Business Commons^™

Navigating The Future Of Healthcare: Big Data's Impetus For Inpatient Quality Enhancement, Lakyn Hyre, Brian Cox, Alberto Coustasse

Management Faculty Research

This study aims to explore the impact of big data utilization on quality improvement in inpatient facilities, specifically assessing its influence on readmission rates, patient outcomes, and potential cost savings. This study utilized mixed methodologies with a literature review complemented by semi-structured interviews to gain perspectives about big data utilization on quality improvement in inpatient facilities. The Marshall University Institutional Review Board (IRB) approved the interview. This study’s conceptual framework (Figure 1) was adapted from the research framework of Yao, Chu, and Li (Yao et al., 2010). The framework displays the reasoning of and approach to big data and machine …

Consumers’ Reaction To Corporate Esg Performance: Evidence From Store Visits, Frank Weikai Li, Frank Weikai Li, Roni Michaely

Research Collection Lee Kong Chian School Of Business

Using micro-level data on consumer shopping behavior, this paper investigates end-consumers’ attitudes toward firms’ ESG behavior, and as importantly, the ability of consumers to affect firms’ policy concerning sustainability issues. We find that consumers care about firms’ approach toward ESG, and consumers’ behavior can impact firms’ attitudes. Using ESG incidents as a proxy, we find that the reduction in store visits is more pronounced for ESG-conscious consumers, such as those living in democratic counties, and counties with a higher fraction of educated and younger residents. Online shopping interest data yields similar results. Using abnormally hot temperature as a shock to …

Governing Smart Cities As Knowledge Commons - Introduction, Chapter 1 & Conclusion, Brett M. Frischmann, Michael J. Madison, Madelyn Sanfilippo

Book Chapters

Smart city technology has its value and its place; it isn’t automatically or universally harmful. Urban challenges and opportunities addressed via smart technology demand systematic study, examining general patterns and local variations as smart city practices unfold around the world. Smart cities are complex blends of community governance institutions, social dilemmas that cities face, and dynamic relationships among information and data, technology, and human lives. Some of those blends are more typical and common. Some are more nuanced in specific contexts. This volume uses the Governing Knowledge Commons (GKC) framework to sort out relevant and important distinctions. The framework grounds …

The Effects Of Big Data And Blockchain On The Audit Profession, Tereesha Marquette Patterson

Doctoral Dissertations and Projects

This qualitative study purposed to gain a greater understanding of the technological systems effecting the audit industry. The central focus was to gain an in-depth understanding of the effects of big data and blockchain technology on the audit industry. Interviews were carried out with selected participants working for Certified Public Accounting (CPA) firms. From the interviews, eleven CPAs provided the data to form the discovered themes. The information gathered in the interviews contributed to the body of knowledge concerning big data and blockchain technology as recognized by practicing CPAs. Four themes were identified which aligned with the participants feedback concerning …

Scaled Pca: A New Approach To Dimension Reduction, Dashan Huang, Fuwei Jiang, Kunpeng Li, Guoshi Tong, Guofu Zhou

Research Collection Lee Kong Chian School Of Business

This paper proposes a novel supervised learning technique for forecasting: scaled principal component analysis (sPCA). The sPCA improves the traditional principal component analysis (PCA) by scaling each predictor with its predictive slope on the target to be forecasted. Unlike the PCA that maximizes the common variation of the predictors, the sPCA assigns more weight to those predictors with stronger forecasting power. In a general factor framework, we show that, under some appropriate conditions on data, the sPCA forecast beats the PCA forecast, and when these conditions break down, extensive simulations indicate that the sPCA still has a large chance to …

The Patient-Centric Blockchain, Sunil Erevelles, Maanasi Bulusu, Timea Honeycutt, Stephanie Seligman, Padma Bulusu

Association of Marketing Theory and Practice Proceedings 2022

A revolution is brewing in the healthcare marketplace. In the early nineties, the World Wide Web initiated a new era for the use of the Internet in the consumption of healthcare services. This eventually led to the Big Data movement (Erevelles et al. 2016), which initiated a non-linear transformation in healthcare analytics and developed into a dominant paradigm in the healthcare marketplace. However, the World Wide Web architecture was never designed to support a marketplace in healthcare or, for that matter, a marketplace of any other kind. It was primarily designed for the sharing of information and was even referred …

Developing Institutional Skills For Addressing Big Data: Experiences In Implementation Of Aacsb Standard 5, Sumantra Sarkar, Joy Gray, Scott R. Boss, Emmet Daly

