Conference Topic

Main topics of the Call-for-Papers:


Blockchain - Technology & Business Impact

Blockchains and their key elements distributed ledgers, smart contracts and decentralized apps have a unique disruptive potential on business models in many industries ranging from finance through energy and logistics to IoT. Applications comprise digital currencies or assets, digital identity, proof of ownership, provenance, digital rights management, and secure distributed storage. Blockchains may also be especially beneficial for data exchange between companies and other third parties, e.g. in supply chains. The combinn of blockchain technology with big datatioa will create even greater opportunities: For example, blockchains may enhance big data storage solutions regarding data governance and quality and advanced analytics can unlock valuable insights from blockchain-enabled data stores.
The session “Blockchain" will shed light on both technical topics as well as business impacts of blockchain technology. This session will be divided in two tracks, one for practitioners and the other for the scientific community. For the first track, we invite people with experience on the application of blockchain technologies in real world cases to submit their intention to present their contributions. For the later, we invite researchers to present scientific papers about the topic, that if accepted will be published in the conference proceedings, with the best papers invited to submit an extended version on the topic on the Special Issue “Blockchain and Tokenizatin in Industry” of the Computers & Industrial Engineering: An International Journal (Elsevier, Impact Factor: 2.623).

Blockchain and Tokenization in Industry

The Blockchain Technology is said to be one of the most disruptive technology of the decade. It allows mutually mistrusting entities to exchange records on a shared ledger and interact without relying on a trusted third party. A blockchain moreover provides an integrity protected data storage that is much more secure than those stored in centralised servers while at the same time providing for process transparency. These attributes of the Blockchain allow its use in multiple applications in Industry and Services. Any application where interacting parties need to share data but cannot trust a central server can benefit from blockchain applications, thus making it ideal for cross-organizational data exchange.

Artificial Intelligence, Big Data and Deep Learning

Artificial Intelligence (AI) is a hot topic. Machines are no longer programmed but trained, or they even learn independently. Many areas of economy and society will change dramatically.
The ICE/IEEE ITMC conference picks up this discussion and asks:
Where will we be in 2018? Which new technological developments will be available? How and for which purposes will we use it? In which fields will we find AI in the near future?

Apart from the rather “classical” technical AI topics, there are a lot of fields that are also affected by the newest AI developments. These are also relevant in the context of the conference. Two examples of where substantial questions will arise in the future are:

Machine Creativity – as we are not able to define what the core of creativity is – will there be something like machine creativity? Is AI the better Creative Director? What will its relationship to human creativity look like – cooperation or competition?
Ethical Questions – Which ethical or legal problems will arise, how do we deal with them? When and how will we move from weak to strong AI?

Let us know in what area you see AI in the near future, how this affects the scientific discussion and what the practical implications are.

Big Data: Challenges of master data management in the age of digitization

Digitization encompasses all areas of business. Even today, many value creation business models require the availability of high-quality data, and the importance of data for new business models will steadily increase. Special importance is attached to internal and external master data management with company resource data as a central element. The master data management encompasses all activities for the management of master data in and between companies. Although there is a great deal of research need in the field of master data management, it is clear that digitization poses further and new challenges for master data management. The use of new device types in the Internet of Things raises questions of the efficient management of data about these devices and their integration into the corporate processes in the area of master data management. Furthermore, issues that arise from the continuous flow of data from these devices for their processing and management must be considered. Digitization thus results in a variety of research needs: approaches to (master) data management must be extended, in particular, to unstructured data (“big data"). Through the integration of freely accessible, open databases (“Open Data") and their linking for example, based on extensible ontologies (linked data), large-scale data infrastructures are emerging. Data becomes a central component of business models or new services (“data-as-a-service"), whereby personal data must be protected.

Robotics & Autonomous Systems

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Immersive Technologies: VR, AR, MR

Virtual, Augmented & Mixed Reality has gained significant hype in the technology community over the last few years, and continues to be an active sector of research and development. While providing major improvements for consumer applications, these technologies also offer tremendous possibilities for optimizing industrial processes leading to improved product/service quality while significantly reducing production costs. Current major industrial application areas include: medical research and therapy, virtual training, manufacturing processes and several other sectors.

