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Complaint Intentions of Consumers of Pakistan Restaurant Industry

Author

Listed:
  • Kamran Mukhtiar
  • Nafees Asmat
  • Muhammad Arshad
  • Muhammad Aftab Ali
  • Hammad Ali Lodhi
  • Ather Waqas

Abstract

Purpose - The purpose of this paper is to predict which factors can determine consumer¡¯s intentions to complain when they meet service failure in restaurant industry.Design/methodology/approach ¨Cquantitative data was collected through the instrument of a survey questionnaire. Data were collected from 250 consumers to assess the Influence of attitude, subjective norm, and Self-efficacy on the intention to complain.Findings - The results show that the attitudes toward complaining and self-efficacy have significant effects on the consumer complaint intention. Also, self-efficacy of complaining is analyzed as the antecedents.Practical implications ¨C the results shows that in order to intensify the consumers attitude toward complaining in hospitality industry, service provider should encourage complaints to locate the failure and make policies to make the consumer satisfied/loyal. Here in the restaurant industry, when consumers (having high degree of self-efficacy) face faulty services, they focus on better solution in reaction to service failure by better using their expertise, skills and resources. Originality/value - In this study it has be proven that perceived attitudes toward complaint and self-efficacy are very important determinants which directly affects Consumer¡¯s intention to make complains. This study also explores the effect of self-efficacy on consumer complaints behavior and provides a more holistic view of the determinants which affect customer`s complaint behavior.

Suggested Citation

  • Kamran Mukhtiar & Nafees Asmat & Muhammad Arshad & Muhammad Aftab Ali & Hammad Ali Lodhi & Ather Waqas, 2013. "Complaint Intentions of Consumers of Pakistan Restaurant Industry," International Journal of Learning and Development, Macrothink Institute, vol. 3(6), pages 153-166, December.
  • Handle: RePEc:mth:ijld88:v:3:y:2013:i:6:p:153-166
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    References listed on IDEAS

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    1. Kieran Mathieson, 1991. "Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior," Information Systems Research, INFORMS, vol. 2(3), pages 173-191, September.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    4. Zeelenberg, M. & Pieters, R., 1999. "On service delivery that might have been : Behavioral responses to disappointment and regret," Other publications TiSEM 6596c484-f332-4f60-a96a-3, Tilburg University, School of Economics and Management.
    5. Muhammad Rizwan1 & Syed Hassan Ali & Sonia Akhter & Yasir Abbas & Anila Kanwal & Shoaib Iqbal & Waqas Aziz, 2013. "Determinants Affecting Consumer Complaining Behavoir: A Study in a University Of Pakistan," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 3(2), pages 160-174, February.
    6. Bagozzi, Richard P & Baumgartner, Hans & Yi, Youjae, 1992. "State versus Action Orientation and the Theory of Reasoned Action: An Application to Coupon Usage," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 18(4), pages 505-518, March.
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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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