i-manager Publications

i-manager's Journal on Mobile Applications and Technologies (JMT)

Current Issue Vol. 11 Issue 1

Most Cited

Volume 11 Issue 1 January - June 2024

Article

Wireless Communication using Shortest Job First Scheduling Algorithm for Temporary Network

K. Thamizhmaran*

Deptartment of Electronics Communication Engineering, Government College of Engineering, Bodinayakkanur, Theni, Tamilnadu, India.

Thamizhmaran, K. (2024). Wireless Communication using Shortest Job First Scheduling Algorithm for Temporary Network. i-manager’s Journal on Mobile Applications & Technologies, 11(1), 1-4. https://doi.org/10.26634/jmt.11.1.20408

Abstract

Recent researchers are interested in the field of Wireless Sensor Network (WSN) due to the challenges posed by communication via the air medium. These challenges include difficulties arising from the use of the same carrier channel for all communications, making the network vulnerable to security threats such as malicious attacks, misbehavior attacks, grey hole attacks, block hole attacks, etc. In traditional path-based approaches, it is not easy to identify and overcome these drawbacks. To address this, we propose and implement a scheduling algorithm called "shortest first job" with the assistance of infrastructure-less networks. This leading algorithm effectively mitigates the aforementioned security issues in wireless sensor networks by determining the most cost-effective and distance-optimal path between sender and receiver, simulated using NS2.

References

[1]. Abbas, A. (2015). Multiprocessor and Real-Time Scheduling Shortest-Job-First (SJF) scheduling algorithm. European Journal of Computer Science and Information Technology, 3(5), 8-20.

[2]. Arivazhagan, A., Thamizhmaran, K., & Thamilselvi, N. (2015). Performance comparison of on demand routing protocols under back whole for MANET. Advance Research in Computer science and software Engineering, 5(3), 407-411.

[3]. Hespanha, J. P., Naghshtabrizi, P., & Xu, Y. (2007). A survey of recent results in networked control systems. Proceedings of the IEEE, 95(1), 138-162.

[4]. Natsheh, E., Khatun, S., Jantan, A. B., & Shamala, S. (2008). Fuzzy metric approach for route lifetime determination in wireless ad hoc networks. International Journal of Ad Hoc and Ubiquitous Computing, 3(1), 1-9.

[5]. Owaidat, B., Nassar, H., & Kassem, R. (2015, April). A Shortest Job First (SJF)-like scheme for efficient call handoff in mobile networks. In 2015 Fifth International Conference on Digital Information and Communication Technology and its Applications (DICTAP) (pp. 216-221). IEEE.

[6]. Prabu, K., & Subramani, A. (2014). Energy efficient routing in MANET through edge node selection using ESPR algorithm. International Journal of Mobile Network Design and Innovation, 5(3), 166-175.

[7]. Prabu, K., & Thamizhmaran, K. (2016). Cluster head selection techniques and algorithm for mobile ad-hoc networks (MANETS). Advance Research in Computer science and software Engineering, 6(7), 169-173.

[8]. Rajkumar, M., & Grace, K. (2013). Efficient data prediction scheme using SVM classification. In International Conference on Computer Science and Information Technology (pp. 215-219).

[9]. Shakshuki, E. M., Kang, N., & Sheltami, T. R. (2012). EAACK - A secure intrusion-detection system for MANETs. IEEE Transactions on Industrial Electronics, 60(3), 1089- 1098.

[10]. Sreenatha, M., Rajendra, B. R., Niranjan, C. K., & Kumar, M. M. (2014, July). Prediction of length of the next CPU burst in SJF scheduling algorithm using dual simplex method. In Second International Conference on Current Trends in Engineering and Technology-ICCTET 2014 (pp. 248-252). IEEE.

[11]. Teraiya, J., & Shah, A. (2018, September). Comparative study of LST and SJF scheduling algorithm in soft real-time system with its implementation and analysis. In 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (pp. 706-711). IEEE.

[12]. Thamizhmaran, K. (2012). Authentication and intrusion detection in MANET. International Journal of Advance Research in Technology, 3(3), 15-21.

[13]. Thamizhmaran, K. (2016). Performance evaluation of EA3ACK in different topologies using EAACK for MANET. i- manager's Journal on Information Technology, 5(4), 5-10.

[14]. Thamizhmaran, K., Mahto, R. S. K., & Tripathi, V. S. K. (2012). Performance analysis of secure routing protocols in MANET. International Journal of Advanced Research in Computer and Communication Engineering, 1(9), 651-654.

Full Article (HTML)

Pdf

Research Paper

Mental Health Support App with Mood Tracking and Resources

Melvin Mwakiseghire* , Pempho Jimu**

*-** DMI St. John the Baptist University, Lilongwe, Malawi.

