Blar i NTNU Open på forfatter "Mikalef, Patrik"
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All eyes on me: Predicting consumer intentions on social commerce platforms using eye-tracking data and ensemble learning
Mikalef, Patrik; Sharma, Kshitij; Chatterjee, Sheshadri; Chaudhuri, Ranjan; Parida, Vinit; Gupta, Shivam (Journal article; Peer reviewed, 2023)Understanding what information is important for consumers when making a purchase-related decision has been a key question for researchers and practitioners ever since the advent of empirical research in commerce. Nevertheless, ... -
Artificial intelligence (AI) competencies for organizational performance: A B2B marketing capabilities perspective
Mikalef, Patrik; Islam, Najmul; Parida, Vinit; Singh, Harkamaljit; Altwaijry, Najwa (Peer reviewed; Journal article, 2023) -
Artificial intelligence (AI) for user experience (UX) design: a systematic literature review and future research agenda
Stige, Åsne; Zamani, Efpraxia D.; Mikalef, Patrik; Zhu, Yuzhen (Peer reviewed; Journal article, 2023) -
Artificial Intelligence Ambidexterity, Adaptive Transformation Capability, and Their Impact on Performance Under Tumultuous Times
van de Wetering, Rogier; Mikalef, Patrik; Dennehy, Denis (Peer reviewed; Journal article, 2022) -
Coopetition in the platform economy from ethical and firm performance perspectives
Chatterjee, Sheshadri; Chaudhuri, RR; Mikalef, Patrik; Saprong, David (Peer reviewed; Journal article, 2023)The platform economy facilitates a model of sharing economy, where competition and cooperation among the competitive firms are very common. Nevertheless, there are very few studies to date which investigate how competition ... -
Developing IT-enabled Innovation Capabilities: A Dynamic Capabilities Approach
Mikalef, Patrik (Chapter, 2016)With innovation-based competition gaining increased significance over the past few years, a central question for researchers is how Information Technology (IT) can help firms strengthen their innovative capability. To ... -
Examining Heterogeneous Patterns of AI Capabilities
Horvat, Djerdj; Baumgartner, Marco; Kinkel, Steffen; Mikalef, Patrik (Peer reviewed; Journal article, 2023) -
Examining how AI capabilities can foster organizational performance in public organizations
Mikalef, Patrik; Lemmer, Kristina; Schaefer, Cindy; Ylinen, Maija; Fjørtoft, Siw Olsen; Torvatn, Hans Yngvar; Gupta, Manjul; Niehaves, Bjoern (Peer reviewed; Journal article, 2023)Developing the capacity to digitally transform through AI is becoming increasingly important for public organizations, as a constantly growing number of their activities is now becoming AI-driven. This prompts an understanding ... -
Examining the Dimensions of Adopting Natural Language Processing and Big Data Analytics Applications in Firms
Chatterjee, Sheshadri; Chaudhuri, RR; Mikalef, Patrik (Journal article; Peer reviewed, 2022) -
Explainable Artificial Intelligence (XAI) from a user perspective: A synthesis of prior literature and problematizing avenues for future research
Haque, Bahalul; Islam, Najmul; Mikalef, Patrik (Peer reviewed; Journal article, 2023)The rapid growth and use of artificial intelligence (AI)-based systems have raised concerns regarding explainability. Recent studies have discussed the emerging demand for explainable AI (XAI); however, a systematic review ... -
Exploring the effect of digital CSR communication on firm performance: A deep learning approach
Han, Shuihua; Liu, Zhenyuan; Deng, Ziyue; Gupta, Shivam; Mikalef, Patrik (Peer reviewed; Journal article, 2023)This study proposes a novel research framework to examine the effect of digital CSR communications on financial performance while incorporating deep learning techniques to identify firms' CSR communications on social media. ... -
From intuitive to data-driven decision-making in digital transformation: A framework of prevalent managerial archetypes
Korherr, Philipp; Kanbach, Dominik; Kraus, Sascha; Mikalef, Patrik (Peer reviewed; Journal article, 2022)The use of analytics in corporate decision-making processes demands a paradigm shift within companies, and particularly among their top executives. Corporate leaders represent a major lever for this change. Therefore, a ... -
Investigating students’ use and adoption of with-video assignments: lessons learnt for video-based open educational resources
Pappas, Ilias; Giannakos, Michail; Mikalef, Patrik (Journal article; Peer reviewed, 2017)The use of video-based open educational resources is widespread, and includes multiple approaches to implementation. In this paper, the term “with-video assignments” is introduced to portray video learning resources enhanced ... -
IoT Capabilities in Regaining Travelers’ Confidence Through Touchless Travel: An Empirical Study for the Revival of the Airline Sector
Chand, Pushpendu; Kumar Tarei, Pradeep; Kumar Gangadhari, Rajan; Mikalef, Patrik (Peer reviewed; Journal article, 2023) -
Machine Learning (ML) diffusion in the design process: A study of Norwegian design consultancies
Trocin, Cristina; Stige, Åsne; Mikalef, Patrik (Peer reviewed; Journal article, 2023) -
Maneuvering between skepticism and optimism about hyped technologies: Building trust in digital twins
Korotkova, Nataliia; Benders, Josephus Gerardus; Mikalef, Patrik; Cameron, David (Peer reviewed; Journal article, 2023)IT vendors’ promises are likely to meet sound skepticism from prospective clients. If a particular technology is in vogue and seen as a “hype,” clients are under pressure to buy the technology while, at the same time, ... -
Online information search behaviour of physicians
Mikalef, Patrik; Kourouthanassis, Panos; Pateli, Adamantia (Journal article; Peer reviewed, 2017)Background Although doctors increasingly engage in online information seeking to complement their medical practice, little is known regarding what online information sources are used and how effective they are. Objective ... -
The Potential of Generative Artificial Intelligence Across Disciplines: Perspectives and Future Directions
Ooi, Keng-Boon; Wei-Han Tan, Garry; Mostafa, Al‑Emran; Al‑Sharafi, Mohammed A.; Capatina, Alexandru; Chakraborty, Amrita; Dwivedi, Yogesh K; Huang, Tzu-Ling; Kar, Arpan Kumar; Lee, Voon-Hsien; Loh, Xiu-Ming; Micu, Adrian; Mikalef, Patrik; Mogaji, Emmanuel; Pandey, Neeraj; Raman, Ramakrishnan; Rana, Nripendra P.; Sarker, Prianka; Sharma, Anshuman; Teng, Ching-I; Wamba, Samuel Fosso; Wong, Lai-Wan (Peer reviewed; Journal article, 2023)In a short span of time since its introduction, generative artificial intelligence (AI) has garnered much interest at both personal and organizational levels. This is because of its potential to cause drastic and widespread ... -
Social Media and Analytics for Competitive Performance: A Conceptual Research Framework
Pappas, Ilias; Mikalef, Patrik; Giannakos, Michail; Krogstie, John; Lekakos, George (Journal article; Peer reviewed, 2017)Social media websites have managed in a very short period of time to attract and maintain a massive user. Recognizing their potential, the vast majority of companies are deploying strategies in order to harness their ... -
Uncovering the dark side of AI-based decision-making: A case study in a B2B context
Papagiannidis, Emmanouil; Mikalef, Patrik; Conboy, Kieran; van de wetering, Rogier (Peer reviewed; Journal article, 2023)Over the last decade, many organizations worldwide have been assimilating Artificial Intelligence (AI) technologies to increase their productivity and attain a competitive advantage. As with any technology, intelligence ...