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 High-performance workplace systems (HPWS) have evolved from being mere buzzwords to essential pillars for organisational success. This calls for in – depth examination by both academic scholars and industry professionals. The study aims to offer a comprehensive academic assessment of the significance of HPWS in enhancing human resource management.

In this study, the authors conducted a literature review (bibliometric and content analysis) of 152 peer-reviewed scholarly articles published from 2003 to 2024. This study used Vosviewer software and the bibliometrics package in R software to investigate publishing patterns, influential contributors, themes and topics underpinning HPWS.

The work offers a thorough and insightful examination of the ideas, components and effects of HPWS on businesses and workers. It presents three research fronts that collectively contribute to the understanding of HPWS.

This work emphasises the significance of incorporating high-performance workplace processes to cultivate a culture of excellence and enhance employee engagement. Organisations can use evidence-based strategies identified in the literature to boost performance, promote job satisfaction and retain high-performing employees.

The study applies HPWSs to inform organisational policy development by acknowledging firms’ inherent capabilities and competencies to integrate HPWS effectively. The results serve as compelling evidence for recognising the capacity of HPWS to impact various facets of an organisation.

This study aims to identify Critical Success Factors (CSFs) for tourism route development and proposes a tailored conceptual model. It addresses a comprehensive range of tourism routes, considering their respective goals and performance.

The authors applied a qualitative approach to investigate five tourism routes, interviewing 31 current and former members and examining secondary data from organisational documents. A conceptual model was developed through content analysis of transcripts and secondary data.

Based on the identified CSFs, the model is organised into six components: Product, Goals, Resources, Governance, Activities and Performance assessment.

The study analyses various tourism routes concerning their products, implementation levels, goals, performance and perceived success.

Most respondents are public authorities from European countries. Besides, consideration should be given to developing quantitative research to validate the derived theory.

The model may facilitate participants in enhancing and developing tourism routes, thereby contributing to achieving sustainable development goals related to rural-urban connections and tourism partnerships.

The development of tourism routes is expected to impact socio-economic development in rural/peripheral areas positively.

本研究旨在确定旅游线路开发的关键成功因素 (CSFs), 并提出量身定制的概念模型。本文提出了一系列旅游线路, 考虑了各自的目标和绩效。

我们采用定性方法探究了五条旅游线路, 采访了 31 名现任和前任成员, 并检查了组织文件中的二手数据。通过对记录和二手数据的内容分析, 开发了一个概念模型。

根据识别的关键成功要素, 该模型分为六个部分：产品、目标、资源、治理、活动和绩效评估。

本研究分析了各种旅游线路的产品、实施水平、目标、绩效和感知成功。

大多数受访者是来自欧洲国家的公共当局。此外, 还应考虑开展定量研究来验证所得出的理论。

该模型可帮助参与者改善和发展旅游路线, 从而有助于实现与城乡联系和旅游伙伴关系相关的可持续发展目标。

旅游路线的发展预计将对农村/边缘地区的社会经济发展产生积极影响。

Esta investigación se centra en diversas tipologías de rutas turísticas, buscando identificar Factores Críticos de Éxito (FCE) y proporcionar un modelo conceptual adaptado.

Aplicamos un enfoque cualitativo para investigar cinco rutas turísticas. Entrevistamos a 31 miembros y examinamos datos secundarios de documentos organizativos. Se desarrolló un modelo conceptual mediante el análisis de contenido de transcripciones y datos secundarios.

Basado en los FCE identificados, el modelo está organizado en seis componentes: Producto, Objetivos, Recursos, Gobernanza, Actividades y Evaluación del desempeño.

El estudio analiza diversas rutas turísticas en relación con sus productos, ubicaciones y nivel de implementación, así como los objetivos, rendimiento y éxitos percibidos de los involucrados.

La mayoría de los encuestados son autoridades públicas de países europeos. Se debe considerar el desarrollo de investigaciones cuantitativas para validar la teoría derivada de este estudio.

El modelo puede potencialmente ayudar a los participantes a mejorar y desarrollar rutas turísticas, contribuyendo así a lograr los objetivos de desarrollo sostenible relacionados con las conexiones rural-urbanas y las asociaciones turísticas.

Se espera que el desarrollo de rutas turísticas tenga un impacto positivo en el desarrollo socioeconómico en áreas rurales/periféricas.

Following Howard Bowen's legacy for responsible business practices, together with the actual growing pressure of societal problems, such as climate change, social inequality, geopolitics instability, etc., business leaders all around the world are being asked, if not demanded, to show and act as action persons who effectively contribute to a better common value creation. This confluence of situations has led to many CEOs feeling pressured to take a stand in sociopolitical themes, many times outside their businesses' areas, which have become known as CEO activism.