Internet of Things (IoT) & Cyber Physical Systems (CPS)

The enormous trend of digitization in industries is not only relevant for the planning and control of manufacturing, it relates directly to manufacturing processes and technologies, too. The generative building of parts and products directly from digital data, without molds, dies and dwarfs enables completely new approaches to realize physical products, for example based on complex or bionic designs, which are traditionally seen not manufacturable – not at all or not in an economic manner.

Additive Manufacturing & 3D Printing

The enormous trend of digitization in industries is not only relevant for the planning and control of manufacturing, it relates directly to manufacturing processes and technologies, too. The generative building of parts and products directly from digital data, without molds, dies and dwarfs enables completely new approaches to realize physical products, for example based on complex or bionic designs, which are traditionally seen not manufacturable – not at all or not in an economic manner.

Commercializing Technology

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Digitalized Manufacturing Systems driving new Business Models and Ecosystems

Advances in digital technologies and their application in the industrial domain led to the emergence of business models relying on a broad adoption of digital platforms dedicated to industrial scenarios (automation, simulation, supply chain management, etc.). This special session is intended to cover how the integration of digital technologies within industrial plants can federate business model innovation, focusing on how the different levels of the industrial value chain can be supported and/or rearranged by the adoption of digital platforms carrying technological contents and by the creation of new BtoB/BtoC ecosystems.

Future Trends in Microsystems Technology

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Digital Twin Education and Training

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Industrial Internet & Industry 4.0 – Methods, Standards & Reference Architectures

Planning, building and running of cross domain Industrial Internet systems (Ecosystems) require common standards, methods and reference architectures to ensure interconnectivity and interoperability. The session therefore addresses the challenges we do face from different perspectives. Topics of the session are but not limited to IIoT driven business opportunities, IIoT development with respect to reference architectures, build methods and tools as well as Verification and Validation and how is V&V affected by system boundaries which span across organizations and domains. The session is supposed to provide answers or pointers towards a practical approaches.

ICT for Health Care: Technology & care settings in an aging society

The digital transformation of healthcare services is one of the key challenges in health and social
care. While providing opportunities to improve outcomes and reduce costs of healthcare, ICT also
brings new challenges and risks. This session is focusing on ICT for Healthcare in an ageing society,
including but not limited to:
 ICT for patient empowerment & self management;
 ICT supported collaboration and integrated care;
 Technical aspects such as data security, privacy enhancing technologies, interoperability;
 Societal implications, e.g. privacy, technology acceptance and digital health literacy.

Future Mobility & Smart Mobility: changes in market parameters (technology, players, customer behavior)

This session will bridge and combine the polarity in the discussions on mobility regarding technology on the one end and the market / users on the other end. The impact of new technology, or new combinations of existing technologies in addressing the needs of the market are a common point of interest in this session. With the advent of new paradigms and technology for mobility a change in industry can be observed and have to be further explored and explained.

Smart buildings, Smart-Cities and Development of Positive Energy Blocks

This session aims at giving a global and still concrete approach to the major challenge of sustainableurbandevelopment with energy as the backbone of the exchange.To this purpose, a number of paths have to be explored, relyingon already acquired experience:

 The development of local renewable energy production, consumption and storage,accompanied with the adequate Smart Energy Grid infrastructure.

 The use of recyclable/reusable materials in buildings and infrastructure construction torespond to circular economy principles while impacting energy efficiency using the life cycleapproach.

 The improved application of digital solutions like BIM, IoT, 3D printing …at various levels ofthe economic activity, with the smart energy and data grids as the core networks… thesemany challenges not only have to be taken on individually, the now need to be met takingeach other into account to reach optimal, sustainable and flexible responses.

