze keywords frequency, TF-IDF, N-gram, degree centrality, CONCOR, and sentiment analysis after duplicated posts and meaningless words were removed. The findings revealed that the words most frequently appearing and having high TF-IDF values were mentioned in the context of wellness tourism destination selection and development, purposes and types of wellness travel, and information on domestic wellness tourist spots. Words associated with wellness, tourism, tourism destinations, selections, and so on played critical roles in the network, according to degree centrality measures. Six clusters emerged from CONCOR analysis, including core attributes, projects, wellness tourism development, and so on. Finally, sentiment analysis revealed that people had a generally positive impression of wellness tourism. This study contributes to a better understanding of wellness tourism perceptions and aids in the development of marketing strategies to revitalize wellness tourism.

Towards effective semantic annotation for mobile and edge services for Internet-of-Things ecosystems

As a popular and typical representative of services, Web APIs have been widely used to provide mobile and edge services in Internet-of-Things (IoT) ecosystems. As a combination of Web APIs, mashups are also popularly used to provide more complicated services in IoT ecosystems. Tags are one of the core attributes of Web APIs, and semantic annotation or automatic tagging takes a core role in understanding and management of the large volume of services. But currently, semantic annotation heavily relies on manual work and costs a lot of time and human resources. There have been some annotation methods for services, but the existing methods suffer from low accuracy and other problems. In this paper, we propose a neural semantic annotation framework for automatic tagging for mobile and edge services in IoT ecosystems. We propose to accomplish semantic annotation as the multi-label classification problem, and develop an automatic annotation framework based on multi-head self-attention mechanism. We crawled two large real-world datasets and gave a deep analysis of the distributions of annotations. We performed sufficient experiments on the two datasets and the experimental results demonstrate that our framework yields superior performance in semantic annotation for mobile and edge services.

Concept analysis of recovery from substance use.

In this paper, we provide an analysis of the concept of recovery from substance use. We performed a literature search in CINAHL Plus, PsycINFO, MEDLINE, and Embase using key terms that focused on the concept of recovery from substance use. We also conducted a grey literature search and included select resources. Inclusive years for the search ranged from January 1, 2000 to March 10, 2022. Records were screened for eligibility by two independent reviewers; data were extracted by one reviewer and confirmed by a second. A total of 22 literature sources were included. Identified core attributes of recovery include: (i) recovery as a process, (ii) recovery as more than managing substance use, (iii) recovery as life improvements, and (iv) recovery as a person-centred, individual concept. Antecedents, consequences, and empirical referents are identified, and model and contrary cases are presented. We propose the following definition for recovery: Recovery from substance use is defined by the affected individual, who sets goals and objectives for life improvements that include managing their substance use, but this is not the sole focus. Recovery is a person-centred, individualized process that can be measured by referents that suit the individual's own goals and objectives. What may constitute "recovery" and "recovered" requires definition by each individual.