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This research examines the role of a therapist’s attributes, namely, expertise, sociability, likability and mind-set similarity, in building trust, satisfaction and commitment amongst visitors in Indian wellness resorts and hotels.

The text mining approach was adopted to collect a large corpus of 3,94,373 online reviews from TripAdvisor, Google Reviews and hotels.com. Reviews were taken from 1,677 resorts and hotels that deal in spa and wellness care across India. This study uses unsupervised Naïve Bayes classification and n-gram lexical TF-IDF vectorizer method to classify and find the sentiment of the reviews shared by the visitors of the wellness resorts. Additionally, multiple linear regression is performed to understand the impact of the therapist’s identified attributes on the visitor’s relationship quality.

The research found positive sentiment towards the therapist’s likability, and visitors seemed satisfied with the overall wellness service. The sentiment towards trust and commitment is low. The study also found significant links between likability and expertise in building the relationship quality between the therapist and the visitors. The expertise of the therapist enhances visitors’ trust and willingness to return. The therapist’s likability nature helps in increasing visitor satisfaction.

This study helps to understand the service personnel's level of relationship with the customer in hospitality services. Further, the study empirically verifies the important factors that build relationship quality in Indian wellness services.

The present study argues the need for greater clarity in understanding the customer perception of the services provided by wellness therapists in Indian wellness resorts and hotels. The study guides hotel managers to perform training of wellness therapists to improve customer satisfaction. Using the findings of the current study, managers can prioritize therapists’ attributes and realign their core strategies and provide satisfying wellness services to customers.

This study demonstrates the essential qualities a therapist should develop to enhance the relationship with the resort visitors and foster trust, commitment and satisfaction. The study goes a step further by using a vast database of online data for deep insights into the visitor’s view and the use of machine learning for amplifying results.

This study investigates the overall publications of The TQM Journal since its inception with an aim to identify the trending topics and emerging trends.

The quantitative bibliometric and social network analysis techniques composed of keywords, co-occurrence network and keyword cluster detection are employed to conduct the investigation. A total of 968 papers published in The TQM Journal till August 2022 were sourced from the SCOPUS database to conduct the analysis.

The research identifies five themes from the published articles namely, customer service experience and satisfaction; quality management and organizational performance; quality measurement tools and models; quality and sustainable development; and quality and competitive advantage. The study also identifies the most significant articles, authors and countries published in the journal and shows that Industry 4.0 is the trending topic and quality 4.0 the new emerging trend in the journal.

The analysis is carried out only for papers published in The TQM Journal till August 2022; those after this month are not included in the analysis. The outcome of this study is dynamic in nature and subject to change over time as more papers, citations and collaborations are added to the list.

This is the first article of its kind to explore The TQM Journal publications with an aim to identify trending and emerging topics and also the most valuable authors based on the number of publications and citations through the bibliometric analysis.

This paper aims to understand the opportunities and challenges to engage emerging adult gamers (aged 18–25) in adopting healthier diet behaviours through online games and related platforms such as esports and streaming. The study uses a socio-ecological approach to understand influences and suggests approaches to changing behaviours.

Purposive and convenience sampling were used to identify (n = 13) online gaming industry professionals and emerging adult (EA) gamers for interview. Qualitative thematic analysis of data using NVivo was undertaken.

Bi-directional influences were found that are potentially impacting EA diet behaviours. Food industry advertising and sponsorships were identified as dominant influences within the behavioural ecology, using microcelebrities and esports events to target EAs. The study identifies a need for social marketers to engage EA gamers in healthful behaviours through interventions across various levels of the behavioural ecology, including those upstream with industry and potential government regulation, to promote better health and balance food marketing. It also identifies future research avenues for engaging gamers in good health.

To the best of the authors’ knowledge, this is the first study to explore the impact of the gaming behavioural ecology on EA diet behaviour. It identifies new channels that social marketers can use to engage EAs, who are difficult to reach through more traditional marketing channels.

