Kaimosi Friends University Repository
A FRAMEWORK FOR INTEGRATION OF HETEROGENEOUS AGRICULTURAL INFORMATION MANAGEMENT SYSTEMS FOR THE AGRICULTURE SECTOR IN KAKAMEGA COUNTY, KENYA
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| dc.contributor.author | OCHOLI, HEZBONE | |
| dc.date.accessioned | 2023-01-12T05:53:00Z | |
| dc.date.available | 2023-01-12T05:53:00Z | |
| dc.date.issued | 2022-12 | |
| dc.identifier.citation | [1] J. Clapp and S. L. Ruder, "Precision technologies for agriculture: Digital farming, gene-edited crops, and the politics of sustainability.," Global Environmental Politics, vol. 20(3), pp. 49-69, 2020. [2] K. T. Renius, Fundamentals of tractor design., Cham, Switzerland: : Springer., 2020. [3] J. Dangermond and M. F. Goodchild, "Building geospatial infrastructure.," Geo Spatial Information Science,, Vols. 23(1),, pp. 1-9., 2020. [4] S. Freitas, C. Catita, P. Redweik and M. C. Brito, " Modelling solar potential in the urban environment: State-of-the-art review.," Renewable and Sustainable Energy Reviews, vol. 41, pp. 915-931, 2015. [5] B. J. Brelje and J. R. Martins, "Electric, hybrid, and turboelectric fixed-wing aircraft: A review of concepts, models, and design approaches.," Progress in Aerospace Sciences, vol. 104, pp. 1-19, 2019. [6] J. M. (. Tien, " Internet of things, real-time decision making, and artificial intelligence.," Annals of Data Science, Vols. 4(2), , pp. 149-178., 2017. [7] K. Kohler, "Strategic Foresight: Knowledge, Tools, and Methods for the Future.," CSS Risk and Resilience Reports., 2021. [8] J. Muangprathub, N. Boonnam, S. Kajornkasirat, N. Lekbangpong, A. Wanichsombat and P. Nillaor, " IoT and agriculture data analysis for smart farm..," Computers and electronics in agriculture, vol. 156, pp. 467-474, 2019. [9] M. G. B. B. &. R. N. L. J. Sollen-Norrlin, " Agroforestry benefits and challenges for adoption in Europe and beyond.," Sustainability, , vol. 12(17), p. 7001, 2020. [10] A. Kusiak, "Smart manufacturing.," International Journal of Production Research, Vols. 56(1-2) , pp. 508-517, 2018. [11] O. Vermesan and P. Friess, Internet of things applications-from research and innovation to market deployment, CRC Press, 2020. [12] R. Akhter and S. A. Sofi, "Precision agriculture using IoT data analytics and machine learning.," Journal of King Saud University-Computer and Information Sciences., 2021. [13] S. Wolfert, L. Ge, C. Verdouw and M. J. Bogaardt, "Big data in smart farming–a review.," Agricultural systems,, vol. 153, pp. 69-80., 2017. [14] A. &. K. S. Khanna, "Evolution of Internet of Things (IoT) and its significant impact in the field of Precision Agriculture.," Computers and electronics in agriculture, vol. 157, pp. 218-231, 2019. [15] C. Brewster, I. Roussaki, N. Kalatzis, K. Doolin and K. Ellis, " IoT in agriculture: Designing a Europe-wide large-scale pilot.," IEEE communications magazine, Vols. 26-33, p. 55(9), 2017. [16] U. G. A. &. M. D. Deichmann, " Will digital technologies transform agriculture in developing countries?," Agricultural Economics, , vol. 47(S1), pp. 21-33, 2016. [17] Y. Perwej, K. Haq, F. Parwej, M. Mumdouh and M. Hassan, "The internet of things (IoT) and its application domains.," International Journal of Computer Applications, , vol. 182(49), pp. 36-49, 2019. [18] P. A. Longley, M. F. Goodchild, D. J. Maguire and D. W. hind, Geographic information systems and science., John Wiley & Sons., 2015. [19] K. B. Nayar and V. Kumar, "Cost benefit analysis of cloud computing in education.," International Journal of Business Information Systems, vol. 27(2), pp. 131 205-221., 2018. [20] A. Karim, S. A. Ali Shah, R. B. Salleh, M. Arif, R. M. Noor and S. Shamshirband, "Mobile botnet attacks-an emerging threat: classification, review and open issues.," KSII Transactions on Internet and Information Systems (TIIS), vol. 9(4), pp. 1471- 1492., 2015. [21] T. Bianchi, V. Bioglio and E. Magli, "Analysis of one-time random projections for privacy preserving compressed sensing.," IEEE Transactions on Information Forensics and Security, , vol. 11(2), pp. 313-327, 2015. [22] S. S. Meijer, D. Catacutan, O. C. Ajayi, G. W. Sileshi