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Past Issues
An Interrogation of Causes of Customer Defection in Zimbabwean Mobile Telecommunication Industry
Piason Viriri, Maxwell Chufama
CrossRef DOI : 10.31426/ijamsr.2022.5.1.5051
CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2022.5.1.5051
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Abstract
Although several industries suffer from customer churn, it is more pronounced in the telecommunication sector where customers are acquired and also defect in a short space of time. Controlling customer defection is the major problem facing the telecom industry nowadays. The focus of the study was to investigate whether customer switching is a serious challenge in the Zimbabwean telecommunication industry. Secondly, the thrust of the research was to explore the underlying causes of customer switch behavior in the industry. Primary data was gathered from three mobile telecommunication operators using case study design. Data was gathered from key informants who comprised telecommunication subscribers, employees and management. This comprised the population of the study. Stratified and purposive sampling was used in this study as a form of triangulation. Findings from the study showed that customer defection in the industry is fuelled by competitor promotions, poor service quality, and customer dissatisfaction among other factors. It is recommended that Zimbabwe telecom firms should collaborate with rivals in the industry when launching marketing-mix elements and other strategies. In addition, the industry should benchmark their service standards with international principles. Furthermore, the industry should regularly carry out market research in the form of customer surveys in order to understand customer needs, wants and preferences. This will reduce customer switching behavior. The industry should investigate underlying causes of customer switching in the industry so that they will be able to implement relevant strategies to either prevent or reduce it.It is also recommended for telecom firms to procure quality products for sale to their customers.
Artifical Intelligence - Future Of Pharmacetical Manufacturing
Lavanya. B, Gopika. O, L.V. Vigneswaran, M. Senthil Kumar
CrossRef DOI : 10.31426/ijamsr.2022.5.1.5052
CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2022.5.1.5052
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Abstract
Artificial Intelligence (AI) is a broad term that refers to the capabilities of learning systems that people perceive as intelligent. Artificial intelligence (AI) and machine learning (ML) technologies have risen to the top of the manufacturing priority list because they enable companies to change business models, design operational paradigms to support those models, and monetize data to reach higher levels of efficiency. AI and machine learning continue to dominate the industrial business, it's safe to assume. UST has seen AI play a vital role in transforming operations, improving product quality, and lowering costs through a variety of methodologies such as smart operations, design prediction, product quality evaluation, and more. Artificial intelligence, without a question, has changed the way we do business. AI immediately improves our daily life by providing a fast, efficient, and tailored experience in everything from healthcare to advertising to Netflix suggestions.
Constructivist Epistemology: Its Impact on Modern Learning Theories
Dr. Subodh Sharma
CrossRef DOI : 10.31426/ijamsr.2022.5.1.5053
CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2022.5.1.5053
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Abstract
Constructivist epistemology has revolutionized modern learning theories by challenging conventional perspectives on how knowledge is acquired and transmitted in educational settings. It asserts that learners actively construct their own understanding through experiences and reflection, contrasting with passive learning models. This philosophical stance has sparked extensive discourse and exploration across disciplines like education, psychology, and sociology. The influence of constructivist epistemology extends beyond theoretical frameworks to practical applications in contemporary educational practices.