Mwakiseghire, M., and Jimu, P. (2024). Mental Health Support App with Mood Tracking and Resources. i-manager’s Journal on Mobile Applications & Technologies, 11(1), 5-11. https://doi.org/10.26634/jmt.11.1.20662

Abstract

In our increasingly digitized society, prioritizing mental health support has become imperative for overall well-being. This abstract outlines the development and core features of an innovative mental health support app aimed at empowering individuals to navigate their mental health journey effectively. This cutting-edge mobile application integrates mood tracking with a plethora of mental health resources, providing users with comprehensive support tailored to their needs. Amidst a landscape where mental well-being is paramount, this app serves as a digital ally, aiding users in understanding, monitoring, and enhancing their emotional health. Leveraging artificial intelligence, the app discerns patterns in users' mood data, offering personalized suggestions and interventions. These recommendations encompass mindfulness exercises, journal prompts, and connections to friends and support networks. Beyond personalized support, the app boasts an extensive library of mental health resources, including articles, videos, and audio content spanning stress management to mindfulness techniques. Moreover, it facilitates access to local mental health professionals and support groups, ensuring users can seek assistance as needed. This app represents a pivotal step towards democratizing mental health support and empowering individuals to foster their well-being proactively.

References

[1]. Firth, J., Torous, J., Nicholas, J., Carney, R., Pratap, A., Rosenbaum, S., & Sarris, J. (2017). The efficacy of smartphone based mental health interventions for depressive symptoms: A meta analysis of randomized controlled trials. World Psychiatry, 16(3), 287-298.

[2]. Litke, S. G., Resnikoff, A., Anil, A., Montgomery, M., Matta, R., Huh-Yoo, J., & Daly, B. P. (2023). Mobile technologies for supporting mental health in youths: Scoping review of effectiveness, Limitations, and Inclusivity. JMIR Mental Health, 10(1), e46949.

[3]. Naslund, J. A., Aschbrenner, K. A., Marsch, L. A., McHugo, G. J., & Bartels, S. J. (2015). Crowdsourcing for conducting randomized trials of internet delivered interventions in people with serious mental illness: A systematic review. Contemporary Clinical Trials, 44, 77-88.

[4]. Pratap, A., Renn, B. N., Volponi, J., Mooney, S. D., Gazzaley, A., Arean, P. A., & Anguera, J. A. (2018). Using mobile apps to assess and treat depression in Hispanic and Latino populations: Fully remote randomized clinical trial. Journal of Medical Internet Research, 20(8), e10130.

[5]. Primack, B. A., Shensa, A., Sidani, J. E., Whaite, E. O., yi Lin, L., Rosen, D., Colditz, J. B., Radovic, ., & Miller, E. (2017). Social media use and perceived social isolation among young adults in the US. American Journal of Preventive Medicine, 53(1), 1-8.

[6]. Proudfoot, J., Clarke, J., Birch, M. R., Whitton, A. E., Parker, G., Manicavasagar, V., Harrison, V., Christensen, H., & Hadzi-Pavlovic, D. (2013). Impact of a mobile phone and web program on symptom and functional outcomes for people with mild-to-moderate depression, anxiety and stress: A randomised controlled trial. BMC Psychiatry, 13, 1-12.

[7]. Siddiqui, S., Gonsalves, P. P., & Naslund, J. A. (2022). Scaling up of mental health services in the digital age: The rise of technology and its application to low-and middle- income countries. In Mental Health in a Digital World (pp. 459-479). Academic Press.

[8]. Torous, J., Myrick, K. J., Rauseo-Ricupero, N., & Firth, J. (2020). Digital mental health and COVID-19: using technology today to accelerate the curve on access and quality tomorrow. JMIR Mental Health, 7(3), e18848.

[9]. Werner-Seidler, A., O'Dea, B., Shand, F., Johnston, L., Frayne, A., Fogarty, A. S., & Christensen, H. (2017). A smartphone app for adolescents with sleep disturbance: Development of the Sleep Ninja. JMIR Mental Health, 4(3), e7614.

Full Article (HTML)

Pdf

Research Paper

Centralized E-Warranty System with Blockchain Security

Nitesh Jadhav* , Sumit Mourya, Saurabh Sharma, Shailesh Pandey, Vidya Kawtikwar

*-***** Department of Computer Engineering, St. John College of Engineering and Management, Maharashtra, India.

Jadhav, N., Mourya, S., Sharma, S., Pandey, S., and Kawtikwar, V. (2024). Centralized E-Warranty System with Blockchain Security. i-manager’s Journal on Mobile Applications & Technologies, 11(1), 12-21. https://doi.org/10.26634/jmt.11.1.20504

Abstract

The Centralized E-Warranty System with Blockchain Security offers a pioneering solution to the challenges entrenched in conventional warranty management methods. This paper delineates a comprehensive platform leveraging mobile technology and real-time data analytics to elevate operational efficiency and customer satisfaction. By facilitating seamless registration, dealer management, and product assignment for companies, this system ensures immediate access to warranty information through automated e-warranty generation through QR code scanning. Furthermore, the optional integration of blockchain technology enhances data security, immutability, and transparency, fostering heightened trust and integrity. This paper holds profound significance as it empowers companies to optimize warranty management practices, reduce operational overhead and provide valuable data insights. Customers benefit from a simplified method to track product warranties, while dealers experience streamlined tasks. The future recommendations encompass continuous system refinement, expansion of blockchain integration, and proactive adaptation to emerging technological advancements. The Centralized E-Warranty Management System stands poised as a transformative force, set to reshape warranty management practices across industries by offering a unified, secure, and efficient platform for warranty tracking and management.

