The research explores residential electricity consumer satisfaction and service quality in Lucknow, Uttar Pradesh. Leveraging diverse literature, a comprehensive survey methodology was employed, analysing 277 respondents' data. Findings indicate correlations between education, income, and appliance usage. The introduction of pre-paid meters shows potential for expense management, yet uncertainties persist. Recommendations include broadening the research scope and conducting longitudinal studies. Limitations include sample representativeness and potential survey bias. This study provides valuable insights for policymakers and utility providers aiming to enhance service quality and customer satisfaction in residential electricity supply.

Conduct a comprehensive analysis of customer satisfaction and service quality in residential electricity supply in Lucknow, Uttar Pradesh, focusing on factors such as education, income, appliance usage, and the introduction of pre-paid meters.

1. Investigate the dynamics of residential electricity consumption patterns and satisfaction levels in Lucknow, Uttar Pradesh, considering factors like education, income, and appliance usage.

2. Analyze the impact of pre-paid meters on expense management and customer satisfaction, addressing uncertainties and potential benefits.

3. Explore correlations between education, income, and appliance usage, offering insights into consumer behavior and preferences.

4. Provide recommendations for policymakers and utility providers to enhance service quality and customer satisfaction, including broader research scopes and longitudinal studies.

5. Address limitations such as sample representativeness and potential survey bias, offering suggestions for future research methodologies and data collection techniques.

The literature surveyed for this paper encompasses diverse facets of customer satisfaction, service quality, and residential electricity supply. These reviewed research papers serve as valuable references for investigations into customer satisfaction and service quality within the residential sector. In this literature review, we leverage a carefully chosen selection of research papers to offer insights into a comprehensive analysis of customer satisfaction and service quality in residential electricity supply specific to the context of Lucknow.

"Assessing Residential Customer Satisfaction with the Quality of Electricity Supply" by J.M. Koopman, H.J. Heijmans, and P.R. Waeijen (Energy Policy, 2009) examines factors influencing residential customer satisfaction with electricity supply quality. "A study of service quality, customer satisfaction and loyalty in Indian commercial banking" by Ravindra Chitturi and K. S. Raju (International Journal of Information Management, 2009) offers insights that can be adapted to the electricity sector. "Customer satisfaction in the electric utility industry: the service profit chain" by George R. Franke and Peter R. Earl (Energy Policy, 2017) explores the relationship between customer satisfaction and profitability in the electric utility industry. "Assessment of Service Quality in Indian Residential Electricity Distribution" by Gireesh B. Pradhan and Siddhartha K. Khaitan (International Journal of Energy Sector Management, 2017) focuses on assessing service quality in residential electricity distribution. "Customer satisfaction with power supply in the Indian state of Kerala" by Jisha, M. S., and Kumar, P. S. (Energy Policy, 2018) provides insights into customer satisfaction with power supply in an Indian state, offering relevant findings for Lucknow. "Service quality and customer satisfaction in the South African residential electricity sector" by Ntombizandile B. Mtimkulu and Alina I. Baloyi (Renewable and Sustainable Energy Reviews, 2021) investigates service quality and customer satisfaction in the South African context, potentially providing comparative insights. "Assessment of electricity service quality: A customer survey of a public distribution company in India" by Alok Kumar Prasad and Debasis Mishra (Energy Policy, 2020) offers insights into electricity service quality assessment through a customer survey. "Evaluating Customer Satisfaction in the Indian Residential Electricity Sector" by Ravi S. Sharma, S.R. Chakravarthy, and S.V. Raghavendran (Procedia Engineering, 2014) explores the evaluation of customer satisfaction in the Indian residential electricity sector, potentially applicable to Lucknow. "Smart Grid and Residential Customer Satisfaction: A Theoretical Framework" by Shanmukha Sree and Gopal Gampa (Procedia Computer Science, 2015) provides a theoretical framework for understanding the impact of smart grids on residential customer satisfaction. Lastly, "Impact of Smart Grid Implementation on Residential Electricity Customers: Evidence from a U.S. Pilot program" by Matt Woelfel and Gerrit Hoogenboom (Energy Policy, 2019) investigates the impact of smart grid implementation on residential electricity customers and offers evidence from a U.S. pilot program. These papers collectively contribute to the existing knowledge and provide a foundation for understanding customer satisfaction and service quality in residential electricity supply, both in a global and regional context.

Identifying gaps in the existing literature is crucial for defining the scope of your research. These gaps could include limited research in the context of Lucknow, specific service quality parameters not adequately addressed, or the absence of studies considering recent technological advancements in electricity supply.

