2018
DOI: 10.1016/j.ijme.2018.09.001
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Surveying industry advisors to select data analytics topics for all business majors

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Cited by 13 publications
(9 citation statements)
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“…Introducing data science methods at the doctoral level could face issues similar to those faced at lower degree levels, like lack of motivation to engage with quantitative methods or limited background in statistics and programming. Still, the fundamental difference is in the range of applications and motivations for learning: taught courses focus on employability and practice, while doctoral courses focus on research and academic development [9].…”
Section: Data Science Competencies In Research Trainingmentioning
confidence: 99%
“…Introducing data science methods at the doctoral level could face issues similar to those faced at lower degree levels, like lack of motivation to engage with quantitative methods or limited background in statistics and programming. Still, the fundamental difference is in the range of applications and motivations for learning: taught courses focus on employability and practice, while doctoral courses focus on research and academic development [9].…”
Section: Data Science Competencies In Research Trainingmentioning
confidence: 99%
“…In summary, current business data analytics course still stays in its early stage, with insufficient commonly accepted model and inappropriate pedagogical design [6]. Instead of adding more courses, incorporating VATs is to revise existing courses to include learning objectives that are necessary for a business student to be data competent [4]. We advocate that bringing these VATs into business learning gains benefit for students in aligning up-to-date business analytics to business learning in big data era and in fostering problem-solving ability and higher-order thinking.…”
Section: Implications and Research Agendamentioning
confidence: 99%
“…By responding to the need of improving data analytic competencies in the business eld, the Association to Advanced Collegiate Schools of Business (AACSB) international is currently encouraging big data analytic education and this leads to most universities seek to include data analytics into the business curriculum [4]. For example, Zhao and Zhao, S. [5] explored that 68.80% among 215 ACCSB-accredited business schools launch business data analytic programs at varied academic levels (i.e., Bachelor's, Master's, MBA, and PhD) to prepare students to satisfy the market needs for business analytic professionals.…”
Section: Introductionmentioning
confidence: 99%
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“…Grant, Malloy, and Murphy (2009) noting that within business IT abilities are as "customary as pen and paper" (p.145). It is clear that the most common IT ability associated with mathematics is spreadsheet use and preferred over specialist statistics software (Pan et al, 2018;Brennan & Vos, 2013;Johnson, 2012).…”
Section: Introductionmentioning
confidence: 99%