Status : Verified
Personal Name Aggabao, Anthony Jude Hermeroll Q.
Resource Title The future technology stacks of Leopard Connectivity Business Solutions Inc.: scenario building and relevance tree analysis
Date Issued 16 March 2025
Abstract There has been an interest in implementing technologies to digitalize the business processes of Leopard Connectivity Business Solutions Inc. to improve the delivery of services leading to customer satisfaction improvements and an increase of subscribers. The study seeks to answer what methods the company must use to know the needed technologies it should implement; the possible scenarios the company may find themselves in the next five (5) years; and the type of technologies they must implement to improve their customer satisfaction and grow their current number of subscribers.

A combination of a scenario building and relevance trees analysis were used to identify the needed technologies that the company must implement. A technology stack for each scenario was then used to show the relationship between the future technologies and how they are connected to the company’s business processes. A scenario building activity was selected as it looked into future environmental trends, predictable variable, and uncertainties around the company. Scenario building provided multiple scenarios and strategies applicable to the company’s uncertain future. To help in the identification of needed technologies, a relevance trees analysis as used to break down the strategies from each scenario.

The method resulted into three (3) scenarios based on the support the company will get in their technology implementations. The scenarios resulted in future technology stacks with varying degree of automation and interconnectedness of business processes. A scenario of full automation must be aimed to greatly improve services that would improve customer satisfaction and grow the current number of subscribers.
Degree Course Master of Technology Management
Language English
Keyword Technology management, Scenario building, Relevance trees, Relevance trees analysis, Technology foresight
Material Type Thesis/Dissertation
Preliminary Pages
643.38 Kb
Category : C - Confidential information of a third-party is embedded.
 
Access Permission : Limited Access