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This study offers an in-depth examination of Google Bard, an advanced artificial intelligence chatbot created by Google, focusing specifically on its potential impact on academic research. This discussion aims to comprehensively explore the features of Google Bard, highlighting its capabilities in data management, facilitating collaborative discussions, and enhancing accessibility to complex research. In addition to the aforementioned positive characteristics, we will also delve into the limitations and ethical considerations associated with this innovative device. The functionality of the system is constrained by the limitations imposed by its pre-established algorithms and training data. In addition, there are significant concerns regarding data privacy, potential biases in its responses stemming from its training data, and the wider societal implications associated with a heavy reliance on machine-generated content. Ensuring responsible and ethical utilization of Bard necessitates Google's provision of transparent communication regarding its development process. In light of the prominent functionalities demonstrated by Google Bard, it is imperative for researchers to engage in a rigorous examination of the information it presents, thereby safeguarding against the inadvertent propagation of misinformation or biased viewpoints. This will lay the groundwork for its effective integration into the academic research methodology.

This paper aims to review norms and their relationship with consumer behavior in the tourism sector. The review aims to identify gaps in relation to various norms and their impact on the literature to provide future research recommendations.

A systematic literature review method was used to analyze norms in consumer behavior research within the context of tourism and hospitality. The review focused on the research context, conceptualizations, roles, measurements, theoretical backgrounds and the major findings.

The review reveals that the conceptualizations and dimensionality of norms in the existing studies are inconsistent, and most research in the tourism context only adopted the concept partially without capturing the totality of the concept. The theoretical gaps and measurement of norms were also identified for future research.

This study contributes to a better understanding of the role of norms in shaping tourist behavior and can guide practitioners in developing effective marketing strategies. The findings suggest the need for a more comprehensive understanding of the concept of norms in tourism in relation to theoretical underpinnings, measurement and application. The recommendations provided in this study can guide future research on norms and tourist behavior.

Norms have been extensively discussed in the literature. This paper is the first to systematically review norms and their influence on consumer behavior in the tourism sector.

本文审视规范及其与旅游业消费者行为的关系。此审查旨在确定关于各种规范及其对文献的影响的差距, 并提供未来研究建议。

采用系统文献综述方法, 分析了旅游和酒店消费者行为研究中的规范。审查侧重于研究背景、概念化、角色、测量方法、理论背景和主要发现。

审查发现现有研究中规范的概念化和维度存在不一致性, 而大多数旅游环境下的研究只部分采用了该概念, 未能完整捕捉概念的整体。还确定了未来研究中规范的理论差距和测量问题。

本研究有助于更好地理解规范在塑造游客行为中的作用, 并可以指导从业者制定有效的营销策略。研究结果表明, 需要更全面地理解规范概念在旅游中的理论基础、测量和应用。本研究提供的建议可以指导未来关于规范和游客行为的研究。

规范在文献中已经广泛讨论。本文是第一个系统地审查规范及其对旅游业消费者行为的影响。

Este artículo examina las normas y su relación con el comportamiento del consumidor en el sector turístico. El objetivo de la revisión es identificar brechas con relación a diversas normas y su impacto en la literatura, para proporcionar recomendaciones en futuras investigaciones.

Se empleó un método de revisión sistemática de la literatura para analizar las normas en la investigación del comportamiento del consumidor en el contexto del turismo y hostelería. La revisión se centró en el contexto de investigación, conceptualizaciones, roles, medidas, fundamentos teóricos y los principales hallazgos.

La revisión revela que las conceptualizaciones y la dimensionalidad de las normas en los estudios previos son inconsistentes, y la mayoría de las investigaciones en el contexto del turismo solo adoptaron parcialmente el concepto sin capturar la totalidad de este. También se identificaron lagunas teóricas y medición de las normas para futuras investigaciones.

Este estudio contribuye a una mejor comprensión del papel de las normas en la formación del comportamiento turístico y puede orientar a los profesionales en el desarrollo de estrategias de marketing efectivas. Los resultados sugieren la necesidad de una comprensión más holística del concepto de normas en el turismo en relación con los fundamentos teóricos, la medición y la aplicación. Las recomendaciones proporcionadas en este estudio pueden guiar futuras investigaciones sobre normas y comportamiento turístico.

Las normas han sido ampliamente discutidas en la literatura. Este artículo es el primero en revisar sistemáticamente las normas y su influencia en el comportamiento del consumidor en el sector turístico.

This paper aims to explore the role of frontline employees (FLEs) as mediators in transformative service processes within services targeting vulnerable users.

This paper is based on a case study of the development and implementation of a dementia village, and the data consist of documents, in-depth interviews and field observations.

