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BX2174 - Evidence Based Business Decision-Making

Credit points: 3
Year: 2023
Student Contribution Band: Band 4
Administered by: College of Business, Law & Governance

A superior ability to collect, process, and interpret information for decision making is a major source of competitive advantage in the business marketplace. The focus of this subject is to develop knowledge and basic skills of business research concepts and methods. Specific topics include the role of information systems, knowledge management, formulation of the research problem, research design and methods including qualitative and quantitative approaches, data collection, data analysis and the interpretation and use of research results. Students gain a view of business research from the buyer's and seller's perspectives and an understanding of the code of practice which regulates business market research activities.

Learning Outcomes

  • explain the critical importance of research for superior business performance;
  • analyse a business situation, formulate a research problem and devise an appropriate research design;
  • analyse data using basic qualitative and quantitative methods;
  • interpret findings in a manner that facilitates business decision making;
  • explain basic data collection methods, outline when the method is most suited, and evaluate the related strengths and limitations of each method in a business context; and demonstrate effective written communication skills.

Subject Assessment

  • Written > Literature review - (30%) - Individual
  • Performance/Practice/Product > Multimedia production - (40%) - Group & Individual
  • Written > Critical Analysis - (30%) - Individual.
Prerequisites: BU1007 OR BU1807 OR BU1010 OR MA1401 OR PY2103 AND 9 CP OF BU AND BX SUBJECTS
Inadmissible
Subject
Combinations:
BU2010 MG2706 TO2015 TO5015

Availabilities

Cairns, Trimester 3, Internal
Census Date 05-Oct-2023
Coord/Lect: Dr Leonie Cassidy.
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 10 hours tutorials - Synthesising sessions
  • 20 hours workshops
  • 10 hours online activity - Recordings, online activities and self-directed learning
  • assessment and self-directed study

JCU Brisbane, Trimester 1, Internal
Census Date 09-Mar-2023
Coordinator: Dr Leonie Cassidy
Lecturer: Mr Max Boudan.
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 20 hours lectures
  • 10 hours tutorials - Synthesising session
  • 10 hours online activity - Recordings, online activities & self-directed learning
  • assessment and self-directed study

JCU Brisbane, Trimester 2, Internal
Census Date 22-Jun-2023
Coordinator: Dr Leonie Cassidy
Lecturer: Mr Max Boudan.
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 20 hours lectures
  • 10 hours tutorials - Synthesising session
  • 10 hours online activity - Recordings, online activities & self-directed learning
  • assessment and self-directed study

JCU Brisbane, Trimester 3, Internal
Census Date 05-Oct-2023
Coordinator: Dr Leonie Cassidy
Lecturer: Mr Max Boudan.
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 20 hours lectures
  • 10 hours tutorials - Synthesising session
  • 10 hours online activity - Recordings, online activities & self-directed learning
  • assessment and self-directed study

JCU Singapore, Study Period 52, Internal
Census Date 03-Aug-2023
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 20 hours lectures - may include recorded presentations, online activities & self-learning activities inclusive of lectures, via LearnJCU
  • 20 hours tutorials - may include recorded presentations, online activities & self-learning activities inclusive of synthesising sessions, via LearnJCU
  • assessment and self-directed study

JCU Singapore, Study Period 53, Internal
Census Date 30-Nov-2023
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 20 hours lectures - may include recorded presentations, online activities & self-learning activities inclusive of lectures, via LearnJCU
  • 20 hours tutorials - may include recorded presentations, online activities & self-learning activities inclusive of synthesising sessions, via LearnJCU
  • assessment and self-directed study

Townsville, Trimester 3, Internal
Census Date 05-Oct-2023
Coordinator: Dr Leonie Cassidy
Lecturer: Dr Janice Scarinci.
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 10 hours tutorials - Synthesising sessions
  • 20 hours workshops
  • 10 hours online activity - Recordings, online activities and self-directed learning
  • assessment and self-directed study

Trimester 3, External
Census Date 05-Oct-2023
Coord/Lect: Dr Leonie Cassidy.
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 30 hours online activity - Recordings, online activities and self-directed learning
  • 10 hours online Tutorials - Online Collaborate sessions
  • assessment and self-directed study
Method of Delivery: WWW - LearnJCU

Note: Minor variations might occur due to the continuous Subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.