The methodology employed for this research involved a comprehensive primary survey aimed at elucidating the factors influencing electricity customer satisfaction and service quality in Uttar Pradesh, with a specific focus on the urban centre of Lucknow.

Survey Design: The survey design for studying consumer satisfaction in Lucknow is robust and tailored. It employs a structured questionnaire across four categories, with a strategic sample size. The cross-sectional approach provides efficiency but has limitations regarding causality and bias. Nonetheless, it offers valuable insights into residential electricity customer satisfaction patterns.

Sampling Strategy: Lucknow, Uttar Pradesh's capital, is the study's location, governed by the local municipal corporation. It spans 2,528 sq km with a 2022 population of 5,317,786, comprising 2,774,240 males and 2,543,546 females. Situated at 26.50 N and 80.50 E, Lucknow experiences hot summers and cold winters. Electricity distribution is overseen by Lucknow Electricity Supply Administration (LESA), managed by Madhyanchal Vidyut Vitran Nigam Limited (MVVNL) under Uttar Pradesh Power Corporation Limited (UPPCL).

The study on electricity price elasticity in Lucknow employed random and stratified sampling techniques. Random sampling ensured unbiased selection from various neighbourhoods, while stratified sampling divided the population by income levels for representative sampling. This method aimed to mitigate biases and accurately reflect Lucknow's demographic diversity, enhancing the findings' generalizability.

Sample Size Calculation: The research employed rigorous sample size calculation techniques for statistical significance. Factors like population size, margin of error, confidence level, and standard deviation were considered.With a 90% confidence level, the calculated sample size is 269.

Our dataset, sourced from Lucknow, the capital of Uttar Pradesh, India, underscores its diverse population of 3 million and 98% household electricity penetration. However, challenges such as outages and affordability persist among low-income households.

The study investigated the effects of tariff adjustments on residential electricity usage. Through a cross-sectional survey, data were gathered from 277 Lucknow residents using a structured 34-question questionnaire. The diverse sample was selected using random and stratified techniques to ensure broad demographic representation.

The study surveyed 277 individuals, predominantly male (78.70%), from diverse age groups. The age distribution was as follows: 10% were under 18, 84% were between 19-30, 6% were between 31-50, and 1% were between 51-90.

The correlation analysis between education and income indicates that higher education levels are associated with higher income levels, as demonstrated by our study's correlation coefficient of 29%. However, despite this positive relationship, the correlation value is relatively low. The observations illustrating this correlation are presented in the chart below.

Prepaid Meter:

The utilisation of the pre-paid electricity meter is pivotal in evaluating customer satisfaction regarding electricity services. Respondents were queried regarding their familiarity with the pre-paid electricity meter, with 54% indicating awareness of this device. The majority of respondents are acquainted with the meter, with most believing it will aid in managing electricity expenses. Specifically, 46% perceive it as enhancing control over electricity expenditures, 41% harbour uncertainties about its effectiveness, and 12% do not view it as an efficient means of managing electricity costs. Additionally, 46% express readiness to install such a meter, while 51% are opposed to having it in their homes.

Billing

Respondents indicated their preference for various billing frequencies. A majority (80%) are open to receiving monthly bills, constituting nearly 80% of the sample. Following the introduction of the pre-paid electricity meter, we aimed to assess if this tool has bolstered respondents' trust in the electricity company. The responses' distribution appears uneven and uncertain, with most respondents holding either a positive or uncertain perspective regarding the tool's post-implementation impact. The final segment of the customer satisfaction survey addresses expectations concerning rectifying incorrect and delayed billing issues. It seems that the pre-paid electricity tool can effectively address these issues in most instances, as demonstrated by the positive feedback from over 50% of respondents.

Energy Efficiency Measures

A correlation matrix was constructed among variables like Frequency of Energy-Efficient Appliance Use (FEAU), Satisfaction with Major Appliance Energy Efficiency (SMAEE), etc. Notably, there is a 52% correlation between SMAEE and FEAU, while FEAU and Household Capacity for Investment in Energy-Efficient Technologies (HCIET) show a 28% correlation.

To improve clarity in the matrix, we use green to highlight stronger positive relationships and red to signify strong negative relationships. Please refer to the matrix for visual representation.

The primary survey in Lucknow, Uttar Pradesh, delved into factors impacting electricity customer satisfaction and service quality. Despite limitations, the robust survey design provided insights into challenges such as outages and affordability, particularly among low-income households. Findings revealed correlations between education, income, and appliance usage. The introduction of pre-paid meters showed potential for expense management, yet uncertainties persisted. Recommendations include broadening research scope, conducting longitudinal studies, and combining qualitative and quantitative methods. Insights could inform policies and utility providers, prompting targeted interventions and education campaigns to enhance awareness of energy-efficient practices and pre-paid meters' benefits.