and M. Nieuwenhuis, " The role of knowledge, attitudes and perceptions in the uptake of agricultural and agroforestry innovations among smallholder farmers in sub-Saharan Africa.," International Journal of Agricultural Sustainability, vol. 13, no. 1, pp. 40-54, 2015. [23] T. A. Melketo, E. Geta and S. Sieber, "Understanding livelihood diversification patterns among smallholder farm households in Southern Ethiopia.," Sustainable Agriculture Research, Vols. 9(526-2020-563), , pp. 26-41, 2020. [24] R. Stair and G. Reynolds, Principles of information systems., Cengage Learning, 2020. [25] A. A. Siyal, A. Z. Junejo, M. Zawish, K. Ahmed, A. Khalil and G. Soursou, "Applications of blockchain technology in medicine and healthcare: Challenges and future perspectives.," Cryptography, , vol. 3(1), p. 3, 2019. [26] A. L. M. &. S. S. T. (. Pichan, "Cloud forensics: Technical challenges, solutions and comparative analysis.," 2015, vol. 13, pp. 38-57., Digital investigation, . [27] O. Vermesan, P. Friess, P. Guillemin, H. Sundmaeker, M. Eisenhauer, K. Moessner and P. Cousin, "Internet of things strategic research and innovation agenda.," in Internet of Things , River Publishers., 2020, pp. 7-151. [28] T. Zhang, "Data Synthesis," in In Encyclopedia of Big Data , Cham, Springer International Publishing, 2022, pp. 345-347. [29] D. Goodhue and R. Thompson, "A Dangerous Blind Spot in IS Research: False PositivesFalse Positives Due to MulticollinearityCombined with Measurement Error," in 17th Americas Conference on Information Systems, Detroit, MI, August 4-7, 2011. [30] S. Brown, A. Massey and M. Montoya-weiss, "Do I really have to? User acceptance of mandated technology," European Journal of Information Systems, vol. 4, no. 1, pp. 283-295, 2015. [31] T. J. Sturgeon, "Upgrading strategies for the digital economy.," Global Strategy Journal, , vol. 11(1), pp. 34-57, 2021. [32] K. Jahangir, S. Toni and B. Anol, "The Role of Information Systems Resources in ERP Capability Building and Business Process Outcomes," Journal of Management Information Systems , Vols. 24, , no. 2, pp. 221-260, 2017. [33] R. Spies, S. Grobbelaar and A. Botha, " A Scoping Review of the Application of the Task-Technology Fit Theory," MIS Quarterly, vol. 12066, no. 20, pp. 397-408, 2020. [34] R. Tamara, S. Alexander, A. Julia, F. Gilbert and R. Alexander, "Blockchain as a driving force for federalism: A theory of cross-organizational task-technology fit," International Journal of Information Management, vol. 102476, no. 23, pp. 345- 360, 2022,. [35] O. Funmilola and A. Omotayo, "Perception of task-technology fit of digital library among undergraduates in selected universities in Nigeria,," The Journal of 132 Academic Librarianship,, vol. 46, no. 1, pp. 456-510, 2020. [36] N. Jerry, L. Kalle and Z. Tal ben, "Enhancing the measurement of information technology (IT) business alignment and its influence on company performance," Sage Journals, vol. 32, no. 1, pp. 26-46, 2017. [37] H. K. Mohajan, "Qualitative research methodology in social sciences and related subjects.," Journal of economic development, environment and people, vol. 7(1), pp. 23-48, 2018. [38] S. Degli Esposti, Surveillance & Society, Newyork: pearson, 2014. [39] H. Andrew and V. Van de, "Central Problems in the Management of Innovation.," Management Science , vol. 32, no. 5, pp. 590-607., 2013. [40] D. J. Mallinson, "Policy innovation adoption across the diffusion life course.," Policy Studies Journal, vol. 49(2), pp. 335-358, 2021. [41] T. Tinavapi, The barriers to adopting Social Impact Bonds in the public sector in South Africa, Durban, 2021. [42] B. Olufayo and T. Akinbo, "Training gap identification as determinant of employees' job performance," Journal of Human Resource Management, vol. 25, no. 3, pp. 300-365, 2021. [43] P. C. Lai, "The literature review of technology adoption models and theories for the novelty technology.," JISTEM-Journal of Information Systems and Technology Management, vol. 14, pp. 21-38, 2017. [44] V. Venkatesh, J. Thong and X. Xu, "Consumer Acceptance and Use of Information Technology:Extending the Unified Theory