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HAŠKOVÁ SIMONA, KUČERA JIŘÍ, KUCHÁR RÓBERT. MAPPING CURRENT STATE IN THE FIELD OF PREDICTION METHODS OF BUSINESS AND ECONOMIC CHARACTERISTICS ACROSS INDUSTRIES. 12 2022. [DOI: 10.33543/12024652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
The results of the prediction of business and economic characteristics provide valuable information to stakeholders (business owners and managers, investors, and shareholders). The aim of the paper is to provide a comprehensive overview on methods applied in practice for predicting significant business and economic variables. The research is structured into selected key industries for most of the world's economies. An extensive literary review of the scientific papers published over the last decade revealed that the most used prediction methods include ANN, GARCH combined with ARIMA. These are the methods strong enough to capture the specifics of the industries for the economic and business prediction purposes. The LS-SVM and ARIMA methods are used separately to a lesser extent. The other methods were used mainly for the purpose of vali-dation of their predicting applicability.
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Yoshikuni AC, Dwivedi R. The role of enterprise information systems strategies enabled strategy-making on organizational innovativeness: a resource orchestration perspective. JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT 2022. [DOI: 10.1108/jeim-10-2021-0442] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PurposeThe paper aims to establish the role of enterprise information systems strategies (ISS) enabled by business strategies for attaining organizational innovativeness (ORIN) mediated by performance (decision-making and business processes) under environmental turbulence.Design/methodology/approachThe research framework is developed based on theoretical grounding and validated with the help of 408 responses from Brazil using SmartPLS path modeling.FindingsThe results of the research suggest that the resource orchestra of enterprise information systems strategy-enabled strategy-making can be a viable alternative to enhance innovation activities in the organizations through the mediated role of performance (decision-making and business process).Practical implicationsThe research demonstrates the role of business function (information systems) strategy enabled overall business strategy-making for achieving innovations in the organization. Fortune organizations are exploiting the information systems strategy enabled business strategy for innovations in the organization; such as Amazon, Walmart, Costco, etc.Originality/valueThe proposed and validated model is a contribution to the enterprise information systems strategy theory. This model presents the role of resource orchestras in achieving innovations in organizations.
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