Journal of Information Systems Engineering and Management

Journal of Information Systems Engineering and Management, 2024 - Volume 9 Issue 2, Article No: 23945
https://doi.org/10.55267/iadt.07.14748

Published Online: 24 Apr 2024

Views: 404 | Downloads: 232

Big Data usage and Artificial Intelligence (AI) technology combined offer a potential approach to solving challenging problems. AI-driven solutions provide insightful analysis and creative solutions by utilizing the power of big data analytics. With an emphasis on the mediating role of technological literacy and the moderating effect of resource availability, this study investigates the effects of low-cost techniques, the usage of Big Data, and the integration of Artificial Intelligence (AI) on sustainability in landscape design. The purpose of this study is to look at the intricate connections between these factors and how they affect sustainable landscape design methods and results as a whole. A standardized questionnaire was answered by a sample of 458 landscape experts as part of a quantitative approach. Smart PLS (Partial Least Squares), which incorporates evaluations of measurement models, structural models, and mediation and moderation studies, was utilized for data analysis. The study found that using Big Data, implementing low-cost techniques, and incorporating AI all had very favourable effects on sustainability in landscape design. The efficient use of Big Data and AI was found to be mediated by technological literacy, highlighting the importance of this concept in this context. Additionally, resource availability emerged as a critical moderating factor, influencing the strength of these relationships. This research contributes to the field by offering a holistic understanding of the dynamics within sustainable landscape design, emphasizing the importance of integration of AI and utilization of Big Data. It provides practical insights for landscape professionals, informs policy development, and advances educational curricula about AI and Big Data in landscape architecture. The study's limitations include potential response bias due to self-reported data and the cross-sectional design, which restricts the establishment of causal relationships. Additionally, the study focused on professionals, limiting the generalizability of findings to broader community perspectives.

Implementation of Low-cost Strategies Utilization of Big Data Integration of AI Technological Literacy Sustainability Resource Availability

• Adewale Alola, A., Ozturk, I., & Bekun, F. V. (2021). Is clean energy prosperity and technological innovation rapidly mitigating sustainable energy-development deficit in selected sub-Saharan Africa? A myth or reality. Energy Policy, 158, 112520.
• Al Ghatrifi, M. O. M., Al Amairi, J. S. S., & Thottoli, M. M. (2023). Surfing the technology wave: An international perspective on enhancing teaching and learning in accounting. Computers and Education: Artificial Intelligence, 4, 100144.
• Allahyar, M., & Kazemi, F. (2021). Effect of landscape design elements on promoting neuropsychological health of children. Urban Forestry & Urban Greening, 65, 127333.
• Amran, M., Murali, G., Makul, N., Tang, W. C., & Eid Alluqmani, A. (2023). Sustainable development of eco-friendly ultra-high performance concrete (UHPC): Cost, carbon emission, and structural ductility. Construction and Building Materials, 398, 132477.
• Anejionu, O. C. D., Thakuriah, P. (Vonu), McHugh, A., Sun, Y., McArthur, D., Mason, P., & Walpole, R. (2019). Spatial urban data system: A cloud-enabled big data infrastructure for social and economic urban analytics. Future Generation Computer Systems, 98, 456-473.
• Aparo, N. O., Odongo, W., & De Steur, H. (2022). Unraveling heterogeneity in farmer’s adoption of mobile phone technologies: A systematic review. Technological Forecasting and Social Change, 185, 122048.
• Astapati, A. Das, & Nath, S. (2023). The complex interplay between plant-microbe and virus interactions in sustainable agriculture: Harnessing phytomicrobiomes for enhanced soil health, designer plants, resource use efficiency, and food security. Crop Design, 2(1), 100028.
• Azuazu, I. N., Sam, K., Campo, P., & Coulon, F. (2023). Challenges and opportunities for low-carbon remediation in the Niger Delta: Towards sustainable environmental management. Science of The Total Environment, 900, 165739.
• Başkent, E. Z. (2023). Assessing and developing improvement strategies for the protected area management (PAM) planning process/effectiveness in Turkey. Environmental Development, 46, 100867.
• Bibri, S. E. (2020). Compact urbanism and the synergic potential of its integration with data-driven smart urbanism : An extensive interdisciplinary literature review. Land Use Policy, 97, 104703.
• Boskabadi, A., Mirmozaffari, M., Yazdani, R., & Farahani, A. (2022). Design of a distribution network in a multi-product, multi-period green supply chain system under demand uncertainty. Sustainable Operations and Computers, 3, 226-237.
• Cain, J., & Pino, Z. (2023). Navigating design, data, and decision in an age of uncertainty. She Ji: The Journal of Design, Economics, and Innovation, 9(2), 197-212.
• Costa Melo, D. I., Queiroz, G. A., Alves Junior, P. N., Sousa, T. B. de, Yushimito, W. F., & Pereira, J. (2023). Sustainable digital transformation in small and medium enterprises (SMEs): A review on performance. Heliyon, 9(3), e13908.
• Das, S., & De, S. (2023). Strengths, weaknesses, opportunities and threats determination and strategy prioritization using hesitant fuzzy decision-making approach for better energy sustainability: Demonstration with Indian data. Energy Conversion and Management, 281, 116847.
• De Souza, M., Pereira, G. M., Lopes de Sousa Jabbour, A. B., Chiappetta Jabbour, C. J., Trento, L. R., Borchardt, M., & Zvirtes, L. (2021). A digitally enabled circular economy for mitigating food waste: Understanding innovative marketing strategies in the context of an emerging economy. Technological Forecasting and Social Change, 173, 121062.
• Dooyum Uyeh, D., Gebremedhin, K. G., & Hiablie, S. (2023). Perspectives on the strategic importance of digitalization for Modernizing African Agriculture. Computers and Electronics in Agriculture, 211, 107972.
• Dubey, R., Bryde, D. J., Dwivedi, Y. K., Graham, G., & Foropon, C. (2022). Impact of artificial intelligence-driven big data analytics culture on agility and resilience in humanitarian supply chain: A practice-based view. International Journal of Production Economics, 250, 108618.
• El-Haddadeh, R., Osmani, M., Hindi, N., & Fadlalla, A. (2021). Value creation for realising the sustainable development goals: Fostering organisational adoption of big data analytics. Journal of Business Research, 131, 402-410.
• Fahmy, M., Elwy, I., & Mahmoud, S. (2022). Back from parcel planning to future heritage of urban courtyard: The 5th generation of Egyptian cities as a sustainable design manifesto for neo-arid neighbourhoods. Sustainable Cities and Society, 87, 104155.
• Gavali, H. R., & Ralegaonkar, R. V. (2020). Design of eco-efficient housing with sustainable alkali-activated bricks. Journal of Cleaner Production, 254, 120061.
• Gil, G., Casagrande, D. E., Cortés, L. P., & Verschae, R. (2023). Why the low adoption of robotics in the farms? Challenges for the establishment of commercial agricultural robots. Smart Agricultural Technology, 3, 100069.
• Goldenthal, E., Park, J., Liu, S. X., Mieczkowski, H., & Hancock, J. T. (2021). Not all AI are equal: Exploring the accessibility of AI-mediated communication technology. Computers in Human Behavior, 125, 106975.
• Goodarzi, P., Ansari, M., Mahdavinejad, M., Russo, A., Haghighatbin, M., & Pour Rahimian, F. (2023). Morphological analysis of historical landscapes based on cultural DNA approach. Digital Applications in Archaeology and Cultural Heritage, 30, e00277.
• Harkness, C., Areal, F. J., Semenov, M. A., Senapati, N., Shield, I. F., & Bishop, J. (2021). Stability of farm income: The role of agricultural diversity and agri-environment scheme payments. Agricultural Systems, 187, 103009.
• Holzinger, A., Keiblinger, K., Holub, P., Zatloukal, K., & Müller, H. (2023). AI for life: Trends in artificial intelligence for biotechnology. New Biotechnology, 74, 16-24.
• Hossain, M. A., Akter, S., Yanamandram, V., & Wamba, S. F. (2023). Data-driven market effectiveness: The role of a sustained customer analytics capability in business operations. Technological Forecasting and Social Change, 194, 122745.
• Juárez-Hernández, S. (2021). Energy, environmental, resource recovery, and economic dimensions of municipal solid waste management paths in Mexico City. Waste Management, 136, 321-336.