References

[1]. Arlat, J., Aguera, M., Amat, L., Crouzet, Y., Fabre, J. C., Laprie, J. C., Martins, E., & Powell, D. (1990). Fault injection for dependability validation: A methodology and some applications. IEEE Transactions on Software Engineering, 16(2), 166-182.

[2]. Asante, M., Epiphaniou, G., Maple, C., Al-Khateeb, H., Bottarelli, M., & Ghafoor, K. Z. (2021). Distributed ledger technologies in supply chain security management: A comprehensive survey. IEEE Transactions on Engineering Management, 70(2), 713-739.

[3]. Batoory, D. S., Barnett, J. R., Garza, J. F., Smith, K. P., Tsukuda, K., Twichell, B. C., & Wise, T. E. (1988). GENESIS: An extensible database management system. IEEE Transactions on Software Engineering, 14(11), 1711-1730.

[4]. Chen, J., Lv, Z., & Song, H. (2019). Design of personnel big data management system based on blockchain. Future Generation Computer Systems, 101, 1122-1129.

[5]. Hillman, R. A., & Barakat, I. (2008). Warranties and disclaimers in the electronic age. Yale JL & Tech., 11, 1.

[6]. Hipólito, T., Nabais, J. L., Carmona-Benítez, R., Botto, M. A., & Negenborn, R. R. (2022). A centralised model predictive control framework for logistics management of coordinated supply chains of perishable goods. International Journal of Systems Science: Operations & Logistics, 9(1), 1-21.

[7]. Infosys. (2018). Warranty: From Liability to Competitive Advantage.

[8]. Korpela, K., Hallikas, J., & Dahlberg, T. (2017). Digital supply chain transformation toward blockchain integration. Scholar Space (pp. 1-10).

[9]. Liu, Y., Zhang, C., Yan, Y., Zhou, X., Tian, Z., & Zhang, J. (2022). A semi-centralized trust management model based on blockchain for data exchange in IoT system. IEEE Transactions on Services Computing, 16(2), 858-871.

[10]. Lutfiani, N., Mariyati, W. S., Sari, A. A., & Febrianto, K. R. (2022). Decentralization of information using blockchain technology on mobile apps e-journal. Blockchain Frontier Technology, 1(2), 114-121.

[11]. Olaizola, I. G., Bruse, J. L., Odriozola, J., Artetxe, A., Velásquez, D., Quartulli, M., & Posada, J. (2022). Visual analytics platform for centralized COVID-19 digital contact tracing. IEEE Computer Graphics and Applications, 43(1), 53-64.

[12]. Pavel, M. A., Rana, M., Al Roman, A., Hassan, Y., & Khan, R. (2021, November). Android application for tourism planning in Bangladesh. In 2021 IEEE 19th Student Conference on Research and Development (SCOReD) (pp. 157-162). IEEE.

[13]. Rawat, M., & Kshemkalyani, A. (2003, April). SWIFT: Scheduling in web servers for fast response time. In Second IEEE International Symposium on Network Computing and Applications (NCA) 2003 (pp. 51-58). IEEE.

[14]. Shubham, S. (2020). App development using react native, Expo and AWS. International Journal of Trend in Scientific Research and Development, 4(4), 1307-1309.

[15]. Sun, N., Li, C. T., Chan, H., Islam, M. Z., Islam, M. R., & Armstrong, W. (2023). On the development of a protection profile module for encr yption key management components. IEEE Access, 11, 9113-9121.

[16]. Sunkari, S. (2022). A brief review on CRM, salesforce and reasons stating salesforce as one of the top CRM'S. SSRN (pp. 1-9).

[17]. Sutheebanjard, P., & Premchaiswadi, W. (2010, November). QR-code generator. In 2010 Eighth International Conference on ICT and Knowledge Engineering (pp. 89-92). IEEE.

[18]. Yang, Z., Yang, K., Lei, L., Zheng, K., & Leung, V. C. ( 2018 ) . Blockchain-based decentralized t rust management in vehicular networks. IEEE Internet of Things Journal, 6(2), 1495-1505.

[19]. Yim, J., & Lee, G. (2014). Design and implementation of a user management system. International Information Institute (Tokyo). Information, 17(10 (A)), 5009-5014.

Full Article (HTML)

Pdf

Research Paper

Development of Mobile-Based Application of Crime Reporting and Handling in Malawi Police Service

Fadess Gongolo* , Chipatso Medi, Mtende Mkandawire*

*-*** Department of Computer Science, DMI St. John the Baptist University, Lilongwe, Malawi.

