ISM 270 Service Engineering and Management Lecture 4: Service Quality.

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Presentation transcript:

ISM 270 Service Engineering and Management Lecture 4: Service Quality

Announcements  SAS Introduction  Service Quality  Frank Tung 2 nd half of today’s lecture  Homework 3

Service Quality

Key question  How to we ensure that our customers are having a good experience?

Data measurement and analysis  Regression, Logistic Regression  SAS Enterprise Miner  Next week 6pm lab to work on SAS homework

Video

Customer Feedback and Word-of-Mouth  The average business only hears from 4% of their customers who are dissatisfied with their products or services. Of the 96% who do not bother to complain, 25% of them have serious problems.  The 4% complainers are more likely to stay with the supplier than are the 96% non-complainers.  About 60% of the complainers would stay as customers if their problem was resolved and 95% would stay if the problem was resolved quickly.  A dissatisfied customer will tell between 10 and 20 other people about their problem.  A customer who has had a problem resolved by a company will tell about 5 people about their situation.

Perceived Service Quality Word of mouth Personal needs Past experience Expected service Perceived service Service Quality Dimensions Reliability Responsiveness Assurance Empathy Tangibles Service Quality Assessment 1. Expectations exceeded ES<PS (Quality surprise) 2. Expectations met ES~PS (Satisfactory quality) 3. Expectations not met ES>PS (Unacceptable quality)

Service Quality Gap Model

Dimensions of Service Quality  Reliability: Perform promised service dependably and accurately. Example: receive mail at same time each day.  Responsiveness: Willingness to help customers promptly. Example: avoid keeping customers waiting for no apparent reason.  Assurance: Ability to convey trust and confidence. Example: being polite and showing respect for customer.  Empathy: Ability to be approachable. Example: being a good listener.  Tangibles: Physical facilities and facilitating goods. Example: cleanliness.

Role of Surveys  More pervasive now than ever  Focus on expectations vs. impressions

Quality Service by Design  Quality in the Service Package Budget Hotel example  Taguchi Methods (Robustness) Notifying maids of rooms for cleaning  Poka-yoke (fail-safing) Height bar at amusement park  Quality Function Deployment House of Quality

Classification of Service Failures Server Errors Task: Doing work incorrectly Doing work incorrectly Treatment: Failure to listen to customer Tangible: Failure to wear clean uniform Customer Errors Preparation: Failure to bring necessary materials Encounter: Failure to follow system flow Resolution: Failure to signal service failure

House of Quality

Different Perspectives  Survey page 121

Achieving Service Quality  Cost of Quality (Juran) Accounting system to value avoided failures Accounting system to value avoided failures  Statistical Process Control Control Chart used to monitor performance over time Control Chart used to monitor performance over time Use confidence interval and check for outliers Use confidence interval and check for outliers See p124 of text (6 th edition) See p124 of text (6 th edition)  Unconditional Service Guarantee How can this be done in services? How can this be done in services?

Service Process Control Resources Identify reason for nonconformance Establish measure of performance Monitor conformance to requirements Take corrective action Service concept Customer input Customer output Service process

Control Chart of Departure Delays expected Lower Control Limit

Unconditional Service Guarantee: Customer View  Unconditional (No Questions Asked)  Easy to understand and communicate (What do I do? What compensation will I get?)  Meaningful (Is it worthwhile?)  Easy to invoke (Is it accessible?)  Easy to collect (On the spot?)

Unconditional Service Guarantee: Management View  Focuses on customers (British Airways)  Sets clear standards (FedEx)  Guarantees feedback (Manpower)  Promotes an understanding of the service delivery system (Bug Killer)  Builds customer loyalty by making expectations explicit

Customer Satisfaction  All customers want to be satisfied.  Customer loyalty is only due to the lack of a better alternative  Giving customers some extra value will delight them by exceeding their expectations and insure their return

Walk-Through-Audit  Service delivery system should conform to customer expectations.  Customer impression of service influenced by use of all senses.  Service managers lose sensitivity due to familiarity.  Need detailed service audit from a customer’s perspective.

Approaches to Service Recovery  Case-by-case addresses each customer’s complaint individually but could lead to perception of unfairness.  Systematic response uses a protocol to handle complaints but needs prior identification of critical failure points and continuous updating.  Early intervention attempts to fix problem before the customer is affected.  Substitute service allows rival firm to provide service but could lead to loss of customer.

Discussion  What is the role of information systems in service quality?

The Service Encounter

The Service Encounter Triad Service Organization Efficiency versus satisfaction Efficiency versus autonomy Customer Contact Personnel Perceived control

The Service Organization  Culture ServiceMaster (Service to the Master) Disney (Choice of language)  Empowerment Invest in people Use IT to enable personnel Recruitment and training critical Pay for performance

Organizational Control

Common Difficult Interactions with Customers Unrealistic customer expectations Unexpected service failure 1. Unreasonable demands 1. Unavailable service 1. Unreasonable demands 1. Unavailable service 2. Demands against policies 2. Slow performance 2. Demands against policies 2. Slow performance 3. Unacceptable treatment of 3. Unacceptable service 3. Unacceptable treatment of 3. Unacceptable service employees employees 4. Drunkenness 4. Drunkenness 5. Breaking of societal norms 5. Breaking of societal norms 6. Special-needs customers 6. Special-needs customers Use scripts to train for proper response

Service Encounter Success Factors

Employee Perceptions of Customer Service at a Branch Bank Terrible Outstanding

Is attitude emphasized? Are job previews utilized? Are customers screened? Are employees encouraged to refer friends? Are referrals from the “best” employees given priority? Is satisfaction measured periodically? Are measurements linked to other functions on the cycle? Careful Employee and Customer Selection (and Self-selection)) High-Quality Training Well-Designed Support Systems  Information  Facilities Greater Latitude to Meet Customer’s Needs Clear Limits on, and Expectations of, Employees Appropriate Rewards and Frequent Recognition Satisfied Employees Employee Referrals of Potential Job Candidates Is training for job and life? Is it an important element of quality of work life? Do they reflect needs of the service encounter? Are they designed to foster relationships? Does it reflect top management “talk”? Is it enough to allow delivery of results to customers? Do they limit the “right” risks? Are they logical to employees? Cycle of Capability Are they linked to service objectives? Are they balanced between monetary and non-monetary?

Service Profit Chain: Nothing is independent from the rest! Internal Operating strategy and service delivery system Service concept Target market Service value Customers Loyalty Productivity & Output quality Service quality Capability Satisfaction Employees SatisfactionLoyalty Revenue growth External Profitability Customer orientation/quality emphasis Allow decision-making latitude Selection and development Rewards and recognition Information and communication Provide support systems Foster teamwork Quality & productivity improvements yield higher service quality and lower cost Attractive Value Service designed & delivered to meet targeted customers’ needs Solicit customer feedback Lifetime value Retention Repeat Business Referrals

Next Week  Meet in Computer Lab  Come early  Will work through SAS exercises from homework  2 nd half Vijay Mehrotra

Frank Tung  Chair, Dept of Service Science and Engineering, Peking University  Offering Master of Software Engineering  Leading efforts in China to develop Service Science Curriculum  Collaborating with IBM and others in USA