Unlocking Organizational Potential: Harnessing AI literacy for Dynamic Capabilities through sensing, seizing and reconfiguring initiatives in IT firms.
Malik, Shah Alam (2023)
2023
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2023112832183
https://urn.fi/URN:NBN:fi:amk-2023112832183
Tiivistelmä
The purpose of the research is to examine and understand how developing artificial intelligence (AI) literacy across an organization can enhance its Dynamic Capabilities (DC). DC refer to the ability to continuously sense external opportunities and threats, mobilize internal resources to seize openings, and reconfigure strategies and assets accordingly to maintain competitiveness. The research argues that purposefully cultivating workforce skills, knowledge, and competencies related to AI technologies and applications fundamentally strengthens these organizational sensing, seizing, and transforming abilities.
The key objective of the research is to explore the current distribution and maturity of AI literacy across companies, analyze its impact on shaping sensing, seizing, and reconfiguring capabilities, evaluate effectiveness of various AI literacy adoption initiatives, and identify factors that mediate the relationship between AI literacy and DC.
The qualitative research strategy involved semi-structured interviews with 5 IT professionals and leaders from organizations at various AI adoption stages. The interviews were conducted in October-November 2023.
The focus was on understanding their strategies and experiences in building AI literacy to enhance DC. The theoretical framework draws from DC theory and the resource-based view of strategic management, emphasizing the role of valuable, rare, and inimitable resources like AI literacy in strengthening organizational competitiveness when effectively deployed.
The result shows that organizations with high AI literacy display increased dynamism, agility, and innovation in tracking AI advancements and integrating AI into processes. Proactive training, digital platforms, internal networks, and tech partnerships spread AI literacy. Leadership commitment and adaptability influence how AI literacy enhances innovation. The research highlights how purposeful AI literacy development boosts DC for continuous competition, offering insights into strategic AI assimilation for unlocking organizational potential in the digital era.
The key objective of the research is to explore the current distribution and maturity of AI literacy across companies, analyze its impact on shaping sensing, seizing, and reconfiguring capabilities, evaluate effectiveness of various AI literacy adoption initiatives, and identify factors that mediate the relationship between AI literacy and DC.
The qualitative research strategy involved semi-structured interviews with 5 IT professionals and leaders from organizations at various AI adoption stages. The interviews were conducted in October-November 2023.
The focus was on understanding their strategies and experiences in building AI literacy to enhance DC. The theoretical framework draws from DC theory and the resource-based view of strategic management, emphasizing the role of valuable, rare, and inimitable resources like AI literacy in strengthening organizational competitiveness when effectively deployed.
The result shows that organizations with high AI literacy display increased dynamism, agility, and innovation in tracking AI advancements and integrating AI into processes. Proactive training, digital platforms, internal networks, and tech partnerships spread AI literacy. Leadership commitment and adaptability influence how AI literacy enhances innovation. The research highlights how purposeful AI literacy development boosts DC for continuous competition, offering insights into strategic AI assimilation for unlocking organizational potential in the digital era.