Business Analytics Commons^™

Commodity Futures Returns And Policy Uncertainty, Deepa Bannigidadmath, Paresh Kumar Narayan

Research outputs 2014 to 2021

© 2020 Elsevier Inc. This paper investigates whether economic policy uncertainty is predictable using three sets of commodity futures market variables, namely the equal-weighted average of futures excess returns, the excess returns on a portfolio of going long in backwardated commodities, and the excess returns on a portfolio of going short in contango commodities as predictors. We find significant evidence of both in-sample and out-of-sample predictability. Combination forecasts also reveal strong evidence of predictability. Our findings remain unchanged following several robustness tests.

Mining Open Government Data For Business Intelligence Using Data Visualization: A Two-Industry Case Study, Anne Gottfried, Caroline Hartmann, Donald Yates

Faculty Publications

The business intelligence (BI) market has grown at a tremendous rate in the past decade due to technological advancements, big data and the availability of open source content. Despite this growth, the use of open government data (OGD) as a source of information is very limited among the private sector due to a lack of knowledge as to its benefits. Scant evidence on the use of OGD by private organizations suggests that it can lead to the creation of innovative ideas as well as assist in making better informed decisions. Given the benefits but lack of use of OGD to …

Multi-Step-Ahead Exchange Rate Forecasting For South Asian Countries Using Multi-Verse Optimized Multiplicative Functional Link Neural Networks, Kishore Kumar Sahu, Sarat Chandra Nayak, Himansu Sekhar Behera

Karbala International Journal of Modern Science

The dynamic nonlinearity approach, coupled with the exchange rate data series, makes its future predictions difficult. Sophisticated methods are highly desired for effective prediction of such data. Artificial neural networks (ANNs) have shown their ability to model and predict such data. This article presents a multi-verse optimizer (MVO) based multiplicative functional link neural network (MV-MFLN) model to forecast the exchange rate data. Functional link neural network (FLN) makes use of functional expansion for input data with a fewer number of adjustable neuron weights, which makes it capable of learning the uncertainties accompanying the exchange rate data. In contrast to the …

Supply Chain Student Biases Regarding Transportation Jobs, Drew Mahosky

Information Systems Undergraduate Honors Theses

As a Supply Chain student at the University of Arkansas, I have made some observations about how students view jobs with a transportation focus. I have seen other students gravitate towards jobs on the consumer-side of the supply chain job market, with many joining large companies like Walmart and Amazon. The university itself has helped instill this feeling in me as well, due to their focus more on the consumer-side of supply chains. There have only been two classes offered to me thus far in my degree plan that I felt truly addressed transportation-side supply chains at all, with them …

A New Hospitality Marketing Perspective On The Emergence Of “Lifestyle Hotels”, Jun-Ichiro Tokue

Japanese Society and Culture

Hotels in Japan have long been grouped under two categories: city hotels and business hotels. While the former are relatively expensive, have a large number of guest rooms, and include a variety of French and Chinese and Japanese restaurants and bars as well as meeting rooms and huge banquet halls, the latter are relatively low-priced facilities that only have guest rooms or basic rooms destined to meals.

However, the category of lifestyle hotels, which is different from both, has been growing rapidly in Japan in the last few years. Instead of the above two categories, price categories such as luxury, …

Returning To Solvency Through Quality Improvement, Matthew Faciane, Susan K. Fan, Rocky J. Dwyer

International Journal of Applied Management and Technology

The purpose of this qualitative case study was to explore quality improvement strategies senior manufacturing production managers use to reduce Cost of Poor Quality (COPQ) to increase profit. The participants for this study were production managers within a manufacturing company located in the southeastern region of the United States who successfully developed and implemented strategies to lower COPQ to increase profitability. Six major themes emerged from the study: continuous improvement, quality assurance, employees as agents of quality improvement, communication between stakeholders, holding all firm members accountable for quality, and training. Manufacturing managers can use these strategies to lower COPQ and …

Nevada's Plan For Recovery And Resilience, Sri International, Rcg Economics, Brookings Mountain West

Policy Briefs and Reports

The report that follows contains the following components:

• An economic forecast from RCG Economics on the situation expected for Nevada—GDP and employment—in the fall of 2021 (subject to all the present uncertainties faced by Nevada and the country as a whole).
• A series of immediate actions, in which GOED plays a leadership role, to shelter and prepare for recovery key components of Nevada’s economy. The particular focus is on “Main Street” and small and medium sized businesses.
• A set of visionary strategies, firmly grounded in Nevada’s underlying assets, that will accelerate the diversification of the state’s economy and the transition …

Effect Of Information Technology Capital: Technology Infrastructure, Database, Software, And Brainware Toward Optimize The Use Of Information Technology (Case Study : Uin Sunan Ampel Of Surabaya), Rismawati Br Sitepu, Ilham M.Said, Tanti Handriana, Praptini Yulianti

