Moderating Effect of Environment on Software Piracy: Exploring Determinants of Softlifting Attitude and Intention

Software piracy is a persistent and serious problem. In recent years, progress has been made to reduce software piracy. However, computer software is greatly susceptible to theft and market influences have recently contributed to a staggering $48 billion worldwide loss due to piracy (BSA, 2008). This paper outlines research in progress that will provide insight into software piracy attitude and intention. The purpose of the research is to investigate the moderating effect of environment on the relationship between behavioral beliefs and attitudes toward softlifting (i.e. the illegal duplication of copyrighted software by individuals) in three unique settings work, home, and school. This study promises to make several important contributions. The work should demonstrate the importance of including environment in theoretical models of the antecedents that influence softlifting attitude and intention. Results may also prove helpful to information systems professionals and educators in implementing measures to discourage software piracy

Integrating Data Cleansing With Popular Culture: A Novel SQL Character Data Tutorial

Big data and data science have experienced unprecedented growth in recent years.  The big data market continues to exhibit strong momentum as countless businesses transform into data-driven companies. From salary surges to incredible growth in the number of positions, data science is one of the hottest areas in the job market. Significant demand and limited supply of professionals with data competencies has greatly affected the hiring market and this demand/supply imbalance will likely continue in the future. A major key in supplying the market with qualified big data professionals, is bridging the gap from traditional Information Systems (IS) learning outcomes to those outcomes requisite in this emerging field. The purpose of this paper is to share an SQL Character Data Tutorial.  Utilizing the 5E Instructional Model, this tutorial helps students (a) become familiar with SQL code, (b) learn when and how to use SQL string functions, (c) understand and apply the concept of data cleansing, (d) gain problem solving skills in the context of typical string manipulations, and (e) gain an understanding of typical needs related to string queries. The tutorial utilizes common, recognizable quotes from popular culture to engage students in the learning process and enhance understanding. This tutorial should prove helpful to educators who seek to provide a rigorous, practical, and relevant big data experience in their courses

Business Intelligence, Analytics And Data Visualization: A Heat Map Project Tutorial

Business intelligence and analytics (BI&A) initiatives are helping countless organizations harness and interpret the vast amount of information available in the world today. The explosion of BI&A in industry has fueled the high demand for knowledge workers with advanced analytical skills. The purpose of this paper is to introduce a data visualization project tutorial for Information Systems (IS) education. The applied BI&A tutorial was designed to help students learn how to create and analyze a heat map using SQL Server Data Tools (SSDT) and SQL Server Reporting Services (SSRS). Students learn how to make decisions based on large amounts of data by presenting it in visual form. This tutorial exposes students to the decision-making power derived from data visualization. Utilizing the 5E Instructional Model, the tutorial assists in the development of BI&A professionals who can quickly make sense of mass amounts of data, identify trends buried within data sets, and are skilled in making sound decisions that add value to organizations

Combining Business Intelligence And Stock Market Data: A Primer For Data Analytics And Business Intelligence

Business Intelligence (BI) has become indispensible to modern business decision-making. Organizations rely on BI to interpret the mass amounts of data circulating throughout the world. However, integration of BI into university business programs does not parallel industry demands. The purpose of this paper is to introduce an innovative business intelligence project tutorial for Information Systems (IS) education. The applied tutorial was designed to help students learn how to design and publish a report using SQL Server Reporting Services to analyze current stock market data. This tutorial exposes students to the decision-making power derived from raw data analysis and assists in development of business professionals who can maximize profitability through effective use of business intelligence

Examining Learning Styles and Perceived Benefits of Analogical Problem Construction on SQL Knowledge Acquisition

The demand for Information Systems (IS) graduates with expertise in Structured Query Language (SQL) and database management is vast and projected to increase as ‘big data’ becomes ubiquitous. To prepare students to solve complex problems in a data-driven world, educators must explore instructional strategies to help link prior knowledge to new knowledge. This study examined learning styles and the perceived benefits of analogical problem construction on SQL knowledge acquisition. The data collected from 80 participants suggests there is a perceived positive benefit to using analogical problem construction for learning introductory database concepts. The learning style of the majority of students in the sample is ‘Active-Sensing-Visual-Sequential.’ However, learning styles were not related to student perceived impact of analogical problem construction to understand database concepts. Student analogies were collected for a variety of SQL concepts; noteworthy examples are highlighted. While results related to learning styles are intriguing, the most promising path for further exploration (for both research and practice) is the use of analogy problem construction in Information Systems educational environments

THE DEVELOPMENT OF PROCEDURES AND POLICIES FOR UNDERGRADUATE HYBRID COURSES: A COMPARISON STUDY

ABSTRAC

Teaching Tip: Using SQL to Create and Mine Large, Customizable Datasets

The SQL-Explore Learning Module detailed in this teaching tip provides an opportunity for students to apply database course knowledge beyond solving traditional pre-determined Structured Query Language (SQL) coding questions. In this unique constructivist activity using the apropos 5E Instructional Model, students explore tables to locate data anomalies, trends, and other key findings in a 100,000-invoice dataset. Detailed instructions and the source code needed to facilitate this innovative learning experience are included. Based on student feedback, 100% of study participants strongly agree or somewhat agree that exploring datasets through the SQL-Explore Activity enhances their knowledge of SQL

Examining Trends in Business Analytics Education From 2011 to 2020 in AACSB-Accredited Information Systems Programs

The demand for graduates with coursework in business/data analytics continues to grow, and many career rankings list these skills among the top in demand by industry. This study examines trends in how Information Systems (IS) academic departments have adapted to this demand by incorporating business analytics in their departmental naming conventions, majors, minors, concentrations, and course curriculum. Based on sample data of 127 AACSB-accredited schools, only one school (\u3c1%) in 2011 included analytics in its department name. By 2018, this number grew to 8% and then to 13% in 2020. Further, in 2018, 28% of our sample offered majors or concentrations in analytics. Just two years later, this number had risen to 61%. This research provides benchmarking guidance to IS faculty and administrators who are considering a shift to incorporate analytics into their degree offerings