Adoption of Artificial Intelligence and Cutting-Edge Technologies for Production System Sustainability: A Moderator-Mediation Analysis

2023 | Information Systems Frontiers | Citations: 0

Authors: Chatterjee, Sheshadri; Chaudhuri, Ranjan; Kamble, Sachin; Gupta, Shivam; Sivarajah, Uthayasankar

Abstract: Cutting-edge technologies like big data analytics (BDA), artificial intelligence ... Expand

Abstract: Cutting-edge technologies like big data analytics (BDA), artificial intelligence (AI), quantum computing, blockchain, and digital twins have a profound impact on the sustainability of the production system. In addition, it is argued that turbulence in technology could negatively impact the adoption of these technologies and adversely impact the sustainability of the production system of the firm. The present study has demonstrated that the role of technological turbulence as a moderator could impact the relationships between the sustainability the of production system with its predictors. The study further analyses the mediating role of operational sustainability which could impact the firm performance. A theoretical model has been developed that is underpinned by dynamic capability view (DCV) theory and firm absorptive capacity theory. This model was verified by PLS-SEM with 412 responses from various manufacturing firms in India. There exists a positive and significant influence of AI and other cutting-edge technologies for keeping the production system sustainable. Collapse

Topics: green IS artificial intelligence organizational productivity blockchain quantum computing

Methods: partial least squares path modeling theoretical contribution conceptual modelling theory development partial least squares regression

Theories: dynamic capabilities theory absorptive capacity theory

Quantum Computing and IS - Harnessing the Opportunities of Emerging Technologies

2023 | Communications of the Association for Information Systems | Citations: 0

Authors: Chipidza, Wallace; Li, Yan; Mashatan, Atefeh; Turetken, Ozgur; Olfman, Lorne

Abstract: Emerging technologies have a high potential for impact and are worthy of attent ... Expand

Abstract: Emerging technologies have a high potential for impact and are worthy of attention by the Information Systems (IS) community. To date, the IS discipline has not been able to be a leader in the research and teaching of emerging technologies in their early stages arguably because: (1) IS researchers often lack knowledge of the foundational principles of such emerging technologies, and (2) during the emerging phase, there is insufficient data on the adoption, use, and impact of these technologies. To overcome these challenges, the IS discipline must be willing to break its own disciplinary research boundaries to go beyond software applications and their related management issues and start studying emerging technologies before they are massively adopted by industry. In this paper, we use quantum computing as an exemplar emerging technology and outline a research and education agenda that will help IS harness the opportunities quantum computing offers. We propose that IS researchers rigorously investigate emergent technologies through collaboration with researchers from other disciplines. We also see a role for IS researchers in the scholarship of emerging technologies and in the process of introducing emerging technologies into IS curricula. Arizona. Chipidza mainly researches how and why social networks change over time, the impacts of those changes, and the interventions that moderate those impacts. To answer his research questions, Chipidza uses a variety of advanced techniques including machine and deep learning, network modeling, and simulations. Chipidza's work has been published in multiple prestigious journals including . Driven by her intellectual curiosity for data and emergent information technologies, and her passion for designing and building things, Yan Li has oriented her career in a direction that integrates research, teaching, and practice in the realm of information science. She aspires to conduct impactful scholarship to advance scientific knowledge and make the world a better place. Her research focuses on data and knowledge management areas such as machine learning, artificial intelligence, data warehousing, data integration, natural language processing, and mobile technologies with an emphasis on the synergies between information systems and analytics. Her other research area focuses on developing Information and Communication Technology solutions for underserved populations in low-resource areas and improving social inclusion in health care. Once a data scientist in the industry, she continues her industrial engagement in Academics through sponsored research projects to address real-world problems. Collapse

Topics: quantum computing systems development reference discipline enterprise information system IT skill

Methods: computational algorithm literature sample

Theories: co-evolution theory

Images of Quantum Computing: Taking Stock and Moving Forward

2023 | European Conference On Information Systems | Citations: 0

Authors: Godoy-Descazeaux, Ignacio; Avital, Michel; Gleasure, Rob

Abstract: Quantum computing is attracting increasing attention due to both the threats an ... Expand