Accountancy Faculty Publications

The explosion of data coupled with firms’ desire to utilize it is driving rapid changes in the desired skillset for accounting and assurance professionals. Educational institutions are considering how to catch up to these requirements, while accreditors are also modifying standards to reflect changes in desired skillsets. We present evidence from two institutions’ efforts to update their courses to address contemporary skill requirements, accompanied by discussion from a Big 4 professional. We find that despite significant differences between the two institutions and their approaches, similar challenges were encountered, and similar feedback was obtained from students. We conclude with a proposal …

Towards High Performance Stock Market Prediction Methods, Warren M. Landis, Sangwhan Cha

Other Student Works

Stock markets of today, and will continue to in the future, rely on the metrics of timeliness and efficiency to reach optimal profits. A way stock investors have continued to strive for the best of these two factors of the business is through the use of predictive machine learning systems to help aid in their decision making. However, among the many systems currently in use, it could be said that the myriad of data that they are based on may not be sufficient. In an effort to devise an ensemble learning predictive system that will utilize an array of big …

Creating A Culture Of Data-Driven Decision-Making, Kevin Bryan Rogers

Doctoral Dissertations and Projects

Researchers have consistently shown that a supportive culture is one of the most crucial success factors in the implementation of any big data solution. Creating a culture that supports data-driven decision-making is a difficult but ultimately required step in transforming an organization into one that can readily and successfully adopt business intelligence technologies. The purpose of this qualitative case study was to understand the ways in which organizations can foster a culture of smarter decision-making and accountability so that businesses can improve operational metrics and ultimately profitability. Participants identified three major themes that drive the adoption of a data-driven culture. …

Blockchain And The Transformation Of Branding, Sunil Erevelles, Brian Whelan, Padma Bulusu

Association of Marketing Theory and Practice Proceedings 2020

Blockchain and the Transformation of Branding

Sunil Erevelles

University of North Carolina at Charlotte

Brian Whelan

University of North Carolina at Charlotte

Padma Bulusu

University of North Carolina at Charlotte

ABSTRACT

Consumer trust in brands has reached critically low levels. While Big Data has allowed marketers to gain a rich and precise understanding of their consumers (Erevelles, Fukawa and Swayne 2016), the careless and sometimes improper use of Big Data in behavioral futures markets has resulted in a decline of trust in brands of organizations that have violated consumer trust. Driven by a trust crisis in consumer relationships with institutions …

Scaled Pca: A New Approach To Dimension Reduction, Dashan Huang, Fuwei Jiang, Guoshi Tong, Guofu Zhou

Research Collection Lee Kong Chian School Of Business

The notion that bond risk premium varies with business cycles is challenged once real time macro data are used. In this paper, we argue that the macro factors extracted by using the standard PCA are not the most relevant for forecasting bond risk premium, because the PCA factors are designed to explain the most variation of macro data instead of the variation of bond risk premium. With the latter objective in mind, we propose a scaled PCA (sPCA) approach, which incorporates the information in bond risk premium in the factor extraction procedure. The real time macro sPCA factors have much …

Big-Data Based Analysis For Communication Effect Of Science-Technology Public Accounts On Social Media, Jinluan Ren, Wen Cao, Bo Li, Lihua Liu, Lin Cai, Ruben Xing

Department of Information Management and Business Analytics Faculty Scholarship and Creative Works

Public accounts on social media have become important channels for information dissemination. Well-designed public social media accounts are vital to better communicate science and technology (S-T) achievements. This article defines the S-T communication concept and proposes the analyzing dimensions. In order to measure the communication effect, this research collected 7,246 articles from S-T public accounts on WeChat. We analysis these massive data incorporating neural network (NN) and multivariate linear regression (MLR) model. The evaluation indicator system of communication effect includes three levels indicators. The research found the following factors affecting the S-T communication effect in different degrees: the number of …

Data And Predictive Analytics Use For Logistics And Supply Chain Management, Anníbal C. Sodero, Yao Henry Jin, Mark A. Barratt

Management Faculty Research and Publications

Purpose

The purpose of this paper is to explore the social process of Big Data and predictive analytics (BDPA) use for logistics and supply chain management (LSCM), focusing on interactions among technology, human behavior and organizational context that occur at the technology’s post-adoption phases in retail supply chain (RSC) organizations.

Design/methodology/approach

The authors follow a grounded theory approach for theory building based on interviews with senior managers of 15 organizations positioned across multiple echelons in the RSC.

