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Article
Publication date: 9 December 2024

Amine Lekmiti, Paul John Stolk, Alex Taylor, Sridar Ramachandran and Ng Keng Yap

The purpose of this study is to assess the current level of knowledge on the application of text mining in tourism and hospitality (T&H) research and provide a novel comprehensive…

Abstract

Purpose

The purpose of this study is to assess the current level of knowledge on the application of text mining in tourism and hospitality (T&H) research and provide a novel comprehensive framework for the field. This study also identifies gaps and proposes future research directions.

Design/methodology/approach

This bibliometric study analyzes 814 journal articles, sourced from Scopus between 2004 and 2024, and uses performance analysis and science mapping using Biblioshiny and VOSviewer software.

Findings

Over 50% of the articles were published between 2022 and 2024, reflecting a surge in text-mining applications in T&H research. These studies primarily focus on topics such as customer satisfaction, sustainability, destination image and COVID-19 effects, with sentiment analysis and topic modeling being the predominant techniques. The primary data sources are online reviews and microblogs. The review also highlights recent research trends (e.g. long–short-term memory, support vector machines and crisis) and classifies them into four conceptual categories concerning the application of text mining in T&H research: How? Where? Why? When?

Originality/value

This study comprehensively explores the evolution of T&H, contributions from research constituents and the intellectual structure of the field, providing a novel comprehensive framework while also assessing the field and highlighting its challenges.

研究目的

本研究评估了文本挖掘在旅游与酒店管理(T&H)研究中的应用现状, 并提供了该领域的全新综合框架。同时, 研究还识别了当前存在的研究空白并提出了未来的研究方向。

研究方法

本研究通过文献计量分析方法, 对2004年至2024年间Scopus数据库中814篇期刊文章进行分析, 采用Biblioshiny和VOSviewer软件进行绩效分析和科学映射。

研究发现

超过50%的文章发表在2022年至2024年间, 反映了文本挖掘在T&H研究中的应用激增。这些研究主要集中在顾客满意度、可持续性、目的地形象以及COVID-19影响等主题, 情感分析和主题建模是主要使用的技术。主要数据来源为在线评论和微博。该综述还揭示了近期的研究趋势(如长短期记忆LSTM、支持向量机SVM、危机管理), 并将其归纳为四个文本挖掘在T&H研究中的概念类别:如何?在哪里?为什么?以及何时?

研究创新

本研究全面探索了T&H领域的演变、研究贡献者的作用以及该领域的知识结构, 提供了一个新的综合框架, 评估了该领域的发展并突出了其挑战。

Details

Journal of Hospitality and Tourism Technology, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1757-9880

Keywords

Article
Publication date: 12 March 2024

Saiyara Nibras, Tjong Andreas Gunawan, Garry Wei-Han Tan, Pei-San Lo, Eugene Cheng-Xi Aw and Keng-Boon Ooi

Consumers nowadays are no longer bystanders in the process of production but are proactive collaborators with the power to co-create value with brands. This study aims to explore…

Abstract

Purpose

Consumers nowadays are no longer bystanders in the process of production but are proactive collaborators with the power to co-create value with brands. This study aims to explore the impact of social commerce on the co-creation process of brand value in a social commerce setting.

Design/methodology/approach

A questionnaire survey was conducted online to gather 300 eligible responses. The data were empirically validated using the partial least squares structural equation modelling (PLS-SEM) method.

Findings

The results indicated that brand engagement (BEN) is vital to brand co-creation (BCC) in social commerce, which could be driven by social-hedonic value (SHV) and social information sharing (SIS).

Research limitations/implications

This study stresses the influence of consumer autonomy in the process of BCC by probing the role of SIS. Moreover, by considering the prevailing trend in social media, this study offers a nuanced perspective on the values of social commerce from the viewpoint of SHV.

Practical implications

This study may serve as a useful guide for practitioners to improve their digital outreach strategy on social commerce to forge stronger relationships, encourage further engagements and promote value co-creation within their brand community.

Originality/value

This examines the effect of relationship quality (RQU) and BEN on BCC through a relational viewpoint.

Details

Marketing Intelligence & Planning, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0263-4503

Keywords

Article
Publication date: 16 July 2024

Keng-Chieh Yang

This study uses big data analysis aimed at discovering city bus passenger ridership patterns. Hence, marketing managers can get sufficient insights to formulate effective business…

Abstract

Purpose

This study uses big data analysis aimed at discovering city bus passenger ridership patterns. Hence, marketing managers can get sufficient insights to formulate effective business plans and make timely decisions about company operations.

Design/methodology/approach

This study uses a mixed-method analysis to analyze the results. First uses the RFM (recency, frequency, and monetary) model combined with a big data technique (K-means) to analyze bus passenger boarding behavior. In order to improve the validity and quality of the research, this study also conducted interviews with senior managers of the bus company from which the data was obtained.

