Open Access
Issue |
ITM Web Conf.
Volume 51, 2023
International Conference on Exploring Service Science (IESS 2.3)
|
|
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Article Number | 03002 | |
Number of page(s) | 14 | |
Section | Digital Innovation & Transformation | |
DOI | https://doi.org/10.1051/itmconf/20235103002 | |
Published online | 07 February 2023 |
- Bairagi, A. K., Khondoker, R., Islam, R. (2016), An efficient steganographic approach for protecting communication in the Internet of Things (IoT) critical infrastructures, Information Security Journal: A Global Perspective, 25(4-6), pp. 197-212. [CrossRef] [Google Scholar]
- Shailaja. M., Lokeshwaran, K., Sheik Faritha Begum, S. (2019), Smart Medication Pill Box For Blind People with Pulse Sensor, International Journal of Recent Technology and Engineering, 8(1S2), pp. 388-395. [Google Scholar]
- Adamu, A. A., Wang, D., Salau, A. O., Ajay, O. (2020), An Integrated IoT System Pathway for Smart Cities, International Journal on Emerging Technologies, 11(1). [Google Scholar]
- Bhardwaj, K. K., Banyal, S., Sharma, D. K., Al-Numay, W. (2022), Internet of things based smart city design using fog computing and fuzzy logic, Sustainable Cities and Society, 79, pp. 103712. [CrossRef] [Google Scholar]
- Ranjan, R., Hsu, C. H., Chen, L. Y., Georgakopoulos, D. (2020), Holistic Technologies for Managing Internet of Things Services, IEEE Transactions on Services Computing, 13(4), pp. 597–601. [CrossRef] [Google Scholar]
- Almagrabi, A. O., Al-Otaibi, Y. D., (2020), A Survey of Context-Aware Messaging-Addressing for Sustainable Internet of Things (IoT), sustainability, 12, pp. 4105. [CrossRef] [Google Scholar]
- Chiu, K. T., Alhalabi, W., Pang, S. S. H., de Pablos, P. O., Liu, R. W., Zhao, M., (2017), Disease Diagnosis in Smart Healthcare: Innovation, Technologies and Applications, Sustainability 9, pp. 2309. [CrossRef] [Google Scholar]
- Kamel Boulos, M. N., Peng, VoPham, T., (2019). An overview of GeoAI applications in health and healthcare. Int J Health Geogr, 18 (1),pp.7 [CrossRef] [Google Scholar]
- Munjal, R., Liu, W., Li, X. J., Gutierrez, J., (2020). A Neural Network-Based Sustainable Data Dissemination through Public Transportation for Smart Cities. Sustainability, 12(24), pp. 10327. [CrossRef] [Google Scholar]
- Trencher, G., Karvonen, A. (2017), Stretching “smart”: advancing health and well-being through the smart city agenda, The International Journal of Justice and Sustainability, 24(1). [Google Scholar]
- Guha, S., Kumar, S. (2017), Emergence of Big Data Research in Operations Management, Information Systems, and Healthcare: Past Contributions and Future Roadmap, Production and Operations Management Society, 27(9), pp. 1724–1735. [Google Scholar]
- Alahmari, N., Alswedani, S., Alzahrani, A., Katib, I., Albeshri, A., Mehmood, R. (2022), Musawah: A Data-Driven AI Approach and Tool to Co-Create Healthcare Services with a Case Study on Cancer Disease in Saudi Arabia, Sustainability, 14(6), pp. 3313. [CrossRef] [Google Scholar]
- Anjum, A., Ahmed, T., Khan, A., Ahmad, N., Ahmad, M., Asif, M., Reddy, A. G., Saba, T., Farooq, N. (2018), privacy preserving data by conceptualising smart cities using MIDRAngelization, Sustainable Cities and Society, 40, pp. 326–334. [CrossRef] [Google Scholar]
- Rath, M., Pattanayak, B. (2018), Technological improvement in modern health care applications using Internet of Things (IoT) and proposal of novel health care approach, International Journal of Human Rights in Healthcare, 12(2), pp. 148-162. [Google Scholar]