 The deployment of integrated innovative solutions as the Positive Energy Blocks (PEB),where multifunctional groups of buildings are connected together to optimize energy management and at the same time contribute to urban regeneration.Innovation in this context is a priority, not to say an emergency, given the size and complexity of thetask. Both EU and national innovation programmes need to focus on this «urban challenge» withnot only European but also world wide implications

Forms of Self-Organization as Prerequisite for Innovativeness

Self-organization in firms can assume very different forms.Not all of them help to increaseinnovativeness or the ability to adapt the innovations of others. In the workshopdifferenttypes ofself-organization in firmsare presented. Real cases than demonstrate, in which situations thedifferent forms of self-organization are appropriate to increase innovativeness and how they can befostered

Servitization: Service Engineering & Service Thinking

Innovation is increasingly “service innovation"; The development of new offers to the market is more and more dominated by the development of services. And the starting point for successful development processes is a thinking that focuses on the “service to the customer".

Reasons are the progressing “dematerialization" of the economy, driven by digitisation. This is evident in the success of digital service companies such as Amazon, Uber, Google, Facebook and others. But even traditional industrial companies will only master their future if they understand themselves and their products as an integral component of comprehensive “service ecosystems" for the creation of value for the customer (“Value in Context"). Traditional service providers, such as energy suppliers and the financial services industry, are also reinventing themselves and transforming into “smart service providers".

Sustainable Engineering

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Smart Services and Software Platforms

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Advanced Organization Technologies

The survival in turbulent business environment drastically depends on gaining and supporting competitive advantages. There is a great variety of ways to be competitive: by means of product innovation, key engineering technologies, sophisticated IT –
structure. Whatever the industrial enterprises would choose they definitely should take into consideration organization technologies. Obviously the vector of current industrial development is aimed primarily at the intellectualization: smart enterprises, smart connectivity, Industry 4.0, Internet of things, development of robotics and autonomous systems. That in turn requires the development of appropriate organization technologies in various spheres of smart industrial enterprises. That’s why the issues concerning „Advanced Organization Technologies" is of great importance to be discussed.

Rethinking Project Management

The special session “Rethink Project Management” is the 3rd edition in the context of the International Conference on Engineering, Technology and Innovation. It includes topics covering setting the future research agenda, the research and application in management of single projects, mega projects and programmes as (semi-) temporary organisations driving strategic change programs in organizations, the management of project portfolios, and particularly the management of project-oriented organisations, which are created and engaged namely to manage projects and programmes that are public-private funded and sponsored, such as the university-industry collaborations.

Women & STEM (Science, Technology, Engineering, Mathematics)

The session “Women & STEM" deals with diversity and gender in STEM. We are trying to answer questions like: What are the effects of gender imbalances in STEM? What are the reasons for them and what can be done about them? What role do biases, stereotypes and gender-specific power relations play? What has already been achieved?

SCM 4.0 - Supply and Demand Chain Management in the Digital Age

The term “Industry 4.0” encompasses the promise of a new industrial revolution – one that marries advanced manufacturing techniques with the internet of things (IoT) to create a digital manufacturing enterprise that is not only interconnected, but communicates, analyzes, and uses information to further drive intelligent action back into the physical world. The topic aims to cover the insights from global research communities towards the practical and technological advances towards the aspects of “future digital supply chains".

Energy Supply and Energy Utilities

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Digital Construction

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Innovation & Entrepreneurship

Living-Labs & Open-Innovation: Innovation in the Fuzzy Front-End Process, User Driven Innovation, eXperience Design, User eXperience & Design Thinking

 While Living-Labs, known as “Public-Private-People Partnership” (4P) (Pallot, 2009), Fab-Labs, known as “Do-It-Yourself” and other firms’ Open-Labs are recognized as open-innovation intermediaries (Osorio et al. 2015), there are still mature enterprises, SMEs and even start-ups that do not have the proper environment to create breakthrough innovations to enhance their competitiveness (Lecossier et al., 2017). 


Such open-innovation intermediaries often succeed in providing an appropriate innovation environment (organization, infrastructure, methods & tools) that allows engaging all stakeholders (e.g. Architects, Marketers, Designers, Engineers, Scientists), especially user communities, either from public authorities or private organizations in innovation projects, at the earlier stage, for co-creating value (Pallot, 2009). 

