カテゴリー 全て - data - strategies - service - recovery

によって Daniela Olaya 5年前.

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Quantifying the dynamic effects of service recovery on costumer satisfaction

This text delves into the intricate dynamics of service recovery and its varying effects on customer satisfaction over time. By examining the buildup and decay of these effects, the study employs various methodological approaches, including the Vector Autoregression (

Quantifying the dynamic effects of service recovery on costumer satisfaction

Quantifying the dynamic effects of service recovery on costumer satisfaction

Controle to Rule Put Alternative Explanations to the Results

Need the control or recovery process and quality

Dynamic effects of service recovery on costumer satisfaction

Buildup ontensity and peak timing
Identitfied the dominant importance

of quality improvement - based

Intensity and timing of the peak impact
HYPOTHESES ON THE DYNAMIC EFFECTS OF SERVICE RECOVERY
Short or long decay

Affective responses are evoked much

Specific type of service recovery

SERVICE RECOVERY STREATEGIES
Compensation discounts

economic incentives

Coupons

Refunds

Merchandising

Organization takes in response to a service failure
Evaluating the time - varying

Data stationarity

IRF
VAYESISEN METHOD
VAR

Data and measures

MEASURE
Comunications
Apology
Quality improvement
Costumer satisfaction
DATA SETTING
Top management of the company

Data were collected

The recovery strategies of the CM

Conduct a field study on the effectiveness
Conduct systematic empirical research

Effects of service recovery

Methodological aspect
Experiments

Parametization problem

Research suggest
Buildup time
Peak time

Expectancy and disconformation

Buildup and decay effects
Time - Series applications
MKT dynamics

Advances services MKT

Frequently experimental
Dynamic effect paper
Service recovery paper
Theoretical model

Higher and quicker buildup