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Purpose: The study aims to explore the wider acceptance of blockchain technology and growing faith in this technology among all business domains to mitigate the chances of fraud in various sectors.

Design/Methodology/Approach: The authors focus on studies conducted during 2015–2022 using keywords such as blockchain, fraud detection and financial domain for Systematic Literature Review (SLR). The SLR approach entails two databases, namely, Scopus and IEEE Xplore, to seek relevant articles covering the effectiveness of blockchain technology in controlling financial fraud.

Findings: The findings of the research explored different types of business domains using blockchains in detecting fraud. They examined their effectiveness in other sectors such as insurance, banks, online transactions, real estate, credit card usage, etc.

Practical Implications: The results of this research highlight (1) the real-life applications of blockchain technology to secure the gateway for online transactions; (2) people from diverse backgrounds with different business objectives can strongly rely on blockchains to prevent fraud.

Originality/Value: The SLR conducted in this study assists in the identification of future avenues with practical implications, making researchers aware of the work so far carried out for checking the effectiveness of blockchain; however, it does not ignore the possibility of zero to less effectiveness in some businesses which is yet to be explored.

While there is research that has explored how institutions have responded to various crises, these are usually locally or regionally situated. However, no event has impacted higher education globally like COVID-19 and it will certainly alter the way top administrators lead and how institutions move forward. Thus, this chapter will explore how to better understand how presidents and top administrators navigate the (inter)national geopolitics as they move the institution forward. In addition, clear and up-to-date communication has proven to be important in battling this crisis. Thus, how presidents at national universities have communicated with students, faculty, staff, and various off-campus communities members regarding COVID-19 and how they have achieved is important to explore. Our findings suggest that presidents and top administrators need to build support to help them navigate the political roadblocks they may encounter. Findings also suggest that communication is the main role they play as leaders on their campus. On/off-campus community members see the presidents as the face of the university and key communicator as relates to communicating what the institutions is doing and how they are addressing the crisis. This chapter helps in better understanding the roles presidents and top administrators play during a global crisis.

The malfunction variables of power stations are related to the areas of weather, physical structure, control and load behaviour. To predict temporal power failure is difficult due to their unpredictable characteristics. As high accuracy is normally required, the estimation of failures of short-term temporal prediction is highly difficult. This study presents a method for converting stochastic behaviour into a stable pattern, which can subsequently be used in a short-term estimator. For this conversion, K-means clustering is employed, followed by Long-Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) algorithms are used to perform the Short-term estimation. The environment, the operation and the generated signal factors are all simulated using mathematical models. Weather parameters and load samples have been collected as part of a data set. Monte-Carlo simulation using MATLAB programming has been used to conduct experimental estimation of failures. The estimated failures of the experiment are then compared with the actual system temporal failures and found to be in good match. Therefore, for any future power grid, there is a testbed ready to estimate the future failures.

Research concerning the inclusion of individuals with disabilities in tourism activities began long before this field of study was formally named. This has led scholars to use a variety of expressions to refer to what is now known as accessible tourism (AT). Given that this diversity of terms can complicate locating relevant publications, this paper aims to examine the terminology used in the context of AT.

This study conducts an exhaustive literature review and a statistical analysis of 613 documents collected from Scopus, published between 1984 and 2022.

The results suggest that, despite the widespread use of “Accessible Tourism” in recent literature, most papers published before 2010 cannot be retrieved using this term. Additionally, the longitudinal analysis of scientific production revealed four distinct stages based on the number of annual publications.

This paper has limitations that could inspire future studies, such as relying solely on Scopus for data collection, including only academic papers, limiting the number of references and narrowing the search to specific terms. Future investigations could compare these findings using a greater amount of data collected from other databases (e.g. Google Scholar), including non-academic writings (e.g. newspapers and Webpages), exploring the efficiency of different search strategies (e.g. silver market) and delving deeper into the evolution of the AT discourse in society.

Policymakers and tourism stakeholders can leverage the insights of this paper to standardise their vocabulary in communication and operational strategies. Scholars can enhance the efficiency of literature searches and develop new lines of knowledge inspired by terms traditionally used to refer to AT.

This paper encourages continued investigation into AT and underscores the importance of language in developing a more inclusive society.

This research pioneers the analysis of the evolution of AT synonymy by years, nations and authors. It provides evidence of how linguistic choices reflect changes in the social understanding of disability. This study proposes a framework to distinguish AT from other tourism models, facilitating unified communication among stakeholders. It presents strategies to improve efficiency in locating studies in the AT area and advocates for an inclusive society that uses language respectful to all individuals.

