Service Quality and Value in Electronic Services

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							MD850: e-Service Operations

Service Quality Management in
Electronic Services

                                1
   Agenda
 Background
 Measuring & Controlling Quality
    Goods Quality
    Service Quality
    e-Service Quality
 e-Service Customer Satisfaction
 e-Service Quality Measurement
 e-Service Quality Management
                                    2
    Background
 Motivation for Managing E-Service Quality
    Customers need to be able to assess the quality of
     E-Services to make informed consumption decisions
    Managers also need to be able to assess quality
       Quality is critical for New Economy companies to develop
        ongoing relationships with customers (Hayes 2002)
       High quality likely to translate into price premiums and
        expanded sales (Hanson 2002)




                                                                   3
       Background
 Quality problems are rampant among e-Services
      Common examples
          Abandoned shopping carts
          Customer service problems
          Fulfillment problems
      Many possible reasons
          digital content problems
          website process problems
          lack of website capacity
          stockouts/fulfillment/delivery system problems

                                                            4
       Background
 Quality problems can lead to unwanted
  events
      For a well-known Dot.Com, can lead to a
       “CNN Moment”
      For lesser-known e-Service, may lead to
       dissatisfaction and customers switching to
       another service


                                                    5
     Background
 e-Service Quality Management Issues of Interest
    What is e-Service quality? How is it defined?
    How can I measure the quality of my services?
    How can I control quality of my services?
    Any methodologies available for managing e-Service
     quality?
    How much does quality cost in e-Services?
    Is “zero-defects” a reasonable objective?
    What are the costs of delivering low quality?

                                                          6
     Background
 e-Service Quality Management Issues of Interest
    Should I measure my own quality?
    Appropriate strategy for using quality measurement data?
    Should I use a online customer rating vendor to measure
     quality? Which one?
    Are online rating vendors measuring quality correctly?
    Any risks involved with using rating vendor information
     to make decisions?
    Any risks involved with integrating rating vendors into
     my system?

                                                          7
Developing A Quality
Management Strategy




                       8
     Developing A Quality Management
     Strategy
 Questions to Guide Quality Management Efforts
    What are your objectives?
       Customer satisfaction perception management?
           Real-time - “sense and respond”
              Do-It-Yourself
           Time-delayed POS site experience - “analyze and adapt”
              Online customer ratings services (e.g. Bizrate)
           Time-delayed page experience - “analyze and adapt”
              OpinionLab




                                                                     9
    Developing A Quality Management
    Strategy
 Questions to Guide Quality Management Efforts
    What are your objectives?
       Control of public perceptions?
           Online customer ratings (e.g. Bizrate)
              Voluntary participation programs
              Involuntary participation
           Do-It-Yourself
       Detection and control of errors/defects?
           OpinionLab - feedback gathered from customers via pop-up
            surveys linked to each page
           Watchfire (D.I.Y.) - Web spider crawls your own site, identifies
           Do-It-Yourself
                                                                         10
Measuring & Controlling Quality




                                  11
     Measuring & Controlling Quality

 “Quality” Exhibits Many Characteristics
     Objective quality vs. Perceived quality
           Consumers may judge quality along both
     Attribute vs. Higher level abstraction
           Consumers may rate “objective” product attributes
           Consumers may rate many levels of abstractions of those
            “objective” product attributes
     Global assessment, similar to “attitude”
           an overall summary/evaluation
     Judgment made within a consumer’s “evoked set”
           quality evaluations depend on what the consumer knows about
            other products, or depends on the set the consumer chooses to
            compare a product against
                                                                            12
   Measuring & Controlling Quality

 Attribute Level
    e-Service Product Attributes
         Goods
         Services
         Digital Content
 Abstract Levels
    Perceptions of e-Service Quality will be a
     function of each of the above

                                                  13
   Measuring & Controlling Quality
   Goods Quality
 Goods Quality
    Measurement
      Objective
         actual measures (length, weight, etc.)
         counts (# of errors across a space)
      Perceived
         perceptions of
            objective dimensions
            relative to … other goods/average good/prior
              expectations
            relative to aims for using good/prior expectations
                                                                14
         rankings
   Measuring & Controlling Quality
   Goods Quality
 Goods Quality
    Management
      Objective
         Statistical Process Control
            control charts (X-bar, R, C, U, P, etc.)
         Root-cause analysis techniques
         House of Quality
      Perceived
         House of Quality
         Conjoint Analysis/Experimental Design
                                                        15
    Measuring & Controlling Quality
    Goods Quality
 Some open questions …
   How do goods affect e-Service quality?
   How is quality of a good affected by e-
    Services?




