Business Commons^™

Human Resource Information Systems: Implementing Data Analytics Techniques In Human Resource Functions, Prachi Tembhekar

Electronic Theses, Projects, and Dissertations

This project investigated analytical techniques used by organizations across many industries for HR functions, and how data analytical techniques can help HR departments work efficiently. The goal was to look into the obstacles and opportunities that companies have when using HR analytics as a tool in their businesses. This project used secondary data acquired from earlier research articles, journals from the years 2016 to 2019, blogs, and websites to investigate theories and applications of HR analytics. It also examined the need of analytics to assist HR leaders in thinking about the implications of these technologies in future work and how …

Non-Communicable Diseases And Social Media: A Heart Disease Symptoms Application, Ashwin Kumar Thandapani Kumarasamy, Daniel Asamoah, Ramesh Sharda

ISSCM Faculty Publications

Social media platforms have become ubiquitous and allow users to share information in real-time. Our study uses data analytics as an approach to explore non-communicable diseases on social media platforms and to identify trends and patterns of related disease symptoms. Exploring epidemiological patterns of non-communicable diseases is vital given that they have become prevalent in low income communities, accounting for about 38 million deaths worldwide.

We collected data related to multiple disease conditions from the Twitter microblogging platform and zoomed into symptoms related to heart diseases. As part of our analyses, we focused on the mechanism and trends of disease …

Business Plan: Consulting Firm Focused On Manufacturing Digitalization, Edward Mulford

Honors Theses

The goal of this paper outlines a business framework for the development of a digitization consulting firm focused on the manufacturing sector. The firm’s goal is to help organizations in Michigan leverage technology to keep their business vibrant and workers skilled. The primary services for the firm will be related to the implementation of products and services within Industry 4.0, the cyber-physical smart factory industrial revolution. The beginning of the paper explains the ecosystem surrounding digitalization as well as the nine technologies (ex: big data, simulation, additive manufacturing) driving the innovation. The framework for this business plan uses the business …

A Data-Centric Analysis On Stem Majoring And Success: Attitude And Readiness, Xin James He, Myron Sheu, Jie Tao

Journal of International Technology and Information Management

This research studies attitude and readiness of STEM majoring and success with

the data from a survey with a total of 501 viable responses, with respect to STEM

(science, technology, engineering, and mathematics) related majors that are

essential and fundamental to skills relevant to big data business analytics.

Recruiting and keeping students in STEM areas have attracted a large body of

attention in pedagogical studies. An effective way of achieving such a goal is to

show them how rewarding and self-fulfilling STEM careers can be toward

perspective students. One example of the abundance of STEM careers is the rapid

growth …

Intelligent Information Management: The Impact Of Business Expertise On Information System Data And Analytics Resilience (Is-Dar) For Disaster Recovery And Business Continuity: An Exploratory Study, James A. Rodger

James Rodger

New Artifacts For The Knowledge Discovery Via Data Analytics (Kdda) Process, Yan Li

Theses and Dissertations

Recently, the interest in the business application of analytics and data science has increased significantly. The popularity of data analytics and data science comes from the clear articulation of business problem solving as an end goal. To address limitations in existing literature, this dissertation provides four novel design artifacts for Knowledge Discovery via Data Analytics (KDDA). The first artifact is a Snail Shell KDDA process model that extends existing knowledge discovery process models, but addresses many existing limitations. At the top level, the KDDA Process model highlights the iterative nature of KDDA projects and adds two new phases, namely Problem …