Technological Innovations and Financial Performance: A Comprehensive Analysis of Motorola Solutions
2025 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE credits
Student thesis
Abstract [en]
This thesis examines an essential relationship between technological innovation and financial performance of Motorola Solutions as a technology enterprise. In the thick of fierce global competition and rapid technological revolution, having impactful product innovation is vital for the companies' success. This paper explores the implications of innovative technologies and R&D activities on Motorola Solutions' financial performance. The objective of this paper is to analyze how technological innovations impact financial indicators and suggest financial strategies based on the conclusions. Moreover, the paper chronologically retells the story and talks about Motorola Solutions'path that leads the communication technological development. Hence, this study tried to conclude the useful information that enables academia and practical decision-making in comparable organizations to attain enhanced understanding of the intersection between technology and financial performance.This paper looks at how technological innovation influences firm performance, while giving an intellectual explanation of theories such as Schumpeterian theory as well as Resource Based View. It deals with empirical evidence about R&D, acquisitions, capex, and patents, which are weighted with their influence on the key performance indicators. The study reveals the ever-growing strategic role of technological innovation in improving competitiveness, boosting innovations, and for attaining sustainable development goals for business enterprises. The research outcomes will pave a way for sound strategic decision making in the face of an always-changing business environment, exposing the imperative of innovation in improving firm performance.
Place, publisher, year, edition, pages
2025. , p. 48
Keywords [en]
Technological Innovation, Financial Performance, R&D, ROA (Return on Assets), Multiple Linear Regression Model
National Category
Business Administration
Identifiers
URN: urn:nbn:se:bth-27707OAI: oai:DiVA.org:bth-27707DiVA, id: diva2:1950210
Subject / course
IY2627 Master's Thesis (120 credits) in Industrial Economics and Management
Educational program
IYAIE Master’s Programme in Industrial Economics and Management
Presentation
2024-05-28, 13:15 (English)
Supervisors
Examiners
2025-04-222025-04-062025-04-22Bibliographically approved