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Question 1. How can we succeed? in a Business School Context Competition comes from Economics, Strategy, and Organizational Perspectives which draw on more widely employed reference disciplines. Assumptions to Argue About. “Competition” implies a zero sum game

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question 1
Question 1
  • How can we succeed?
    • in a Business School Context
    • Competition comes from Economics, Strategy, and Organizational Perspectives
    • which draw on more widely employed reference disciplines
assumptions to argue about
Assumptions to Argue About
  • “Competition” implies a zero sum game
  • It is unusual to cite cognitive literature (see the work of experimental economics and behavioral accountants)
  • Our work does not cite economics, strategy, or organizational research: 3 dissertations:
    • Studied effects of different utility theory cost and probability parameters in softlifting experiment (Peace)
    • Studying effects of problem-solving cues on strategy development (Sampler)
    • Group spreadsheet debugging work cited group problem-solving literature (Joseph)
assumptions to argue about3
Assumptions to Argue About
  • Those fields are secure
    • Colleagues in strategy consider their field as the champion of identity crisis
    • If economics is Arnold Shwarzzeneger, strategy might be Woody Allen.
    • What is Cognitive IT?
      • Somewhere between Jean-Claude Van Damme and Regis Philbin
  • Our work does not cite widely-used reference disciplines
    • Which disciplines are we missing? Pure math? If that is required, we would have schools of Finance/Econ.
so regis how do we succeed
So, Regis, How do We Succeed?
  • Study Interesting Problems (or problems that will become interesting)
  • Attract something:
    • Students
    • Colleagues
    • Grants
    • Reporters
publicity
Publicity
  • Please visit your school’s PR function
  • Much of what we do is interesting to regular people, too.
  • I found new respect from others after:
    • Chatting with Chris Arnold on All Things Considered about applying results of response time research to Web browsing (1996—result of a Washington Post op-ed)
wsj report
WSJ Report
  • Pam Sebastian’s column
  • Word of mouth’s interference on learning a package
  • Ironic Philippe Kahn juxtaposition
  • Also reported in Computerworld, etc.
  • ICIS & CACM articles
cnn tv
CNN TV
  • Study cited by CNN, Business Week, dozens of news-papers, 4 radio programs
  • To appear in CACM
  • Intended to show how a word processing aid needs to fit cognitive abilities of users
question 2a are we doomed always to be a minority
Question 2a: Are we Doomed always to be a Minority?
  • Yes, unless we act.
    • We must be represented on editorial boards and must not turn over all of the crown jewels to hostile forces
      • One person can make a difference: calmly noted the lack of any relevant track for HCI/cognitive research in ICIS 2003 to a program chair; now we have an entire mini-track as a direct result of that conversation
      • Our SIGs will help a great deal.
    • We should broaden our data collection beyond college sophomores at least once in a while
    • We should write carefully, write well, and explain effectively the relevance of our studies
question 2b what happened to the experiments of the 70s and 80s
Question 2b: What Happened to the Experiments of the 70s and 80s?
  • Experiments are hard to construct that have:
    • Basis in theory, but (like Goldilocks and the 3 Bears):
      • Not too soft (supported too little by previous studies): A stretch?
      • Not too hard (supported too much by previous studies): Obvious?
    • Relevance and Rigor
    • Realism of manipulation
    • Representativeness of sample
    • Reasonable magnitude of findings
    • Capture of appropriate constructs
  • How many studies can do all of these? Is it zero? Perhaps.
  • If not zero, do we read them as “guilty until proven innocent?”
    • A recent submission: a big flaw: we didn’t cite an article released 90 days after submission
question 3 what should we do
Question 3: What Should We Do?
  • Let’s figure out how to fairly evaluate experiments: what bed is just right?
  • Let’s ask/plead/demand our journals to provide balanced editorial boards
  • Let’s market our work properly:
    • Don’t oversell it by promising silly implications
    • Don’t undersell it by hiding implications
    • Don’t try to sell it if no implications!
what to do continued
What to Do (continued)?
  • Make agreements to have regular, formal or informal research exchanges
    • Discuss experiments you are designing.
    • Be brutally critical at this stage; the best gift to your colleagues.
    • Withholding criticism is not being kind to them.
  • Pilot tests are not just for PhD Theses! Fix materials; debug procedures; ascertain magnitude of effect size to choose appropriate sample size.
what to do continued12
What to Do (continued)?
  • Before a large investment in the experiment, inventory support for hypotheses
    • If support is meager, perhaps save your energy.
    • If support is widespread, emphasize your contribution
  • Before a large investment in subjects,
    • Do you own tasks before any other steps.
    • You will find obvious difficulties. Fix them.
    • Remove any confounds.
    • Make sure tasks are debugged.
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