Management Information Systems Commons^™

Fixing Social Media: Toward A Democratic Digital Commons, Michael Kwet

Markets, Globalization & Development Review

In the past few years, big Social Media networks like Facebook, Twitter, and YouTube have received intense scrutiny from the intellectual classes. This article critiques the dominant strain of criticism, the neo-Brandeisian School of antitrust, for its narrow focus on “regulated competition” as an appropriate means to “fix social media”. This essay calls for a socialist alternative: a democratic social media commons based on free and open source technology, decentralization, and democratic socialist legal solutions. It reviews how existing solutions like the Fediverse and LibreSocial work, and how they may provide answers for a better way forward.

Advancing Transportation Routing Decisions Using Riemannian Manifold Surfaces, Emre Tokgöz, Iddrisu Awudu, Saravanan Kuppusamy

Rohrer College of Business Departmental Research

We consider several real-world driving factors such as the time spent at traffic signs (e.g., yield signs and stop signs), speed limits, and the topology of the surface to develop realistic and accurate routing solutions. Though these factors increase the complexity of modeling, they provide the flexibility to evaluate the routing solutions from different perspectives: cost, distance, and time, to name a few. First, we develop a set of algorithms based on the Riemannian manifold surface (RMS) to factor in the Earth’s curvature to calculate distances. Second, we present a multiobjective, nonlinear, mixed-integer model (MINLP) that minimizes the distance traveled, …

Tree-Based Algorithm For Stable And Efficient Data Clustering, Hasan Aljabbouli, Abdullah Albizri, Antoine Harfouche

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

The K-means algorithm is a well-known and widely used clustering algorithm due to its simplicity and convergence properties. However, one of the drawbacks of the algorithm is its instability. This paper presents improvements to the K-means algorithm using a K-dimensional tree (Kd-tree) data structure. The proposed Kd-tree is utilized as a data structure to enhance the choice of initial centers of the clusters and to reduce the number of the nearest neighbor searches required by the algorithm. The developed framework also includes an efficient center insertion technique leading to an incremental operation that overcomes the instability problem of the K-means …

The “Right” Recipes For Security Culture: A Competing Values Model Perspective, Hwee-Joo Kam, Thoma Mattson, Dan J. Kim

Management Faculty Publications

This study argues that the effect of perceived organizational culture on the formation of security-related subjective norms and the level of compliance pressure will vary based on how the employees perceive their organization’s cultural values. These perceptions reflect on the assumptions and principles that organizations use to guide their security-related behaviors. To make these arguments, we adopt the competing values model (CVM), which is a model used to understand the range of organizational values and resulting cultural archetypes.

Uncertainties Abound In Nebraska Livestock Market Forecasts, Elliott James Dennis

Extension Farm and Ranch Management News

About one of the only things certain about forecasts this year has been the great deal of uncertainty. Numerous “novel” situations have confronted the industry making it difficult to estimate price magnitudes rather than just price direction. Clustered plant closures, government quarantine restrictions, and increasing at home phone consumption are just a few of the major issues the beef industry has had to tackle in the last six to eight months. Some things have returned to “normal” such as packing plant capacity and food service demand. Others are still in ongoing recovery.

Who knows what “normal” or “standard operating procedure” …

Comparing Profitability And Management Factors Across Operation Type: Independent Vs. Contract Growing, Elliott James Dennis

Extension Farm and Ranch Management News

First paragraph:

There is strong local and national interest in adding hog barns to existing row crop operations. Declining on farm income over the past several years has accelerated this interest. Grain operations cite diversifying farm income, adding another family to the farm operation, and/or replacing commercial fertilizer expense as the primary reasons for adding a hog barn.

A Historical Perspective On The Holcomb Fire: Differences And Similarities To The Covid-19 Situation And Other Significant Market Events, Elliott James Dennis

Extension Farm and Ranch Management News

Copyright 2020, the author. Used by permission.

Financial Health Of Grain Operations After Adding A Hog Barn, Elliott James Dennis

Extension Farm and Ranch Management News

There is strong local and national interest in adding hog barns to existing row crop operations. Declining on farm income over the past several years has accelerated this interest. Grain operations cite diversifying farm income, adding another family to the farm operation, and/or replace commercial fertilizer expense as the primary reasons for adding a hog barn.

While there is industry demand to increase hog contract growing, these agreements can possess significant benefits and risks to producers. This is the second of a four part series which will discuss some financial and legal implications of adding a hog barn to an …

Hog Barn Density And Location In U.S. And Nebraska, Elliott James Dennis

Extension Farm and Ranch Management News

There is strong local and national interest in adding hog barns to existing row crop operations. Declining on farm income over the past several years has accelerated this interest. Grain operations cite diversifying farm income, adding another family to the farm operation, and/or replace commercial fertilizer expense as the primary reasons for adding a hog barn.

While there is industry demand to increase hog contract growing, these agreements can possess significant benefits and risks to producers. This is the first of a four part series which will discuss some financial and legal implications of adding a hog barn to an …

Global Optimization Algorithms For Image Registration And Clustering, Cuicui Zheng

Dissertations

Global optimization is a classical problem of finding the minimum or maximum value of an objective function. It has applications in many areas, such as biological image analysis, chemistry, mechanical engineering, financial analysis, deep learning and image processing. For practical applications, it is important to understand the efficiency of global optimization algorithms. This dissertation develops and analyzes some new global optimization algorithms and applies them to practical problems, mainly for image registration and data clustering.

