Thesis (Ph. D.)--Ohio State University, 1983. / Includes bibliographical references (leaves 167-171). Available online via OhioLINK's ETD Center.

Thesis (M.A.)--University of Florida, 2006. / Title from title page of source document. Document formatted into pages; contains 174 pages. Includes vita. Includes bibliographical references.

Thesis (Ph. D.)--University of Missouri-Columbia, 1996. / Typescript. Vita. Includes bibliographical references (leaves 245-249). Also available on the Internet.

Thesis (Ph. D.)--University of Missouri-Columbia, 1996. / Typescript. Vita. Includes bibliographical references (leaves 245-249). Also available on the Internet.

Thesis (Ph.D.) - University of Queensland, 2003. / Includes bibliography.

M.Com. (Industrial Psychology) / A qualitative study was conducted utilising the repertory grid technique to identify personal constructs. From the personal constructs mental models emerged which provided an indication of the management paradigm of each participant. The study consisted of eight participants that were based on wine farms in the Western Cape. Following the labour unrest on the wine farms a study was conducted to determine whether the farmers are functioning within the emerging paradigm of management. It is suggested that a new paradigm of management is emerging which is critical for the sustainability of organisations. The paradigm of sustainability consists of three broad areas namely: financial, environmental and social sustainability. These three areas have to be present within the organisation for it to be sustainable. The results of the study indicate that the paradigm within which the farmers manage their farms are not aligned with the emerging paradigm. There are areas that correspond and other critical areas that do not.

Inventory management in the agriculture industry involves many sources of risk in terms of demand uncertainty as well as uncertain margins. Divulging an optimal inventory strategy can prove cumbersome to logistics managers. In this thesis, inventory is viewed as a real option on the ability to operate. Contingent claims inventory (CCI) analysis, paired with stochastic binomial real option valuation, provides a model which values the real option embedded in holding inventory and iterates the purchasing strategy until expected profit is maximized. This framework is applied to three industry cases pertaining to: wheat flour milling, fertilizer merchandising, and bulk shipments via primary rail contracts.

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