Findings

Findings reveal how user involvement shapes BDPA to fit organizational structures and how changes made to the technology retroactively affect its design …

Evolution Of Insurance: A Telematics-Based Personal Auto Insurance Study, Yuanjing Yao

Honors Scholar Theses

Insurance has been constantly evolving since its inception; nowadays, insurance has become an indispensable part of people’s daily life. Nonetheless, very few individuals understand the mechanism behind their insurance coverage. This paper focuses on the evolution of personal auto insurances. The first part of the paper summarizes traditional pricing techniques for personal auto insurance and discusses their deficiencies. The second part of the paper introduces telematics insurance, an innovative form of auto insurance. This new kind of insurance integrates telematics as well as other technologies in the premium calculation process. The study proceeds to evaluate the pros and cons of …

Parallel Design Of A Product And Internet Of Things (Iot) Architecture To Minimize The Cost Of Utilizing Big Data (Bd) For Sustainable Value Creation, Ryan Bradley, Ibrahim S. Jawahir, Niko Murrell, Julie Whitney

Institute for Sustainable Manufacturing Faculty Publications

Information has become today's addictive currency; hence, companies are investing billions in the creation of Internet of Things (IoT) frameworks that gamble on finding trends that reveal sustainability and/or efficiency improvements. This approach to “Big Data” can lead to blind, astronomical costs. Therefore, this paper presents a counter approach aimed at minimizing the cost of utilizing “Big Data” for sustainable value creation. The proposed approach leverages domain/expert knowledge of the system in combination with a machine learning algorithm in order to limit the needed infrastructure and cost. A case study of the approach implemented in a consumer electronics company is …

Big Data: Harnessing The Beast!!, Rebecca Hovemeyer, Debra Stinson, Beteseb Gebremariam, Alberto Coustasse Dr. Ph, Md, Mba

Management Faculty Research

The healthcare industry’s growing use of health information technology has contributed to the enormous accumulation of health care data, leading to active use of the term big data. Although there has been large amounts and varieties of complex data captured during patient care, this data has remained vastly underutilized. The purpose of this study was to assess the variety of benefits and barriers of obtaining meaningful information from big data in healthcare.

The methodology utilized was a qualitative literature review that referenced 17 sources published between 2005 and 2016.Findings suggest that applied big data analytics within the healthcare arena can …

Protecting One's Own Privacy In A Big Data Economy, Anita L. Allen

All Faculty Scholarship

Big Data is the vast quantities of information amenable to large-scale collection, storage, and analysis. Using such data, companies and researchers can deploy complex algorithms and artificial intelligence technologies to reveal otherwise unascertained patterns, links, behaviors, trends, identities, and practical knowledge. The information that comprises Big Data arises from government and business practices, consumer transactions, and the digital applications sometimes referred to as the “Internet of Things.” Individuals invisibly contribute to Big Data whenever they live digital lifestyles or otherwise participate in the digital economy, such as when they shop with a credit card, get treated at a hospital, apply …

Affect And Value In Critical Examinations Of The Production And ‘Prosumption’ Of Big Data, Daniel G. Cockayne

Geography Faculty Publications

In this paper I explore the relationship between the production and the value of Big Data. In particular I examine the concept of social media ‘prosumption’—which has predominantly been theorized from a Marxist, political economic perspective—to consider what other forms of value Big Data have, imbricated with their often speculative economic value. I take the example of social media firms in their early stages of operation to suggest that, since these firms do not necessarily generate revenue, data collected through user contributions do not always realize economic value, at least in a Marxist sense, and that, in addition to their …

Big Data Management In United States Hospitals: Benefits And Barriers, Chad Schaeffer, Ariful Haque, Lawrence Booton, Jamey Halleck, Alberto Coustasse

Management Faculty Research

Big Data has been considered as an effective tool to reduce healthcare costs by eliminating adverse events and reducing readmissions in hospitals. The purpose of this study was to examine the emergence of Big Data in the United Sates healthcare industry, to evaluate hospital’s ability to effectively make use of complex information, and to predict the potential benefits hospitals might realize if they are successful. The findings of the research suggest that there were a number of benefits expected by hospitals when using Big Data analytics, including cost savings and business intelligence. In addition, hospitals have recognized that there have …

Future-Focused Leadership: Three Mega-Trends Influencing Distance Learning, Connie I. Reimers-Hild

Kimmel Education and Research Center: Faculty and Staff Publications

While many continue to question the skyrocketing costs and value of a college education, future-focused leaders are recreating learning experiences by blending technology with the human experience. What does the future of distance learning look like, taste like and feel like? It can be difficult to predict the future of education as the world continues to evolve at an increasingly rapid pace; however, distance learning administrators can use a future-focused leadership approach, which includes examining megatrends, to plan for the future. Megatrends are global shifts that influence society, the economy and the environment. The purpose of this paper is to …