Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

A Fuzzy Based Analysis Of Consumer Satisfaction Among The Electricity Consumers For Improving Consumer Relationship Management


Affiliations
1 Student, Department of Executive Management, Indian Institute of Social Welfare and Business Management, Management House, College Square West, Kolkata, West Bengal,, India
2 Professor & Head, Department of Executive Management, Indian Institute of Social Welfare and Business Management, Management House, College Square West, Kolkata, West Bengal, India
     

   Subscribe/Renew Journal


The objective of this study is to measure and analyze consumers’ satisfaction of electricity users (domestic) in Kolkata and its surrounding area depending upon various factors, such as the quality of services, supply restoration time, behavior of the Meter Inspectors and the pricing policy, billing system, bill payment systems and corporate imagery and consumer relationship. The present research was conducted with the use of a specially developed website questionnaire containing thirteen questions and consumers feedbacks were collected from February to March, 2021. The results were analyzed with a Fuzzy logic based consumer satisfaction index (CSI) developed by using the data obtained from the responses of the consumer feedback. Areas of improvements have been identified and mapped on the basis of survey results and to take corrective actions accordingly as recommended to enhance consumer satisfaction and consumer loyalty, which is the main purpose of the project work. This empirical study may serve as a reference for Any electricity provider who desires to carry out similar studies in the future.

Keywords

Consumer Satisfaction, Consumer Relationship Management, Electricity, Fuzzy Logic, Performance Parameter, West Bengal
Subscription Login to verify subscription
User
Notifications
Font Size


  • Bitner, M. (1990). Evaluating service encounters: The effects of physical surroundings and employee responses.J. Mark., 54, 69-82.
  • Bolton, R. N., & Drew, J. H. (1991). A multistage model of consumers’ assessment of service quality and value. J.Consum. Res., 17, 375-384.
  • Caceres, C. R., & Paparoidamis, N. G. (2007). Service quality, relationship satisfaction, trust, commitment and business-to-business loyalty. Eur. J. Mark., 41, 836-867.
  • Carrillat, F. A., Jaramillo, F., & Mulki, J. P. (2009).Examining the impact of service quality: A meta- analysis of empirical evidence. J. Mark. Theory Pr., 17, 95-110.
  • Chenet, P., Dagger, T. S., & O’ Sullivan, D. (2010). Service quality, trust, commitment and service differentiation in business relationships. J. Serv. Mark., 24, 336-346.
  • Cheng, B., Gan, C., Imrie, B., & Mansori, S. (2019). Service recovery, consumer satisfaction and consumer loyalty: Evidence from Malaysia’s hotel industry. Int. J. Qual.Serv. Sci. 11, 187-203.
  • Drosos, D., Skordoulis, M., & Chalikias, M. (2019). Measuring the impact of consumer satisfaction on business profitability: An empirical study. Int. J. Technol. Mark., 13, 143-155.
  • Drosos, D., & Tsotsolas, N. (2014). Consumer satisfaction evaluation for Greek online travel agencies. In D. Yannacopoulos, P. Manolitzas, N. Matsatsinis and E.
  • Grigoroudis (Eds.), Evaluating Websites and Web Services: Interdisciplinary Perspectives on User Satisfaction (pp.119-137). PA, USA: IGI Global: Pennsylvania.
  • Drosos, D., Tsotsolas, N., Skordoulis, M., & Chalikias, M. (2018). Patient satisfaction analysis using a multi-criteria analysis method: The case of the NHS in Greece. Int. J. Prod. Qual. Manag., 25, 491-505.
  • Fang, Y. H., Chiu, C. M., & Wang, E. T. (2011). Understanding consumers’ satisfaction and repurchase intentions: An integration of is success model, trust, and justice. Internet Res., 21, 479-503.
  • Fombrun, C., & Shanley, M. (1990). What’s in a name: Reputations building and corporate strategy. Academy of Management Journal, 33(2), 233-258.
  • Fornell, C., Johnson, M. D., Anderson, E. W., Cha, J., & Bryant, B. E. (1996). The American consumer satisfaction index: Nature, purpose and findings. J. Mark., 60, 7-18.
  • Garg, R., Rahman, Z., & Qureshi, M. N. (2014). Measuring consumer experience in banks: Scale development and validation. Journal of Modelling in Management, 9(1), 87-117.
  • Golovkova, A., Eklof, J., Malova, A., & Podkorytova, O. (2019). Consumer satisfaction index and financial performance: A European cross country study. Int. J. Bank Mark., 37, 479-491.
  • Grönroos, C. (2000). Service management and marketing: A consumer relationship management approach (2nd ed.). Hoboken, NJ, USA: Wiley.
  • Grönroos, C. (1984). A service quality model and its marketing implications. Eur. J. Mark., 18, 36-44.
  • Grönroos, C. (1982). An applied service marketing theory. Eur. J. Mark., 16, 30-41.
  • Hussain, R., Al Nasser, A., & Hussain, Y. K. (2015). Service quality and consumer satisfaction of a UAE-based airline: An empirical investigation. J. Air Transp. Manag. 42, 167-175.
  • Iqbal, M. S., Hassan, M. U., & Habibah, U. (2018). Impact of self-service technology (SST) service quality on consumer loyalty and behavioral intention: The mediating role of consumer satisfaction. Cogent Bus. Manag., 5, 799-813.
  • Jin, C. H., & Yeo, H.-C. (2011). Satisfaction, corporate credibility, CEO reputation and leadership effects on public relationships. Journal of Targeting, Measurement and Analysis for Marketing, 19(2), 127-140.
  • Kadlubek, M., & Grabara, J. (2015). Consumers’ expectations and experiences within chosen aspects of logistic consumer service quality. Int. J. Qual. Res., 9, 265-278.
  • Kotler, P. (1991). Marketing management: Analysis, planning, implementation, and control. NJ, USA: Prentice Hall: Englewood Cliffs.
  • Kotler, P., & Armstrong, G. (2012). Principles of marketing (14th ed.). Essex, UK: Pearson Education Limited.
  • Letcher, D., & Neves, J. (2010). Determinants of undergraduate business student satisfaction. Res. High. Educ. J., 6. p. 1.
  • Miranda, S., Tavares, P., & Queiró, R. (2018). Perceived service quality and consumer satisfaction: A fuzzy set QCA approach in the railway sector. J. Bus. Res., 89, 371-377.
  • Oliver, R. L. (1993). Cognitive, affective and attribute bases of the satisfaction response. J. Consum. Res., 20, 418-430.
  • Oliver, R. L., & DeSarbo, W. S. (1988). Response determinants in satisfaction judgments. J. Consum. Res., 14, 495-507.
  • Parasuraman, A., Zeithaml, V., & Berry, L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. J. Retail, 64, 12-40.
  • Parasuraman, A., Zeithaml, V., & Berry, L. (1994). Reassessment of expectations as a comparison standard in measuring service quality: Implications for future research. J. Mark. 58, 111-124.
  • Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A conceptual model of service quality and its implications for future research. J. Mark., 49, 41-50.
  • Park, E. (2019). The role of satisfaction on consumer reuse to airline services: An application of big J. Retail. Consum. Serv., 47, 370-374.
  • Sharma, H. (2010). Modeling consumer perceived service quality for electricity supply in South Haryana. International Journal of Business and Management Science, 3(1), 73-91.
  • Sitorus, T., & Yustisia, M. (2018). The influence of service quality and consumer trust toward consumer loyalty: The role of consumer satisfaction. Int. J. Qual. Res., 12, 639–654.
  • Sullivan, M. J., Vardell, T., Suddeth, B. N., & Vojdani, A. (1996). Interruption costs, consumer satisfaction and expectations for service reliability. IEEE Transactions on Power Systems, 11(2), 989-995.
  • Tsafarakis, S., Kokotas, S., & Pantouvakis, A. (2018). A multiple criteria approach for airline passenger satisfaction measurement and service quality improvement. J. Air Transp. Manag., 68, 61-75.
  • Van Riel, A. C., Semeijn, J., Ribbink, D., & Bomert-Peters, Y. (2012). Waiting for service at the checkout: Negative emotional responses, store image and overall satisfaction. Journal of Service Management, 23(2), 144-169.
  • Yi, Y. (1990). A critical review of consumer satisfaction. In V. A. Zeithaml ( Ed.). Review of Marketing (pp. 68-123) Chicago, IL, USA: American Marketing Association.
  • Zerva, A., Tsantopoulos, G., Grigoroudis, E., & Arabatzis, G. (2018). Perceived citizens’ satisfaction with climate change stakeholders using a multicriteria decision analysis approach. Environ. Sci. Policy, 82, 60-70.