of Acceptance and Use of Technology," MIS QUARTERLY, vol. 36(1), no. https://doi.org/10.2307/4141041, p. 157–178. , 2012. [45] M. Likoebe, B. Hillol, V. Viswanath and A. Susan, "Going beyond intention: Integrating behavioral expectation into the unified theory of acceptance and use of technology," The Journal of the Association for Information Science and Technology (JASIST), vol. 68, no. 3, pp. 623-637, 2017. [46] P. Y. Chen and G. J. Hwang, "An empirical examination of the effect of self regulation and the Unified Theory of Acceptance and Use of Technology (UTAUT) factors on the online learning behavioural intention of college students.," Asia Pacific Journal, , vol. 39, no. 1, pp. 79-95., 2019. [47] B. Thapa, P. T. Wolter, B. R. Sturtevant and P. A. Townsend, " Linking remote sensing and insect defoliation biology–A cross-system comparison.," Remote Sensing of Environment,, vol. 113236., p. 281, 2021. [48] K. Ö. Efiloğlu, "Examining an e-learning system through the lens of the information systems success model: Empirical evidence from Italy.," Education and Information Technologies, vol. 24(2), pp. 1173-1184., 2019. [49] T. Mauldin, M. Canby, V. Metsis and N. H, " SmartFall: A smartwatch-based fall detection system using deep learning.," Sensors,, vol. 18(10), p. 3363., 2018. [50] A. Prajapati, A. Parashar and J. K. Chhabra, " Restructuring Object-oriented software systems using various aspects of class information.," Arabian Journal for Science and Engineering, , vol. 45(12), pp. 10433-10457., 2020. [51] T. Besard, V. Churavy, A. Edelman and B. De Sutter, "Rapid software prototyping for heterogeneous and distributed platforms.," Advances in engineering software,, vol. 132, pp. 29-46., 2019. [52] W. K. Mizutani, V. K. Daros and F. Kon, "Software architecture for digital game mechanics: A systematic literature review.," Entertainment Computing, vol. 38, p. 133 100421, 2021. [53] A. Razzaq, " A systematic review on software architectures for iot systems and future direction to the adoption of microservices architecture. .," SN Computer Science,, vol. 1(6), pp. 1-30, 2020. [54] L. Brent and A. Fekete, "A versatile framework for painless benchmarking of database management systems.," Australasian Database Conference, pp. 45-56, 10 January 2019. [55] T. Jensen, J. Hedman and S. Henningsson, " How tradelens delivers business value with blockchain technology.," MIS Quarterly Executive, vol. 18(4)., pp. 35-45, 2019. [56] E. Gökalp, M. O. Gökalp and S. Çoban, "Blockchain-based supply chain management: understanding the determinants of adoption in the context of organizations," Information systems management, , vol. 39(2), pp. 100-121, (2022). . [57] O. Ali, A. Shrestha, V. Osmanaj and S. Muhammed, " Cloud computing technology adoption: an evaluation of key factors in local governments.," Information Technology & People, vol. 34(2), pp. 666-703., 2020. [58] A. McNamara and S. Sepasgozar, "Developing a theoretical framework for intelligent contract acceptance. .," Construction innovation, 2020.. [59] WHO, Guide for integration of perinatal mental health in maternal and child health services, World Health Organization, 2022. [60] C. Pardo, R. Wei and B. Ivens, "Integrating the business networks and internet of things perspectives: A system of systems (SoS) approach for industrial markets.," Industrial Marketing Management, vol. 104, pp. 258-275, 2022. [61] E. Hofmann and M. Rüsch, "Industry 4.0 and the current status as well as future prospects on logistics.," Computers in industry, vol. 89, pp. 23-34, 2017. [62] A. Hemon, B. Lyonnet, F. Rowe and B. Fitzgerald, " From agile to DevOps: Smart skills and collaborations.," Information Systems Frontiers, vol. 22(4), pp. 927-945., 2020. [63] K. S. Warner and M. Wäger, "Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal," Long range planning, vol. 52(3), pp. 326-349., 2019. [64] S. Patro, M. Potey and A. Golhani, "Comparative study of middleware solutions for control and monitoring systems.," In 2017 Second International Conference on Electrical, Computer and Communication Technologies (ICECCT), pp. 1-10. IEEE., 01 February 