The analysis identifies FLEs as mediators in six different roles. These roles highlight how FLEs perform as mediators, acting in between and for vulnerable users and thus supporting their well-being. Specifically, the roles explicate the mediating role of FLEs in the design and planning of transformative changes and in daily work practices.

The different mediating roles of FLEs presented here should inform care providers and managers of how employees can become assets for supporting vulnerable users’ well-being during the design and planning stages of transformative change and through daily service work.

This paper offers novel insights into the multifaceted roles of FLEs in transformative services. The findings add to the current debate on mediation in transformative services and contribute to the literature by extending and refining the established conceptual and empirical understandings of the role of transformative service mediators in consumers’ well-being.

This study aimed to the attributes, consequences and personal values that motivate the behavior of consumers of fruits and vegetables (FV) at local markets and how these elements are associated with food safety.

This is a qualitative research that used the laddering in-depth interview technique for data collection. Fifty interviews were conducted with consumers from Minas Gerais, Brazil. From the codification of the interview content, a hierarchical value map was constructed, showing the relationships between the attributes, consequences and values involved in the consumers’ purchasing decision.

Consumers value characteristics related to the origin of the product and the way it is produced and marketed. They seek particular benefits – such as satisfaction with the purchase, care for their health/well-being and safety when consuming food – and social benefits, such as the possibility of contributing to the local economy. Issues related to hygiene, organization, exposure and handling of products were some of the concerns reported by respondents with regard to food safety.

It is worth highlighting the application of the laddering technique itself. Analyzing the predictive validity of the method, there is a propensity for biases linked to possible interference by the researcher, especially in the coding stage of the elements.

This study can be used by producers, marketing professionals and public policymakers to promote FV sold at local markets and to encourage the improvement of food safety practices.

The research points to five consumer segments according to the different motivations that guide their purchase behavior for local FV. In addition, a focus is given to food safety, revealing its importance in the investigated context.

Emotional labour (EL) is a complex phenomenon that has received increasing attention in recent years due to its impact on employee’s well-being and job satisfaction. For a comprehensive understanding of the evolving field of EL, it is important to extract different research trends, new developments and research directions in this domain. The study aims to reveal 13 prominent research topics based on the topic modelling analysis.

Using latent Dirichlet allocation (LDA) method, topic modelling is done on 1,462 journal research papers published between 1999 and 2023, extracted from the Scopus database using the keyword “EL”.

The analysis identifies several emerging trends in EL research, including emotional regulation training and job redesign. Similarly, the topics like EL strategies, cultural differences and EL, EL in hospitality, organizational support and EL, EL and gender and psychological well-being of nursing workers are popular research topics in this domain.

The findings provide valuable insights into the current state of EL research and can provide a direction for future research as well as assist organizations to design practices aimed at improving working conditions for employees in various industries.

Topic modelling on emotional labor is done. The paper identifies specific topics or clusters related to emotional labor, quantifies these topics using topic modeling, adds empirical rigor, and allows for comparisons across different contexts.

The rapid rise of large language models (LLMs) has propelled them to the forefront of applications in natural language processing (NLP). This paper aims to present a comprehensive examination of the research landscape in LLMs, providing an overview of the prevailing themes and topics within this dynamic domain.

Drawing from an extensive corpus of 198 records published between 1996 to 2023 from the relevant academic database encompassing journal articles, books, book chapters, conference papers and selected working papers, this study delves deep into the multifaceted world of LLM research. In this study, the authors employed the BERTopic algorithm, a recent advancement in topic modeling, to conduct a comprehensive analysis of the data after it had been meticulously cleaned and preprocessed. BERTopic leverages the power of transformer-based language models like bidirectional encoder representations from transformers (BERT) to generate more meaningful and coherent topics. This approach facilitates the identification of hidden patterns within the data, enabling authors to uncover valuable insights that might otherwise have remained obscure. The analysis revealed four distinct clusters of topics in LLM research: “language and NLP”, “education and teaching”, “clinical and medical applications” and “speech and recognition techniques”. Each cluster embodies a unique aspect of LLM application and showcases the breadth of possibilities that LLM technology has to offer. In addition to presenting the research findings, this paper identifies key challenges and opportunities in the realm of LLMs. It underscores the necessity for further investigation in specific areas, including the paramount importance of addressing potential biases, transparency and explainability, data privacy and security, and responsible deployment of LLM technology.

