'Red Flag' Predictions

Using Frontline Employees to Assess the State of Operational Capabilities

    Research output: Contribution to conferencePaperResearchpeer-review

    Abstract

    This conceptual article introduces a new way to predict firm performance based on aggregation of sensing among frontline employees about changes in operational capabilities to update strategic action plans and generate innovations. We frame the approach in the context of first- and second-generation prediction markets and outline its unique features as a third-generation prediction market. It is argued that frontline employees gain deep insights when they execute operational activities on an ongoing basis in the organization. The experiential learning from close interaction with internal and external stakeholders provides unique insights not otherwise available to senior management. We outline a methodology to agglomerate these insights in a performance barometer as an important source for problem identification and innovation.
    Original languageEnglish
    Publication date2014
    Number of pages7
    Publication statusPublished - 2014
    EventSMS Special Conference Tel Aviv: Startup and Restart Strategies - Tel Aviv, Israel
    Duration: 9 Mar 201411 Mar 2014
    http://telaviv.strategicmanagement.net/index.php

    Conference

    ConferenceSMS Special Conference Tel Aviv
    CountryIsrael
    CityTel Aviv
    Period09/03/201411/03/2014
    Internet address

    Bibliographical note

    CBS Library does not have access to the material

    Cite this

    Hallin, C. A., Andersen, T. J., & Tveterås, S. (2014). 'Red Flag' Predictions: Using Frontline Employees to Assess the State of Operational Capabilities. Paper presented at SMS Special Conference Tel Aviv, Tel Aviv, Israel.
    Hallin, Carina Antonia ; Andersen, Torben Juul ; Tveterås, Sigbjørn. / 'Red Flag' Predictions : Using Frontline Employees to Assess the State of Operational Capabilities. Paper presented at SMS Special Conference Tel Aviv, Tel Aviv, Israel.7 p.
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    abstract = "This conceptual article introduces a new way to predict firm performance based on aggregation of sensing among frontline employees about changes in operational capabilities to update strategic action plans and generate innovations. We frame the approach in the context of first- and second-generation prediction markets and outline its unique features as a third-generation prediction market. It is argued that frontline employees gain deep insights when they execute operational activities on an ongoing basis in the organization. The experiential learning from close interaction with internal and external stakeholders provides unique insights not otherwise available to senior management. We outline a methodology to agglomerate these insights in a performance barometer as an important source for problem identification and innovation.",
    author = "Hallin, {Carina Antonia} and Andersen, {Torben Juul} and Sigbj{\o}rn Tveter{\aa}s",
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    Hallin, CA, Andersen, TJ & Tveterås, S 2014, ''Red Flag' Predictions: Using Frontline Employees to Assess the State of Operational Capabilities' Paper presented at, Tel Aviv, Israel, 09/03/2014 - 11/03/2014, .

    'Red Flag' Predictions : Using Frontline Employees to Assess the State of Operational Capabilities. / Hallin, Carina Antonia; Andersen, Torben Juul; Tveterås, Sigbjørn.

    2014. Paper presented at SMS Special Conference Tel Aviv, Tel Aviv, Israel.

    Research output: Contribution to conferencePaperResearchpeer-review

    TY - CONF

    T1 - 'Red Flag' Predictions

    T2 - Using Frontline Employees to Assess the State of Operational Capabilities

    AU - Hallin, Carina Antonia

    AU - Andersen, Torben Juul

    AU - Tveterås, Sigbjørn

    N1 - CBS Library does not have access to the material

    PY - 2014

    Y1 - 2014

    N2 - This conceptual article introduces a new way to predict firm performance based on aggregation of sensing among frontline employees about changes in operational capabilities to update strategic action plans and generate innovations. We frame the approach in the context of first- and second-generation prediction markets and outline its unique features as a third-generation prediction market. It is argued that frontline employees gain deep insights when they execute operational activities on an ongoing basis in the organization. The experiential learning from close interaction with internal and external stakeholders provides unique insights not otherwise available to senior management. We outline a methodology to agglomerate these insights in a performance barometer as an important source for problem identification and innovation.

    AB - This conceptual article introduces a new way to predict firm performance based on aggregation of sensing among frontline employees about changes in operational capabilities to update strategic action plans and generate innovations. We frame the approach in the context of first- and second-generation prediction markets and outline its unique features as a third-generation prediction market. It is argued that frontline employees gain deep insights when they execute operational activities on an ongoing basis in the organization. The experiential learning from close interaction with internal and external stakeholders provides unique insights not otherwise available to senior management. We outline a methodology to agglomerate these insights in a performance barometer as an important source for problem identification and innovation.

    M3 - Paper

    ER -

    Hallin CA, Andersen TJ, Tveterås S. 'Red Flag' Predictions: Using Frontline Employees to Assess the State of Operational Capabilities. 2014. Paper presented at SMS Special Conference Tel Aviv, Tel Aviv, Israel.