本研究对从Scopus收集的1984年至2022年间发表的613篇文献进行了详尽的文献回顾和统计分析。

关于将残疾人纳入旅游活动的研究早在这一研究领域正式命名之前就开始了。这导致学者们使用各种各样的表达来指代现在被称为无障碍旅游(AT)的概念。鉴于这种术语的多样性会使相关出版物的定位复杂化, 本文旨在研究AT语境中使用的术语。

结果表明, 尽管“无障碍旅游”在最近的文献中被广泛使用, 但2010年之前发表的大多数文章都无法使用该术语进行检索。此外, 科学产出的纵向分析显示, 基于年度出版物的数量, 有四个不同的阶段。

这篇论文有一些局限可启发未来的研究, 比如仅仅依靠Scopus进行数据收集, 只包括学术论文, 限制参考文献的数量, 将搜索范围缩小到特定的术语。未来的调查可以使用从其他数据库(如Google Scholar), 包括非学术著作(如报纸、网页), 收集的大量数据来比较这些发现, 探索不同搜索策略(如白银市场)的效率, 并更深入地研究AT话语在社会中的演变。

政策制定者和旅游业利益相关者可以利用本文见解来标准化他们在表达和操作策略中的词汇。学者们可以提高文献检索的效率, 并从传统上用于指AT的术语启发中建立新的知识线。

本文鼓励继续研究无障碍旅游, 并强调语言在发展更具包容性的社会中的重要性。

这项研究是对AT同义词的年代、国家和作者的演变进行分析的开创。它为语言选择如何反映社会对残疾理解的变化提供了证据。本研究提出了一个AT有别于与其他旅游模式的框架, 促进利益相关者之间的统一沟通。它提出了提高AT领域定位效率研究的策略, 并倡导建立一个尊重所有个人的语言的包容的社会。

La investigación relativa a la inclusión de las personas con discapacidad en las actividades turísticas comenzó mucho antes de que se diera un nombre formal a este campo de estudio. Esto ha llevado a los estudiosos a utilizar una gran variedad de expresiones para referirse a lo que ahora se conoce como Turismo Accesible (TA). Dado que esta diversidad de términos puede complicar la localización de publicaciones relevantes, este artículo pretende examinar la terminología utilizada en el contexto del TA.

Este estudio realiza una revisión exhaustiva de la literatura y un análisis estadístico de 613 documentos recopilados de Scopus, publicados entre 1984 y 2022.

Los resultados sugieren que, a pesar del uso generalizado de “Turismo Accesible” en la literatura reciente, la mayoría de los artículos publicados antes de 2010 no pueden recuperarse utilizando este término. Además, el análisis longitudinal de la producción científica reveló cuatro etapas distintas en función del número de publicaciones anuales.

Este trabajo tiene limitaciones que podrían inspirar futuros estudios, como basarse únicamente en Scopus para la recopilación de datos, incluir sólo artículos académicos, limitar el número de referencias y restringir la búsqueda a términos específicos. Futuras investigaciones podrían comparar estos Resultados utilizando una mayor cantidad de datos recogidos en otras bases de datos (por ejemplo, Google Scholar), incluyendo escritos no académicos (por ejemplo, periódicos, páginas web), explorando la eficacia de diferentes estrategias de búsqueda (por ejemplo, el mercado plateado) y profundizando en la evolución del discurso del TA en la sociedad.

Los responsables políticos y las partes interesadas en el turismo pueden aprovechar las ideas de este documento para normalizar su vocabulario en las estrategias de comunicación y operativas. Los estudiosos pueden mejorar la eficacia de las búsquedas bibliográficas y desarrollar nuevas líneas de conocimiento inspiradas en los términos utilizados tradicionalmente para referirse al TA.

Este artículo anima a seguir investigando sobre el turismo accesible y subraya la importancia del lenguaje en el desarrollo de una sociedad más inclusiva.

Esta investigación es pionera en el análisis de la evolución de la sinonimia del TA por años, naciones y autores. Aporta pruebas de cómo las elecciones lingüísticas reflejan los cambios en la comprensión social de la discapacidad. Este estudio propone un marco para distinguir la TA de otros modelos turísticos, facilitando la comunicación unificada entre las partes interesadas. Presenta estrategias para mejorar la eficacia en la localización de estudios en el ámbito de las TA y aboga por una sociedad inclusiva que utilice un lenguaje respetuoso con todas las personas.

