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  • 1.
    Padyab, Ali Mohammad
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Digital Services and Systems. School of Informatics, University of Skövde, Skövde.
    Habibipour, Abdolrasoul
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Digital Services and Systems.
    Rizk, Aya
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Digital Services and Systems.
    Ståhlbröst, Anna
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Digital Services and Systems.
    Adoption Barriers of IoT in Large Scale Pilots2020In: Information, E-ISSN 2078-2489, Vol. 11, no 23, p. 1-23Article in journal (Refereed)
    Abstract [en]

    The pervasive connectivity of devices enabled by Internet of Things (IoT) technologies is leading the way in various innovative services and applications. This increasing connectivity comes with its own complexity. Thus, large scale pilots (LSPs) are designed to develop, test and use IoT innovations in various domains in conditions very similar to their operational scalable setting. One of the key challenges facing the diffusion of such innovations within the course of an LSP is understanding the conditions in which their respective users decide to adopt them (or not). Accordingly, in this study we explore IoT adoption barriers in four LSPs in Europe from the following domains: smart cities, autonomous driving, wearables and smart agriculture and farming. By applying Roger’s Diffusion of Innovation as a theoretical lens and using empirical data from workshops and expert interviews, we identify a set of common and domain specific adoption barriers. Our results reveal that trust, cost, perceived value, privacy and security are common concerns, yet shape differently across domains. In order to overcome various barriers, the relative advantage or value of using the innovation needs to be clearly communicated and related to the users’ situational use; while this value can be economic in some domains, it is more hedonic in others. LSPs were particularly challenged in applying established strategies to overcome some of those barriers (e.g., co-creation with end-users) due to the immaturity of the technology as well as the scale of pilots. Accordingly, we reflect on the theoretical choice in the discussion as well as the implications of this study on research and practice. We conclude with providing practical recommendations to LSPs and avenues for future research

  • 2.
    Rizk, Aya
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Data Analytics in Service Systems: Exploring Analytics-based Value Co-creation2016Conference paper (Refereed)
    Abstract [en]

    With the increasing pervasiveness of ICT in our everyday practices, we are turning into moving ‘data generators’. Service systems, among many organizational configurations, are striving to create value from the vast data generated by utilizing data analytics, which in turn informs the design and delivery of their innovative services. While data analytics is perceived to generate high value to organizations, we know little about how this process unfolds, what values can be captured, and if they change on different loci of value within service systems. To address these gaps, this paper outlines a research study to explore analytics-driven service systems using a sociomaterial theoretical lens. The study will follow a qualitative research approach, drawing on empirical data from a smart city context.

  • 3.
    Rizk, Aya
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Bergvall-Kåreborn, Birgitta
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Elragal, Ahmed
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Digital Service Innovation Enabled by Big Data Analytics: A Review and the Way Forward2017In: Proceedings of the 50th Hawaii International Conference on System Sciences 2017, University of Hawai'i at Manoa , 2017, p. 1247-1256Conference paper (Refereed)
    Abstract [en]

    Service innovation is attracting attention with the expanding service industries and economies. Accompanied by major developments in ICT and sensory and digital technologies, the interest in digital service innovation (DSI), both from academia and industry, is increasing. Digitization and the accompanying technological advancements are leading to phenomena that call for extensive research in relation to service innovation; one of which is big data analytics (BDA). In this paper, we review the DSI literature and explore how BDA can contribute along the different dimensions of DSI. The ex post literature suffers from the lack of such studies. Accordingly, we suggest a research agenda for BDA-enabled DSI, motivated by emerging research gaps, as well as opportunities and guiding research questions. It is expected that such research agenda will contribute to shape an ex ante research efforts in an attempt to advance the state-of-the-art in BDA-enabled DSI.

  • 4.
    Rizk, Aya
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Bergvall-Kåreborn, Birgitta
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Elragal, Ahmed
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Towards A Taxonomy of Data-driven Digital Services2018Conference paper (Refereed)
    Abstract [en]

    Digitization is transforming every domain nowadays, leading to a growing body of knowledge on digital service innovation. Coupled with the generation and collection of big data, data-driven digital services are becoming of great importance to business, economy and society. This paper aims to classify the different types of data-driven digital services, as a first step to understand their characteristics and dynamics. A taxonomy is developed and the emerging characteristics include data acquisition mechanisms, data exploitation, insights utilization, and service interaction characteristics. The examined services fall into 15 distinct types and are further clustered into 3 classes of types: distributed analytics intermediaries, visual data-driven services, and analytics-embedded services. Such contribution enables service designers and providers to understand the key aspects in utilizing data and analytics in the design and delivery of their services. The taxonomy is set out to shape the direction and scope of scholarly discourse around digital service innovation research and practice.

  • 5.
    Rizk, Aya
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Digital Services and Systems.
    Elragal, Ahmed
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Digital Services and Systems.
    Data science: developing theoretical contributions in information systems via text analytics2020In: Journal of Big Data, E-ISSN 2196-1115, Vol. 7, article id 7Article in journal (Refereed)
    Abstract [en]

    Scholars have been increasingly calling for innovative research in the organizational sciences in general, and the information systems (IS) field in specific, one that breaks from the dominance of gap-spotting and specific methodical confinements. Hence, pushing the boundaries of information systems is needed, and one way to do so is by relying more on data and less on a priori theory. Data, being considered one of the most important resources in research, and society at large, requires the application of scientific methods to extract valuable knowledge towards theoretical development. However, the nature of knowledge varies from a scientific discipline to another, and the views on data science (DS) studies are substantially diverse. These views vary from being seen as a new scientific (fourth) paradigm, to an extension of existing paradigms with new tools and methods, to a phenomenon or object of study. In this paper, we review these perspectives and expand on the view of data science as a methodology for scientific inquiry. Motivated by the IS discipline’s history and accumulated knowledge in using DS methods for understanding organizational and societal phenomena, IS theory and theoretical contributions are given particular attention as the key outcome of adopting such methodology. Exemplar studies are analyzed to show how rigor can be achieved, and an illustrative example using text analytics to study digital innovation is provided to guide researchers.

