Management Sciences and Quantitative Methods Commons^™

What Happened In The Past: How Experience Does Not Mean Squat When It Comes To Adapting To The Changing Nature Of Work, Shawn M. Bergman

River Cities Industrial and Organizational Psychology Conference

The magnitude and pace of workplace change mean that individuals also need to adapt and change their approach to solving modern business problems. The fact that analysis, creativity, and adaptability skills are continually listed as some of the most in-demand employee skills indicate that the workforce has not kept up. Instead, people rely on experience and intuition to solve novel problems. This reliance is concerning because neither have ever been listed as in-demand employee attributes and because experience often has a negative relationship with job performance. The session will introduce a decision-making framework and problem-solving approach, which first involves understanding …

Change In Trading Propensity (Inclination) Before And Post Covid-19 Role Of Bias, Aditi Srivastava, Raman Sharma, Mahak Gupta, Srishti Singh, Samarth Agarwal, Nidhi Singh

Management Dynamics

No abstract provided.

Measuring Impact To Make A Difference, Singapore Management University

Perspectives@SMU

Impact-Weighted Accounts (IWAs) quantify impact and aims to help managers make better decisions

Society Dilemma Of Computer Technology Management In Today's World, Iwasan D. Kejawa Ed.D

School of Computing: Faculty Publications

Abstract - Is it true that some of the inhabitants of the world’s today are still hesitant in using computers? Research has shown that today many people are still against the use of computers. Computer technology management can be said to be obliterated by security problems. Research shows that some people in society feel reluctant or afraid to use computers because of errors and exposure of their privacy and their sophistication, which sometimes are caused by computer hackers and malfunction of the computers. The dilemma of not utilizing computer technology at all or, to its utmost, by certain people in …

An Empirical Study To Understand The Effectiveness And Scope Of Blockchain Technology In Indian Public Sector, Radhakrishnan Airy, Hritika Gajarlawar, Nilay Bajaria, Ganesh Joshi

Walden Faculty and Staff Publications

The Blockchain is a distributed database that is maintained as Blocks and contains all transactions or digital occurrences. These are the records of transactions that take place between parties.Blockchain blocks are kept as blocks and shared among participants. Each Block is examined, validated, and saved by the parties who are a part of the system/network, each brick is unique and contains the details of a single transaction as well as the transaction's hash key. The study offers insights to researchers about the opportunity threat and future use of blockchain in the public sector.

Interlocking Directorates Among The S&P 500: Social Networks, Gender Diversity, And Corporate Governance, Eric P. Magistad

School of Business Student Theses and Dissertations

This multi-article investigation examines corporate board composition and the implications for regulatory penalties. Director diversity on key board committees and board interlocks influence board behaviors as they relate to regulatory risk. Directors bring experience and inter-industry ties to a board position and subsequently transfer and receive specific knowledge, practices, and contacts with other directors (Hillman & Haynes, 2010). Despite this exchange, firms may suffer regulatory oversight penalties because different directors perceive and respond to risk differently (Douglas & Wildavsky, 1983; Flynn et al., 1994). Leveraging the tenets of the cultural theory of risk perception (Douglas & Wildavsky, 1983) and of …

The Application Of Design Thinking On Evaluating A User Self-Service Data Analytics/Science Platform, Aheeka Pattnaik

Dissertations and Theses

This thesis is aimed at utilising design thinking and the first half of the double diamond framework to i) set-up a research and select the appropriate participants, ii) gather requirements and define user personas from those eligible participants, and then iii) define the framework for evaluating a user self-service data analytics/science platform. Derived from the author’s own experiences, both as a Business Analyst (BA) and Citizen Data Scientist, with no-, low-, and code-based data analytics and science platforms are being implemented for enabling user self-service analytics – for users who are completely new to the space of data analysis and …

Estimating The Impact Of The Covid-19 Emergency On Tax Revenues In Guatemala: A Time Series Approach, Julio H. Cole

Journal of New Finance

Applications of time series models serve two different purposes: (1) as forecasting techniques, they are used to project the trajectory of a variable of interest during a certain number of future periods; (2) in the analysis of interventions, they are used to evaluate the effect of a significant disturbance on the process being studied. We use both types of application to study monthly tax revenues in Guatemala. In Section 2 we use data for 2010-2019 in order to compare two alternative models: (a) the Box-Jenkins (ARIMA) model, and (b) the Holt-Winters exponential smoothing model. In Section 3 we use post-2019 …

Forecasting Demand For Optimal Inventory With Long Lead Times: An Automotive Aftermarket Case Study, Chris Anderson

Dissertations

Accuracy in predicting customer demand is essential to building an economic inventory policy under periodic review, long lead-time, and a target fill rate. This study uses inventory and customer service level as a stock control metric to evaluate the forecast accuracy of different simple to more complex predictive analytical techniques. We show how traditional forecast error measures are inappropriate for inventory control, despite their consistent usage in many studies, by evaluating demand forecast performance dynamically with customer service level as a stock control metric that includes inventory holdings costs, stock out costs, and fill rate service levels. A second contribution …

The Value Of A Technical Service Bulletin Index For The Consumer, Robert J. Richardson

Communications of the IIMA

Automobile Technical Service Bulletin Index represents additional information pertaining on the quality of a vehicle. Currently, there is no way for the consumer to evaluate this large amount of information when buying a new car. A Technical Service Bulletin Index is developed as an aid to the consumer to better understand the quality issues related to thirty different car models. When compared to two major existing surveys, the J.D. Power Initial Quality Study and the J.D. Power Vehicle Dependability Study, the Technical Service Bulletin Index proved that it provides new, useful information about automobile quality for consumers to use when …

How To Create A Pivot Table And A Histogram, Harini Mittal

Open Educational Resources

This file gives instructions on how to create a pivot chart and histogram using excel sheet. The instructions have been adapted from the following textbook, but supplemented with screen shots for better understanding.

