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Proceeding Paper

Turning Crises into Business Opportunities: An Exploratory Investigation of Customers’ Pain Points in the Automobile Maintenance Industry Based on a Computer Database †

1
Department of Business Administration, Chaoyang University of Technology, Taichung 413310, Taiwan
2
Ph.D. Program of Business Administration in Industrial Development, Chaoyang University of Technology, Taichung 413310, Taiwan
*
Author to whom correspondence should be addressed.
Presented at the 2024 IEEE 4th International Conference on Electronic Communications, Internet of Things and Big Data, Taipei, Taiwan, 19–21 April 2024.
Eng. Proc. 2024, 74(1), 47; https://doi.org/10.3390/engproc2024074047
Published: 3 September 2024

Abstract

:
Companies need to decrease service failures through service recovery and by managing customers’ emotions, which is important. Customer databases are vital to understand needs and service innovation. Utilizing data, companies can identify pain points and innovate services, reducing customer complaints. We examined 140 customer records from an auto maintenance company’s database and found 602 failure descriptions. The main complaints include maintenance performance, service attitude, and professionalism. Employee behavior accounted for most failures. Pain points in the process were the most common, followed by support, financial, and productivity issues. Such results suggest that service innovation is needed.

1. Introduction

Scholars have identified customer flow as a revenue stream for enterprises, emphasizing that the effective management of customer complaints is pivotal for optimizing profit growth. Customer complaints encompass actions or inactions undertaken by consumers in response to unsatisfactory experiences following the purchase of goods or services [1]. In essence, customer complaints denote efforts by consumers to rectify dissatisfaction.
Singh [2] stated that when confronted with service failures, consumers typically exhibit various behaviors, including switching providers, directly addressing grievances with the service provider, seeking assistance from third parties or social networks, disseminating negative word of mouth (WOM) about their experiences, or passively accepting the situation. Day and Landon [3] classified dissatisfied consumer responses into two categories based on their proactive engagement: “non-action” and “action-taking”. In the latter category, responses are delineated into “public action” and “private action”. Public actions involve legal measures and complaints with consumer advocacy groups, while private actions entail boycotting products or sharing unsatisfactory experiences with acquaintances.
Numerous companies encounter challenges in effectively managing customer complaints, resulting in over half of customers harboring increased aversion towards the company following complaint resolution efforts. After a service failure, a secondary mishap engenders a “double deviation” phenomenon, amplifying customers’ negative perceptions of the company, eliciting adverse reactions, and thereby exerting adverse impacts on the company’s profitability and performance [4]. In food consumption, Dai and Wang underscored that heightened service quality provision by restaurant operators correlates with diminished customer complaints. Additionally, consumers emphasizing meal quality exhibited reduced satisfaction with service providers, consequently heightening the propensity for complaint behaviors.
However, customer complaints precipitate detrimental outcomes such as customer churn or compromised brand loyalty. Studies elucidated the potential for customer complaints to yield positive value for companies. For instance, Umashankar, Ward, and Dahl [5] posited that customer complaints serve as invaluable feedback mechanisms conducive to nurturing social bonds and thereby fostering enhanced brand loyalty. Similarly, Morgeson, Hult, Mithas, and Keiningham [6] claimed that the relation between service recovery and customer loyalty assumes heightened significance within economies characterized by elevated growth rates, intense competition, luxury market segments, and high levels of consumer satisfaction, as well as industries characterized by elevated expectations for tailored service provisions.
When service failure occurs, companies take service recovery actions [7]. In addition to solving the problems encountered by customers, they deal with the current negative emotions of customers to save potential losses. However, it is important to avoid service failure. Service innovation based on exploring customer complaints helps avoid the occurrence of the next customer complaint. Customer databases are an important source of information for smart business and brand marketing. The starting point of customer data mining is to discover the customer needs hidden in the data and make good use of the pain points to meet customers’ needs for the innovation and development of service technology [8]. Such service innovation helps companies grow in the future.
Thus, we explored the reasons for customer complaints, the types of service failures that cause customer complaints, the customer pain points caused by service failure, and the relationship between service failures and pain points.

2. Research Method

2.1. Data Collection

The automobile maintenance service industry is mature and characterized by relatively low barriers to entry. The service is distinguished by a high degree of professionalism, intricacy, and technological sophistication. Variances exist between customers regarding satisfactory and unsatisfactory service outcomes. To understand customer failures, we selected 140 customer records from the database of an automotive maintenance enterprise. Subsequently, we investigated customer complaint records to unearth prevalent issues and dissatisfactions in the maintenance service. By understanding customer needs, companies can refine and innovate their service process.

