Управленческая аналитика: библиометрический анализ

Автор: Лу Я., Иванов Л.А., Ван Ф., Писаренко Ж.В., Йе Ч.

Журнал: Нанотехнологии в строительстве: научный интернет-журнал @nanobuild

Рубрика: Результаты исследований ученых и специалистов

Статья в выпуске: 3 т.16, 2024 года.

Бесплатный доступ

Введение. По мере дальнейшего развития нанотехнологий и расширения спектра их применений в промышленности потребность в эффективном управлении данными, их анализе и распространении становится все более актуальной. Управленческая аналитика выступает новым развивающимся междисциплинарным направлением, которое позволяет компаниям использовать данные для принятия обоснованных решений и стратегического планирования. Методы и материалы. В данном исследовании проведен обзор и анализ исследований в междисциплинарной области Management Analytics (Аналитика менеджмента) за период с 2021 по 2023 гг. Для проведения библиометрического анализа использовались данные из различных источников, включая научные публикации из периодических изданий, монографии, обзоры, отчеты и пр. Путем систематического обзора соответствующей литературы данное исследование направлено на то, чтобы дать представление о ключевых темах, методологиях и результатах в области управленческой аналитики, а также выявить направления для будущих направлений исследований.

Еще

Управленческая аналитика, междисциплинарная область, библиометрический анализ, нанотехнологии

