Technology Innovations

Technological innovation research in the last six decades a bibliometric analysis Technological innovation research in the last six decades a bibliometric analysis This study aims to explore the evolutionary trajectories of technological innovation using 1,361 documents to determine the most cited documents, influential authors, prominent journals and leading countries in the field of technological innovation research. Design/methodology/approach In this paper, the intellectual structure of technological innovation literature was studied using bibliometric co-occurrence and co-citation analyses. The authors focused on the 1,361 documents in this research stream published between 1961 and 2019. Findings The findings show that researchers do not appropriately draw on theoretical perspectives external to the field to study different dimensions of technological innovation. This study reveals six distinct areas within the literature: sources of innovation, environmental innovation and technological innovation, investment, economic growth of countries, technological innovation systems for sustainable development, innovation system, research and development and competitiveness. Originality/value This study investigates the foundations of the conception, themes and research communities within the technological innovation domain. This paper found strong evidence that technological innovation is one of the keys to the research area in innovation studies. Download/view

Managing Artificial Intelligence Managing Artificial Intelligence Managing artificial intelligence (AI) marks the dawn of a new age of information technology management. Managing AI involves communicating, leading, coordinating, and controlling an ever-evolving frontier of computational advancements that references human intelligence in addressing ever more complex decision-making problems. It means making decisions about three related interdependent facets of AI – autonomy, learning, and inscrutability – in the ongoing quest to push the frontiers of performance and scope of AI. We demonstrate how the frontiers of AI have shifted with time, and explain how the seven exemplar studies included in the special issue are helping us learn about management at the frontiers of AI. We close by speculating about future frontiers in managing AI and what role information systems scholarship has in exploring and shaping this future Download/view

Big Data Decision Making Is There Room for Intuition in the Era of Big Data Big Data Decision Making Is There Room for Intuition in the Era of Big Data The process we use to gather information in making decisions can be as important as the decisions themselves. Do you rely more on sophisticated analytics or intuition? Using a self-report exercise, this article assists the reader in recognizing their decision-making style and offers a framework to enhance the process. The purpose of this article is to assist readers in recognizing their decision framework: how they gather information during the decision process and ways in which they can enhance quality decisions. In other words, they will consider which data sources they are likely to rely on—facts, intuition, statistics, or a combination of these three factors as well as others in finding solutions Download/view

Towards a Democratization of Data in the Context of Industry 4.0 Towards a Democratization of Data in the Context of Industry 4.0 Data-driven transparency in end-to-end operations in real-time is seen as a key benefit of the fourth industrial revolution. In the context of a factory, it enables fast and precise diagnoses and corrections of deviations and, thus, contributes to the idea of an agile enterprise. Since a factory is a complex socio-technical system, multiple technical, organizational and cultural capabilities need to be established and aligned. In recent studies, the underlying broad accessibility of data and corresponding analytics tools are called “data democratization”. In this study, we examine the status quo of the relevant capabilities for data democratization in the manufacturing industry and outline the way forward. The insights are based on 259 studies on the digital maturity of factories from multiple industries and regions of the world using the acatech Industrie 4.0 Maturity Index as a framework. For this work, a subset of the data was selected. As a result, the examined factories show a lack of capabilities across all dimensions of the framework (IT systems, resources, organizational structure, culture). Thus, we conclude that the outlined implementation approach needs to comprise the technical backbone for a data pipeline as well as capability building and an organizational transformation Download/view

COVID-Bot: An Intelligent System for COVID-19 Vaccination Screening COVID-Bot: An Intelligent System for COVID-19 Vaccination Screening Coronavirus continues to spread worldwide, causing various health and economic disruptions. One of the most important approaches to controlling the spread of this disease is to use artificial intelligence (AI)–based technological intervention, such as a chatbot system. Chatbots can aid in the fight against the spread of COVID-19. This paper introduces COVID-Bot, an intelligent interactive system that can help screen students and confirm their COVID-19 vaccination status. An evaluation was carried out through a survey that involved 106 university students in determining the functionality, compatibility, reliability, and usability of COVID-Bot. The findings indicated that 92 (86.8%) of the participants agreed that the chatbot functions well, 85 (80.2%) agreed that it fits well with their mobile devices and their lifestyle, 86 (81.1%) agreed that it has the potential to produce accurate and consistent responses, and 85 (80.2%) agreed that it is easy to use. The average obtained α was .87, indicating satisfactory reliability Download/view