Embedding Foresight in Business Intelligence

dc.contributor.authorMarti Arran Masters
dc.contributor.authorValtteri Kaartemo
dc.contributor.organizationfi=kansainvälinen liiketoiminta|en=International Business|
dc.contributor.organization-code1.2.246.10.2458963.20.72646005131
dc.converis.publication-id27129160
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/27129160
dc.date.accessioned2022-10-28T14:26:38Z
dc.date.available2022-10-28T14:26:38Z
dc.description.abstract<p>As educators and practitioners, the authors are interested in how to create and develop agile growth companies. They have noticed that business intelligence (BI) is often focused on short-term operative decision-making. At the same time, the authors have envisioned that BI also has potential to provide companies with a better understanding of the future business environment for long-term planning. By putting all the pieces of the puzzle together from the articles in the literature review, the authors identified two themes crucial to the success of BI foresight activities in the firm:</p><p>· Support of top management and active participation in BI activities throughout the enterprise;</p><p>· The IS must be positioned to avoid over-reliance on IT and a mindless approach to data analysis.</p><p>Empowered by these observations, the authors investigated how BI foresight may be embedded in a company culture, utilized in daily activities by human actors in their work roles, and determined whether specially designed IT tools past the experimental stage can be successfully implemented in the firm. The results of this study suggest that detection of weak signals or shifts in the periphery of the horizon during environmental scanning is difficult. BI foresight activities in many companies are not well managed or simply do not exist. In particular, the topic of BI foresight in SMEs is under-researched. Yet it is precisely these activities that companies must embrace in order to achieve competitive advantage in the global market place.</p>
dc.format.extent16
dc.format.pagerange83
dc.format.pagerange98
dc.identifier.eisbn978-1-315-47113-6
dc.identifier.isbn978-1-138-20368-6
dc.identifier.olddbid188296
dc.identifier.oldhandle10024/171390
dc.identifier.urihttps://www.utupub.fi/handle/11111/43697
dc.identifier.urlhttps://www.routledge.com/Global-Business-Intelligence/Munoz/p/book/9781138203686
dc.identifier.urnURN:NBN:fi-fe2021042717324
dc.language.isoen
dc.okm.affiliatedauthorKaartemo, Valtteri
dc.okm.discipline512 Business and managementen_GB
dc.okm.discipline512 Liiketaloustiedefi_FI
dc.okm.internationalcopublicationnot an international co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA3 Book
dc.publisherRoutledge
dc.publisher.countryUnited Kingdomen_GB
dc.publisher.countryBritanniafi_FI
dc.publisher.country-codeGB
dc.publisher.isbn978-1-4724;978-0-203;978-0-415;978-0-7007;978-0-7103;978-0-7146;978-1-134;978-1-135;978-1-136;978-1-138;978-1-315;978-1-317;978-1-351;978-1-84169;978-1-84872;978-1-84893;978-0-8153;978-0-429;978-0-367;978-1-003;978-1-000;978-1-032;978-0-367;978-0-429
dc.relation.ispartofseriesRoutledge Series in International Business and the World Economy
dc.source.identifierhttps://www.utupub.fi/handle/10024/171390
dc.titleEmbedding Foresight in Business Intelligence
dc.title.bookGlobal Business Intelligence
dc.year.issued2018

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