Abstract Views: 206

PDF Views: 0




  • A Fuzzy Based Analysis Of Consumer Satisfaction Among The Electricity Consumers For Improving Consumer Relationship Management

Abstract Views: 206  |  PDF Views: 0

Authors

Raju Sikdar
Student, Department of Executive Management, Indian Institute of Social Welfare and Business Management, Management House, College Square West, Kolkata, West Bengal,, India
Sarbani Mitra
Professor & Head, Department of Executive Management, Indian Institute of Social Welfare and Business Management, Management House, College Square West, Kolkata, West Bengal, India

Abstract


The objective of this study is to measure and analyze consumers’ satisfaction of electricity users (domestic) in Kolkata and its surrounding area depending upon various factors, such as the quality of services, supply restoration time, behavior of the Meter Inspectors and the pricing policy, billing system, bill payment systems and corporate imagery and consumer relationship. The present research was conducted with the use of a specially developed website questionnaire containing thirteen questions and consumers feedbacks were collected from February to March, 2021. The results were analyzed with a Fuzzy logic based consumer satisfaction index (CSI) developed by using the data obtained from the responses of the consumer feedback. Areas of improvements have been identified and mapped on the basis of survey results and to take corrective actions accordingly as recommended to enhance consumer satisfaction and consumer loyalty, which is the main purpose of the project work. This empirical study may serve as a reference for Any electricity provider who desires to carry out similar studies in the future.

Keywords


Consumer Satisfaction, Consumer Relationship Management, Electricity, Fuzzy Logic, Performance Parameter, West Bengal

References