Search results

Tourism on wellness is a rapidly expanding segment of the travel industry; nevertheless, it is still in its infancy, and more study research is needed to develop a scientific foundation for health and wellness tourism. The study uses bibliometric indicators like as citations to determine the field structure on wellness tourism from 1998 to 2021, and the VOSviewer software to map the significant trends in wellness tourism (WT) area, to examine the present situation.

To reach this objective, the theme of “wellness tourism” was searched in the “Scopus” database, and bibliometrics data on the publications were obtained. In total, 414 papers were found during the initial search, which was then narrowed according to the criteria. Using this strategy, the author discovered 386 records, and after removing 4 duplicates and 1 irrelevant document, the refining produced 381 related documents. The most-cited papers, significant authors, co-citation of references, sources and authors were all investigated for the publications related to WT.

According to this report, research into wellness tourism has increased in recent years. The authors discovered two papers with over 238 “Scopus” citations and a total of 10 studies with 1414 citations. According to Scopus, the document Napier et al. receives 36.5% of citations each year. There were a total of 804 authors who published about WT between 1998 and 2021, with Smith, M, Voigt, c, and Puczkó, L being the most-cited reference authors in the subject. Han h. has the highest index of 56 of all the authors.

The “Scopus” database was used for bibliometric analysis, although the VOSviewer was used exclusively. This considered as a first study to utilize a bibliometric method to address this research gap, identifying the tools, journals, and, most crucially, conceptual subdomains like spa, yoga, therapy, spirituality and trekking that will be significant in future research.

Using a bibliometric analytic approach, this article looked at papers on wellness tourism published between 1998 and 2021. Thus, its goal is to learn more about wellness tourism and to enlighten wellness tourism scholars on the field's structure.

The theory of complex adaptive systems (CASs) represents an interesting perspective to study the characteristics of circular supply chains (CSCs). In this regard, the current literature lacks evidence regarding coordination and integration mechanisms, characteristics of the environment and emerging system properties of CSCs. This paper aims to fill this gap and focuses on how and why companies design (i.e. configure and coordinate) their CSCs and what value these design choices help to create across different industries.

The authors use a multiple case study approach and analyze data collected from a sample of five sustainable start-ups operating in the fashion and construction industries in Italy to better understand how these companies design (i.e. configure and coordinate) their CSCs.

Results reveal that in the two industries under investigation, the design of CSCs built around open and closed–loop logic is triggered by the intention to solve a negative sustainability impact. The sustainability impact determines whether the value is restored within the same supply chain, in another, or inside or outside the same industry. Interestingly, start-ups appear to coordinate other CSC actors with three leading roles: (1) orchestrator, (2) integrated orchestrator and (3) circular manufacturer. The coordination role of the start-ups differs in each supply chain configuration based on the level of vertical integration of manufacturing activities.

From a theoretical perspective, the authors' results expand previous supply chain management (SCM) literature by presenting an empirical analysis of the configuration and coordination of CSCs, and discussing the drivers for creating such circularity from a CAS perspective. From a managerial perspective, the authors offer a practical experience to entrepreneurs on how to transform circular and sustainable business model aspirations into CSC practices.

This study investigates to what extent the values perceived by tourists throughout cultural tours impact their overall satisfaction levels and behavioral intentions related to the destination. This study further examines the moderating role of tour guide competency in the relationship patterns concerned.

Empirical data were collected via a survey from 420 foreign tourists who visited Cappadocia and participated in guided cultural tours. Partial least squares-structural equation modeling was used for data analysis.

Study results reveal that the effects of quality, emotional, monetary and social value perceptions of tourists gained through cultural tour experiences on their overall satisfaction levels and the effects of overall satisfaction on recommendation and revisit intention are positive and significant. Furthermore, the moderating role of tour guide competency is significant and positive in the relationships between quality value and satisfaction and between satisfaction and revisit intention.

This study offers a critical analysis of discoveries concerning the pivotal role of tour guide competency within the cultural tour experience.

Total factor productivity (TFP) has become a prominent concept in agriculture economics and policy over the last three decades. The main aim of this paper is to obtain a detailed picture of the field via bibliometric analysis to identify research streams and future research agenda.

The data sample consists of 472 papers in several bibliometric exercises. Citation and collaboration structure analyses are employed to identify most important authors and journals and track the interconnections between main authors and institutions. Next, content analysis based on bibliographic coupling is conducted to identify main research streams in TFP.

Three research streams in agricultural TFP research were distinguished: TFP growth in developing countries in the context of policy reforms (1), TFP in the context of new challenges in agriculture (2) and finally, non-parametric TFP decomposition based on secondary data (3).

