Technology adoption in Norway : organizational assimilation of big data
Year: 2017
Type: dissertation
Study design: Observational Study
Abstract: As data permeates and drives the digital evolution, the role of Big Data becomes\nincreasingly essential. Big Data is making its presence known in almost every industry, and\nhas the potential to not only transform the business world, but society at large. Given that\ncompanies in Norway are still in the early stages of making use of Big Data, studying factors\naffecting adoption of Big Data technology in Norway is critical and timely.\nGrounded in the Diffusion of Innovation (DOI) theory, Technology Acceptance Model\n(TAM), and Technology-Organization-Environment (TOE) framework, an integrative model\nis developed for studying factors affecting adoption of Big Data technology in three\naggregated stages of assimilation; initiation, adoption-decision, and implementation. The\nmodel specifies three technological characteristics (relative advantage, complexity, and\nsecurity), three intraorganizational factors (organizational size, top management support, and\nIT expertise), and three interorganizational factors (competitive pressure, external support, and\nprivacy) as determinants of assimilation.\nThe proposed model is tested using survey data collected from 336 executives in\nmedium to large companies in Norway. Employing a multinomial logistic regression, this\nstudy finds that six predictor variables (relative advantage, complexity, security, top\nmanagement support, IT expertise, and competitive pressure) are significant and can\ndistinguish non-adopters and adopters in the assimilation stages. Of the six factors identified\nin the model, three (security, top management support, and competitive pressure) are found to\nplay a vital role in all stages of Big Data assimilation, while two factors (complexity and IT\nexpertise) are critical to the implementation and routinization of Big Data technology.\nThe results indicate that the model is suited for studying organizational adoption of Big\nData technology. Moreover, given the scarcity of research into determinants of adoption in the\nBig Data literature, the research model offers a suitable point of departure for future studies\non Big Data adoption. Finally, the findings have important implications for practitioners and\nresearchers.
Source: BIBSYS Brage (BIBSYS (Norway))
Authors: Truc Nguyen, Truls Engebretsen Petersen
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2758481182