This study aimed to explore if and how this international growing trend is manifesting in the Portuguese context, by exploring the perspective of Portuguese CEOs on the topic, the course of action that they are taking, and how they evaluate risks and opportunities.

For these purposes, we implemented a qualitative methodology based on interviews to 24 Portuguese CEOs and used thematic analysis to explore them. Our findings reveal that, although Portuguese CEOs are aware of this trend, they acknowledge both risks and opportunities, and their activism is still incipient. Plus, they strongly believe that CEO activism must be aligned with the values and mission of the organization they represent. Finally, Portuguese CEOs are convinced of activism being genuine, and therefore should be first implemented within the organization, which is where most of them focus their action. Our work provides an original mapping of the CEO activism landscape in Portugal and an insightful discussion of the CEO's perspective on this growing phenomenon.

The focus of this research is to investigate if user-generated content (UGC) generated in the Booking platform can support quality management improvement within the hospitality industry by increasing customer satisfaction and eliminating defects more efficiently. Hence, it contributes to understanding how data-driven companies can rely on customer data to focus on innovation and performance improvement to meet customer requirements, eliminate defects and increase customer satisfaction.

Following the literature review, information was collected from the digital platform Booking, encompassing 15 hotel industry companies in Portugal Porto and Braga regions, selected due to their high number of customer reviews. This data was organized and categorized, eliminating all unnecessary information for the research and building an Excel database. The database was subsequently analysed with SPSS and Voyant software, performing statistical analysis, hypothesis testing and text-mining techniques to analyse the comments. After these analyses, applying quality tools allowed for more in-depth conclusions.

The research results highlight that customers' most relevant requirements in the Portuguese hospitality industry are breakfast, parking and a swimming pool. It was also possible to realize that the location is an attractive requirement, the bathroom is a must-be requirement and breakfast is a performance requirement. The results also allowed us to answer the most critical research question: “Is user-generated content a valuable aid to quality?” the answer is yes since it was possible to use the data to find improvements and faults/failures in the services.

The results of this study represent an essential step towards a complete understanding of how to take advantage of UGC within the hospitality industry by establishing a solid base of techniques, methods and quality tools for UGC analysis that can be applied in future research on different industry sectors.

This study aims to examine providers’ intentions to engage with sharing platforms, focusing specifically on how perceptions of risk and value influence the intention to participate, considering the moderation effect of regulatory focus.

Two laboratory experimental studies were conducted. Study 1 examined the relationship between risk and value perception on the intention to provide. Study 2 replicated and extended the results by testing regulatory focus as a moderator.

The findings confirmed that risk perception negatively impacted the intention to provide, while value perception mediated a positive effect on the intention to provide. In addition, promotion versus prevention focus was supported as a significant moderator; providers with a prevention focus (vs promotion) presented reduced intentions to supply on sharing platforms because of their concerns about negative consequences.

Sharing platforms actively communicate safety measures on social networks to reduce users’ perceived risks. This study demonstrates that providers with a preventive focus are less inclined to engage in sharing platforms because they avoid risks. Therefore, platforms should not only communicate the rewards of sharing and mechanisms that reduce the perceived risk but also segment potential providers based on their regulatory focus profiles to effectively attract more providers to their platforms.

This study analyzes the sharing behavior in peer-to-peer platforms by focusing on the provider side, whereas most previous studies address the user (customer) side. In addition, the adoption of the experimental design allows for a better understanding of the influence of risk and value perceptions on the intention to provide, considering the moderation effect of regulatory focus.

Industry 4.0 is based on cyber-physical systems (CPSs); therefore, the risks of cyberattacks tend to increase. A cyberattack is any malicious act that could jeopardize the security of production, accounting and financial systems. This review hypothesizes quality management is in a position to play an important role in preventing and detecting hacker attacks.

To verify this hypothesis, Lakato’s research program was utilized in a bibliometric review. This review was separated into two stages: the first was a descriptive analysis and the second was a scientific mapping, done using a technique known as text mining. This technique was guided by factorial and cluster analysis.

The analysis revealed that this subject is emerging and relevant. It was observed that understanding the vulnerabilities of connected systems is crucial for combating cyberattacks. Furthermore, the study highlighted the potential of multivariate control charts, such as Hotelling’s T-squared charts and Exponentially Weighted Moving Average (EWMA) control charts, in efficiently detecting anomalies in connected systems.

This article introduces an approach integrating quality management, statistical analysis and cybersecurity to safeguard CPSs. By leveraging advanced statistical techniques, such as Hotelling T² charts and EWMA charts, in conjunction with the foundational principles of quality management systems (QMS), such as continuous improvement and process standardization, this could be a potentially robust defense against cyberattacks. The integration of these tools allows for the early detection of anomalies and potential cyber threats, ensuring the prevention of integrity and security of interconnected industrial processes.

