• The Journal of Asian Finance, Economics and Business
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• v.9 no.3
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• pp.257-263
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• 2022

The objective of this study was to see how artificial intelligence applications affected organizational innovation in Jordanian commercial banks. Both independent and dependent variables were measured in three dimensions: expert systems, neural network systems, and fuzzy logic systems for artificial intelligence applications variable. Product innovation, process innovation, and management innovation for the organizational innovation variable. To achieve study objectives, a questionnaire was developed and distributed to a sample of one hundred fifty-three managers in Jordanian commercial banks, who were selected according to the simple random sampling method. Except for the neural network systems dimension, which comes in at an average level, the study indicated that there is a high level of organizational innovation and artificial intelligence applications. Furthermore, the findings revealed that artificial intelligence applications have a significant impact on organizational innovation in Jordanian commercial banks, with the most important artificial intelligence application being a fuzzy logic system. The study suggested keeping track of technological advancements in the field of artificial intelligence applications and incorporating them into banking operations by benchmarking with the best commercial bank practices and allocating a portion of the budget to technological applications and infrastructure development, as well as balancing between technology use and information security risks to ensure client privacy is protected.

• Asia pacific journal of information systems
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• v.32 no.4
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• pp.916-944
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• 2022

Artificial Intelligence has been a conceptual area for several decades. It has been studied extensively through experiments by the Information Systems community. When Information Systems supported with Information Technology became all pervasive in business and other allied areas, gradually the advancements in Artificial Intelligence also emerged as innovations across domains. Artificial Intelligence by definition is expected to substitute Human Intelligence, thereby making a huge space for innovation. In fact, all processes effected by human intelligence are liable to be replaced by AI which in itself is a massive innovation space. This paper will study the publication's repository (Scopus and Google Scholar from 1983 till 2021) in the area of Artificial Intelligence and innovation, then analyze the trend to gain insight into the evolution of AI as a vehicle for innovation.

• World Technopolis Review
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• v.6 no.2
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• pp.113-129
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• 2017

Universities are considered important actors and drivers of socio-economic development in the regional innovation eco-system. This article investigates the role Kenyan universities and research institutes play in the development of regional innovation eco-system in the context of triple and Quadruple helices. A model involving Government, Industry, Universities and Society (Public) linkages in the regional innovation eco-system and with Information and Communication Technology as an enabler is used as a framework for analysing the nature of linkages in Kenya. The article uses literature review and case study methods to examine how universities and research institutes can spur the development of the innovation eco-systems. The research question is: what is the role of Kenyan universities and research institutes in spurring innovation ecosystems? Six cases of Kenyan universities and research institutes are considered in the light of Government Policy on Science, Technology and Innovation (STI) which is underpinned in Kenyan constitution 2010. The study contributes to the understanding of how deep collaboration among universities, government, research institutes, Science Cities, local, regional, national and international players spurs the creation of world-class innovation ecosystems which can contribute to regional development in developing countries like Kenya.

• Journal of Korea Society of Industrial Information Systems
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• v.22 no.4
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• pp.29-43
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• 2017

Innovation Cosystems are Conceptualized as Organizational Networks of Economic Actors, Technologies and Social Contexts that Interact for Knowledge Production, use, and Adaptation. This Paper Proposed a Conceptual Framework to Describe Value Co-creation of Organizational Networks Engaged in Technology Innovation. We Adopted Theory-Based Approach by Integrating the Perspective of Service-Dominant (S-D) Logic Into the Evolutionary Model of the Triple Helix. The Framework Gives a Plausible Explanation on how Actors Collaborate to Create Value in Dynamic Contexts of an Innovation Ecosystem. The Innovation Ecosystem can be Considered as a Composite of Sub-Ecosystems, Including Knowledge, Sectoral, and Business Ecosystems. When these Sub-Ecosystems are Recursively Transformed by Coordination of Functional Mechanisms that Serve Value Co-creation in the Innovation Process, the Innovation Ecosystem will be Re-Organized and Evolve. The case of the Digital Living Network Alliance (DLNA) was Examined to Demonstrate the Fundamental Mechanisms for Value Co-creation that was Described in the Framework. The case Study Indicates Features of Value Co-creation when Implementing Innovation in Organizational Networks.

