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Business Analytics Programs In Business School: What Can Marketing Do?, Yanbin Tu 2020 Robert Morris University

Business Analytics Programs In Business School: What Can Marketing Do?, Yanbin Tu

Atlantic Marketing Association Proceedings

No abstract provided.


Social Media And University Enrollment: Can Social Media Be Used To Raise Awareness Of University Programs?, Hannah Nicole Starnes, Kelly Green Atkins 2020 East Tennessee State University

Social Media And University Enrollment: Can Social Media Be Used To Raise Awareness Of University Programs?, Hannah Nicole Starnes, Kelly Green Atkins

Atlantic Marketing Association Proceedings

No abstract provided.


Financial Technology Usage 2017 Predictive Analytics Study, Alan D. Smith 2020 Kennesaw State University

Financial Technology Usage 2017 Predictive Analytics Study, Alan D. Smith

Atlantic Marketing Association Proceedings

No abstract provided.


Session 12 - Finance: Bias In, Bias Out? How To Fight Biases In Ai And Create Trust, Gerald Fahner 2020 FICO

Session 12 - Finance: Bias In, Bias Out? How To Fight Biases In Ai And Create Trust, Gerald Fahner

SDSU Data Science Symposium

Alarming headlines appear at an increasing rate about ‘biased AI’ leading to nontransparent decisions, discrimination and lack of trust.

Newcomers to AI application development are confronted with (and often struggle with) multiple traps that can inadvertently lead to biased and unreasonable automated decisions. By comparison, credit score developers have decades of experience in the “art and science” of mitigating biases through transparent and credible models and decisions that provide benefits to all stakeholders while complying with fair lending regulations.

In this presentation you will learn about traps to be avoided and get our unique perspective on how to achieve comprehension ...


A Comparative Study Of Machine Learning Approaches For Human Activity Recognition, Loknath Ambati, Omar El-Gayar 2020 Dakota State University

A Comparative Study Of Machine Learning Approaches For Human Activity Recognition, Loknath Ambati, Omar El-Gayar

SDSU Data Science Symposium

The goal of this project is to study the performance of Machine Learning (ML) techniques used in Human Activity Recognition (HAR). Specifically, we aim to 1) evaluate and benchmark the performance of various ML techniques used for HAR against established ML performance metrics using multiple datasets, and 2) map the characteristics of various HAR datasets to appropriate ML techniques. From a theoretical perspective, the research will shed light into the strengths and weaknesses of various ML techniques that can provide insights into future research aimed at improving these techniques for HAR. From a practical perspective, the research provides guidance into ...


Idea Co-Creation On Social Media Platforms: Towards A Theory Of Social Ideation, Pratyush Bharati, Kui Du, Abhijit Chaudhury, Narendra M. Agrawal 2020 Bryant University

Idea Co-Creation On Social Media Platforms: Towards A Theory Of Social Ideation, Pratyush Bharati, Kui Du, Abhijit Chaudhury, Narendra M. Agrawal

Computer Information Systems Journal Articles

Innovation scholars have long been discussing social media as a rich source of information, knowledge, and new ideas, yet, whether or how social media can directly intervene with organizational ideation processes remains unclear. In this study, we investigate the impact of external and enterprise social media platforms on organizational ideation. Grounded in seventy-nine cases and adapting social capital theory in social media contexts, this study attempts to develop a theory of social ideation. Social ideation consists of social media-enabled mechanisms that generate social capital, enable multi-level social exchanges, foster idea co-creation activities such as idea sourcing, filtering, elaboration, and integration ...


Leveraging Legal Analytics And Spend Data As A Law Firm Self-Governance Tool, Nancy B. Rapoport, Joseph R. Tiano Jr. 2020 Pepperdine University

Leveraging Legal Analytics And Spend Data As A Law Firm Self-Governance Tool, Nancy B. Rapoport, Joseph R. Tiano Jr.

The Journal of Business, Entrepreneurship & the Law

Our essay has five parts: (i) a discussion of how external forces are reshaping the economics of today’s legal industry; (ii) examples of the types of decisions that tend to drive up the cost of bills in contravention of ethical duties; (iii) a discussion of possible reasons for those decisions (including a short discussion of social science explanations); (iv) a description of how attorneys can use data analytics tools to self-govern how they staff, deliver and bill for their legal services; and (v) recommendations for how both clients and law firms can benefit from proactively managing, on the front ...


Measuring And Unpacking Affective Polarization On Twitter: The Role Of Party And Gender In The 2018 Senate Races, Kevin Mentzer, Kate Fallon, Janet Prichard, David Yates 2020 Bryant University

Measuring And Unpacking Affective Polarization On Twitter: The Role Of Party And Gender In The 2018 Senate Races, Kevin Mentzer, Kate Fallon, Janet Prichard, David Yates

Computer Information Systems Journal Articles

This study examines how the Twittersphere talked about candidates running for the U.S senate in the 2018 congressional elections. We classify Twitter users as Liberal or Conservative to better understand how the two groups use social media during a major national political election. Using tweet sentiment, we assess how the Twittersphere felt about in-group party versus out-group party candidates. When we further break these findings down based on the candidates’ gender, we find that male senatorial candidates were talked about more positively than female candidates. We also find that Conservatives talked more positively about female Republican candidates than they ...


