DOI

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.
Переведенное названиеКонцептуализация применения интеллектуальных систем в сфере услуг: соответствие целям устойчивого развития для устойчивого будущего: Эдельвейс Прикладная Наука и Технологии
Язык оригиналаанглийский
Страницы (с-по)2811-2827
Число страниц17
ЖурналEdelweiss Applied Science and Technology
Том9
Номер выпуска3
DOI
СостояниеОпубликовано - 29 мар 2025

    Предметные области Scopus

  • Социальные науки (все)
  • Экономика, эконометрия, и финансы (все)
  • Бизнес, управление и бухгалтерский учет (все)

    Области исследований

  • Digital transformation, Barriers to sustainability, Intelligent system adoption, Operational efficiency, SDG alignment, Service economy, Sustainability performance

ID: 134525897