IDEAS home Printed from https://ideas.repec.org/a/sae/toueco/v27y2021i1p220-242.html
   My bibliography  Save this article

Travel agent’s tour selection and sightseeing bus schedule for group package tour planning

Author

Listed:
  • Peng-Sheng You

    (63107National Chiayi University, Taiwan)

  • Ming-Hsiang Chen

    (Nanjing Xiaozhuang University, China; 33912Washington State University, USA; Anhui University of Finance and Economics, China)

  • Ching-Hui (Joan) Su

    (1177Iowa State University, USA)

Abstract

Two problems plague the tourism industry: (1) a scheduled group package tour (GPT) can be canceled if the number of reserved passengers does not reach a minimum number and (2) a customer’s request for a scheduled GPT will be denied once the number of reserved passengers has reached its maximum. Neither instance is desirable, because of both results in lost sales. To generate higher profit over the course of a sightseeing season, travel agent managers must schedule GPTs on suitable dates and determine the number of sightseeing buses needed. Viewing this as a portfolio selection problem, this research develops an integer programming model to arrive at an equitable solution. We offer several numerical examples to illustrate the model’s performance and the problem’s characteristics. The results show that the proposed model significantly increases revenues.

Suggested Citation

  • Peng-Sheng You & Ming-Hsiang Chen & Ching-Hui (Joan) Su, 2021. "Travel agent’s tour selection and sightseeing bus schedule for group package tour planning," Tourism Economics, , vol. 27(1), pages 220-242, February.
  • Handle: RePEc:sae:toueco:v:27:y:2021:i:1:p:220-242
    DOI: 10.1177/1354816619887860
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1354816619887860
    Download Restriction: no

