Published: Jan. 1, 2024
Language: Английский
Information, Journal Year: 2025, Volume and Issue: 16(1), P. 51 - 51
Published: Jan. 15, 2025
This paper examines the key factors recognized as transformative in field of human resource management (HRM) and explores their influence on global adoption artificial intelligence (AI). While AI holds significant promise for enhancing HRM efficiency, employee engagement, Decision Making, its implementation presents a range organizational, technical, ethical challenges that organizations worldwide must navigate. Change aversion, data security worries, integration expenses are major roadblocks, but strong digital leadership, company culture, advancements NLP machine learning enablers. complex analysis questions common perception only disruptive by delving into relationship between power dynamics, corporate technology infrastructures. In this paper, we bring together research from several fields to help scholars practitioners understand nuances HRM, with an emphasis importance inclusive methods frameworks.
Language: Английский
Citations
3
Journal of risk and financial management, Journal Year: 2025, Volume and Issue: 18(1), P. 41 - 41
Published: Jan. 19, 2025
The region of the Arab Gulf is marching ahead very fast toward digitalization in ways prompted by initiatives, such as Saudi Vision 2030 and UAE’s strategy for Smart Government. Thus, both underscore boundless movement inclusion advanced technologies into accounting practices, Business Intelligence Enterprise Resource Planning systems. While these enhance efficiency facilitate informed decision-making, they also render financial data vulnerable to cybersecurity threats, phishing, ransomware, insider attacks. This paper investigates impact ethical accountability, regulatory frameworks, emerging on adoption trust digital systems GCC region. A quantitative research approach was followed, wherein responses from a randomly selected sample 324 professionals representing nations were collected. empirical analysis completed using Partial Least Squares Structural Equation Modeling. Strong measures, AI-driven threat detection mechanisms, custom-fit employee training programs faith information considerably. Ethical accountability acts partial mediator those effects, supportive frameworks effectiveness. study examines development integrated strategies with respect technology, ethics, regulations. It makes several major recommendations, calling bringing countries’ line international standards; encouraging workforce programs; utilizing AI-powered proactive management. These findings can arm stakeholders holistic pathway developing secure, resilient, future-oriented infrastructures across
Language: Английский
Citations
2
Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: Feb. 13, 2025
This study investigates the impact of Artificial Intelligence (AI) adoption on sustainable performance small and medium-sized enterprises (SMEs). Employing a hybrid quantitative approach, this research combines Partial Least Squares Structural Equation Modeling (PLS-SEM) Neural Networks (ANN) to examine influence various organizational, technological, external factors AI adoption. Key considered include top management support, employee capability, customer pressure, complexity, vendor relative advantage. Data collected from 305 SMEs across multiple sectors were analyzed. The results reveal that all proposed significantly positively affect adoption, with advantage being most influential predictors. Additionally, technologies substantially enhances economic, social, environmental SMEs, reflecting improvements in operational efficiency, cost reduction, social value creation. ANN confirm robustness SEM findings, highlighting critical role driving sustainability outcomes. Furthermore, emphasizes positive mediation effects organizational performance, indicating serves as key enabler achieving both short-term gains long-term objectives. contributes understanding AI's transformative enhancing developing economies, offering strategic insights for policymakers business leaders.
Language: Английский
Citations
2
Systems, Journal Year: 2024, Volume and Issue: 12(10), P. 429 - 429
Published: Oct. 12, 2024
This review explores the influence of AI marketing on e-commerce sales, examining how AI-driven strategies affect key metrics such as customer acquisition and conversion rates. Given growing importance in online retail, this paper employs a critical methodology, analyzing 50 documents from Scopus database. The analysis reveals that tools like chatbots, personalization engines, predictive analytics significantly enhance performance. study provides practical theoretical contributions, offering recommendations for businesses suggesting future research directions.
