Table 5

Complexities in the DS journey

Type of complexityComplexities in the DS journeyExamples
Structural complexity
  • -

    Organizational structure

  • -

    Skillsets and workforce

  • -

    IT infrastructure

  • -

    Customer engagement

  • -

    New departments or teams focused on service design, remote support, and data analytics

  • -

    New employees with expertise in data analysis, software development, service designetc.

  • -

    New software systems, data analytics tools, and communication technologies to support their service offerings

  • -

    New ways of customer engagement, e.g. subscription-based models or remote monitoring

Sociopolitical complexity
  • -

    Supply chain

  • -

    Customers

  • -

    Regulatory and legal challenges

  • -

    The need for interoperability among different systems and aligning interests and incentives

  • -

    Customers’ new needs and preferences, conflicts in setting priorities, and the need to manage various touchpoints

  • -

    Data privacy, intellectual property, and contractual issues

Emergent complexity
  • -

    Digital technology

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    Data

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    Business model

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    Issues related to connectivity, interoperability, data security, and scalability

  • -

    The complexity of managing and integrating large volumes of data from various sources and leveraging analytics to drive service improvements and value creation

  • -

    The need for rethinking existing business models and designing new business models and new pricing structures

Source(s): Created by authors

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