Gongolo, F., Medi, C., and Mkandawire, M. (2024). Development of Mobile-Based Application of Crime Reporting and Handling in Malawi Police Service. i-manager’s Journal on Mobile Applications & Technologies, 11(1), 22-32. https://doi.org/10.26634/jmt.11.1.20690

Abstract

Crime is increasing worldwide, and quick reporting of crimes is a very important aspect of anti-crime efforts. This problem is noticeable in Malawi, as people often refrain from reporting or sharing information due to the perceived lack of professionalism among some police officers within the security system, despite the presence of professional officers in the Malawi Police Service. With the increase in smartphone usage in Malawi, an opportunity arises to address this issue by tapping into the gap in incident reporting. Developing a mobile-based application is the proposed solution that can facilitate the reporting of crimes through mobile phones. The mobile web-based application will be built on the Flutter platform and will be simultaneously developed with a web-based application using Android and VScode languages to supplement its functionality, with Firebase utilized as the database server. This solution includes an administrative web- based backend accessible to the Malawi Police Service, allowing them to access detailed information on criminal activities. The mobile application emerges as a solution to the way users report crimes, enabling them to report any crime occurring in their locality easily.

References

[1]. Acharya, K. (2022). Online Crime Reporting System Project. SSRN.

[2]. Barrow, F. J. (2019). Criminal Record Management System in the Perspective of Somalia. GRIN Verlag.

[3]. Chauhan. P. (2020). Crime Management System - A Review.

[4]. Duffour, D., Asante, C. Y., & Acheampong, A. A. (2022). GIS mobile application for crime reporting and monitoring. Ghana Journal of Technology, 6(2), 20-27.

[5]. Gallera, J. M. (2023). Development of crime and incident reporting mobile application with SMS notification. International Research Journal of Advanced Engineering and Science, 8(2), 63-66.

[6]. Ganiron Jr, T. U., Chen, J. S., Dela Cruz, R., & Pelacio, J. G. (2019). Development of an online crime management & reporting system. World Scientific News, (131), 164-180.

[7]. Gawar Dak, S. (2018). Development of Web-Based Application for Crime Report Handling in Police Force: A Case of Jubek State, South Sudan National Police Services (Doctoral dissertation, Kampala International University).

[8]. Jesil, S. G., Basant, P. R., & Pratishvir, R. (2018). Crime reporting system using android application. International Journal of Pure and Applied Mathematics, 119(7), 533- 538.

[9]. Mishra, S. (2022). Website Development of Crime Management System. Research Gate.

[10]. Mohanan, M. M., Loganathan, D., & Nisha, M. (2019). C App - A mobile app for crime report. International Journal of Computer Science and Network (IJCSN), 8(3), 294-299.

[11]. Patnaik, A. (2017). Crime reporting system project on Android.

[12]. Phuthego, F., & Al-Turjman, F. (2021). Intelligent mobile application for crime reporting in the Heterogenous IoT Era. Real-Time Intelligence for Heterogeneous Networks: Applications, Challenges, and Scenarios in IoT HetNets (pp. 149-170).

[13]. Rathnayake, R. M. L. D. (2022). Online Criminal Reporting and Management System (Doctoral dissertation, University of Colombo School of Computing).

[14]. Sandamali, R. (2019). Mobile Based Crime Reporting App (Doctoral dissertation, University of Colombo School of Computing).

Full Article (HTML)

Pdf

Research Paper

Rural Well Water Management and Monitoring System

Ephraim Bwanausi* , Pempho Jimu**

*-** Department of Computer Science, DMI - St. John the Baptist University, Lilongwe, Malawi.

Bwanausi, E., and Jimu, P. (2024). Rural Well Water Management and Monitoring System. i-manager’s Journal on Mobile Applications & Technologies, 11(1), 33-40. https://doi.org/10.26634/jmt.11.1.20720

Abstract

This paper aims to transform rural communities' use of water resources. Modern sensor technologies are integrated into an all-inclusive system to enable real-time monitoring and prompt identification of anomalies and contamination. Well water information is more accurate and reliable when entered automatically, providing solid groundwork for informed decision-making. The technology combines user-friendly interfaces with a proactive maintenance schedule to enable communities to maintain the longevity of their wells and the quality of their water. This work not only tackles the difficulties associated with managing well water in rural areas but also improves the general well-being and environmental preservation of these communities by endorsing sustainable water management techniques.

References

[1]. Anthonj, C., Fleming, L., Cronk, R., Godfrey, S., Ambelu, A., Bevan, J., & Bartram, J. (2018). Improving monitoring and water point functionality in rural Ethiopia. Water, 10(11), 1591.

[2]. Klug, T., Cronk, R., Shields, K. F., & Bartram, J. (2018). A categorization of water system breakdowns: Evidence from Liberia, Nigeria, Tanzania, and Uganda. Science of the Total Environment, 619, 1126-1132.

[3]. Kulinkina, A. V., Kosinski, K. C., Liss, A., Adjei, M. N., Ayamgah, G. A., Webb, P., & Naumova, E. N. (2016). Piped water consumption in Ghana: A case study of temporal and spatial patterns of clean water demand relative to alternative water sources in rural small towns. Science of the Total Environment, 559, 291-301.

[4]. Le, A. (2015). Ultrasonic sensing basics for liquid level sensing, flow sensing, and fluid identification applications. Texas Instruments Application Report SNAA220A, (pp. 1-10).

[5]. Loyola, L. G., & Lacatan, L. L. (2020). Water quality evaluation system for prawn (Penaeus monodon) using IoT device and decision tree algorithm. Journal of Critical Reviews, 7(8), 983-988.

