IDEAS home Printed from https://ideas.repec.org/a/taf/jbemgt/v15y2014i1p153-173.html
   My bibliography  Save this article

Choosing a travel agency franchise by mean of a global composite indicator: an application in Spain

Author

Listed:
  • Francisco J. Blancas-Peral
  • Ignacio Contreras
  • José M. Ramírez-Hurtado

Abstract

This paper highlights the complexity of the franchise partner selection process from a franchisee's perspective. The purpose of this article is, firstly, to propose the definition of a system of indicators which include all the relevant information which the potential franchisee should take into consideration when choosing a chain secondly, to obtain a global composite indicator for the construction of a ranking of franchisors. In order to illustrate the procedure, a sample of travel agency franchisors in Spain and a suitable database to quantify the indicators are considered. The paper concludes constructing a complete order of the franchisors in the travel agency industry. In addition, the results show the most important characteristics of franchisors that potential franchisees must take into account. The value of the paper is significant as it provides a practical frame - work for potential franchisees in the selection of franchisors.

Suggested Citation

  • Francisco J. Blancas-Peral & Ignacio Contreras & José M. Ramírez-Hurtado, 2014. "Choosing a travel agency franchise by mean of a global composite indicator: an application in Spain," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 15(1), pages 153-173, February.
    • Handle: RePEc:taf:jbemgt:v:15:y:2014:i:1:p:153-173
    DOI: 10.3846/16111699.2012.689259
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.3846/16111699.2012.689259
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.3846/16111699.2012.689259?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Shane, Scott A., 1996. "Why franchise companies expand overseas," Journal of Business Venturing, Elsevier, vol. 11(2), pages 73-88, March.
    2. Giuseppe Munda, 2005. "“Measuring Sustainability”: A Multi-Criterion Framework," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 7(1), pages 117-134, January.
    3. Sarrico, C. S. & Dyson, R. G., 2004. "Restricting virtual weights in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 159(1), pages 17-34, November.
    4. Williams, Darrell L., 1999. "Why do entrepreneurs become franchisees? an empirical analysis of organizational choice," Journal of Business Venturing, Elsevier, vol. 14(1), pages 103-124, January.
    5. Michel Kalika, 2004. "How France`s potential franchisees reach their decisions: a comparison with franchisers perceptions," Post-Print hal-00155335, HAL.
    6. Kaufmann, Patrick J., 1999. "Franchising and the choice of self-employment," Journal of Business Venturing, Elsevier, vol. 14(4), pages 345-362, July.
    7. Jambulingam, Thani & Nevin, John R., 1999. "Influence of franchisee selection criteria on outcomes desired by the franchisor," Journal of Business Venturing, Elsevier, vol. 14(4), pages 363-395, July.
    8. Mick Carney & Eric Gedajlovic, 1991. "Vertical integration in Franchise systems: Agency theory and resource explanations," Strategic Management Journal, Wiley Blackwell, vol. 12(8), pages 607-629, November.
    9. Zhou, P. & Ang, B.W. & Poh, K.L., 2006. "Comparing aggregating methods for constructing the composite environmental index: An objective measure," Ecological Economics, Elsevier, vol. 59(3), pages 305-311, September.
    10. Giuseppe Munda & Michela Nardo, 2009. "Noncompensatory/nonlinear composite indicators for ranking countries: a defensible setting," Applied Economics, Taylor & Francis Journals, vol. 41(12), pages 1513-1523.
    11. C Kao & H-T Hung, 2005. "Data envelopment analysis with common weights: the compromise solution approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(10), pages 1196-1203, October.
    12. repec:dau:papers:123456789/3655 is not listed on IDEAS
    13. D K Despotis, 2002. "Improving the discriminating power of DEA: focus on globally efficient units," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(3), pages 314-323, March.
    14. D K Despotis, 2005. "A reassessment of the human development index via data envelopment analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(8), pages 969-980, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lozano-Oyola, Macarena & Contreras, Ignacio & Blancas, Francisco Javier, 2019. "An Operational Non-compensatory Composite Indicator: Measuring Sustainable Tourism in Andalusian Urban Destinations," Ecological Economics, Elsevier, vol. 159(C), pages 1-10.

