Many organizations use business process management to manage and model their processes. Currently, flow-based process formalisms, such as BPMN, are considered the standard for modeling processes. However, recent literature describes several limitations of this type of formalism that can be solved by adopting a constraint-based formalism. To preserve economic investments in existing process models, transformation activities needed to be limited. This paper presents a methodical approach for performing the tedious parts of process model transformation. Executing the method results in correctly transformed process models and reduces the effort required for converting the process models.
This paper frames the process of designing a level in a game as a series of model transformations. The transformations correspond to the application of particular design principles, such as the use of locks and keys to transform a linear mission into a branching space. It shows that by using rewrite systems, these transformations can be formalized and automated. The resulting automated process is highly controllable: it is a perfect match for a mixed-initiative approach to level generation where human and computer collaborate in designing levels. An experimental prototype that implements these ideas is presented.
Businesses that can develop an appropriate response to the turbulence created by change and diversified customer expectations retain their sustainable competitive advantage. Especially with Covid19, Digital Transformation has emerged as an important element of pressure and necessity on the competitive advantage of businesses. Digital transformation refers to a radical change process from the way of doing business in the industry and the market to the nature of the interaction with internal and external customers. Digital transformation allows for meeting new expectations with new business processes and customer experiences with the opportunities offered by digital technologies. Although Digital transformation offers important competencies for businesses, it seems that SMEs, especially as important actors in the economy, lag behind large enterprises in the digital transformation process. This situation necessitates a detailed consideration of SMEs in the digital transformation process. This study aims to examine Digital Transformation in SMEs in detail. To achieve this, studies investigating digital transformation in SMEs and presenting empirical results were identified from various indexes (Ulakbim, Scopus, Web of Science, and Proquest). The studies were classified according to "author," "date of publication," "type of research," "sample," and "variables." The empirical evidence regarding the digital transformation process of SMEs is presented. The findings of the study are expected to contribute to the literature by presenting empirical studies on Digital Transformation in SMEs comprehensively. Additionally, it will increase awareness of the findings regarding the digital transformation process of SMEs, which are important actors in the economy.
MULTIFILE
The scientific publishing industry is rapidly transitioning towards information analytics. This shift is disproportionately benefiting large companies. These can afford to deploy digital technologies like knowledge graphs that can index their contents and create advanced search engines. Small and medium publishing enterprises, instead, often lack the resources to fully embrace such digital transformations. This divide is acutely felt in the arts, humanities and social sciences. Scholars from these disciplines are largely unable to benefit from modern scientific search engines, because their publishing ecosystem is made of many specialized businesses which cannot, individually, develop comparable services. We propose to start bridging this gap by democratizing access to knowledge graphs – the technology underpinning modern scientific search engines – for small and medium publishers in the arts, humanities and social sciences. Their contents, largely made of books, already contain rich, structured information – such as references and indexes – which can be automatically mined and interlinked. We plan to develop a framework for extracting structured information and create knowledge graphs from it. We will as much as possible consolidate existing proven technologies into a single codebase, instead of reinventing the wheel. Our consortium is a collaboration of researchers in scientific information mining, Odoma, an AI consulting company, and the publisher Brill, sharing its data and expertise. Brill will be able to immediately put to use the project results to improve its internal processes and services. Furthermore, our results will be published in open source with a commercial-friendly license, in order to foster the adoption and future development of the framework by other publishers. Ultimately, our proposal is an example of industry innovation where, instead of scaling-up, we scale wide by creating a common resource which many small players can then use and expand upon.
Various studies suggest that the fashion and textile industry need to move away from traditional, extractive leadership models. Dreier et al. (2019) show how traditional top-down, hierarchical leadership approaches are not effective in fostering sustainability, and argued that a more collaborative, participative approach is needed to implement true and long-standing change. Moreover, research also shows how fashion and textile designers don’t see themselves as leaders but instead as ‘creators’ who employ others to manage their business and lead the team. This change in leadership is also necessary to achieve the European vision for Industry 5.0 (2022), which places the wellbeing of the worker at the centre of the production process. If we want to find solutions to the problems we face today, we need to change the way we think, lead, and do business. This calls for regenerative leadership which involves not only minimising negative impacts, but also actively working to restore and enhance the social ecological systems in which an industry operates. And since technology has become ubiquitous in every aspect of our lives (including business), it is important to explore its role in helping us become better regenerative leaders. With ReLead, The Hague University of Applied Sciences (THUAS) aims to amplify consortium partner i-did’s social and environmental impact. Since its inception in 2009, i-did has helped more than 400 people become gainfully employed while helping recycle almost 60.000 kgs of textile waste. This has been possible due to the transformation of i-did’s founder (Mireille Geijsen) from a creative designer, into a collaborative and mindful leader. The intended outcome of this project is to create a tech-enabled leadership transformation toolkit and leadership academy that helps creative designers transform into regenerative leaders.
Breda University of Applied Sciences, Master Imagineering programme students and FHGR, University of Graubuenden, Chur, students from the Digital Business Management, Bachelor programme follow a joint module that has three specific virtual components of interaction: the Experience Design Course, he Ideation Block (Design Hackathon) and the Sustainability and Impact generation (Implementation phase). Further on the joint interaction consists of: joint online lectures and workshops (on a weekly basis); joint online assignments (on a bi-weekly basis) supported by meet-up’s and consultancy sessions and joint online collaborative creative sessions and presentations (regularly).The content that the International Virtual Collaboration encompasses is: The VUCA world we are currently living in (Volatile, Uncertain, Complex and Ambiguous). Tools to innovate and flourish within and beyond VUCA; Experience and Transformation design through business and social canvas modeling; Innovation games and Appreciative Inquiry and Social and business impact generation and assessment.The final joint output that the students (in groups) create (the project is running until mid-January 2023 and then analysis and data processing until March 2023) will be a design concept/model for a specific case/organization with strategic implementation plan and recommendation report.