                                              16
    Measuring & Controlling Quality
    Service Quality
 Traditional Services (Person-to-Person)
    Concepts
       Objective
          actual attributes (of facilitating goods)
             “quality is having certain attributes”
          some people say services cannot be measured objectively
           (i.e, counted, weighed, have no objective length)
       Perceived
          ratings of performance
          ratings of performance relative to some prior expected
           rating
          “Gap Model” … Quality = Performance - Expected           17
   Measuring & Controlling Quality
   Service Quality
 Service Quality
    Measurement
         General Idea
             psychology based
             consumers (society) have evolved to some joint
              understanding of N dimensions that fully define quality
             researchers attempt to discover what those N
              dimensions are
             once researchers discover dimensions, managers can
              use them to manage their services

                                                                   18
     Measuring & Controlling Quality
     Service Quality
 Service Quality
    Measurement
         SERVQUAL - 10 dimensions of quality originally
              Tangibles
              Reliability
              Responsiveness
              Communication
              Credibility
              Security
              Competence
              Courtesy
              Understanding/Knowing Customers
              Access                                      19
      Measuring & Controlling Quality
      Service Quality
 Service Quality
     Measurement
        SERVQUAL - 5 dimensions
            Tangibles
               physical facilities, equipment, appearance of personnel
            Reliability
               ability to perform the promised service dependably and
                  accurately
            Responsiveness
               willingness to help customers and provide prompt service
            Assurance
               knowledge and courtesy of employees and their ability to inspire
                  trust and confidence
            Empathy
               caring, individualized attention



                                                                               20
     Measuring & Controlling Quality
     Service Quality
 Service Quality
    Measurement
         Examples of SERVQUAL survey questions/statements
              “Their physical facilities should be visually appealing.”
              “Their employees should be well dressed and appear neat.”
              “Their employees don’t always have to be willing to help
               customers.”
              “Their employees should be polite.”
              15 others
         Rate these questions along a 1-7 scale



                                                                           21
    Measuring & Controlling Quality
    e-Service Quality
 Open Questions …
   When/How does (person-to-person) Service
    Quality affect e-Service Quality?
   Is e-Service Quality different from
    SERVQUAL?
      Do we know all of the dimensions of e-Service
       Quality?
      What is the proper method for representing &
       measuring e-Service Quality?

                                                       22
   Measuring & Controlling Quality
   e-Service Quality
 Old Professors
    “It’s all the same. We don’t need new quality
     dimensions. We don’t need new measurement
     tools.”
 Young Professors
    “e-Service quality is very different.”
         It involves person-to-technology interactions, and
          usually not the way they are dressed, whether they
          smile, physical buildings, etc.
         We need to publish our own papers.               23
   Measuring & Controlling Quality
   e-Service Quality
 e-Service Quality Dimensions
    Ease of Ordering
    Product Selection
    Product Information
    Customer Support
    Order Tracking
    On Time Delivery
    etc.

                                 24
     Measuring & Controlling Quality
     e-Service System Qualities
 Systemic Qualities (SUN)
     User-Level Qualities
         Usability
         Accessibility
     Service-Level Qualities
         Performance              “The list of systemic
         Reliability             qualities is potentially
         Availability
     Strategic-Level Qualities      inexhaustible.”
         Scalability
         Flexibility
     System-Level Qualities
         Security
         Manageability
         Maintainability
                                                             25
     Measuring & Controlling Quality
     e-Service System Qualities
 SunTone Quality of Service (QoS) Dimensions mentioned

       Reliability                      System-Independent
       Performance                      Location-Independent
       Security                         Updatability
       Consistency                      Flexibility
       Functionality                    Assemble-able
       Predictability
       Public
       Shared
       Reusable
       Coarse-Grained
       Controllable
       Manageable


                                                                 26
Strategies for Managing Quality




                                  27
   Strategies for Managing Quality

1. Outsource to Online Customer Rating
   Vendors
2. Use Secret Shoppers
3. Measure Quality Yourself




                                         28
Strategy #1:
Online Customer Rating Vendors




                                 29
     Online Customer Rating Vendors

 Questions to Guide Quality Management Efforts
    How to manage public perceptions?
         Request to be removed from ratings system?
         Provide data when requested?
              ex: B-schools … provide yearly updates to Business Week
         Proactively work with quality rating service?
              Advise of site updates
              Advise of new service attributes
              Actively monitor “customer feedback” sites for “trolls” who
               just try to get excitement out of making controversial
               statements


