Business Commons^™

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 …

Twitter Analysis Based On Damage Detection And Geoparsing For Event Mapping Management, Yasmeen Ali, Khaled Bahnasy, Adel El-Mahdy

Future Computing and Informatics Journal

Background: Early event detection, monitor, and response can significantly decrease the impact of disasters. Lately, the usage of social media for detecting events has displayed hopeful results. Objectives: for event detection and mapping; the tweets will locate and monitor them on a map. This new approach uses grouped geoparsing then scoring for each tweet based on three spatial indicators. Method/Approach: Our approach uses a geoparsing technique to match a location in tweets to geographic locations of multiple-events tweets in Egypt country, administrative subdivision. Thus, additional geographic information acquired from the tweet itself to detect the actual locations that …

Applying The Data: Predictive Analytics In Sport, Anthony Teeter, Margo Bergman

Access*: Interdisciplinary Journal of Student Research and Scholarship

The history of wagering predictions and their impact on wide reaching disciplines such as statistics and economics dates to at least the 1700’s, if not before. Predicting the outcomes of sports is a multibillion-dollar business that capitalizes on these tools but is in constant development with the addition of big data analytics methods. Sportsline.com, a popular website for fantasy sports leagues, provides odds predictions in multiple sports, produces proprietary computer models of both winning and losing teams, and provides specific point estimates. To test likely candidates for inclusion in these prediction algorithms, the authors developed a computer model, and test …

Scholarly Pursuits: Nationally Recognized Health Expert Tony Losasso Returns To Depaul

Business Exchange

DePaul business school alumnus Tony LoSasso returned to his alma mater to launch a DePaul MBA concentration in health care markets and analytics. He is nationally recognized expert in health economics, LoSasso teaches graduate and undergraduate health economics courses. His award-winning research spans several dimensions of health and labor economics, health policy and health services.

Automated Interactive 3d Geospatial Data Assimilation, Formatting And Visualization System For Development Of Subsurface Conceptual Site Models, Aaron Cattley, Gavin Hudgeons, Bruce Lee

SMU Data Science Review

The natural evolution of the collection and storage of sub- surface data in Texas has resulted in the current state where data for certain resources, such as water resources, have not been assimilated with state oil and gas and injection data in a meaningful way that allows for rapid understanding and data analysis for a physical land site. The consequences that result due to data from different spheres not being in sync are often duplication of work being performed but not in a consistent manner. However, the reality is that the infrastructure and impacts of these sectors are deeply intertwined. …

The Nba Restart: A Numbers Game, Nathan L. Clark

Marriott Student Review

This paper examines how the NBA plans to overcome the risks of returning to play during a global pandemic by analyzing data from medical devices that monitor player health, perform contact tracing, and promote social distancing.

News Versus Market Sentiments, Jazib Ansari, Danish Ahmed Siddiqui Dr

The Journal of Entrepreneurial Finance

This paper investigates the impact of monetary policy announcements on the performance of the stock market in twenty countries (10 Developed and 10 developing). Exchange rate changes and changes in bond yield were taken as control. Daily basis Panel data was used with daily frequency for five (5) years (2014 – 2018). An impact of these selected independent variables on the stock market index is estimated using the regression model and Panel Least Square model. Monetary policy data has been run in three different lags i.e. lag (0), lag (-1, -2, -3, -4), and lag (1, 2, 3, 4) in …

An Analysis Of Key Factors Influencing Integration Of Blockchain Into Shipping Companies In Taiwan, Tien-Chun Ho, Chien-Lung Hsu

Journal of Marine Science and Technology

The impact of blockchain technology in many industries has changed lives of people. With the advent of blockchain technology, digitizing shipping processes will become a critical element in the evolution of traditional shipping toward a continuous, intelligent, and highly efficient shipping system. Therefore, this research explores key influencing factors affecting the application of blockchain technology from the standpoint of shipping companies in Taiwan. The importance of the key factors was analyzed from survey questionnaires structured on BOCR (Benefits, Opportunities, Costs, and Risks) and the Fuzzy Analytical Hierarchy Process (Fuzzy AHP). Rooted in the results, the most important evaluation criteria are …

Developing An On-Campus Creative Economy Clinic To Elevate The Quality Of Existing Community Service Program, Andri Zainal, T. Citra Nisa Farza, Khairunnisa Harahap, Pasca Dwi Putra

ASEAN Journal of Community Engagement

The ongoing community service program has not provided optimal and sustainable outcomes that can improve the creative economy sector as a partner, especially in the era of technological disruption. This study describes the importance of setting up a creative economy clinic at the university, which is based on the needs of upscaling local micro, small, and medium enterprises (MSMEs’) performance. The discussions presented in the paper arise from a qualitative conceptual study using an instrumental case study approach, linking insights from theoretical perspectives and works across disciplines that concern the development of a creative economy clinic. The results of the …