Abstract: Quantum computing is attracting increasing attention due to both the threats and the opportunities it may present. Nonetheless, the technology is still nascent and thus far lacks substantive commercial applications that can demonstrate, let alone validate, its potential impact. This uncertainty challenges organizations' ability to make strategic decisions concerning quantum computing. In this study, we explored the practitioners' discourse about quantum computing and the metaphors used to describe the technology and its prospective value. Building on a thematic analysis of 140 video presentations by quantum computing practitioners, we identified ten distinct metaphors of quantum computing. Subsequently, we sorted the metaphors based on the perceived feasibility and strategic potential of the technology to reveal four ways quantum computing may impact the prevailing digital logic. These findings shed light on the alternative development paths of quantum computing business applications and extend the theoretical foundation of this incipient discourse. Collapse

Topics: quantum computing YouTube enterprise information system high-performance computing artificial intelligence

Methods: qualitative content analysis

Quantum Computing

2023 | Business & Information Systems Engineering | Citations: 0

Authors: Nofer, Michael; Bauer, Kevin; Hinz, Oliver; van der Aalst, Wil; Weinhardt, Christof

Abstract: ... Expand

Abstract: Collapse

Topics: quantum computing IS economics

Methods: design science

On the potentials of quantum computing – An interview with Heike Riel from IBM Research

2022 | Electronic Markets | Citations: 0

Authors: Alt, Rainer

Abstract: In this interview, Dr. Heike Riel, a leading scientist and Fellow at IBM Researc ... Expand

Abstract: In this interview, Dr. Heike Riel, a leading scientist and Fellow at IBM Research, reports on the current state of research in the field of quantum computing. Building on the distinction of gateable quantum computers and quantum annealers, the interview sheds light on how research has evolved on gateable quantum computers, which are the path developed by IBM. These gateable quantum computers are described with their current status as well as the improvements and challenges regarding speed, scale, and quality. All three parameters are important for increasing the performance of these universal quantum computers and for leveraging their potentials compared to classical computers. In particular, complex mathematical problems being present in numerous applications in science and business may be solved. Among the examples mentioned are optimization problems that tend to scale exponentially with the number of parameters, for example, in material and natural sciences or simulation problems in the financial industry and in manufacturing. The interview concludes with a critical assessment of possible risks and expectations for the future. Collapse

Topics: quantum computing computer hardware competitive advantage innovation management digital innovation

Methods: computational algorithm machine learning application qualitative interview

The Quantum Computing Business Ecosystem and Firm Strategies

2022 | HICSS | Citations: 1

Authors: Jenkins, Joseph; Berente, Nicholas; Angst, Corey

Abstract: Quantum computing is an emerging technology that promises to revolutionize busin ... Expand

Abstract: Quantum computing is an emerging technology that promises to revolutionize business and society. Although it is still in its early stages, firms have begun to invest heavily in the technology. In this article, we review some key themes of quantum computing from a business-oriented perspective, and construct a framework of the quantum computing business ecosystem. We also conduct an analysis of the contemporary discourse to identify four general strategies that firms are following as they invest in quantum computing. We refer to these as conventional, options, discovery, and adversarial strategies and describe and offer examples of each. Collapse

Topics: quantum computing digital ecosystem enterprise information system computer hardware website

Methods: literature sample literature study

Quantum computing

2022 | Electronic Markets | Citations: 1

Authors: Rietsche, Roman; Dremel, Christian; Bosch, Samuel; Steinacker, Léa; Meckel, Miriam; Leimeister, Jan-Marco

Abstract: Quantum computing promises to be the next disruptive technology, with numerous p ... Expand

Abstract: Quantum computing promises to be the next disruptive technology, with numerous possible applications and implications for organizations and markets. Quantum computers exploit principles of quantum mechanics, such as superposition and entanglement, to represent data and perform operations on them. Both of these principles enable quantum computers to solve very specific, complex problems significantly faster than standard computers. Against this backdrop, this fundamental gives a brief overview of the three layers of a quantum computer: hardware, system software, and application layer. Furthermore, we introduce potential application areas of quantum computing and possible research directions for the field of information systems. Collapse

Topics: quantum computing computer hardware computer system Google+ electronic market

Methods: qualitative interview computational algorithm experiment literature study

Theories: quantum theory

Digital transformation as an interaction-driven perspective between business, society, and technology

2022 | Electronic Markets | Citations: 0

Authors: Van Veldhoven, Ziboud; Vanthienen, Jan

Abstract: Digital transformation, a term introduced to talk about the various changes in b ... Expand