Análisis De La Gestión De Dos Productores De Panela En La Palma Cundinamarca Que No Hacen Uso De Sistemas De Información De Marketing, Laura Alejandra González Melo 2020 Universidad de La Salle, Bogotá

Análisis De La Gestión De Dos Productores De Panela En La Palma Cundinamarca Que No Hacen Uso De Sistemas De Información De Marketing, Laura Alejandra González Melo

Administración de Empresas

Después de realizar esta investigación, se puede concluir que el sector agropecuario en Colombia tiene mucho potencial y este aún necesita ser explotado. Tenemos una amplia capacidad de productores del sector agropecuario del país, que no están siendo aprovechados de la manera en que se podría hacer. El sistema de información de marketing nos brinda la oportunidad de conocer y controlar con sus tres principales enfoques a nuestros clientes y sus preferencias, a nuestros competidores y los avances en el mercado, así como, a las situaciones de marketing que un sector está enfrentando. Esta herramienta nos permite abarcar de una ...


Identifying At-Risk Clients For Xyz Packaging, Co., Eduardo Carlos Cantu Medellin, Mihir Parikh, Christopher Graves, Brendon Jones 2019 Southern Methodist University

Identifying At-Risk Clients For Xyz Packaging, Co., Eduardo Carlos Cantu Medellin, Mihir Parikh, Christopher Graves, Brendon Jones

SMU Data Science Review

We present a multi-algorithmic modeling approach for the identification of at-risk customers for XYZ Packaging Inc. We define at-risk customers as those having declining seasonally adjusted gross income forecasts which are a strong indicator of impending customer churn. Customer retention is an area of interest regardless of industry but is especially vital in commodity-based low margin industries. We employ traditional Autoregressive Integrated Moving Average (ARIMA) and Anomaly Detection algorithms for discriminating changes in customer revenue patterns. Ultimately, we identify a meaningful proportion of clients whose forward-looking quarterly demand can be predicted within an actionable degree of accuracy.


Feasibility Of Collaborative Alliance Association For Non-Competitive Small Business Contractors, Brody Allen Gill 2019 California Polytechnic State University, San Luis Obispo

Feasibility Of Collaborative Alliance Association For Non-Competitive Small Business Contractors, Brody Allen Gill

Construction Management

Small business construction contracting firms around the country struggle with growing their business successfully. This is a result of unknown results from new business practices and few resources to initiate programs that can improve productivity and efficiency. A simple solution could give small business construction contractors the opportunity to share ideas, compare company analytics and promote professional networking in a non-competitive, collaborative alliance. The goal of this project is to determine if a collaborative alliance association using data benchmarking would be an effective solution for non-competitive small business contractors to grow their businesses. Thereafter being proven effective, is such an ...


B-Line Sustainable Urban Delivery: Can Last-Mile Bicycle Delivery Survive The E-Commerce Minefield?, Madeleine Pullman, Jacen Greene, Wanying Shi, Stephan Kaplan 2019 Portland State University

B-Line Sustainable Urban Delivery: Can Last-Mile Bicycle Delivery Survive The E-Commerce Minefield?, Madeleine Pullman, Jacen Greene, Wanying Shi, Stephan Kaplan

Business Faculty Publications and Presentations

As the population of cities in the western United States continues to boom, the demand for retail and wholesale food has followed suit. To deal with the accompanying increase in traffic and congestion from population and business growth, the city of Portland planned to increase bikeways and reduce the use of single-occupant vehicles to less than 30% of total commuters by 2026. Despite efforts to decrease dependence on vehicles, traffic congestion in Portland
continued to increase, and traditional vehicle delivery in the urban area became less and less efficient. As ride-sharing services and online retailers increased their presence in the ...


How Your I-O Psychology Training Has Prepared You Handle The Big, Complex, And Scary World Of Data Analytics, Shawn M. Bergman 2019 Appalachian State University

How Your I-O Psychology Training Has Prepared You Handle The Big, Complex, And Scary World Of Data Analytics, Shawn M. Bergman

River Cities Industrial and Organizational Psychology Conference

Organizations, looking for new ways to collect and harness big data, are scouring the Internet in search of untapped outlets of information about job applicants and are using analytics on their internal big data generated by internal HRIS and processes. Despite being experts in organizational systems, quantitative and research methodologies, human behavior, and organizational change, human resource professionals are often intimidated by big data and analytics and are left out of critical analytic business planning, implementation, and evaluation conversations. While it is undeniable that technology has the capability to enhance human resource decision-making, the strong emphasis on technology also highlights ...