This research indicates agenda of future TFP research, in particular broadening the concept of TFP to the problems of policy, environment and technology in emerging countries. It provides description of the current state of the art in the agricultural TFP literature and can serve as a “guide” to the field.

The purpose of this research was to investigate the influence of abusive supervision on work engagement, stress and turnover intention of subordinates. It was also proposed that work engagement and stress mediate the relationship between abusive supervision and turnover intention. Self-determination theory and the job demands-resources (JD-R) model provide the theoretical framework for the hypotheses.

The sample of this study consisted of 172 employees from public and private companies operating in different sectors of the economy. The hypotheses were tested through multiple regression analysis.

The results show that abusive supervision negatively influences engagement and contributes to increasing subordinates' stress and turnover intention. The study also found that the relationship between abusive supervision and turnover intention is mediated by engagement, but not by stress.

Data was obtained from a convenience sample and cannot, therefore, be generalized.

The study results suggest that employees are prone to leave an organization when they are subordinated to abusive leaders, corroborating the idea that workers choose organizations but leave their leaders. This, in turn, reinforces the importance of adopting proper leadership selection and training processes.

This research addresses the dark side of the relationship between superiors and subordinates, which has been scarcely examined in the Brazilian literature. It also draws attention to different harmful consequences associated with dysfunctional behaviors of professionals that hold leadership positions in organizations.

The purpose of this study is to examine the drivers and barriers of travel behavior associated with tourist behavior during/post-COVID-19 pandemic to provide a knowledge base as well as an agenda for future research.

The authors utilized the Systematic Literature Review (SLR) technique for searching the articles published in Web of Science (WOS) and Scopus, to identify the main drivers and barriers affecting the tourist behavior during/post-COVID-19 pandemic. Eventually, 47 articles were chosen for the final analysis.

The findings are reported in three sections, (1) quantitative research profile, (2) qualitative synthesis and (3) future agenda. This study addresses the nuanced questions regarding the significant change in tourist travel behavior, emotional dynamics and a detailed understanding of mechanisms, such as which drivers and barriers affect tourist behavior in a particular destination. Drivers and barriers to tourist travel behavior were characterized in personal-related, destination-related, and health-related factors. Moreover, this study provides thought-provoking ideas in theory, policy and practice in the field of tourism and hospitality.

This study has three limitations, as follows. First, the authors searched only two databases, Scopus and Web of Science, due to which the authors might be missing some related studies existing on the other databases. Although these databases provide an extensive range of academic literature, further studies could extend the data collection from the other databases (e.g. via Taylor & Francis). However, our systematic literature review (SLR) coverage is quite extensive, since journals are listed on these three main databases. Second, the authors followed a main study search protocol based on the synonyms and related keywords, however, some of the studies that may be related to the tourist behavior towards the destination are missing on account of the lack of our keywords in there, title, author, keyword and abstract. Furthermore, future research could endeavor to add other keywords to expand the results of studies. Third, although the accurate analysis was conducted to reduce subjectivity in identifying themes for drivers and barriers of tourist behavior, future studies on categorization could work to ensure that other sub-themes categorize.

The recent study has some key practical implications. First, this study is valuable for all the stakeholders in a unique way, including destination managers, academicians and policymakers, because it provides insight into barriers and drivers that influence the development of tourist behavior towards the destination. Second, the current study also offers practical implications for people involved in tourism service industries including governments and private businesses. Policymakers and other leaders are increasingly interested in harnessing the economic potential of tourism. Therefore, identifying the barrier which is inhibiting the tourist traffic towards the destination is beneficial to understand and effectively develop strategies to minimize the effect of such factors. Moreover, drivers and barriers of tourist behavior towards the destination in the COVID-19 pandemic situation towards the destination may help to create a framework for the development of destinations according to the current vulnerable situation. Third, current findings suggest that tourism marketers understand the drivers and barrier constructs found in this study and tailor their marketing strategies for attracting existing and new tourists. For instance, marketers should understand the drivers and barriers of tourist behavior for effective strategy development to increase the positive effect of drivers and to reduce the negative effect of barriers.

This is the first systematic literature review on the impact of drivers and barriers of tourist travel behavior. This paper analyses the methods and approaches that have been used in the previous literature to examine the drivers and barriers of tourist travel behavior. The paper ends with the research implication and limitations of the studies.

The purpose of this paper is to conceptually examine the phenomenon of wellness tourism under a holistic and systemic lens, focusing on the offer system and the main components necessary for the staging of wellness experiences. This approach to holistic wellbeing within the tourism sector has led to a broadening of the type of services and experiences that make up the value propositions that can positively contribute to people’s wellbeing.

