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Technoeconomics of the Internet of Things

This special issue belongs to the section “Information and Communications Technology“.

Special Issue Information

Dear Colleagues,

The MDPI Information Journal invites submissions for a Special Issue on the “Technoeconomics of the Internet of Things”.

The Internet of Things has been around for a while; however, its core components are only now becoming more accessible to consumers, which has made this technology incredibly appealing, globally. This evolution raises the need for studying the corresponding IoT market, from a technoeconomic standpoint and in terms of emerging business models, as well as financial, economic, cost benefit, risk and uncertainty, etc., analysis, while developing new pricing schemes, revenue and brokering models and market mechanism design.

Moreover, collecting data from a variety of IoT sources, combining that information with data from other sources and applying big data analytics are all steps that can be taken to arrive at decisions and take actions that have the potential to have significant economic, social, ecological and environmental implications. 

The successful deployment of IoT depends on its economic viability; thus, the technoeconomic analysis of IoT is a topic that holds important research attention. The technoeconomic analysis could promote potential economic possibilities, obstacles, operation objectives for process improvement and acknowledge further research requirements of the IoT ecosystem.

The aim of this Special Issue, “Technoeconomics of the Internet of Things", is to attract original and innovative research results from the application of technoeconomic assessment to the Internet of Things. 

Topics of interest include, but are not limited to, the following:

  • Technoeconomic assessment.
  • Cost and capital considerations: capital expenditures (CAPEX), operational expenditures (OPEX), total cost of ownership (TCO), etc.
  • Business case assessment.
  • Business models and strategies.
  • Financial, economic, cost benefit, etc. models and analysis.
  • Uncertainty and risk analysis.
  • Pricing schemes and revenue models.
  • Economic efficiency.
  • Decision support.
  • Market mechanisms, auctions models, etc.
  • Data analytics.

Dr. Christos Michalakelis
Prof. Dr. Mara Nikolaidou
Dr. Evangelia Filiopoulou
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Internet of Things
  • technoeconomics
  • technoeconomic assessment
  • business models
  • IoT costing
  • IoT pricing
  • risk analysis
  • economic efficiency
  • decision support
  • market mechanisms
  • data analytics

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Information - ISSN 2078-2489