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Online Mass Customization and the Customer Experience

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Attribute-based decision-making tool best for constructed preferences. Appropriateness of attribute-based tool increases with task complexity ... – PowerPoint PPT presentation

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Title: Online Mass Customization and the Customer Experience


1
Online Mass Customization and the Customer
Experience
  • Arnold Kamis, Bentley College
  • Marios Koufaris, Baruch College
  • Tziporah Stern, Baruch College
  • NJIT - November 22, 2004

2
Mass Customization
  • The ability to manufacture individually
    customized products and services on a mass
    production scale without a significant cost
    increase.
  • Online examples
  • NikeID
  • Reflect.com
  • Dell

3
Online interfaces
  • Alternative based
  • Select from all possible customized product
    options
  • Attribute based
  • Select from all customizable product attributes
    to customize product
  • Question based
  • Answer relevant questions and have product
    customized for you

4
Research questions
  • What is the best interface?
  • Simple vs. Powerful
  • How much variety to offer?
  • Is more choice always good?
  • Who are the customers/users?
  • Are all users having the same experience?

5
Theoretical background
  • Behavioral decision-making
  • Discovered Preferences (Payne et al. 1988 Coupey
    1994 Fennema et al. 1995)
  • Rational model Optimal choice exists
  • Less realistic in customer decision-making
  • Constructed Preferences (Payne et al. 1992
    Rosenshein 2000)
  • No objective optimal choice
  • Preferences dynamically constructed
  • What is best decision support tool for
    self-customization?

6
Theoretical background
  • Task-technology fit model (Goodhue, 1995)
  • Appropriate technology for specific user tasks
    increases performance and satisfaction
  • Also important are user characteristics
  • What is appropriate technology (interface) for
    online mass customization task?

7
Study variables
  • Measure success of system through customer
    experience
  • Perceived ease of use
  • Perceived usefulness
  • Perceived control
  • Enjoyment
  • Effect of the interface alternative vs.
    attribute
  • Effect of variety Number of possible product
    versions
  • User characteristics Computer anxiety and
    computer playfulness

8
The Interface
  • Alternative-based
  • Customers must deconstruct product into
    attributes and values
  • May inflate perceived variety (3 attributes x 5
    values 125 alternatives)
  • Not very interactive, just pick one from the list
  • Attribute-based
  • Product already deconstructed
  • Actual variety obvious (3 attributes x 5 values
    15 choices)
  • Interactive, experimental, game-like
  • Hypothesis Overall, online customers will
    experience higher (perceived control, perceived
    usefulness, enjoyment) with an attribute-based MC
    interface than with an alternative-based one

9
Variety Is more choice always better?
Source Desmeules, 2002
  • Hypothesis
  • Overall, enjoyment of online MC customers will
    follow an inverted U-shaped curve as variety
    increases.

10
Variety and Interface
  • Attribute-based interface reduces task complexity
    and cognitive effort
  • Hypotheses
  • Enjoyment will start decreasing at a higher
    variety for users who use the attribute-based MC
    interface than for those who use the
    alternative-based one.
  • (Perceived ease of use, perceived control) will
    decrease in the alternative-based interface but
    will remain constant in the attribute-based
    interface as variety increases.

11
The User
  • Computer anxiety and computer playfulness will
    moderate the effect of interface on customer
    experience
  • Hypotheses
  • Overall, the difference in (perceived control,
    perceived usefulness, perceived ease of use,
    enjoyment) between using the attribute-based and
    using the alternative-based interfaces will be
    larger for users with low computer anxiety than
    for those with high computer anxiety.
  • Overall, the difference in (perceived control,
    perceived usefulness, perceived ease of use,
    enjoyment) between using the attribute-based and
    using the alternative-based interfaces will be
    larger for users with high computer playfulness
    than for those with low computer playfulness.

12
Methodology
  • 2x2x3 factorial design
  • Interface Alternative Attribute
  • Product Watch Backpack
  • Variety 8 54 150 possible product versions
  • Web pages created by researchers from NikeID.com
    and Factory121.com with no brand identifiers

13
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16
Methodology
  • Baseline experience
  • Subjects used all three interfaces (including a
    question-based one) at 54-scale to customize a
    candle
  • Then randomly assigned to one of 12 conditions
  • Told that they may win customized watch or
    backpack (incentive)
  • At the end, filled out survey on their experience
    and themselves

17
Data Analysis
  • 329 subjects recruited online through Zoomerangs
    MarketTools
  • Nationally representative sample
  • Ran CFA with AMOS 4.0 to test validity and
    reliability of survey instrument
  • Ran ANCOVAs to test hypotheses
  • Covariates Product Involvement and Web Skills

18
Results
Mean differences are significant at
plt0.001 Hypotheses supported Overall,
attribute-based interface provides a better
customer experience than alternative-based
interface.
19
Results
Main effect of variety significant at
plt0.01 Hypothesis supported Enjoyment follows
inverted U-shaped curve as variety
increases Interaction effect of interface and
variety not significant
20
Results
Interaction effect of interface and variety
significant at plt0.01 Hypothesis supported
Perceived control decreases as variety increases
in alternative-based interface but remains
constant in attribute-based interface
21
Results
Interaction effect of interface and variety
significant at plt0.05 Hypothesis supported
Perceived ease of use decreases as variety
increases in alternative-based interface but
remains constant in attribute-based interface
22
Results
Categorized computer anxiety into low-medium-high
and excluded medium Interaction effect of
interface and computer anxiety significant at at
least plt0.05 Hypotheses partially supported
Computer anxiety moderates effect of interface on
(a) enjoyment and (b) perceived usefulness (but
not perceived control or perceived ease of use)
23
Results
Categorized computer playfulness into
low-medium-high and excluded medium Interaction
effect of interface and computer playfulness
significant at plt0.05 for p. control and
significant only at variety150 for p. ease of
use Hypotheses partially supported Computer
playfulness moderates effect of interface on (a)
perceived control and (b) perceived ease of use
at high variety levels (but not perceived
usefulness or enjoyment)
24
Contributions
  • Theory/Research
  • Attribute-based decision-making tool best for
    constructed preferences
  • Appropriateness of attribute-based tool increases
    with task complexity
  • Verified core ideas of TTF in context of online
    mass customization, including often ignored user
    characteristics
  • Reduction in cognitive effort in online user
    tasks may outweigh reduction in physical effort
  • Computer anxiety affects perceptions on outcome
    while computer playfulness affects perceptions on
    process

25
Contributions
  • Practice/Industry
  • Increase in variety of products without
    appropriate tools to make decisions can have
    negative effect
  • Not all customers are the same More powerful
    interface is often also more complex,
    overwhelming some customers
  • Since computer anxiety affects perceptions
    regarding outcome, always provide ways to
    backtrack or undo actions

26
Future work
  • Part of a larger study
  • Look at question-based interface
  • Impact on behavioral intention
  • Other user characteristics personal
    innovativeness in IT
  • Suggestions for further research
  • Study other products, especially experiential
    ones with non-visual attributes
  • Examine variety at a more detailed level

27
  • Questions?
  • Comments?
  • Marios Koufaris
  • Department of Statistics and Computer Information
    Systems
  • Zicklin School of Business
  • Baruch College, CUNY
  • marios_koufaris_at_baruch.cuny.edu
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