Dissertation/Thesis Abstract

A quantitative investigation of the Technology Obsolescence Model (TOM) factors that influence the decision to replace obsolete systems
by Marchek, Scott P., Ph.D., Capella University, 2015, 221; 3705716
Abstract (Summary)

The Technology Obsolescence Model (TOM) provides a framework of key factors involved in assessing influences to the decision to replace obsolete Information Technology (IT) systems. TOM focuses upon what is important and significant to the replacement decision. Formulated from well-established models in decision making and technology acceptance, TOM presents a structured interface of influence factors crossing technical, business, organizational, and interpersonal effects matched with demographic influence assessment. Survey results of questions exploring TOM are analyzed for insight into decision motivation and their influences and significance to the replacement decision. Primary questions employ both 7-point Likert scale of importance as well as ordered ranking for prioritization assessment. The survey augments quantitative material with qualitative rationale for prioritized responses. Reviewed survey response focuses on a large, multinational conglomerate organization’s IT department. Primary assessment tools include ANOVA, regression, factor, and correlation analysis. Validity and reliability are examined in detail. Assessment of responses indicates a business-centric focus of decision makers where systems obsolescence may be influential to, but not a primary causal factor for, a replacement decision. While the business and technical benefits of replacement systems are perceived by respondents as most important, statistical analysis identifies obsolescence as one of the only potential significant influencing factors. Demographic effects also demonstrated influence. Findings and recommendations for instrument improvements and continued research opportunities in additional venues, demographic modification, and longitudinal studies are identified as well.

Indexing (document details)
Advisor: Robinson Lind, Mary
Commitee: Harris, Marilyn E., Laendner, Geoffrey
School: Capella University
Department: School of Business and Technology
School Location: United States -- Minnesota
Source: DAI-B 76/10(E), Dissertation Abstracts International
Subjects: Business administration, Information Technology
Keywords: Decision, Model, Obsolescence, Replacement, Survey
Publication Number: 3705716
ISBN: 978-1-321-79047-4
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