Accelerating Digital Transformations
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Journal Title
Journal ISSN
Volume Title
Perustieteiden korkeakoulu |
Master's thesis
Authors
Date
2021-08-25
Department
Major/Subject
International Design Business Management
Mcode
SCI3062
Degree programme
Master’s Degree Programme in International Design Business Management (IDBM)
Language
en
Pages
54
Series
Abstract
Digital transformations happening and planned across businesses are the key to unlock the digital potential across the globe. According to (Jacques Bughin et al., 2016), there is a lot of digital potential yet to be realized across the globe. For example, Europe has realized only 12% of its digital potential. Europe’s economy is experiencing the early impact of digitization, with some correlation between productivity growth and digital intensity across sectors. The impact on the labor market is mixed with widespread dislocation of workers but a proliferation of digital tools that offer new ways of working, matching skills, and acquiring skills. Another important fact stated by (Rogers, 2016) is that 84% of digital transformations fail. While there are various reasons for this, in this study, we examine the different digital transformation cases and arrive at a list of dos and don’ts, which will help organizations increase the success chances of their digital transformation and at the same time help them in accelerating the benefits expected from these transformations. As part of this work, we interviewed industry experts and practitioners who are playing a pivotal role in their organization’s transformation journey to gather key practical insights from both the macro and micro lens of digital transformation. Some of the key findings in this study underlines the importance of having a clear strategy and end to end vision, in order to succeed in digital transformations. The study also highlights that these initiatives must be people centric in order to have better adoption and better success. All the findings from the study are analyzed using scientific methods explained later in the document and conclusions are inferred through established and well know scientific methods.Description
Supervisor
Vartiainen, MattiThesis advisor
Cherian, BenuKeywords
digital transformations, challenges, proposals, qualitative analysis