Matching Items (2)
Description
This reports investigates the general day to day problems faced by small businesses, particularly small vendors, in areas of marketing and general management. Due to lack of man power, internet availability and properly documented data, small business cannot optimize their business. The aim of the research is to address and find a solution to these problems faced, in the form of a tool which utilizes data science. The tool will have features which will aid the vendor to mine their data which they record themselves and find useful information which will benefit their businesses. Since there is lack of properly documented data, One Class Classification using Support Vector Machine (SVM) is used to build a classifying model that can return positive values for audience that is likely to respond to a marketing strategy. Market basket analysis is used to choose products from the inventory in a way that patterns are found amongst them and therefore there is a higher chance of a marketing strategy to attract audience. Also, higher selling products can be used to the vendors' advantage and lesser selling products can be paired with them to have an overall profit to the business. The tool, as envisioned, meets all the requirements that it was set out to have and can be used as a stand alone application to bring the power of data mining into the hands of a small vendor.
ContributorsSharma, Aveesha (Author) / Ghazarian, Arbi (Thesis advisor) / Gaffar, Ashraf (Committee member) / Bansal, Srividya (Committee member) / Arizona State University (Publisher)
Created2016
Description
A fundamental question in the field of strategic management is how companies achieve sustainable competitive advantage. The Market-Oriented Theory (MOT), the Resource-Based Model and their complementary perspective try to answer this fundamental question. The primary goal of this study is to lay the groundwork for Standardized Strategic Assessment Framework (SSAF). The SSAF, which consists of a set of six models, aids in the evaluation and assessment of current and future strategic positioning of Small and Medium Enterprises (SMEs). The SSAF was visualized by IDEF0, a systems engineering tool. In addition, a secondary goal is the development of models to explain relationships between a company's resources, capabilities, and competitive strategy within the SSAF. Six models are considered within the SSAF, including R&D; activities model, product innovation model, process innovation model, operational excellence model, and export performance model. Only one of them, R&D; activities model was explained in-debt and developed a model by transformational system. In the R&D; activities model, the following question drives the investigation. Do company R&D; inputs (tangible, intangible and human resources) affect R&D; activities (basic research, applied research, and experimental development)? Based on this research question, eight hypotheses were extrapolated regarding R&D; activities model. In order to analyze these hypotheses, survey questions were developed for the R&D; model. A survey was sent to academic staff and industry experts for a survey instrument validation. Based on the survey instrument validation, content validity has been established and questions, format, and scales have been improved for future research application.
ContributorsDemir, Mustafa (Author) / Waissi, Gary (Thesis advisor) / Humble, Jane (Committee member) / Polesky, Gerald (Committee member) / Arizona State University (Publisher)
Created2012