Titlebook: Challenges and Opportunities in the Digital Era; 17th IFIP WG 6.11 Co Salah A. Al-Sharhan,Antonis C. Simintiras,Nripendr Conference proceed

泥瓦匠

https://doi.org/10.1007/978-3-031-48291-5of representing feedback to meet these criteria, is the representation of the effect of multiple concepts on a single concept. Currently, most of the methods (linguistic knowledge base, expert knowledge base, and ontology) used in representing knowledge in an adaptive learning environment only provi

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Barter

https://doi.org/10.1007/978-3-031-48291-5every 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 deve

mediocrity

Challenges and Opportunities in the Digital Era978-3-030-02131-3Series ISSN 0302-9743 Series E-ISSN 1611-3349

FILTH

https://doi.org/10.1007/978-3-031-48291-5s a derivative metaphor used to describe the success of the ecosystem. In this paper, we describe the key shortcomings of ecosystem health research. We put forward two key postulates of ecosystem health. Based on these postulates we present a research agenda for ecosystem health.

Chronic

Is Ecosystem Health a Useful Metaphor? Towards a Research Agenda for Ecosystem Health Research,s a derivative metaphor used to describe the success of the ecosystem. In this paper, we describe the key shortcomings of ecosystem health research. We put forward two key postulates of ecosystem health. Based on these postulates we present a research agenda for ecosystem health.

吹牛大王

https://doi.org/10.1007/978-3-030-02131-3artificial intelligence; business models; computer networks; education; electronic commerce; information

乳白光

Antigen

BAIT

Mobile Application Adoption Predictors: Systematic Review of UTAUT2 Studies Using Weight Analysis,n understanding various predictors of consumer adoption towards mobiles technologies in particular mobile applications. This study intend to fulfil this purpose through weight analysis on mobile application adoption based studies that utilized UTAUT2 model. Studies needed for weight analysis were lo