Leveraging and Being Leveraged by Big Data and AI: An Exploration of Tech Strategists’ Sensemaking of Human–Machine Dynamics in Strategic Decision-Making
(2021) MGTN59 20211Department of Business Administration
- Abstract
- It is amidst the digital saturation of life, globalised interconnections, and accelerated global AI market growth that we are witnessing today that new complexities and challenges emerge in strategically navigating these environments. This thesis explores the emerging dynamics of strategy and Big Data and Artificial Intelligence through a qualitative research design employing semi-structured expert interviews and conventional qualitative content analysis. The aim is to gain a deeper understanding of the perspectives of people working at the intersection of strategy and Big Data and Artificial Intelligence. Therefore, we pursue the question of How do tech strategists make sense of the dynamics of strategic thinking and BD & AI in strategic... (More)
- It is amidst the digital saturation of life, globalised interconnections, and accelerated global AI market growth that we are witnessing today that new complexities and challenges emerge in strategically navigating these environments. This thesis explores the emerging dynamics of strategy and Big Data and Artificial Intelligence through a qualitative research design employing semi-structured expert interviews and conventional qualitative content analysis. The aim is to gain a deeper understanding of the perspectives of people working at the intersection of strategy and Big Data and Artificial Intelligence. Therefore, we pursue the question of How do tech strategists make sense of the dynamics of strategic thinking and BD & AI in strategic decision-making? We argue that there is a perceived necessity for a symbiotic relationship between human strategic thinking and Artificial Intelligence. This is understood as a mutually enabling and augmenting dynamic allowing for more efficient navigation in complex system environments. Underpinning these dynamics are socio-technical logics, which construct specific fields of possibilities. These socio-technical dynamics have implications reaching beyond the confines of individual organisations. They reach the very fabric of society and, ultimately, how we continuously construct our own realities. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9069220
- author
- Wilhelmová, Veronika LU and Shin, Woo Seung LU
- supervisor
- organization
- course
- MGTN59 20211
- year
- 2021
- type
- H1 - Master's Degree (One Year)
- subject
- keywords
- Artificial Intelligence, Big Data, socio-technical imaginaries, knowledge, power, strategic thinking, strategic foresight, strategic decision-making
- language
- English
- id
- 9069220
- date added to LUP
- 2021-12-21 11:50:35
- date last changed
- 2021-12-21 11:50:35
@misc{9069220, abstract = {{It is amidst the digital saturation of life, globalised interconnections, and accelerated global AI market growth that we are witnessing today that new complexities and challenges emerge in strategically navigating these environments. This thesis explores the emerging dynamics of strategy and Big Data and Artificial Intelligence through a qualitative research design employing semi-structured expert interviews and conventional qualitative content analysis. The aim is to gain a deeper understanding of the perspectives of people working at the intersection of strategy and Big Data and Artificial Intelligence. Therefore, we pursue the question of How do tech strategists make sense of the dynamics of strategic thinking and BD & AI in strategic decision-making? We argue that there is a perceived necessity for a symbiotic relationship between human strategic thinking and Artificial Intelligence. This is understood as a mutually enabling and augmenting dynamic allowing for more efficient navigation in complex system environments. Underpinning these dynamics are socio-technical logics, which construct specific fields of possibilities. These socio-technical dynamics have implications reaching beyond the confines of individual organisations. They reach the very fabric of society and, ultimately, how we continuously construct our own realities.}}, author = {{Wilhelmová, Veronika and Shin, Woo Seung}}, language = {{eng}}, note = {{Student Paper}}, title = {{Leveraging and Being Leveraged by Big Data and AI: An Exploration of Tech Strategists’ Sensemaking of Human–Machine Dynamics in Strategic Decision-Making}}, year = {{2021}}, }