Abstract: Digital transformation, a term introduced to talk about the various changes in business and society due to the increased usage of digital technologies, has recently gained much attention both in research and in practice. However, an analysis of 41 digital transformation frameworks following a developmental literature review shows that several areas can be expanded upon. We propose a novel framework that deals with the underrepresented areas by consolidating the various concepts found in the literature, explicitly including the role of society, highlighting the evolution over time, and including the drivers of digital transformation that we classified into 23 ‘digital transformation interactions’ across six categories. This novel perspective contributes to our macro-understanding of digital transformation and can be used as a lens for further research to generate fresh insights into unanswered research avenues. Ultimately, this paper can be the first step towards a unified understanding of digital transformation. Collapse

Topics: digital transformation artificial intelligence 3D printing production management robotic

Methods: literature study case study survey machine learning literature sample

Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy

2021 | International Journal of Information Management | Citations: 85

Authors: Dwivedi, Yogesh K.; Hughes, Laurie; Ismagilova, Elvira; Aarts, Gert; Coombs, Crispin; Crick, Tom; Duan, Yanqing; Dwivedi, Rohita; Edwards, John; Eirug, Aled; Galanos, Vassilis; Ilavarasan, P. Vigneswara; Janssen, Marijn; Jones, Paul; Kar, Arpan Kumar; Kizgin, Hatice; Kronemann, Bianca; Lal, Banita; Lucini, Biagio; Medaglia, Rony; Le Meunier-FitzHugh, Kenneth; Le Meunier-FitzHugh, Leslie Caroline; Misra, Santosh; Mogaji, Emmanuel; Sharma, Sujeet Kumar; Singh, Jang Bahadur; Raghavan, Vishnupriya; Raman, Ramakrishnan; Rana, Nripendra P.; Samothrakis, Spyridon; Spencer, Jak; Tamilmani, Kuttimani; Tubadji, Annie; Walton, Paul; Williams, Michael D.

Abstract: As far back as the industrial revolution, significant development in technical i ... Expand

Abstract: As far back as the industrial revolution, significant development in technical innovation has succeeded in transforming numerous manual tasks and processes that had been in existence for decades where humans had reached the limits of physical capacity. Artificial Intelligence (AI) offers this same transformative potential for the augmentation and potential replacement of human tasks and activities within a wide range of industrial, intellectual and social applications. The pace of change for this new AI technological age is staggering, with new breakthroughs in algorithmic machine learning and autonomous decision-making, engendering new opportu­ nities for continued innovation. The impact of AI could be significant, with industries ranging from: finance, healthcare, manufacturing, retail, supply chain, logistics and utilities, all potentially disrupted by the onset of AI technologies. The study brings together the collective insight from a number of leading expert contributors to highlight the significant opportunities, realistic assessment of impact, challenges and potential research agenda posed by the rapid emergence of AI within a number of domains: business and management, government, public sector, and science and technology. This research offers significant and timely insight to AI technology and its impact on the future of industry and society in general, whilst recognising the societal and industrial influence on pace and direction of AI development. Collapse

Topics: artificial intelligence privacy innovation management decision making algorithmic bias

Methods: computational algorithm machine learning literature study archival research case study

Theories: technology acceptance model theory of bounded rationality

Permissionless and permissioned blockchain diffusion

2020 | International Journal of Information Management | Citations: 11

Authors: Helliar, Christine V.; Crawford, Louise; Rocca, Laura; Teodori, Claudio; Veneziani, Monica

Abstract: This paper explores the barriers and drivers of diffusion associated with permis ... Expand

Abstract: This paper explores the barriers and drivers of diffusion associated with permissionless and permissioned blockchains, seeking to establish whether they are the same or different and whether barriers and drivers change over time. The study was undertaken in two stages: (i) interviews in 2016 that examine the barriers and drivers of diffusion; followed by (ii) a case study in 2019 of the Italian wine industry’s permissioned blockchain. The results show that diffusion is reaching a final stage for permissionless blockchains but is lagging behind for permissioned blockchains due to the different barriers and drivers of diffusion. Collapse

Topics: blockchain innovation management supply chain management diffusion of innovation internet technology

Methods: qualitative interview case study personal interview qualitative content analysis design artifact

Theories: diffusion of innovations theory