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Quality Uncertainty and Quality Perception

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Quality Uncertainty and Perception

Part of the book series: Contributions to Management Science ((MANAGEMENT SC.))

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Abstract

This chapter links quality perception to quality uncertainty. The extent of information asymmetry or symmetry has been used as the basis for this linkage. Quality uncertainty or perception is viewed from both endogenous and exogenous perspectives. Total Quality Management makes the endogenous side with TQM constructs as endogenous variables, whereas marketing science framework exhibits the exogenous side. Principles of economics of information are implemented to correlate marketing parameters with the TQM practices in industry so that quality is perceived by customers. Quality perception is an outcome of combined probability of information symmetry and TQM. Theories of probability and reliability engineering are used for mathematical modeling and analysis. Fault tree and success tree method is specifically applied to analyze quality uncertainty and quality perception at the market end. Quality uncertainty and perception behaviors are also related to product life cycle. Thus, a new direction has been given to the perceived quality that traversed thus far in different streams.

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Correspondence to Lalit Wankhade .

Appendix A

Appendix A

4.1.1 Worksheets 1 and 2

4.1.1.1 Using Worksheet 1

Worksheet 1 refers to computation of TQMI which depends on the critical factors. Hence, the critical factors are presented in the first column. The status of any critical factor is determined by implementation of the related performance measures. Worksheet 1 when completed presents the TQM implementation status of any company. Entries in worksheet 1 are as follows:

  1. 1.

    The critical factors evolved through the research of the last few decades are given in column 1. These critical factors collectively represent the TQM status.

  2. 2.

    Performance measures for each critical factor are given in column 2.

  3. 3.

    Each performance measure has significance for the TQM implementation in the company.

  4. 4.

    Ponder carefully on each performance measure and fill the value in the third column that is most appropriate to the company. The value should be represented on 0–1 scale in a positive sense.

  5. 5.

    Average the values of performance measures for each critical factor in the last column. This is a value of the critical factor under consideration.

  6. 6.

    Average of the values of all critical factors is TQMI of the company. Write the TQMI at the bottom of the worksheet 1. The value will fall between 0 and 1. If the TQMI value is 0.65, it means that the TQM implementation of the company is around 65%.

4.1.1.2 Using Worksheet 2

Worksheet 2 refers to computation of information symmetry which also depends on the critical factors. Subset 1 of information asymmetry/symmetry factors represents the socio-economic conditions which are beyond the purview of any company (refer to Fig. 4.8 for subset 1 and 2). Marketing enablers or strategies to improve information symmetry are included in subset 2 of the factors. Subset 2, which makes the major portion of worksheet 2, is crucial in determining information symmetry and is common to developed and developing nations. For companies in developing nations, the values for the factors in subset 1 can be taken in the other issues. For companies in developed nations, the other relevant factors can be taken in other issues. Entries in worksheet 2 are as follows:

  1. 1.

    The identified critical factors are given in column 1. These critical factors collectively represent information symmetry.

  2. 2.

    Performance measures for each critical factor are given in column 2.

  3. 3.

    Each performance measure has significance for improving information symmetry. The performance measures for these do not have universality and may vary from company to company. But a company has to recognize the suitable performance measures for each critical factor. For example, performance measures like complaints about the product, warranty period of the product, and claims in warranty period can be considered for the critical factor of warranty/guarantee.

  4. 4.

    Ponder carefully on each performance measure and fill the value that is most appropriate to the company in the third column. The value should be represented on 0–1 scale.

  5. 5.

    Average the values of performance measures for each critical factor in the last column. This is a value of the critical factor under consideration.

  6. 6.

    Average of the values of all critical factors is information symmetry for the product of the company. Write the information symmetry at the bottom of the worksheet 2. The value will fall between 0 and 1.

After completing worksheet 1 and worksheet 2, compute quality uncertainty and quality perception.

4.1.2 Worksheet 1

Critical factor

Performance measures

Value

Average

Top management commitment

Allocating budgets resources

  

Control through visibility

 

Monitoring progress

 

Planning for change

 

Quality measurement and benchmarking

Zero-defects conformance

  

Use SPC for process control

 

Proportion of defects

 

Cost of quality

 

Percentage of products needing rework

 

Defective rate relative to competitors

 

Process management

Unit cost

  

Production goals

 

Reduce material handling

 

Design for manufacturability

 

Reduce cycle time

 

Reduce setup time

 

Productivity = finished goods/no. of people or production hours

 

Productivity = total process time/total delivery time

 

Product design

Number of new products introduced

  

Time taken from design to first sale

 

Fitness of use

 

Design quality

 

Employee training and empowerment

Training employees

  

Training management

 

Cross-training employees

 

Training/retraining budget

 

Supplier quality management

Reduce inventory

  

Supplier relations

 

Number of suppliers

 

Inventory turnover

 

Inventory accuracy

 

Implement Kanban

 

Material cost

 

Material availability

 

Customer involvement and satisfaction

Delivery dependability

  

Operators involved/value-added labor

 

Customer service training budget

 

Prompt handling of complaints

 

Number or percent of complaints

 

Number or percent of orders that are delivered late

 

Broad distribution channels

 

Number of contacts with customers

 

Consumer surveys

 

Time to respond to questions/complaints

 

Responsive repairs

 

Percentage of repeat business

 

TQMI (total quality management index) = (∑Average)/7

 

4.1.3 Worksheet 2

Critical factor

Performance measures

Value

Average

Reputation

   

Advertising

   

Warranty/guarantee

   

Supply chain management

   

Word-of-mouth

   

Other issues

   

Information symmetry = (∑Average)/number of factors used

 

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Wankhade, L., Dabade, B. (2010). Quality Uncertainty and Quality Perception. In: Quality Uncertainty and Perception. Contributions to Management Science. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-2195-6_4

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