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    The Hidden Minefields in the Adoptionof Sales Force Automation Technologies 1

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    The Hidden Minefields in the

    Adoption of Sales Force

    Automation Technologies

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    Author(s): Cheri Speier and ViswanathVenkatesh

    Source: Journal of Marketing, Vol. 66,

    (Jul., 2002), pp. 98-111

    Published by: American Marketing

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    Abstract Sales force automation technologies are increasingly used to support

    customer relationship management strategies; however, commentary

    in the practitioner press suggests high failure rates.

    The authors use identity theory as a lens to better understand

    salesperson perceptions associated with technology rejection.

    They collected survey data from 454 sales people across two firms

    that had implemented sales force automation tools.

    The results indicate that immediately after training, salespeople had

    positive perceptions of the technology. However, six months afterimplementation, the technology had been widely rejected, and

    salesperson absenteeism and voluntary turnover had significantly

    increased.

    There were also significant decreases in perceptions of organizational

    commitment, job satisfaction, person-organization fit , and person-job

    fit across both firms.

    Finally, salespeople with stronger professional commitment indicated

    more negative job-related perceptions as experience with the

    technology increased.

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    Terminologies

    Sales Force Automation sales force automation is a technique of

    using software to automate the businesstasks of sales, including order processing,

    contact management, information sharing,inventory monitoring and control, ordertracking, customer management, salesforecast analysis and employee performance

    evaluation. SFA is often used interchangeably with CRM;

    however, CRM does not necessarily implyautomation of sales tasks.

    The Hidden Minefields in the Adoptionof Sales Force Automation Technologies 5

    http://www.ecrmguide.com/http://www.webopedia.com/TERM/S/software.htmlhttp://www.webopedia.com/TERM/C/CRM.htmlhttp://www.webopedia.com/TERM/C/CRM.htmlhttp://www.webopedia.com/TERM/S/software.htmlhttp://www.ecrmguide.com/
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    Variables

    IndividualCharacteristics Age : influence both individual perception about

    technology (i.e. older workers shown morenegative perception about technology)

    Sex: Women shows more negative perceptionabout adoption of technology

    Disposition towards Technology

    Self-efficacy : assess the degree to which a

    person believes that he or she has the ability touse a technology to accomplish a particular tasks

    Playfulness: Persons tendency to actimaginatively and spontaneously with computer.

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    Cont . Role Perception

    Role Clarity : Uncertainty regarding the type of job behavior toperform in a specific situation

    Role Conflict : Experiencing incompatible expectations thatneed to satisfied simultaneously

    Organizational Characteristics Voluntariness

    User Involvement

    User Participation Management Support

    Individual perceptions of Technology Relative Advantage : extent to which a system perceived as

    better that its precursor

    Visibility : The extent to which the system is seen in theorganization

    Compatibility: Compatibility of System with organizationalnorms.

    Complexity : free from physical and mental efforts

    Results demonstrability : amendable to demonstrateThe Hidden Minefields in the Adoptionof Sales Force Automation Technologies 7

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    Person Technology Fit

    Job Fit: The degree to which SFA tools

    enhance the job

    Professional Fit: the degree to which theSFA tools enhance professional

    development or long-term career

    Opportunities.

    Professional State

    Professional commitment

    Cont .

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    Hypothesis

    H1 : Individual characteristic will influenceindividual perception of the SFA Technology

    H2 :Role perception will positively influenceindividual perception of the SFA Technology

    H3 : Role perception will negatively influencesubjective outcomes

    H4: Role perceptions will negatively influenceobjective outcomes

    H5: Organizational characteristics will positively

    influence individual perceptions of the SFAtechnology

    H6 : Individual perception of the SFA Technologywill positively influence perception of the job andprofessional fit

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    Hypothesis Cont

    H7 :Person Technology fit (job fit andprofessional fit) will positively influence subjectiveoutcomes

    H8: Person Technology will positively influenceobjective outcomes.

    H9 : Professional commitment will negativelyinfluence person technology fit.

    H10 : Professional commitment will negativelyinfluence subjective outcomes

    H11 : With increasing experience with SFAtechnology, subjective and objective outcomeswill become more negative compared withoutcomes earlier in the implementation process

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    Hypothesis

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    Research Method

    Organizations & Participant Firm 1: Telecom :399 Salespeople (277 provided all

    data at all points of measurements)

    Firm 2: Real Estate :251 Salespeople (177provided all data at all points of measurements)

    Data Collection Data collected over 6 months( perceptual data

    collected after 2 months) &( objective data collected in 6months)

    3 trainings are giving T1, T2 & T3

    Paper-pencil survey after 6 weeks

    Measures Collected through surveys (table 1)

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    Results

    Measurement Model EQS 3.0 was used to perform confirmatory factor

    analysis (CFA) and test the Structure model

    t-values

    Comparative fit Index

    Structure Model

    EQS used to test the research model

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    ConstructM

    easure

    sand

    Reliabilities

    basedonCFA

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    Research Model Testing

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    Comparison of Subjective and Objective outcomes over

    time

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    Limitations

    SFA Technologies studied are similarto and representatives of many other

    SFA implementation, thus increasing

    the potential generalizability of thecurrent work

    With reference to internal validity,

    there were no changes in sales forcecompensation, structures, quotas, so

    forth over the duration of study

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    Implementation

    This model provides the morecomplete understandings SFA

    implementation in a particular and

    employee acceptance in general

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    Conclusion

    This research demonstrates empirically thattechnology, and specifically SFA tools, cangenerate excessive within-salespersonconflict that results in significantorganizational costs-a loss of not only

    financial investment but also valuedemployees.

    By understanding and proactively assessingthe potential for this conflict and then

    implementing mechanisms to manage thisconflict appropriately, firms will stand a muchbetter chance of obtaining successful SFAimplementation

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