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Identifying and Ranking the Factors Affecting Honoring Customers in the Metropolitan Municipalities - Case Study of Tehran Municipality

Received: 5 November 2017     Accepted: 20 November 2017     Published: 19 January 2018
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Abstract

The study is aimed to determine effective factors in respecting to clients by municipality's metropolitan authorities and grouping them into two groups of staff and city management organization to form the first step of the process on this basis. The research methodology based on conceptual model and on the thematic literature and the research carried out through 34 factors initially in two sections of staff and organization group by registration of the main variables and related data in the software, 306 regulatory questionnaires in Likert spectrum the correct data was initiated and ready to conformity factor analysis. The first output is the index value of the Bartlett test statistic equal to 0.882 (close to number 1) which shows the number of samples (in this example number of respondents) is sufficient for factor analysis. Also, sig value of Bartlett's test is less than 5%, which indicates that the factor analysis is appropriate for identifying the structure, factorial model. The number of variables is reduced from 34 to 30 based on final subscription value (less than 0.5). As a result, the final variables affecting respect on client by metropolitan municipality according to the proposed model are divided into 17 variables in the organization main factor group and 13 variables in employees factor group.

Published in International Journal of Law and Society (Volume 1, Issue 2)
DOI 10.11648/j.ijls.20180102.13
Page(s) 72-76
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2018. Published by Science Publishing Group

Keywords

Municipality Service Receivers, Satisfaction of Clients, Employee Level Factors, Organization Level Factors, Urban Management

References
[1] Ang Liu, Stephen. Lu, Wei Wei. (2014).’ “A New Framework of Ideation-oriented Customer Involvement”. Procedia CIRP Publication, Journal of Elsevier, Volume 21, 2014, Pages 521-526.
[2] Abtahi, h. (2004), “Improvement of human resources managemeent”, Iran Industrial Development and Renovation Organization. Tehran.
[3] Amani, n. (2009). “A Comprehensive Book of honoring customers in the municipality of Tehran”. Alesamad Publication, Tehran. Iran.
[4] Azimi, a. (2016). “Municipality jihad management and promotion of productivity with the aim of sustainable urban economy”, Partoe vaghe Publication. Tehran. Iran.
[5] Aydın, Cengiz Hakan Tasci, Deniz. (2005). “Measuring Readiness for e-Learning”: Reflections from an Emerging Country. Educational Technology & Society, 8 (4), 244-257.
[6] Anderson, t. (2005), “Dissatisfaction with public service” firth published; Open University press, p. 35.
[7] Baber, W. R., Gore, A. K., Rich, K. T., & Zhang, J. X. (2013). Accounting restatements, governance and municipal debt financing. Journal of Accounting and Economics, 56(2), 212–227.
[8] Bergstresser, D., Cohen, R., & Shenai, S. (2013). Demographic fractionalization and the municipal bond market. Municipal Finance Journal, 34(3), 1–38.
[9] Cuny, C.(2016). Voluntary disclosure incentives: Evidence from the municipal bond market. Journal of Accounting and Economics, 62(1), 87–102.
[10] Campello, M. Gao, J. (2017). “Customer concentration and loan contract terms”. Journal of Elsevier, Volume 123, Issue 1, Pages 108-136.
[11] Dasgupta, C. Pungaliya, E. (2015). “Reputation and loan contract terms: the role of principal customers”. Jouranal of Review of Finance, 14 (2015), pp. 1-33.
[12] Hawari, M. (2012). Automated serv ice quality as a predictor of customers’ commitment: A practical study within the UAE retail banking context. Asia Pacific Journal of Marketing and Logistics, Vol. 23, pp. 346-366.
[13] Kazemi, m. Abaspour, m. Asgaripour, h. (2013). “Identifying and defining the factors influencing customer reliance by using hierarchical analysis techniques”. Conference on Challenges and Solutions Management, Shiraz, Iran.
[14] Lee, C. K. and Song, H. J. and Lee, H. M. and Lee, S. and Bernhard, B. J. (2015). “The impact of CSR on casino employees” organizational trust, job satisfaction, and customer orientation: An empirical examination of responsible gambling strategies. International Journal of Hospitality Management, Vol. 33, pp. 406-415.
[15] Liang, R. D. and Zhang, J. S. (2014). The effect of service interaction orientation on customer satisfaction and behavioral intention: The moderating effect of dining frequency. Asia Pacific Journal of Marketing and Logistics, Vol. 24, pp. 153-170.
[16] Momeni, m. Ghayomi, f. (2008). “Statistical analysis using software”. new Book Publication. Volume 2. Tehran. Iran.
[17] Mohamadi, a. (2003). “Customer Orientation management system”. rasa publication, Volume 4. Tehran, Iran.
[18] Rachelle, J. Shannahan, Alan J. Bush, Kirby L. J. (2017). “How salesperson perceptions of customers' pro-social behaviors help drive salesperson performance”. Industrial Marketing Management Publication. Journal of Elsevier, Volume 62, April 2017, Pages 36-50.
[19] Sowa, P. Bargiel, J. (2016). “Ways of Improving the Reliability of Supply of Selected Important Municipal Customers in Municipalities”. Journal of Acta Energetica, Vol 1, pages 93-97.
[20] Schultz, P. (2013). The market for new issues of municipal bonds: The roles of transparency and limited access to retail investors. Journal of Financial Economics, 106(3), 492–512.
[21] Syverson, C. (2004). "Productivity Substitutability & Productivity dispersion", Review of Economics and Statistics, p 534, London.
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  • APA Style

