Stage level measurement of information systems and Analytics diffusion in organizations

• Ano de defesa: 2019
• Autor(a) principal: Favaretto, José Eduardo Ricciardi
• Orientador(a): Meirelles, Fernando de Souza
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: eng
• Palavras-chave em Português: Teoria de estágios; Teoria da difusão de inovação; Estágios de crescimento; Nível de estágio da TIC/SI organizacional
• Palavras-chave em Inglês: Exploration; Exploitation; Data Analytics; Stages of growth theory; Innovation diffusion theory; Stages of growth; Organizational stage level of ICT/IS initiatives
• Link de acesso: https://hdl.handle.net/10438/27501

The current data-driven knowledge economy, in big data era and digital business transformation, have been affecting organizations and required a better management of their Information and Communication Technology / Information Systems (ICT/IS) initiatives, combined with data analysis as a valuable asset of the organization for decision-making, beyond the continuous search for Innovation as competitive advantage in the market. This research was conceptually structured based on three theoretical lenses: Stages of Growth Theory (SGT) from Management Information Systems (MIS) field, the theory of Organizational Learning which describes two distinct and complementary ways in which organizations learn / innovate (exploration and exploitation), from the Management field, and Innovation Diffusion Theory (IDT) from the Sociology field. This study has the objective to measure and explain the Stage Level of ICT/IS initiatives in organizations and their influence in organizational innovation (exploration and exploitation), while also moderated by the level of ‘data Analytics’ in use in Organizations. Based on quantitative methodological approach, using the statistical technique of Partial Least Squares Structural Equation Modeling (PLS-SEM), a sample of 107 respondents, representatives of organizations from Brazil and abroad, were contacted using the LinkedIn social network and participated in a survey made available online on the Internet. Findings indicate that in the growth process of UC (User Community) is where 55 organizations (51% of the sample) are worse positioned (13 organizations at the 'Stage I' level and 42 organizations at the 'Stage II' level), and the use of 'data Analytics' by organizations that are at the 'Stage IV' level in their ICT/IS activities, increases their influence on organizational innovation by 55%. Only 7.5% of the analyzed sample companies have the '6-Prescriptive' level of ‘data Analytics’ use in their structures, which occurs mostly in companies with annual revenue or budget above US$ 75 million. Implications of this research will help further understand the paradigm of stages of growth theory in the field of MIS, the dissemination of a model with academic rigor that proposes to measure the stage level of organizational ICT/IS initiatives, associated with the influence of organizational innovation and the level of ‘data Analytics’ use in organizations, clarifying aspects related to this thematic for academics and practitioners.