TY - GEN
T1 - Management of Disruptive Technologies as Applied in Stages of Long-term Insurance Processes
AU - Moloi, Thabo
AU - Mulaba-Bafubiandi, Antoine F.
N1 - Publisher Copyright:
© 2024 PICMET.
PY - 2024
Y1 - 2024
N2 - The long-term insurance industry is undergoing a transformative shift driven by disruptive technologies, presenting both challenges and opportunities for insurers. This paper explores the strategic management of disruptive technologies within the value chain stages of long-term insurance processes. The study investigates how an insurer effectively navigated this dynamic landscape to enhance operational efficiency, customer engagement, and overall competitiveness. The paper delves into the identification and categorization of disruptive technologies affecting various stages of the long-term insurance value chain, including product development, underwriting, policy administration, claims processing, and customer service. Drawing on a case study from a South African perspective, it provides a comprehensive analysis of how emerging technologies such as big data analytics, websites, social networks, digital platforms, robo-advice, application programme interface (API), robotic process automation (RPA), chatbots, voice recognition, artificial intelligence (AI), blockchain, telematics, and InsurTech solutions impact stages of the value chain. Furthermore, the paper outlines a strategic framework for insurers to proactively integrate and manage disruptive technologies into their existing processes. It emphasizes the importance of fostering a culture of innovation, establishing agile organizational structures, and nurturing cross-functional collaboration to swiftly adapt to technological advancements. The study explores potential challenges associated with the integration of disruptive technologies, such as data security concerns, regulatory compliance, and the need for upskilling the workforce. It offers insights into mitigating these challenges through robust risk management strategies, regulatory compliance frameworks, and targeted workforce development initiatives. In conclusion, the study provides a roadmap for long-term insurers to not only survive but thrive amidst the disruptions caused by emerging technologies. It encourages a forward-thinking approach to technology adoption, positioning disruptive innovations as enablers of growth and sustainable competitive advantage in the rapidly evolving landscape of long-term insurance.
AB - The long-term insurance industry is undergoing a transformative shift driven by disruptive technologies, presenting both challenges and opportunities for insurers. This paper explores the strategic management of disruptive technologies within the value chain stages of long-term insurance processes. The study investigates how an insurer effectively navigated this dynamic landscape to enhance operational efficiency, customer engagement, and overall competitiveness. The paper delves into the identification and categorization of disruptive technologies affecting various stages of the long-term insurance value chain, including product development, underwriting, policy administration, claims processing, and customer service. Drawing on a case study from a South African perspective, it provides a comprehensive analysis of how emerging technologies such as big data analytics, websites, social networks, digital platforms, robo-advice, application programme interface (API), robotic process automation (RPA), chatbots, voice recognition, artificial intelligence (AI), blockchain, telematics, and InsurTech solutions impact stages of the value chain. Furthermore, the paper outlines a strategic framework for insurers to proactively integrate and manage disruptive technologies into their existing processes. It emphasizes the importance of fostering a culture of innovation, establishing agile organizational structures, and nurturing cross-functional collaboration to swiftly adapt to technological advancements. The study explores potential challenges associated with the integration of disruptive technologies, such as data security concerns, regulatory compliance, and the need for upskilling the workforce. It offers insights into mitigating these challenges through robust risk management strategies, regulatory compliance frameworks, and targeted workforce development initiatives. In conclusion, the study provides a roadmap for long-term insurers to not only survive but thrive amidst the disruptions caused by emerging technologies. It encourages a forward-thinking approach to technology adoption, positioning disruptive innovations as enablers of growth and sustainable competitive advantage in the rapidly evolving landscape of long-term insurance.
UR - http://www.scopus.com/inward/record.url?scp=85204390878&partnerID=8YFLogxK
U2 - 10.23919/PICMET64035.2024.10653296
DO - 10.23919/PICMET64035.2024.10653296
M3 - Conference contribution
AN - SCOPUS:85204390878
T3 - PICMET 2024 - 2024 Portland International Conference on Management of Engineering and Technology: Technology Management in the Artificial Intelligence Era, Proceedings
BT - PICMET 2024 - 2024 Portland International Conference on Management of Engineering and Technology
A2 - Kocaoglu, Dundar F.
A2 - Anderson, Timothy R.
A2 - Kozanoglu, Dilek Cetindamar
A2 - Niwa, Kiyoshi
A2 - Steenhuis, Harm-Jan
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 Portland International Conference on Management of Engineering and Technology, PICMET 2024
Y2 - 4 August 2024 through 8 August 2024
ER -