Muhammad Usman Shafi, H. Khan, Tiyyabah Khan, W. Anwar, A. Akhter, Muhammad Zubair
{"title":"Farmers’ Perception of Plant Protection Practices and Management of Insect Pests of Rice in Lahore Division, Pakistan","authors":"Muhammad Usman Shafi, H. Khan, Tiyyabah Khan, W. Anwar, A. Akhter, Muhammad Zubair","doi":"10.17582/journal.jis/2023/9.1.132.143","DOIUrl":"https://doi.org/10.17582/journal.jis/2023/9.1.132.143","url":null,"abstract":"","PeriodicalId":46210,"journal":{"name":"Decision Sciences-Journal of Innovative Education","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85471447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The effectiveness of a field observation exercise to learn process management","authors":"Naser Nikandish, Dayoung Kim, Rommel O. Salvador","doi":"10.1111/dsji.12283","DOIUrl":"10.1111/dsji.12283","url":null,"abstract":"<p>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 <i>Service Process Observation Exercise (SPOE)</i>. After teaching process management topics in the form of a traditional lecture, students were offered the opportunity to observe, record, and analyze a live, functioning process and to report their findings. Analyzing exam results following the activity, we found that the students who participated in the SPOE scored 5.3% higher than students who did not participate on items measuring knowledge of process management concepts. No differences were found on items measuring the knowledge of other concepts covered in the course. These findings are robust, even after controlling for potential covariates, suggesting that the SPOE significantly improves student comprehension of concepts directly related to process management.</p>","PeriodicalId":46210,"journal":{"name":"Decision Sciences-Journal of Innovative Education","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2022-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44931326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jeffrey D. Camm, Gordon E. McCray, Michelle L. Roehm
{"title":"More than just charts and graphs: What to teach in a data visualization course","authors":"Jeffrey D. Camm, Gordon E. McCray, Michelle L. Roehm","doi":"10.1111/dsji.12282","DOIUrl":"10.1111/dsji.12282","url":null,"abstract":"<p>Based on our experience developing and delivering a highly successful data visualization course within a Master of Science in Business Analytics program, we present a taxonomy for data visualization courses and recommend content and pedagogical features for each type of data visualization course therein. We also discuss the interdependence between data visualization and business communication as a critical consideration in course design.</p>","PeriodicalId":46210,"journal":{"name":"Decision Sciences-Journal of Innovative Education","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2022-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41666750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Salwa Ammar, Min Jung Kim, Amir H. Masoumi, Alin Tomoiaga
{"title":"Business Analytics Competition (BAC@MC): A learning experience","authors":"Salwa Ammar, Min Jung Kim, Amir H. Masoumi, Alin Tomoiaga","doi":"10.1111/dsji.12281","DOIUrl":"10.1111/dsji.12281","url":null,"abstract":"<p>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 world to its campus in order to participate in an intercollegiate business analytics competition (BAC@MC). This well-received event and the objectives behind it are described in this article. The program is shown to serve as an effective experiential learning adventure for the undergraduate students as it hones their data analytic skills in the context of an engaging real-world business problem. The roles various stakeholders play in this high-impact practice are highlighted. Furthermore, an example of a recent competition question is presented (along with a summary of the analytical approaches attempted) by the student teams. Descriptive visualizations, regression, and cluster algorithms implemented using python, R, Excel, or Tableau are among the typical analyses utilized by participating students. As witnessed by the students, faculty advisors, and the industry practitioners who attended the event, competitions such as BAC@MC can be rewarding, community-building, and transformative experiences for undergraduate students who will soon become tomorrow's business analysts.</p>","PeriodicalId":46210,"journal":{"name":"Decision Sciences-Journal of Innovative Education","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48938667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Johannes Ulrich Siebert, Maxi Becker, Nadine Oeser
{"title":"Making a good career choice: A decision-analytical intervention to enhance proactive decision-making and career choice self-efficacy in high school students","authors":"Johannes Ulrich Siebert, Maxi Becker, Nadine Oeser","doi":"10.1111/dsji.12280","DOIUrl":"10.1111/dsji.12280","url":null,"abstract":"<div>\u0000 \u0000 <p>At the end of high school, teenagers must deal with the first life-changing decision of determining what to do after graduation. For these decisions, adolescents need to be able to make good choices. However, most schools have not yet implemented decision trainings into their curricula. A new intervention called “<i>KLUGentscheiden</i>!” was developed to train complex decision-making in high school students to close this gap. The intervention targets three key components of good decision-making: envisioning one's objectives, identifying relevant alternatives, and comparing the identified alternatives by a weighted evaluation. We assumed that successfully training those decision-analytical steps should enhance self-perceived proactive decision-making skills. In addition, the training should also enhance self-assessed career choice self-efficacy. The intervention was evaluated in a pseudorandomized control study including 193 high school students. Compared to a control group, the intervention group significantly increased proactive decision-making skills and career choice self-efficacy. Although different long-term evaluations are still pending, the <i>KLUGentscheiden!