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Showing 1 to 15 of 76 results Save | Export
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Jason M. Riley; Kevin Sweeney – Decision Sciences Journal of Innovative Education, 2024
Facility placement is of strategic importance to most organizations as a well-placed distribution center minimizes delivery costs and reduces fulfillment lead times, thus improving customer service levels. Because organizations value the location planning process, this teaching brief offers an exercise that analyzes the planning process using the…
Descriptors: Locational Skills (Social Studies), Teaching Methods, Facility Planning, Site Selection
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Sankaran, Siva; Sankaran, Kris; Bui, Tung – Decision Sciences Journal of Innovative Education, 2023
Applying Herzberg's motivation-hygiene theory, we studied the determinants of student satisfaction in using R in a Decision Support Systems course that previously used Excel to teach Data Mining and Business Analytics (DMBA). The course is a degree requirement, and prior programming experience is not a prerequisite. We hypothesized that motivators…
Descriptors: Data Analysis, Programming Languages, Student Attitudes, Computer Science Education
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Ammar, Salwa; Kim, Min Jung; Masoumi, Amir H.; Tomoiaga, Alin – Decision Sciences Journal of Innovative Education, 2023
Over the past few years, academics have undertaken initiatives to bridge the gap between theory and practice in the ever-growing field of business analytics, including implementing real-life student projects in all shapes and forms. Every year since 2015, Manhattan College has invited student teams from across North America and elsewhere in the…
Descriptors: Business, Data Analysis, Business Administration Education, Intercollegiate Cooperation
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Nikandish, Naser; Kim, Dayoung; Salvador, Rommel O. – Decision Sciences Journal of Innovative Education, 2023
To address the need for students to better comprehend process management concepts in an undergraduate-level operations management course, we proposed and examined the effectiveness of an experiential learning activity, the "Service Process Observation Exercise (SPOE)." After teaching process management topics in the form of a traditional…
Descriptors: Instructional Effectiveness, Observation, Field Experience Programs, Undergraduate Students
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Paul, Jomon A.; Sinha, Mona; Cochran, Justin D. – Decision Sciences Journal of Innovative Education, 2023
Critical thinking (CT) skills are essential to academic and professional success. Instruments to assess CT often rely on multiple-choice formats with inherent problems. This research presents two instruments for assessing CT, an essay and open-ended group-discussion format, which were implemented in an undergraduate business course at a large…
Descriptors: Critical Thinking, Measurement Techniques, Measures (Individuals), Undergraduate Students
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Fish, Lynn A. – Decision Sciences Journal of Innovative Education, 2023
This teaching brief describes an experiential project used in a graduate Principles of Management course for nonbusiness undergraduate students. Groups of four to six first-year MBA students interviewed a seasoned manager online twice over the 8-week course and discussed the applications of course material. Project subtopics included an…
Descriptors: Experiential Learning, Business Administration Education, Undergraduate Students, Masters Programs
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Kumi, Richard – Decision Sciences Journal of Innovative Education, 2023
Online courses frequently use discussion forums to enhance student engagement, an approach that is critical to fostering positive student learning outcomes. Because discussion forums are common in online classes, many instructors rely on summary statistics and self-reported measures to assess student engagement. However, these metrics overlook the…
Descriptors: Undergraduate Students, Discussion (Teaching Technique), Discussion Groups, Online Courses
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Johnson, Marina E.; Misra, Ram; Berenson, Mark – Decision Sciences Journal of Innovative Education, 2022
In the era of artificial intelligence (AI), big data (BD), and digital transformation (DT), analytics students should gain the ability to solve business problems by integrating various methods. This teaching brief illustrates how two such methods--Bayesian analysis and Markov chains--can be combined to enhance student learning using the Analytics…
Descriptors: Bayesian Statistics, Programming Languages, Artificial Intelligence, Data Analysis
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Strakos, Joshua K.; Brazhkin, Vitaly – Decision Sciences Journal of Innovative Education, 2022
Supply chain management students are introduced to a variety of modeling concepts. Yet learning facility location and capacity allocation modeling to the level of application and mastery proves difficult for the typical undergraduate business student. Spreadsheets facilitate the teaching of optimization modeling; however, providing feedback to…
Descriptors: Spreadsheets, Integrated Learning Systems, Business Administration Education, Models
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Chen, Yu; Albert, Leslie Jordan; Jensen, Scott – Decision Sciences Journal of Innovative Education, 2022
In the past few years, an increased use of artificial intelligence (AI) by businesses across a range of industries has led to greater demand for employees with AI skills. This raises the question of how educators can introduce AI technologies to undergraduate business students while also developing their higher-order thinking skills and preparing…
Descriptors: Artificial Intelligence, Introductory Courses, Management Information Systems, Business Administration Education
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Klein, Michael G.; Jackson, Peter L.; Mazereeuw, Miho – Decision Sciences Journal of Innovative Education, 2022
Effective disaster response requires time-critical decisions to get personnel and supplies to the right places as quickly as possible. Such operations are complicated by the need for coordination among multiple stakeholders. In this teaching brief, we describe a serious online game for humanitarian logistics courses called the "Disaster…
Descriptors: Social Values, Natural Disasters, Emergency Programs, Decision Making
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D'Souza, Derrick E.; Bement, Danuse; Cory, Kenneth – Decision Sciences Journal of Innovative Education, 2022
Practitioner surveys suggest that despite well-intentioned efforts, undergraduate business programs could better equip students with "soft skills." This research study focuses on the soft skills associated with cross-functional integration (CFI), where skill gaps are believed to exist but have not been confirmed. As the first study to…
Descriptors: Business Schools, Undergraduate Study, Business Administration Education, Soft Skills
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Merhi, Mohammad I.; Meisami, Alex – Decision Sciences Journal of Innovative Education, 2022
This study examines the factors that impact learners' satisfaction with web-based assessment platforms designed by publishers. The research model investigates the intermediate role of autonomy and competency from the self-determination theory. The data are collected from 324 undergraduate business students in a mid-western U.S. institution who…
Descriptors: Undergraduate Students, Student Satisfaction, Computer Assisted Testing, Web Based Instruction
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Scherpereel, Christopher M.; Williams, Susan K.; Hoefle, Scott – Decision Sciences Journal of Innovative Education, 2022
Studies show that learning is situated--or that learning in one context does not easily transfer to a new context. Because business simulations are often used to provide a learning context, we wondered if this context-specific learning would transfer. To explore this issue, we used situated learning theory to ask undergraduate students in an…
Descriptors: Learning Processes, Transfer of Training, Business Administration Education, Educational Games
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Tiahrt, Thomas; Hanus, Bartlomiej; Porter, Jason C. – Decision Sciences Journal of Innovative Education, 2022
Firms desire graduates capable of executing current and future business practices, many of which revolve around data. To meet those needs, we shifted the orientation of our required information systems course from technology to data. Instead of a survey of information systems, students learn the data acquisition-preparation-mining-presentation…
Descriptors: Information Systems, Information Science Education, Computer Software, Undergraduate Students
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