- Zhang, Y., Li, J., Zheng, D., Chen, X., Li, H. (2017), Towards privacy protection and malicious behavior traceability in smart health, Pers Ubiquit Comput, 21, pp. 815–830. [CrossRef] [Google Scholar]
- Zhuang, H., Zhang, J., Sivaparthipan, C. B., Muthu, B. A. (2020), Sustainable Smart City Building Construction Methods, Sustainability, 12(12), pp. 4947. [CrossRef] [Google Scholar]
- Dritsa, D., Biloria, N., (2018). Towards a multi-scalar framework for smart healthcare. Smart and Sustainable Built Environment, 7(1), pp. 33-52 [CrossRef] [Google Scholar]
- Moore, P., Pham, H. V., (2019). A fog computing model for pervasive connected healthcare in smart environments. Int. J. Grid and Utility Computing, 10(4), pp. 375-391. [CrossRef] [Google Scholar]
- Petrucco, C., Ferranti, C., (2017), Design smart city apps using activity theory, Knowledge Management & E-Learning, 9(4), pp. 499–511. [Google Scholar]
- Ramu, P. S., Boopalan, P., Pham, Q. V., Kumar, P., Maddikunata, R., Huynh-The, T., Alazab, M., Nguyen, T. T., Gadekallu, T. R., (2022), Federated learning enabled digital twins for smart cities: Concepts, recent advances, and future directions, Sustainable Cities and Society, 79, pp. 103663. [CrossRef] [Google Scholar]
- Zhang, B., Peng, G., Xing, F., Chen, S., (2021), Mobile Applications in China’s Smart Cities: State-of-the-Art and Lessons Learned, Journal of Global Information Management, 29(6), pp. 18. [Google Scholar]
- Javed, A. R., Shahzad, F., ur Rehman, S., Zikria, Y. B., Razzak, I., Jalil, Z., Xu, G. (2022), Future smart cities: requirements, emerging technologies, applications, challenges, and future aspects, Cities, 128, pp. 103794. [CrossRef] [Google Scholar]
- Chauhan, A., Jakhar, S. K., Chauhan, C. (2021), The interplay of circular economy with industry 4.0 enabled smart city drivers of healthcare waste disposal, Journal of Cleaner Production, 279, pp. 123854. [CrossRef] [Google Scholar]
- Singh, P, Kaur, R., (2020), An integrated fog and Artificial Intelligence smart health framework to predict and prevent COVID-19, Global Transitions, 2, pp. 283-292. [CrossRef] [Google Scholar]
- Ashraf, J., Kesh, M., Moustafa, N., Abdel-Basset, N., Kurshid, H., Bakhshi, A. D., Mostafa, R. R., (2021), IoTBoT-IDS: A novel statistical learning-enabled botnet detection framework for protecting networks of smart cities, Sustainable Cities and Society, 72, pp. 103041. [CrossRef] [Google Scholar]
- Azzaoui, A. L., Singh, S. K., Park, J. H. (2021), SNS Big Data Analysis Framework for COVID-19 Outbreak Prediction in Smart Healthy City, Sustainable Cities and Society, 71, pp. 102993. [CrossRef] [Google Scholar]
- Gavurova, B., Kelemen, M., Polishchuk, P., (2022), Expert model of risk assessment for the selected components of smart city concept: From safe time to pandemics as COVID-19, Socio-Economic Planning Sciences, 82, pp. 101253. [CrossRef] [Google Scholar]
- Papa, A., Mital, M., Pisano, P., Del Giudice, M., (2020), E-health and well-being monitoring using smart healthcare devices: An empirical investigation, Technological Forecasting & Social Change, 153, pp. 119226. [CrossRef] [Google Scholar]
- Centobelli, P., Cerchione, R., Esposito, E. (2017), Knowledge management in startups: systematic literature review and future research agenda, sustainability, 9(3), p. 361. [CrossRef] [Google Scholar]
