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NM-AIST Repository
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Browsing by Author "Kusyama, Sadiki"

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    Analysis of effectiveness of channels for information gathering and dissemination: Case of fisheries stakeholders in Mwanza and Mara regions of Tanzania
    (Routledge, 2022-05-24) Kusyama, Sadiki; Machuve, Dina; Kisangiri, Michael; Mfanga, Abswaid
    The fisheries sub-sector in Tanzania is challenged with limited use of Information and Communication Technology (ICT) for information gathering and dissemination. Fishers obtain fisheries information from extension officers and their fellow fishers through mainly word of mouth in physical meetings. Despite the growth in access and availability of ICT channels on Mobile phones and Internet in recent years, the fisheries sub-sector decision-makers mainly use conventional media (radio, television, personal communications) in gathering and disseminating fisheries information. Understanding the characteristics of communication channels and their effectiveness in fisheries information gathering and dissemination is of great importance. A comprehensive comparison of the six ICT channels (short message services, cellular phone call, television, radio, mobile application, and website) was done in this study using effectiveness probability. The findings from this study indicated that, short message service (SMS) and cellular phone calls are most effective for fishers. Mobile application, cellular phone calls, websites, and SMS are effective for fish traders and fisheries officers. However, the cellular phone call was not cost-effective compared to mobile applications and websites. This study recommends the development of multi-channel (SMS, web-based, and mobile application) fisheries information system to enhance fisheries information gathering and dissemination process to meet realistic information needs of all fisheries stakeholders.
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    Development of an evolutionary game-theoretical model for trustworthy multi-channel information gathering and dissemination system framework among fisheries stakeholders
    (NM-AIST, 2022-07) Kusyama, Sadiki
    Fisheries and its value added products contributes substantially in the socio-economic of developing countries including Tanzania. Researches shows that fisheries sector contributes 4.7% and 2.4% of the Gross Domestic Product (GDP) of Kenya and Tanzania respectively. Despite its huge contribution to socio-economic of the country, the Tanzania fisheries stakeholders remain challenged with limited access of fisheries information, knowledge, skills and new technologies. This challenges hinders the fisheries sector development and reduces income to stakeholders as well as the Government. This study investigated the fisheries information collecting and distribution among fisheries stakeholders in Mara and Mwanza regions of Tanzania. The study examined the channels owned and used by fisheries stakeholders to gather and disseminate fisheries information. Data were collected by administering a survey in four (4) districts purposively selected from the two regions and 400 respondents randomly selected was involved. The data were analyzed using python panda library and presented using bar and pie charts. Using the collected data, channel dissemination effectiveness probability of the six channels (short Message services, Cellular phone call, Television, Radio, mobile application, and Website) were calculated and comprehensive analysis performed using python plotly library. Furthermore, the study developed a multi channel fisheries information management system architectural framework and a participation reputation game based incentive mechanism namely EPRIGM to encourage the fisheries stakeholders donate truthful information and feedback. We modeled and simulated the dynamics of stakeholder’s strategy selection using replicator dynamic concept and derive the evolutionary stable strategies for the stakeholders. Results revealed that there is no single channel application that fits all stakeholders and that EPRIGM ensures truthful and honest stakeholders participation in gathering and disseminating fisheries information. In this study, we considered only seven parameters, namely channel coverage, listening ratio, watching ratio, channel access, average access time, information usefulness, and information sharing, in calculating channel effectiveness probability. Lastly, the empirical results of EPRIGM simulation revealed that all information users and information providers will choose honest strategy to capitalize on their earnings. We do recommend further studies to consider more factors like channel carrying capacity and channel costs in calculating channel effectiveness probability and consider application of EPRIGM in other domain of activities.
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    Participation-reputation based incentive game model (PRIGM) for trustworthy fisheries information collection and dissemination framework
    (Accent Social and Welfare Society, 2020-09-01) Kusyama, Sadiki; Machuve, Dina; Kisangiri, Michael; Mfanga, Abuswaid
    The fisheries and aquaculture sectors worldwide use Information and communication technologies (ICT) to collect and disseminate fisheries information. Currently, the African member state is significantly strengthening the use of ICT systems in data collection and dissemination to ensure timely access and accurate fisheries information. Fisheries stakeholders are obliged to submit and retrieve information honestly as well as provide feedback voluntarily. We conducted ancient literature reviews to discover worldwide and indigenous struggles towards developing and implementing fisheries data collection and dissemination systems. Existing worldwide and indigenous innovation systems bases on voluntary user participation and lacks effective incentive mechanisms. However, due to dishonest human behavior, such a promise is impractical. Without an efficient mechanism to incentivize fisheries stakeholders, it would not be easy to achieve the required system adoption and performance. This paper proposed an evolutionary participation-reputation incentive game-based mechanism (PRIGM) to motivate fisheries stakeholders to contribute accurate information, retrieve information, and return honest feedback to the system. Our proposed model adopts stakeholder participation and reputation as merit to incentivize the honest stakeholder and punish the dishonest one. Our proposed PRIGIM model modeled the stakeholder's participation as an evolutionary game and coded the model using the python programming language. We simulated the model in five cases using randomly generated data, each with four-game rounds plays, using a different number of stakeholder participants in each case. Lastly, we used a bar chart graph to evaluate stakeholder's honest and dishonest behavior. The simulation results show that no matter the population of stakeholders, many stakeholders choose a dishonest strategy at the beginning of the game; after several game rounds, most stakeholders will be motivated to choose a simple strategy. Our simulation results proved that PRIGIM effectively motivates stakeholders to use the system, contribute accurate information, and return truthful feedback.
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