Library Philosophy and Practice (e-journal)

This research was conducted to determine the extent of the influence of technology infrastructure costs, software costs, database costs and brainware costs to increase the information technology budget of the Sunan Ampel State Islamic University in Surabaya and efficient use of the budget. The purpose of this study is to prove that there is a positive and significant influence of technology infrastructure costs, software costs, database costs and brainware costs to increase information technology budgets by using validity and reliability tests and classic tests such as the Normality test, Multicollinearity test, autocorrelation test, Heteroskedasticity test , and Linearity test. This …

Price Optimization For Revenue Maximization At Scale, Nikhil Gupta, Massimiliano Moro, Kailey A. Ayala, Bivin Sadler

SMU Data Science Review

This study presents a novel approach to price optimization in order to maximize revenue for the distribution market of non-perishable products. Data analysis techniques such as association mining, statistical modeling, machine learning, and an automated machine learning platform are used to forecast the demand for products considering the impact of pricing. The techniques used allow for accurate modeling of the customer’s buying patterns including cross effects such as cannibalization and the halo effect. This study uses data from 2013 to 2019 for Super Premium Whiskey from a large distributor of alcoholic beverages. The expected demand and the ideal pricing strategy …

A Systematic Literature Review : The Influence Of Information Technology And Organizational Learning On Performance, Merlin Apriliyanti, Ilham M, Dian Ekowati, Tanti Handriana

Library Philosophy and Practice (e-journal)

This Study is to discuss about literature review of Information technology enabler is a strategic asset in creating competitive advantage. The contribution of information technology investment to company performance does not appear immediately, but is independent in supporting business activities. The ability and mastery of information technology is not necessarily effective in contributing to company performance. Organizational learning plays a role in mediating the relationship between Information Technology enablers and company performance. This study aims to conduct a systematic literature review of research in the field of Information Technology Enabler and learning organization and performance with data from all international …

The Effects Of Customer Segmentation, Borrowers' Behaviours And Analytical Methods On The Performance Of Credit Scoring Models In The Agribusiness Sector, Daniela Lazo, Raffaella Calabrese, Cristian Bravo Roman

Statistical and Actuarial Sciences Publications

The main aim of this study is to analyse the joint effects of customer segmentation, borrowers' characteristics and modelling techniques on the classification accuracy of a scoring model for agribusinesses. To this end, we used data provided by a Chilean company on 161,163 loans from January 2007 to December 2013. We considered random forest, neural network and logistic regression models as analytical methods. Regarding the borrowers' profiles, we examined the effects of socio-demographic, repayment-behaviour, agribusiness-specific and credit-related variables. We also segmented the customers as individuals, SMEs and large holdings. As the segments show different risk behaviours, we obtained a better …

Dynamic Capabilities Information Technology Enabler For Performance Organization, Heri Cahyo Bagus, Ilham M, Anis Eliyana, Tanti Handriana, Nuzulul Fatimah, Tatag Herbayu L

Library Philosophy and Practice (e-journal)

This study was conducted with the aim of determining various bibliometric characteristics of documents published in the Scopus database. The information starts from the type of access, year, author, subject area, document type, publication stage, source title, keyword, affiliation, funding sponsor, country, source type, and language. Dynamic Capabilities, Information Technology Enabler and Performance are defined as the use of information technology capabilities and information technology management processes between business units with the shared use of resources. Research on Dynamic Capabilities, Information Technology Enablers and Performance by providing a big picture that is visualized from year to year. This study aims …

2020-2021 Morehead State University Audit Report, Morehead State University. Accounting And Financial Services Office.

Morehead State University Audit Reports

2020-2021 Audit Report for Morehead State University.

A Data Analytics Study For Adverse Reactions Of Blood Donors By Age, Gender, And Donation Type, Muhammed Miah, Shah J. Miah

Business Information Systems Faculty Research

The blood donation process is usually very safe, and blood donors are comfortable during the blood donation procedure; however, blood donors occasionally experience various types of adverse reactions during or at the end of blood donation. Some of these reactions are very minor while blood donors sometimes experience serious reactions as well. This study aims to analyze the various types of adverse reactions experienced by the blood donors. The study conducts detailed analysis on a significant amount of real data collected through a blood organization in the southern part of the United States and provides the results regarding the frequency …

Strategic Analysis Of Mirror: The Gym, Neeti Verma

Engineering and Technology Management Student Projects

The home gym equipment market has many local and global manufacturers competing for a higher market share. The market for gym equipment has traditionally been composed of commercial fitness facilities, hotels, and offices. The home equipment market has been rising amid COVID-19 pandemic. There have been a few new entrants with high technology in the home gym equipment market.

