Name: LETÍCIA DE SOUSA MILHOMEM
Publication date: 26/09/2018
Advisor:
Name |
Role |
|---|---|
| MARCOS PAULO VALADARES DE OLIVEIRA | Advisor * |
Examining board:
| Name |
Role |
|---|---|
| HÉLIO ZANQUETTO FILHO | Internal Examiner * |
| MARCELO MOLL BRANDÃO | Co advisor * |
| MARCOS PAULO VALADARES DE OLIVEIRA | Advisor * |
Summary: The current situation imposes on organizations great challenges to remain competitive and differentiate from their competitors. In this perspective the formation of organizational alliances becomes an alternative to unite assets, seek the development of technologies and the optimization of processes. This relationship between organizations, however, incurs transaction costs that directly influence the decision to initiate and maintain this relationship. Thus, the reduction of these costs, through its management, is a goal to be pursued by the organizations involved. It is assumed that the use of Business Analytics -BA generates collaborative advantage in the alliance established through the management of the transaction costs, stands out in this relation the collaborative communication and information as critical factors. In this sense, the main objective was to verify the nature of the management of transaction costs management - GCT in the relationship between BA and collaborative advantage - VC. The study was of a conclusive nature, enabling empirical verification of the relationship between the factors analyzed. This initiative serves as a basis for the development of other research aimed at deepening this relationship, as well as being an attempt to contribute to the field in BA formation. Collaborating to reflect on the critical success factors of organizational alliances beyond the widespread competitive advantage. Furthermore, from the proposed model it is possible to revisit the Transaction Costs Theory by inserting the element Information Processing, which is inseparable from the current organizational context, but which was not a reality at the time of the constitution of this theory. In order to reach the proposed objective, an online questionnaire was applied, obtaining 132 responses. After the data collection, the data were analyzed through the technique of confirmatory data analysis using the software SmartPLS® 3 and the hypothesis test using the PROCESS algorithm (structural model nº 4 and structural model nº 1) of the software Statistical package for the social sciences (SPSS). The results indicate that CGT mediates the relationship between BA and VC. In general, the model tested was able to explain 34.40% of the variation in CGT and 69.30% of the variation in CGT. Keywords:
