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Prof. Ilias Pappas
1. Department of Information Systems, University of Agder, 4604 Kristiansand, Norway

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0 Digital Transformation
0 E-commerce
0 E-services
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Article
Published: 25 June 2021 in Information Systems Frontiers
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The pandemic COVID 19 has altered individuals’ daily lives across the globe. It has led to preventive measures such as physical distancing to be imposed on individuals and led to terms such as ‘lockdown,’ ‘emergency,’ or curfew’ to emerge in various countries. It has affected society, not only physically and financially, but in terms of emotional wellbeing as well. This distress in the human emotional quotient results from multiple factors such as financial implications, family member’s behavior and support, country-specific lockdown protocols, media influence, or fear of the pandemic. For efficient pandemic management, there is a need to understand the emotional variations among individuals, as this will provide insights into public sentiment towards various government pandemic management policies. From our investigations, it was found that individuals have increasingly used different microblogging platforms such as Twitter to remain connected and express their feelings and concerns during the pandemic. However, research in the area of expressed emotional wellbeing during COVID 19 is still growing, which motivated this team to form the aim: To identify, explore and understand globally the emotions expressed during the earlier months of the pandemic COVID 19 by utilizing Deep Learning and Natural language Processing (NLP). For the data collection, over 2 million tweets during February–June 2020 were collected and analyzed using an advanced deep learning technique of Transfer Learning and Robustly Optimized BERT Pretraining Approach (RoBERTa). A Reddit-based standard Emotion Dataset by Crowdflower was utilized for transfer learning. Using RoBERTa and the collated Twitter dataset, a multi-class emotion classifier system was formed. With the implemented methodology, a tweet classification accuracy of 80.33% and an average MCC score of 0.78 was achieved, improving the existing AI-based emotion classification methods. This study explains the novel application of the Roberta model during the pandemic that provided insights into changing emotional wellbeing over time of various citizens worldwide. It also offers novelty for data mining and analytics during this challenging, pandemic era. These insights can be beneficial for formulating effective pandemic management strategies and devising a novel, predictive strategy for the emotional well-being of an entire country’s citizens when facing future unexpected exogenous shocks.

ACS Style

Jyoti Choudrie; Shruti Patil; Ketan Kotecha; Nikhil Matta; Ilias Pappas. Applying and Understanding an Advanced, Novel Deep Learning Approach: A Covid 19, Text Based, Emotions Analysis Study. Information Systems Frontiers 2021, 1 -35.

AMA Style

Jyoti Choudrie, Shruti Patil, Ketan Kotecha, Nikhil Matta, Ilias Pappas. Applying and Understanding an Advanced, Novel Deep Learning Approach: A Covid 19, Text Based, Emotions Analysis Study. Information Systems Frontiers. 2021; ():1-35.

Chicago/Turabian Style

Jyoti Choudrie; Shruti Patil; Ketan Kotecha; Nikhil Matta; Ilias Pappas. 2021. "Applying and Understanding an Advanced, Novel Deep Learning Approach: A Covid 19, Text Based, Emotions Analysis Study." Information Systems Frontiers , no. : 1-35.

Perspective article
Published: 09 April 2021 in Frontiers in Education
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Maintaining high-quality teaching and learning in the times of a pandemic poses a huge challenge to education systems. To scaffold adequate practices in our courses during the pandemic, more advanced, and fine-grained “learning design” is needed than providing the learning objectives and learning materials of the course and defining the deliverables and assignments. In this paper, we leverage on our experience with putting into practice different learning designs and technologies, in various information technology (IT) contexts and discuss how IT educators can further reflect on the learning design of their courses and scaffold fully remote or blended learning approaches to accommodate their courses’ needs during the pandemic. We provide three important objectives and indicative technological solution that can support those objectives, and discuss some lessons learned from our experience.

ACS Style

Ilias O. Pappas; Michail N. Giannakos. Rethinking Learning Design in IT Education During a Pandemic. Frontiers in Education 2021, 6, 1 .

AMA Style

Ilias O. Pappas, Michail N. Giannakos. Rethinking Learning Design in IT Education During a Pandemic. Frontiers in Education. 2021; 6 ():1.

Chicago/Turabian Style

Ilias O. Pappas; Michail N. Giannakos. 2021. "Rethinking Learning Design in IT Education During a Pandemic." Frontiers in Education 6, no. : 1.

Journal article
Published: 05 February 2021 in International Journal of Information Management
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The increasing interest in fuzzy-set Qualitative Comparative Analysis (fsQCA) in Information Systems and marketing raises the need for a tutorial paper that discusses the basic concepts and principles of the method, provide answers to typical questions that editors, reviewers, and authors would have when dealing with a new tool of analysis, and practically guide researchers on how to employ fsQCA. This article helps the reader to gain richer information from their data and understand the importance of avoiding shallow information‐from‐data reporting. To this end, it proposes a different research paradigm that includes asymmetric, configurational‐focused case‐outcome theory construction and somewhat precise outcome testing. This article offers a detailed step-by-step guide on how to employ fsQCA by using as an example an already published study. We analyze the same dataset and present all the details in each step of the analysis to guide the reader onto how to employ fsQCA. The article discusses differences between fsQCA and variance-based approaches and compares fsQCA with those from structured equation modelling. Finally, the article offers a summary of thresholds and guidelines for practice, along with a discussion on how existing papers that employ variance-based methods are extendable and complemented through fsQCA.

ACS Style

Ilias O. Pappas; Arch G. Woodside. Fuzzy-set Qualitative Comparative Analysis (fsQCA): Guidelines for research practice in Information Systems and marketing. International Journal of Information Management 2021, 58, 102310 .

AMA Style

Ilias O. Pappas, Arch G. Woodside. Fuzzy-set Qualitative Comparative Analysis (fsQCA): Guidelines for research practice in Information Systems and marketing. International Journal of Information Management. 2021; 58 ():102310.

Chicago/Turabian Style

Ilias O. Pappas; Arch G. Woodside. 2021. "Fuzzy-set Qualitative Comparative Analysis (fsQCA): Guidelines for research practice in Information Systems and marketing." International Journal of Information Management 58, no. : 102310.

Review
Published: 01 February 2021 in Information Systems Frontiers
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E-learning systems are receiving ever increasing attention in academia, business and public administration. Major crises, like the pandemic, highlight the tremendous importance of the appropriate development of e-learning systems and its adoption and processes in organizations. Managers and employees who need efficient forms of training and learning flow within organizations do not have to gather in one place at the same time or to travel far away to attend courses. Contemporary affordances of e-learning systems allow users to perform different jobs or tasks for training courses according to their own scheduling, as well as to collaborate and share knowledge and experiences that result in rich learning flows within organizations. The purpose of this article is to provide a systematic review of empirical studies at the intersection of e-learning and organizational learning in order to summarize the current findings and guide future research. Forty-seven peer-reviewed articles were collected from a systematic literature search and analyzed based on a categorization of their main elements. This survey identifies five major directions of the research on the confluence of e-learning and organizational learning during the last decade. Future research should leverage big data produced from the platforms and investigate how the incorporation of advanced learning technologies (e.g., learning analytics, personalized learning) can help increase organizational value.

ACS Style

Michail N. Giannakos; Patrick Mikalef; Ilias O. Pappas. Systematic Literature Review of E-Learning Capabilities to Enhance Organizational Learning. Information Systems Frontiers 2021, 1 -17.

AMA Style

Michail N. Giannakos, Patrick Mikalef, Ilias O. Pappas. Systematic Literature Review of E-Learning Capabilities to Enhance Organizational Learning. Information Systems Frontiers. 2021; ():1-17.

Chicago/Turabian Style

Michail N. Giannakos; Patrick Mikalef; Ilias O. Pappas. 2021. "Systematic Literature Review of E-Learning Capabilities to Enhance Organizational Learning." Information Systems Frontiers , no. : 1-17.

Editorial
Published: 26 January 2021 in International Journal of Information Management
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ACS Style

Patrick Mikalef; Ilias O. Pappas; John Krogstie; Letizia Jaccheri; Nripendra Rana. Editors’ reflections and introduction to the special section on ‘Artificial Intelligence and Business Value’. International Journal of Information Management 2021, 57, 102313 .

AMA Style

Patrick Mikalef, Ilias O. Pappas, John Krogstie, Letizia Jaccheri, Nripendra Rana. Editors’ reflections and introduction to the special section on ‘Artificial Intelligence and Business Value’. International Journal of Information Management. 2021; 57 ():102313.

Chicago/Turabian Style

Patrick Mikalef; Ilias O. Pappas; John Krogstie; Letizia Jaccheri; Nripendra Rana. 2021. "Editors’ reflections and introduction to the special section on ‘Artificial Intelligence and Business Value’." International Journal of Information Management 57, no. : 102313.

Journal article
Published: 21 May 2020 in International Journal of Information Management
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Social Networking Sites (SNSs) play an important role in our daily lives and the number of their users increases regularly. To understand how users can be satisfied in the complex digital environment of SNSs, this study examines how motivations and emotions combine with each other to explain high satisfaction. Users’ motivations comprise four attributes, entertainment, information, social-psychological, and convenience. Emotions are divided into their two main categories, that is positive and negative emotions. We draw on complexity and configuration theories, present a conceptual model along with propositions and perform a fuzzy-set qualitative comparative analysis (fsQCA). Through an empirically study with 582 SNSs users, we present eight combinations (configurations) of motivations and emotions that lead to high satisfaction, which highlight the role of high convenience, followed by entertainment and information motivations in being satisfied with SNSs. High satisfaction can be achieved both when positive and negative emotions are high and low, depending on how they combine users’ motivations. None of the factors are indispensable to explain high satisfaction on their own, instead they are insufficient but necessary parts of the causal combinations that explain high satisfaction. This study contributes in SNSs literature by extending current knowledge on how motivations and emotions combine to increase satisfaction, and by identifying specific patterns of users for whom these factors are important and influence greatly their satisfaction.

ACS Style

Ilias O. Pappas; Sofia Papavlasopoulou; Patrick Mikalef; Michail N. Giannakos. Identifying the combinations of motivations and emotions for creating satisfied users in SNSs: An fsQCA approach. International Journal of Information Management 2020, 53, 102128 .

AMA Style

Ilias O. Pappas, Sofia Papavlasopoulou, Patrick Mikalef, Michail N. Giannakos. Identifying the combinations of motivations and emotions for creating satisfied users in SNSs: An fsQCA approach. International Journal of Information Management. 2020; 53 ():102128.

Chicago/Turabian Style

Ilias O. Pappas; Sofia Papavlasopoulou; Patrick Mikalef; Michail N. Giannakos. 2020. "Identifying the combinations of motivations and emotions for creating satisfied users in SNSs: An fsQCA approach." International Journal of Information Management 53, no. : 102128.

Journal article
Published: 22 April 2020 in Journal of Systems and Software
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Context: Startups aim at scaling their business, often by developing innovative products with limited human and financial resources. The development of software products in the startup context is known as opportunistic, agility-driven, and with high tolerance for technical debt. The special context of hardware startups calls for a better understanding of state-of-the-practice of hardware startups’ activities. Objective: This study aimed to identify whether and how startups can achieve product quality while maintaining focus on agility. Method: We conducted an exploratory study with 13 hardware startups, collecting data through semi-structured interviews and analysis of documentation. We proposed an integrative model of agility and quality in hardware startups. Results: Agility in hardware startups is complex and not achieved through adoption of fast-paced development practices alone. Hardware startups follow a quality-driven approach for development of core components, where frequent user testing is a measure for early debt management. Hardware startups often lack mindset and strategies for achieving long-term quality in early stages. Conclusions: Hardware startups need attention to hardware quality to allow for evolutionary prototyping and speed. Future research should focus on defining quality-driven practices that contribute to agility, and strategies and mindsets to support long-term quality in the hardware startup context.

ACS Style

Vebjørn Berg; Jørgen Birkeland; Anh Nguyen-Duc; Ilias O. Pappas; Letizia Jaccheri. Achieving agility and quality in product development - an empirical study of hardware startups. Journal of Systems and Software 2020, 167, 110599 .

AMA Style

Vebjørn Berg, Jørgen Birkeland, Anh Nguyen-Duc, Ilias O. Pappas, Letizia Jaccheri. Achieving agility and quality in product development - an empirical study of hardware startups. Journal of Systems and Software. 2020; 167 ():110599.

Chicago/Turabian Style

Vebjørn Berg; Jørgen Birkeland; Anh Nguyen-Duc; Ilias O. Pappas; Letizia Jaccheri. 2020. "Achieving agility and quality in product development - an empirical study of hardware startups." Journal of Systems and Software 167, no. : 110599.

Conference paper
Published: 01 April 2020 in Computers and Games
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ACS Style

Marié Hattingh; Machdel Matthee; Hanlie Smuts; Ilias Pappas; Yogesh K. Dwivedi; Matti Mäntymäki. Correction to: Responsible Design, Implementation and Use of Information and Communication Technology. Computers and Games 2020, 12067, C1 -C1.

AMA Style

Marié Hattingh, Machdel Matthee, Hanlie Smuts, Ilias Pappas, Yogesh K. Dwivedi, Matti Mäntymäki. Correction to: Responsible Design, Implementation and Use of Information and Communication Technology. Computers and Games. 2020; 12067 ():C1-C1.

Chicago/Turabian Style

Marié Hattingh; Machdel Matthee; Hanlie Smuts; Ilias Pappas; Yogesh K. Dwivedi; Matti Mäntymäki. 2020. "Correction to: Responsible Design, Implementation and Use of Information and Communication Technology." Computers and Games 12067, no. : C1-C1.

Conference paper
Published: 01 April 2020 in Lecture Notes in Computer Science
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Foreign aid serves as an important source of capital for any developing or under-developed country. It is very important to see how the recipient country can utilize this aid in the economic upliftment of the nation. Taking a case of Nepalese economy, this paper investigates the effectiveness of foreign aid in developing countries. The result from Johansen’s cointegration test reveals that foreign aid independently is not adequate for the economic growth. Increased capital and technological infrastructures, improved skills on human capital, on the other hand, significantly changes the result for the positive aid impact on growth in the long run. Therefore, we can conclude that a good policy environment helps increase the aid effectiveness. However, the prevailing trade policy in the country is negatively affecting the aid effectiveness due to the extremely increased trade deficit. In the short-run, there is a negative impact of aid on growth.

ACS Style

Yashoda Karki; Ilias O. Pappas. Investigating Aid Effectiveness in Developing Countries: The Case of Nepal. Lecture Notes in Computer Science 2020, 12067, 338 -344.

AMA Style

Yashoda Karki, Ilias O. Pappas. Investigating Aid Effectiveness in Developing Countries: The Case of Nepal. Lecture Notes in Computer Science. 2020; 12067 ():338-344.

Chicago/Turabian Style

Yashoda Karki; Ilias O. Pappas. 2020. "Investigating Aid Effectiveness in Developing Countries: The Case of Nepal." Lecture Notes in Computer Science 12067, no. : 338-344.

Journal article
Published: 11 December 2019 in International Journal of Human-Computer Studies
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The assessment of learning during class activities mostly relies on standardized questionnaires to evaluate the efficacy of the learning design elements. However, standardized questionnaires pose additional strain on students, do not provide “temporal” information during the learning experience, require considerable effort and language competence, and sometimes are not appropriate. To overcome these challenges, we propose using wearable devices, which allow for continuous and unobtrusive monitoring of physiological parameters during learning. In this paper we set out to quantify how well we can infer students’ learning experience from wrist-worn devices capturing physiological data. We collected data from 31 students in 93 class sessions (3 class sessions per student), and our analysis shows that wrist data can predict the learning experience with 11% error. We also show that 6.25 min (SD = 3.1 min) of data are needed to achieve a reliable estimate (i.e., 13.8% error). Our work highlights the benefits and limitations of utilizing wearable devices to assess learning experiences. Our findings help shape the future of quantified-self technologies in learning by pointing out the substantial benefits of physiological sensing for self-monitoring, evaluation, and metacognitive reflection in learning.

ACS Style

Michail N. Giannakos; Kshitij Sharma; Sofia Papavlasopoulou; Ilias O. Pappas; Vassilis Kostakos. Fitbit for learning: Towards capturing the learning experience using wearable sensing. International Journal of Human-Computer Studies 2019, 136, 102384 .

AMA Style

Michail N. Giannakos, Kshitij Sharma, Sofia Papavlasopoulou, Ilias O. Pappas, Vassilis Kostakos. Fitbit for learning: Towards capturing the learning experience using wearable sensing. International Journal of Human-Computer Studies. 2019; 136 ():102384.

Chicago/Turabian Style

Michail N. Giannakos; Kshitij Sharma; Sofia Papavlasopoulou; Ilias O. Pappas; Vassilis Kostakos. 2019. "Fitbit for learning: Towards capturing the learning experience using wearable sensing." International Journal of Human-Computer Studies 136, no. : 102384.

Editorial
Published: 18 November 2019 in Information & Management
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ACS Style

Patrick Mikalef; Ilias O. Pappas; John Krogstie; Paul A. Pavlou. Big data and business analytics: A research agenda for realizing business value. Information & Management 2019, 57, 103237 .

AMA Style

Patrick Mikalef, Ilias O. Pappas, John Krogstie, Paul A. Pavlou. Big data and business analytics: A research agenda for realizing business value. Information & Management. 2019; 57 (1):103237.

Chicago/Turabian Style

Patrick Mikalef; Ilias O. Pappas; John Krogstie; Paul A. Pavlou. 2019. "Big data and business analytics: A research agenda for realizing business value." Information & Management 57, no. 1: 103237.

Conference paper
Published: 09 September 2019 in Transactions on Petri Nets and Other Models of Concurrency XV
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ACS Style

Ilias O. Pappas; Patrick Mikalef; Yogesh K. Dwivedi; Letizia Jaccheri; John Krogstie; Matti Mäntymäki. Correction to: Digital Transformation for a Sustainable Society in the 21st Century. Transactions on Petri Nets and Other Models of Concurrency XV 2019, C1 -C1.

AMA Style

Ilias O. Pappas, Patrick Mikalef, Yogesh K. Dwivedi, Letizia Jaccheri, John Krogstie, Matti Mäntymäki. Correction to: Digital Transformation for a Sustainable Society in the 21st Century. Transactions on Petri Nets and Other Models of Concurrency XV. 2019; ():C1-C1.

Chicago/Turabian Style

Ilias O. Pappas; Patrick Mikalef; Yogesh K. Dwivedi; Letizia Jaccheri; John Krogstie; Matti Mäntymäki. 2019. "Correction to: Digital Transformation for a Sustainable Society in the 21st Century." Transactions on Petri Nets and Other Models of Concurrency XV , no. : C1-C1.

Conference paper
Published: 14 August 2019 in Transactions on Petri Nets and Other Models of Concurrency XV
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Big data has recently become the focus of academic and corporate investigation due to its high potential in generating business and social value. We have done a systematic mapping of the literature related to big data and its applications leading to social change through the lens of social innovation. The search strategy initially resulted in 593 papers, and after applying inclusion exclusion criteria a total of 156 papers were mapped; 59% of which were identified as empirical studies. This mapping investigated the publication frequency of the studies, research approach and contributions, research areas and article distribution per journal. We also address some challenges found from the mapping associated with the research topic. This mapping study will offer the basis for a reflection process among the researchers in this field and will allow us to develop a research agenda and roadmap of big data and its applications leading to social change.

ACS Style

Farzana Quayyum; Ilias O. Pappas; Letizia Jaccheri. The Role of Big Data in Addressing Societal Challenges: A Systematic Mapping Study. Transactions on Petri Nets and Other Models of Concurrency XV 2019, 151 -163.

AMA Style

Farzana Quayyum, Ilias O. Pappas, Letizia Jaccheri. The Role of Big Data in Addressing Societal Challenges: A Systematic Mapping Study. Transactions on Petri Nets and Other Models of Concurrency XV. 2019; ():151-163.

Chicago/Turabian Style

Farzana Quayyum; Ilias O. Pappas; Letizia Jaccheri. 2019. "The Role of Big Data in Addressing Societal Challenges: A Systematic Mapping Study." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 151-163.

Conference paper
Published: 14 August 2019 in Transactions on Petri Nets and Other Models of Concurrency XV
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E-Learning systems are receiving ever increasing attention in, academia, businesses as well as in public administrations. Managers and employee who need efficient forms of training as well as learning flow within the organization, do not have to gather in a place at the same time, or to travel far away for attending courses. Contemporary affordances of e-learning systems allow them to perform different jobs or tasks for training courses according to their own scheduling, as well as collaborate and share knowledge and experiences that results rich learning flow within the organization. The purpose of this article is to provide a systematic review of empirical studies in the intersection of e-learning and organizational learning in order to summarize the current findings and guide future research. Forty peer-reviewed articles were collected from a systematic literature search and analyzed based on a categorization of their main elements. This survey identifies five major directions Technology-Enhanced Organizational learning has been focused during the last decade. Future research should leverage on big data produced from the platforms and investigate how the incorporation of advanced learning technologies (e.g., learning analytics, personalized learning) can help increasing organizational value.

ACS Style

Michail N. Giannakos; Patrick Mikalef; Ilias O. Pappas. Technology-Enhanced Organizational Learning: A Systematic Literature Review. Transactions on Petri Nets and Other Models of Concurrency XV 2019, 573 -584.

AMA Style

Michail N. Giannakos, Patrick Mikalef, Ilias O. Pappas. Technology-Enhanced Organizational Learning: A Systematic Literature Review. Transactions on Petri Nets and Other Models of Concurrency XV. 2019; ():573-584.

Chicago/Turabian Style

Michail N. Giannakos; Patrick Mikalef; Ilias O. Pappas. 2019. "Technology-Enhanced Organizational Learning: A Systematic Literature Review." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 573-584.

Conference paper
Published: 14 August 2019 in Transactions on Petri Nets and Other Models of Concurrency XV
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The interest of adopting big data (BD) in organizations has emerged in recent years. Even though many organizations have attempted to adopt BD, the benefits gained by this investment has been limited, and organizations struggle to fully utilize the potential of BD. There has been done several studies on the different challenges and benefits that may occur during the process of adopting and using BD. One major factor that has been discussed in the literature to overcome such challenges has been organizational culture. This paper aims to provide a systematic literature review that reports the organizational culture’s impact on BD adoption through the lens of different cultural dimensions. This paper identifies the different dimensions of organizational culture and dives into the specific challenges and potential strategies/techniques to combat these challenges. By reviewing these papers, we ended up with identifying four dimensions of organizational culture in the context of BD. The result of this paper aims to help practitioners and researchers to understand and combat the specific challenges surrounding organizational culture when adopting BD.

ACS Style

Trygve Åse Lunde; Atilla Paul Sjusdal; Ilias O. Pappas. Organizational Culture Challenges of Adopting Big Data: A Systematic Literature Review. Transactions on Petri Nets and Other Models of Concurrency XV 2019, 164 -176.

AMA Style

Trygve Åse Lunde, Atilla Paul Sjusdal, Ilias O. Pappas. Organizational Culture Challenges of Adopting Big Data: A Systematic Literature Review. Transactions on Petri Nets and Other Models of Concurrency XV. 2019; ():164-176.

Chicago/Turabian Style

Trygve Åse Lunde; Atilla Paul Sjusdal; Ilias O. Pappas. 2019. "Organizational Culture Challenges of Adopting Big Data: A Systematic Literature Review." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 164-176.

Journal article
Published: 29 May 2019 in Information & Management
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A central question for information systems (IS) researchers and practitioners is if, and how, big data can help attain a competitive advantage. To address this question, this study draws on the resource-based view, dynamic capabilities view, and on recent literature on big data analytics, and examines the indirect relationship between a firm’s big data analytics capability (BDAC) and competitive performance. The study extends existing research by proposing that BDACs enable firms to generate insight that can help strengthen their dynamic capabilities, which, in turn, positively impact marketing and technological capabilities. To test our proposed research model, we used survey data from 202 chief information officers and IT managers working in Norwegian firms. By means of partial least squares structural equation modeling, results show that a strong BDAC can help firms build a competitive advantage. This effect is not direct but fully mediated by dynamic capabilities, which exerts a positive and significant effect on two types of operational capabilities: marketing and technological capabilities. The findings suggest that IS researchers should look beyond direct effects of big data investments and shift their attention on how a BDAC can be leveraged to enable and support organizational capabilities.

ACS Style

Patrick Mikalef; John Krogstie; Ilias O. Pappas; Paul Pavlou. Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities. Information & Management 2019, 57, 103169 .

AMA Style

Patrick Mikalef, John Krogstie, Ilias O. Pappas, Paul Pavlou. Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities. Information & Management. 2019; 57 (2):103169.

Chicago/Turabian Style

Patrick Mikalef; John Krogstie; Ilias O. Pappas; Paul Pavlou. 2019. "Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities." Information & Management 57, no. 2: 103169.

Journal article
Published: 01 April 2019 in Internet Research
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ACS Style

Ilias O. Pappas; Patrick Mikalef; Michail N. Giannakos; Panos E. Kourouthanassis. Explaining user experience in mobile gaming applications: an fsQCA approach. Internet Research 2019, 29, 293 -314.

AMA Style

Ilias O. Pappas, Patrick Mikalef, Michail N. Giannakos, Panos E. Kourouthanassis. Explaining user experience in mobile gaming applications: an fsQCA approach. Internet Research. 2019; 29 (2):293-314.

Chicago/Turabian Style

Ilias O. Pappas; Patrick Mikalef; Michail N. Giannakos; Panos E. Kourouthanassis. 2019. "Explaining user experience in mobile gaming applications: an fsQCA approach." Internet Research 29, no. 2: 293-314.

Journal article
Published: 01 March 2019 in Computers in Human Behavior
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ACS Style

Ilias Pappas; Michail N. Giannakos; Demetrios G. Sampson. Fuzzy set analysis as a means to understand users of 21st-century learning systems: The case of mobile learning and reflections on learning analytics research. Computers in Human Behavior 2019, 92, 646 -659.

AMA Style

Ilias Pappas, Michail N. Giannakos, Demetrios G. Sampson. Fuzzy set analysis as a means to understand users of 21st-century learning systems: The case of mobile learning and reflections on learning analytics research. Computers in Human Behavior. 2019; 92 ():646-659.

Chicago/Turabian Style

Ilias Pappas; Michail N. Giannakos; Demetrios G. Sampson. 2019. "Fuzzy set analysis as a means to understand users of 21st-century learning systems: The case of mobile learning and reflections on learning analytics research." Computers in Human Behavior 92, no. : 646-659.

Journal article
Published: 01 March 2019 in International Journal of Information Management
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Most work in the design of learning technology uses click-streams as their primary data source for modelling & predicting learning behaviour. In this paper we set out to quantify what, if any, advantages do physiological sensing techniques provide for the design of learning technologies. We conducted a lab study with 251 game sessions and 17 users focusing on skill development (i.e., user's ability to master complex tasks). We collected click-stream data, as well as eye-tracking, electroencephalography (EEG), video, and wristband data during the experiment. Our analysis shows that traditional click-stream models achieve 39% error rate in predicting learning performance (and 18% when we perform feature selection), while for fused multimodal the error drops up to 6%. Our work highlights the limitations of standalone click-stream models, and quantifies the expected benefits of using a variety of multimodal data coming from physiological sensing. Our findings help shape the future of learning technology research by pointing out the substantial benefits of physiological sensing.

ACS Style

Michail N. Giannakos; Kshitij Sharma; Ilias O. Pappas; Vassilis Kostakos; Eduardo Velloso. Multimodal data as a means to understand the learning experience. International Journal of Information Management 2019, 48, 108 -119.

AMA Style

Michail N. Giannakos, Kshitij Sharma, Ilias O. Pappas, Vassilis Kostakos, Eduardo Velloso. Multimodal data as a means to understand the learning experience. International Journal of Information Management. 2019; 48 ():108-119.

Chicago/Turabian Style

Michail N. Giannakos; Kshitij Sharma; Ilias O. Pappas; Vassilis Kostakos; Eduardo Velloso. 2019. "Multimodal data as a means to understand the learning experience." International Journal of Information Management 48, no. : 108-119.

Conference paper
Published: 12 October 2018 in Transactions on Petri Nets and Other Models of Concurrency XV
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The advancement in technology is transforming societies into digital arenas and paves the way towards the achievement of digital transformation. With every transaction in the digital world leading to the generation of data, big data and their analytics have received major attention in various fields and different contexts, examining how they may benefit the different actors in the society. The present study aims to identify how startups that develop products with both software and hardware parts can generate value from data analytics and what challenges they face towards this direction. To this end, we performed a multiple-case study with early-stage startups and employed qualitative analysis on a dataset from 13 startups. Through semi-structured interviews, we examine how these companies use data analytics. The findings show that although the benefits from data analytics are clear, multiple barriers and challenges exist for the startups to be able to create value from them. The major ones are about their resources, including human skills, economical resources, as well as time management and privacy issues.

ACS Style

Vebjørn Berg; Jørgen Birkeland; Ilias O. Pappas; Letizia Jaccheri. The Role of Data Analytics in Startup Companies: Exploring Challenges and Barriers. Transactions on Petri Nets and Other Models of Concurrency XV 2018, 205 -216.

AMA Style

Vebjørn Berg, Jørgen Birkeland, Ilias O. Pappas, Letizia Jaccheri. The Role of Data Analytics in Startup Companies: Exploring Challenges and Barriers. Transactions on Petri Nets and Other Models of Concurrency XV. 2018; ():205-216.

Chicago/Turabian Style

Vebjørn Berg; Jørgen Birkeland; Ilias O. Pappas; Letizia Jaccheri. 2018. "The Role of Data Analytics in Startup Companies: Exploring Challenges and Barriers." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 205-216.