[6]. Postolache, O., Girao, P., Pereira, M., & Ramos, H. (2002, May). An IR turbidity sensor: Design and application [virtual instrument]. In IMTC/2002. Proceedings of the 19th IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No. 00CH37276), 1, 535-539. IEEE.

[7]. Priya, S. K., Shenbagalakshmi, G., & Revathi, T. (2019). Architecture of smart sensors for real time drinking water quality and contamination detection in water distributed mains. Science and Technology, 22(3-4), 202-214.

[8]. Reed, R., Godfrey, S., Kayaga, S., Reed, B., Rouse, J., Fisher, J., & Odhiambo, F. (2013). Technical Notes on Drinking-Water, Sanitation and Hygiene in Emergencies. Loughborough University.

[9]. Tussupova, K., Hjorth, P., & Berndtsson, R. (2016). Access to drinking water and sanitation in rural Kazakhstan. International Journal of Environmental Research and Public Health, 13(11), 1115.

[10]. Vergina, S. A., Kayalvizhi, S., Bhavadharini, R., & Kalpana Devi, S. (2020). A real time water quality monitoring using machine learning algorithm. European Journal of Molecular and Clinical Medicine, 7(8), 2035-2041.

[11]. Zulkifli, C. Z., Garfan, S., Talal, M., Alamoodi, A. H., Alamleh, A., Ahmaro, I. Y., & Chiang, H. H. (2022). IoT-based water monitoring systems: A systematic review. Water, 14(22), 3621.

Full Article (HTML)

Pdf

Review Paper

Exploring the Adoption of Blockchain Technology in Africa: Insights from Direct Observation and Literature Review

Mboungou Mouyabi Seke*

University of the Witwatersrand, Johannesburg, Republic of South Africa.

Seke, M. M. (2024). Exploring the Adoption of Blockchain Technology in Africa: Insights from Direct Observation and Literature Review. i-manager’s Journal on Mobile Applications & Technologies, 11(1), 41-54. https://doi.org/10.26634/jmt.11.1.20456

Abstract

This study explores the implementation and use of blockchain technology in diverse sectors throughout Africa. The blockchain technology has garnered international recognition owing to its capacity to revolutionize business operations, improve transparency, and foster socioeconomic progress. Nevertheless, the application of this technology in Africa presents distinct challenges and possibilities. By employing both firsthand observations and a review of the existing literature, this study seeks to present a thorough understanding of the present status, obstacles, and potential linked to the integration of blockchain technology in Africa. This paper draws upon perspectives from various reputable sources within the realm of blockchain technology integration. The objective of this paper is to provide a nuanced understanding of the hurdles, possibilities, and factors that impact the adoption of blockchain technology in Africa. This study adds to the current body of literature by illuminating the unique circumstances surrounding blockchain adoption on the African continent, thereby enhancing the global conversation on this topic.

References

[1]. Abdelmaboud, A., Ahmed, A. I. A., Abaker, M., Eisa, T. A. E., Albasheer, H., Ghorashi, S. A., & Karim, F. K. (2022). Blockchain for IoT applications: Taxonomy, platforms, recent advances, challenges and future research directions. Electronics, 11(4), 630.

[2]. Abdulhakeem, S. A., & Hu, Q. (2021). Powered by Blockchain technology, DeFi (Decentralized Finance) strives to increase financial inclusion of the unbanked by reshaping the world financial system. Modern Economy, 12(01), 1.

[3]. Adams, I. E., Van Belle, J. P., & Oosterwyk, G. (2023, June). Investigating the state of blockchain adoption in the South African finance industry. In 2023 18th Iberian Conference on Information Systems and Technologies (CISTI) (pp. 1-6). IEEE.

[4]. Aggarwal, S., & Kumar, N. (2021). Core components of blockchain. In Advances in Computers, 121, 193-209. Elsevier.

[5]. Ajene, E. (2022, September). The Most Exciting Applications of Cryptocurrencies & Blockchain in the African Context. Afridigest.

[6]. Alaassar, A., Mention, A. L., & Aas, T. H. (2021). Exploring a new incubation model for FinTechs: Regulatory sandboxes. Technovation, 103, 102237.

[7]. Andoni, M., Robu, V., Flynn, D., Abram, S., Geach, D., Jenkins, D., McCallum, P., & Peacock, A. (2019). Blockchain technology in the energy sector: A systematic review of challenges and opportunities. Renewable and Sustainable Energy Reviews, 100, 143-174.

[8]. Andreev, R. A., Andreeva, P. A., Krotov, L. N., & Krotova, E. L. (2018). Review of blockchain technology: Types of blockchain and their application. Intellekt. Sist. Proizv, 16(1), 11-14.

[9]. Bag, S., Viktorovich, D. A., Sahu, A. K., & Sahu, A. K. (2020). Barriers to adoption of blockchain technology in green supply chain management. Journal of Global Operations and Strategic Sourcing, 14(1), 104-133.

[10]. Bamidele, J. (2022, September). Blockchain Technology: The Future of Africa's Digital Economy. AIBC.

[11]. Barski, C. (2019). Distributed Ledger Registry System. Google Patents.

