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Analysis Of First-Time Completion In The Field Service Environment, Gavin Rick, Scott Englerth, Marc Carter, Hayley Horn
Analysis Of First-Time Completion In The Field Service Environment, Gavin Rick, Scott Englerth, Marc Carter, Hayley Horn
SMU Data Science Review
First-time completion is an important measure of service quality and efficiency in the field service industry. Customers call upon field service providers to repair their equipment in a timely manner so it can be put back into service for their business demands. Responsiveness can be measured through first-time completion and is defined as completing the repair on the first visit of a service call. This research is exploring the first-time completion in the forklift service industry. This research found the primary factors that impact first-time completion percentage in this industry include parts on hand, parts backorder process, technician experience, and …
Aspect-Based Sentiment Analysis Of Movie Reviews, Samuel Onalaja, Eric Romero, Bosang Yun
Aspect-Based Sentiment Analysis Of Movie Reviews, Samuel Onalaja, Eric Romero, Bosang Yun
SMU Data Science Review
This study investigates a comparison of classification models used to determine aspect based separated text sentiment and predict binary sentiments of movie reviews with genre and aspect specific driving factors. To gain a broader classification analysis, five machine and deep learning algorithms were compared: Logistic Regression (LR), Naive Bayes (NB), Support Vector Machine (SVM), and Recurrent Neural Network Long-Short-Term Memory (RNN LSTM). The various movie aspects that are utilized to separate the sentences are determined through aggregating aspect words from lexicon-base, supervised and unsupervised learning. The driving factors are randomly assigned to various movie aspects and their impact tied to …
Automated Analysis Of Rfps Using Natural Language Processing (Nlp) For The Technology Domain, Sterling Beason, William Hinton, Yousri A. Salamah, Jordan Salsman
Automated Analysis Of Rfps Using Natural Language Processing (Nlp) For The Technology Domain, Sterling Beason, William Hinton, Yousri A. Salamah, Jordan Salsman
SMU Data Science Review
Much progress has been made in text analysis, specifically within the statistical domain of Term Frequency (TF) and Inverse Document Frequency (IDF). However, there is much room for improvement especially within the area of discovering Emerging Trends. Emerging Trend Detection Systems (ETDS) depend on ingesting a collection of textual data and TF/IDF to identify new or up-trending topics within the Corpus. However, the tremendous rate of change and the amount of digital information presents a challenge that makes it almost impossible for a human expert to spot emerging trends without relying on an automated ETD system. Since the U.S. Government …
Toxic Comment Classification, Sara Zaheri, Jeff Leath, David Stroud
Toxic Comment Classification, Sara Zaheri, Jeff Leath, David Stroud
SMU Data Science Review
This paper presents a novel application of Natural Language Processing techniques to classify unstructured text into toxic and non- toxic categories. In the current century, social media has created many job opportunities and, at the same time, it has become a unique place for people to freely express their opinions. Meanwhile, among these users, there are some groups that are taking advantage of this framework and misuse this freedom to implement their toxic mindset (i.e. insulting, verbal sexual harassment, threads, Obscene, etc.). The 2017 Youth Risk Behavior Surveillance System (Centers for Disease Control and Prevention) estimated that 14.9% of high …
Use Advances In Data Science And Computing Power To Invest In Stock Market, Mustafa A. Sakarwala, Anthony Tanaydin
Use Advances In Data Science And Computing Power To Invest In Stock Market, Mustafa A. Sakarwala, Anthony Tanaydin
SMU Data Science Review
As part of its overseeing of capital markets, the Securities and Exchange Commission (SEC) requires firms with publicly traded shares to issue periodic reports to shareholders. These SEC filings are part of the SEC’s Electronic Data Gathering, Analysis, and Retrieval system (EDGAR), a large online database. Financial services and banking industry have armies of analysts that are dedicated to rushing over, analyzing, and attempting to quantify qualitative data from this SEC mandated reporting. We sought to prototype a predictive model to render consistent judgments on a company's prospects, based on the written textual sections of public earnings releases extracted from …
Leveraging Reviews To Improve User Experience, Anthony Schams, Iram Bakhtiar, Cristina Stanley
Leveraging Reviews To Improve User Experience, Anthony Schams, Iram Bakhtiar, Cristina Stanley