2.2. Operational Definitions

The research variables of this study include customer complaints, service failure and its types, and functional pain points. Their definitions are presented in Table 1.

2.3. Analysis

We used a content analysis method to analyze customer complaint text. A content analysis was used to examine the information or content of written, symbolic materials [15]. The analysis steps are as follows: (1) propose research questions or hypotheses and review and examine the literature, (2) determine the scope of the research to determine the subject area of the research, (3) randomly select research samples, (4) establish category rules, (5) determine the unit of analysis, (6) code the data, and (7) conduct data statistics based on the research purpose.

2.4. Validity

The robustness of this research was validated using triangulation. Triangulation is a fundamental tool used in qualitative research, involving diverse methods or datasets to investigate the same phenomenon [16]. We analyzed customer complaints, observational records, and other pertinent datasets concerning automotive maintenance services. By harnessing multiple streams of evidence characterized by diverse data formats and contents and facilitating experts in the analysis and deliberation processes, the research results were presented in a comprehensive, nuanced, and realistic manner. Using the data sources and triangulation, the limitations inherent in a singular methodological approach were mitigated, and the potential for bias was reduced.

3. Results

3.1. Reasons for Customer Complaints

To understand the reasons for customer complaints, we conducted a content analysis on the customer data. A total of 602 descriptions were analyzed for five reasons: work execution, professional performance, service personnel, service resource planning, and failure to understand customer needs (Table 2).

3.2. Service Failure Types

We divided the types of service failures into three categories. Employees’ behavioral failures occurred the most (375 times, accounting for 62.29%), followed by customer demand response (157 times, accounting for 26.08%) and service delivery system failures (70 times, accounting for 11.63%) (Table 3).

3.3. Pain Points

We divided functional pain points into four types: 49.50% were categorized as process, 24.42% as support, 18.44% as finance, and 7.64% as productivity (Table 4).

3.4. Pain Points and Types of Service Failures

We conducted a crosstab analysis on the types of pain points and service failures. Employees’ behavioral failures showed the highest rate (78.52%) in process pain point, followed by failures in responding to customer needs. Regarding to support pain point, the highest type was the service failure of responding to customer needs (68.71%). The most common financial pain points were employee behavioral failures (53.15%) and service delivery system failures (46.85%). The productivity pain points comprised employee behavioral failures (100.00%) (Table 5).

4. Conclusions

The causes of customer complaints included work execution problems, professional performance problems, service personnel problems, service resource planning problems, and failure to understand customer needs. Work execution problems occurred most frequently, with nearly one-third of customer complaints being related to the ineffective execution of service processes or the lack of professionalism of the service personnel. Therefore, it is important to improve service processes to deliver services efficiently and accurately. Additionally, the lack of professionalism of the service providers is also significant. Apart from standardized operating procedures, it is important to ensure the professional standards of each service provider and provide ongoing education and training.
The most frequently occurring type of service failure was “employee behavior”. Consistent with the aforementioned findings, employees’ service attitudes, skills, and professional knowledge impacted customers’ negative perceptions and dissatisfaction. In automobile services, the professional competence of the service provider is important. Functional pain points were the most frequently occurring, accounting for nearly 50%. Process pain points were related to the effectiveness of completing the service process; thus, it is imperative for employees to assist other employees in completing or executing the service process.
The highest rates of process, support, financial, and productivity pain points were attributed to “failures in employee behavior”, while the highest rate of support pain points was attributed to “failures in responding to customer needs”. Additionally, the highest rate of financial pain points was linked to “failures in responding to customer needs”, and the highest rate of productivity pain points was associated with “service delivery system failure”.
Failure in employee behavior is associated with multiple pain points, including process, support, finance, and productivity. Car warranty service providers prioritize the cultivation of their employees’ service attitudes, skills, and professional knowledge, as well as addressing their behaviors. By improving employees’ behaviors, functional pain points can be removed.

Author Contributions

Conceptualization, S.-C.H., Y.-W.C. and Y.-C.C.; methodology, S.-C.H.; writing—original draft preparation, Y.-W.C. and Y.-C.C.; writing—review and editing, Y.-C.C., H.-T.H. and C.-W.H. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors on request.

Acknowledgments

All subjects’ enthusiastic participation is greatly appreciated.

Conflicts of Interest

The authors declare no conflicts of interest.

