As today’s world is becoming more digital, so is almost all business markets are becoming more and more digital and companies that choose to digitalize seem to not only increase efficiency and profitability. It also makes the company better at adapting to change. Despite these upsides, not all companies are digitalizing proven in some part by the panic among companies created by the Covid-19 pandemic. This study aims to look at if the categorist of management in companies can influence the company's ability to digitalize. This is done by measuring the dynamic capabilities and the entrepreneurial orientation in management and comparing it to the company’s digital maturity. The data was quantitatively by having managers in Sweden completes a survey. A theoretical framework is created to formulate the major theories of the study and relevant hypotheses. To analyze the collected data the multiple regression analysis method was used to see if the variables that any statistical relationship and if the variables have statistical relevance. The results showed that entrepreneurial orientation dint does not have any statistical relevance however dynamic capabilities had a statistical relevance and quite a big effect on the digital maturity of the company. However, a bigger sample for the questioner is suspected to show that entrepreneurial orientation could have had statistical relevance as the sample group for this study was quite small. This study has helpt to fill the gap in knowledge on how management characteristics affect digitalization in companies. The author of this study recommends future research teams conduct more quantitative approaches to get a better picture of how management affects digitalization, by looking at other categorists in management, the important part is that they use a bigger sample size.
Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:ltu-87268 |
Date | January 2021 |
Creators | Nilsson, Samuel |
Publisher | Luleå tekniska universitet, Institutionen för ekonomi, teknik, konst och samhälle |
Source Sets | DiVA Archive at Upsalla University |
Language | English |
Detected Language | English |
Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
Format | application/pdf |
Rights | info:eu-repo/semantics/openAccess |
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