SMU Data Science Review
In this paper, we will explore and present a method of finding characteristics of a restaurant using its reviews through machine learning algorithms. We begin by building models to predict the ratings of individual reviews using text and categorical features. This is to examine the efficacy of the algorithms to the task. Both XGBoost and logistic regression will be examined. With these models, our goal is then to identify key phrases in reviews that are correlated with positive and negative experience. Our analysis makes use of review data publicly made available by Yelp. Key bigrams extracted were non-specific to the …
Yelp’S Review Filtering Algorithm, Yao Yao, Ivelin Angelov, Jack Rasmus-Vorrath, Mooyoung Lee, Daniel W. Engels
Yelp’S Review Filtering Algorithm, Yao Yao, Ivelin Angelov, Jack Rasmus-Vorrath, Mooyoung Lee, Daniel W. Engels
SMU Data Science Review
In this paper, we present an analysis of features influencing Yelp's proprietary review filtering algorithm. Classifying or misclassifying reviews as recommended or non-recommended affects average ratings, consumer decisions, and ultimately, business revenue. Our analysis involves systematically sampling and scraping Yelp restaurant reviews. Features are extracted from review metadata and engineered from metrics and scores generated using text classifiers and sentiment analysis. The coefficients of a multivariate logistic regression model were interpreted as quantifications of the relative importance of features in classifying reviews as recommended or non-recommended. The model classified review recommendations with an accuracy of 78%. We found that reviews …
The Impact Of Economic Inequality On Economic Freedom, Ryan Murphy
The Impact Of Economic Inequality On Economic Freedom, Ryan Murphy
Bridwell Institute for Economic Freedom Research
This paper tests the hypothesis that the presence of economic inequality may lead to erosions of economic freedom. Using Economic Freedom of the World as a measure of free economic institutions, it finds that a one standard deviation increase in the gini coefficient reduces the presence of free economic institutions by 0.18 standard deviations. This effect is modest but not at all trivial, and the magnitude of the effect may be especially important in increasing the size of government. Surprisingly, the evidence is mixed for the effect of inequality on regulation, with modest evidence suggesting it may improve the regulatory …
Classifying Control Variables, Michael F. Van Breda
Classifying Control Variables, Michael F. Van Breda
Historical Working Papers
Interviews with 68 managers from 20 Fortune 500 firms were used to discern control variables that managers use to control production and evaluate management performance. It was concluded that financial accounting variables tend to be the most used and as a corollary, the control variables do not serve very well in evaluating progress toward long- term goals. Discussion suggests that accounting variables are most appealing because of their appearance of validity and legitimacy.
Organization Structure And Financial Market Performance: A Preliminary Test, Richard A. Bettis, Andrew Chen
Organization Structure And Financial Market Performance: A Preliminary Test, Richard A. Bettis, Andrew Chen
Historical Working Papers
Firms in the petroleum industry adopting a multidivisional structure arestudied to observe the impact of structural change on financial performance. The outcome did not clearly show divisional structure to be a determining factor in performance. There is some suggestion that this may have a great deal to do with the vertical integration inherent in the petroleum industry.
Linking Reward Systems And Organizational Cultures, Jeffrey Kerr, John W. Slocum, Jr.
Linking Reward Systems And Organizational Cultures, Jeffrey Kerr, John W. Slocum, Jr.
Historical Working Papers
A total of 14 companies of varying size were contacted and 75 managers selected by the human resources department were interviewed to obtain data about both reward systems and the organization's culture. Variables including salaries, promotions, andrecruitment, were investigated. Results were grouped into two types of culture, the clan culture and the market culture. Both are characterized with respect to organizational environment and values.
Simplified Assessment Of Single And Multi-Attribute Utility Functions, Gary Klein, Herbert Moskowitz, Sathiadev Mahesh, A. Ravindran
Simplified Assessment Of Single And Multi-Attribute Utility Functions, Gary Klein, Herbert Moskowitz, Sathiadev Mahesh, A. Ravindran
Historical Working Papers
Two mathematical programs are presented that support the gathering and analysis of data that could be applied in a decision-making software that would more accurately portray the decision-maker's values.