Короткий адрес: https://sciup.org/142241526

IDR: 142241526   |   DOI: 10.15828/2075-8545-2024-16-3-257-266

Список литературы Управленческая аналитика: библиометрический анализ

  • Ivanov L.A., Xu L.D., Bokova E.S., Ishkov A.D., Muminova S.R. Inventions of scientists, engineers and specialists from different countries in the area of nanotechnologies. Part I. Nanotechnologies in Construction. 2021; 13(1): 23–31. https://doi.org/10.15828/2075-8545-2021-13-1-23-31
  • Ivanov L.A., Xu L.D., Pisarenko Zh.V., Wang Q., Prokopiev P.S. Inventions of scientists, engineers and specialists from different countries in the area of nanotechnologies. Part II. Nanotechnologies in Construction. 2021; 13(2): 79–89. https://doi.org/10.15828/2075-8545-2021-13-2-79-89
  • Ivanov L.A., Xu L.D., Bokova E.S., Ishkov A.D., Borisova O.N. Inventions in the area of nanomaterials and nanotechnologies. Part I. Nanotechnologies in Construction. 2022; 14(1): 18–26. https://doi.org/10.15828/2075-8545-2022-14-1-18-26
  • Ivanov L.A., Xu L.D., Muminova S.R., Ishkov A.D., Demenev A.V. Inventions in the area of nanomaterials and nanotechnologies. Part III. Nanotechnologies in Construction. 2022; 14(6): 466–474. https://doi.org/10.15828/2075-8545-2022-14-6-466-474. – EDN: QGCTUF.
  • Ivanov L.A., Xu L.D., Razumeev K.E., Feoktistova V.M., Prokopiev P.S. Inventions of scientists, engineers and specialists from different countries in the area of nanotechnologies. Part V. Nanotechnologies in Construction. 2021; 13(5): 311–318. https://doi.org/10.15828/2075-8545-2021-13-5-311-318
  • Sigov A., Ratkin L., Ivanov L.A., Zuo M. Quantum computing and industrial information integration: A review. Journal of Industrial Information Integration. 2023; 23:100511. https://doi.org/10.1016/j.jii.2023.100511
  • Sigov A., Ratkin L., Ivanov L.A. Quantum information technology. Journal of Industrial Information Integration. 2022; 1;28:100365. https://doi.org/10.1016/j.jii.2022.100365
  • Ivanov L.A., Xu L.D., Razumeev K.E., Pisarenko Zh.V., Demenev A.V. Inventions of scientists, engineers and specialists from different countries in the area of nanotechnologies. Part VI. Nanotechnologies in Construction. 2021; 13(6): 370–378. https://doi.org/10.15828/2075-8545-2021-13-6-370-378
  • Chawla P., Gao J.Z., Gao T., Luo C., Li H., We Y. An interactive web-based solar energy prediction system using machine learning techniques. Journal of Management Analytics. 2023; (10:2): 308-335.
  • Saragih H.S. Predicting song popularity based on Spotify’s audio features: insights from the Indonesian streaming users. Journal of Management Analytics. 2023; (10:4): 693-709.
  • Gurusinghe R.N., Arachchige B.J.H., Dayarathna D. Predictive HR analytics and talent management: a conceptual framework. Journal of Management Analytics. 2021; (8:2): 195-221.
  • Wang X., Zhi J. A machine learning-based analytical framework for employee turnover prediction. Journal of Management Analytics. 2021; (8:3): 351-370.
  • Hosseini S. A decision support system based on machined learned Bayesian network for predicting successful direct sales marketing. Journal of Management Analytics. 2021; (8:2): 295-315.
  • Liu Q., Yu M., Xiong B., Cai Z., Zhang P., Tan C. Health analytics in business research: a literature review. Journal of Management Analytics. 2023; (10:3): 447-476.
  • Fu L., Li Ling, Li Lusi, Zhang W., Luo Z. Impact of hospital size on healthcare information system effectiveness: evidence from healthcare data analytics. Journal of Management Analytics. 2021; (9:2): 211-231.
  • Wang H., Zhang M., Ying H., Zhao X. The impact of blockchain technology on consumer behavior: a multimethod study.
  • Journal of Management Analytics. 2021; (8:3): 371-390.
  • Ivanov L.A., Xu L.D., Pisarenko Zh.V., Muminova S.R., Miloradova N.G. Inventions in the area of nanotechnologiesand nanomaterials. Part I. Nanotechnologies in Construction. 2023; 15(1): 37–47. https://doi.org/10.15828/2075-8545-2023-15-1-37-47. – EDN: PPOMEI.
  • Zhou S., Zhan Y. A new method for performance evaluation of decision-making units with application to service industry. Journal of Management Analytics. 2021; (8:1): 84-100.
  • Yin S., Zhang N., Xu J. Information fusion for future COVID-19 prevention: continuous mechanism of big data intelligent innovation for the emergency management of a public epidemic outbreak. Journal of Management Analytics. 2021; (8:3): 391-423.
  • Norinder U., Norinder P. Predicting Amazon customer reviews with deep confidence using deep learning and conformal prediction. Journal of Management Analytics. 2022; (9:1): 1-16.
  • Iaksch J., Fernandes E., Borsato M. Digitalization and Big data in smart farming – a review. Journal of Management Analytics. 2021; (8:2): 333-349.
  • Ableeva A., Salimova G., Lubova T., Farrahetdinova A., Siraeva R. Evaluation of the efficiency of fixed assets of economic sectors based on index analysis. Journal of Management Analytics. 2022; (9:3): 369-382.