- Kraus, S., Breier, M., Dasí-Rodríguez, S. (2020) The art of crafting a systematic literature review in entrepreneurship research, International Entrepreneurship and Management Journal,. 16(3), pp. 1023–1042. [CrossRef] [Google Scholar]
- Massaro, M., Handley, K., Bagnoli, C., Dumay, J. (2016), Knowledge management in small and medium enterprises: a structured literature review, Journal of Knowledge Management, 2(2), pp. 258-291. [CrossRef] [Google Scholar]
- Petticrew, M., Roberts, H. (2006), Systematic Reviews in the Social Sciences: A Practical Guide. Blackwell Pub., Oxford. [Google Scholar]
- Tranfield, D., Denyer, D., Smart, P. (2003), Towards a methodology for developing evidenceinformed management knowledge by means of systematic review, British Journal of Management, 14(3), pp. 207-222. [CrossRef] [Google Scholar]
- Mishra D., Gunasekaran, A., Papadopoulos, T., Hazen, B. (2017), Green supply chain performance measures: a review and bibliometric analysis, Sustainable Production and Consumption, 10, pp. 85-99. [CrossRef] [Google Scholar]
- Thelwall, M. (2018), Dimensions: a competitor to Scopus and the web of science?, Journal of Informetrics, 12(2), pp. 430-435. [CrossRef] [Google Scholar]
- Waltman, L. (2016), A review of the literature on citation impact indicators, Journal of Informetrics, 10(2), pp. 365-391. [CrossRef] [Google Scholar]
- Keupp, M.M., Palmié, M., Gassmann, O. (2012), The strategic management of innovation: a systematic review and paths for future research, International Journal of Management Reviews, 14(4), pp. 367-390. [CrossRef] [Google Scholar]
- Podsakoff, P., MacKenzie, S., Bachrach, D., Podsakoff, N. (2005), The influence of management journals in the 1980s and 1990s, Strategic Management Journal, 26(5), pp. 473-488. [CrossRef] [Google Scholar]
- Vlaanderen, F.P., Tanke, M.A., Bloem, B.R., Faber, M.J., Eijkenaar, F., Schut, F.T., Jeurissen, P.P.T. (2018), Design and effects of outcome-based payment models in healthcare: a systematic review, The European Journal of Health Economics, pp. 1-16. [Google Scholar]
- Dumay, J. (2014), 15 years of the journal of intellectual capital and counting: a manifesto for transformational IC research, Journal of Intellectual Capital, 15(1), pp. 2-37. [CrossRef] [Google Scholar]
- Van Eck, N.J., Waltman, L. (2014), Visualizing bibliometric networks, in Rousseau, R., Ding, Y. and Wolfram, D. (Eds), Measuring Scholarly Impact: Methods and Practice, Springer, Cham, pp. 285-320. [Google Scholar]
- Castillo-Vergara, M., Alvarez-Marin, A., Placencio-Hidalgo, D.RA (2018), A bibliometric analysis of creativity in the field of business economics. J. Bus. Res. 85, pp. 1–9. [Google Scholar]
- Kessler, M.M. (1963), Bibliographic coupling between scientific papers, American Documentation, Vol. 14 No. 1, pp. 10-25. [Google Scholar]
- Li, X., Wu, P., Shen, G.Q., Wang, X., Teng, Y. (2017), Mapping the knowledge domains of Building Information Modeling (BIM): a bibliometric approach, Automation in Construction, 84, pp. 195–206. [CrossRef] [Google Scholar]
- Waltman, L., Van Eck, N.J., Noyons, E.C. (2010), A unified approach to mapping and clustering of bibliometric networks, Journal of Informetrics, 4(4), pp. 629-635. [CrossRef] [Google Scholar]
- Leydesdorff, L., Opthof, T. (2010), Scopus’s source normalised impact per paper (SNIP) versus a journal impact factor based on fractional counting of citations, Journal of the American Society for Information Science and Technology, 61(11), pp. 2365-2369. [CrossRef] [Google Scholar]