Even crowdsourcing platforms (e.g. Innocentive) have become quite popular for sourcing ideas and solutions in connecting firms to people (e.g. retired engineers, scientists) who subscribe to the innovation intermediary website in order to submit solutions to posted firms’ challenges. 


There are User-Centered Methods (UCD), such as: Design Thinking (DT) or eXperience Design (XD), that are often used as a corner stone for articulating, around users, the interdisciplinary approach in involving a multidisciplinary team composed of, for example: Marketers, Designers, Engineers and scientists. The main goal resides in co-creating, exploring, experimenting and evaluating ideas, innovative concepts and usage scenarios from different perspectives, especially anticipating what will be the User eXperience (Pallot & Pawar, 2012). Bearing in mind that UX is a multidimensional concept that often includes human, social, cultural, societal, technological and economical dimensions (Pallot & Pawar, 2012). Both quantitative and qualitative methods are traditionally applied during User eXperience (UX) studies; however, the “mixed method” was experimented more recently (Krawczyk et al., 2017) during the early stage of an App design. 


Furthermore, there are methods, techniques and tools that allow a team to be collectively immersed in new ideas, innovative concepts and usage scenarios at the earlier stage through product or service prototyping (physical: 3D-printing and functional kit or virtual: immersive technology (VR, AR, MR)) (Dupont et al., 2016; 2017; Pallot et al., 2017). 


Pallot M. (2009). Engaging Users into Research and Innovation: The Living Lab Approach as a User Centred Open Innovation Ecosystem. Webergence Blog. “Archived copy". Archived from the original on 2012-05-09. Retrieved 2011-06-07. 

Technology & Trend Foresight Management

Will Big Data and AI fundamentally change the
way we conduct Technology Management and Foresight? 

This topic discusses actual realizations and
future developments with regard to methods and processes but also
employee-related implications.


Big Data and Artificial intelligence will considerably
speed up the framework conditions of companies. By looking at this fast-changing
environment, future developments (with respect to market, technology,
society) need to be identified, evaluated, and then transferred into valuable
insights and concrete actions for the companies. Corporate foresight enables
a valuable input for strategic planning and is thus an important component of
technology and innovation management to identify a company’s future chances
and risks.

Sessions in the context of this topic discuss
corporate foresight methods such as trend & technology radars, road
mapping and scenario development. This also comprises the integration into core
processes of a company.

Design-enabled Innovation in Cities

This will focus on innovation of design related topics applied at a city level.

Digital Simulation of Business Models

Innovative business models require
digital support to become a digital twin. Trends such as digitization, big data,
e-mobility, smart city etc. have passed the relevant tipping points and are
therefore irreversible. This implies that existing companies have to
reconsider their business models and numerous startups want to generate new added
value, especially at the interface to the customer.


To optimize and efficiently design
the development process, these business models have to be developed and
tested with digital support up to the digital twin in its final state. A
digital twin bridges the physical and digital world, creating a living
digital model. Due to the growth of the Internet of Things, this digital
model can be brought to life in an operational context. It offers a powerful
way to facilitate cost effectiveness, ease implementation and improve the
monitoring and control of processes, generating economic value. The
complexity of the digital twin thereby depends on the use case, the industry
and the business objective.


The purpose of this session is to
show how digitizing the development process and simulating business models
works in different industries and with different technologies.

Responsible Research & Innovation – Socio-Technical Integration Research

Recently, industry 4.0,
digitalization, robotics, self-driving cars are key words. The self-driving
cars caught the attention of the world population and the majority of the
people started to guess the impacts on their own daily life, the economy and
the transport. This radical innovation will change our daily life, however,
it may have negative and not predicted impacts which may cause serious
problems. If one could consider this radical innovation in the framework of
the Responsible Research and Innovation (RRI), then these negative impacts
could be minimalized. The RRI as a concept emerged after the Millennium in
the European Union as a potential respond to the challenges that the
research, development and innovation may raise. Namely, RDI activities are
about to ease our life and increase productivity with higher technological
level, but these may result in undesired and unpredicted effects as well
(e.g. environmental impacts of the neon gas; social impacts of the smart
phones). All in all, some innovations will not be socially-desired