2017. [65] J. Tidd and J. R. Bessant, Managing innovation: integrating technological, market and organizational change., John Wiley & Sons., 2020. [66] A. Bock, E. Axelsson, J. Costa, G. Payne, M. Acinapura, V. Trakinski and A. Ynnerman, "OpenSpace: A system for astrographics.," IEEE transactions on visualization and computer graphics, vol. 26(1), pp. 633-642, 2019. [67] G. E. Karniadakis, I. G. Kevrekidis and P. Perdikaris, " Physics-informed machine learning.," Nature Reviews Physics, , Vols. 3(6),, pp. 422-440., 2021. [68] H. N. Tambingon, W. Yadiati and C. L. Kewo, " Determinant factors influencing the quality of financial reporting local government in Indonesia.," International Journal of Economics and Financial Issues, vol. 8(2), p. 262, 2018. [69] M. Xu, J. M. David and S. H. Kim, "The fourth industrial revolution: Opportunities and challenges..," International journal of financial research, vol. 9(2), pp. 90-95, 134 2018. [70] L. Aguiar-Castillo, V. Guerra, J. Rufo, J. Rabadan and R. Perez-Jimenez, "Survey on optical wireless communications-based services applied to the tourism industry:Potentials and challenges.," Sensors, , Vols. 21(18), , p. 6282., 2021. [71] S. Wolfert, L. Ge, C. Verdouw and M. J. Bogaardt, "Big data in smart farming–a review.," Agricultural systems, vol. 153, pp. 69-80., 2017. [72] P. Marwedel, Embedded system design: embedded systems foundations of cyber physical systems, and the internet of things., Springer Nature., 2021. [73] J. Tummers, A. Kassahun and B. Tekinerdogan, "Obstacles and features of Farm Management Information Systems: A systematic literature review.," Computers and electronics in agriculture., vol. 157, pp. 189-204., 2019. [74] A. Monteiro, S. Santos and P. Gonçalves, " Precision agriculture for crop and livestock farming—Brief review..," Animals, 1, vol. 1(8), p. 2345, 2021. [75] C. Cambra Baseca, S. Sendra, J. Lloret and J. Tomas, "A smart decision system for digital farming.," Agronomy, vol. 9(5), p. 216, 2019. [76] O. Salman, I. Elhajj, A. Chehab and A. Kayssi, "IoT survey: An SDN and fog computing perspective.," Computer Networks, vol. 143, pp. 221-246, 2018. [77] B. Douthwaite and E. Hoffecker, " Towards a complexity-aware theory of change for participatory research programs working within agricultural innovation systems.," Agricultural systems, , vol. 155, pp. 88-102., 2017. [78] C. N. Liao, Y. J. Chen and C. S. Tang, "Information provision policies for improving farmer welfare in developing countries: Heterogeneous farmers and market selection.," Manufacturing & Service Operations Management, vol. 21(2), pp. 254-270., 2019. [79] B. Stürmer, D. Leiers, V. Anspach, E. Brügging, D. Scharfy and T. Wissel, " Agricultural biogas production:A regional comparison of technical parameters," Renewable Energy, vol. 164, pp. 171-182., 2012. [80] H. Briassoulis, Analysis of land use change: theoretical and modeling approaches., Springer Nature, 2020. [81] N. Nguyen, M. Wegener and I. Russell, "Decision support systems in Australian agriculture: State of the art and future development," International Association of Agricultural Economists , 12-18 August 2007. [82] N. Röling, "The agricultural research-technology transfer interface: a knowledge systems perspective. In Making the link," CRC Press., 2019. [83] D. Pivoto, P. D. Waquil, E. Talamini and C. P. S. Finocchio, " Scientific development of smart farming technologies and their application in Brazil.," Information processing in agriculture, vol. 5(1), pp. 21-32, 2018. [84] N. K. Munene and B. S. Kasamani, " A Mobile-based Tea Farming Information System.," International Journal of Computer Applications, vol. 975, p. 8887., 2018. [85] L. A. Reisch, " Shaping healthy and sustainable food systems with behavioural food policy.," European Review of Agricultural Economics, vol. 48(4), pp. 665-693., 2021. [86] C. Verdouw, H. Sundmaeker, B. Tekinerdogan, D. Conzon and T. Montanaro, " Architecture framework of IoT-based food and farm systems: A multiple case study.," Computers and Electronics in Agriculture, vol. 165, p. 104939, 2019. [87] R. K. Rainer and B. Prince, . Introduction to information