The purpose of this study is to explore the evolving landscape of money laundering (ML) research in emerging economies, identifying key trends, challenges, and future research directions.

The paper adopts bibliometric and systematic literature review approaches to distill the main trends, themes and knowledge gaps in the areas of ML research. This paper analyzed indicators of bibliometrics, keyword co-occurrence network and thematic clustering while identifying evolving patterns in researching ML by analyzing 102 articles indexed in both Scopus and Web of Science.

ML research has taken a quantum leap after 2018. It discusses thematic clusters on the challenges facing developing countries, corruption and its interaction with financial systems, illicit financial flows and the macroeconomic consequences of financial crimes. Globalization, political dynamics and informal financial systems pose other challenges. These findings emphasize adaptive, technology-driven frameworks oriented toward the sustainable development goals.

The research provides a cumulative overview of fragmented studies on ML in emerging economies, thereby bridging the gaps between academic research and policy-making. The paper contributes to the wider understanding of the socio-economic and environmental dimensions of financial crimes and positions ML within the global agenda of equitable development.

This study aims to analyze the university environment’s role in the intention–action gap (IAG)of highly successful startup founders in an emerging market.

Using multiple regression analysis, this study analyzed data collected from 314 founders representing 99 successful startups (289 valid observations), renowned for their high funding and value operating in an emerging market, Brazil.

The results demonstrate that extracurricular activities and exchange programs lead to a reduced IAG while living in a significant economic center extends it. Computer science and industrial engineering students show reduced IAGs. Studying together with future co-founders also leads to reduced gaps.

The study contributes to the microfoundations theory by presenting new interactions between students and the university environment that influence entrepreneurial action. Limitations are related to the sample, limited to Brazilian founders and selected only through venture capital firms’ filters.

This study also provides practical insights to the universities’ leaders on how they can create programs that improve the rate of startup creation, potentially leading to successful companies.

This study investigates the association between the university role and the entrepreneur’s IAG in emerging markets. The entrepreneur’s IAG is still a relatively new phenomenon explored in entrepreneurship. Even less understanding and limited empirical data exist on successful startups from emerging markets. This study drew on the microfoundations literature to answer how universities in emerging markets could address specific resources and entrepreneurship programs to reduce the IAG among students and alumni.

Digital technologies have been found to have long-lasting impacts on poverty. This study has been conducted to shed light on the contributions made by digital technologies toward poverty alleviation and also provide future research directions.

The authors thoroughly studied the sample of 258 publications from the Scopus database, covering the period from 1982 to June 2023. Using VOS viewer and Bibliometrix R, various graphs and networks are developed to understand publication trends, research collaborations and intellectual structures.

A significant amount of the existing literature on the impact of digital technologies on poverty alleviation demonstrates the need for more studies in this area. Lack of information and communication technology (ICT) infrastructure and access exhibits less opportunity for work, social networking and entrepreneurship, directly affecting people’s livelihoods in developing countries.

This study will help country planners, regulatory bodies and academicians get a deeper insight into the impact of digital technologies on poverty alleviation and also develop the future research agenda.

This study employs a considerable period of time, from the year 1982 to June 2023. To the best of authors’ knowledge, the current study is a pioneer in using bibliometric analysis to identify the impact of digital technologies on the alleviation of poverty. This attempt will surely be helpful to academicians, researchers and those working on identifying the impact of digital technology on poverty alleviation.

The purpose of this paper is to provide an in-depth analysis of the challenges associated with using artificial intelligence (AI) in academic research and suggest various preventive measures that can be taken to address these issues and transform them into opportunities.

To develop measurement items and constructs, the authors collected 248 responses through an online survey. These responses were then used to establish the structural model and determine discriminant validity through the use of structural equation modeling with SmartPLS 4.0.9.9. Additionally, the authors used SPSS (Version 29) to create graphs and visual representations of the challenges faced and the most commonly used AI tools. These techniques allowed them to explore data and draw meaningful conclusions for future research.

This research shows that AI has a positive impact on higher education, improving learning outcomes and data security. However, issues such as plagiarism and academic integrity can destroy students. The study highlights AI’s potential in education while emphasizing the need to address challenges.

This paper emphasizes the preventive measures to tackle academic challenges and suggests enhancing academic work.

This study examines how AI can be used to personalize learning and overcome challenges in this area. It emphasizes the importance of academic institutions in promoting academic integrity and transparency to prevent plagiarism. Additionally, the study stresses the need for technology advancement and exploration of new approaches to further improve personalized learning with AI.