Process-Technology Fit: Extending Task-Technology Fit to Assess Enterprise Information Technologies PowerPoint PPT Presentation

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Title: Process-Technology Fit: Extending Task-Technology Fit to Assess Enterprise Information Technologies


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Process-Technology Fit Extending
Task-Technology Fit to Assess Enterprise
Information Technologies

Michele L. Gribbins University of Illinois at Springfield Urbana-Champaign Chandrasekar Subramaniam University of North Carolina at Charlotte Michael J. Shaw University of Illinois at Urbana-Champaign
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Presentation Outline
  • Introduction
  • Motivation
  • Research Objectives
  • Related Literature
  • Process-Technology Fit (PTF) Model
  • Approach to Determine PTF
  • Conclusion
  • Academic Contributions
  • Implications for Practitioners

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Introduction
  • Definition of Enterprise IT
  • Unite data across functions, business units, and
    companies
  • Support users with multiple functionalities,
    infrastructures applications
  • Support internal external process integration
    (Barki Pinsonneault 2005)
  • Potential Advantages (Davenport 1998)
  • Reduce costs
  • Improve productivity performance
  • Increase user satisfaction
  • improve communication coordination

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Introduction
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Financial Reporting
Production Scheduling
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Introduction
Financial Reporting
Production Scheduling
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Research Objective
  • Evaluate the role of the fit between processes
    and IT in understand IT use and process
    performance
  • Identify key variables
  • Propose a PTF model
  • Develop a methodology to measure PTF

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PTF Model
  • Framework from ongoing theoretical work in PTF
    (Shaw et al. 2006)

P1-9
P13
P10-P12
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Process-Technology Fit
  • ITs ability to support a process in reaching
    process goals
  • Fit 1 - the appropriateness of IT features in
    supporting process features (PTF)
  • Fit 2 - the appropriateness between IT features
    IT use context
  • Considers organizational contingencies in which
    the IT is implemented

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Process Routineness
  • The level of repetitiveness, structure,
    programmability, and analyzability
  • The ideal IT support likely changes based on
    level of routineness

High Low
Highly repetitive Highly predictable Activities are well-defined Example Procurement of Direct Materials Lacks well-established methods predefined responses Procedures arent well understood Activities lacks definite boundaries Example Procurement of Replacement Products, Software Development, Strategic Planning
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Process Complexity
  • The overall sophistication of tasks resources
    the additional efforts required
  • Processes benefit differently from specific IT
    features depending on their complexity

High Low
Requires much insight judgment Objectives interpretations conflict Inconsistent inputs Multiple possible solutions Example Procurement of Customized Products Requires little insight judgment No conflicts among objectives interpretations Consistent inputs One or few possible solutions Example Procurement of Off-the-Shelf Products (i.e., Industrial and Office Supplies)
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Process Interdependency
  • Extent to which successful process completion is
    dependent on the successful completion of process
    activities
  • Varies based on resources required for
    generated from various activities

High Low
Requires extensive interaction Reciprocal dependencies Critically linked activities Example Procurement of Hazard Materials, Production Tasks for High-Technology Organizations, Advertising Campaign Lacks well-established methods Requires little interaction among actors Dependencies are pooled or sequential, if any Activities arent critically linked Example Telemarketing
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IT Functionalities
  • The capabilities and tools of IT software
    (Gebauer et al. 2004)
  • Process characteristics determine needed IT
    support
  • Classifications
  • Type of system used (Goodhue Thompson 1995)
  • Type of support provided (Zigurs and Buckland
    1998)
  • Our classification information accessing, data
    processing, communication coordination support

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System Performance (Reliability)
  • The likelihood that a system will remain
    operational (Somani Vaidya 1997)
  • Reliability leads to utilization usage
    compliance (Goodhue Thompson 1995 Croom
    Johnston 2003)
  • Measured
  • User evaluations
  • System-generated metrics

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IT Support
  • The availability of assistance to aid users with
    system.
  • Processes having high support provide adequate
    means for actors to overcome difficulties with
    using system

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Fit 1 (PTF)
  • P1a Processes having high routineness have
    greater fit with information accessing and data
    processing functionalities
  • P1b Processes having low routineness have
    greater fit with communication and coordination
    support functionalities
  • P2a Processes having high complexity have
    greater fit with information accessing and
    communication and coordination support
    functionalities
  • P2b Processes having low complexity have greater
    fit with data processing support functionalities

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Fit 1 (PTF)
  • P3a Processes having high interdependency have
    greater fit with information accessing and
    communication and coordination support
    functionality
  • P3b Processes having low interdependency have
    greater fit with data processing functionality
  • P4 Processes with higher routineness have
    greater fit with system performance
  • P5 Processes with higher complexity have greater
    fit with system performance

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Fit 1 (PTF)
  • P6 Processes with higher interdependency have
    greater fit with system performance
  • P7 Processes with lower routineness require more
    IT support
  • P8 Processes with higher complexity require more
    IT support
  • P9 Processes with higher interdependency require
    more IT support

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IT Use Context
  • Need to consider the process context of IT use to
    better understand (Heine et al. 2003)
  • the impacts of enterprise IT
  • the determinants that drive its use
  • Gebauer et al. (2006) incorporate IT use context
    in TTF model for mobile IS
  • Other elements of the IT use context used in
    understanding fit
  • Frequency/Volume of Like Process Occurrences
  • Process Actors IT Experience
  • Flexibility in Achieving Desired Outcome

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PTF Model
  • Framework from ongoing theoretical work in PTF
    (Shaw et al. 2006)

P1-9
P13
P10-P12
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Process Performance
  • The ability to reach stated process goals
  • To be operationalized in greater detail for
    specific process situations
  • P13a Fit 1 is positively associated with process
    performance
  • P13b Fit 2 is positively associated with process
    performance

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Determining Fit 1
  • Fit 1 - the extent IT supports process attributes
  • Define attributes of process technology
  • Develop profiles using a metric

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Determining Fit 1
  • Determine cells predicted fit values from
    previous research estimation
  • Average the fit for each pair

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Determining Fit 2
  • Fit 2 the extent to which IT supports various
    use contexts
  • Determine cells predicted fit values
  • Average the fit for each pair

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Next Steps
  • Further develop the PTF metric to identify fit
    estimates
  • Test effectiveness of framework metric
  • Metric-computed fit will be tested against survey
    of user perceptions of fit
  • Metric-computed fit will be tested in its ability
    to predict process performance

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Contributions
  • Development of a PTF model and procedure to
    compute fit
  • Emphasize the influence of the IT use context on
    fit
  • Identify IT characteristics that maximize Fit 1
    (PTF) Fit 2 (IT/Use Context)
  • Aid in the development of more effective IT
    strategies

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  • Thank You!
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