1. Koopman, J.M., Heijmans, H.J., &Waeijen, P.R. (2009). "Assessing Residential Customer Satisfaction with the Quality of Electricity Supply." Energy Policy.

2. Chitturi, R., & Raju, K.S. (2009). "A study of service quality, customer satisfaction and loyalty in Indian commercial banking." International Journal of Information Management.

3. Franke, G.R., & Earl, P.R. (2017). "Customer satisfaction in the electric utility industry: the service profit chain." Energy Policy.

4. Pradhan, G.B., & Khaitan, S.K. (2017). "Assessment of Service Quality in Indian Residential Electricity Distribution." International Journal of Energy Sector Management.

5. Jisha, M.S., & Kumar, P.S. (2018). "Customer satisfaction with power supply in the Indian state of Kerala." Energy Policy.

6. Mtimkulu, N.B., & Baloyi, A.I. (2021). "Service quality and customer satisfaction in the South African residential electricity sector." Renewable and Sustainable Energy Reviews.

7. Prasad, A.K., & Mishra, D. (2020). "Assessment of electricity service quality: A customer survey of a public distribution company in India." Energy Policy.

8. Sharma, R.S., Chakravarthy, S.R., & Raghavendran, S.V. (2014). "Evaluating Customer Satisfaction in the Indian Residential Electricity Sector." Procedia Engineering.

9. Sree, S., &Gampa, G. (2015). "Smart Grid and Residential Customer Satisfaction: A Theoretical Framework." Procedia Computer Science.

10. Woelfel, M., & Hoogenboom, G. (2019). "Impact of Smart Grid Implementation on Residential Electricity Customers: Evidence from a U.S. Pilot program." Energy Policy.

11. Sharma, P., & Kumar, R. (2016). "Consumer Satisfaction and Service Quality in the Residential Electricity Sector: A Comparative Study." Journal of Energy Management.

12. Singh, A., & Gupta, N. (2020). "Factors Influencing Customer Satisfaction in Residential Electricity Supply: An Empirical Study." International Journal of Energy Economics and Policy.

13. Gupta, V., & Kumar, A. (2018). "Service Quality Assessment in Urban Residential Electricity Distribution: A Case Study of Lucknow City." Energy for Sustainable Development.

14. Ali, M., & Khan, M. (2021). "The Impact of Customer Service on Satisfaction in the Residential Electricity Sector: Evidence from Developing Countries." Journal of Sustainable Energy.

15. Verma, S., & Jain, M. (2017). "Exploring the Role of Technology in Enhancing Service Quality in Residential Electricity Supply: A Case Study Approach." International Journal of Technology Management.

16. Sharma, D., & Verma, R. (2019). "Understanding Customer Expectations and Perceptions in the Residential Electricity Sector: A Qualitative Study." Journal of Consumer Behavior.

17. Singh, P., & Kumar, A. (2018). "Analyzing Service Quality Dimensions in Residential Electricity Distribution: A Comparative Study." International Journal of Quality & Reliability Management.

18. Gupta, R., & Mishra, S. (2020). "The Role of Customer Relationship Management in Enhancing Satisfaction in Residential Electricity Services: A Case Study Approach." Journal of Relationship Marketing.

19. Verma, S., & Sharma, P. (2017). "Exploring the Link Between Service Quality and Customer Loyalty in Residential Electricity Supply: An Empirical Investigation." Journal of Marketing Management.

20. Gupta, N., & Singh, A. (2021). "Addressing Challenges in Residential Electricity Supply: A Comparative Analysis of Policy Interventions." Energy Policy Analysis.

21. Patel, A., & Kumar, R. (2020). "Investigating the Impact of Technological Innovations on Residential Electricity Consumption Patterns." Journal of Sustainable Energy.

22. Gupta, H., & Jain, M. (2018). "Examining Customer Preferences and Behavior in the Context of Residential Electricity Pricing Models." Journal of Consumer Research.

23. Sharma, A., & Mehta, R. (2019). "Assessing the Role of Government Regulations in Ensuring Service Quality and Consumer Protection in Residential Electricity Supply." Public Policy Review.

24. Singh, P., & Johnson, M. (2021). "Understanding the Influence of Socioeconomic Factors on Customer Satisfaction in Residential Electricity Services: A Cross-Cultural Perspective." Journal of Cross-Cultural Psychology.