systems., John Wiley & Sons, 2021. [88] R. Sharma, S. S. Kamble and A. Gunasekaran, "Big GIS analytics framework for 135 agriculture supply chains: A literature review identifying the current trends and future perspectives.," Computers and Electronics in Agriculture, vol. 155, pp. 103- 120., 2018. [89] J. Mendes, T. M. Pinho, F. Neves dos Santos and J. J. Sousa, "Smartphone applications targeting precision agriculture practices—A systematic review.," Agronomy, vol. 10, no. 6, p. 855, 2022. [90] J. Pryshlakivsky and C. Searcy, " Life Cycle Assessment as a decision-making tool: Practitioner and managerial considerations.," Journal of Cleaner Production, vol. 309, p. 127344, 2021. [91] M. J. Smith, "Getting value from artificial intelligence in agriculture.," Animal Production Science, , vol. 60(1), pp. 46-54, 2018. [92] M. Amiri-Zarandi, M. Hazrati Fard, S. Yousefinaghani and M. Kaviani, "A platform approach to smart farm information processing.," Agriculture, vol. 12(6), p. 838, 2022. [93] H. Hu, Z. Chen and P. W. Wu, "Internet of things-enabled crop growth monitoring system for smart agriculture. I," nternational Journal of Agricultural and Environmental Information Systems (IJAEIS), vol. 12(2), pp. 30-48., 2021. [94] V. Saiz-Rubio and F. Rovira-Más, " From smart farming towards agriculture 5.0: A review on crop data management.," Agronomy, vol. 10(2), p. 207., 2020. [95] M. J. O'Grady and G. M. O'Hare, "Modelling the smart farm.," Information processing in agriculture, Vols. 4(3), , pp. 179-187, 2017. [96] H. A. Rahiel, A. K. Zenebe, G. W. Leake and B. W. Gebremedhin, "Assessment of production potential and post-harvest losses of fruits and vegetables in northern region of Ethiopia.," Agriculture & Food Security, vol. 7(1) , pp. 1-13, 2018. [97] A. G. T. Villa-Henriksen and L. A. Pesonen, "Internet of Things in arable farming: Implementation, applications, challenges and potential.," Biosystems engineering, vol. 191, pp. 60-84., 2020. [98] H. Zhang, " A deep learning model for ERP enterprise financial management system.," Advances in Multimedia,, vol. 5, no. 2, pp. 123-132, 2022. [99] D. Groeneveld, B. Tekinerdogan and V. Garousi, " A domain-specific language framework for farm management information systems in precision agriculture.," Precision Agriculture, vol. 22(4), pp. 1067-1106., 2021. [100] A. B. Nyamekye, A. Dewulf and E. Van Slobbe, " Information systems and actionable knowledge creation in rice-farming systems in Northern Ghana.," African Geographical Review,, vol. 39(2), pp. 144-161., 2020. [101] H. Li, P. Nijkamp and X. Xie, "A new livelihood sustainability index for rural revitalization assessment—a modelling study on smart tourism specialization in China.," Sustainability, vol. 12(8), p. 3148., 2020. [102] T. Groher, K. Heitkämper and C. Umstätter, " Digital technology adoption in livestock production with a special focus on ruminant farming.," Animal, vol. 14(11), pp. 2404-2413, 2020. [103] A. K. Tyagi and A. Abraham, "Recent Trends in Blockchain for Information Systems Security and Privacy.," CRC Press., 2021. [104] J. L. Ferris, "Data privacy and protection in the agriculture industry: Is federal regulation necessary.," Minn. JL Sci. & Tech., vol. 18, p. 309, 2017. [105] O. Visser, S. R. Sippel and L. Thiemann, " Imprecision farming? Examining the (in) accuracy and risks of digital agriculture.," Journal of Rural Studies, vol. 86, pp. 623-632., 2021. 136 [106] U. Kenny and A. Regan, " Co-designing a smartphone app for and with farmers: Empathising with end-users’ values and needs.," Journal of Rural Studies, vol. 82, pp. 148-160., 2021. [107] S. Mohr and R. Kühl, "Acceptance of artificial intelligence in German agriculture: an application of the technology acceptance model and the theory of planned behavior.," Precision Agriculture, vol. 22(6), pp. 1816-1844., 2021. [108] J. Lindblom, C. Lundström, M. Ljung and A. Jonsson, "Promoting sustainable intensification in precision agriculture: review of decision support systems development and strategies.," Precision Agriculture, Vols. 18(3),, pp. 309-331., 2017. [109] D. Groeneveld, B. Tekinerdogan, V. Garousi