    Esfandiar Doshman Ziari, Ebrahim Kazemi, Behdad Mirafshar, Amir Rashidi, Vahideh Pourahad. (2018). Identifying and Ranking the Factors Affecting Honoring Customers in the Metropolitan Municipalities - Case Study of Tehran Municipality. International Journal of Law and Society, 1(2), 72-76. https://doi.org/10.11648/j.ijls.20180102.13

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    ACS Style

    Esfandiar Doshman Ziari; Ebrahim Kazemi; Behdad Mirafshar; Amir Rashidi; Vahideh Pourahad. Identifying and Ranking the Factors Affecting Honoring Customers in the Metropolitan Municipalities - Case Study of Tehran Municipality. Int. J. Law Soc. 2018, 1(2), 72-76. doi: 10.11648/j.ijls.20180102.13

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    AMA Style

    Esfandiar Doshman Ziari, Ebrahim Kazemi, Behdad Mirafshar, Amir Rashidi, Vahideh Pourahad. Identifying and Ranking the Factors Affecting Honoring Customers in the Metropolitan Municipalities - Case Study of Tehran Municipality. Int J Law Soc. 2018;1(2):72-76. doi: 10.11648/j.ijls.20180102.13

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  • @article{10.11648/j.ijls.20180102.13,
      author = {Esfandiar Doshman Ziari and Ebrahim Kazemi and Behdad Mirafshar and Amir Rashidi and Vahideh Pourahad},
      title = {Identifying and Ranking the Factors Affecting Honoring Customers in the Metropolitan Municipalities - Case Study of Tehran Municipality},
      journal = {International Journal of Law and Society},
      volume = {1},
      number = {2},
      pages = {72-76},
      doi = {10.11648/j.ijls.20180102.13},
      url = {https://doi.org/10.11648/j.ijls.20180102.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijls.20180102.13},
      abstract = {The study is aimed to determine effective factors in respecting to clients by municipality's metropolitan authorities and grouping them into two groups of staff and city management organization to form the first step of the process on this basis. The research methodology based on conceptual model and on the thematic literature and the research carried out through 34 factors initially in two sections of staff and organization group by registration of the main variables and related data in the software, 306 regulatory questionnaires in Likert spectrum the correct data was initiated and ready to conformity factor analysis. The first output is the index value of the Bartlett test statistic equal to 0.882 (close to number 1) which shows the number of samples (in this example number of respondents) is sufficient for factor analysis. Also, sig value of Bartlett's test is less than 5%, which indicates that the factor analysis is appropriate for identifying the structure, factorial model. The number of variables is reduced from 34 to 30 based on final subscription value (less than 0.5). As a result, the final variables affecting respect on client by metropolitan municipality according to the proposed model are divided into 17 variables in the organization main factor group and 13 variables in employees factor group.},
     year = {2018}
    }
    

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  • TY  - JOUR
    T1  - Identifying and Ranking the Factors Affecting Honoring Customers in the Metropolitan Municipalities - Case Study of Tehran Municipality
    AU  - Esfandiar Doshman Ziari
    AU  - Ebrahim Kazemi
    AU  - Behdad Mirafshar
    AU  - Amir Rashidi
    AU  - Vahideh Pourahad
    Y1  - 2018/01/19
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    N1  - https://doi.org/10.11648/j.ijls.20180102.13
    DO  - 10.11648/j.ijls.20180102.13
    T2  - International Journal of Law and Society
    JF  - International Journal of Law and Society
    JO  - International Journal of Law and Society
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    EP  - 76
    PB  - Science Publishing Group
    SN  - 2640-1908
    UR  - https://doi.org/10.11648/j.ijls.20180102.13
    AB  - The study is aimed to determine effective factors in respecting to clients by municipality's metropolitan authorities and grouping them into two groups of staff and city management organization to form the first step of the process on this basis. The research methodology based on conceptual model and on the thematic literature and the research carried out through 34 factors initially in two sections of staff and organization group by registration of the main variables and related data in the software, 306 regulatory questionnaires in Likert spectrum the correct data was initiated and ready to conformity factor analysis. The first output is the index value of the Bartlett test statistic equal to 0.882 (close to number 1) which shows the number of samples (in this example number of respondents) is sufficient for factor analysis. Also, sig value of Bartlett's test is less than 5%, which indicates that the factor analysis is appropriate for identifying the structure, factorial model. The number of variables is reduced from 34 to 30 based on final subscription value (less than 0.5). As a result, the final variables affecting respect on client by metropolitan municipality according to the proposed model are divided into 17 variables in the organization main factor group and 13 variables in employees factor group.
    VL  - 1
    IS  - 2
    ER  - 

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Author Information
  • Department of Management, College of Humanities, Islamic Azad University, Tehran, Iran

  • Department of Commercial Management, Islamic Azad University, Electronic Branch, Tehran, Iran

  • Department of Information and Technology of Management, Electronic Branch, Islamic Azad University, Tehran, Iran

  • Department of Culture of Management, Science and Research Branch, Islamic Azad University, Tehran, Iran

  • Department of Mine Engineering, Bahonar, Kerman University, Kerman, Iran

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