Digital Innovation and Digital Transformation

Teachers

Included in study programs

Teaching results

Knowledge:
• A comprehensive view of digital innovation and digital business transformation, recognizing the fundamental differences between these concepts and their meaning in relation to the products produced, the services provided, complex business transformation and changes in business models.
Competence:
• critically evaluate the digitalization of business processes, digital innovation and digital transformation being aware of the fundamental differences and their impact on existing business,
• identify the potential in the development of information technology with an emphasis on disruptive changes impacting existing business models,
• the ability to apply innovative changes in relation to the digitalization of selected areas increasing the competitiveness of the business.
Skill:
• understand digital technologies,
• identify the potential of digital technologies in relation to business activities,
• link innovations in the digital domain to business, business processes, products and services,
• apply digital transformation strategies,
• assess the maturity level of digital transformation by applying the selected maturity model.

Indicative content

Thematic definition of exercises:
1. Digital business and changing the business world through information technology.
2. Digital ecosystem.
3. Internet of Things (IoT).
4. Ambient Intelligence.
5. Blockchain.
6. Additive manufacturing.
7. Augmented reality technologies.
8. Strategic challenges in digital innovation.
9. Digital innovation, perspectives on digitalization, strategic challenges of digital innovation and transformation, harnessing the value of digitalization - untapped opportunities, digital platforms.
10. Digital transformation.
11. Applying digital transformation frameworks and data-driven decision making.
12. The digital transformation maturity model.
13. Challenges that a traditional company may face on the path to digital transformation.

Support literature

Basic literature:
1. SIEBEL, Thomas M. Digital transformation: survive and thrive in an era of mass extinction. New York : RosettaBooks, 2019. 256 s. ISBN 1948122480.
2. HERBERT, Lindsay. Digital transformation: Build your organization's future for the innovation age. London : Bloomsbury Publishing, 2017. 264 s. ISBN 9781472940377.
3. NAMBISAN, Satish, et al. Handbook of digital innovation. Cheltenham : Edward Elgar Publishing, 2020. 320 s. ISBN 9781788119979.
4. GUPTA, Sunil. Driving Digital Strategy: A Guide to Reimagining Your Business Hardcover. Brighton : Harvard Business Review Press, 2018. 288 s. ISBN 163369268X.
5. GREENGARD, Samuel. The internet of things. Cambridge, Massachusetts : MIT Press, 2015. 210 s. ISBN 9780262527736.
Supplementary literature:
1. FISCHER, Marcus, et al. Strategy archetypes for digital transformation: Defining meta objectives using business process management. In: Information & Management 57.5. 2020: 103262.
2. BAIYERE, Abayomi, et al. Digital transformation and the new logics of business process management. In: European Journal of Information Systems 29.3. 2020: 238-259.
3. CORREANI, Alessia, et al. Implementing a digital strategy: Learning from the experience of three digital transformation projects. California Management Review 62.4. 2020: 37-56.
4. WESSEL, Lauri, et al. Unpacking the difference between digital transformation and IT-enabled organizational transformation. In: Journal of the Association for Information Systems 22.1. 2021.
5. XAVIER Olleros F. – ‎ ZHEGU Majlinda. Research Handbook on Digital Transformations. Cheltenham : Edward Elgar Pub, 2016. 455 s. ISBN 9781784717759.

Syllabus

Thematic definition of exercises: 1. Digital business and changing the business world through information technology. Digital innovation versus digitalisation. Examples of potential innovations and changes in business models. Business models as a tool for business model innovation. 2. Digital ecosystem. Technological developments leading to digital innovation. Selected technological trends affecting business models. 3. Internet of Things (IoT) - IoT technology, IoT components, IoT and IIoT application areas, IoT solutions for monitoring manufacturing equipment, IoT concept of product quality control based on condition monitoring, IoT concept of industrial asset inspection, predictive maintenance and condition monitoring of manufacturing equipment, IoT and IIoT requirements, IoT benefits to the enterprise, and barriers to IoT and IIoT implementation. 4. Ambient Intelligence - Ambient intelligence, intelligent pervasive technologies, background of AmI, areas of interest of AmI, characteristics and elements of AmI, AmI plaftorms, AmI scenarios, achieved effects of integrating innovative technologies into business processes, barriers to integrating innovative technologies, and building AmI. Creating an ambient ecosystem of the enterprise. 5. Blockchain - distributed decentralized database, blockchain principle, public and private blockchain, transactions, mining companies, decentralization, cryptography, blockchain application areas, blockchain security, risks and benefits of blockchain, digital currencies - platforms, properties, acquisition, payment and sale of cryptocurrency, cryptocurrency regulation, legislation and cryptocurrency. 6. Additive manufacturing - additive technologies, benefits and risks of additive manufacturing for the enterprise, types of additive technologies (FDM, SLA, SLS, PolyJet), areas of application of additive manufacturing, patents and additive manufacturing, rights and obligations of patent holders, policy impact of additive manufacturing on the industry. 7. Augmented reality technologies - definition of augmented reality, properties of augmented reality systems, Milgram's Reality-Virtuality continuum, application areas of augmented reality. 8. Strategic challenges in digital innovation. Integration of new digital technologies into business processes - case study, project on the use of IoT in predictive maintenance of production. Baseline analysis, requirements, enterprise resource analysis, data analysis, system architecture, technology implementation. 9. Digital innovation, perspectives on digitalization, strategic challenges of digital innovation and transformation, harnessing the value of digitalization - untapped opportunities, digital platforms. 10. Digital transformation. Digital transformation strategy. Stakeholders and their role in the development of digital transformation strategy and in the transformation process itself. Phases and stages of digital transformation. 11. Applying digital transformation frameworks and data-driven decision making. Principles of digital business strategy. Elements of digital transformation according to MIT Sloan. Cognitive framework for digital transformation. 12. The digital transformation maturity model. Critical factors and reasons for failure of digital transformation projects. Employee training in digital transformation. 13. Challenges that a traditional company may face on the path to digital transformation. Presentation of a comprehensive digital transformation project (plan) of the selected company.

Requirements to complete the course

20 % case studies, 20 % continuous written work, 60 % written examination

Student workload

78 h (attendance at seminars 26 h, preparation for seminars 13 h, preparation of seminar paper 20 h, preparation for examination 19 h)

Language whose command is required to complete the course

Slovak

Date of approval: 11.03.2024

Date of the latest change: 14.05.2022