Description
While a fairly new concept, Internet of Things (IoT) has become an important part of the business structure and operating segments of many technology companies in the last decade. IoT refers to the evolution of devices that, connected to the internet, can share and integrate information, becoming an always-growing intelligent system of systems. As a leader in the semiconductor industry, Company X and its growing IoT division, have constant new challenges and opportunities given the complexity of the IoT field. The business model employed by the IoT division includes adopting and modifying existing technologies and products from its sister groups within Company X. Since these products are being leveraged by the IoT division, it makes indirect research and development allocation for said products much more complex. This thesis will address how the IoT division at Company X can approach this problem in the most beneficial way for the division and company as a whole through the analysis of two allocation methodologies: percentage of revenue (Allocation Basis 1) and percentage of direct research and development (Allocation Basis 2).
Details
Title
- IoT Allocation Methodology: Allocation Methodology for Indirect Research and Development Costs for Internet of Things Products
Contributors
- Stanek, Christopher (Author)
- Jerez Casillas, Diana (Co-author)
- Abang, Joycelyn (Co-author)
- Simonson, Mark (Thesis director)
- Hertzel, Michael (Committee member)
- Barrett, The Honors College (Contributor)
- Department of Finance (Contributor)
- Department of Supply Chain Management (Contributor)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2022-05
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