Anderson, Sweeney, Williams, Camm, Cochran, Fry and Ohlmann. Essentials of Statistics for Business & Economics, 9th Edition

How To Construct A Pie Chart, Harini Mittal

Open Educational Resources

This file provides step-by-step instructions on constructing a pie-chart using excel.

How To Construct A Bar Chart, Harini Mittal

Open Educational Resources

This file gives step-by-step instructions to construct a bar chart in excel.

How To Construct A Frequency Distribution For Non-Numeric Data, Harini Mittal

Open Educational Resources

This is a step-by-step instruction file with screenshots to help anyone construct a frequency distribution table with non-numeric data.

Advances In Global Services And Retail Management: Volume 2, Cihan Cobanoglu, Valentina Della Corte

University of South Florida (USF) M3 Publishing

This is the second volume of the Advances in Global Services and Retail Management Book Series. This volume has the following parts:

• Part 1: Hospitality and Tourism
• Part 2: Marketing, E-marketing, and Consumer Behavior
• Part 3: Management
• Part 4: Human Resources Management
• Part 5: Retail Management
• Part 6: Economics
• Part 7: Accounting and Finance
• Part 8: Sustainability and Environmental Issues
• Part 9: Information Technology

ISBN: 978-1-955833-03-5

Hospitality and Tourism

• Significance of VR in the spa: A spatial analysis
  • Irini Lai Fun Tang, Schultz Zhi Bin Xu, and Eric Chan
• Social media marketing in rural hospitality and tourism destination research
  • Samuel …

Contingency Planning Amidst A Pandemic, Natalie C. Belford

Journal of Cybersecurity Education, Research and Practice

Proper prior planning prevents pitifully poor performance: The purpose of this research is to address mitigation approaches - disaster recovery, contingency planning, and business continuity planning - and their benefits as they relate to university operations during a worldwide pandemic predicated by the novel coronavirus (COVID-19). The most relevant approach pertaining to the University’s needs and its response to the coronavirus pandemic will be determined and evaluated in detail.

Essays On Managerial Attributes And Corporate Finance, Juntai Lu

Graduate Theses and Dissertations

In my dissertation, I explore how managerial attributes affect corporate policies.

In my first essay, I examine the effects of public firm CEOs’ prior private equity (PE) target experiences on corporate policies. Based on difference-in-differences and propensity score matching analyses, public firm CEOs previously serving as CEOs in PE targets reduce investment by about 15 percent while enhancing patent values by over 7 percent after taking office compared to CEOs without such experiences. The effects are stronger if these CEOs (1) worked in targets invested by more reputable PE firms, (2) worked in targets invested by PE firms known for …

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 …

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

Open Educational Resources

No abstract provided.

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 …

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

Honors Theses and Capstones

No abstract provided.

Contingency Planning Amidst A Pandemic, Natalie C. Belford

KSU Proceedings on Cybersecurity Education, Research and Practice

Proper prior planning prevents pitifully poor performance: The purpose of this research is to address mitigation approaches - disaster recovery, contingency planning, and continuity planning - and their benefits as they relate to university operations during a worldwide pandemic predicated by the Novel Coronavirus (COVID-19). The most relevant approach pertaining to the University’s needs and its response to the Coronavirus pandemic will be determined and evaluated in detail.

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 …

A Predictive Analytics Model For Differentiating Between Transient Ischemic Attacks (Tia) And Its Mimics, Alia C. Stanciu, Mihai Banciu, Alireza Sadighi, Kyle A. Marshall, Neil Holland, Vida Abedi, Ramin Zand

Faculty Journal Articles

Transient ischemic attack (TIA) is a brief episode of neurological dysfunction resulting from cerebral ischemia not associated with permanent cerebral infarction. TIA is associated with high diagnostic errors because of the subjective nature of findings and the lack of clinical and imaging biomarkers. The goal of this study was to design and evaluate a novel multinomial classification model, based on a combination of feature selection mechanisms coupled with logistic regression, to predict the likelihood of TIA, TIA mimics, and minor stroke.

Shift-Share Analysis: South Carolina, 2005 - 2018, Randall Jackson, Péter Járosi

Shift Share Analyses

In County-level CIE Supply Chain Analysis, the second of five parts of An Economic Analysis 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.[1] 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 that are at greatest risk of further impact. …

Shift-Share Analysis: Virginia, 2005 - 2018, Randall Jackson, Péter Járosi

Shift Share Analyses

In County-level CIE Supply Chain Analysis, the second of five parts of n Economic Analysis 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.[1] 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 that are at greatest risk of further impact. …

Shift-Share Analysis: Ohio, 2005 - 2018, Randall Jackson, Péter Járosi

Shift Share Analyses

In County-level CIE Supply Chain Analysis, the second of five parts of An Economic Analysis 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.[1] 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 that are at greatest risk of further impact. …

Shift-Share Analysis: Tennessee, 2005 - 2018, Randall Jackson, Péter Járosi

Shift Share Analyses

In County-level CIE Supply Chain Analysis, the second of five parts o f An Economic Analysis 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.[1] 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 that are at greatest risk of further …

Shift-Share Analysis: West Virginia, 2005 - 2018, Randall Jackson, Péter Járosi

Shift Share Analyses

In County-level CIE Supply Chain Analysis, the second of five parts of An Economic Analysis 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.[1] 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 that are at greatest risk of further impact. …