References

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Table 1. Definitions of research concepts.
Table 1. Definitions of research concepts.
VariableDimensionOperational Definition
Customer complaints
[2,9,10]
Reactions that customers have when faced with dissatisfaction after purchasing a product or service
Reason for customer complaintWork execution problemsLow reactivityUnable to perform work correctly
Low securityNot possessing the knowledge and abilities required to perform the services
Professional performance problemsLow reliabilityService staff failed to demonstrate courtesy, consideration, and respect
Poor competencyService staff’s credibility and honesty are low
Service personnel problemsPoor mannersCustomer was not served immediately
Low reliabilityFailure to help customers to avoid risky and unsafe situations
Service resource planning problemsLow accessibilityWaiting time for receiving services is inappropriate or the work process is inconvenient
Poor tangibilityPhysical facilities for services, such as poor tools or equipment for services
Failure to understand customer needsPoor communicationFailure to listen to customers or communicate with them in a way that customers understand
Low understandingNot understanding customers’ needs or asking about their special needs
Service failure [11,12,13]Consumers’ interactions during the service delivery process include interactions with personnel, the physical environment and facilities, and other intangible factors; once a mistake occurs and causes an unpleasant feeling to the customer, this phenomenon is called a service failure
Types of service failureService delivery system failureWhen errors occur in the provision of major services or products, policies, operating procedures, and other factors, errors that are subjectively determined by customers will affect their mood
Customer need response failureIn normal delivery service behavior, the customer feels unhappy when the service staff is unable to meet the customer’s order or special request
Employee personal behavioral failureThe service attitude, skills, and professional knowledge of employees may affect customers’ poor perception of the overall service, or the personal behavior of employees may cause customers to have unpleasant feelings
Functional pain point [8,14]Financial pain pointNot obtaining value for money refers to pain points related to money and expenses
Productivity pain pointNo one rushes to help employees get work done; impact on productivity or time-related pain points
Process pain pointUnable to smoothly complete all aspects of the service process
Support pain pointNo one can help when employees need help
Table 2. Reasons for customer complaints.
Table 2. Reasons for customer complaints.
NumberComplaintsFrequencyPercentageReasonFrequencyPercentage
1Work execution problems18831.23%low reactivity10617.61%
low security8213.62%
2Professional performance problems16126.74%low reliability14323.75%
poor competency182.99%
3Service personnel problems13822.92%poor manners386.31%
low reliability10016.61%
4Service resource planning problems7412.29%low accessibility6610.96%
poor tangibility81.33%
5Failure to understand customer needs416.81%poor communication294.82%
low understanding121.99%
Total 602100.00% 602100.00%
Table 3. Analysis of service failures.
Table 3. Analysis of service failures.
OrderService Failure TypeFrequencyPercentage
1Employees’ personal behavioral failure37562.29%
2Customer demand response15726.08%
3Service delivery system failure7011.63%
Total602100.00%
Table 4. Analysis of functional pain points.
Table 4. Analysis of functional pain points.
OrderFunctional Pain PointFrequencyPercentage
1Process pain point29849.50%
2Support pain point14724.42%
3Financial pain point11118.44%
4Productivity pain point467.64%
Total602100.00%
Table 5. Analysis of service failures with pain points.
Table 5. Analysis of service failures with pain points.
Service Delivery SystemEmployee PersonalCustomer Demand ResponseTotal
Pain PointProcess2.68%78.52%18.79%100.00%
Support6.80%24.49%68.71%100.00%
Financial46.85%53.15%0.00%100.00%
Productivity0.00%100.00%0.00%100.00%
Total11.63%62.29%26.08%100.00%
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MDPI and ACS Style

Huang, S.-C.; Chen, Y.-W.; Hsieh, H.-T.; Hsiao, C.-W.; Chen, Y.-C. Turning Crises into Business Opportunities: An Exploratory Investigation of Customers’ Pain Points in the Automobile Maintenance Industry Based on a Computer Database. Eng. Proc. 2024, 74, 47. https://doi.org/10.3390/engproc2024074047

AMA Style

Huang S-C, Chen Y-W, Hsieh H-T, Hsiao C-W, Chen Y-C. Turning Crises into Business Opportunities: An Exploratory Investigation of Customers’ Pain Points in the Automobile Maintenance Industry Based on a Computer Database. Engineering Proceedings. 2024; 74(1):47. https://doi.org/10.3390/engproc2024074047

Chicago/Turabian Style

Huang, Shu-Chin, Yen-Wen Chen, Hi-Ta Hsieh, Chih-Wen Hsiao, and Yi-Chang Chen. 2024. "Turning Crises into Business Opportunities: An Exploratory Investigation of Customers’ Pain Points in the Automobile Maintenance Industry Based on a Computer Database" Engineering Proceedings 74, no. 1: 47. https://doi.org/10.3390/engproc2024074047

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