    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. Mónica Domínguez-Serrano & Francisco Blancas, 2011. "A Gender Wellbeing Composite Indicator: The Best-Worst Global Evaluation Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 102(3), pages 477-496, July.
    2. Oliveira, Renata & Zanella, Andreia & Camanho, Ana S., 2019. "The assessment of corporate social responsibility: The construction of an industry ranking and identification of potential for improvement," European Journal of Operational Research, Elsevier, vol. 278(2), pages 498-513.
    3. Milica Maricic & Jose A. Egea & Veljko Jeremic, 2019. "A Hybrid Enhanced Scatter Search—Composite I-Distance Indicator (eSS-CIDI) Optimization Approach for Determining Weights Within Composite Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(2), pages 497-537, July.
    4. Gonzalez-Diaz, Manuel & Solis-Rodriguez, Vanesa, 2012. "Why do entrepreneurs use franchising as a financial tool? An agency explanation," Journal of Business Venturing, Elsevier, vol. 27(3), pages 325-341.
    5. S. Verbieren & M. Cools & A. Van den Abbeele, 2008. "Franchising. A Literature Review on Management and Control Issues," Review of Business and Economic Literature, KU Leuven, Faculty of Economics and Business (FEB), Review of Business and Economic Literature, vol. 0(4), pages 398-443.
    6. Jesús Peiró-Palomino & Andrés J. Picazo-Tadeo, 2018. "Assessing well-being in European regions. Does government quality matter?," Working Papers 2018/06, Economics Department, Universitat Jaume I, Castellón (Spain).
    7. Dhruv Grewal & Gopalkrishnan R. Iyer & Rajshekhar (Raj) G. Javalgi & Lori Radulovich, 2011. "Franchise Partnership and International Expansion: A Conceptual Framework and Research Propositions," Entrepreneurship Theory and Practice, , vol. 35(3), pages 533-557, May.
    8. Francine Lafontaine & Marek Zapletal & Xu Zhang, 2019. "Brighter prospects? Assessing the franchise advantage using census data," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 28(2), pages 175-197, April.
    9. Jorge Guardiola & Andrés J. Picazo-Tadeo, 2013. "Weighting life domains with Data Envelopment Analysis," Working Papers 1311, Department of Applied Economics II, Universidad de Valencia.
    10. Salvatore Greco & Alessio Ishizaka & Menelaos Tasiou & Gianpiero Torrisi, 2019. "On the Methodological Framework of Composite Indices: A Review of the Issues of Weighting, Aggregation, and Robustness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 61-94, January.
    11. Chris Tofallis, 2024. "Objective Weights for Scoring: The Automatic Democratic Method," Papers 2409.02087, arXiv.org.
    12. Ernest Reig, 2012. "Building an Enlarged Human Development Indicator: Europe and the Southern Mediterranean Basin," Working Papers 1203, Department of Applied Economics II, Universidad de Valencia.
    13. Cantone, Giulio Giacomo & Tomaselli, Venera, 2024. "On the Coherence of Composite Indexes: Multiversal Model and Specification Analysis for an Index of Well-Being," MetaArXiv d5y26, Center for Open Science.
    14. Tom Puyenbroeck, 2018. "On the Output Orientation of the Benefit-of-the-Doubt-Model," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 139(2), pages 415-431, September.
    15. Ernest Reig-Martínez, 2013. "Social and Economic Wellbeing in Europe and the Mediterranean Basin: Building an Enlarged Human Development Indicator," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 111(2), pages 527-547, April.
    16. Jesús Peiró‐Palomino & Andrés J. Picazo‐Tadeo & Vicente Rios, 2020. "Well‐being in European regions: Does government quality matter?," Papers in Regional Science, Wiley Blackwell, vol. 99(3), pages 555-582, June.
    17. Jorge Guardiola & Andrés Picazo-Tadeo, 2014. "Building Weighted-Domain Composite Indices of Life Satisfaction with Data Envelopment Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 117(1), pages 257-274, May.
    18. L Cherchye & W Moesen & N Rogge & T Van Puyenbroeck & M Saisana & A Saltelli & R Liska & S Tarantola, 2008. "Creating composite indicators with DEA and robustness analysis: the case of the Technology Achievement Index," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(2), pages 239-251, February.
    19. Hatefi, S.M. & Torabi, S.A., 2010. "A common weight MCDA-DEA approach to construct composite indicators," Ecological Economics, Elsevier, vol. 70(1), pages 114-120, November.
    20. P. Zhou & B. Ang & D. Zhou, 2010. "Weighting and Aggregation in Composite Indicator Construction: a Multiplicative Optimization Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 96(1), pages 169-181, March.

    More about this item

    Statistics

    Access and download statistics

    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:taf:jbemgt:v:15:y:2014:i:1:p:153-173. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TBEM20 .

    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.