This paper looks at one such company and performs a strategic analysis of its product and would analyze the strategies used by the company to gain market share, performs external on the industry, and tries to propose a path forward for …

Predicting College Enrollment During A Global Crisis, Jake Colin Hewins

Honors Theses and Capstones

This paper looks at how the COVID-19 pandemic has affected college enrollment at colleges and universities within New England, how this effect compares to the Great Recession of 2008-2009, and then predict future trends in total enrollment by first identifying the major factors of change in college enrollment during the Great Recession and COVID-19 pandemic. These factors include the perceived value of getting a degree by traditional and nontraditional students, where colleges and universities generate their revenue, and where and how students are enrolling in higher education, and the cost and value of online learning. Based on these factors, questions …

An In-Depth Analysis Of The Data Analytics Job Market, Dagny Elaine Wilkins

Honors Theses and Capstones

No abstract provided.

Evolution Of An Enterprise Information System Toward Omni-Channel Retailing: A Case Study, Francis Varin, Abhijit Chaudhury

Information Systems and Analytics Department Faculty Journal Articles

This case study covers the evolution of an enterprise information system at a sportswear firm. Over time, the sportswear industry has moved from a single channel to multiple channels and is now progressing toward an omni-channel system for better serving their customers. This required a corresponding evolution in the firm’s information technology (IT) systems. But changes in an IT system do not work in isolation. To get the most from their new IT platform, the firm discovered the need to redesign their organizational structure, redefine IT’s role, and do strategic workforce planning. The paper describes, under fictitious names, how the …

Competitiveness Of Mexico In The Technological Innovation Sector: An Assessment Of The Patents Granted By Mexican Government, Angel Contreras Cruz

Engineering and Technology Management Student Projects

This paper reviewed the existing literature regarding competitiveness in the technological innovation sector in Mexico. The gaps in the literature were found, and, later, these gaps aided the guidelines of this research. This paper is organized as follows. Section 2 provides a comprehensive literature review in the Mexican context and international context. Section 3 describes aspects of competitiveness in Mexico and the role of R&D organizations and universities related to patent activity. Section 4 covers how the patenting system works in Mexico and provides a description of the Mexican patent system. Section 5 explains the methodology used for this research. …

Exploring Growth And Impact Of Research Productivity For Prince Of Songkla University (Psu) On Scopus Database: A Bibliometric Analysis, Pachisa Kulkanjanapiban, Tipawan Silwattananusarn

Library Philosophy and Practice (e-journal)

This paper presents a Bibliometric analysis of Prince of Songkla University (PSU) based on the Scopus database for 1978-2021. The study aimed to explore the current state, the trends, characteristics of Prince of Songkla University (PSU), i.e., growth of research output, collaboration trends, authorship pattern, citation patterns, contributing countries, and organizations. A total of 14,644 publications consulted of PSU published during the year 1978-2021 retrieved from the Scopus database, and these articles had a total of 10,257 cited items. The method used to display the research pattern and research activity on a particular topic is the bibliometric analysis commonly used …

Higher Education Advertising Expenditures’ Impact On The Key Performance Indicator Of New Enrollments Using Information Systems And Business Analytics, Alison Munsch Phd, Charles Cante Phd, Jason Diffenderfer Ma., M.S.

Journal of International Technology and Information Management

The impact of advertising expenditures on student enrollments has not been explored extensively in the literature. The higher education sector demonstrated an increase in paid advertising but soft overall higher education enrollments recently. This research explored the relationship between advertising expenditures in higher education and new enrollments using information systems and business analytics. Results indicate a weak association between advertising expenditures in higher education and the key performance indicator of new student enrollments. A contribution of this study is to the media planning function and users of information systems and analytic techniques for actionable insights.

Eco 230 / Mgt 230 Introduction To Economic And Managerial Statistics, George Vachadze

Open Educational Resources

No abstract provided.

Less Commute Miles. Decreased Tire Wear. What Would You Do?, Dylan Schwarz, Brendon M. Ford, Brandon D. Hadinger, Abbie N. Pearce, Jacinta M. Pikunas

Williams Honors College, Honors Research Projects

With the flagrant recognition of the coronavirus as one of those most impactful viruses in the history of the world, it is important to study how the effects of such a disease can create troublesome ripple effects in the world. Covid-19 has caused the death of hundreds of thousands of individuals and has negatively impacted the lives of American’s all across the country during the nationwide lockdown. Decreased work commuters, minimal road travel, and little need for car repairs hit the Goodyear Tire and Rubber Company hard. The University of Akron has teamed up with Goodyear to explore such effects …

Social And Human Capital Contributions Of Diverse Board Members, Sharifa Ife Batts

