Kategorier: Alla - service - recovery - communication - satisfaction

av BUSTOS FRADE AMBAR ALEJANDRA för 5 årar sedan

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Service recovery, from Chinese mobile phone markets

The text delves into the complexities of service recovery in the Chinese mobile phone market, emphasizing the importance of dynamic marketing strategies. It discusses the use of Vector Autoregression (

Service recovery, from Chinese mobile phone markets

Service recovery, from Chinese mobile phone markets

Measurements

Customer satisfacition
Excuse

Communications

Quality improvement

Data

Service recovery strategies are appliend after service
Is difficult to conduct systematic empirical research with world real data in yhe recovery of service failures, it is more insightful to carry.

MARKETING DINAMICS

VAR model is appropriate for capturing the complex, dynamic relationships
The regression of the endogenous variable is the only simultaneous regression of several endogenous variables. Therefore, VAR can model a closed cycle

Controls to the Rule explaining alternatives to the results

Pricing strategy, the way in principle the company rewarded loyal consumers
product or channel strategies

The dinamics effects of recovery service : Hypothesis

Short or long term decay some studies help to the possibility os a short or long decline, depending on the specific type of service recovery efforts
After service failures, the impact varies over time
The variable impact on comunications time
The variable impact on compensation time
The variable impact on quality time

Dynamic effects of service recovery and customer satisfaction

Strategies Service recovery
Quality improved is the improvement of the firm

Actions of an organization take in response to a service failura

Recovery managment has a sifnificant impact on customer

Usualliy, the clients participe more in emotional recovery than in routine service or the first time

RESULTS OF MODEL VAR

re
Calculation of three indexes of goodness of fit to determine the optimal delay
Root tests of the VAR model

Important of the marketing dinamics

The contribution of long-term marketing variable
The purpose of evaluation
Variable effects over time