                                                                             30
     Online Customer Rating Vendors
   BBB Online
   Bizrate
   Epinions.com
   Gomez Advisors
   Forrester Research
   Consumer Reports
   Web Watchdogs
   ePublicEye
   DooYoo (dooyoo.co.uk)
   Keynote Systems
   TRUSTe
   Rating Wonders (closed 2002)
                                   31
   Online Customer Rating Vendors

 What do they do?
    Ratings Reporting
       Collect data on service attributes
       Reduce data into scores that rate a small set of
        quality dimensions
    Customer Comment Reporting
       Customers can openly communicate their
        experiences with your service


                                                           32
      Online Customer Rating Vendors

 Object/Event Being Measured
     Transactions - consumer measurement at point of purchase
           BizRate “Gold” (attributes, perceptions)
           WebWatchdog (attributes, perceptions)
     Transactions - expert ratings
           BizRate “Silver” (attributes, ratings)
           Rating Wonders (attributes, ratings)
           Gomez Associates (attributes, ratings)
     Page Oriented - consumer measurement on page
           Opinion Lab
     Content Oriented
           Web Guide magazine (expert ratings)
           Watchfire (Web-spider content analysis)              33
          Online Customer Rating Vendors
          BizRate
                          Perception
                               Overall Service Quality
                               Ease of Ordering
                               Product Selection
 Attributes                   Product Information
     Ordering Methods
                               Product Prices
      Supported
     Special Features         Website Navigation and
     Delivery Methods          Looks
      Available                On-Time Delivery
     Payment Methods          Product Representation
      Accepted
                               Privacy Policies
                               Product Shipping and
                                Handling
                               Level and Quality of
                                Customer Support        34
      Online Customer Rating Vendors
      RatingWonders
                                 Ratings
                                      Overall Rating
 Attributes
                                      Products
     Product attributes
                                      Service
     Service attributes
                                      Site Quality
     Site Quality attributes
                                      Features
     Feature attributes
                                      Ordering
     Ordering attributes
                                      Payment
     Payment attributes
                                      Shipping
     Shipping attributes
                                      Returns
     Return attributes


                                                        35
     Online Customer Rating Vendors

 Object/Event Being Measured
    Content Oriented
         Web Guide magazine (expert ratings)
         Watchfire (Web-spider content analysis)
         Apple’s iReview (Mac-friendly expert ratings)
    Consumer Comments
         Gomez
         Epinions
         TRUSTe
         Web Watchdog

                                                          36
        Online Customer Rating Vendors

 Some Characteristics of Online Rating Vendors
       Positioned as Omniscient Quality/Satisfaction Gurus
       Aggregators of information about websites’ services
            B2B Marketing Researcher/Expert Service business model
            B2B Subscription business model
       Affiliate-oriented … want a piece of each transaction
            Affiliate business model
            Infomediary/Recommender business model
       Advertising oriented
            Advertising business model
       Border on e-Retailing
            Merchant business model
                                                                      37
    Online Customer Rating Vendors
 Questions to Guide Quality Management Efforts
    What is the real long-term business model of your
     service-quality measurement vendor?
       Service Quality measurement, analysis, reporting?

       Transaction fees from referrals?
             Vendor might outsource their measurement
             Vendor might discontinue their measurement program,
              and use someone else’s
         Data vending?
             Privacy issues? How much data do you want your SQ
              measurement company to have about your customers?
         Retailing?                                               38
             Vendor might discontinue their measurement program
Strategy #2:
Secret Shoppers




                  39
    Secret Shoppers
 “Secret Shopper” or “Mystery Shopper”
    Common strategy in traditional services
       E.g., someone paid by restaurant to eat and report
        on service experiences
    Common strategy of the press
       “We visited 10 sites and ordered products at each.
        Here are our findings.”
    Suggested in e-Service
       Try out your own service
       If you don’t like the results, your customer
        probably won’t either                                40
     Secret Shoppers
 e-Service “Secret Shopper” Tasks
    Determine your (and competitors’) easy-to-do-
     business-with quotient
    Test your customer service rep empowerment level
    Try out the experience on your site
    Learn something new from an e-Service, and envision
     how it would be useful on yours
    Check how easy it is to make contact with a human
     representative
    Monitor a purchase end-to-end from order to delivery
    Examine your service recovery activities
    etc.
                                                        41
Strategy #3:
e-Service Quality Measurement