</i> intervention provides an important tool to train complex decision-making in high-school students. It also has the potential to apply to other career choices of young individuals, such as choosing majors, a final thesis, a job, or a field of work.</p>\u0000 </div>","PeriodicalId":46210,"journal":{"name":"Decision Sciences-Journal of Innovative Education","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2022-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44303760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"DSJIE: Reflections on the past and a look to the future","authors":"Vijay R. Kannan","doi":"10.1111/dsji.12279","DOIUrl":"10.1111/dsji.12279","url":null,"abstract":"<div>\u0000 \u0000 <p>As the <i>Decision Sciences Journal of Innovative Education</i> embarks on its third decade, a former editor reflects on the first two decades and offers thoughts on the future of the journal and decision sciences education.</p>\u0000 </div>","PeriodicalId":46210,"journal":{"name":"Decision Sciences-Journal of Innovative Education","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2022-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47345814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Improvement of Learning Outcomes in Data Analytics and Statistics","authors":"Trevor S. Hale, Susan W. Palocsay","doi":"10.1111/dsji.12278","DOIUrl":"10.1111/dsji.12278","url":null,"abstract":"","PeriodicalId":46210,"journal":{"name":"Decision Sciences-Journal of Innovative Education","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43087940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Risk attitude assessment using roulette and a supply chain simulation","authors":"Ryan Atkins, Matthew Drake","doi":"10.1111/dsji.12276","DOIUrl":"10.1111/dsji.12276","url":null,"abstract":"<div>\u0000 \u0000 <p>Many topics that are taught in supply chain management (SCM) programs include elements of variability and risk. With quantitative tools in particular, it is assumed that the decision makers using the tools are risk neutral, which is typically not the case in real-life decision situations. The topic of an individual's attitude toward risk has received limited attention in SCM literature and is not a high-profile topic in SCM textbooks. The teaching exercise presented in this paper uses two games—roulette and a SCM simulation—to provide students with an assessment of their own attitude toward risk, and in doing so, facilitates a classroom discussion of risk and risk attitude. These games were developed by the authors and can be played either within Excel or a web application.</p>\u0000 </div>","PeriodicalId":46210,"journal":{"name":"Decision Sciences-Journal of Innovative Education","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2022-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43491200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Introducing business analytics in context: An Excel project to analyze product and sales data for inventory purchase decisions","authors":"Richard T. Grenci","doi":"10.1111/dsji.12277","DOIUrl":"10.1111/dsji.12277","url":null,"abstract":"<p>This article presents a project that uses a business context to introduce students to a multiphase approach to analytics while relying primarily on an introductory Excel course for prerequisite knowledge. A range of analytics techniques—including Excel Pivot tables and charts, regression trend lines, and linear programming—are combined into an integrative project. Using a customer orders database, student groups took on the role of category management teams assigned to analyze product sales, pricing, and costs to create an optimized purchase plan to replenish inventory. The instructor-guided project was employed in a sophomore-level introductory business intelligence course positioned within an undergraduate business core curriculum. Based on the context and level, such a project could be used in a business core course such as fundamentals of business, marketing, operations/supply chain management, information systems, or business analytics.</p>","PeriodicalId":46210,"journal":{"name":"Decision Sciences-Journal of Innovative Education","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2022-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/dsji.12277","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46289882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Teaching binary logistic regression modeling in an introductory business analytics course","authors":"Viet-Ngu Hoang, Justin Watson","doi":"10.1111/dsji.12274","DOIUrl":"10.1111/dsji.12274","url":null,"abstract":"<p>There is an increasing demand to introduce Introductory Business Analytics (IBA) courses into undergraduate business education. Many real-world business contexts require predictive analytics to understand the determinants of a dichotomous outcome; hence, IBA courses should include binary logistic regression analysis. This article provides our reflective discussions on the design of learning activities and assessments to assist business students in learning binary logistic regression in an IBA course. Data on student engagement and learning outcomes are used to shed light on the impacts of teaching logistic regression on student learning and experience. Notably, students opt to focus their assessment work more on logistic regression than on multiple regression analysis, showing the potential attraction of students toward binary logistic regression analysis. We also observed several challenges, mainly related to the use of Excel, that require special attention from instructors.</p>","PeriodicalId":46210,"journal":{"name":"Decision Sciences-Journal of Innovative Education","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2022-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/dsji.12274","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41253564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}