Findings

The study identifies six distinct groups of passengers with different boarding behaviors, ranging from “general passengers” to “most valuable passengers”. General passengers constituted the largest group. As such, they should be the main target for municipal governments when promoting bus ridership as part of energy conservation and carbon-reduction activities. This group of passengers should be encouraged to take public transport vehicles more, instead of relying on personal vehicles. The fourth group identified included elderly passengers with hospitals as their destinations. Bus companies can cooperate with municipal government to provide morning “medical bus” services for the elderly. Interviews with bus company managers confirmed that the analytical results of this study correspond with the observations, experiences, and actual business operating plans of bus companies.

Originality/value

Only few studies have analyzed passengers' boarding behavior applying a mixed-method analysis.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 12 November 2024

Lurdes Esteves, Mário Franco and Margarida Rodrigues

The study of mindfulness is still shown to be of interest in different aspects of organisations and/or businesses. Therefore, this study aims to present an integrative…

Abstract

Purpose

The study of mindfulness is still shown to be of interest in different aspects of organisations and/or businesses. Therefore, this study aims to present an integrative, multi-level model of mindfulness based on a holistic approach that can contribute to better governance practices and lead to competitive advantages.

Design/methodology/approach

To fulfil this aim, an extensive integrative review of the literature, from the main articles about this topic, was made.

Findings

This study shows that the concept of mindfulness, a conscious presence or full attention and its relation with organisations or firms’ personal, behavioural and social characteristics, in the current context of great adversity, uncertainty and unpredictability, is of interest at the individual, organisational and social level.

Practical implications

This conceptual study has important implications for both practice and theory. It demonstrates that mindfulness significantly impacts the manager/business person’s ecosystem at the individual, organisational and social levels, particularly in relation to Sustainable Development Goals.

Originality/value

This study introduces a comprehensive theoretical model that explains this relationship and organises information from a multi-level perspective. This approach can contribute to the advancement of theory by clarifying and discussing the role of mindfulness at the individual, organisational and societal levels. It also identifies opportunities and outlines future research directions, aiming to promote more sustainable development.

Details

International Journal of Organizational Analysis, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1934-8835

Keywords

Article
Publication date: 14 January 2025

Haona Yao, Hongwei Fu, Yongqiang Lu, Pengpeng Xu and Liang Wang

As project managers are in the central position of sustainable project management (SPM), their competencies become an important factor that affects the outcome of SPM. However…

Abstract

Purpose

As project managers are in the central position of sustainable project management (SPM), their competencies become an important factor that affects the outcome of SPM. However, literature lacks a clear description of the project manager competence system required by SPM. The purpose of this study is to explore what competencies are required by sustainable project management and analyze the hierarchy and attributes of these competencies.

Design/methodology/approach

Aiming to address the problem, several methods were applied in this study. First, with a literature review, semi-structured interviews and Delphi technology, 23 project manager competencies required by SPM are identified. Second, the fuzzy interpretive structural modeling–matrix impact cross-reference multiplication applied to classification (FISM–MICMAC) method is used to analyze the data from 21 experienced project managers in the construction industry, revealing the hierarchy and attributes of the project manager competency system required by SPM.

Findings

The results indicate that the project manager competency system required by SPM includes nine micro levels. According to the nature of the competencies, these nine levels can be summarized into five macro levels. Furthermore, all competencies can be divided into three categories: independent, autonomous and dependent.

Originality/value

This study not only provides project managers and scholars with a further understanding of project manager competencies but also helps contractors make informed and objective judgments in the selection and/or appointments of project managers who have the appropriate competencies for SPM.

Details

Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

Keywords

Article
Publication date: 11 December 2024

Songbo Liu, Jinkai Cheng, Zhen Wang and Shilong Wei

This study aims to investigate how individual career management (ICM) affects career success in Chinese organizations. Leader emergence was examined through the theoretical lens…

Abstract

Purpose

This study aims to investigate how individual career management (ICM) affects career success in Chinese organizations. Leader emergence was examined through the theoretical lens of implicit leadership theory as a mediating mechanism of this relationship. In addition, leadership self-efficacy and organizational warmth were analyzed jointly as boundary conditions strengthening the relationship between ICM and leader emergence.

Design/methodology/approach

To avoid common method bias, the authors adopted a three-wave data collection with a one-month lagged design. A total of 765 questionnaires were distributed and 424 usable questionnaires were collected. Mplus version 8.3 was used to test the hypothesized relationships.

Findings

Findings indicated that ICM is positively related to subjective career success and objective career success via leader emergence. Moreover, leadership self-efficacy and organizational warmth jointly moderate the relationship between ICM and leader emergence.

Originality/value

Based on implicit leadership theory, this study identifies leader emergence as a critical mechanism explaining the positive impact of ICM on career success in the Chinese context. Lastly, results stress the simultaneous need for leadership self-efficacy and organization warmth, which can promote high-ICM employees to emerge as leaders.

Details

Chinese Management Studies, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1750-614X

Keywords

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