Faculty-Library Collaboration To Enhance Ug Research And Information Literacy Skills, Hulya Julie Yazici, Regina Beard 2019 Florida Gulf Coast University

Faculty-Library Collaboration To Enhance Ug Research And Information Literacy Skills, Hulya Julie Yazici, Regina Beard

Florida Statewide Symposium: Best Practices in Undergraduate Research

This presentation describes faculty-Library collaboration efforts to enhance research and information literacy skills of our undergraduate students. An example of collaboration between business Faculty and Library Coordinator to facilitate research problem and data finding is presented with Canvas demonstration. The structured methodology is presented with implications on the experiential learning efforts. Additional examples from Library to improve information literacy and writing skills to enhance UG research are demonstrated


A Dynamic Stochastic Frontier Model With Threshold Effects: U.S. Bank Size And Efficiency, Pavlos Almanidis, Mustafa U. Karakaplan, Levent Kutlu 2019 Ernst & Young LLP

A Dynamic Stochastic Frontier Model With Threshold Effects: U.S. Bank Size And Efficiency, Pavlos Almanidis, Mustafa U. Karakaplan, Levent Kutlu

Economics and Finance Faculty Publications and Presentations

Common/Single frontier methodologies that are used to analyze bank efficiency and performance can be misleading because of the homogeneous technology assumption. Using the U.S. banking data over 1984-2010, our dynamic methodology identifies a few data-driven thresholds and distinct size groups. Under common frontier assumption, the largest banks appear to be 22% less efficient on average than how they are in our model. Also, in the common frontier model, smaller banks seem to be relatively more efficient compared to their larger counterparts. Hence, common policies or regulations may not be well-balanced about controlling the banks of different sizes on ...


A Data Mining Approach To Building A Predictive Model Of Low-Cost Carriers' Presence In The U.S. Domestic Routes, Canh Nguyen, John E. Deaton, Nurettin Dinler 2019 Florida Institute of Technology

A Data Mining Approach To Building A Predictive Model Of Low-Cost Carriers' Presence In The U.S. Domestic Routes, Canh Nguyen, John E. Deaton, Nurettin Dinler

International Journal of Aviation, Aeronautics, and Aerospace

The purpose of the study was to build the predictive model of the presence of U.S. low-cost carriers (LCCs) in the domestic network structure. SEMMA (Sample, Explore, Modify, Model, and Assess) schematic in data mining was followed and employed as the primary methodological procedure. Data in the period of 1Q2016-1Q2018 were extracted from the Bureau of Transportation Statistics (DB1B database) and reconstructed to form predictors. Stepwise logistic regression showed a significant predictive performance compared to decision tree technique in terms of fitting measures, which was then used as the concluding model. Significant predictors included: (1) Market concentration positively related ...


Diversity And The Future Of Work: Examining The Future Workplace Through A Generational Lens, Gordon Haley, Thomas G. Henkel 2019 Embry-Riddle Aeronautical University

Diversity And The Future Of Work: Examining The Future Workplace Through A Generational Lens, Gordon Haley, Thomas G. Henkel

Publications

  • Talent management is a critical consideration for organizations in the increasingly uncertain and competitive business environment
  • Human Resource Management is critical to the success of any organization operating in the current service and knowledge economies
  • Ignoring generational differences can lead to an ineffective organization


Big-Data Talent Analytics In The Public Sector: A Promotion And Firing Model Of Employees At Federal Agencies, Rabih Neouchi 2019 Southern Methodist University

Big-Data Talent Analytics In The Public Sector: A Promotion And Firing Model Of Employees At Federal Agencies, Rabih Neouchi

Engineering Management, Information, and Systems Research Theses and Dissertations

Talent analytics is a relatively new area of focus to researchers working in analytics and data science. Talent Analytics has the potential to help companies make many informed critical decisions around talent acquisition, promotion and retention. This work investigates data science to predict “shiny star” employees in the U.S. public sector, defined as top-notch performers over the years of a given time span. Its scope falls within talent analytics, also called people analytics, a relatively new research area.

We clean a data set made available by the U.S. Office of Personnel Management (OPM) and present two models to ...


What Do Publicly-Available Soccer Match Data Actually Tell Us?, Chester S. Labedz Jr., Robert Schumaker 2019 Central CT State University

What Do Publicly-Available Soccer Match Data Actually Tell Us?, Chester S. Labedz Jr., Robert Schumaker

Communications of the IIMA

Media analyses of soccer statistics and game play has accelerated in recent years. This is evident in visual displays of ball and player tracking, average player locations and distances they run. These media depictions aim to be attractive, entertaining and informative for viewers. But are such statistics predictive of goal scoring and match outcome? To answer this question we review the sixty-four matches of the 2014 World Cup and examine nine common match statistics, and others, to evaluate their predictive value for goal production and match outcome.


Nebraska Monthly Economic Indicators: September 25, 2019, Eric Thompson 2019 University of Nebraska - Lincoln

Nebraska Monthly Economic Indicators: September 25, 2019, Eric Thompson

Leading Economic Indicator Reports

The Leading Economic Indicator – Nebraska (LEI-N) 1 fell by 1.89% during August of 2019. The drop in the LEI-N, which is designed to predict economic activity six months into the future, follows a sharp 2.51% increase during July. Taken together, results from the two months imply modest economic growth in Nebraska at the end of 2019 and the beginning of 2020. The leading indicator fell primarily due to a an increase in initial claims for unemployment insurance and a sharp increase in the value of the U.S. dollar. A rising dollar creates challenges for Nebraska busineses which ...


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