Browsing NTNU Open by Author "Mikalef, Patrick"
Now showing items 1-20 of 91
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A Configurational Approach to Task-Technology Fit in the Healthcare Sector
Mikalef, Patrick; Torvatn, Hans Yngvar (Journal article; Peer reviewed, 2019)In spite of strong investments in digital technologies in the healthcare and medical services domain over the past couple of decades, one of the most pressing issues is that in many cases the technologies that are adopted ... -
A Stage Model for Uncovering Inertia in Big Data Analytics Adoption
Mikalef, Patrick; Krogstie, John; van de wetering, Rogier; Pappas, Ilias (Chapter, 2018)Big data and analytics have been credited with being a revolution that will radically transform the way firms do business. Nevertheless, the process of adopting and diffusing big data analytics, as well as actions taken ... -
A strategic alignment model for IT flexibility and dynamic capabilities: Towards an assessment tool
van de Wetering, Rogier; Mikalef, Patrick; Pateli, Adamantia (Chapter, 2017)The Dynamic Capabilities View (DCV) has emerged as an influential theoretical and management framework in modern IS research. However, despite the view's significant contributions, its strength and core focus are essentially ... -
An Examination of Task-Technology Fit in Public Administration and Management: A Configurational Approach
Mikalef, Patrick; Torvatn, Hans Yngvar (Chapter, 2019)In spite of heavy investments in digital technologies in the public sector over the past couple of decades, one of the most important issues regarding the value realized from them is that in many cases he technologies used ... -
An eye-tracking study of consumer purchase behavior on mobile social commerce
Mesøy, Elisabeth Nygård (Master thesis, 2020)Den raske utviklingen av mobil handel har ført til fremveksten av mobil sosial handel. Dette har gjort det viktig for selskaper å forstå forbrukeratferd og kjøpsintensjoner i mobil sosial handel. Flere studier har undersøkt ... -
Artificial Intelligence and Business Value: a Literature Review
Enholm, Ida Merete; Papagiannidis, Emmanouil; Mikalef, Patrick; Krogstie, John (Peer reviewed; Journal article, 2021)Artificial Intelligence (AI) are a wide-ranging set of technologies that promise several advantages for organizations in terms off added business value. Over the past few years, organizations are increasingly turning to ... -
Artificial intelligence as an enabler of B2B marketing: A dynamic capabilities micro-foundations approach
Mikalef, Patrick; Conboy, Kieran; Krogstie, John (Peer reviewed; Journal article, 2021)Over the past few decades research has predominantly focused on the technical aspects and theoretical challenges of Artificial Intelligence (AI). With the deluge of data and the increase in processing power, businesses are ... -
Artificial intelligence capability: Conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance
Mikalef, Patrick; Gupta, Manjul (Peer reviewed; Journal article, 2021)Artificial intelligence (AI) has been heralded by many as the next source of business value. Grounded on the resource-based theory of the firm and on recent work on AI at the organizational context, this study (1) identifies ... -
Artificial Intelligence for innovating recruitment and selection processes: evidence from Scandinavian companies
Hovland, Ingrid Våge (Master thesis, 2021)Kunstig Intelligens (KI) kan være en drivkraft for innovasjon og endring innen kunnskapsutvikling, koordinering og beslutningstaking for organisasjoner. KI-teknologi kan bli brukt til å automatisere repetitive arbeidsoppgaver ... -
Artificial intelligence in information systems research: A systematic literature review and research agenda
Collins, Christopher; Dennehy, Denis; Conboy, Kieran; Mikalef, Patrick (Journal article; Peer reviewed, 2021)AI has received increased attention from the information systems (IS) research community in recent years. There is, however, a growing concern that research on AI could experience a lack of cumulative building of knowledge, ... -