This paper aims to examine the unique Chinese context by analyzing the city labels (e.g. smart city and eco city) used by Chinese local governments at or above the provincial capital level to represent themselves (adopted city labels) and the developmental pathways they actually pursued (adopted developmental pathways).

The authors compared the city brand choices to those anticipated based on their geographic and economic contexts (predicted city labels and developmental pathways) as well as the directives outlined in national planning documents (imposed city labels and developmental pathways). The authors identified ten main categories of city labels used to designate themselves and establish the frequency of their use based on municipal plan documents, economic and geographic data and national plan documents and policy reports, respectively.

The authors discovered that both local economic development and geographic factors, as well as top-down administrative influences, significantly impact city branding strategies in the 38 Chinese cities studied. When these models fall short in predicting adopted city labels and pathways, it is often because cities favor a service-oriented reputation over a manufacturing-focused one, and they prefer diverse, multifaceted industrial images to uniform ones.

The originality and value of this paper lie in its contribution to the academic literature on city branding by developing a predictive model for brand development at the municipal level, with explicit attention to the national-local nexus. The paper’s approach differs from existing research in the first cluster of city branding by not addressing issues of stakeholder involvement or adoption and implementation processes. Additionally, the paper’s focus on the political power dynamics at the national level and urban governance details at the municipal level provides a unique perspective on the topic. Overall, this paper provides a valuable contribution to the field of city branding by expanding the understanding of brand development and its impact on the socioeconomic environment.

The rapid advancement of technology has transformed the health-care industry and enabled the emergence of m-Health solutions such as health apps. The viability and success of these apps depends on the definition of a monetization model appropriate to their specificities. In this sense, the purpose of this paper is to study the mechanisms of monetization of health apps, to stablish how alternative revenues determine if a health app is to be free or paid.

Probability models are used to identify the factors that explain if a health app is free or paid.

Results show that the presence of alternative monetization mechanisms negatively impacts the likelihood of a health app being paid for. The use of personal data to customize advertising (the monetization of “privacy capital”) or the inclusion of ads on the app are alternative means of monetization with potential to decrease the likelihood of a health app being paid for. The possibility of in-app purchases has a lower negative impact on the probability of a health app being paid for. The choice of platform to commercialize an app is also a strategic decision that influences the likelihood of an app being paid for.

This work stands out for bringing together the two largest platforms present in Portugal and for focusing on the perspective of revenue and monetization of health apps and not on the perspective of downloads.

This paper reviews existing research to understand when, how and with what results robotic process automation (RPA) is implemented by organizations.

The authors have identified 84 sources across eight databases and have analyzed them through the lens of a context–intervention–mechanism–outcomes framework (CIMO). The CIMO analysis maps the contextual drivers, intervention approaches and value related outcomes associated with RPA implementation.

The result of the analysis is the identification of four mechanisms explaining the approach organizations take to implement RPA: digitizing business processes, performing knowledge work together with humans, replacing outsourcing with RPA robots and developing a new business model. Therefore, in this paper, in order to reduce RPA literature fragmentation, the authors take into account the digital transformation (DT) perspective, by considering RPA as one example of digital technology.

This study sensitize organizational adopters to the different mechanisms they can deploy to conduct RPA implementations to achieve different desired outcomes in response to different drivers. Moreover, having a clear picture of the key enablers and associated barriers to the realization of these alternative paths serve as a useful map to guide the implementation process.

The findings contribute to DT research by conceptualizing these mechanisms through which organizations deploy automation tools—such as RPA.

The purpose of this study is to explore knowledge management (KM) initiatives for achieving sustainable development goal (SDG) 4.7 and to investigate enablers and barriers to insert KM to prepare higher education institutions (HEIs) ready to contribute to SDGs’ performance. At the end, this paper provides a practical perspective of KM initiatives for higher education for sustainable development (HESD).

This is an exploratory study. It applies a descriptive-interpretative-qualitative approach. The analysis is based on the opinions collected from 170 HEIs’ stakeholders. Discussions among participants have been organized through zoom meetings, telephone interviews and focus group discussions in three phases. In the first phase, a total of 113 informants took part in the discussion on various dates. In the second phase, 10 interviews were conducted with university officials using three open-ended questions; and in the third phase, three focus group discussions were organized to interact about the effectiveness of the Masters in Business Administration in Global Leadership and Management programme and curriculum with teachers, students and the programme initiators.