    File URL: https://libkey.io/10.1177/1354816619887860?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Jin, Liyin & He, Yanqun & Song, Haiyan, 2012. "Service customization: To upgrade or to downgrade? An investigation of how option framing affects tourists’ choice of package-tour services," Tourism Management, Elsevier, vol. 33(2), pages 266-275.
    2. Chand, Mohinder & Katou, Anastasia A., 2012. "Strategic determinants for the selection of partner alliances in the Indian tour operator industry: A cross-national study," Journal of World Business, Elsevier, vol. 47(2), pages 167-177.
    3. Batabyal, Amitrajeet A. & Yoo, Seung Jick, 2010. "A probabilistic analysis of guided tours for tourists during the slack season," Tourism Management, Elsevier, vol. 31(4), pages 482-485.
    4. Luan, Jing & Yao, Zhong & Zhao, Futao & Song, Xin, 2019. "A novel method to solve supplier selection problem: Hybrid algorithm of genetic algorithm and ant colony optimization," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 156(C), pages 294-309.
    5. Chen, Yong & Mak, Barry & Li, Zhou, 2013. "Quality deterioration in package tours: The interplay of asymmetric information and reputation," Tourism Management, Elsevier, vol. 38(C), pages 43-54.
    6. Eichner, Thomas, 2011. "Portfolio selection and duality under mean variance preferences," Insurance: Mathematics and Economics, Elsevier, vol. 48(1), pages 146-152, January.
    7. Wang, Kuo-Ching & Ma, Ai-Ping & Hsu, Mei-Ting & Jao, Po-Chen & Lin, Ching-Wen, 2013. "Seniors' perceptions of service features on outbound group package tours," Journal of Business Research, Elsevier, vol. 66(8), pages 1021-1027.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pannee Suanpang & Pitchaya Jamjuntr & Kittisak Jermsittiparsert & Phuripoj Kaewyong, 2022. "Tourism Service Scheduling in Smart City Based on Hybrid Genetic Algorithm Simulated Annealing Algorithm," Sustainability, MDPI, vol. 14(23), pages 1-21, December.
    2. Changbyung Yoon & Keeeun Lee & Byungun Yoon & Omar Toulan, 2017. "Typology and Success Factors of Collaboration for Sustainable Growth in the IT Service Industry," Sustainability, MDPI, vol. 9(11), pages 1-20, November.
    3. Zhang, Hong & Nguyen, Hoang & Bui, Xuan-Nam & Pradhan, Biswajeet & Mai, Ngoc-Luan & Vu, Diep-Anh, 2021. "Proposing two novel hybrid intelligence models for forecasting copper price based on extreme learning machine and meta-heuristic algorithms," Resources Policy, Elsevier, vol. 73(C).
    4. Tsaur, Sheng-Hshiung & Teng, Hsiu-Yu, 2017. "Exploring tour guiding styles: The perspective of tour leader roles," Tourism Management, Elsevier, vol. 59(C), pages 438-448.
    5. Sarat Kumar Jena & Deepti Jog, 2017. "Price competition in a tourism supply chain," Tourism Economics, , vol. 23(6), pages 1235-1254, September.
    6. Wen, Tong & Leung, Xi Y. & Li, Bin & Hu, Lingyan, 2021. "Examining framing effect in travel package purchase: An application of double-entry mental accounting theory," Annals of Tourism Research, Elsevier, vol. 90(C).
    7. Beamish, Paul W. & Lupton, Nathaniel C., 2016. "Cooperative strategies in international business and management: Reflections on the past 50 years and future directions," Journal of World Business, Elsevier, vol. 51(1), pages 163-175.
    8. Xiaxia Ma & Wenliang Bian & Wenchao Wei & Fei Wei, 2022. "Customer-Centric, Two-Product Split Delivery Vehicle Routing Problem under Consideration of Weighted Customer Waiting Time in Power Industry," Energies, MDPI, vol. 15(10), pages 1-23, May.
    9. Stephan Hankammer & Robin Kleer & Frank T. Piller, 2021. "Sustainability nudges in the context of customer co-design for consumer electronics," Journal of Business Economics, Springer, vol. 91(6), pages 897-933, August.
    10. Jadoon, Ihtesham & Raja, Muhammad Asif Zahoor & Junaid, Muhammad & Ahmed, Ashfaq & Rehman, Ata ur & Shoaib, Muhammad, 2021. "Design of evolutionary optimized finite difference based numerical computing for dust density model of nonlinear Van-der Pol Mathieu’s oscillatory systems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 181(C), pages 444-470.
    11. Alfredo Coelho & Victor Manuel Castillo-Girón, 2020. "The Medium of Exchange in Mergers and Acquisitions: The Cases of Travel Agencies and Tour Operators," Administrative Sciences, MDPI, vol. 10(4), pages 1-13, November.
    12. Camisón, César & Forés, Beatriz, 2015. "Is tourism firm competitiveness driven by different internal or external specific factors?: New empirical evidence from Spain," Tourism Management, Elsevier, vol. 48(C), pages 477-499.
    13. Sedighizadeh, Davoud & Masehian, Ellips & Sedighizadeh, Mostafa & Akbaripour, Hossein, 2021. "GEPSO: A new generalized particle swarm optimization algorithm," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 179(C), pages 194-212.
    14. Wong, Alfred & Wei, Lu & Yang, Jie & Tjosvold, Dean, 2017. "Productivity and participation values for cooperative goals to limit free riding and promote performance in international joint ventures," Journal of World Business, Elsevier, vol. 52(6), pages 819-830.
    15. Dinesh Karunanidy & Subramanian Ramalingam & Ankur Dumka & Rajesh Singh & Mamoon Rashid & Anita Gehlot & Sultan S. Alshamrani & Ahmed Saeed AlGhamdi, 2022. "JMA: Nature-Inspired Java Macaque Algorithm for Optimization Problem," Mathematics, MDPI, vol. 10(5), pages 1-28, February.
    16. Leila Agha Kasiri & Shaheen Mansori, 2016. "Standardization, customization, and customer loyalty in service industry," Journal of Marketing Analytics, Palgrave Macmillan, vol. 4(2), pages 66-76, July.
    17. Tsaur, Ruey-Chyn & Chen, Chyoug-Hwa, 2018. "Strategies for cross-border travel supply chains: Gaming chinese group tours to Taiwan," Tourism Management, Elsevier, vol. 64(C), pages 154-169.
    18. Kasiri, Leila Agha & Guan Cheng, Kenny Teoh & Sambasivan, Murali & Sidin, Samsinar Md., 2017. "Integration of standardization and customization: Impact on service quality, customer satisfaction, and loyalty," Journal of Retailing and Consumer Services, Elsevier, vol. 35(C), pages 91-97.
    19. Zeng, Tian & Botella-Carrubi, Dolores, 2023. "Improving societal benefit through transformative consumer research: A descriptive review," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    20. Jiatao Li & Zhenzhen Xie, 2016. "Governance Structure and the Creation and Protection of Technological Competencies: International R&D Joint Ventures in China," Management International Review, Springer, vol. 56(1), pages 123-148, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:toueco:v:27:y:2021:i:1:p:220-242. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.