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dc.contributor.advisorMusvoto, S.W.en_US
dc.contributor.authorTakaidza, I.en_US
dc.date.accessioned2021-09-16T05:50:55Z
dc.date.available2021-09-16T05:50:55Z
dc.date.issued2021en_US
dc.identifier.urihttps://orcid.org/0000-0002-7023-9776en_US
dc.identifier.urihttp://hdl.handle.net/10394/37471
dc.descriptionMBA, North-West University, Potchefstroom Campus
dc.description.abstractAs companies compete, in any business sector, the interactions affect the availability of resources needed for their growth. The question of whether one business entity dominates the industry or grows only to a limited extent often arises. In this study, we adopted and adapted the Lotka-Volterra model of predator-prey dynamics to investigate competition between business corporations. The formulated model was applied to existing market share and stock exchange share prices data to analyse the relationships between pairs of companies from the same industry. Numerical techniques were employed in the estimation of model parameters. Empirical studies focused on corporations from three different business sectors. The results reveal different relationships, namely mutualistic, purely competitive and predator-prey. It is necessary to develop an application methodology to mitigate the raw data which may be a compound signal which includes competition, seasonal and trend signals.
dc.language.isoenen_US
dc.publisherNorth-West University (South Africa)en_US
dc.subjectPredator-prey
dc.subjectcompetition
dc.subjectmathematical modelling
dc.subjectLotka-Volterra
dc.subjectmarket share
dc.titleAssessing predator-prey model(s) for competing corporationsen_US
dc.typeThesisen_US
dc.description.thesistypeMastersen_US
dc.contributor.researchID22838082 - Musvoto, Saratiel Wedzerai (Supervisor)en_US


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