Research output: Contribution to journal › Article › peer-review
Conceptualizing intelligent system applications in the service economy: Aligning with sustainable development goals for a resilient future. / Bozhuk, Svetlana ; Ergashxodjayev, Shaxnoza Djasurovna; Kurolov, Maksud Obitovich ; Ноговицын, Михаил Павлович; Шишкин, Виктор Иванович; Ikramov, Murat Akramovich ; Nabieva, Nilufar Muratovna ; Маленков, Юрий Алексеевич; Шишкин, Виктор Викторович; Bakharev, Vladimir ; Кудрявцева, Галина Васильевна.
In: Edelweiss Applied Science and Technology , Vol. 9, No. 3, 29.03.2025, p. 2811-2827.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Conceptualizing intelligent system applications in the service economy: Aligning with sustainable development goals for a resilient future
AU - Bozhuk, Svetlana
AU - Ergashxodjayev, Shaxnoza Djasurovna
AU - Kurolov, Maksud Obitovich
AU - Ноговицын, Михаил Павлович
AU - Шишкин, Виктор Иванович
AU - Ikramov, Murat Akramovich
AU - Nabieva, Nilufar Muratovna
AU - Маленков, Юрий Алексеевич
AU - Шишкин, Виктор Викторович
AU - Bakharev, Vladimir
AU - Кудрявцева, Галина Васильевна
PY - 2025/3/29
Y1 - 2025/3/29
N2 - Abstract: This study aims to explore the relationship between intelligent system adoption and sustainability performance in the service economy, with a focus on aligning these technologies with the United Nations Sustainable Development Goals (SDGs). A quantitative research design was employed, utilizing survey data from 200 organizations across various service sectors. The data were analyzed using descriptive statistics, correlation analysis, and multiple regression to examine the impact of intelligent system adoption on sustainability outcomes, operational efficiency, and the barriers to SDG alignment. The findings show a significant positive relationship between intelligent system adoption and sustainability performance, indicating that organizations using intelligent systems report improved environmental and operational outcomes. Additionally, intelligent system adoption is positively correlated with SDG awareness and integration, while barriers such as financial constraints and lack of expertise negatively impact sustainability efforts. The study concludes that intelligent systems can play a critical role in driving sustainable business practices and enhancing organizational efficiency. However, overcoming barriers to SDG alignment requires targeted policy interventions and financial support. These findings provide practical insights for organizations seeking to leverage intelligent systems for sustainability and contribute to the broader discourse on the role of digital technologies in achieving global sustainability goals
AB - Abstract: This study aims to explore the relationship between intelligent system adoption and sustainability performance in the service economy, with a focus on aligning these technologies with the United Nations Sustainable Development Goals (SDGs). A quantitative research design was employed, utilizing survey data from 200 organizations across various service sectors. The data were analyzed using descriptive statistics, correlation analysis, and multiple regression to examine the impact of intelligent system adoption on sustainability outcomes, operational efficiency, and the barriers to SDG alignment. The findings show a significant positive relationship between intelligent system adoption and sustainability performance, indicating that organizations using intelligent systems report improved environmental and operational outcomes. Additionally, intelligent system adoption is positively correlated with SDG awareness and integration, while barriers such as financial constraints and lack of expertise negatively impact sustainability efforts. The study concludes that intelligent systems can play a critical role in driving sustainable business practices and enhancing organizational efficiency. However, overcoming barriers to SDG alignment requires targeted policy interventions and financial support. These findings provide practical insights for organizations seeking to leverage intelligent systems for sustainability and contribute to the broader discourse on the role of digital technologies in achieving global sustainability goals
KW - Digital transformation
KW - Barriers to sustainability
KW - Intelligent system adoption
KW - Operational efficiency, SDG alignment
KW - Service economy
KW - Sustainability performance
KW - Barriers to sustainability
KW - Digital transformation
KW - Intelligent system adoption
KW - Operational efficiency
KW - SDG alignment
KW - Service economy
KW - Sustainability performance
UR - https://ideas.repec.org/s/ajp/edwast2.html
UR - https://www.mendeley.com/catalogue/dbe7a200-435e-364c-b9c6-70d20035fa35/
U2 - 10.55214/25768484.v9i3.5878
DO - 10.55214/25768484.v9i3.5878
M3 - Article
VL - 9
SP - 2811
EP - 2827
JO - Edelweiss Applied Science and Technology
JF - Edelweiss Applied Science and Technology
SN - 2576-8484
IS - 3
ER -
ID: 134525897