Determinants of technological innovation adoption in organizations - An Exploratory Study on the Example of Data Analytics"
Year: 2018
Type: dissertation
Abstract: This master thesis investigates the specific determinants of technological innovation adoption on the example of data analytics by having three angles, namely the supplier, adopter and non-adopter perspective. By comparing two complementary innovation adoption frameworks with the empirical outcomes of technological innovation adoption, this thesis develops a new framework based on the findings. As there is little academic literature surrounding the topic of data analytics adoption in organizations, an inductive qualitative and exploratory design is conducted. The procedure of content analysis comprised two rounds of coding. In the discussion, five propositions are derived; To increase the likelihood of a technological innovation adoption, an internal, operational need of an organization; high levels of problem-solving thinking; short-term success stories; an independent digital unit as well as marketing activities of suppliers are required. Further quantitative research needs to be conducted to test the propositions as well as build potential theories.
Author: Max Jacobi
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2942581085