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:// 17. Fauscette, Michael. (2014). Business Networks: The Next Wave of Innovation. 18. Frohlich, M. T., & Westbrook, R. (2001). Arcs of integration: an international study of supply chain strategies. Journal of Operations Management, 19(2), 185-200. 19. Gao, Ruize, Zhang, Zhenji, Tian, Zhihong, Guan, Xiaolan, & Li, Ang. (2013). Modelling the Emergence and Evolution of e-Business Ecosystems from a Network Perspective. Studies in Informatics

Sebastian Engel 10 Driven by the Same Spirit – Entrepreneurship, Incubation and Open Labs in the Business Ecosystem of Central Franconia 1 Introduction Good ideas can come up anywhere – not just at work, but also at home, on the com- mute, while shopping or on vacation. If all of these ideas would have to find their way into the development department of a company in order to be commercialized, then great potential for innovation is lost. Therefore, spaces must be created where new ideas can mature into business solutions even outside existing economic struc

-of-service. Enabling the robot to exploit software variation points at run-time requires to move from code-driven and document-driven approaches towards a model-driven ap- proach (formalized and thus processable by the robot it- self at run-time). A model-driven approach is also a way to reduce the complexity exposed to the designer (via tool support for automated consistency checks, constraint ful- fillment etc.). At the same time, a model-driven approach lays the foundation for a software business ecosystem in 86 | C. Schlegel et al., Model-driven software systems engineering in

References [1] K. Rong, G. Hu, Y. Lin, Y. Shi and L. Liang, “Understanding business ecosystem using a 6C framework in internet-of-Things-based sectors“, International Journal of Production Economics, vol. 159, pp. 41-55, Jan. 2015. [2] I. Perko and P. Ototsky, “Big data for Business Ecosystem Players”, Our Economy, vol. 62, no. 2, pp. 12-24, 2016. [3] S. Dawes and T. Pardo, “Maximizing knowledge for program evaluation: critical issues and practical challenges of ICT strategies”, in Proc. of The 5th International Conference on Electronic Government (EGOV), Kraków

if revenues have diversified, and if a diversification of revenues contributes to increased sustainability. A conceptual framework of viable, sustainable and resilient models is presented to help navigate the emerging confusion around hyperlocal business. In fact, little is known about the economic experiences of hyperlocals, and research evidence on how and why revenue diversification develops remains nascent. Revenue mapping alone would stop short of answering this question. We add to the field by applying business ecosystems specifically to problematise the

complexity dynamics. It took ~130 million years for dinosaurs to evolve from their beginning to when they were exterminated. It took only a few years beyond 2007 for Apple’s iPhone to change the world’s communication and information transfer. In moving from biology to digital business, the most dominant difference for companies is the much higher speed at which complexity dynamics, emergence, self-organization, and the creation of new order occur. In a coevolving business ecosystem, firms that don’t recognize digital-business effects and adapt to the high speed of

, February 20). Model of circular business ecosystem for textiles. Retrived at Forbes. (2016, December 9). 4 ways to donate to a charity without writing a check. Retrieved from Fortuna, L.M, Diyamandoglu, V. (2017). Optimization of greenhouse gas emissions in second-hand consumer product recovery through reuse platforms. Waste Management , 66 , 178-189. Goldbach, M., Seuring, S., Back, S. (2003


This paper presents an analysis of the current state of the use of digital technologies by the categorized hotel accommodation providers in the Municipality of Bar. The concept of SMART tourism and the use of digital technologies in tourism implies networking of tourist content throughout the country towards getting “smart experience” from local community and creating “smart business ecosystem”. Hotels at the locations need to take advantage of new technologies and include various business, sociocultural, psychological and educational components. Following was analysed: the quality of the internet presence, the level of networking with the local tourist businesses, the use of logistic innovations in tourism and the intensity of the use of social networks. The goal was to identify the level of current digital recognition and the degree of use of information technologies to point out the unused potential for the development of entrepreneurship in the hotel industry.

Sustaining Competitiveness in the Face of Disruption