In the last few years, the
academic discourse was about how to define this concept, but lately more
emphasis is put on the practical implementation of the RRI. There are several
methods with which the academic researchers try to increase the consciousness
of the scientist during their research activities (real time management,
living labs, forums, STIR, etc.). Since the technological improvement is in
the hand of natural scientists who have less knowledge (or sensitivity)
towards social issues which are basic elements of the RRI concept. Thus, the
social and technical integration during the RDI activities needs more attention.


This session is open to all contributions
which address the challenges of socio-technical integration regardless of the
tools used and regardless of the sector (academia or business).

Technology Transfer: Academic Entrepreneurship, Star Scientists and Innovation Systems

This topic is about technology transfer in all facets. Papers may in
particular look at how research and academic entrepreneurship can nourish new
industry formation by transferring scientific knowledge into practice. Star
scientists may play a critical role in the knowledge transfer.
Innovation systems are
fostering this process. Of particular relevance are also the implications of
digital transformation on technology transfer processes and innovation

Sustainability in Innovation & Entrepreneurship

Sustainability has
evolved into a guiding principle for business in the last years. Considering
an integrated economic, environmental and social perspective can trigger new
ideas for R&D and innovation and thus support the creation of environmentally
sound products and solutions.


However, from both
theoretical and practical perspectives, many questions arise on the
implementation of sustainability principles, such as: How can sustainability
aspects be integrated into traditional innovation management concepts? Which
methods and tools are required to foster innovations contributing to
sustainability goals or enabling a circular economy? How can social
innovations be designed which are also economically viable and
environmentally friendly? How does the triple-bottom line concept of
sustainability relate to or change the existing perception of
entrepreneurship? Innovation and entrepreneurship researchers could address these
questions and where practitioners can give valuable insights from their
experience. Contributions should address all management levels from business
strategy over processes, methods and tools.


Tech- & Digital Entrepreneurship

This topic will focus in the area of entrepreneurship utilising new technologies and the digitisation of new/existing business process.

Intrapreneurship & Corporate Venturing

More description coming soon!

Digital Social Networks: Driving Innovation, improving Working Conditions and improving Agility in Organizations

Digital social networks have been used
to communicate with friends and family and organize our leisure time for
quite some time now, leading to fundamental changes in the way people
interact. The use of social networks in a business context has so far been
focused on interacting with customers or job applicants. However, significant
potential exists for using social networks to re-organize business processes
within and across companies, to improve working conditions for employees and
to increase companies’ ability to self-organize and to be agile. The body of
knowledge regarding effects, design parameters and possibilities of the
afore-mentioned uses is still limited.

Entrepreneurial Finance

Young entrepreneurs, innovative start-up
firms or corporate ventures often struggle to access sufficient capital for
their further development. Capital is required to finance various fields of
entrepreneurial activity related to prototyping, sales, marketing and HR, for
example. In early stages, debt financing is typically not an available source
of funding, since entrepreneurs tend to lack profitability or tangible
assets. Therefore, topics that focus on the connection and interplay between
capital and entrepreneurial activity should be discussed in the course of
this conference to better understand how new ideas and technologies can be/
are funded.


Topics include, but are not limited to:

finance, innovation and capital, new financial businesses (FinTechs) and
products, alternative sources of capital, risk and return in private equity
investments, funding relations, strategic partnerships and alliances, financial
contracting issues, principal agent conflicts, public policies to connect
innovation and capital, Blockchain, Bitcoin and corporate development

Development of new business models incorporating digital twins

This topic will focus on how new business model to be developed to leverage on the recent developments of digital twins and associated technologies. This topic is use-case agnostic and application in any domain are welcomed.

Digital Innovation Management

This will focus on how innovation projects in the space of the latest disruptive digital developments, i.e Digital Twins, Artificial Intelligence, Deep learning etc… can be managed to ensure these technologies achieve their full potential