GENERIC EARLY WARNING SIGNALS FOR CRITICAL TRANSITIONS: An assessment of the signals’ utility as a predictive management tool through an application on the undergraduate distance student’s program withdrawal problem

2018-06

Name thesis:degree_name

Doctor of Business Administration (DBA)

Level thesis:degree_level

doctoral

Discipline thesis:degree_discipline

Faculty of Business

Grantor dc:publisher

Athabasca University

Year dc:date

2018

Author dc:creator

• Houry, Sami A.

Contributors dc:contributor

• Jensen, Tilly (Faculty of Business, Athabasca University)
• Foo, Merlyn (Faculty of Business, Athabasca University)
• Elloumi, Fathi (Faculty of Business, Athabasca University)
• Vibert, Conor (Acadia University)

• Complexity
• Complex adaptive systems
• Chaos theory
• Early warning signals
• Fractals
• Critical transitions
• Bifurcation
• Student withdrawal
• Dropout
• Distance education
• Intervention points
• Self organizing system

Identifier

TC-AEAU-245

OAI record oai:identifier

https://dt.athabascau.ca/oai/request?verb=GetRecord&metadataPrefix=oai_etdms&identifier=oai%3Adt.athabascau.ca%3A10791%2F245