From the article: Though organizations are increasingly aware that the huge amounts of digital data that are being generated, both inside and outside the organization, offer many opportunities for service innovation, realizing the promise of big data is often not straightforward. Organizations are faced with many challenges, such as regulatory requirements, data collection issues, data analysis issues, and even ideation. In practice, many approaches can be used to develop new datadriven services. In this paper we present a first step in defining a process for assembling data-driven service development methods and techniques that are tuned to the context in which the service is developed. Our approach is based on the situational method engineering approach, tuning it to the context of datadriven service development. Published in: Reinhartz-Berger I., Zdravkovic J., Gulden J., Schmidt R. (eds) Enterprise, Business-Process and Information Systems Modeling. BPMDS 2019, EMMSAD 2019. Lecture Notes in Business Information Processing, vol 352. Springer. The final authenticated version of this paper is available online at https://doi.org/10.1007/978-3-030-20618-5_11.
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ABSTRACT. It is now generally accepted that the quality of the regulatory arrangements should be appraised not only by looking at the institutional design, but also by evaluating the factual enforcement and implementation of regulations. It is therefore advised that national governments take a more active stance in supervising the regulatory enforcement by different regulatory agencies. However, in some cases, government’s activism might be an impeding factor in regulatory enforcement. That this is not so crazy idea shows the analysis of the regulatory enforcement by Lithuanian Competition Authority in the area of competition policy during the years of integration to the European Union. For example, not only political and financial independence of the Competition Authority was difficult to establish, but also functions and competences of the regulatory agency were changed a number of times, which hampered the effectiveness of the agency’s performance while enforcing the competition law. In addition to often changes of functions, also the scope of competences was changing. As a result, the variety of tasks attributed to the Lithuanian Competition Authority caused the growing overload of work, which further hindered its regulatory practice. The question is who can be blamed for that? Was it just the inexperience of the government who was seeking for the best institutional design and could not stop with redesigning the regulatory agency or was it the intentional behaviour guided by some concrete interests as a result of a regulatory capture? The analysis of the regulatory enforcement during the period of 15 years does not allow for disregarding of the second possibility.
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This project researches risk perceptions about data, technology, and digital transformation in society and how to build trust between organisations and users to ensure sustainable data ecologies. The aim is to understand the user role in a tech-driven environment and her perception of the resulting relationships with organisations that offer data-driven services/products. The discourse on digital transformation is productive but does not truly address the user’s attitudes and awareness (Kitchin 2014). Companies are not aware enough of the potential accidents and resulting loss of trust that undermine data ecologies and, consequently, forfeit their beneficial potential. Facebook’s Cambridge Analytica-situation, for instance, led to 42% of US adults deleting their accounts and the company losing billions. Social, political, and economic interactions are increasingly digitalised, which comes with hands-on benefits but also challenges privacy, individual well-being and a fair society. User awareness of organisational practices is of heightened importance, as vulnerabilities for users equal vulnerabilities for data ecologies. Without transparency and a new “social contract” for a digital society, problems are inevitable. Recurring scandals about data leaks and biased algorithms are just two examples that illustrate the urgency of this research. Properly informing users about an organisation’s data policies makes a crucial difference (Accenture 2018) and for them to develop sustainable business models, organisations need to understand what users expect and how to communicate with them. This research project tackles this issue head-on. First, a deeper understanding of users’ risk perception is needed to formulate concrete policy recommendations aiming to educate and build trust. Second, insights about users’ perceptions will inform guidelines. Through empirical research on framing in the data discourse, user types, and trends in organisational practice, the project develops concrete advice - for users and practitioners alike - on building sustainable relationships in a resilient digital society.