                                42
     e-Service Quality Measurement
 Why measure e-Service Quality yourself (and develop
  your own set of quality measures)?
     Many service quality models were inductively derived from
      customer comments about those services
     Problem with this?
         A number of IS researchers suggest that humans tend not to be
          able to fully understand the complexity of modern
          IT-based service systems
         Systems can only be correctly understood through modeling the
          systems themselves (Scott 2001)
     Growing opinion of researchers in E-Service Quality
         Future service quality research for services involving information
          technologies should be based on the actual attributes of such
          services (Carr 2002)


                                                                           43
     e-Service Quality Measurement

 Questions to Guide Quality Management Efforts
    Do you want to measure quality of a “sub-system” of
     your e-Service process?
       Do you have a model (service-blueprint) of the e-Service
        system (of the “service-product” or “service-process”)?
          D.I.Y.
              Define your own satisfaction dimensions and
                 measure(s) for that sub-system
              Directly measure consumer as they are using that
                 sub-system
       Do you want to measure quality of individual pages?
          OpinionLab
                                                                   44
    e-Service Quality Measurement
 Levels of measurement
    Objective Measure
         Service attributes
             “Has shopping cart”
             “Allows customers to pay by VISA credit card”
         Errors/Defects in system
             “Page not available when visited”, “Dead Link”
    Abstract/Subjective Measure
         Customer satisfaction perceptions
         Expert ratings of customer satisfaction
         Customer comments - written                          45
    e-Service Quality Measurement
 Objective Measures
    Possible to use statistical process control (SPC)
     tools
       Repetitive activities within your site (or delivery
        processes beyond it) can be studied and controlled
       Frequency across some space
          Errors across a page
          Failures within a week
          Delivery problems during a month


                                                          46
     e-Service Quality Measurement
 Abstract/Subjective Measures
    Single item questions
       “How would you rate the On Time Delivery quality of your
        experience? (1=horrible, 10=fantastic)”
    Multiple item scales
       Ex: Reliability (Source: Gefen 2002) [Rating from 1 to 7]
           “When Amazon.com promises to do something by a certain
            time, it does so.”
           “When users have a problem, Amazon.com shows a sincere
            interest in solving it.”
           “Amazon.com is dependable.”
           “Amazon.com provides its services at the time it promises to do
            so.”
                                                                         47
   e-Service Quality Measurement

 Which e-Service Quality dimensions to
  use?
    Assuming that you’ve identified all possible
     quality dimensions …
       Card sorting method for choosing a relevant
        subset of dimensions (Upchurch, et al. 2001)
       Extended Web Assessment Method rating method
        for choosing most relevant subset of dimensions
        (Schubert 2003)

                                                     48
    e-Service Quality Measurement

 How to measure customer experiences using
  surveys?
    Approaches
       “Pop-up” surveys used to gather customer
        feedback
       Post-checkout survey pages
    Survey process
       Build it into your website/e-Service
       Outsource it to a measurement service
                                                   49
Processes for e-Service Quality
Management




                                  50
    Quality Management Processes

1. Vision/Benchmarking/Secret Shopper
    e-Service book
2. Continuous Improvement
3. Build quality into your architecture
    SunTone 3DF
4. Derive your quality measures from your e-
   service system blueprints
    Field, Heim & Sinha (2002)
                                           51
    Quality Management Processes
    e-Service Book
 e-Service Book
    Ask the “Academy Award question”
       Get the customer to specify their vision of their real needs
        and what the possible future e-Services would be like to
        fulfill those needs
       Captures future quality expectations
    Experience your e-Service and then experience
     competitor e-Services
       Test the extent of performance in the e-Service
       Actively rate each
       Compare your performance to other e-Services to find out
        what you are doing well and not so well

                                                                       52
    Quality Management Processes
    Continuous Improvement
 Continuous Improvement
   “Plan-Do-Check-Act” cycle
                          Continuously measure
                            and collect data


   Implement
    changes                                                    Interpret
                                                                results




         Identify improvement             Perform root-cause
             opportunties                      analysis
                                                                           53
    Quality Management Processes
    Continuous Improvement
 Continuous Improvement
   Quality Tools
      SPC Charts – for repetitive processes
      Check sheets
      Pareto charts
      Cause and effect diagrams




                                               54
    Quality Management Processes
    Statistical Approaches
 Use some variant of regression analysis to study
  the relationship between
    service attributes
    service quality
    service outcomes – customer loyalty, repurchase,
     customer switching
 Regression techniques often used
    Probit
    Tobit
    Logit
                                                        55
    Quality Management Processes
    SunTone Methodology
 Symptoms of Bad e-Service Quality Found
  Throughout Development Life-Cycle
      Management
      Requirements
      Development
      Deployment
      Use
      Operations
      Maintenance