[12]. Batubara, F. R., Ubacht, J., & Janssen, M. (2018, May). Challenges of blockchain technology adoption for e-government: A systematic literature review. In Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age (pp. 1-9).

[13]. Beaumier, G., Kalomeni, K., Campbell-Verduyn, M., Lenglet, M., Natile, S., Papin, M., Rodima-Taylor, D., & Zhang, F. (2020). Global regulations for a digital economy: Between new and old challenges. Global Policy, 11(4), 515-522.

[14]. Kumar Bhardwaj, A., Garg, A., & Gajpal, Y. (2021). Determinants of blockchain technology adoption in supply chains by small and medium enterprises (SMEs) in India. Mathematical Problems in Engineering, 2021, 1-14.

[15]. Chawla, S. (2023, July). Blockchain Unlocked: How This Revolutionary Technology is Changing the World as We Know It. TechSupper.

[16]. Chen, N. P., Shen, K. Y., & Liang, C. J. (2021). Hybrid decision model for evaluating blockchain business strategy: A bank's perspective. Sustainability, 13(11), 5809.

[17]. Choi, D., Chung, C. Y., Seyha, T., & Young, J. (2020). Factors affecting organizations' resistance to the adoption of blockchain technology in supply networks. Sustainability, 12(21), 8882.

[18]. Choudhary, A. S. (2022, September). Concept of Blockchain Technology. Analytics Vidhya.

[19]. Clohessy, T., & Acton, T. (2019). Investigating the influence of organizational factors on blockchain adoption. Journal of Fintech, Blockchain, and Smart Contracts, 2(3), 17-20.

[20]. Cole, R., Stevenson, M., & Aitken, J. (2019). Blockchain technology: implications for operations and supply chain management. Supply Chain Management: An International Journal, 24(4), 469-483.

[21]. Demir, S. (2023). Blockchain technology. In Smart and Sustainable Operations and Supply Chain Management in Industry 4.0 (pp. 367-384). CRC Press.

[22]. Dowelani, M., Okoro, C., & Olaleye, A. (2022). Factors influencing blockchain adoption in the South African clearing and settlement industry. South African Journal of Economic and Management Sciences, 25(1), 1-11.

[23]. Ersotelos, N., Bottarelli, M., Al-Khateeb, H., Epiphaniou, G., Alhaboby, Z., Pillai, P., & Aggoun, A. (2020). Blockchain and IoMT against physical abuse: Bullying in schools as a case study. Journal of Sensor and Actuator Networks, 10(1), 1.

[24]. Fehder, D., & Hochberg, Y. (2014). Accelerators and the regional supply of venture capital investment. SSRN Electronic Journal (pp. 1-40).

[25]. Futcher, C., Farrar, K., & Harris, D. (2018). A distributed ledger.

[26]. Ghode, D., Yadav, V., Jain, R., & Soni, G. (2020). Adoption of blockchain in supply chain: An analysis of influencing factors. Journal of Enterprise Information Management, 33(3), 437-456.

[27]. Hamdan, I. K., Aziguli, W., Zhang, D., Sumarliah, E., & Usmanova, K. (2022). Forecasting blockchain adoption in supply chains based on machine learning: Evidence from Palestinian food SMEs. British Food Journal, 124(12), 4592-4609.

[28]. Javaid, M., Haleem, A., Singh, R. P., Suman, R., & Khan, S. (2022). A review of Blockchain Technology applications for financial services. BenchCouncil Transactions on Benchmarks, Standards and Evaluations, 2(3), 100073.

[29]. Karame, G., & Bohli, J. M. (2019). System and method for secure transaction verification in a distributed ledger system. Google Patents.

[30]. Kirillova, E. A., Bogdan, V. V., Filippov, P. M., Tkachev, V. N., & Zulfugarzade, T. E. (2020). The main features of blockchain technologies classification. Compusoft, 9(10), 3900-3905.

[31]. Gyimah, K. N., Asiedu, E., & Antwi, F. (2023). Adoption of blockchain technology in the banking sector of Ghana: Opportunities and challenges. African Journal of Business Management, 17(2), 32-42.

[32]. Kouhizadeh, M., Saberi, S., & Sarkis, J. (2021). Blockchain technology and the sustainable supply chain: Theoretically exploring adoption barriers. International Journal of Production Economics, 231, 107831.

[33]. Singh, A. K., Kumar, V. P., Dehdasht, G., Mohandes, S. R., Manu, P., & Rahimian, F. P. (2023). Investigating the barriers to the adoption of blockchain technology in sustainable construction projects. Journal of Cleaner Production, 403, 136840.

[34]. Kumar, T., & Kaur, S. (2022). Blockchain technology: Present and future perspectives. In Applications, Challenges, and Opportunities of Blockchain Technology in Banking and Insurance (pp. 258-265). IGI Global.

[35]. Kuo, T. T., Kim, H. E., & Ohno-Machado, L. (2017). Blockchain distributed ledger technologies for biomedical and health care applications. Journal of the American Medical Informatics Association, 24(6), 1211-1220.

