A research model for identifying factors that drive effective decision-making and the future of work

Stephan Kudyba, Jerry Fjermestad, Thomas Davenport

Research output: Contribution to journalArticlepeer-review

28 Scopus citations


Purpose: The evolving digital transformations of organizational processes involve vast complexities. Factors such as labor resources at the individual and team levels that integrate and utilize information resources and evolving technologies to achieve collective intelligence are essential to this process. In order to better understand evolving demands of labor resources, existing research regarding worker/technology interactions for firm performance must be implemented and adapted to the changing market. This paper provides a conceptual research model enabling organizations to better understand the integration of worker/team attributes with collaboration modes, information resources and augmented technologies that yield effective collective intelligence for decision-making. Design/methodology/approach: This manuscript includes a literature review on worker/team attributes interfacing with various technology platforms and the creation of collective intelligence. It then reviews complementary research including leadership elements for organizational outcomes and introduces more current work involving a digital transformation. The literature review provides the underpinnings for a conceptual model that incorporates essential elements for the creation of collective intelligence for decision-making and adds factors that are relevant for digital transformations. These elements include augmented technologies including cognitive technologies, collaborative platforms and worker attributes (skills, social sensitivity, leadership) all of which illustrate components of intellectual capital. Findings: The paper summarizes key findings of existing research in worker/team interactions with technology platforms on organizational performance and provides an applied, conceptual research model incorporating these findings, along with new elements in the digital era for better identifying new worker requirements. Originality/value: The value of this work is the introduction of an applied conceptual model based on established literature findings that includes new technologies (e.g. cognitive technologies), collaboration modes and worker/team attributes to address the requirements of the evolving knowledge worker in the digital era. It provides a framework to better understand more optimal resource allocations for the creation of collective intelligence and integrates the model components within an intellectual capital framework.

Original languageEnglish (US)
Pages (from-to)835-851
Number of pages17
JournalJournal of Intellectual Capital
Issue number6
StatePublished - Sep 23 2020

All Science Journal Classification (ASJC) codes

  • Education
  • General Business, Management and Accounting


  • Cognitive technologies
  • Collective intelligence
  • Digital strategies
  • Knowledge systems


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