A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
Futures thinking in market-shaping research: Developing an onto-epistemological foundation and analytical framework
Tekijät: Halinen, Aino; Kaartemo, Valtteri; Tapio, Petri
Kustantaja: Elsevier
Julkaisuvuosi: 2026
Lehti: Journal of Business Research
Artikkelin numero: 116179
Vuosikerta: 210
ISSN: 0148-2963
eISSN: 1873-7978
DOI: https://doi.org/10.1016/j.jbusres.2026.116179
Julkaisun avoimuus kirjaamishetkellä: Avoimesti saatavilla
Julkaisukanavan avoimuus : Osittain avoin julkaisukanava
Verkko-osoite: https://doi.org/10.1016/j.jbusres.2026.116179
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/523223032
Rinnakkaistallenteen lisenssi: CC BY
Rinnakkaistallennetun julkaisun versio: Kustantajan versio
Although market‑shaping research is inherently future‑oriented, it has paid limited attention to how actors envision future markets. Companies’ visions are assumed to drive market‑shaping efforts, yet how these visions are constructed and evolve remains underexplored. Two fundamental weaknesses account for this omission. First, the ontological and epistemological assumptions of market-shaping research are inconsistent. Second, the mental models that market-shaping actors form about future markets have largely been neglected. To address these shortcomings, this study proposes systematic incorporation of futures thinking into market-shaping research. Drawing on futures research, it develops an onto‑epistemological foundation for future-oriented market-shaping studies and introduces an analytical framework for examining actors’ mental models of how markets could or should be developed. The paper concludes with a research agenda encouraging empirical inquiry into how market actors anticipate and respond to uncertainties and cultivate alternative views beyond singular, deterministic visions.
Ladattava julkaisu This is an electronic reprint of the original article. |
Julkaisussa olevat rahoitustiedot:
We gratefully acknowledge the financial support received from the Dr. h.c. Marcus Wallenberg Foundation for Research in Business Administration, Finland, the Foundation for Economic Education, Finland, and the Strategic Research Council (SRC) within the Research Council of Finland grant for TRANSFORM-AI (#372923).