https://www.ajol.info/index.php/zjst/issue/feedZimbabwe Journal of Science and Technology2024-06-11T11:29:30+00:00Mr I.M. Dabengwaisrael.dabengwa@nust.ac.zwOpen Journal Systems<p style="text-align: justify;"><span lang="EN-ZW"><em>Zimbabwe Journal of Science and Technology</em> publishes papers in the broad field of basic and applied sciences, engineering and technology including, but not limited to the following areas:</span></p> <p style="text-align: justify;"><span lang="EN-ZW">Biochemistry and Biotechnology, Biomedical Engineering, Civil and Water Engineering, Climate Change and Global Warming, Chemical Engineering, Clinical Sciences, Computing Sciences, Electrical, Electronic Engineering, Industrial and Manufacturing Engineering, Mathematics, Materials Engineering, Mechatronics Engineering, Environmental Science and Pollution, Food Sciences, Molecular Genetics, Physics and Sports Science.</span></p> <p style="text-align: justify;"><span lang="EN-ZW">You can see this journal's own website <a href="https://intranet.nust.ac.zw/zjst/" target="_blank" rel="noopener">here</a> and <a href="https://journals.nust.ac.zw/index.php/zjst/index" target="_blank" rel="noopener">here</a>.</span></p>https://www.ajol.info/index.php/zjst/article/view/271920Agility as a strategy in Zimbabwean manufacturing industries2024-06-11T11:12:54+00:00Takudzwa Muhlatakudzwa.muhla@nust.ac.zwInnocent Mapindutakudzwa.muhla@nust.ac.zwMargret Munyautakudzwa.muhla@nust.ac.zwDestine Mashava Samson Mhlangatakudzwa.muhla@nust.ac.zwWilliam Goriwondotakudzwa.muhla@nust.ac.zw<p>Customer needs as well as requirements are always in a continuous state of flux and more often than not, Manufacturing Companies find themselves in a quandary as they try to meet these. The inherent ability of Manufacturing Companies to meet the ever-changing customer requirements is key in ensuring that they are able to gain a competitive advantage over their counterparts as well as succeed in this highly volatile market. The advent of the COVID-19 pandemic as well as its noticeably widespread effects also brought about disruptive effects within an already turbulent environment as the Zimbabwean Manufacturing Sector was not spared the scourge of the pandemic. The organizations thus have to gain resilience so as to be able to thrive as well as grow competitively within their sector. The purpose of this paper was to assess how applicable the Agile Strategy is within the Zimbabwean Manufacturing sector as well as to come up with effective methods by which the strategy could be adopted by more organizations within the sector. The key drivers to the implementation of the strategy within these sectors as well as challenges associated with the implementation were also reviewed in depth.</p>2024-06-11T00:00:00+00:00Copyright (c) 2024 Zimbabwe Journal of Science and Technologyhttps://www.ajol.info/index.php/zjst/article/view/271921Determinants of house prices using spatial analysis: the case for Bulawayo2024-06-11T11:22:23+00:00Ndava Constantine Mupondoconstantine.mupondo@nust.ac.zwBukhosi Ncubeconstantine.mupondo@nust.ac.zwAbigail Mupondoconstantine.mupondo@nust.ac.zwSuccess Clifford Nemahweconstantine.mupondo@nust.ac.zw<p>The factors affecting house prices are crucial to Zimbabwe’s property organisation, and they necessitate an understanding of market trends and patterns in the housing industry. The primary goal of this research is to investigate the correlations between house prices and the factors that influence them to develop a model that can forecast house prices in Bulawayo. This study uses exploratory data analysis and spatial regression approaches to analyse factors affecting house prices in Bulawayo to understand how much housing costs are influenced by the availability of health services and retail stores. How does the distance to schools and the central business district (CBD) affect property prices, as well as the size of the land and the physical environment? To attain these goals, spatial analysis and local regression parameter estimates were used. The study found that many variables have both positive and negative effects on house prices across space and that the spatial lag model is the best fit for predicting house values in Bulawayo.</p>2024-06-11T00:00:00+00:00Copyright (c) 2024 Zimbabwe Journal of Science and Technology