Language: Английский
Citations
6
Advances in environmental engineering and green technologies book series, Journal Year: 2025, Volume and Issue: unknown, P. 421 - 452
Published: Feb. 21, 2025
By combining various energy grids components to meet sustainability standards and demand, as a service (EaaS) offers significant chance produce market more effectively. Electrical businesses can now send extra back the grid through new business models that EaaS enables. With this concept, companies individuals buy on pay-per-use or subscription basis instead of handling their own infrastructure. The pace extent market's future growth will be determined by interaction several elements, including changes in society consumers, political regulatory reactions, technological, economic, environmental advancements. This paper established order propel Africa's Nigeria digital future, all relevant parties from governments commercial organizations non-governmental must work together promote sustainable, AI-powered solutions for economic sustainability.
Language: Английский
Citations
0
Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 89 - 124
Published: March 7, 2025
This paper explored the crucial areas of cybersecurity in healthcare industry, stressing need to defend infrastructures and private patient information against online attacks. As part their applications electronic (e-healthcare) services for risk management, fraud detection, identity authentication effectively mitigate cyber risks, current proposed bimodal access gateway using artificial neural network (ANN) computer algorithm secure e-healthcare data warehouse infrastructure. In this study, distributed cloud Internet Things (IoT) server systems were created connected through 5G radio frequency enable grid synchronization, resource allocation service-level optimization. approach was adopted strengthen defense keep ahead every evolving threats repositories.
Language: Английский
Citations
0
Media and Communication, Journal Year: 2025, Volume and Issue: 13
Published: April 24, 2025
Current research on AI has extensively examined drivers that predict individuals’ attitudes and behavioral intentions toward use. Despite this, there is limited explores factors influence consumers’ acceptance of integration into businesses. As more businesses have integrated systems different aspects their operations, consumers experienced increasing interactions with adopted by Thus, it critical to understand not only whether individuals trust accept the use in everyday lives, but also they interact with. such, this study tests a theoretical framework developed basis current technology acceptance. This used survey dataset collected from nationally representative sample 420 Australian 2024. The findings revealed interplay between faith general technology, distrust businesses' use, perceived benefits shaped using AI. These dynamics contributed approval businesses’ offer practical insights how manage these foster positive
Language: Английский
Citations
0
Information Systems Journal, Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 6, 2024
Abstract Reliability, which is concerned with whether something performs as it should, well‐accepted an important part of any scientific research, recognised methods for assessing in the natural sciences. Reliability a prerequisite validity, assesses knowledge production. Design science research unique that produces artefact and makes contributions to design base tasked duality science. Therefore, reliability should be reconsidered address assumptions underlying this type information systems research. This paper proposes Science Framework. The framework identifies evaluated (artefact, methods, measures knowledge). It also considers when assessed project progresses by differentiating synchronic versus diachronic evaluation. used derive set techniques establishing can applied during evaluation process both project's production its artefacts. Application assist researchers considering how assess their results.
Language: Английский
Citations
1
Published: Jan. 1, 2024
Language: Английский
Citations
0
Journal of Systems and Information Technology, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 2, 2024
Purpose The emergence of artificial intelligence (AI) which operates through technology and digital workspace has proven to transform organisations in recent times. However, there been key concern over its efficiency among the workforce on how it may replace human contemporary work environment. This study aims investigate drawbacks otherwise known as dark side AI effect employee quality work−life organisational performance lens capacity development reducing shortcomings. Design/methodology/approach used a descriptive research design using cross-sectional survey approach administer instrument 1,847 customer service officers banks, agents telecoms, care retail Nigeria business environment across various units were respondents this study, however, 862 participants finally used. A simple random strategy was participants, existing scales adopted form new instrument. partial least square (PLS) based structural equation model (SEM) adapted analyse collected data from respondents. Findings outcome indicated that lacks creativity negative impact both overall performance. demonstrated sides lack emotional intelligence, in-depth contextual knowledge, over-reliance ethical moral decision analysis are possible adversely affect organisations. concluded is difficult because AI’s side. cannot function effectively beyond what programmed system. Originality/value offered novel trajectory against benefits people familiar with. It changed understanding researchers, policymakers workplace without improvement those established sides.
Language: Английский
Citations
0