From Liminal Labor to Decent Work: A Human-Centered Perspective on Sustainable Tourism Employment

被引:21
|
作者
Ioannides, Dimitri [1 ]
Gyimothy, Szilvia [2 ]
James, Laura [3 ]
机构
[1] Mid Sweden Univ, European Tourism Res Inst, S-83125 Ostersund, Sweden
[2] Copenhagen Business Sch, Dept Mkt, DK-2000 Frederiksberg, Denmark
[3] Aalborg Univ, Dept Culture & Learning, DK-9220 Aalborg, Denmark
关键词
tourism work; worker agency; precarity; sustainability; job crafting; human-centered agenda; PRECARIOUS WORK; HUMAN-RESOURCES; HOTEL INDUSTRY; FLEXIBILITY; HOSPITALITY; COMMUNITY; ECONOMY; POLICY;
D O I
10.3390/su13020851
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In its sustainable tourism agenda for 2030, the UN World Tourism Organization has embraced three United Nations Sustainable Development Goals. One of these, specifically SDG 8, highlights the need to pursue decent work and growth. Nevertheless, despite the growing recognition of this target and although there is a growing number of writings lamenting the precarity characterizing many tourism-related jobs, the topic of tourism-related work continues to receive sparse attention in the considerable volume of academic literature on tourism and sustainability. This paper attempts to redress this neglect. First, by providing a review of extant studies on tourism labor, we seek to explain why this research lacuna continues to exist. We then examine organizational and technological aspects of tourism governance, which hinder attempts to establish decent work and improve dignity in the tourism industry worldwide. By acknowledging the volatile and liminal status of tourism work and future labor market prospects, we arrive at the following question: what should sustainable tourism work look like? This leads us to suggest that the development of a human-centered research agenda, which focuses on workers' agency and resources, offers a promising research avenue for expanding on the tourism and sustainability research agenda.
引用
收藏
页码:1 / 15
页数:15
相关论文
共 50 条
  • [31] Decent Work: The Moral Status of Labor in Human Resource Management
    Alzola, Miguel
    JOURNAL OF BUSINESS ETHICS, 2018, 147 (04) : 835 - 853
  • [32] Decent Work: The Moral Status of Labor in Human Resource Management
    Miguel Alzola
    Journal of Business Ethics, 2018, 147 : 835 - 853
  • [33] Linking Future Decent Work Perceptions With Employment Anxiety: A Psychology of Working Perspective
    Wan, Wei
    Duffy, Ryan D. D.
    Xiong, Qing
    Wang, Chenhao
    JOURNAL OF CAREER DEVELOPMENT, 2024, 51 (01) : 3 - 19
  • [34] Knowledge and Competencies for Human-Centered and Productive AI Work Design
    Terstegen, Sebastian
    Sandrock, Stephan
    Stowasser, Sascha
    DIGITAL HUMAN MODELING AND APPLICATIONS IN HEALTH, SAFETY, ERGONOMICS AND RISK MANAGEMENT: HEALTH, OPERATIONS MANAGEMENT, AND DESIGN, PT II, 2022, 13320 : 430 - 442
  • [35] Modelling software processes as human-centered adaptive work systems
    Yilmaz, Levent
    SOFTWARE PROCESS IMPROVEMENT, PROCEEDINGS, 2007, 4764 : 148 - 159
  • [36] AI Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities
    Tocchetti, Andrea
    Corti, Lorenzo
    Balayn, Agathe
    Yurrita, Mireia
    Lippmann, Philip
    Brambilla, Marco
    Yang, Jie
    ACM COMPUTING SURVEYS, 2025, 57 (06)
  • [37] Human-centered design of work systems in the transition to industry 4.0
    Kadir, Bzhwen A.
    Broberg, Ole
    APPLIED ERGONOMICS, 2021, 92 (92)
  • [38] Ethical and Social Considerations for the Introduction of Human-Centered Technologies at Work
    Maurice, Pauline
    Allienne, Ludivine
    Malaise, Adrien
    Ivaldi, Serena
    2018 IEEE WORKSHOP ON ADVANCED ROBOTICS AND ITS SOCIAL IMPACTS (ARSO), 2018, : 131 - 138
  • [39] A Critical Evaluation of Recent Deep Generative Sketch Models from a Human-Centered Perspective
    Sabuncuoglu, Alpay
    Sezgin, T. Metin
    2022 30TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE, SIU, 2022,
  • [40] Work-centered support systems: A human-centered approach to intelligent system design
    Scott, R
    Roth, EM
    Deutsch, SE
    Malchiodi, E
    Kazmierczak, TE
    Eggleston, RG
    Kuper, SR
    Whitaker, RD
    IEEE INTELLIGENT SYSTEMS, 2005, 20 (02) : 73 - 81