Maximizing CSR impact: Leveraging artificial intelligence and process optimization for sustainability performance management

Corporate Social Responsibility and Environmental Management, Journal Year: 2024, Volume and Issue: 31(5), P. 4849 - 4861

Published: May 6, 2024

Abstract This study, which is anchored to Resource‐Based View (RBV) theory, explores the relationship between artificial intelligence (AI), process optimization, organizational flexibility, and sustainability performance in settings. Leveraging RBV framework's focus on internal resources as sources of competitive advantage, this research seeks clarify how AI adoption, flexibility foster sustainable growth. SPSS PROCESS Macro was used analyze data from 288 organizations. The findings derived empirical data, study verify positive relationships optimization well performance, revealing strategic nature a resource improve operational effectiveness environmental responsibility. Further, our results indicate mediating role moderating effect determining link outcomes. Moreover, confirmed indirect effects via under boundary conditions flexibility. These add developing literature practices provide practical suggestions that might be useful for practitioners aiming at using driven by capabilities deliver performance.

Language: Английский

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A comprehensive review of strategic management practices in satellite telecommunications, highlighting the role of data analytics in driving operational efficiency and competitive advantage

World Journal of Advanced Engineering Technology and Sciences, Journal Year: 2024, Volume and Issue: 11(2), P. 201 - 211

Published: March 20, 2024

Satellite telecommunications play a crucial role in modern connectivity, enabling global communication, broadcasting, and internet access. This paper presents comprehensive review of strategic management practices the satellite industry, with particular focus on data analytics enhancing operational efficiency achieving competitive advantage. The sector is characterized by rapid technological advancements, evolving market dynamics, increasing demand for bandwidth-intensive services. To thrive this landscape, companies industry must adopt that enable them to effectively leverage their resources, capabilities, opportunities. One key integration into business operations. Data encompasses collection, analysis, interpretation large volumes extract valuable insights inform decision-making. By harnessing power analytics, can optimize network performance, enhance customer experience, drive innovation. also help identify new trends, preferences, threats. analyzing from various sources, including sensors, feedback, research, gain deeper understanding operating environment make informed decisions. Furthermore, optimizing resource allocation, minimizing downtime, improving reliability. using predictive anticipate equipment failures proactively address potential issues, thereby reducing maintenance costs service quality. In conclusion, highlights importance driving adopting data-driven decision-making processes, position themselves long-term success rapidly landscape.

Language: Английский

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Linking business analytics capability and sustainability performance: the mediating role of circular economy implementation

Modern Supply Chain Research and Applications, Journal Year: 2024, Volume and Issue: 6(3), P. 226 - 246

Published: July 10, 2024

Purpose Though business analytics capability continues to attract considerable industrial and scholarly attention, its holistic performance implications, especially in the post-COVID-19 period, have not been fully understood. Thus, there calls for a full understanding of implications BAC achieving holistic, sustainable outcomes among firms. This study therefore examines influence on three dimensions performance. We also proposed mediating role circular economy implementation. Design/methodology/approach tested model using survey data from 246 managers manufacturing firms Ghana. Partial least squares structural equation modelling was employed validate model. Findings Our findings showed that significantly enhances both found significant association between CEI further partial mediation nexus. Practical offers thoughtful insights managers, policymakers academic community should simultaneously implement models alongside building competencies quest achieve balanced outcomes. Originality/value To best our knowledge, is very few attempts understand mechanism channels benefits outcome.

Language: Английский

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Evidence-based knowledge management: a topic modeling analysis of research on knowledge management and analytics

VINE Journal of Information and Knowledge Management Systems, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 12, 2024

Purpose Organizations widely adopt knowledge management (KM) to develop and promote technologies improve business effectiveness. Analytics can aid in KM, further augmenting company performance decision-making. There has been significant research the domain of analytics KM past decade. Therefore, this paper aims examine current body literature on adoption by offering prominent themes laying out a path for future endeavors field analytics. Design/methodology/approach A comprehensive analysis was conducted collection 123 articles sourced from Scopus database. The used Latent Dirichlet Allocation methodology topic modeling content discover literature. Findings is categorized into three clusters – optimizing processes, industrial context social media. Originality/value Systematizing received very minimal attention. view examined using complementary techniques, including machine-based algorithms, enable more reliable, systematic, thorough objective mapping developing research.

