New forms of solutions with a declined share of mechanics or hardware and instead an increased share of software and (software-enabled) services on the overall customer value proposition, so called cyber-physical systems (CPS), have been emerging for some time now. Current research highlights the underlying technical challenges but lacks a well-founded conceptualization for CPS that reflects its character as a software-enabled hybrid solution, consisting of software as well as of service and tangible product parts. The latter may facilitate research on CPS from a business-oriented and a customer value creation perspective rather than solely from a technical perspective. For this purpose, the present contribution proposes the conceptualization of the industrial software-product-service system. It is based upon empirical findings as well as theoretical considerations on the concept of industrial product-service systems and substantiated by suggested future research directions, derived with the help of the proposed conceptualization.

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Abstract. Along with the connected car, previously isolated business models of traditional goods-producing industry melt together with those of software businesses. It is becoming apparent that software businesses may have to play an important role, provided that they are capable of building up competencies in engineering business models for this emerging and converged market. We identify and cluster business model patterns that we rate as being capable of transforming product innovations, enabled by abilities and characteristics of cyber-physical systems and the underlying technical platforms, into business model innovations. We discuss further the pattern cluster Data Orchestrator.

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Abstract. Start-ups in the software-intensive field of e-business are key for modern economies. However, those so-called e-ventures tend to face certain problems in terms of financing: Many promising e-ventures seem to fail due to missing seed capital or too few investors. The reasons for this might partially be explained by goal conflicts, different expectations-especially concerning growth of enterprise value and opportunities-, differences in valuation of risks, planning, time horizon and other trade-offs between potential investors and the company's founders. For this reason we examined academic literature to collect data as a basis for two analogously conducted Delphi studies: one for investors and one for e-ventures. Out of 48 most widely researched success factors concerning investors (of technology start-ups) and 24 concerning e-ventures we could derive implications to eight different subtopics for the above-mentioned trade-offs. Our article concludes by naming its major limitations as well as future research directions for the purpose of advancing research in this field.

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