Document Type
Closed Project
Publication Date
Spring 2018
Instructor
Ramin Neshati
Course Title
Decision Making
Course Number
EMGT 530/630
Subjects
Hierarchical decision model, Application software -- Pricing -- Decision making, Decision making -- Methodology
Abstract
This study is an evaluation different pricing models available currently in app market and an assessment of a desirable pricing model among them. The significance of it comes from the fact that App market is growing over the years, very competitive and generates a large amount of revenue. Understanding the factors that leads to decision and selection of the right monetization model is a key factor for the success of the app.
Data is gathered from various sources for the evaluation and subsequent decision modelling. A Hierarchical Decision Model (HDM) is used in this study for the selection of a desirable pricing model. Key findings derived from the analysis is that the decision factors can favor an app even if it has a cost associated with it, provided it satisfies the factors that lead to that choice.
A limitation of this study is the generalization of the app categories used to evaluate the app pricing models. Different category of apps may exhibit varying relevance to some criteria used in this model and subsequently the pricing model outcome could change for some specific category of apps.
Rights
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Persistent Identifier
https://archives.pdx.edu/ds/psu/25819
Citation Details
Thomas, Binu Kamundakathil, "App Pricing Decision Using Hierarchical Decision Model (HDM)" (2018). Engineering and Technology Management Student Projects. 2237.
https://archives.pdx.edu/ds/psu/25819
Comments
This project is only available to students, staff, and faculty of Portland State University