• Information Systems Review
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• v.1 no.2
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• pp.21-40
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• 1999

• The Journal of Information Systems
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• v.12 no.2
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• pp.165-187
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• 2003

This study examined the factors that make Korean companies adopt supply chain management systems. By adding a group of inter-organizational factors, we extended an innovation-theory-based research model to study the information technology adoption. Sixty three questionnaires from 700 leading companies in Korea were collected and analyzed. Independent variables of the research included environmental, organizational, innovation, and relational characteristics. We found that supply chain management systems in Korean companies are at the initial stage of the adoption, in general. This research also found that company's environmental characteristics have insignificant relationship with the adoption of supply chain management systems. In addition, organizational characteristics (the support of top management, the size of organization, and the information technology infrastructure), innovation characteristics of the supply chain, and the power exercised over the supply chain played important roles in adopting supply chain management systems.

• Journal of Korea Technology Innovation Society
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• v.17 no.1
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• pp.219-241
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• 2014

In general, Innovation Systems consists of actors, institution and network. And mutual learning through the innovation capacity is to be increased, which ultimately evolved through innovation that explains the system itself. In this study, Senior Friendly Industry in Korea for 'Innovation systems formation and evolution of the process' a dynamic perspective. The purpose of this paper is to provide suggestions that innovation policy implications for technological innovation in this sector or similar industry like a health industry, environment industry and etc. Study, a new type of formation and the evolution of the innovative system was confirmed. As the Senior Friendly Industry is a new case for innovation studies, our study may provide new research opportunities to the academia.

• Asia pacific journal of information systems
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• v.30 no.4
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• pp.758-784
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• 2020

In today's dynamic and hypercompetitive business environment, knowledge and innovation have emerged as bases for sustained competitive advantage. This paper addresses two specific research questions. First, we ask, "What is the effect that firm interactivity has on various types of innovation?" As we address this question, we explain that interactivity helps firms create knowledge, which then promotes and enables innovation. Second, we ask, "How do the various types of innovation impact firm performance?" We develop a research model and a set of hypotheses from the basis of organizational knowledge creation theory and the knowledge-based view of the firm. We test this model using survey data, and find that interactivity is positively associated with innovation. We also find that several types of innovation, including service innovation, process innovation, and organizational innovation have a positive impact on firm performance.

• International Journal of Computer Science & Network Security
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• v.22 no.7
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• pp.29-34
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• 2022

The innovative process of digitalization and creation of innovation from an idea to its commercialization requires certain financial costs, labor and mental efforts. The amount of investment (corporate and public) is the most important imperative to enhance innovation and is traditionally considered as the main "input" indicators of the development of innovation infrastructure, in this case, the financial infrastructure of innovation. At the same time, the modern theory of innovation development assumes a systematic approach to the organization of innovation activity, which provides for the close interaction of several subsystems: human (including intellectual) potential, financial and technological capital, as well as relevant institutions and methods of regulation.. Thus, the main task of the study is to analyze the features of investment support for the process of digitalization of socio-economic systems in the context of strengthening international economic relations. As a result of the study, current trends and prerequisites of investment support for the process of digitalization of socio-economic systems in the context of strengthening international economic relations were revealed.

• Research in Community and Public Health Nursing
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• v.28 no.2
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• pp.129-143
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• 2017

Purpose: The purpose of this study is to explore factors which influence adoption, implementation and continued use of tele-healthcare systems. Methods: Qualitative research was conducted by in-depth interviews with 17 professionals from various fields of organizations involved in developing and implementing tele-healthcare systems. Data were analysed thematically, using a conceptual model of diffusion of innovations. Results: The system users were reacted positively to the 3 attributes out of 9 which decided the adoption of innovation. In addition, it is required to redesign the tele-health care system simpler and easier so that the system users can access to the system much more easily regardless of space and time limitations. From the design stage on an individual level, it is necessary to conduct detailed needs analysis and listen to users who are at the center of innovation diffusion. On an organizational level, it is necessary to actively prepare for possible problems during system implementation, educate the users and build communication channels continuously. Conclusion: This study has identified the factors affecting the innovation of tele-health care systems and contributed to the understanding of the operation of tele-health care systems by the diffusion of innovation theory in community health posts.