Perspectives On The Management Of Diversity: A Dynamic Viewpoint, William R. Bigler, Jr.
Perspectives On The Management Of Diversity: A Dynamic Viewpoint, William R. Bigler, Jr.
Historical Working Papers
An analysis of the literature of diversification leads to the suggestion thatconsideration of the organization should come from the perspective of systems analysis and that time should specifically be included as a factor in analysis.
Efficient Data Handling And Enefficient Market Structures, Marion G. Sobol, Albert Kagan
Efficient Data Handling And Enefficient Market Structures, Marion G. Sobol, Albert Kagan
Historical Working Papers
A logical analysis is presented of the problems arising in competition against IBM which has strong monopoly-oligopoly structure in the marketplace.
Slop: A Strategic Multiple Store Location Model For A Dynamic Environment, Dale D. Achabal, Vijay Mahajan, David A. Schilling
Slop: A Strategic Multiple Store Location Model For A Dynamic Environment, Dale D. Achabal, Vijay Mahajan, David A. Schilling
Historical Working Papers
A model is provided that allows optimum choice of store location in the present and in the future. Choice of location is based on optimum location that will work with the best present scenario and the best future scenario. Basis for the model is market demand data from consumer surveys and sales performance data.
A New Wrinkle In Corporate Finance: Leveraged Preferred Financing, Andrew H. Chen, John W. Kensinger
A New Wrinkle In Corporate Finance: Leveraged Preferred Financing, Andrew H. Chen, John W. Kensinger
Historical Working Papers
Leveraged preferred financing is briefly examined as an ideal way to accrue tax advantages.
Managing For Uniqueness: Some Distinctions For Strategy, William R. Bigler, Jr.
Managing For Uniqueness: Some Distinctions For Strategy, William R. Bigler, Jr.
Historical Working Papers
Five factors that define uniqueness for a firm are reduced to three: comparative advantage, key success criteria, and strategic group factors shared by the industry. This positions the management team to analyze those factors that they can control or influence to position the firm within the framework supplied by the shared industry factors.
Small Business Bank Lending: Both Sides Are Winners, Neil C. Churchill, Virginia L. Lewis
Small Business Bank Lending: Both Sides Are Winners, Neil C. Churchill, Virginia L. Lewis
Historical Working Papers
An examination is made of the conventional wisdom that small buiness loans are riskier and consequently bear a higher interest rate than large business. Results indicte that the conventional wisdom is accurate but also that small business loans are more profitable for the bank.
Assessing The Impact Of Market Interventions On Firm's Performance, Richard A. Bettis, Andrew Chen, Vijay Mahajan
Assessing The Impact Of Market Interventions On Firm's Performance, Richard A. Bettis, Andrew Chen, Vijay Mahajan
Historical Working Papers
Using the measureable impact of the American Dental Association endoresement of Crest, the impact on security prices of Procter and Gamble is assessed. Results indicate that the market intervention has impact both on market share and security prices.
Use Of Financial Planning Languages For The Optimization Of Generated Networks For Equipment Replacement, Jay E. Aronson, Julius S. Aronofsky
Use Of Financial Planning Languages For The Optimization Of Generated Networks For Equipment Replacement, Jay E. Aronson, Julius S. Aronofsky
Historical Working Papers
This is an exploration of using a financial planning language to model problems in contrast to using a computer programming language. A demonstration is done for analyzing equipment replacement cycles.
Standards Overload And Differential Reporting, N. C. Churchill, M. F. Van Breda
Standards Overload And Differential Reporting, N. C. Churchill, M. F. Van Breda
Historical Working Papers
This paper suggests that a framework based upon distance between producers and consumers or information plus relative importance of information to local and distance groups, may be used to devise multiple but unique reporting schemes that minimize the overall burder of reporting.
