2018
DOI: 10.22495/cocv15i3c1p4
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Big data-driven stochastic business planning and corporate valuation

Abstract: The research question of this paper is concerned with the investigation of the links between Internet of Things and related big data as input parameters for stochastic estimates in business planning and corporate evaluation analytics. Financial forecasts and company appraisals represent a core corporate ownership and control issue, impacting on stakeholder remuneration, information asymmetries, and other aspects. Optimal business planning and related corporate evaluations derive from an equilibrated mix of top… Show more

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Cited by 22 publications
(2 citation statements)
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“…To overcome these problems, Hager, Yadavalli, and Webber-Youngman (2015) recommends considering the model only as "accurate enough" and solely include primary drivers of the output variable. For this matter, Moro Visconti, Montesi, and Papiro (2018) outlined the importance of big data on the predictive ability of stochastic modelling, especially for short term budgets. Table 1 summarizes what has been done and its relevance and limitations.…”
Section: Budgeting Under Uncertainty and Application Of Monte Carlo S...mentioning
confidence: 99%
“…To overcome these problems, Hager, Yadavalli, and Webber-Youngman (2015) recommends considering the model only as "accurate enough" and solely include primary drivers of the output variable. For this matter, Moro Visconti, Montesi, and Papiro (2018) outlined the importance of big data on the predictive ability of stochastic modelling, especially for short term budgets. Table 1 summarizes what has been done and its relevance and limitations.…”
Section: Budgeting Under Uncertainty and Application Of Monte Carlo S...mentioning
confidence: 99%
“…All the options and hypotheses formulated among the assumptions of the business plan must demonstrate a valid foundation deriving from the application of statistical techniques, official sources, rules of thumb, or simple consolidated practices. In the requisition and identification of this data, it is certainly useful to have access to the so-called big data, which provide not only adequate support, but also a competitive advantage to those who have them available [15][16][17][18].…”
Section: Introductionmentioning
confidence: 99%