College News

Business Exchange

Thomas Donley Appointed Business College Interim Dean; Coming Soon: Revised MBA, New Graduate Degrees; In Memoriam: Robert O'Keefe

Qlime-A Quadratic Local Interpretable Model-Agnostic Explanation Approach, Steven Bramhall, Hayley Horn, Michael Tieu, Nibhrat Lohia

SMU Data Science Review

In this paper, we introduce a proof of concept that addresses the assumption and limitation of linear local boundaries by Local Interpretable Model-Agnostic Explanations (LIME), a popular technique used to add interpretability and explainability to black box models. LIME is a versatile explainer capable of handling different types of data and models. At the local level, LIME creates a linear relationship for a given prediction through generated sample points to present feature importance. We redefine the linear relationships presented by LIME as quadratic relationships and expand its flexibility in non-linear cases and improve the accuracy of feature interpretations. We coin …

2020 Ijbe Front Matter

International Journal for Business Education

1. Editorial Board
2. Letter from International President
3. SIEC-ISBE International

Leveraging Legal Analytics And Spend Data As A Law Firm Self-Governance Tool, Nancy B. Rapoport, Joseph R. Tiano Jr.

The Journal of Business, Entrepreneurship & the Law

Our essay has five parts: (i) a discussion of how external forces are reshaping the economics of today’s legal industry; (ii) examples of the types of decisions that tend to drive up the cost of bills in contravention of ethical duties; (iii) a discussion of possible reasons for those decisions (including a short discussion of social science explanations); (iv) a description of how attorneys can use data analytics tools to self-govern how they staff, deliver and bill for their legal services; and (v) recommendations for how both clients and law firms can benefit from proactively managing, on the front end, …

The Tragedy And Reliability Of Zambian Trade Data, Dale Mudenda, Maio Bulawayo, Manenga Ndulo

Zambia Social Science Journal

Trade is an essential engine of growth and poverty reduction. Yet trade data suffers from poor quality and inconsistencies. There are several reasons for this: trade data is collected with little coordination between the reporting agencies and the central statistical offices, inadequate resources located to the data gathering agencies undermines archival process of good data, normal statistical errors of measurement and observation, and various complexities associated with international trade such as trade misinvoicing. This study explored the poor quality and inconsistencies in Zambian trade data which might render efforts at policy formulation to boost intra-regional trade and resolve issues of …

Machine Learning Stock Market Prediction Studies: Review And Research Directions, Troy J. Strader, John J. Rozycki, Thomas H. Root, Yu-Hsiang John Huang

Journal of International Technology and Information Management

Stock market investment strategies are complex and rely on an evaluation of vast amounts of data. In recent years, machine learning techniques have increasingly been examined to assess whether they can improve market forecasting when compared with traditional approaches. The objective for this study is to identify directions for future machine learning stock market prediction research based upon a review of current literature. A systematic literature review methodology is used to identify relevant peer-reviewed journal articles from the past twenty years and categorize studies that have similar methods and contexts. Four categories emerge: artificial neural network studies, support vector machine …

To Close The Skills Gap, Technology And Higher-Order Thinking Skills Must Go Hand In Hand, Manying Qiu, Yaquan Xu, Emmanuel O. Omojokun

Journal of International Technology and Information Management

Technology is rapidly changing the business landscape. Workforce skills gap is widening in the digital business environment. Universities and employers call for developing students’ higher-order thinking skills along with integrating technology into academic curricula. We conducted a survey to assess learning outcomes from two groups of undergraduate students: business majors and information technology (IT) majors. SAP ERP hands-on case studies were used for this comparative experiment. The student survey results showed that the students of both majors believed that learning SAP software can lead to more rewarding jobs and they felt confident about their competitiveness in the job market. Although …

Efficiency Analysis Of A Congested Brazilian Airport Applying Slots Optimization Control: Congonhas Airport Case, Mariana Franco B. Mendes, Rafael Roco De Araujo, Ana Paula Beck Da Silva Etges, Massoud Bazargan

International Journal of Aviation, Aeronautics, and Aerospace

The current slot allocation mechanism in Brazil, based on the International Air Transport Association (IATA) rules, and its supplementary local regulation The National Civil Aviation Agency (ANAC), displays a few issues and limitations (e.g. slot misuse, allocation inefficiencies). Such issues are particularly present in the case of busy airports that works near their maximum capacity for major parts of the day. This inefficiency problem is generated because of the complexity of slot allocation added to the limited decision support available for the Brazilian system. This study focuses on the implementation of an optimal slot model, based on IATA regulations with …