- Börner, K., Chen, C., Boyack, K. W. (2005) Visualising knowledge domains, Annual Review of Information Science and Technology. Information Today, 37(1), pp. 179–255. [CrossRef] [Google Scholar]
- Mital, M., Del Giudice, M., Papa, A. (2018), Comparing supply chain risks for multipleproductcategories with cognitive mapping and analytic hierarchy process, Technological Forecastingand Social Change, 131, pp. 159-170. [CrossRef] [Google Scholar]
- Boyack, K.W., Klavans, R. (2010), Co-citation analysis, bibliographic coupling, and direct citation: which citation approach represents the research front most accurately?, Journal of the American Society for Information Science and Technology, 61(12), pp. 2389-2404. [CrossRef] [Google Scholar]
- Albahli, S., Khan, R. U., Qamar, A. M., (2020), A Blockchain-Based Architecture for Smart Healthcare System: A Case Study of Saudi Arabia, Advances in Science, Technology and Engineering Systems Journal, 5(1), pp. 40-47. [CrossRef] [Google Scholar]
- Amit, A., Singh, A. K. (2021), Cloud based secure watermarking using IWT-Schur-RSVD with fuzzy inference system for smart healthcare applications, Sustainable Cities and Society, 75, pp. 103398. [CrossRef] [Google Scholar]
- Ahmadi-Assalemi, G., Al-Khateeb, H., Epiphaniou, G., Maple, C. (2020), Cyber Resilience and Incident Response in Smart Cities: A Systematic Literature Review, Smart Cities, 3, pp. 894–927. [CrossRef] [Google Scholar]
- Hassija, V., Chamola, V., Bajpai, B. C., Zeadally S. N. (2021), Security issues in implantable medical devices: Fact or fiction?, Sustainable Cities and Society, 66, pp. 102552. [CrossRef] [Google Scholar]
- Fawagreh, K., Gaber, M. M. (2020), eGAP: An Evolutionary Game Theoretic Approach to Random Forest Pruning, Big Data Cogn. Comput, 4, pp. 37. [CrossRef] [Google Scholar]
- Qureshi, K. N., Tayyab, M. Q., Rehman, S. U., Jeon, G. (2020), An interference aware energy efficient data transmission approach for smart cities healthcare systems, Sustainable Cities and Society, 62, pp. 102392. [CrossRef] [Google Scholar]
- Ahmed, I., Camacho, D., Jeon, G., Piccialli, F. (2022), Internet of health things driven deep learning-based system for non-invasive patient discomfort detection using time frame rules and pairwise keypoints distance feature, Sustainable Cities and Society, 79, pp. 103672. [CrossRef] [Google Scholar]
- Xu, B., Li, L., Hu, D., Wu, B., Ye, C., Cai, H. (2018), Healthcare data analysis system for regional medical union in smart city, Journal of Management Analytics, 5(4), pp. 334-349. [CrossRef] [Google Scholar]
- Yang, C.-H., Lee, H.-L., Tsai, W.-H., Chuang, S., (2020), Sustainable Smart Healthcare Information Portfolio Strategy Evaluation: An Integrated Activity-Based Costing Decision Model, Sustainability, 12, pp. 10662. [CrossRef] [Google Scholar]
- Stübinger, J., Schneider, L., (2020), Understanding Smart City—A Data-Driven Literature Review, Sustainability, 12, pp. 8460. [CrossRef] [Google Scholar]
- De Nicola, A., Villani, M. L., (2020), Smart City Ontologies and Their Applications: A Systematic Literature Review, Sustainability, 13, 5578. [Google Scholar]
- Jaiswal, R., Agarwal, A., Negi, R., (2020), Smart solution for reducing the COVID-19 riskvusing smart city technology, IET Smart Cities, 2(2), pp. 82-88. [CrossRef] [Google Scholar]
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