Business Analytics Commons^™

Post-Brexit Implications On Irish Freight Transport And Logistics Sector, Amr Mahfouz, John Crowe, Rishi Choudhary, Jennifer Floody, Aly Owida Dr, Declan Allan

Technical Reports/Case Studies

The study quantifies the impact that new custom checks and Agri/SPS inspection procedures could have on agri-food supply chains. It is possible that these checks will be introduced at both EU27 and UK ports. The analysis shows the potential risks to the Irish agri-food supply chain. These risks are explained through a range of non-tariff barriers and Ireland/EU transport connectivity scenarios. There is potential for disruption in the long-established transportation routes between Ireland, the UK and Continental European markets. Direct shipping routes (i.e. links directly between Ireland and the EU26) have therefore been considered in this case. This consideration comes …

Shift-Share Analysis, Appalachian Counties, Randall Jackson, Péter Járosi

Shift Share Analyses

In County-level CIE Supply Chain Analysis, the second of five p a rts o f A n E c onomic A n alysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia. These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those …

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

Information Systems and Analytics Department Faculty 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 did …

Tufts Analytics Without Borders 2020 Conference Conference Summary Report, Tufts University

Analytics Without Borders

This conference provided a single venue for interdisciplinary research, collaboration, and communication on applied data analytics in the fields of business, public health, nutrition, and the environment. We advanced a shared agenda to harness the power of data sciences to discuss the complexities of health and nutrition problems through the lens of data sciences. The conference showcased numerous opportunities for students including hands-on workshops on topics related to data sciences, panel discussions on topics ranging from business to health, and both oral and poster presentations for sharing research.

2019-2020 Morehead State University Audit Report, Morehead State University. Accounting And Financial Services Office.

Morehead State University Audit Reports

2019-2020 Audit Report for Morehead State University.

The Tragedy And Reliability Of Zambian Trade Data, Dale Mudenda, Maio Bulawayo, Manenga Ndulo

Zambia Social Science Journal

Trade is an essential engine of growth and poverty reduction. Yet trade data suffers from poor quality and inconsistencies. There are several reasons for this: trade data is collected with little coordination between the reporting agencies and the central statistical offices, inadequate resources located to the data gathering agencies undermines archival process of good data, normal statistical errors of measurement and observation, and various complexities associated with international trade such as trade misinvoicing. This study explored the poor quality and inconsistencies in Zambian trade data which might render efforts at policy formulation to boost intra-regional trade and resolve issues of …

Analysis Of Massive Online Medical Consultation Service Data To Understand Physicians’ Economic Return: Observational Data Mining Study, Jinglu Jiang, Ann-Frances Cameron, Ming Yang

Management and Accounting Faculty Scholarship

Background: Online health care consultation has become increasingly popular and is considered a potential solution to health care resource shortages and inefficient resource distribution. However, many online medical consultation platforms are struggling to attract and retain patients who are willing to pay, and health care providers on the platform have the additional challenge of standing out in a crowd of physicians who can provide comparable services. Objective: This study used machine learning (ML) approaches to mine massive service data to (1) identify the important features that are associated with patient payment, as opposed to free trial–only appointments; (2) explore the …

Employing A Visual Representation Technique To Understand Undergraduates’ Perceptions Of Civic Engagement Across Countries, Sharon Feeney, John Hogan

Articles

Purpose – This paper aims to present an interpretation of freehand drawings produced by a sample of final year degree level learners in response to the question: “What is civic engagement”? The aim in using this approach, with final year degree learners from different countries, but pursuing the same degree, was to compare and contrast their understanding of civic engagement.

Design/methodology/approach – Learners completed their drawings and then discussed their drawings in small groups. All of their drawings were initially examined quantitatively before a sample of six drawings were selected for in-depth qualitative examination.

Findings – Using learner-generated drawings enables …

Studying The Effects Of The Skewness Of Inter-Arrival And Service Times On The Probability Distribution Of Waiting Times, Rodrigo Romero-Silva, Sabry Shaaban, Erika Marsillac, Margarita Hurtado-Hernandez

Information Technology & Decision Sciences Faculty Publications

Previous studies have shown that the mean queue length of a GI/G/1 system is significantly influenced by the skewness of inter-arrival times, but not by the skewness of service times. These results are limited because all the distributions considered in previous studies were positively skewed. To address this limitation, this paper investigates the effects of the skewness of inter-arrival and service times on the probability distribution of waiting times, when a negatively skewed distribution is used to model inter-arrival and service times. Subsequent to a series of experiments on a GI/G/1 queue using discrete-event simulation, results have shown that the …

Business Interrupted : Covid-19 And Its Impact On Auction Houses, Carolina Sagardoy

MA Theses

This study aims to thoroughly analyse how auction houses are coping with the conditions imposed by the Coronavirus pandemic in the short-term and what the virus’ long-term impact on the business will be. The study will look at upcoming marketing campaigns and the quick migration to online sales, and will analyse the data within those sales. The study is unique in its aim to also analyse buyer and seller psychological behaviours and how they will be impacted as a result of forced or voluntary distancing when live sales return. Overall, the thesis aims to address the question: Can the auction …

Collectors Beware: A Glimpse Into The High-Risk, High-Reward World Of Antiquities And Its Dark Underbelly, Claire M. Purcell

MA Theses

The market for Antiquities often sparks fierce moral and legal debates amongst the public and professionals. What most do not concern themselves with is the unusually high level of risk the market functions under. From cultural heritage concerns, to the surprising abundance of fake Antiquities available for purchase, and the dark market entwined with legitimate business, the market is saturated with danger and yet continues to operate. This thesis will investigate how the market forces come together, considering the differing roles preformed by collectors, museums, auction houses, galleries, and Antiquities dealers. In an attempt to answer the question, how does …