and C. Catal, "A domain-specific language framework for farm management information systems in precision agriculture.," Precision Agriculture, vol. 22(4), pp. 1067-1106., 2021. [110] S. A. Wheeler, A. Zuo, H. Bjornlund, M. V. Mdemu and A. van Rooyen, " An overview of extension use in irrigated agriculture and case studies in south-eastern Africa.," International Journal of Water Resources Development,, vol. 33(5), pp. 755-769, 2017. [111] R. A. Fischer and D. J. Connor, "Issues for cropping and agricultural science in the next 20 years.," Field Crops Research, vol. 222, pp. 121-142., 2018. [112] A. Monteiro and S. Santos, "Sustainable approach to weed management: The role of precision weed management," Agronomy, , vol. 12(1), p. 118., 2022. [113] R. Stair and G. Reynolds, Fundamentals of information systems., Cengage Learning., 2017. [114] P. White, " Current state of forensic acquisition for IaaS cloud services.," J. Forensic Sci. Crim. Investig,, vol. 10(1)., pp. 243-251, 2018. [115] S. Wolfert, L. Ge, C. Verdouw and M. J. Bogaardt, "Big data in smart farming–a review.," Agricultural systems, vol. 153, pp. 69-80., 2017. [116] R. Stair and G. Reynolds, Fundamentals of information systems., Cengage Learning., 2017. [117] I. Lloyd, Information technology law., Oxford University Press., 2020. [118] J. Vom Brocke, R. Winter and A. Maedche, "Special issue editorial–accumulation and evolution of design knowledge in design science research: a journey through time and space.," Journal of the Association for Information Systems, , Vols. 21(3),, p. 9, 2020. [119] E. Lombi, E. Donner, M. Dusinska and F. Wickson, "A One Health approach to managing the applications and implications of nanotechnologies in agriculture.," Nature Nanotechnology, , Vols. 14(6),, pp. 523-531, 2019. [120] H. Viswanathan and P. E. Mogensen, "Communications in the 6G era.," IEEE Access, , Vols. 8,, pp. 57063-57074., 2020. [121] H. Park and K. Lee, " Prediction of the Probability of Job Loss due to Digitalization and Comparison by Industry: Using Machine Learning Methods.," Journal of Korea Trade, Vols. 25(5),, pp. 110-128., 2021. [122] V. Saiz-Rubio and F. Rovira-Más, "From smart farming towards agriculture 5.0: A review on crop data management.," Agronomy,, Vols. 10(2), , p. 207., 2020. [123] R. K. Singh, R. Berkvens and M. Weyn, "AgriFusion: An architecture for IoT and emerging technologies based on a precision agriculture survey.," IEEE Access,, Vols. 9, , pp. 136253-136283., 2021. [124] J. Kembro and A. Norrman, " Exploring trends, implications and challenges for 137 logistics information systems in omni-channels: Swedish retailers’ perception.," International Journal of Retail & Distribution Management., vol. 2, no. 2, p. 3333, 2019. [125] A. Naim, "Green Information Technologies in Business Operations.," Periodica Journal of Modern Philosophy, Social Sciences and Humanities, vol. 1, pp. 36-49., 2021. [126] [Online]. [127] A. C. Ikegwu, H. F. Nweke, C. V. Anikwe and O. R. Okonkwo, " Big data analytics for data-driven industry: a review of data sources, tools, challenges, solutions, and research directions.," Cluster Computing, , pp. 1-45, 2022. [128] V. (. Chang, "An ethical framework for big data and smart cities.," Technological Forecasting and Social Change, vol. 165, p. 120559., 2021. [129] H. Zhang, "A deep learning model for ERP enterprise financial management system.," Advances in Multimedia,, p. 2022., 2022. [130] A. Hazra, M. Adhikari, T. Amgoth and S. N. Srirama, "A comprehensive survey on interoperability for IIoT: taxonomy, standards, and future directions.," ACM Computing Surveys (CSUR), vol. 55(1), pp. 1-35., 2021. [131] W. Setyowati, R. Widayanti and D. Supriyanti, "Implementation Of E-Business Information System In Indonesia: Prospects And Challenges.," International Journal of Cyber and IT Service Management, vol. 1(2), pp. 180-188., 2021. [132] R. F. Lusch and S. Nambisan, "Service innovation.," MIS quarterly, , Vols. 39(1),, pp. 155-176., 2015. [133] I. Avazpour, J. Grundy and L. Zhu, " Engineering complex data integration, harmonization and visualization systems.," Journal