How USA Smart Home Integration Consultants Deliver Whole-Home Automation Solutions
The initial phase was choosing from the content point of view the most pertinent periodicals. Thus, merely the papers that have as main target of investigation the "Smart Home," for the first cluster, the "Internet of Things," for the second one, and "Data," for the third one. This criterion let works with these themes as auxiliary excluded from consideration. Just the results
with the above described terms in the Title will help to simplify the choice. Abstr.The second phase involved linking the phrases "Smart Home" and "Internet of Things" with more particular terms related to the research issues. The necessity was to target the papers research on the Smart Home value generation and strategies since the thesis work focuses
on these subjects. As said above, examples of combinations in the first bunch are "Smart Home Business Model," or "Smart Home Business Value," while in the second group "Internet of Things Strategy," or "Internet of Things Management," and so on. Act or Keywords Lists Moreover, considering the significance of the ecosystem of actors and roles in the value
Network some searches targeted these issues Internet of Things
Value Network, Internet of Things Ecosystem," "Smart Home Roles," "Smart Home Actors."Regarding the Smart Home and few more in relation to the Internet of Things, both the searches on strategies/business models and on roles/actors/ecosystems yielded few results. This made it more necessary to delve deeper on these subjects using a particular
dissertation. Regarding the third supplemental cluster, the search on "Data" focused mostly on the publications on the Smart Home, Internet of Things, or strategy in general. Pairings for example may be "Data Smart Home," "Data Internet of Things," "Data Strategy," "Data Business Models," or "Data Value. Regarding the technical publications, they abound on the
internet in both the first and second categories: Out of the Smart Home, 54 papers on technological difficulties were discovered; out of the Internet of Things, 111. Of them, only the most general ones fit this literature review: in reality, they provide the required fundamental knowledge regarding exploited technologies, communication protocols and architectures.
Furthermore the people that handle interoperability were thought
to be interesting for the development of ecosystems.Fixing the maximum number of papers to be incorporated into the study came last in the process. Analyzing too many publications ran the danger of increasing the complexity; so, a more accurate and intense examination on a small number of well-oriented studies was advised. Fixed on the sample's maximum
numerosity was set. Filtering after filtering, the papers added to the literature review were regarding Smart Home, 40 about Internet of Things and 15 on Data.MeMany of the decisions adopted in the context of the literature study were obviously subjective: for example, the decision to use those three scientific search engines, handle the three categories, or apply
some filters and so on. Given the need for personal hypotheses, this is clear in every literature review. Though not mandatorially better, more satisfactory, or too much far from the actual, alternate decisions would have had somewhat different results. The guiding principle underpinning the choices,Among the publications, the most valuable ones are Information
Technology Cleaner Production Indoor and Built Environment
Engineering Applications of Artificial Intelligence; Top Quality Management and Business Excellence; Technological Forecasting and Social Change; Small Business and Enterprise Development.The papers were next arranged according to topic. Of course, each of the three macro-categories Smart Home, Internet of Things, Data have sub-topics. Once identified the
category, this literature assessment favored a simpler one-level classification.Understanding the state-of- the-art about value network logics and paths to profits inside the Smart Home ecosystem depends on the strategic papers of the first category most critically. To date the work of academics to figure out the proper mission and scope for each actor and to determine
the optimum business model is still incomplete. As will also be explained in the section of Chapter 5 on literature gaps Every publication in this cluster tackles the necessity of adopting a value network viewpoint in view of the Smart Home ecosystem analysis. As will be shown in Chapter 5, corporations cannot be analyzed separately but always considering the process of
Conclution
value delivery and extraction with the other engaged actors as the need of building collaborations and partnerships inside the industry is so great. Respect the topic instead pay more attention to a more intricate two- or three-level one. This helps to solve the need for a classification capable of controlling the trade-off between complexity and information poverty This kind of classification is entirely arbitrary and developed by reading the papers
continuously. Regarding the first category, Smart Home, the found scopes are elopement;Future Generation Computer Systems; Energy Policy; Information Management Sustainability, Marketing Management; Manufacturing Technology, Systems Science and Systems Engineering; Smart Home; Business Horizons; Computer Communication Research in Marketing; Network and Computer Applications; Operations and Production Management
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