@misc{ReseKutschkeBaier, author = {Rese, Alexandra and Kutschke, Anke and Baier, Daniel}, title = {Analyzing the relative influence of supply side, demand side and regulatory factors on the success of collaborative energy innovation projects}, series = {International Journal of Innovation Management}, volume = {20}, journal = {International Journal of Innovation Management}, number = {2}, issn = {1363-9196}, doi = {10.1142/S1363919616500298}, pages = {1650029}, abstract = {The analysis of the importance of supply side and demand side factors with regard to innovative behavior is quite old. In this paper, these two categories are used to distinguish and examine the relevance of several success factors for collaborative innovation projects on the firm level in the German energy sector. The literature emphasizes that solving environmental problems requires extensive technological change. On the other hand, due to higher prices the market push is weaker. Regulatory factors are therefore designed to stimulate environmental innovations. The relative influence of these three categories on project performance is investigated on the basis of a sample of 128 German collaborative energy innovation projects in the development phase using a scale-based approach and structural equation modeling at the firm level. The results confirm the importance of supply side factors followed by demand side factors. In contrast to literary assumptions, R\&D subsidies played no significant role.}, language = {en} } @incollection{BoettcherNaundorfBaier, author = {B{\"o}ttcher, Thomas and Naundorf, Robert and Baier, Daniel}, title = {A Statistical Software Package for Image Data Analysis in Marketing}, series = {Data Science, Learning by Latent Structures, and Knowledge Discovery}, booktitle = {Data Science, Learning by Latent Structures, and Knowledge Discovery}, editor = {Lausen, Berthold and Krolak-Schwerdt, Sabine and B{\"o}hmer, Matthias}, publisher = {Springer}, address = {Berlin, Heidelberg}, isbn = {978-3-662-44982-0}, doi = {10.1007/978-3-662-44983-7}, pages = {217 -- 227}, language = {en} } @inproceedings{BaierPełkaRybickaetal., author = {Baier, Daniel and Pełka, Marcin and Rybicka, Aneta and Schreiber, Stefanie}, title = {Ratings-/Rankings-Based Versus Choice-Based Conjoint Analysis for Predicting Choices}, series = {Data Science, Learning by Latent Structures, and Knowledge Discovery}, booktitle = {Data Science, Learning by Latent Structures, and Knowledge Discovery}, editor = {Lausen, Berthold and Krolak-Schwerdt, Sabine and B{\"o}hmer, Matthias}, publisher = {Springer}, address = {Heidelberg [u.a.]}, isbn = {978-3-662-44983-7}, doi = {10.1007/978-3-662-44983-7_18}, pages = {205 -- 216}, language = {en} } @inproceedings{EimeckeBaumertBaier, author = {Eimecke, J{\"o}rgen and Baumert, Katrin and Baier, Daniel}, title = {Applying the Repertory Grid Method for Technology Forecasting - Civil Unmanned Aviation Systems for Germany}, series = {Proceedings, 19th QMOD-ICQSS Conference International Conference on Quality and Service Sciences}, booktitle = {Proceedings, 19th QMOD-ICQSS Conference International Conference on Quality and Service Sciences}, editor = {Dahlgaard-Park, Su Mi and Dahlgaard, Jens J{\"o}rn}, publisher = {University Library Press}, address = {Lund}, isbn = {978-91-7623-086-2}, pages = {801 -- 813}, language = {en} } @incollection{EimeckeBaumertBaier, author = {Eimecke, J{\"o}rgen and Baumert, Katrin and Baier, Daniel}, title = {Die Repertory-Grid-Technik als Methodik zur Technikvorausschau - Wie Elemente und Konstrukte erfasst und genutzt werden k{\"o}nnen}, series = {Technologie-Roadmapping - Zukunftsstrategien f{\"u}r Technologieunternehmen}, booktitle = {Technologie-Roadmapping - Zukunftsstrategien f{\"u}r Technologieunternehmen}, editor = {M{\"o}hrle, Martin G. and Isenmann, Ralf}, edition = {4. Aufl.}, publisher = {Springer Vieweg}, address = {Berlin}, isbn = {978-3-662-52708-5}, pages = {215 -- 230}, language = {de} } @misc{EimeckeBaumertBaier, author = {Eimecke, J{\"o}rgen and Baumert, Katrin and Baier, Daniel}, title = {Applying the Repertory Grid Method for Technology Forecasting - Civil Unmanned Aviation Systems for Germany}, series = {Management and Production Engineering Review}, volume = {8}, journal = {Management and Production Engineering Review}, number = {3}, issn = {2082-1344}, pages = {22 -- 30}, language = {en} } @misc{BaierVoekler, author = {Baier, Daniel and V{\"o}kler, Sascha}, title = {One-stage product-line design heuristics: an empirical comparison}, series = {OR Spectrum}, volume = {46}, journal = {OR Spectrum}, number = {1}, publisher = {Springer Berlin Heidelberg}, issn = {0171-6468}, doi = {10.1007/s00291-023-00716-0}, pages = {73 -- 107}, abstract = {Selecting or adjusting attribute-levels (e.g. components, equipments, flavors, ingredients, prices, tastes) for multiple new and/or status quo products is an important task for a focal firm in a dynamic market. Usually, the goal is to maximize expected overall buyers' welfare based on consumers' partworths or expected revenue, market share, and profit under given assumptions. However, in general, these so-called product-line design problems cannot be solved exactly in acceptable computing time. Therefore, heuristics have been proposed: Two-stage heuristics select promising candidates for single products and evaluate sets of them as product-lines. One-stage heuristics directly search for multiple attribute-level combinations. In this paper, Ant Colony Optimization, Genetic Algorithms, Particle Swarm Optimization, Simulated Annealing and, firstly, Cluster-based Genetic Algorithm and Max-Min Ant Systems are applied to 78 small- to large-size product-line design problem instances. In contrast to former comparisons, data is generated according to a large sample of commercial conjoint analysis applications ( n = 2,089). The results are promising: The firstly applied heuristics outperform the established ones.}, language = {en} }