This study identifies and defines the components of wellness tourism (including sectors not traditionally associated with it) through a review and analysis of the extant literature on “wellness tourism” and “wellbeing tourism” of the past two decades; the components were classified through an open coding process.

Wellness tourism, as a broad multidimensional concept, is composed by ten different components of the offer system: hot springs, spas, medical tourism, care of the body and mind, enogastronomy, sports, nature and environment, culture, spirituality and events. Each of these categories may represent a single touristic offer targeted to specific market segments, but they may also be one of several components within an integrated mix of tourism products proposed.

A holistic view of wellness tourism has implications for strategic marketing processes. Destination Management Organizations and company managers should segment their demand according to more innovative criteria than what has traditionally been adopted for wellness in terms of health care and medical procedures. Value propositions for tourists should be wellness-driven to satisfy the growing demand for wellness/well-being and should involve the participation of all the various actors and producers within the wellness tourism offer system at wellness destinations.

康养旅游及其组成元素：一个全方位的视角

此一论文会以全面和有系统的目光, 谈及康养旅游的现象, 并集中于康养旅游的供应系统和主要组成元素。此一以全面身心健康为目的的旅游行业, 使不同服务的覆盖范围和经验得以扩而充之, 提供有利条件正面地影响着人们的身心健康。

本研究会分辨和定义康养旅游的组成元素（以及其他在传统定义上被排除的行业）, 透过重新审视和分析近20年有关于康养旅游（Wellness tourism）和健康旅游（Wellbeing tourism）的现存文献。同时, 所有元素会以开放式译码 （open coding）来分类。

康养旅游, 作为一个多元概念, 基本上与十个不同的供应行业相关：温泉, 水療, 医疗旅游, 身心护理, 饮食, 运动, 自然环境, 文化, 灵修和特办活动。不同类别的行业可以在代表市场上不同供需关系的同时, 也可以代表供应上可以有一种混合套餐供应。

以全面的目光去看康养旅游可以为市场策略定下基础。目的地管理公司（DMO）和不同的公司经理应该在分辨服务需求的时候, 多采用新颖的标准, 摒弃只包括医疗的传统健康观念。为游客订立的价值主张（Value propositions）应以全面身心健康为主导, 以满足对康养（Wellness）和健康（Wellbeing）不断上升的需求; 亦应大力度地提升所有安康旅游工作人员与顾客的互动和参与。

El turismo de bienestar y los componentes de su sistema de oferta: una perspectiva holística

Este artículo examina conceptualmente el fenómeno del turismo de bienestar desde una perspectiva holística y sistémica, centrándose en el sistema de oferta y los principales componentes necesarios para la puesta en escena de experiencias de bienestar. Este enfoque de bienestar integral dentro del sector turístico ha propiciado una ampliación del tipo de servicios y experiencias que integran las propuestas de valor que pueden contribuir positivamente al bienestar de las personas.

Este estudio identifica y define los componentes del turismo de bienestar (incluidos los sectores no asociados tradicionalmente con él), a través de una revisión y análisis de la literatura existente sobre “turismo de bienestar” de las dos últimas décadas; los componentes se han clasificado mediante un proceso de codificación abierto.

El turismo de bienestar está compuesto conceptualmente por diez componentes diferentes de ofertas: aguas termales, spas, turismo sanitario, cuidado de cuerpo y mente, enogastronomía, deportes, naturaleza y medio ambiente, cultura, espiritualidad y eventos. Cada una de estas categorías puede representar una única oferta turística para segmentos de mercado específicos, pero también pueden ser uno de los varios componentes de una combinación integrada de productos turísticos.

Esta concepción holística del bienestar sugiere que, en el contexto de los procesos de marketing estratégico, las DMO y los gerentes de negocio deben segmentar la demanda con criterios innovadores respecto a los tradicionales de salud y médicos. Además, deben formular propuestas de turismo orientado al bienestar, valorizando los componentes de la oferta capaces de interceptar la creciente demanda de bienestar e implicando a los distintos productores del sistema de oferta de wellness que operan en los destinos de bienestar

Based on the survey data of 1,152 households in three provinces of Shaanxi, Gansu and Ningxia on the Loess Plateau, this paper aims to empirically analyze the impact of aging and off-farm employment on farmers’ adoption behavior of soil and water conservation technology. This paper analyzes the moderating effect of social network and the mediating effect of technological cognition in this impact relationship.

