Article
Automation & Control Systems
Norah S. Farooqi, Mohamed O. Khozium
Summary: Using Business Intelligence (BI) applications is crucial for the success of modern enterprises. However, the lack of dynamic decision making, accuracy, and flexibility in handling operational data poses challenges. This paper proposes an artificial intelligence business framework, incorporating a multi-agent system for business analysis, to address these limitations. The implementation of the proposed model shows promising results, paving the way for further research and implementation of new BI services.
INTELLIGENT AUTOMATION AND SOFT COMPUTING
(2022)
Article
Health Care Sciences & Services
Kathrine Haland Jeppesen, Kirsten Frederiksen, Marianne Johansson Joergensen, Kirsten Beedholm
Summary: The study aimed to explore leaders' assumptions regarding the implementation of patient involvement methods in a hospital setting. The leaders believed that implementing patient involvement required a cultural change among healthcare professionals, and identified the roles of healthcare professionals and leaders in the implementation process.
BMC HEALTH SERVICES RESEARCH
(2021)
Article
Computer Science, Information Systems
Zhi-xiong Huang, K. S. Savita, Jiang Zhong-jie
Summary: The study explores the impact of Business Intelligence on the financial performance of startups, finding that Business Intelligence enhances innovativeness which, in turn, improves financial performance. The mediating role of innovativeness and network learning in startups is crucial for enhancing financial performance.
INFORMATION PROCESSING & MANAGEMENT
(2022)
Article
Economics
Mudashiru Lateef, Pantea Keikhosrokiani
Summary: This study investigates the key success factors for the implementation of business intelligence in SMEs. The findings reveal that factors such as knowledge management, technology orientation, market intelligence, and entrepreneurial orientation have a significant impact on the implementation of business intelligence in SMEs. However, organizational resources, management structure, and organizational culture were found to be insignificant factors for successful implementation.
JOURNAL OF THE KNOWLEDGE ECONOMY
(2022)
Article
Business
Paavo Ritala, Abayomi Baiyere, Mathew Hughes, Sascha Kraus
Summary: This study examines the impact of employees' individual-level entrepreneurial orientation (IEO) and their relational capital within the organization on their performance in achieving organizations' digital strategy goals. Proactiveness, risk-taking, and innovativeness are key factors, with relational capital playing both a positive and negative moderating role.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2021)
Review
Chemistry, Multidisciplinary
Ibrahim Abdusalam Abubaker Alsibhawi, Jamaiah Binti Yahaya, Hazura Binti Mohamed
Summary: This study proposes a conceptual framework to identify the potential factors that influence the adoption of business intelligence systems in the SME industry in Libya. The framework is based on the technology acceptance model (TAM) and the unified theory of adopting and using technology (UTAUT). It recommends considering factors such as change management, knowledge sharing, information quality, IT project management, perceived usefulness, and perceived ease of adoption.
APPLIED SCIENCES-BASEL
(2023)
Article
Business
Sanjeev Kumar, Rahul Raj, Irfaan Salem, Etinder Pal Singh, Kavita Goel, Rishi Bhatia
Summary: Management scholars emphasize that organizational culture and leadership have a significant impact on corporate learning and innovation. However, previous empirical studies on organizational culture and leadership have been limited to partial and simplistic conceptualizations. By drawing from the competing values framework for culture, leader-member exchange, and organizational learning theories, we propose a four-dimensional model of organizational culture for Indian firms. We have tested and found support for the relationship between culture and innovation, which is moderated by transformational leadership. Finally, we discuss the implications, limitations, and future research directions.
ASIAN BUSINESS & MANAGEMENT
(2023)
Article
Engineering, Industrial
Mohammad I. Merhi, Antoine Harfouche
Summary: Artificial intelligence (AI) is seen as a way to enhance supply chain resilience, with organizations investing in AI systems for this purpose. However, there is a lack of understanding about the factors that affect the implementation of these systems. This study fills this gap by identifying and evaluating the critical enablers of AI adoption and implementation in production systems. The findings highlight the importance of technology and project management in this process, and offer propositions for future empirical research.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Business
Abdallah Alsaad, Kareem M. Selem, Md. Moddassir Alam, Loai Kayed B. Melhim
Summary: This research explores the impact mechanism of business intelligence (BI) capabilities on new service product (NSP) performance based on dynamic capability theory. The results indicate that BI capabilities have an indirect impact on NSP performance through the facilitation of proximal conditions, providing theoretical understanding and managerial insight for enhancing NSP performance.
JOURNAL OF INNOVATION & KNOWLEDGE
(2022)
Article
Information Science & Library Science
Victoria Uren, John S. Edwards
Summary: Artificial Intelligence (AI) is considered to have significant potential, but its history of boom and bust cycles can make adopters cautious. A study with AI experts suggests that readiness in people, process, data, and technology is necessary for long-term success. The findings also highlight the importance of bridging technical and business functions in innovative organizations.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT
(2023)
Article
Chemistry, Multidisciplinary
Chia-Chi Sun
Summary: This study investigates the factors affecting customer loyalty towards intelligent personal assistants, finding that perceived value has a positive impact on loyalty, and corporate image moderates the influence of customer innovativeness on perceived value. It provides guidance for companies to implement effective practices and improve customer loyalty.
APPLIED SCIENCES-BASEL
(2021)
Article
Computer Science, Information Systems
Hokey Min, Bih-Ru Lea
Summary: This study aims to identify key influencing factors for business analytics (BA) adoption, such as organizational characteristics, information security/privacy, and information technology maturity. Based on a combined sample of 224 Korean firms and 106 US firms, data mining and data visualization techniques were employed to develop specific patterns of BA adoption practices.
INFORMATION SYSTEMS FRONTIERS
(2023)
Article
Computer Science, Information Systems
Mohammed Amin Almaiah, Raghad Alfaisal, Said A. Salloum, Fahima Hajjej, Rima Shishakly, Abdalwali Lutfi, Mahmaod Alrawad, Ahmed Al Mulhem, Tayseer Alkhdour, Rana Saeed Al-Maroof
Summary: This study investigates users' experiences with artificial intelligence applications (AIA) for governmental purposes in the Gulf area. The results show that factors such as adoption properties, relative advantage, ease of doing business, and technology export have a positive impact on the user experience. The study provides significant practical and managerial implications for governmental institutions, highlighting the importance of considering these factors when implementing AIA to enhance service development and user convenience.
Article
Computer Science, Information Systems
Rohit Nishant, Tuan (Kellan) Nguyen, Thompson S. H. Teo, Pei-Fang Hsu
Summary: How do shareholders respond to evolving technologies, such as artificial intelligence, in the absence of common understanding and in the presence of hype? This study investigates the role of both substantive signals, such as AI capabilities, and rhetorical signals, such as time horizon and risk-reward considerations, in shareholder responses. The findings suggest that shareholder response is influenced by a complex interaction between substantive and rhetorical signals, challenging the common focus on bijective relationships.
EUROPEAN JOURNAL OF INFORMATION SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
N. Nithya, R. Kiruthika
Summary: This study aimed to create a conceptual framework to measure the impact of Business Intelligence Adoption (BIA) on bank performance, including Customer Relationship Management as a moderating variable. Through literature review, the research gap in the area was identified, paving the way for the conceptualization of a model to quantify the impact of BIA on bank performance in the future.
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING
(2021)