Bachelorarbeit, 2020
35 Seiten, Note: 1,3
1. Relevance of Illegitimate Customer Complaint Handling for Companies
2. Theoretical Foundations of Customer Complaints
2.1 Definition of Legitimate Complaints
2.2 Definition of Illegitimate Complaints
3. Literature Review on Illegitimate Customer Complaints
3.1 Factors Facilitating Illegitimate Complaining
3.2 Impact of Situational, Habitual, and Personal Factors
3.3 Motives for Illegitimate Complaints
3.3.1 Fraudulent Returners
3.3.2 Fault Transferors
3.3.3 Freeloaders
3.3.4 Peer-induced Esteem Seekers
3.3.5 Solitary Ego Gainers
3.3.6 Disruptors
3.4 Impact and Effects of Illegitimate Complaints on Companies
3.4.1 Consequences for Employees in Customer Contact
3.4.2 Financial Costs of Illegitimate Complaints
3.5 Potential Countermeasures
3.5.1 Employee Training and Empowerment
3.5.2 Implementation of Databases and Customer Complaint Management Systems
3.5.3 Revision of Existing Return Policies
4. Discussion
4.1 Critical Evaluation
4.2 Contribution to Customer Complaint Management and Practice
4.3 Limitations and Future Research
This thesis examines the increasing phenomenon of illegitimate customer complaints, where customers complain despite the absence of a genuine product or service failure. The central research objective is to provide a comprehensive literature review that helps managers understand the underlying motives for this behavior and implement effective countermeasures to mitigate its negative impacts on company performance and employee well-being.
3.3.1 Fraudulent Returners
Reynolds and Harris (2005, p. 328) define fraudulent returners as “customers who conventionally purchase and use goods, and subsequently attempt to return them, fraudulently, for reimbursement at a later date.” To return a faultless product in accordance with the company’s return policy, customers make the product defective (Reynolds and Harris 2005). A synonym used in literature for this behavior is “deshopping” (Schmidt et al. 1999, p. 290). As illustrated in Figure 3, it is important to distinguish between two types of fraudulent returns (Reynolds and Harris 2005).
On the one hand, a customer may decide to return the product only after purchase; this behavior could be caused by the fact that the customer “may become concerned regarding the future performance of the product” because of external influences, such as negative word of mouth (Jacoby and Jaccard 1981, p. 19). In this instance, to be able to return the product, the customer fabricates a product defect. On the other hand, a customer may purchase a product with the intention of returning it later and thereby exploiting a company’s return policy (Ro and Wong 2012; Schmidt et al. 1999).
These pre-planned fraudulent returns can also be divided into two subgroups: First, customers may purchase a discounted product or a product from a low-priced store to return it in a premium-priced store, thereby receiving a higher refund and making a profit (Reynolds and Harris 2005). The second subgroup can be identified as engaging in “retail borrowing” (Berry and Seiders 2008, p. 34). Situational retail borrowers might buy a product they need for a specific occasion and create a product failure to return it once they no longer need it. Chronic retail borrowers might buy a product for day-to-day use, creating a product failure to return it once they would like a replacement (Berry and Seiders 2008).
1. Relevance of Illegitimate Customer Complaint Handling for Companies: Highlights the increasing frequency and financial impact of illegitimate complaints and the scarcity of substantiated best-practice approaches for managers.
2. Theoretical Foundations of Customer Complaints: Defines and differentiates between legitimate and illegitimate complaints, introducing the post-usage evaluation process and the different functions complaints serve.
3. Literature Review on Illegitimate Customer Complaints: Provides an extensive analysis of the factors, motives, impacts, and potential countermeasures related to illegitimate customer behavior.
4. Discussion: Offers a critical reflection on the findings, contributions to professional practice, and identifies limitations alongside suggestions for future research.
Illegitimate complaints, customer complaining behavior, CCB, service failure, fraudulent returners, retail borrowing, customer complaint management, CCMS, service recovery, return policy, employee empowerment, deshopping, customer satisfaction, financial impact, complaint management systems.
The thesis focuses on the issue of illegitimate customer complaints—situations where customers lodge complaints without experiencing an actual service or product failure—and how companies can effectively manage this behavior.
The paper addresses the factors facilitating such behavior, the different motives behind why customers complain illegitimately, the negative consequences for both employees and companies, and potential reactive and proactive countermeasures.
The objective is to synthesize existing literature to give managers a better understanding of illegitimate complaining and to provide evidence-based recommendations to mitigate the financial and organizational damage caused by these complaints.
The work employs a comprehensive literature review, aggregating findings from diverse fields such as marketing, psychology, and information systems to analyze and structure the phenomenon.
The main body covers definitions, situational and personal factors influencing behavior, a detailed taxonomy of six complainer motives, the impact on employee morale and financial performance, and specific mitigation strategies.
Key terms include illegitimate complaints, CCB, service recovery, fraudulent returns, retail borrowing, and customer complaint management systems (CCMS).
Fraudulent returners act with the intent to obtain monetary gain or "retail borrow" goods, whereas fault transferors aim to avoid personal responsibility for their own mistakes by blaming the firm.
Technology, specifically Customer Complaint Management Systems (CCMS) and Decision Support Systems (DSS), allows for partial automation and better detection of potential illegitimate complaints through data mining and AI.
Stricter policies may penalize honest customers and reduce the positive marketing effects of a generous return policy, such as loyalty and positive word-of-mouth, necessitating a balanced, company-specific approach.
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