First, the dissertation presents a new global optimization algorithm which approximates the optimum using only function values. The basic idea is to use the points …

Changing The Focus: Worker-Centric Optimization In Human-In-The-Loop Computations, Mohammadreza Esfandiari

Dissertations

A myriad of emerging applications from simple to complex ones involve human cognizance in the computation loop. Using the wisdom of human workers, researchers have solved a variety of problems, termed as “micro-tasks” such as, captcha recognition, sentiment analysis, image categorization, query processing, as well as “complex tasks” that are often collaborative, such as, classifying craters on planetary surfaces, discovering new galaxies (Galaxyzoo), performing text translation. The current view of “humans-in-the-loop” tends to see humans as machines, robots, or low-level agents used or exploited in the service of broader computation goals. This dissertation is developed to shift the focus back …

An Automated Feedback System To Support Student Learning Of Conceptual Knowledge In Writing-To-Learn Activities, Ye Xiong

Dissertations

As a pedagogical strategy, Writing-to-Learn (WTL) intends to use writing to improve students’ understanding of course content. However, most of the existing feedback systems for writing are mainly focused on improving students’ writing skills rather than their conceptual development. In this dissertation, an automatic approach is proposed to generate timely, actionable, and individualized feedback based on comparing knowledge representations extracted from lecture slides and individual students’ writing assignments. The novelty of the proposed approach lies in the feedback generation: to help students assimilate new knowledge into their existing knowledge better, their current knowledge is modeled as a set of matching …

What Are Total Export Commitments Telling Us About Beef’S Potential In 2020: Positive Signs?, Elliott James Dennis

Extension Farm and Ranch Management News

Overarching Market Conditions

The recent cattle on feed report suggests that cattle feedlots are coming closer to sorting through much of the backlog associated with plant closures and shutdowns as a result of plant workers testing positive for COVID-19 and plants implementing CDC and OSHA worker health recommendations. For example, the number of cattle on feed over 90 days has dipped below 2019 levels for the first time since April. However, cattle on feed over 120 days is still about 10% higher than 2019. The result of cattle being on feed longer is sustained record level dressed weights for both …

Drought Decisions: Profit Maximizing Decisions During And After Drought Conditions, Robert Tigner, Elliott James Dennis

Extension Farm and Ranch Management News

In summary, using available price risk management tools can effectively reduce some of the market price risk variability that is inherent in agricultural production that are caused by either production or price risk.

Research On The Logistics Development Model Of Shanghai Free Trade Zone, Yuhong Xie

World Maritime University Dissertations

No abstract provided.

Tech Policy And Legal Theory Syllabus, Yafit Lev-Aretz, Nizan Packin

Open Educational Resources

Technology has changed dramatically over the last couple of decades. Currently, virtually all business industries are powered by large quantities of data. The potential as well as actual uses of business data, which oftentimes includes personal user data, raise complex issues of informed consent and data protection. This course will explore many of these complex issues, with the goal of guiding students into thinking about tech policy from a broad ethical perspective as well as preparing students to responsibly conduct themselves in different areas and industries in a world growingly dominated by technology.

Automated License Plate Recognition Using Existing University Infrastructure And Different Camera Angles, Andre Calitz, Matthew Hill

The African Journal of Information Systems

Number or license plate recognition has become an essential technology for traffic and security applications. Providing access control at any organization or academic institution improves the level of security. However, providing security personnel to manually control the access of vehicles at an academic institution is costly, time-consuming, and to a limited extent, error prone. This study investigated the use of an automated vehicle tracking system, incorporating experimental computer vision techniques for license plate recognition that runs in real-time to provide access control for vehicles and provide increased security for an academic institution. A vehicle monitoring framework was designed by using …

The Impact Of Autonomous Vehicles, Preston Loveland

Marriott Student Review

In this article, Preston Loveland delves into the innovations of autonomous vehicles. He outlines the safety, benefits, and public opinion of self-driving cars while inviting the reader to become part of this innovation.

Music March Madness: Predicting The Winner Of Locura De Marzo, Kevin Mentzer, Zachary Galante, Brenna Rojek, Rachel Cardarelli

Information Systems and Analytics Department Faculty Journal Articles

Each Spring, thousands of middle and high school students enrolled in Spanish classes vote for their favorite songs in the annual Locura De Marzo competition. This alternative March Madness competition gives us an opportunity to build and test models to predict which songs will win which furthers the Hit Song Science literature. Using decision trees and support vector machine (SVM) models we find similarities with the challenge of predicting the popular NCAA Basketball bracket including the importance of seed and the difficulty in predicting a “perfect” bracket

Embedding Robotic Process Automation Into Process Management: Case Study Of Using Taskt, Anand Jeyaraj, Vikram Sethi

Management Information Systems Faculty Publications

XYZ Company routinely faced penalties imposed by the United States Internal Revenue Service (IRS) for non-compliance in depositing federal withholding taxes related to the managed benefits plans for its clients. Since the rules for depositing the federal taxes were complex and differed between the benefits plans, it was common for XYZ Company to accrue penalties imposed by the IRS. Desiring to eliminate penalties by complying 100% with the IRS guidelines, XYZ Company considered various solutions. Finally, XYZ Company implemented a Robotic Process Automation (RPA) solution using the open source tool—taskt—to achieve 100% compliance in depositing federal withholding taxes and eliminate …