  • 6.
    Rizk, Aya
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Johansson, Jan-Olov
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Distance- Spanning Technology.
    Holst, Marita
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Distance- Spanning Technology.
    Heijnen, Adriënne
    Palacios, Belén
    Lynch, John
    Harderberg, Esben
    Lindstrøm, Michelle
    Christophersen, Sebastian
    Cuenca, Juan
    Gutiérrez, Veronica
    Theodoridis, Evangelos
    Etienne, Gandrille
    Co-Creating Smart Cities of the Future: First Open Call Instructions2016Report (Other academic)
  • 7.
    Rizk, Aya
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Konietzny, Jirka
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
    Cassar, Mario
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
    Wong, Richard
    KTH Royal Intstitute of Technology.
    Wallström, Åsa
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
    Vella, Joseph
    University of Malta.
    The Taste of Ageing: a 26-Year Analysis of Publications in the International Journal of Wine Business Research2017In: Back to the Future: Using Marketing Basics to Provide Customer Value: Proceedings of the 2017 Academy of Marketing Science (AMS) Annual Conference, 2017Conference paper (Refereed)
    Abstract [en]

    This study analyses the content of the International Journal of Wine Business Research (IJWBR) and gives editors, reviewers, authors and practitioners an overview over the journal’s development over 26 years. The articles published in the journal since its inception in 1989 till 2014, inclusive, were analyzed in two time frames. The first time frame covers 1989 to 2006 as the International Journal of Wine Marketing (IJWM), while the second time frame covers 2007 to 2014 as IJWBR, the new name under which the journal re-launched. All types of articles are included in the analysis with the exception of editorials, guest editorials and research notes. Five main themes are addressed: the nature of authorship, the most prolific and influential authors, characteristics of the manuscripts, regional distribution of the wine’s region-of-origin and focal markets, and the most common research themes.

     

    The content analysis of this journal sheds light on how the style of the journal has evolved since its inception in 1989 onto the second time frame. The types of articles and methods used have been consistent in the early issues (1989-2006). However, since 2007 the journal has welcomed more academic and quantitative articles. The change motivated new authors to write longer articles, collaborate more, use more references, tables and figures. As a result, the journal’s impact has increased significantly. In addition, empirical studies published in the journal indicated an increase in the publications covering the Americas as both regions of origin and focal markets, as compared to other regions. This is the first time a content analysis has been carried out for IJWBR. The objective is to help authors identifying new and interesting research areas as well as to give editors and reviewers insight into the style and areas explored since the journal’s inception. By using software tools for data collection and analysis, the study is bound to the limitations inherent from these tools.

  • 8.
    Rizk, Aya
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Konietzny, Jirka
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
    Cassar, Mario
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
    Wong, Richard
    Royal Intstitute of Technology (KTH), Stockholm.
    Wallström, Åsa
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
    Vella, Joseph
    Department of Corporate Communication, University of Malta.
    The Taste of Ageing, a 26-Year Analysis of Publications in the International Journal of Wine Business Research: An Abstract2018In: Back to the Future: Using Marketing Basics to Provide Customer Value : Proceedings of the 2017 Academy of Marketing Science (AMS) Annual Conference / [ed] Nina Krey, Patricia Rossi, Cham: Springer, 2018, p. 341-342Conference paper (Refereed)
    Abstract [en]

    This study analyses the content of the International Journal of Wine Business Research (IJWBR) and gives editors, reviewers, authors and practitioners an overview over the journal’s development over 26 years. The articles published in the journal since its inception in 1989 till 2014, inclusive, were analysed in two time frames. The first time frame covers 1989–2006 as the International Journal of Wine Marketing (IJWM), while the second time frame covers 2007–2014 as IJWBR, the new name under which the journal relaunched. All types of articles are included in the analysis with the exception of editorials, guest editorials and research notes. Five main themes are addressed: the nature of authorship, the most prolific and influential authors, characteristics of the manuscripts, regional distribution of the wine’s region-of-origin and focal markets, and the most common research themes.

    The content analysis of this journal sheds light on how the style of the journal has evolved since its inception in 1989 onto the second time frame. The types of articles and methods used have been consistent in the early issues (1989–2006). However, since 2007 the journal has welcomed more academic and quantitative articles. The change motivated new authors to write longer articles, collaborate more and use more references, tables and figures. As a result, the journal’s impact has increased significantly. In addition, empirical studies published in the journal indicated an increase in the publications covering the Americas as both regions of origin and focal markets, as compared to other regions. This is the first time a content analysis has been carried out for IJWBR. The objective is to help authors identifying new and interesting research areas as well as to give editors and reviewers insight into the style and areas explored since the journal’s inception. By using software tools for data collection and analysis, the study is bound to the limitations inherent from these tools.

1 - 8 of 8
CiteExportLink to result list
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Cite
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  • ieee
  • modern-language-association-8th-edition
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  • en-US
  • fi-FI
  • nn-NO
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  • Other locale
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