This study proposes a novel method utilising a speech-word pair bipartite network to examine the correlation structure between members of parliament (MPs) in the context of the UK- China relationship.

We construct MP-word pair bipartite networks based on the co-occurrence relationship between MPs and words in their speech content. These networks are then mapped into monopartite MPs correlation networks. Additionally, the study calculates correlation network indicators and identifies MP communities and factions to determine the characteristics of MPs and their interrelation in the UK-China relationship. This includes insights into the distribution of key MPs, their correlation structure and the evolution and development trends of MP factions.

Analysis of the parliamentary speeches on China-related affairs in the British Parliament from 2011 to 2020 reveals that the distribution and interrelationship of MPs engaged in UK-China affairs are centralised and discrete, with a few core MPs playing an integral role in the UK-China relationship. Among them, MPs such as Lord Ahmad of Wimbledon, David Cameron, Lord Hunt of Chesterton and Lord Howell of Guildford formed factions with significant differences; however, the continuity of their evolution exhibits unstableness. The core MP factions, such as those led by Lord Ahmad of Wimbledon and David Cameron, have achieved a level of maturity and exert significant influence.

The research has several limitations that warrant acknowledgement. First, we mapped the MP-word pair bipartite network into the MP correlation network for analysis without directly analysing the structure of MPs based on the bipartite network. In future studies, we aim to explore various types of analysis based on the proposed bipartite networks to provide more comprehensive and accurate references for studying UK-China relations. In addition, we seek to incorporate semantic-level analyses, such as sentiment analysis of MPs, into the MP-word -pair bipartite networks for in-depth analysis. Second, the interpretations of MP structures in the UK-China relationship in this study are limited. Consequently, expertise in UK-China relations should be incorporated to enhance the study and provide more practical recommendations.

Firstly, the findings can contribute to an objective understanding of the characteristics and connotations of UK-China relations, thereby informing adjustments of focus accordingly. The identification of the main factions in the UK-China relationship emphasises the imperative for governments to pay greater attention to these MPs’ speeches and social relationships. Secondly, examining the evolution and development of MP factions aids in identifying a country’s diplomatic focus during different periods. This can assist governments in responding promptly to relevant issues and contribute to the formulation of effective foreign policies.

First, this study expands the research methodology of parliamentary debates analysis in previous studies. To the best of our knowledge, we are the first to study the UK-China relationship through the MP-word-pair bipartite network. This outcome inspires future researchers to apply various knowledge networks in the LIS field to elucidate deeper characteristics and connotations of UK-China relations. Second, this study provides a novel perspective for UK-China relationship analysis, which deepens the research object from keywords to MPs. This finding may offer important implications for researchers to further study the role of MPs in the UK-China relationship.

This study proposes a novel scheme for analysing the correlation structure between MPs based on bipartite networks. This approach offers insights into the development and evolving dynamics of MPs.

Building upon a larger mixed-methods research agenda, the purpose of this research study was to explore the growth of generativity (i.e. care for the next generation) among college student leaders who mentor, answering the central question “What changes in generativity do college student leaders who mentor associate with their mentoring experience, and why?” and associated sub-question “How does generativity develop among college student leaders who mentor?”

Applying methodological innovation to a phenomenological design, semi-structured interviews were conducted and triangulated with pictorial degree-of-change graphs among 33 collegiate leadership mentors at a large Midwestern USA land-grant university.

The findings indicated that senior collegiate leadership mentors overwhelmingly acknowledged sustained generativity increases as a result of mentoring a younger student when given the tools, environment to process and time needed to develop trusting investment relationships. These increases in generativity were associated with changes in their understanding of generativity, the desire to pass on the knowledge given to them and growth in both mentor and mentee.

Findings from the current study advance mentoring research and practice by providing a deeper understanding of mentoring as a developmental intervention, informing antecedents of generativity and utilizing innovative qualitative methodological techniques.