TUTCRIS - Tampereen teknillinen yliopisto

TUTCRIS

Visual decision support for business ecosystem analysis

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
Sivut271-282
Sivumäärä12
JulkaisuExpert Systems with Applications
Vuosikerta65
DOI - pysyväislinkit
TilaJulkaistu - 15 joulukuuta 2016
OKM-julkaisutyyppiA1 Alkuperäisartikkeli

Tiivistelmä

This study comparatively evaluates the effectiveness of three visualization methods (list, matrix, network) and the influence of data complexity, task type, and user characteristics on decision performance in the context of business ecosystem analysis. We pursue this objective using an exploratory study with 14 prototypical users (e.g. executives, analysts, investors, and policy makers). The results show that in low complexity contexts, decision performance between visual representations differ but not substantially. In high complexity contexts, however, decision performance suffers significantly if visual representations are not appropriately matched to task types. Our study makes several theoretical and practical contributions. Theoretically, we extend cognitive fit theory by investigating the impact of business ecosystem task type and complexity. Managerially, our study contributes to the relatively underexplored, but emerging area of the design of business ecosystem intelligence tools and presentation of business ecosystem data for the purpose of decision making. We conclude with future research opportunities.

Tutkimusalat

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