• Kalaboukas, K., Kiritsis, D., & Arampatzis, G. (2023). Governance framework for autonomous and cognitive digital twins in agile supply chains. Computers in Industry, 146, 103857.
• Khan, A. K., & Faisal, S. M. (2023). The impact on the employees through the use of AI tools in accountancy. Materials Today: Proceedings, 80, 2814-2818.
• Kim, W. (2022). Shopping with AI: Consumers' perceived autonomy in the age of AI. In Human-Centered Artificial Intelligence (pp. 157-171). Cambridge, UK: Academic Press.
• Kirkman, R., & Voulvoulis, N. (2017). The role of public communication in decision making for waste management infrastructure. Journal of Environmental Management, 203, 640-647.
• Knudsen, E. S., Lien, L. B., Timmermans, B., Belik, I., & Pandey, S. (2021). Stability in turbulent times? The effect of digitalization on the sustainability of competitive advantage. Journal of Business Research, 128, 360-369.
• Kong, L., Liu, Z., & Wu, J. (2020). A systematic review of big data-based urban sustainability research: State-of-the-science and future directions. Journal of Cleaner Production, 273, 123142.
• Kraus, S., Ferraris, A., & Bertello, A. (2023). The future of work: How innovation and digitalization re-shape the workplace. Journal of Innovation & Knowledge, 8(4), 100438.
• Kumar, M., Kyriakopoulos, G. L., Jesús Belmonte-Ureña, L., Jokhan, A., Chand, A. A., Singh, V., & Mamun, K. A. (2022). Increased digital resource consumption in higher educational institutions and the artificial intelligence role in informing decisions related to student performance. Sustainability, 14(4), 2377.
• Kumar, P., Pillai, R., Kumar, N., & Tabash, M. I. (2023). The interplay of skills, digital financial literacy, capability, and autonomy in financial decision making and well-being. Borsa Istanbul Review, 23(1), 169-183.
• Liu, S., Gao, L., Latif, K., Dar, A. A., Zia-UR-Rehman, M., & Baig, S. A. (2021). The behavioral role of digital economy adaptation in sustainable financial literacy and financial inclusion. Frontiers in Psychology, 12.
• Lu, X., Liu, R., & Xia, L. (2023). Landscape planning and design and visual evaluation for landscape protection of geological environment. Journal of King Saud University - Science, 35(6), 102735.
• Lu, Y., Xu, S., Liu, S., & Wu, J. (2022). An approach to urban landscape character assessment: Linking urban big data and machine learning. Sustainable Cities and Society, 83, 103983.
• Mariani, M. M., & Nambisan, S. (2021). Innovation analytics and digital innovation experimentation: The rise of research-driven online review platforms. Technological Forecasting and Social Change, 172, 121009.
• Maureen, I. Y., van der Meij, H., & de Jong, T. (2018). Supporting literacy and digital literacy development in early childhood education using storytelling activities. International Journal of Early Childhood, 50(3), 371-389.
• Meshram, P., Pandey, B. D., & Abhilash. (2019). Perspective of availability and sustainable recycling prospects of metals in rechargeable batteries—A resource overview. Resources Policy, 60, 9-22.
• Morales-Menendez, R., Ramírez-Mendoza, R. A., & Guevara, A. J. V. (2019). Virtual/Remote labs for automation teaching: A cost effective approach^⁎. IFAC-PapersOnLine, 52(9), 266-271.
• Nabizadeh Rafsanjani, H., & Nabizadeh, A. H. (2023). Towards human-centered Artificial Intelligence (AI) in architecture, engineering, and construction (AEC) industry. Computers in Human Behavior Reports, 11, 100319.
• Newton, J. E., Nettle, R., & Pryce, J. E. (2020). Farming smarter with big data: Insights from the case of Australia’s national dairy herd milk recording scheme. Agricultural Systems, 181, 102811.
• Ormsby, A. A. (2021). Diverse values and benefits of urban sacred natural sites. Trees, Forests and People, 6, 100136.
• Paas, W., San Martín, C., Soriano, B., van Ittersum, M. K., Meuwissen, M. P. M., & Reidsma, P. (2021). Assessing future sustainability and resilience of farming systems with a participatory method: A case study on extensive sheep farming in Huesca, Spain. Ecological Indicators, 132, 108236.
• Ruiz, I., Pompeu, J., Ruano, A., Franco, P., Balbi, S., & Sanz, M. J. (2023). Combined artificial intelligence, sustainable land management, and stakeholder engagement for integrated landscape management in Mediterranean watersheds. Environmental Science & Policy, 145, 217-227.
• Said, Z., Sharma, P., Thi Bich Nhuong, Q., Bora, B. J., Lichtfouse, E., Khalid, H. M., . . . Hoang, A. T. (2023). Intelligent approaches for sustainable management and valorisation of food waste. Bioresource Technology, 377, 128952.
• Sanginesi, F., Millacci, G., Giaccherini, A., Buccianti, A., Fusi, L., Di Benedetto, F., & Pardi, L. (2023). Long term lithium availability and electric mobility: What can we learn from resource assessment? Journal of Geochemical Exploration, 249, 107212.
• Tetteh, N., & Amponsah, O. (2020). Sustainable adoption of smart homes from the Sub-Saharan African perspective. Sustainable Cities and Society, 63, 102434.
• Thadani, H. L., & Go, Y. I. (2021). Integration of solar energy into low-cost housing for sustainable development: Case study in developing countries. Heliyon, 7(12), e08513.
• Tzima, S., Styliaras, G., Bassounas, A., & Tzima, M. (2020). Harnessing the potential of storytelling and mobile technology in intangible cultural heritage: A case study in early childhood education in sustainability. Sustainability (Switzerland), 12(22), 1-22.
• Xu, J. J., & Babaian, T. (2021). Artificial intelligence in business curriculum: The pedagogy and learning outcomes. The International Journal of Management Education, 19(3), 100550.
• Yigitcanlar, T., Kankanamge, N., Regona, M., Ruiz Maldonado, A., Rowan, B., Ryu, A., . . . Li, R. Y. M. (2020). Artificial Intelligence technologies and related urban planning and development concepts: How are they perceived and utilized in Australia?. Journal of Open Innovation: Technology, Market, and Complexity, 6(4), 187.
• Yotamu, N., Chiweza, C., & Barbour, K. D. (2023). Congenital fetal neck anomaly—Diagnostic and therapeutic dilemma in low-resource setting: Case report. AJOG Global Reports, 3(3), 100242.

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