[36]. Kuo, T. T., Zavaleta Rojas, H., & Ohno-Machado, L. (2019). Comparison of blockchain platforms: A systematic review and healthcare examples. Journal of the American Medical Informatics Association, 26(5), 462-478.

[37]. Mbaidin, H. O., Alsmairat, M. A., & Al-Adaileh, R. ( 2023 ) . B lockchain adoption for sustainable development in developing countries: Challenges and opportunities in the banking sector. International Journal of Information Management Data Insights, 3(2), 100199.

[38]. Marengo, A., & Pagano, A. (2023). Investigating the factors influencing the adoption of blockchain technology across different countries and industries: A systematic literature review. Electronics, 12(14), 3006.

[39]. Matlebjane, D. A., & Ndayizigamiye, P. (2022). Antecedents of the adoption of blockchain to enhance patients' health information management in South Africa. South African Journal of Information Management, 24(1), 1-9.

[40]. Mazambani, L., & Mutambara, E. (2020). Predicting FinTech innovation adoption in South Africa: The case of cryptocurrency. African Journal of Economic and Management Studies, 11(1), 30-50.

[41]. Mhlanga, D. (2023). Block chain technology for digital financial inclusion in the industry 4.0, towards sustainable development?. Frontiers in Blockchain, 6, 1035405.

[42]. Mhlanga, D. (2023b). The pivotal role of blockchain technology in Africa's development: A comprehensive review. SSRN (pp.1-18.)

[43]. Mishra, R., Singh, R. K., Kumar, S., Mangla, S. K., & Kumar, V. (2023). Critical success factors of blockchain technology adoption for sustainable and resilient operations in the banking industry during an uncertain business environment. Electronic Commerce Research (1-35).

[44]. Molati, K., Ilorah, A. I., & Moeti, M. N. (2021, October). Determinant factors influencing the adoption of blockchain across SMEs in South Africa. In 2021 15th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS) (pp. 265-269). IEEE.

[45]. Mthimkhulu, A., & Jokonya, O. (2022). Exploring the factors affecting the adoption of blockchain technology in the supply chain and logistic industry. Journal of Transport and Supply Chain Management, 16, 750.

[46]. Muzammil, M., & Vihari, N. S. (2020). Determinants for the adoption of regulatory technology (regtech) services by the companies in United Arab Emirates: An MCDM approach. In Central Electricity Regulatory Commission (CERC) (pp. 397-413).

[47]. Neumeyer, X., Santos, S. C., & Morris, M. H. (2020). Overcoming barriers to technology adoption when fostering entrepreneurship among the poor: The role of technology and digital literacy. IEEE Transactions on Engineering Management, 68(6), 1605-1618.

[48]. Okada, H., Yamasaki, S., & Bracamonte, V. (2017, February). Proposed classification of blockchains based on authority and incentive dimensions. In 2017 19th International Conference on Advanced Communication Technology (ICACT) (pp. 593-597). IEEE.

[49]. Park, J. (2021). Promises and challenges of Blockchain in education. Smart Learning Environments, 8(1), 33.

[50]. Perera, P. A. S. N., & Abeygunasekera, A. W. J. C. (2022). Blockchain adoption in accounting and auditing: A qualitative inquiry in Sri Lanka. Colombo Business Journal, 13(1), 1-31.

[51]. Pierce, R. D., Madhavan, A. S., & Liberman, S. (2021). Blockchain including linked digital assets. Google Patents.

[52]. Rahmani, M. K. I. (2022). Blockchain technology: Principles and algorithms. In Blockchain Technology and Computational Excellence for Society 5.0 (pp. 16-27). IGI Global.

[53]. Rejeb, A., Rejeb, K., Keogh, J. G., & Zailani, S. (2022). Barriers to blockchain adoption in the circular economy: A fuzzy Delphi and best-worst approach. Sustainability, 14(6), 3611.

[54]. Sabry, S. S., Kaittan, N. M., & Majeed, I. (2019). The road to the blockchain technology: Concept and types. Periodicals of Engineering and Natural Sciences, 7(4), 1821-1832.

[55]. Shava, E., & Mhlanga, D. (2023). Mitigating bureaucratic inefficiencies through blockchain technology in Africa. Frontiers in Blockchain, 6, 1053555.

[56]. Sial, M. F. K. (2019, June). Blockchain Technology – Prospects, Challenges and Opportunities. IEEE Blockchain Technical Community.

[57]. Smidt, H. J., & Jokonya, O. (2022). Factors affecting digital technology adoption by small-scale farmers in agriculture value chains (AVCs) in South Africa. Information Technology for Development, 28(3), 558-584.

[58]. Steenmans, K., Taylor, P., & Steenmans, I. (2021, December). Regulatory opportunities and challenges for blockchain adoption for circular economies. In 2021 IEEE International Conference on Blockchain (Blockchain) (pp. 572-577). IEEE.

[59]. Tanwar, S. (2022). Distributed consensus for permissioned blockchain. In Blockchain Technology: From Theory to Practice (pp. 211–249). Springer Nature.

[60]. Thakur, K., Pathan, A. S. K., & Ismat, S. (2023). Blockchain technology. In Emerging ICT Technologies and Cybersecurity: From AI and ML to Other Futuristic Technologies. Springer (pp. 125–145).

