Introduction
Service quality is one of the most important aspects of any service industry as it directly impacts customer satisfaction and loyalty. A high level of service quality leads to positive word of mouth for the organization and repeat customer purchases. On the other hand, poor service quality results in customer dissatisfaction, complaints, and loss of business. Therefore, it is crucial for service organizations to constantly monitor and improve their service quality.
This thesis aims to explore the concept of service quality in depth. It will discuss various service quality frameworks and models proposed by different researchers in the past. A review of existing literature on service quality dimensions and their impact on customer satisfaction will be provided. The research methodology used for this study involving both qualitative and quantitative research will then be explained.
Next, the data collection process and analysis will be described. This will be followed by a discussion on the key findings from the primary research conducted among customers of a leading airline, telecom, and banking industry. Based on the research, certain recommendations will then be proposed to improve service quality from the customers’ perspective. The paper will conclude by highlighting the contribution of the study and scope for future research.
Literature Review
One of the earliest and most widely used models of service quality is the SERVQUAL model developed by Parasuraman, Zeithaml, and Berry in 1985. This model identified ten determinants of service quality – reliability, responsiveness, competence, access, courtesy, communication, credibility, security, understanding the customer, and tangibles. These ten determinants were later grouped into five broad dimensions – tangibles, reliability, responsiveness, assurance, and empathy.
SERVQUAL measures service quality as the gap between customers’ expectations of service and their perception of the actual service received. A positive service quality is achieved when performance meets or exceeds expectations. The model has been extensively applied and tested across different service industries like banking, telecom, healthcare, etc. It has also been criticized for being too generic.
To address some of the limitations of SERVQUAL, Cronin and Taylor in 1992 proposed the SERVPERF model which measures service quality based only on performance and not the performance-expectation gap. This model views service quality from the customer’s viewpoint and focuses more on customer satisfaction.
Later, other researchers like Rust and Oliver also developed alternative frameworks for measuring service quality. Rust and Oliver’s model identified three key components of service quality – service product, service delivery, and service environment. It argues that customer satisfaction is directly influenced by perceived service quality which is a function of these three components.
Existing literature has also revealed certain key service quality dimensions that significantly impact customer satisfaction across industries. Dimensions like reliability, responsiveness, assurance, empathy, and tangibles are consistently identified as important determinants of service quality and satisfaction especially in consumer services. Other vital factors include complaint handling, value for money, security, and availability. Proper understanding of such critical dimensions helps service providers to strengthen their service delivery.
Research Methodology
For this study, a mixed research approach comprising both qualitative and quantitative methods was adopted. The qualitative research involved conducting in-depth interviews with 10-12 customers each from the airline, telecom, and banking industries. These interviews aimed to explore customer perspectives and experiences in detail regarding service quality dimensions, expectations, and level of satisfaction.
For the quantitative study, a survey questionnaire was designed based on the commonly identified service quality dimensions from the literature – reliability, responsiveness, assurance, empathy, and tangibles. Additionally, other aspects like value, complaint handling, security, and availability were also included.
A five-point Likert scale was used with responses ranging from strongly agree to strongly disagree. A sample of 200 customers was chosen from each industry using simple random sampling technique making the total sample size 600. The survey was conducted both online and through paper-based questionnaires.
The collected data was analyzed using Statistical Package for Social Sciences (SPSS). Both descriptive and inferential statistics were applied. Frequency, percentage, mean and standard deviation were calculated to describe the data. One-way ANOVA and post-hoc tests were conducted to examine differences in perception across industries and demographic factors.
Analysis and Findings
Based on the qualitative interviews, some key findings were identified regarding customer service quality expectations and priorities in the selected industries:
For airline customers, on-time performance, baggage handling, staff courtesy/etiquette, and in-flight services emerged as most important service quality dimensions.
Telecom customers placed high priority on network coverage, call quality, bill accuracy, customer care responsiveness, and value-added services.
Banking customers emphasized on factors like efficiency of transactions, staff knowledge/skills, interest rates, complaint resolution, and branch/ATM availability.
The quantitative survey results revealed customer ratings for different service quality dimensions across the three industries:
Airlines scored highest on staff courtesy/etiquette but needed improvement in on-time performance and baggage handling areas.
Telecom providers rated well for network coverage and loyalty programs but poorly in customer care and resolution of billing issues.
Banks were highly rated for employee skills but customer satisfaction levels on issues like branch/ATM accessibility, loan processing speed, and grievance redressal were average.
Statistical analysis indicated significant differences in perception of performance across certain quality dimensions based on customer demographics like age, income, occupation, etc. Younger customers for instance placed greater importance on digital technology-enabled services compared to older customers.
Recommendations
Based on the study findings, the following recommendations were proposed to the selected organizations for improving their service quality levels:
Airlines should focus on streamlining their check-in and boarding processes to enhance on-time take-offs and ensure faster baggage delivery post arrivals through automated systems. Better coordination is also required between ground crew and flight staff.
Telecom providers need to invest in network expansion, offer multiple recharge options for convenience, train customer support staff to resolve issues quickly, and ensure transparency in billing with proactive notifications of charges.
Banks should have extended branch and ATM timings, speed up loan and account opening procedures through digital tools, simplify complaint registration and resolution process, and enhance financial literacy programmes.
All service providers must customize their offerings by segmenting customers as per demographics and develop targeted communication strategies to address needs and concerns more effectively for each segment.
Regular collection of feedback through surveys, focus groups, and analysis of social media commentary will help monitor service quality on an ongoing basis from an evolving customer perspective.
Conclusion
This study provided comprehensive insights into key aspects of service quality and its importance for customer satisfaction in the airline, telecom and banking domains through a rigorous mixed research methodology. The findings add value to existing knowledge by identifying priorities and gaps in service delivery from the actual customers’ vantage point through both qualitative explorations and quantitative analyses.
The recommendations if implemented properly have the potential to significantly enhance service quality standards at these organizations. Continuous monitoring through newer metrics and dimensions will also be vital to stay relevant in today’s highly dynamic marketplace. Overall, the research succeeds in its aim of offering managers and policymakers evidence-based guidelines to strengthen service quality management from a customer-centric approach.
Future scope exists to conduct similar multi-industry research at a larger scale and scope, benchmark performance against global standards, develop customized frameworks for emerging technologies and new areas, assess linkages between quality, satisfaction, loyalty and profitability more rigorously through advance statistical techniques like regression analyses.
Andrew Stroud