                                            56
    Quality Management Processes
    SunTone Methodology
 Drivers of Good e-Service Quality (p. 69-70)
    Based on well-defined, public interfaces
    Can be shared and reused by other services, end
     users, and network service developers
    Easily controllable and manageable
    Can be brokered, billed, administered, monitored,
     advertised, or syndicated
    System and location independent
    Can be assembled and reassembled to create new
     services
    Composed of object-oriented, easily distributable
     pieces of code
    Deliver predictable quality of service (QoS) levels   57
   Quality Management Processes
   SunTone Methodology
 SunTone Methodology
   Builds quality dimensions into the system
    during architecting of the system
   Layers + Tiers + Systemic Qualities
   Systemic qualities drive the choices for
    architecting the Layers and Tiers



                                                58
     Quality Management Processes
     SunTone Methodology

SunTone
 “3DF”




                           Securability
                              Performance
                                 Reliability
                                   Availability
           Application

          Upper Platform

          Lower Platform

             Hardware
                                                  59
Quality Management Processes
SunTone Methodology
                                 Line Item
                            Order
                  Customer               Catalog
                        Segment Product




 HTML      JSP      EJB     JMS     APPC


Netscape   iWS      iAS MQSeries CICS


Windows Solaris Solaris Solaris     MVS

  PC       E450    E5500   E250    ES9000
                                                   60
     Quality Management Processes
     SunTone Methodology
 Formalizes the 3D Approach
 Based on the industry standard Rational
  Unified Process (RUP)
    Driven by Use Cases
    Iterative and Incremental
    Architecture-Centric
 Extends RUP
    Patterns Based
    Systemic Quality Driven (i.e., Emphasizes QoS)

                                                      61
               Quality Management Processes
               SunTone Methodology
                            Functional                  Service Level
Inception




                           Requirements                 Requirements
Elaboration




                  Functional              Structural        Validate       Structural
                   Design                  Design                          Prototype
                                                              Refine

                Functional                     Structural Specifications
               Specifications
Construction




                                             Code
                                          Production
                                                                                        62
     Quality Management Processes
     Field, Heim & Sinha (2002) Methodology
 Field, Heim and Sinha (2002)
    Generate Use Case diagrams and other UML diagrams
     of e-Service design
    Extend diagrams to incorporate service flows within
     the e-Service
    Link quality dimensions to the entities and flows
     within the diagrams
    Create a strategy for measuring quality dimensions that
     relate to important entities/flows within the e-Service


                                                          63
        Quality Management Processes
        Field, Heim & Sinha (2002) Methodology
 E-Service Modeling with
  Unified Modeling Language
    Example of humans
     interacting with service
     systems
    How humans will use the
     system?




                                            64
   Quality Management Processes
   Field, Heim & Sinha (2002) Methodology
 The Approach
    Utilize existing models of E-Service process (in
     UML)
    Translate UML model into a process model of
     E-Service that identifies entities and service
     transactions
    Link quality to process model
        Map dimensions from extant quality models onto the
         structure of an E-Service system
        Use process model to identify relevant new quality
         dimensions
    Use process model and quality set to manage
     E-Service system
                                                              65
     Quality Management Processes
     Field, Heim & Sinha (2002) Methodology
A Process Model of an
 E-Service
  Entities
  Service transactions
  Physical product flows




                                          66
      Quality Management Processes
      Field, Heim & Sinha (2002) Methodology
 Linking Quality Dimensions to the E-Service System




                                                       67
    Quality Management Processes
    Field, Heim & Sinha (2002) Methodology
 Applying the Process Model
    Focusing on defining quality dimensions for an
     E-Service system component
        Identify system component of interest to manage
        Use table to identify quality dimensions driven by that
         component
    Insights
        Suggests which levers (i.e., system component/quality
         dimension pair) are available for managing and improving
         quality
        Provides a diagnostic tool for identifying quality problems


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    Quality Management Processes
    Field, Heim & Sinha (2002) Methodology
 Applying the Process Model
     Focusing on a Quality Dimension
         Interest is in managing/improving a specific quality dimension
         Map from quality dimension, into appropriate set of system
          components identifiable as driving that dimension
         Ex: “Ease of Ordering” is affected by
             6 service system entities + 4 service transactions
     Insights
         Extant quality approaches (e.g. SERVQUAL) use a single
          summary judgment … perceptions, but no operational lever
         Our approach
             Can inform about overall satisfaction
             Provides operational lever(s) for improving the service


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      Summary

 Several quality measurement techniques currently
  employed
 Survey of quality management strategies and
  methodologies




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