The possibility of developing a better understanding of complex IS-related organizational processes based on the analysis of rich data has enticed me to apply qualitative and quantitative research methods in the projects I have led in my career. Since 2003, I have employed case study techniques to investigate the adoption of a variety of information technologies in different types of organizations, the development of complementary IT and organizational resources and capabilities during and after the implementation of IT solutions, and the dynamics of innovation processes. Recently, I have investigated the implementation of a BPM system in a non-profit organization, the adoption of a BI system in a large government bank, the post-implementation phase of ERP projects in an IT services provider and a clothing retailer, and the innovation processes of micro and small software companies.
In parallel with the abovementioned efforts, I have also conducted several related quantitative research projects in which I developed and statistically tested causal models. At the individual level of analysis, I have conducted studies on the effective use of information systems and its antecedents and consequences. In my early investigations, I addressed mostly ERP implementation initiatives. Lately, I have focused on students’ use of computer-based learning technologies and related motivational and attitudinal outcomes. The most recent result in this line of research is a paper published in the British Journal of Educational Technology.
My organizational level research projects have drawn on the Resource-Based View, the Knowledge-Based View, and Dynamic Capabilities Theory. They include studies on business-IT alignment, the effects of complementary IS and organizational resources and capabilities on alignment and organizational performance, and the antecedents of innovativeness and competitiveness in small and medium software development companies. Since 2012, my research project on the latter topic has been awarded three grants from the Brazilian government. These grants have supported the development and implementation of an automated benchmarking tool that allows software developers to compare several aspects of their organizations (e.g., IT infrastructure and skills, managerial competencies, and innovativeness), as well as business performance over time.
In the near future, I intend to deepen my investigation on how organizations can extract value from their investments in information systems, and specifically address the technical, social and individual factors that influence knowledge acquisition, transformation, and exploitation in innovation processes. For instance, by extending the benchmarking tool and translating its interface to other languages, I should be able to engage colleagues in different countries and collect data on software development companies that are embedded in distinct institutional, cultural and business settings. In addition, the conceptual model developed in my previous research projects can be easily extended to other industries that are marked by frequent transformations (e.g., biotechnology, financial services, etc.). Studies in this line of investigation will employ advanced statistical analysis techniques, such as multilevel structural equation modeling.
As a final point, I should highlight that the interdisciplinary nature of the issues I have investigated, as well as my interest and skills in advanced quantitative research methods, have allowed me to develop strong collaboration ties with colleagues from other fields. These partnerships have led to co-authored publications on leadership and employee behavior in outlets such as The Leadership Quarterly, Procedia Computer Science, and Brazilian Administration Review. I cherish opportunities to join multidisciplinary project teams and will continue to pursue them in the future.