Based on the above analysis, the second part of this paper is based on relevant theories and constructs a theoretical model of the relationship of aging, off-farm employment, social network, technology cognition and farmers’ adoption behavior of soil and water conservation technology. The third part introduces research methods, variable selection and descriptive statistics analysis of variables. The fourth part, based on the data of Shaanxi, Gansu and Ningxia provinces in the Loess Plateau in 2016, empirically analyzes the impact of aging, off-farm employment and social network on the farmers’ adoption behavior of soil and water conservation technology. This paper further examines the moderating effect of social network and the mediating effect of technology cognition in this influence relationship. Finally, based on the findings of the empirical study, this paper puts forward countermeasures and suggestions.

First, aging and off-farm employment have a significant negative impact on farmers’ adoption behavior of soil and water conservation technology, while social network has a significant positive effect. Second, social network has alleviated the effect of aging and off-farm employment on restraining farmers’ adoption behavior of soil and water conservation technology. Third, aging and off-farm employment have restrained farmers’ cognition of soil and water conservation technology. Social network has promoted farmers’ cognition of soil and water conservation technology. Social network plays a moderating role in the impact of aging and off-farm employment on farmers’ cognition of soil and water conservation technology. Technology cognition plays a mediating role in the impact of social network on farmers’ adoption behavior of soil and water conservation technology.

This paper integrates the aging, off-farm employment and social network into the same analytical framework and reveals their impact on farmers’ adoption behavior of soil and water conservation technology and its action mechanism, which enriches the impact of human capital and social network on farmers’ adoption behavior of soil and water conservation technology. Then taking the social network as a moderator variable, the paper verifies its moderating effect on the relationship of aging, off-farm employment and farmers’ adoption behavior of soil and water conservation technology. Farmers’ technology cognition should be included in the analysis framework to examine the impact of aging, off-farm employment and social network on farmers’ cognition of soil and water conservation technology. Taking the technology cognition as a mediator variable, the paper verifies its mediating effect on the relationship of aging, off-farm employment and farmers’ adoption behavior of soil and water conservation technology.

Humanoid robots that are artificially intelligent have infiltrated almost every aspect of life, including libraries, and can do things that humans are incapable of doing with greater efficiency in the library. It is on that note that this study has examined artificial intelligence (AI) humanoid robots for public libraries reference services. This study aims to discuss AI and draw the link between it and robotic technology.

This study adopted conceptual analysis and review of literature on AI humanoid robots for public libraries reference services.

This study focused not only on humanoid robots but also discovered that there are other types of robots relevant to libraries including chatbot, telepresence and shelve-reading robots as well as general robots such as aerospace robots, drones and army robots, commercial entertainment robots, industrial robots and medical-surgical robots. This paper also reported the usefulness of robots in libraries, and zero in on robots and reference services in the library. Lastly, this study reported the impact of humanoid robots on reference services in public libraries.

This paper is the original idea from the authors and does not reflect on any copyrighted materials. This study recommended among others that public libraries (in collaboration with their parent organisations) devise a strategic plan for new and emerging technologies such as humanoid robots.

The purposes of this research are to study the theory and method of multi-attribute index system design and establish a set of systematic, standardized, scientific index systems for the design optimization and inspection process. The research may form the basis for a rational, comprehensive evaluation and provide the most effective way of improving the quality of management decision-making. It is of practical significance to improve the rationality and reliability of the index system and provide standardized, scientific reference standards and theoretical guidance for the design and construction of the index system.

Using modern methods such as complex networks and machine learning, a system for the quality diagnosis of index data and the classification and stratification of index systems is designed. This guarantees the quality of the index data, realizes the scientific classification and stratification of the index system, reduces the subjectivity and randomness of the design of the index system, enhances its objectivity and rationality and lays a solid foundation for the optimal design of the index system.

Based on the ideas of statistics, system theory, machine learning and data mining, the focus in the present research is on “data quality diagnosis” and “index classification and stratification” and clarifying the classification standards and data quality characteristics of index data; a data-quality diagnosis system of “data review – data cleaning – data conversion – data inspection” is established. Using a decision tree, explanatory structural model, cluster analysis, K-means clustering and other methods, classification and hierarchical method system of indicators is designed to reduce the redundancy of indicator data and improve the quality of the data used. Finally, the scientific and standardized classification and hierarchical design of the index system can be realized.

The innovative contributions and research value of the paper are reflected in three aspects. First, a method system for index data quality diagnosis is designed, and multi-source data fusion technology is adopted to ensure the quality of multi-source, heterogeneous and mixed-frequency data of the index system. The second is to design a systematic quality-inspection process for missing data based on the systematic thinking of the whole and the individual. Aiming at the accuracy, reliability, and feasibility of the patched data, a quality-inspection method of patched data based on inversion thought and a unified representation method of data fusion based on a tensor model are proposed. The third is to use the modern method of unsupervised learning to classify and stratify the index system, which reduces the subjectivity and randomness of the design of the index system and enhances its objectivity and rationality.