Adoption Barriers of NGIoT technologies

Adoption Barriers of NGIoT technologies

toward impact evaluation perspective of the project H2020 ASSIST-IoT (GA 957258)
Purpose of the questionnaire

This survey is part of the project "Architecture for Scalable, Self-*, human-centric,
Intelligent, Secure, and Tactile next generation IoT’ — ‘ASSIST-IoT’", funded by the European Union’sHorizon 2020 research and innovation programme under grant agreement no. 957258.

The task T8.4 (part of WP8) of the project ASSIST-IoT has developed this questionnaire containing tables and heterogenous fields in order to understand the adoption and implementation barriers of Next Generation IoT solutions (i.e., administrative, political, financial, technological, geographical, cultural or problem related barriers/drivers.).

At this purpose WP8 relies on the exposed information on the already developed deliverables of the project (https://assist-iot.eu) and spreads this questionnaire to selected experts and stakeholders to gain knowledge on such barriers and drivers.

The questionnaire is structured in seven parts, starting with a profiling chapter to understand the responder background, followed by several sub-parts corresponding to the features that characterize each barrier, with a combination of different kinds
of questions (examples: open, closed....).

The aims of the survey are:
- To collect experts’ and stakeholders’ opinions on the relevance of each barrier and specific aspect, in order to feed back the technical and exploitation approaches of the results of ASSIST-IoT.
- To understand the different views of the barriers depending on the respondent profiles,
- If necessary, to map additional barriers which had not been considered
This questionnaire is the first of a series of three surveys that are planned to be exerted by T8.4 of ASSIST-IoT. Whereas this instance focuses on global barriers and their main reasons, the second one will mostly address technological details and the third one will analyse sector-specific concerns alongside highlighting the drivers instead of the barriers.
Disclaimer about confidentiality and use of the data

All collected data will be anonymised and held securely in line with Universitat Politècnica de València ethics requirements, and national legislation requirements that are in line with EU Directives and Regulations. More specifically, the General Data Protection Regulation (GDPR) ((EU) 2016/679), the Data Protection Law Enforcement Directive ((EU) 2016/680), the Directive on privacy and electronic communications (2002/58/EC), and the Regulation on the processing of personal data by the Union institutions and bodies ((EU) 2018/1725). Only information about profiles will be stored with the purpose for knowledge gathering and ASSIST-IoT project documentation reporting. The results of the survey will be aggregated, analysed and described in a synthesis report. An electronic version of the final report will be sent upon request.

The information, responses and opinions provided by the participants, are their personal opinions, and under no circumstances reflect those of their relevant organisations.

In the implementation of this survey, the ASSIST-IoT partners will follow the ethical principles, as specified in the Data Management Plan of the project as well as in the Ethics and Privacy Protection Manuals v1 & v2. All collected data will be anonymised and held securely in line with the partners' ethics requirements, national legislation requirements and EU Directives’ requirements.

- ADMINISTRATIVE/OPERATIVE BARRIERS -

Please rate the importance of the following barriers in the adoption of innovative NGIoT and edge computing solutions:

	N/A	No importance	Medium Importance	High importance	Very high importance
Lack of interest and undervaluing IoT devices and computation closer to the data source potential
Little availability of skilled workforce, becoming a major concern for the adoption of edge computing technology.
Lack of trusted information and experience (companies may not trust European companies who may provide them next generation IoT solutions)
Difficulties in using new NGIoT technologies (steep learning curve)
Training and skills of already engaged professionals
Disadvantages of moving from current cloud computing “in force” solutions and contracts
Unclear access to NGIoT technologies in local/usual service/equipment providers

- FINANCIAL BARRIERS -

Please rate the importance of the following barriers in the adoption of innovative NGIoT and edge computing solutions:

	N/A	No importance	Medium Importance	High importance	Very high importance
Lack of funds or access to finance, lack of financial incentives, high capital costs and financial risk to invest in NGIoT technologies
High investment required for unclear RoI, specially for those companies that are not as agile as tech-based SMEs
Limited short-term payback expectations and investment horizons
Current deprecation costs of already acquired on-premises equipment
Required investment from moving to current deployment to new approaches involving NGIoT infrastructure
Price of some NGIoT related features (e.g., 5G assets, low-latency network devices, MR/VR/AR large-scale equipment)
High salaries required by skilled staff specialized in NGIoT sector
Potential volatility of trends in the NGIoT sector (very changing landscape from year to year and even more frequently)

- CULTURAL BARRIERS -
What ethical and legal issues might hinder the adoption of cloud and edge systems?
What ethical and legal issues might facilitate the adoption of cloud and edge systems?

Please rate the importance of the following barriers in the adoption of innovative NGIoT and edge computing solutions:

	N/A	No importance	Medium Importance	High importance	Very high importance
Hesitation to trust new technologies
Legacy – trade off of efforts moving from previous technology to a newer one in terms of behaviour and adaptation of staff and whole company functioning
Unwillingness to share data of the company in a distributed NGIoT ecosystem
Data privacy concerns that are tied to the usage of edge advanced AI methods or applications orchestration across computing sites