[61]. Thegeya, A. (2023). The economics of blockchain within Africa. In Data Governance and Policy in Africa. Springer International Publishing (pp. 179-202).

[62]. Thomas, R. H., & Castinado, J. B. (2018). Distributed ledger system for providing aggregate tracking and threshold triggering. Google Patents.

[63]. Thomson, C., & Beale, R. (2021). Is blockchain ready for orthopaedics? A systematic review. Journal of Clinical Orthopaedics and Trauma, 23, 101615.

[64]. Vaghasana, M., & Suliya, D. (2023). Review on precise of blockchain technology. International Journal of Scientific Research in Engineering and Management, 8(5), 1-11.

[65]. Wegrzyn, K. E., & Wang, E. (2021, August). Types of Blockchain: Public, Private, or Something in Between. Foley & Lardner LLP.

[66]. Yano, M., Dai, C., Masuda, K., & Kishimoto, Y. (2020). Blockchain business and its regulation. Blockchain and Crypt Currency (107-127).

[67]. Yli-Huumo, J., Ko, D., Choi, S., Park, S., & Smolander, K. (2016). Where is current research on blockchain technology? - A systematic review. PloS one, 11(10), e0163477.

[68]. Zhang, R., Xue, R., & Liu, L. (2019). Security and privacy on blockchain. ACM Computing Surveys (CSUR), 52(3), 1-34.

i-manager's Journal on Mobile Applications and Technologies (JMT)

Current Issue Vol. 11 Issue 1

Most Read

Most Cited

Volume 11 Issue 1 January - June 2024

Wireless Communication using Shortest Job First Scheduling Algorithm for Temporary Network

K. Thamizhmaran*

Deptartment of Electronics Communication Engineering, Government College of Engineering, Bodinayakkanur, Theni, Tamilnadu, India.

Thamizhmaran, K. (2024). Wireless Communication using Shortest Job First Scheduling Algorithm for Temporary Network. i-manager’s Journal on Mobile Applications & Technologies, 11(1), 1-4. https://doi.org/10.26634/jmt.11.1.20408

Abstract

References

Full Article (HTML)

Pdf

Mental Health Support App with Mood Tracking and Resources

Melvin Mwakiseghire* , Pempho Jimu**

*-** DMI St. John the Baptist University, Lilongwe, Malawi.

Mwakiseghire, M., and Jimu, P. (2024). Mental Health Support App with Mood Tracking and Resources. i-manager’s Journal on Mobile Applications & Technologies, 11(1), 5-11. https://doi.org/10.26634/jmt.11.1.20662

Abstract

References

Full Article (HTML)

Pdf

Centralized E-Warranty System with Blockchain Security

Nitesh Jadhav* , Sumit Mourya**, Saurabh Sharma***, Shailesh Pandey****, Vidya Kawtikwar*****

*-***** Department of Computer Engineering, St. John College of Engineering and Management, Maharashtra, India.

Jadhav, N., Mourya, S., Sharma, S., Pandey, S., and Kawtikwar, V. (2024). Centralized E-Warranty System with Blockchain Security. i-manager’s Journal on Mobile Applications & Technologies, 11(1), 12-21. https://doi.org/10.26634/jmt.11.1.20504

Abstract

References

Full Article (HTML)

Pdf

Development of Mobile-Based Application of Crime Reporting and Handling in Malawi Police Service

Fadess Gongolo* , Chipatso Medi**, Mtende Mkandawire***

*-*** Department of Computer Science, DMI St. John the Baptist University, Lilongwe, Malawi.

Gongolo, F., Medi, C., and Mkandawire, M. (2024). Development of Mobile-Based Application of Crime Reporting and Handling in Malawi Police Service. i-manager’s Journal on Mobile Applications & Technologies, 11(1), 22-32. https://doi.org/10.26634/jmt.11.1.20690

Abstract

References

Full Article (HTML)

Pdf

Rural Well Water Management and Monitoring System

Ephraim Bwanausi* , Pempho Jimu**

*-** Department of Computer Science, DMI - St. John the Baptist University, Lilongwe, Malawi.

Bwanausi, E., and Jimu, P. (2024). Rural Well Water Management and Monitoring System. i-manager’s Journal on Mobile Applications & Technologies, 11(1), 33-40. https://doi.org/10.26634/jmt.11.1.20720

Abstract

References

Full Article (HTML)

Pdf

Exploring the Adoption of Blockchain Technology in Africa: Insights from Direct Observation and Literature Review

Mboungou Mouyabi Seke*

University of the Witwatersrand, Johannesburg, Republic of South Africa.

Seke, M. M. (2024). Exploring the Adoption of Blockchain Technology in Africa: Insights from Direct Observation and Literature Review. i-manager’s Journal on Mobile Applications & Technologies, 11(1), 41-54. https://doi.org/10.26634/jmt.11.1.20456

Abstract

References

Full Article (HTML)

Pdf

Nitesh Jadhav* , Sumit Mourya, Saurabh Sharma, Shailesh Pandey, Vidya Kawtikwar

Fadess Gongolo* , Chipatso Medi, Mtende Mkandawire*