Theses and Dissertations

While most firms serve a diverse population, many have no minorities or women serving as Members on their board. Boards are disadvantaged when their composition fails to align with Their employee population or the stakeholder groups they serve; they are neglecting the Contributions of women and minorities as their voices are unheard. The purpose of this multiple Case comparison study builds on current boardroom diversity and board effectiveness research by Exploring how the unique human and social capital contributions of women and minority board Members increase the boards’ capabilities and impact board governance. I qualitatively examined Six boards of varied …

Text Mining To Identify The Origin Of Chronic Wasting Disease, G. Webb

Faculty Research, Scholarly, and Creative Activity

Chronic wasting  disease (CWD)  is  a 100  percent  fatal,  prion  disease of  deer  that  has  the potential  to decimate  the  deer  population and  jump to  the  human  population.   A  simple  Google  search on  the  “origin of  chronic wasting  disease” yielded  a total  of  56  relevant  articles.   Of  these,  75  percent  report  that  the origin  is  unknown,  19.6  percent  report  that  the  disease  may  have  originated  in  a  Fort  Collins,  Colorado, government  research facility, and 5.4 percent  report  other  possible  origins.  Government  sources  reported the  Fort  Collins  theory  4.3 percent  of  the  time  while  non-governmental  sources,  such  as news articles, reported …

Effective Use Of Data Analytics And Its Impact On Business Performance Within Small-To-Medium-Sized Businesses, Alfonso Berumen

Theses and Dissertations

Business use of data analytics and its potential impact on firm performance have become topics of deep interest within both the business practitioner and academic communities. While previous research has demonstrated relationships between data analytics and firm performance in larger firms, there is limited research on whether and how data analytics is used within and impacts Small-to-Medium-sized Business (SMB) settings. Given the preponderance of SMBs within the US economy, and their contribution to employment and economic activity, it is important for SMB owners to understand what management practices lead to effective use of data analytics that in turn impacts SMB …

Stock Trend Prediction Using Candlestick Charting And Ensemble Machine Learning Techniques With A Novelty Feature Engineering Scheme, Yaohu Lin, Shancun Liu, Haijun Yang, Harris Wu

Information Technology & Decision Sciences Faculty Publications

Stock market forecasting is a knotty challenging task due to the highly noisy, nonparametric, complex and chaotic nature of the stock price time series. With a simple eight-trigram feature engineering scheme of the inter-day candlestick patterns, we construct a novel ensemble machine learning framework for daily stock pattern prediction, combining traditional candlestick charting with the latest artificial intelligence methods. Several machine learning techniques, including deep learning methods, are applied to stock data to predict the direction of the closing price. This framework can give a suitable machine learning prediction method for each pattern based on the trained results. The investment …

Audits For The Minimization Of Eco-Anxiety In The World Economy, Karina Nazarova, Volodymyr Hordopolov, Mariia Nezhyva, Viktoriia Mysiuk, Tetiana Kopotiienko

Journal of Environmental Science and Sustainable Development

The global pandemic of 2019–2020 is changing not only the lives of citizens, but also approaches to business management. The activities of audit companies have not escaped. Problematic and debatable issues need to be addressed to formulate a comprehensive approach to audits in a transformative economic environment and minimize the global economy's eco-anxiety. The purpose of the article is to determine the role of the audit in minimizing the eco-anxiety of the world economy. The study's materials were indicators of the spread of the COVID-19 pandemic in the world, public writings of scientists, official reports of international organizations, regulations, and …

Analisis Sengketa Koreksi Fiskal Pada Biayaresearch And Development (Studi Kasuspemeriksaan Pajak Pt.X Tahun 2014), Hadining Kusumastuti, Ari Warli Ruchiyat

Jurnal Vokasi Indonesia

This paper discusses the Fiscal Correction Dispute Analysis on Research & Development Costs at the 2014 Tax Audit Year PT. X. In this case study discusses the different interpretations between taxpayers and Fiscus on the provisions governing the costs that can be charged to companies, causing tax disputes. The purpose of writing is to determine the background of the recognition of research and development costs at PT X. and its compliance with the provisions of tax regulations. The research method used is descriptive qualitative. The result of this case study is the assumption from the Fiscus regarding the recognition of …

The Role Of Small Business Within The National Economy, Zokir Sodiqov

The Light of Islam

The article considers the impact of small business on the development of the national economy, expansion of production, improving the quality of goods and services, increasing employment, strengthening export potential, and efcient organization of imports. In this regard, the analysis of the conditions created in our country, and the basis of the achieved results were done. Also, future challenges and areas for improvement were identifed. One of the priorities in the development of a modern sociallyoriented market economy in our country is to strengthen small business and private entrepreneurship. Economic reforms are underway and a system has been set up …