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Multi-criteria decision-making leveraged by text analytics and interviews with strategists

Author

Listed:
  • Jorge Iván Pérez Rave

    (Universidad Nacional de Colombia
    IDINNOV S.A.S)

  • Gloria Patricia Jaramillo Álvarez

    (Universidad Nacional de Colombia)

  • Juan Carlos Correa Morales

    (Universidad Nacional de Colombia)

Abstract

Strategic decision-making in organisations is a complex process affected by preferences, experiences, perspectives, and knowledge, which, in most cases, are ambiguous, contradictory, and represented in unstructured data. This paper develops a methodological framework to address strategic decision-making processes from a multi-criteria perspective, assisted by text analytics and interviews. The framework comprises five stages and 12 steps, and is empirically tested in a decision scenario involving a strategic focus for future analytics initiatives in order to stimulate value generation from analytics. The proposed framework enables the discovery, validation, and prioritisation of strategic patterns from relevant interview data. Among six decision alternatives discovered in the validation scenario, customer analytics was the strategic focus most relevant to future analytics initiatives. This article contributes to understanding and addressing complex decision-making processes and mixed research in organisations, through a multi-criteria perspective leveraged by a text-driven computational approach.

Suggested Citation

  • Jorge Iván Pérez Rave & Gloria Patricia Jaramillo Álvarez & Juan Carlos Correa Morales, 2022. "Multi-criteria decision-making leveraged by text analytics and interviews with strategists," Journal of Marketing Analytics, Palgrave Macmillan, vol. 10(1), pages 30-49, March.
    • Handle: RePEc:pal:jmarka:v:10:y:2022:i:1:d:10.1057_s41270-021-00125-8
    DOI: 10.1057/s41270-021-00125-8
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