Analyzing The Language Of Finance: The Case Of Assessing Risk, Gail E. Farrelly, Michael F. Van Breda
Analyzing The Language Of Finance: The Case Of Assessing Risk, Gail E. Farrelly, Michael F. Van Breda
Historical Working Papers
Analysis of the finanacial reports of the 50 largest banks and comparison with data in Value Line Investment Survey was undertaken to determine the relationship between numerical data and textual data. Conclusions report that there is a relationship and one that may be useful in at least short range prediction of actual financial returns.
Understanding Synergy: A Conceptual And Empirical Research Proposal, William R. Bigler, Jr.
Understanding Synergy: A Conceptual And Empirical Research Proposal, William R. Bigler, Jr.
Historical Working Papers
Benefits of mergers and acquisitions can be understood as the result of synergy if the concept of synergy can be defined both theoretically and practically. Synergy has value in financial, marketing, and managerial terms and seems to best be understood from discerning how subsystems within one organization benefit from integration or association with similar components from another organization.
Reaching The Changing Woman Consumer: An Experiment In Advertising, Thomas E. Barry, Mary C. Gilly, Lindley E. Doran
Reaching The Changing Woman Consumer: An Experiment In Advertising, Thomas E. Barry, Mary C. Gilly, Lindley E. Doran
Historical Working Papers
Questioning whether women can be distinguished into different market segments based on their desire to work, the authors sample women who have different demographic characteristics. Results show that the desire to work sclae can effectively segment the market. Blurring between categories may be studied to further delineate factors that can contribute to segmentation.
Firm Performance Measurement Using Trend, Cyclical, And Stochastic Components, Richard A. Bettis, Vijay Mahajan
Firm Performance Measurement Using Trend, Cyclical, And Stochastic Components, Richard A. Bettis, Vijay Mahajan
Historical Working Papers
A "trend, cyclical, stochastic" approach or TCS is proposed as a means of factoring uncertainty into the measuring a firm's performance in comparison with others in the industry. The TCS process is able to analyze trends in environmental variables as an aid to analyzing the the relationships between environment and the organization.
Analyzing Dividend Policy: A Questionnaire Survey, Richard B. Edelman, Gail E. Farrelly
Analyzing Dividend Policy: A Questionnaire Survey, Richard B. Edelman, Gail E. Farrelly
Historical Working Papers
A survey of financial executives in three industry groups to ascertain the impact of dividends on stock value. Results reveal that there is a belief dividends are important to investors despite a widespread controversy over that very question. Dividends may serve as a signaling device to investors, regardless of economic impact. Some difference in dividend policy between the utility industry and other industries suggests that industry specific information is lacking.
Bonds Issued Between Interest Dates: What Your Textbook Didn't Tell You, Elbert B. Greynolds, Jr., Arthur L. Thomas
Bonds Issued Between Interest Dates: What Your Textbook Didn't Tell You, Elbert B. Greynolds, Jr., Arthur L. Thomas
Historical Working Papers
Inconsistencies in calculating the interest that accrues to bonds due to application of straight line allocation is investigate. The authors suggest that compound interest should be appropriately calculated to avoid paradoxical outcomes.
Teaching Software System Design: An Experiential Approach, Thomas E. Perkins
Teaching Software System Design: An Experiential Approach, Thomas E. Perkins
Historical Working Papers
A curriculum approach is presented that provides students with experience incorporating user input into the software design process.
An Interactive Approach To Pension Fund Asset Management, David A. Goodman, John W. Peavy, Iii
An Interactive Approach To Pension Fund Asset Management, David A. Goodman, John W. Peavy, Iii
Historical Working Papers
Pointing to anomalies that suggest the market is not entirely efficient, a new hybrid strategy is proposed that plays on the strengths of bothsecurity analysis for undervalued securities and risk return analysis in choosing investment targets.
Diversity And Performance: The Elusive Linkage, C. K. Prahalad, Richard A. Bettis
Diversity And Performance: The Elusive Linkage, C. K. Prahalad, Richard A. Bettis
Historical Working Papers
Studing diversified firms, the key element is revealed that the mindset of management and its ability to adapt to management of a new enterprise is a key element in the success of a diversified business.