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This article aims to improve learning on the process of unstructured data use. To develop the principal objective this study explores the relationship between big data (Volume, Velocity, Variety, Veracity and Value) and the DIKW pyramid (Data, Information, Knowledge, Wisdom). This article related two theoretical bases (Big Data and DIKW pyramid) to improve the learning on unstructured data. The reseach propositions are: The toughest aspects of unstructured data are data capture and data treatment; The knowledge generation using unstructured data depends of preliminary tacit knowledge. A multiple case study methodology was used to develop the article. A guide research was developed to investigate the research propositions in two companies. The article improve learning on the process of unstructured data. A multiple case study confirm the research propositions: The toughest aspects of unstructured data are data capture and data treatment; The knowledge generation using unstructured data depends of preliminary tacit knowledge. This article contribute improving the knowledge on unstrutured data use. Through two case study the reseach propositions were confirmed: Capture and data treatment are the toughest aspect and the knowledge Generation depends of preliminar tacit knowledge. This article explore two case study to identify through aspects of unstructured data use and a dependecy of tacit knowledge. The factors identified helps to learn about unstructured data use and identify factors that must be considered in knowledge management.

The aim of this paper is to verify the relationship between Critical Success Factors and Strategic Alignment between the IT and Shopper Marketing areas in companies from consumer goods industry that enables the implementation of strategic technologies for knowledge creation of the shopper. The work contributes to the literature with another study that focuses on the analysis of Critical Success Factors regarding the Strategic Alignment between IT and a still new area and with few works produced: Shopper Marketing. The methodology consists of a qualitative approach, through an exploratory research, based on developed works by Pignanelli and Laurindo ( 2019), focusing on the study method of case, in which the phenomena can be evidenced and questions of the type "how" answered in line with studies by Yin (2015). The main results relate to which Critical Success Factors are identified from the factors that are enablers, inhibitors and/or neutral from works by Luftman, Papp and Brier (1999) and how critical factors impact Strategic Alignment between the IT and Shopper Marketing areas. The work contributes to the theory about the research line on Strategic Alignment between business and IT areas, as well as applies an exploratory qualitative research method that can be used in future research and in case studies in others industry companies. Social and management contributions are in the possibility of enhancing the strategic alignment between IT and Shopper Marketing in innovative projects that use state-of-the-art technologies to map the shopper's profile, showing the interesting factors that the two administrations can develop to succeed in these projects.

this paper expects to point out through literature review some IT enabling factors that allow the conception of a new industry design (or governance) specifically in the financial industry illustrated by the cases of the Open Banking and Digital Economy Encourages literature on the field. This paper is structured mostly on literature review, accompanied by results, discussions, and finally, conclusions are presented. It was found five potential enabling factors. The fourth industrial revolution promotes the integration of Information Technology (IT) and strategic resources. New IT demands and uses have been leading to changes in business processes and corporate governance. Better understanding of the IT enabling factors in the cashless economy.

This study aims to improve the definition of HR Analytics as a way to direct a taxonomy linked to the managerial implications of the activity in organizations. HR Analytics has been a growing focus of works with objectives linked to (i) Human Resources Management subsystems and (ii) propositions of frameworks for structuring the theme. However, the literature indicates that there are difficulties in administering the activity and little distinction about resources and activities related to these objectives. Based on a bibliometric survey of publications on the subject in the Scopus database in the last 10 years, characteristics of interest were identified and an analysis was carried out under the perspective of Systems Theory. The analysis allowed to identify different objectives for HR Analytics, which, managerially, means the mobilization of different resources, components and forms of administration and, academically, distinct definitions and boundaries with adjacent themes. The application of Systems Theory to differentiate the objectives of HR Analytics seems to point out that the evolution of the understanding of the subject is linked to the differentiation of the administration of resources and components according to the intended objectives. Based on the results of this research, proposals for frameworks for HR Analytics can be better directed from the point of view of processes and human and technological resources to be mobilized.