Knowledge management and triangulation logic in the foresight research and analyses in business process management

Jari Kaivo-oja, Theresa Lauraeus

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

4 Citations (Scopus)

Abstract

The idea of the article is to integrate knowledge management thinking to triangulation logic. Triangulation logic can be seen as a quality control mechanism in the field of knowledge management. Triangulation logic can also see as a critical knowledge management mechanism, which helps integrate inductive and deductive thinking in scientific projects. Triangulation is a vehicle for cross validation when two or more distinct methods are found to be congruent and yield comparable data. Today various scholars have noted that qualitative and quantitative methods should be viewed as complementary rather than as rival approaches. In fact, most textbooks underscore the desirability of mixing methods given the strengths and weaknesses found in single mono-method designs. In this kind of scientific discussion, the triangulation logic, which integrates quantitative and qualitative methods, is a highly relevant knowledge management issue. Today future-oriented foresight research is mostly based on quantitative and qualitative analyses. The three key elements of foresight activity are diagnosis (hindsight), prognosis (foresight) and description (decision support). In order to integrate triangulation logic to these foresight activities, experts and knowledge management scientists must think carefully alternative strategies, how to build up logical link between triangulation logic and foresight activities. This article provides some new ideas, how these novel knowledge management strategies could be constructed, when we look KM issues from broader triangulation perspective.

Original languageEnglish
Title of host publicationKnowledge Management in Organizations - 12th International Conference, KMO 2017, Proceedings
Pages228-238
Number of pages11
Volume731
DOIs
Publication statusPublished - 2017
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Knowledge Management in Organizations - Beijing, China
Duration: 21 Aug 201724 Aug 2017
Conference number: 12

Publication series

NameCommunications in Computer and Information Science
Volume731
ISSN (Print)1865-0929

Conference

ConferenceInternational Conference on Knowledge Management in Organizations
Abbreviated titleKMO
CountryChina
CityBeijing
Period21/08/201724/08/2017

Keywords

  • Foresight activities
  • Foresight methods
  • Foresight research
  • Knowledge management strategies
  • Triangulation logic

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