From the analysis of stakeholders’ views, it appears that Nepalese HEIs have yet to move forward with integrating KM activities into their aims, structure and functions to address the government’s policy guidelines applicable to maximizing SDG’ performance. A KM cultural framework that values intellectual capital is urgently needed to fill the knowledge-doing gap for the benefit of society. HEIs appear to require multidisciplinary teaching, learning and research methods to play a civic role in society. They have to improve their rules and regulation, develop a boundary-spanning structure from a conventional structure and apply KM initiatives to support achieving SDGs’ performance. Understanding and inculcating these initiatives in the academic programmes could provide a value-adding higher education in the country.

This paper is entirely based on the perspectives of stakeholders in higher education. So, understanding their points of view and perspectives may have resulted in vague explanations. Furthermore, because the setting of Nepal’s HEIs differs from that of developed countries, the results should only be interpreted in Nepalese contexts.

This paper acknowledges the gaps and complexities in Nepalese HEIs from the standpoints of HEIs’ leaders, teachers and students for the application of KM initiatives to reform HEIs, with HESD in consideration, and enhance SDGs’ performance.

To the best of the authors’ knowledge, the paper is the first of its kind in the context of Nepal, exploring KM initiatives for SDGs. It provides a new perspective on KM and comprehends KM initiatives in the case of Nepalese HEIs transformation into HESD for achieving SDG 4.7.

Knowledge protection (KP) is one of the main knowledge management (KM) processes that aim to protect the organization’s knowledge from any inside and outside force leakage. In higher education institutions (HEIs), KP is rarely being discussed and covered in contrast to knowledge sharing (KS) in terms of its determinants. The purpose of this paper is to provide a deep analysis of previous research articles from 1980 to 2019 and examine the associated institutional factors on KP determinants within HEIs as a research objective.

The preferred reporting items for systematic reviews and meta-analysis was a well-established approach for analyzing the systematic literature review methodology. Several articles were published over the past decades collected from 5 different databases, but after the screening, 101 articles were reviewed and only 22 articles were relevant to the research objective.

The findings indicated that KP is under academic research topic in KM and has received minimal attention in HEIs compared to KS, which has been frequently studied in HEIs. The literature categorized KP determinants into four areas: technological, organizational structure, behavioral and ethics and organizational culture. It will open the door for academics to investigate further into the factors, theories and models of KP in general and HEIs from a particular perspective.

As evident from the paper finds, with few pieces of literature covered in this topic, HEIs have to protect the knowledge from any illegal usage or any expert’s knowledge loss after leaving the institutions. This study can help university leaders to understand how the different KP determinants can maximize KP without affecting the KS and develop the KP phenomenon for a strategic fit to enhance their institutions’ safe knowledge usage.

This is the first research of its type which has extensively examined the literature on KP related to HEIs. Also, this paper provides theoretical and practical insights through understanding the determinants that affect KP practices among academic staff.

The integration of artificial intelligence (AI) technologies like conversational AI and HR chatbots in international human resource development (HRD) presents both productivity benefits and ethical challenges. This study aims to examine the ethical dimensions of AI-driven HR chatbots, emphasizing the need for fairness, autonomy and nondiscrimination. It discusses inherent biases in AI systems and addresses linguistic, cultural and accessibility issues. The paper advocates for a comprehensive risk assessment approach to guide ethical integration, proposing a “risk management by design” framework. By embracing ethical principles and robust risk management strategies, organizations can navigate AI-driven HR technologies while upholding fairness and equity in global workforce management.

Systematic literature review.

The paper advocates for a comprehensive risk assessment approach to guide ethical integration, proposing a “risk management by design” framework.

By embracing ethical principles and robust risk management strategies, organizations can navigate AI-driven HR technologies while upholding fairness and equity in global workforce management.

This study explores the intricate ethical landscape surrounding AI-driven HR chatbots, spotlighting the imperatives of fairness, autonomy, and nondiscrimination. Uncovering biases inherent in AI systems, it addresses linguistic, cultural, and accessibility concerns. Proposing a pioneering “risk management by design” framework, the study advocates for a holistic approach to ethical integration, ensuring organizations navigate the complexities of AI-driven HR technologies while prioritizing fairness and equity in global workforce management.