2019, Peter, Marco, de Roche, Murielle, Graf, Manuela, Gatziu Grivas, Stella

The goal of this paper is to demonstrate the need for a structured method to identify skills and competencies that are required for a holistic digital transformation for a certain company in its particular environment. A framework called Transformation Compass, which includes all relevant business areas of an enterprise and where technology is seen as an enabler, serves as a starting point for the ascertainment of needed skills and competencies. The model developed as part of this research, named SkiCo (skills and competencies), maps the re-quired skills and competencies based on the categories of the Transformation Compass. On top of that, SkiCo structures skills and competencies in three dif-ferent levels: cluster, category, and sub-category and provides information about their origin.

2018, Graf, Manuela, Peter, Marco, Gatziu Grivas, Stella, Abramowicz, Witold, Paschke, Adrian

The goal of this paper is to demonstrate the need for a structured framework and instrument to support SME in adjusting their organizational strategy to environmental changes in the digital age. Since SME in particular face many challenges transforming their business, a structured and easy to use approach that takes into account the challenges and opportunities of an SME such as limited resources or high flexibility offer a high potential for success. A framework-based method named Transformation Compass extends previous instruments in including all relevant business aspects of an enterprise such as marketing, processes, change management or innovation and allowing a “thinking outside the box” approach while the impacts of the digital age are seen as digital enabler. Combing the different aspects of an enterprise based on basic principles of business management, the instrument is divided into four main building blocks that are Customer Centricity, Business Models, Operational Excellence and Organizational Excellence. Hence, the Transformation Compass serves as a starting point for strategic discussion and possible reorientation of the company.

2019, Witschel, Hans Friedrich, Peter, Marco, Seiler, Laura, Parlar, Soyhan, Gatziu Grivas, Stella, Bernardino, Jorge, Salgado, Ana, Filipe, Joaquim

In this work, we develop a case model to structure cases of past digital transformations which act as input data for a recommender system. The purpose of that recommender is to act as an inspiration and support for new cases of digital transformation. To define the case model, case analyses, where 40 cases of past digital transformations are analysed and coded to determine relevant attributes and values, literature research and the particularities of the case for digital change, are used as a basis. The case model is evaluated by means of an experiment where two different scenarios are fed into a prototypical case-based recommender system and then matched, based on an entropically derived weighting system, with the case base that contains cases structured according to the case model. The results not only suggest that the case model’s functionality can be guaranteed, but that a good quality of the given recommendations is achieved by applying a case-based recommender system using the proposed case model. The results not only suggest that the case model’s functionality can be guaranteed, but that a good quality of the given recommendations is achieved by applying a case-based recommender system using the proposed case model.

2019, Peter, Marco, Gatziu Grivas, Stella, Horn, Daniel, Rüegg, Florian, Barba, Renato, Graf, Manuela, Baptista Nunes, Miguel, Isaás, Pedro, Powell, Philip, Ravesteijn, Pascal, Ongena, Guido

The digital transformation of businesses is crucial when initiating business model innovations and using technology as added value. The difficulty today for businesses is to keep track of emerging technology trends that are relevant and could significantly support their digitalization process. Especially for small and medium-sized enterprises, which often do not have the resources for a proper investigation of emerging technologies. This research paper presents the technology matrix, a new tool-based method of scouting technology trends, based on the relevant factors business impact, project size, and feasibility of the incorporation of the technologies. Existing technology scouting tools on the markets where analyzed on their strength and weaknesses and best practices were incorporated into the developed technology matrix. Furthermore, expert interviews have led to important inputs when designing the technology matrix.