Artificial Intelligence in Information Systems: State of the Art and Research Roadmap
Ågerfalk, Pär J.; Conboy, Kieran; Crowston, Kevin; Lundström, Jenny S. Z. Eriksson; Jarvenpaa, Sirkka; Mikalef, Patrick; Ram, Sudha (Journal article; Peer reviewed, 2021)Many would argue that artificial intelligence (AI) is not only technology but also a paradigmatic shift in the relationship between humans and machines. Much literature assumes that AI-powered practices substantially differ ... -
Artificial Intelligence in strategic marketing: Value generation and mechanisms of action
Singh, Harkamaljit (Master thesis, 2022)Bruk av kunstig intelligens has økt kraftig i flere industrier i det siste, og en slik industri å ta i bruk kunstig intelligens i er markedsføring siden det er forventet å være til fordel for relasjon mellom en kjøper og ... -
Artificial Intelligence in the Public Sector: A Study of Challenges and Opportunities for Norwegian Municipalities
Mikalef, Patrick; Fjørtoft, Siw Olsen; Torvatn, Hans Yngvar (Journal article; Peer reviewed, 2019)The value of Artificial Intelligence (AI) in augmenting or even replacing human decision-making in the organizational context is gaining momentum in the last few years. A growing number of organizations are now experimenting ... -
Assessing Organizational Users’ Intentions and Behavior to AI Integrated CRM Systems: a Meta-UTAUT Approach
ChatterjeeSheshadri, Sheshadri; Rana, Nripendra P.; Khorana, Sangeeta; Mikalef, Patrick; Sharma, Anuj (Peer reviewed; Journal article, 2021)This paper tests the meta-analysis based unified theory of acceptance and use of technology (meta-UTAUT) model to predict the behavioral intentions of organizational users and their use behavior to artificial intelligence ... -
Augmented Reality and Artificial Intelligence: The Influence on Behavioral Consumer Responses in E-Commerce
Söderström, Charlotte (Master thesis, 2021)I markedsføringssektoren vokser utvidet virkelighet (AR) i popularitet, og markedsstørrels-en til AR er forutsatt til å vokse bemerkelsesverdig i de kommende årene. Teknologien gjør at forbrukere innen elektronisk handel ... -
Big Data Analytics and Decision-making
Hjelle, Sara (Master thesis, 2022)Bruken av stordataanalyse (BDA) øker som et svar på den stadig økende mengden tilgjengelig data, og har vist seg å hjelpe brukerne med å skape en forståelse av forretningsprosesser for å støtte beslutningstaking. ... -
Big data analytics and firm performance: Findings from a mixed-method approach
Mikalef, Patrick; Boura, Maria; Lekakos, George; Krogstie, John (Journal article; Peer reviewed, 2019)Big data analytics has been widely regarded as a breakthrough technological development in academic and business communities. Despite the growing number of firms that are launching big data initiatives, there is still ... -
Big Data Analytics as an Enabler of Process Innovation Capabilities: A Configurational Approach
Mikalef, Patrick; Krogstie, John (Journal article; Peer reviewed, 2018)A central question for information systems (IS) researchers and practitioners is if, and how, big data can help attain a competitive advantage. Anecdotal claims suggest that big data can enhance a firm’s incremental and ... -
Big Data Analytics Capabilities and Innovation: The Mediating Role of Dynamic Capabilities and Moderating Effect of the Environment
Mikalef, Patrick; Boura, Maria; Lekakos, George; Krogstie, John (Journal article; Peer reviewed, 2019)With big data analytics growing rapidly in popularity, academics and practitioners have been considering the means through which they can incorporate the shifts these technologies bring into their competitive strategies. ... -
Big data analytics capabilities: a systematic literature review and research agenda
Mikalef, Patrick; Pappas, Ilias; Krogstie, John; Giannakos, Michail (Journal article; Peer reviewed, 2017)With big data growing rapidly in importance over the past few years, academics and practitioners have been considering the means through which they can incorporate the shifts these technologies bring into their competitive ...