of Industrial Information Integration, , vol. 16, p. 100103, 2019. [134] A. Jones and V. Thoma, " Determinants for successful agile collaboration between UX designers and software developers in a complex organisation.," International Journal of Human–Computer Interaction, vol. 35(20), pp. 1914-1935, 2019. [135] N. Singh and A. K. Singh, "Data analysis in business research: Key Concepts.," International Journal of Research in Management &Business Studies,, Vols. 2(1), , p. 1, 2015. [136] M. Yvonne Feilzer, "Doing mixed methods research pragmatically: Implications for the rediscovery of pragmatism as a research paradigm.," Journal of mixed methods research, , Vols. 4(1), , pp. 6-16, 2010. [137] S. Dawadi, S. Shrestha and R. A. Giri, " Mixed-methods research: A discussion on its types, challenges, and criticisms.," Online Submission, , Vols. 2(2), , pp. 25-36, 2021. [138] C. E. Kitavi and W. Muna, "Evidence Informed Decision Making and Its Effects on Policy Formulation in Kitui County Assembly; Kenya.," Journal of Public Policy & Governance, vol. 4(1)., p. 523, 2020. [139] J. W. Kirui, N. J. Muthama, C. K. Gachuiri and J. N. Ngaina, "Adaptation and mitigation strategies to climate change by smallholder dairy farmers: A case of Nandi county in Kenya.," Journal of Sustainability, Environment and Peace, vol. 4(1), pp. 39-47., 2020. [140] G. L. Wanda, The Impact Of Vernacular Radio Farming Programmes On Small Scale Farmers In Manyonyi Village, Kakamega County: A Case Of One Acre Fund ., Nairobi, 2016. [141] L. Micalizzi, N. S. Zambrotta and M. H. Bernstein, " Stockpiling in the time of 138 COVID‐ 19.," British journal of health psychology, Vols. 26(2),, pp. 535-543., 2021. [142] KNBS, "2019 KENYA POPULATION AND HOUSING CENSUS:POPULATION BY COUNTY AND SUB-COUNTY," Kenya National Bureau of Statistics, Nairobi, 2020. [143] K. C. MOALF, "Climate Risk Profile Kakamega," Kakamega, 2018. [144] J. Ritchie, J. Lewis and G. Elam, "Designing and selecting samples.," Qualitative research methods, , pp. 77-108, 2003. [145] A. S. Acharya, A. Prakash, P. Saxena and A. Nigam, "Sampling: Why and how of it.," Indian Journal of Medical Specialties, Vols. 4(2), , pp. 330-333., 2013. [146] J. J. Tejada and J. R. B. Punzalan, "On the misuse of Slovin’s formula.," The philippine statistician, , vol. 61(1), pp. 129-136., 2012. [147] O. M. Mugenda and A. G. Mugenda, Research methods: Quantitative and. Qualitative. Approaches., Nairobi; : Studies.African Centre for Technology, 2003. [148] J. A. Stankovic, "Research directions for the internet of things.," IEEE internet of things journal,, Vols. 1(1), , pp. 3-9., 2014. [149] R. Fidel, "Are we there yet?: Mixed methods research in library and information science.," Library & information science research, , Vols. 30(4), , pp. 265-272, 2008. [150] J. Wyman, I. Foster, A. Crossman, K. Colwell and V. Talwar, "The efficacy of free‐ recall, cognitive load, and closed‐ ended questions when children are asked to falsely testify about a crime.," Applied Cognitive Psychology, , Vols. 33(4), , pp. 544-560., 2019. [151] J. Wyman, I. Foster and V. Talwar, " The efficacy of free‐ recall, cognitive load, and closed‐ ended questions when children are asked to falsely testify about a crime. 0," Applied Cognitive Psychology, , Vols. 33(4), , pp. 544-56, 2019. [152] C. L. Mears, " In-depth interviews.," Research methods and methodologies in education, 1, vol. 9, pp. 170-176., 2012. [153] L. Sürücü and A. MASLAKÇI, "Validity and reliability in quantitative research. Business & Management Studies:," An International Journal, vol. 8(3), pp. 2694-2726., 2020. [154] M. A. A. Suhaini and N. M. Bohari, "Assessments on Vocational Knowledge and Skills: A Content Validity Analysis.," European Journal of Educational Research, vol. 10(3), pp. 1529-1540., 2021. [155] M. A. Hertzog, "Considerations in determining sample size for pilot studies.," Research in nursing & health,, Vols. 31(2), , pp. 180-191, 2008. [156] J. R. Fraenkel and N. E. Wallen, How to design and evaluate research in education, New York:: McGraw-hill., 2012. [157] N. Mahzan and A. Lymer, " Examining the adoption of