School: Business and Law

This unit information may be updated and amended immediately prior to semester. To ensure you have the correct outline, please check it again at the beginning of semester.

  • Unit Title

    Information, Contemporary Technologies and Decision Making
  • Unit Code

    MBA6030
  • Year

    2018
  • Enrolment Period

    2
  • Version

    3
  • Credit Points

    20
  • Full Year Unit

    N
  • Mode of Delivery

    On Campus
    Online
  • Unit Coordinator

    Dr Paul Danvers JACKSON

Description

In the contemporary business climate of hyper-competition, volatility and increasingly pervasive technologies, the demand for organisational agility and responsiveness accentuate the degree to which success is linked to managerial decision making: more decisions need to be made, at greater speed, with superior precision in order to achieve effective outcomes. This unit examines the different types of decisions that managers make, embedding these within a variety of business processes and contexts. We examine the role of technologies in providing and analysing this information, whether it is from transactional e-commerce applications, enterprise collaboration systems or customers via social media.

Learning Outcomes

On completion of this unit students should be able to:

  1. Analyse situations using decision-making models.
  2. Specify key contemporary information technologies relevant to decision-making.
  3. Formulate appropriate plans to implement decision-making technologies.
  4. Evaluate success factors in implementing decision-making technologies.

Unit Content

  1. Creating solutions for unstructured decisions (e.g. strategy).
  2. Types of decision and decision making, distortions, criteria for assessing decision-making approaches.
  3. Embedding decision making the business process.
  4. Managerial context of decision making, bounded rationality, cultural and national differences.
  5. Creating solutions for semi-structured decisions (e.g. product and service design).
  6. Creating solutions for structured data-driven decisions (e.g. operations).
  7. Social media crowdsourcing and customer involvement in decision making.
  8. Enterprise 2.0 - collaborative systems for decision making.
  9. Business intelligence and big data predictive and real-time analytics, dashboards and scorecards, Internet of Things.
  10. Business process analysis and definition.
  11. Business value of managerial decision making.
  12. Defining knowledge, information and data.

Learning Experience

Students will engage in learning experiences through ECU Blackboard as well as additional ECU learning technologies.

Additional Learning Experience Information

The unit will run on-campus and online.

On-campus students will attend a three hour seminar which may include computer work. Students will be expected to study materials from a variety of sources prior to the seminar and participate in class discussion during the seminar. Communication skills will be practised via written exercises, oral discussion and presentations. Study materials will be distributed via the online learning environment Blackboard.

The online environment for online students will mirror on-campus activities. External students will be required to post their activities on forums and review the work of others, just as on-campus students will do in class. They will be required to use social-media and record digital presentations for sharing with other students.

Students will be expected to research relevant issues of interest in their workplace and discuss them in class for their assignment portfolio. Teaching will be supported through industry representation and participation in order to analyse decision making issues and technologies from a real-world perspective. Industry leaders will feature as guest lecturers, enabling learners to make the connections between theory and practical application.

Assessment

GS1 GRADING SCHEMA 1 Used for standard coursework units

Students please note: The marks and grades received by students on assessments may be subject to further moderation. All marks and grades are to be considered provisional until endorsed by the relevant Board of Examiners.

ON CAMPUS
TypeDescriptionValue
PortfolioPersonal learning portfolio60%
AssignmentCase Study40%
ONLINE
TypeDescriptionValue
PortfolioPersonal learning portfolio60%
AssignmentCase Study40%

Disability Standards for Education (Commonwealth 2005)

For the purposes of considering a request for Reasonable Adjustments under the Disability Standards for Education (Commonwealth 2005), inherent requirements for this subject are articulated in the Unit Description, Learning Outcomes and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the support for students with disabilities or medical conditions can be found at the Access and Inclusion website.

Academic Misconduct

Edith Cowan University has firm rules governing academic misconduct and there are substantial penalties that can be applied to students who are found in breach of these rules. Academic misconduct includes, but is not limited to:

  • plagiarism;
  • unauthorised collaboration;
  • cheating in examinations;
  • theft of other students' work;

Additionally, any material submitted for assessment purposes must be work that has not been submitted previously, by any person, for any other unit at ECU or elsewhere.

The ECU rules and policies governing all academic activities, including misconduct, can be accessed through the ECU website.

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