  • Li X., Sigov A., Ratkin L., Ivanov L.A., Li L. Artificial intelligence applications in finance: a survey. Journal of Management Analytics. 2023; 2;10(4):676-92. https://doi.org/10.1080/23270012.2023.2244503
  • Chen H., Li L., Chen Y. Explore success factors that impact artificial intelligence adoption on telecom industry in China. Journal of Management Analytics. 2021; (8:1): 36-68.
  • Garg D., Alam M. Smart agriculture: a literature review. Journal of Management Analytics. 2023; (10:2): 359-415.
  • Bradbury J.D., Guadagno R.E. Enhanced data narratives. Journal of Management Analytics. 2021; (8:2): 171-194.
  • Mohammadi S.S., Azar A., Ghatari A.R., Alimohammadlou M. A model for selecting green suppliers through intervalvalued intuitionistic fuzzy multi criteria decision making models. Journal of Management Analytics. 2022; (9:1): 60-85.
  • Shitharth S., Meshram P., Kshirsagar P.R., Manoharan H., Tirth V., Sundramurthy V.P. Impact of Big Data Analysis on Nanosensors for Applied Sciences Using Neural Networks. Journal of Nanomaterials. 2021; ID 4927607. https://doi.org/10.1155/2021/4927607
  • Xie S., Gan C. Classification of territory risk by generalized linear and generalized linear mixed models. Journal of Management Analytics. 2023; (10:2): 223-246.
  • Pan S., Ye Q., Shi W. Using a novel ensemble learning framework to detect financial reporting misconduct. Journal of Management Analytics. 2023; (10:4): 607-624.
  • Mahato C., Mahata G.C. Decaying items inventory models with partial linked-to-order upstream trade credit and downstream full trade credit. Journal of Management Analytics. 2021; (9:1): 137-168.
  • Charoontham K., Worakantak J., Kanchanapoom K., Tancho N. A countermeasure designed to restrain self-serving behavior and strategic rating disclosure of credit rating agencies. Journal of Management Analytics. 2023; (10:3): 550-565.
  • Naveen, Donthu, Kumar S., Mukherjee D., Pandey N., Lim W.M. How to conduct a bibliometric analysis: An overview and guidelines. Journal of business research. 2021; (133): 285-296.
  • Magaly, Marin, Merigo J.M., Popa S. Twenty years of the Journal of Knowledge Management: A bibliometric analysis. Journal of Knowledge Management. 2018; (22:8): 1655-1687.
  • Talafidaryani, Mojtaba, Jalali S. M. J., Moro S. Tracing the evolution of digitalisation research in business and management fields: Bibliometric analysis, topic modelling and deep learning trend forecasting. Journal of Information Science. 2023; 01655515221148365.
  • Pournia Y. A Study on the Most Frequent Academic Words in High Impact Factor English Nursing Journals: A Corpus-based Study. Iran J Nurs Midwifery Res. 2019;24(1):11-17. doi: 10.4103/ijnmr.IJNMR_190_17. PMID: 30622572; PMCID: PMC6298166.
  • Rahiminia M., Shahrabifarahani S., Mojaradi Z., Aghsami A., Jolai F. A queueing-inventory model to control the congestion of patients and medical waste in the medical centers, a case study. Journal of Management Analytics. 2023; (10:2): 416-445.
  • Ocampo L.A., Vasnani N.N., Chua F.L.S., Pacio L.B.M., Galli B.J. A bi-level optimization for a make-to-order manufacturing supply chain planning: a case in the steel industry. Journal of Management Analytics. 2021; (8:4): 598-621.
  • Solomon S., Ellegood W. A., Pannirselvam G., Riley J. A decision support model for supplier portfolio selection in the retail industry. Journal of Management Analytics. 2021; (8:3): 486-501.
  • Gopukumar S. T. Nano Informatics: The Bridge between Nanotechnology and Data Science. Nanonamed and Nanotechnol 2024, 9(1): 000281. 10.23880/nnoa-16000281.
  • Gurjar R.S., Kumar S. Innovative Practices in Nanotechnology through Artificial Intelligence. Nanomedicine and Nanotechnology. 2024; 9(2). https://doi.org/10.23880/nnoa-16000310
  • Thomann, Eva, Maggetti M. Designing research with qualitative comparative analysis (QCA): Approaches, challenges, and tools. Sociological Methods & Research. 2020; (49:2): 356-386.
  • Sharbini H, Sallehuddin R., Haron H. Crowd evacuation simulation model with soft computing optimization techniques: a systematic literature review. Journal of Management Analytics. 2023; (8:3): 443-485.
  • Sigov A., Ratkin L., Ivanov L.A. Emerging Enabling Technologies for Industry 4.0 and Beyond. Information Systems Frontiers. 2022. https://doi.org/10.1007/s10796-021-10213-w
  • Kim J. H. 6G and Internet of Things: a survey. Journal of Management Analytics. 2021; (8:2): 316-332.
  • Chen W., He W., Shen J., Tian X., Wang X. Systematic analysis of artificial intelligence in the era of industry 4.0. Journal of Management Analytics. 2023; (10:1): 89-108.
  • Ionescu A.M. Nanotechnology and Global Security. Connections QJ. 2016; 15(2):31-47. https://doi.org/10.11610/Connections.15.2.03
Еще
Статья обзорная