computer-assisted audit tools and techniques: Cases of generalized audit software use by internal auditors. Managerial Auditing Journal," Managerial Auditing Journal, 2014. [158] A. Queirós and F. Almeida, "Strengths and limitations of qualitative and quantitative research methods.," European journal of education studies., vol. 5, no. 2, pp. 500-520, 2017. [159] S. A. DeVaney, A. Spangler and L. Delgadillo, "Tips from the experts on conducting and reviewing qualitative research..," Family and Consumer Sciences Research Journal, , Vols. 396-405, pp. 46(4), , 2018. [160] K. A. Neuendorf, The content analysis guidebook., sage., 2017. [161] B. Sun, H. Mao and C. Yin, "Male and female users’ differences in online technology community based on text mining.," Frontiers in Psychology, vol. 11, p. 806., 2020. | en_US |
| dc.identifier.uri | http://erepository.kafuco.ac.ke/123456789/154 | |
| dc.description.abstract | The agriculture sector has witnessed an increased use of information systems. These systems have improved efficiency on the farm though they perform specific tasks. The specificity, therefore, implies that for every task a corresponding system must be acquired. Since these systems cannot communicate with each other, data is scattered and unsynchronized over multiple applications. This has led to the need for integrated information systems that offer one in all solutions to the challenges facing the farmers. This study sought to develop a framework for the integration of heterogeneous agricultural information management systems for the agriculture sector in Kakamega County. The specific objectives were; to identify existing heterogeneous agricultural information management systems; to identify challenges of using heterogeneous agricultural information management systems; to identify factors influencing the integration of heterogeneous agricultural information management systems, and to develop a framework for the integration of heterogeneous agricultural information management systems. This study employed mixed methods research. The study was conducted in 4 sub-counties of Kakamega County. The target population was 15520 with a sample size of 375 respondents derived using Slovin's formula. The study used simple random sampling and stratified sampling techniques. Questionnaires and interviews were the main data collection tools. During data analysis, data was coded and entered into the computer using the Statistical Package for Social Sciences. Quantitative data was analyzed using descriptive statistics while qualitative data was analyzed using content analysis by use of Delve software. Presentation of results was by use of tables, graphs and pie charts. Majority of respondents 89.80% used agricultural information management systems with 35.20% using more than one system. There were challenges associated with the use of heterogeneous agricultural information management systems with 85.20% agreeing. The majority of challenges were related to a lack of integration. Governing policies and regulations; ICT knowledge and devices; Data Backup and Synchronization 85.80%; Investment 84.40%; And User requirements, system features and interface design 85.20%, were major factors influencing integration. The study resulted in a framework for the integration of heterogeneous agricultural information management systems christened Heterogeneous Agricultural Information Management Systems Integration Framework. Major recommendations included training and investment in Agricultural Information Management Systems; review of policies and regulations and incorporation of system users’ views at all levels of the integration process. The output of the study lays a foundation for decision-making by key players in the agriculture sector and system developers, especially during the design, integration and deployment of Agricultural Information Management Systems. | en_US |
| dc.language.iso | en | en_US |
| dc.title | A FRAMEWORK FOR INTEGRATION OF HETEROGENEOUS AGRICULTURAL INFORMATION MANAGEMENT SYSTEMS FOR THE AGRICULTURE SECTOR IN KAKAMEGA COUNTY, KENYA | en_US |
| dc.type | Thesis | en_US |