Language: Английский

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Rural Multidimensional Poverty and Livelihood Mix: A Micro Level Study in Bihar, India.

Heliyon, Journal Year: 2025, Volume and Issue: 11(4), P. e42772 - e42772

Published: Feb. 1, 2025

Language: Английский

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Environmental Sustainability Practices in SMEs: Insights from Integrated PLS-SEM and fsQCA approaches

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 145185 - 145185

Published: March 1, 2025

Language: Английский

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Green creativity and business sustainability: the influence of dynamic capabilities, technology adoption, business strategies and knowledge management

Business Process Management Journal, Journal Year: 2025, Volume and Issue: unknown

Published: March 14, 2025

Purpose The increasing global emphasis on environmental sustainability necessitates a better understanding of the antecedents green creativity (GC) and business (BSE). However, research this topic is limited, these have not been examined holistically. Considering gap, in study, we interconnected roles dynamic capabilities (GDC), technology adoption (GTA), strategies (GBS) knowledge management (GKM) influencing GC BSE. Design/methodology/approach We collected data through surveys applied to 874 companies operating manufacturing service sectors Turkey analyzed using partial least squares structural equation modeling (PLS-SEM) method. Findings study shows that GDC positively influence GBS, GKM. Additionally, GTA affects BSE GBS only impacts GC, while GKM influences Our mediation analysis results indicate mediates relationships between GDC–GTA GC. Furthermore, relationship Similarly, GC–BSE. Finally, it was determined Research limitations/implications focus Türkiye limits generalizability findings. Future can examine variables different geographical industrial settings provide deeper insights into causal mechanisms underlying relationships. Practical implications actionable for aiming improve their practices. In addition, managers use strengthen GKM, thus realizing positive importance integrating take challenges account emphasized. Originality/value one important studies comprehensively interaction GDC, GTA, provides transformation efforts emerging economies, expanding literature beyond sector include sector.

Language: Английский

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Exploring the impact of big data analytics and risk management convergence on sustainability performance development: an accounting perspective

Discover Sustainability, Journal Year: 2025, Volume and Issue: 6(1)

Published: March 17, 2025

Language: Английский

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Digital technologies for the Sustainable Development Goals

Green Technologies and Sustainability, Journal Year: 2025, Volume and Issue: unknown, P. 100202 - 100202

Published: March 1, 2025

Language: Английский

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Predictive Analytics in the Cloud: Making Decisions Before They Happen

International Journal of Advanced Research in Science Communication and Technology, Journal Year: 2025, Volume and Issue: unknown, P. 69 - 86

Published: March 24, 2025

This article examines the transformative impact of cloud computing on predictive analytics implementations across various industries. As organizations increasingly leverage artificial intelligence and machine learning to forecast trends identify opportunities, environments have emerged as optimal platform for deploying these sophisticated capabilities. The paper explores how cloud-based delivers unprecedented advantages in scalability, cost efficiency, real-time processing, democratized access, enabling all sizes implement enterprise-grade analytical Through detailed examination real-world applications inventory optimization, customer churn prediction, maintenance, financial risk assessment, demonstrates cloud-native architectures fundamentally changed technical economic dynamics analytics. discussion extends implementation considerations including selection, data integration strategies, development methodologies, deployment approaches, while addressing common challenges related privacy, model interpretability, skills requirements. Looking forward, identifies emerging shaping evolution analytics, automated learning, edge embedded intelligence, providing a comprehensive framework understanding this rapidly evolving technological landscape

Language: Английский

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