An Exploration In Accountable Care Organization Structure, Contingency And Performance, 2015-2017, Siriporn P. Satjapot

Theses and Dissertations

The Patient Protection and Affordable Care Act of 2010 enacted one of the most significant reforms seen in the United States healthcare landscape. The Center for Medicare and Medicaid (CMS) led transformation efforts in regulatory reform and coverage expansion across the U.S. population. Since 2010, care delivery systems have been shifting from episodic, decentralized and fee-for-service models to value-based population health models, like accountable care organizations (ACO). ACOs have been specifically primed for local response to improve the health of their communities. ACO research has traditionally focused on performance measures like mortality, readmissions, quality outcomes and savings. ACO organizational characteristics …

Price Prediction In The Sharing Economy: A Case Study With Airbnb Data, Brandon Mcneil

Honors Theses and Capstones

Many sharing-economy companies like Airbnb have their profits rely on the dynamic pricing market that they participate in. Airbnb hosts can set their own price based on what they deem the market will buy. Recent research argues that almost all hosts fail to maximize their potential profit due to poorly pricing their listing (Gibbs et al., 2018). While previous studies have looked at how specific variables effect the price of an Airbnb listing, this study aims to be the first to group variables separately into two distinct categories based on the host’s ability to control that variable. Looking at two …

Predicting Gross Revenue Using Online Movie Reviews, Cara J. Small

Honors Theses and Capstones

Today, many people check the ratings and reviews of a movie before they watch it. A review can be easily published online and seen by thousands of people, and this can change a person’s opinion on whether or not they see the film. With the increasing presence of online platforms, it has changed the way people express their thoughts and feelings. There are many different platforms people can go to find varying opinions on a particular movie. This research will consider the problem of predicting a movie’s overall gross revenue. We focus on ratings, reviews and information given on the …

Investigating The Influence Of A Web Based Logistics Tool On The Effectiveness Of Operations For The Center Of Innovation For Logistics Of Georgia, David Vaughn

Honors College Theses

Research suggests a correlation between advancements in logistics infrastructure and the development rate of regional economies. Some states have identified this correlation and have taken steps to create specialized entities aimed at catalyzing the growth of logistics within their state. In the state of Georgia, the Center of Innovation for Logistics is the entity responsible for coordinating logistic development activities. As part of their responsibilities, they are tasked with fulfilling information requests regarding logistics infrastructure availability throughout the state. However, the system is used to process these requests is antiquated and extremely inefficient. In an attempt to ameliorate this process, …

Cambridge Analytica: The Scandal On Data Privacy, Carissa Boerboom

Augustana Center for the Study of Ethics Essay Contest

Consumers need to understand the risks and consequences of sharing their lives with the world. For data analysts, even if you can create and implement a model, should you? This research paper discusses Cambridge Analytica’s methods using predictive analytics and Facebook to influence the 2016 US Presidential Election. Through examining the firm as a whole, key people involved in the scandal, methods of data collection, and Facebook’s role, the ethical boundaries of big data, predictive analytics, and data privacy are analyzed. Three perspectives were discussed in regards to ethical disparity: Cambridge Analytica, Facebook, and the consumers. Overall, this research exposes …

Interest Rate Volatility And Macroeconomic Dynamics: Heterogeneity Matters, Michael Curran, Adnan Velic

Articles

We examine the relation between real interest rate volatility and aggregate fluctuations for a diverse sample of countries. Compiling a new dataset including emerging and advanced countries, the substantial variation in our data yields novel results: (a) stochastic volatility outperforms Markovswitching in representing interest rates, (b) some advanced economies can be more volatile than emerging markets, and (c) creditors take on more debt following volatility shocks. We show how an equilibrium business cycle model with uncertainty shocks can generate these facts. Sample heterogeneity produces significant parameter differences, playing an important role in distinguishing the effects of volatility shocks.

Efficiency Analysis Of A Congested Brazilian Airport Applying Slots Optimization Control: Congonhas Airport Case, Mariana Franco B. Mendes, Rafael Roco De Araujo, Ana Paula Beck Da Silva Etges, Massoud Bazargan

International Journal of Aviation, Aeronautics, and Aerospace

The current slot allocation mechanism in Brazil, based on the International Air Transport Association (IATA) rules, and its supplementary local regulation The National Civil Aviation Agency (ANAC), displays a few issues and limitations (e.g. slot misuse, allocation inefficiencies). Such issues are particularly present in the case of busy airports that works near their maximum capacity for major parts of the day. This inefficiency problem is generated because of the complexity of slot allocation added to the limited decision support available for the Brazilian system. This study focuses on the implementation of an optimal slot model, based on IATA regulations with …

Household’S Willingness (Wtp) To Pay To The Utility, Rakhshinda Bano, Mehdi Khiadani, Steven Burian

Research Datasets

The dataset contains the water use at household level, payments to the utility and household income.

Plithogenic N- Super Hypergraph In Novel Multi -Attribute Decision Making, Florentin Smarandache, Nivetha Martin

Branch Mathematics and Statistics Faculty and Staff Publications

An optimal decision-making environment demands feasible Multi-Attribute Decision-Making methods. Plithogenic n – Super Hypergraph introduced by Smarandache is a novel concept and it involves many attributes. This article aims to bridge the concept of Plithogenic n-Super Hypergraph in the vicinity of optimal decision making. This research work introduces the novel concepts of enveloping vertex, super enveloping vertex, dominant enveloping vertex, classification of the dominant enveloping vertex (input, intervene, output dominant enveloping vertices), plithogenic connectors. An application of Plithogenic n-super hypergraph in making optimum decisions is discussed under various decision-making scenarios. Several insights are drawn from this research work and will …