The analysis revealed four distinct clusters of topics in LLM research: “language and NLP”, “education and teaching”, “clinical and medical applications” and “speech and recognition techniques”. Each cluster embodies a unique aspect of LLM application and showcases the breadth of possibilities that LLM technology has to offer. In addition to presenting the research findings, this paper identifies key challenges and opportunities in the realm of LLMs. It underscores the necessity for further investigation in specific areas, including the paramount importance of addressing potential biases, transparency and explainability, data privacy and security, and responsible deployment of LLM technology.

This classification offers practical guidance for researchers, developers, educators, and policymakers to focus efforts and resources. The study underscores the importance of addressing challenges in LLMs, including potential biases, transparency, data privacy, and responsible deployment. Policymakers can utilize this information to shape regulations, while developers can tailor technology development based on the diverse applications identified. The findings also emphasize the need for interdisciplinary collaboration and highlight ethical considerations, providing a roadmap for navigating the complex landscape of LLM research and applications.

This study stands out as the first to examine the evolution of LLMs across such a long time frame and across such diversified disciplines. It provides a unique perspective on the key areas of LLM research, highlighting the breadth and depth of LLM’s evolution.

Due to the unknown location, size and timing of disasters, the rapid response required by humanitarian operations (HO) faces high uncertainty and limited time to raise funds. These harsh realities make HO challenging. This study aims to systematically capture the complex dynamic relationships between operations in humanitarian settings.

To achieve this goal, the authors undertook a systematic review of the extant academic literature linking HO to system dynamics (SD) simulation.

The research reviews 88 papers to propose a taxonomy of different topics covered in the literature; a framework represented through a causal loop diagram (CLD) to summarise the taxonomy, offering a view of operational activities and their linkages before and after disasters; and a research agenda for future research avenues.

As the authors provide an adequate representation of reality, the findings can help decision makers understand the problems faced in HO and make more effective decisions.

While other reviews on the application of SD in HO have focused on specific subjects, the current research presents a broad view, summarising the main results of a comprehensive CLD.

Extensive empirical evidence suggests that procedural justice (PJ) and distributive justice (DJ) are key success factors for achieving durable peace negotiations. This paper aims to investigate how complexity affects these factors and the outcomes in negotiations.

The qualitative study is based on an examination of the peace negotiations that led to the 2016 agreement between the Fuerzas Armadas Revolucionarias de Colombia – Ejército del Pueblo and the Colombian Government. Based on document analysis, the authors examined in detail how and where in the process the principles of PJ and DJ were applied. The authors then examined the implementation progress after 2016 and placed the peace process in the overall context of the Colombian conflict.

The authors found that the principles of PJ and DJ were present in both the negotiation process and the agreement. The negotiations were successful and satisfactory solutions could be found for all issues. The complexity of the conflict is reflected in the limited coverage of the peace negotiations. Not all groups, interests and subconflicts could be included in the negotiations. This limits their contribution to a durable peace in Colombia. Conflicts that remain unresolved also have a negative effect on the implementation of the agreement.

For conflict management, this implies that the negotiations should not be viewed as “one-and-done” but rather as a progressive, ongoing process. The agreement is only the nucleus for achieving total peace. It must be actively advanced and defended.

This study offers new qualitative insights into how PJ and DJ function in negotiations. It also establishes a systematic connection between PJ and DJ and complexity, introduces the notion of coverage and, thereby, opens a new perspective on the management of conflict complexity.

This study collected the bibliographic data of 2034 journal articles published in 2000–2021 from Web of Science (WoS) core collection database and adopted two bibliometric analysis methods, namely historiography and keyword co-occurrence, to identify the evolution trend of construction risk management (CRM) research topics.

CRM has been a key issue in construction management research, producing a big number of publications. This study aims to undertake a review of the global CRM research published from 2000 to 2021 and identify the evolution of the research topics relating to CRM.

This study found that risk analysis methods have shifted from simply ranking risks in terms of their relative importance or significance toward examining the interrelationships among risks, and that the objects of CRM research have shifted from generic construction projects toward specified types of construction projects (e.g. small projects, underground construction projects, green buildings and prefabricated projects). In addition, researchers tend to pay more attention to an individual risk category (e.g. political risk, safety risk and social risk) and integrate CRM into cost, time, quality, safety and environment management functions with the increasing adoption of various information and communication technologies.

This study focused on the journal articles in English in WoS core collection database only, thus excluding the publications in other languages, not indexed by WoS and conference proceedings. In addition, the historiography focused on the top documents in terms of document strength and thus ignored the role of the documents whose strengths were a little lower than the threshold.

This review study is more inclusive than any prior reviews on CRM and overcomes the drawbacks of mere reliance on either bibliometric analysis results or subjective opinions. Revealing the evolution process of the CRM knowledge domain, this study provides an in-depth understanding of the CRM research and benefits industry practitioners and researchers.