http://repository.mocu.ac.tz/xmlui/handle/123456789/69 2026-04-07T11:17:02Z 2026-04-07T11:17:02Z Mkwama, Jumanne Rugoye, Johnson http://repository.mocu.ac.tz/xmlui/handle/123456789/2015 2025-06-17T09:16:41Z 2016-01-01T00:00:00Z

Criminal Trespassing in Mining Areas Mkwama, Jumanne; Rugoye, Johnson With respect to private property, trespassing on a mining site is illegal, attributing to stern actions by the owner against the trespasser. However, the situation can be burdensome when actions taken against the culprit are inhuman in the eyes of the law, especially when actions taken are against the rule of lawand good governance. Data for this study, criminal trespassers in mining areas were collected. from three wards, namely Bugarama, Bulungwa, and Bulyanhulu, in Kahama district, Shinyanga region. Data collected were analyzed qualitatively through the narrative analysis, which is a method involving the reformulation of stories presented by respondents taking into account context of each case and different experiences of each respondent. Findings revealed that little feeling of benefiting from mines by local communities, little social corporate responsibility, and unfair compensation of land acquired by mining companies are some of the factors fueling persistent trespass in mine sites. Other findings indicate that household poverty due to lack of alternative resources of income, limited access to land, and forced acquisition of land by the government and little compensation upon vacating mining areas attribute to trespass in mine sites. On the other hand, on reviewing proper strategies to control trespass in mine site, it was found that use of social license to operate, use of lawful methods to acquire land with mines, transparency in extraction of minerals and upliftment of communities through social corporate responsibility can easily pave new ways for sustainable investments and improved well-being of communities around mining areas. The study concludes that criminal trespassing in mining areas is caused by a lack of rule of law and good governance, household poverty, as well as little feeling that mining operations benefit local communities around the mine. The study recommends that wide public interest should be given priority during land acquisition from local communities. education on legislation of land occupancy should be provided, and mining companies should effectively provide corporate social responsibility. to the surrounding communities.

2016-01-01T00:00:00Z Iwata, John J. Hoskins, Ruth G.M. http://repository.mocu.ac.tz/xmlui/handle/123456789/406 2023-07-25T10:35:59Z 2017-01-01T00:00:00Z

Managing Indigenous Knowledge in Tanzania: A Business Perspective Iwata, John J.; Hoskins, Ruth G.M. This chapter examines the integration of a business perspective in the management of indigenous knowledge (IK). Indigenous knowledge existed among the diverse societies in Tanzania since the beginning of life in such societies. With a business perspective it is considered that IK will be properly managed as the IK owners will be rewarded with some benefits for engaging in such business. Therefore, this chapter is designed to help readers understand: the status quo of managing IK in Tanzania; the applicability of the business perspective to the management of IK; the impacts of the business perspective in the management and development of IK; and the roles of stakeholders (IK owners and the government) in managing IK as a business enterprise. Thus, a business perspective for the management of such knowledge as a major source of development in this era of the knowledge economy is highly recommended for the appreciation revival of such knowledge. A book chapter from library, information science and knowledge economy with DOI: 10.4018/978-1-5225-1965-2.ch012

2017-01-01T00:00:00Z Matto, George http://repository.mocu.ac.tz/xmlui/handle/123456789/328 2022-12-22T13:16:34Z 2022-01-01T00:00:00Z

Big data analytics framework for effective higher education Institutions Matto, George There has been an increased dependency on Information and Communication Technologies (ICTs) in undertaking various activities in Higher Education Institutions (HEIs) ecosystems. Because of that, huge volumes of data have increasingly been generated. There have been, for instance, considerable amounts of data generated through electronic platforms involved in students’ admission and registration process, students’ academic records management, teaching and learning data, curriculum related data, and several other administrative data. Analysis of data generated from these platforms stands to give students, lecturers, HEIs Management, policy makers and implementers, and other stakeholder’s useful insights that would help in improving HEIs’ effectiveness. Unfortunately, literature has identified several challenges associated with existing big data analytics frameworks in HEIs. It was on this line that the present study, which was based on desk research, was carried out to propose an effective big data framework for analytics of such data. The proposed framework is composed of five stages; data collection, data pre-processing, data storage, data analytics, and data visualization. The stages were arranged systematically to address the identified challenges in the existing frameworks. Effective implementation of this framework will help HEIs to make a productive use of various data they generate. This will ultimately be beneficial to not only HEIs but also to aspired students, labor market, the government and the public at large. https://doi.org/10.52339/tjet.vi.768

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