TY - CONF AB - Understanding a new literature corpus can be a grueling experience for junior scholars. Nevertheless, corresponding guidelines have not been updated for decades. We contend that the traditional strategy of skimming all papers and reading selected papers afterwards needs to be revised. Therefore, we design a new strategy that guides the overall exploratory process by prioritizing influential papers for initial reading, followed by skimming the remaining papers. Consistent with schemata theory, starting with in-depth reading allows readers to acquire more substantial prior content schemata, which are representa-tive for the literature corpus and useful in the following skimming process. To this end, we develop a prototype that identifies the influential papers from a set of PDFs, which is illustrated in a case study in the IT business value domain. With the new strategy, we envision a more efficient process of exploring unknown literature corpora. AU - Wagner, Gerit AU - Empl, Philipp AU - Schryen, Guido ID - 17055 KW - Reading and skimming KW - Exploring literature KW - Review methodology KW - Design science research KW - Schemata theory T2 - 28th European Conference on Information Systems (ECIS 2020) TI - Designing a Novel Strategy for Exploring Literature Corpora ER - TY - CONF AB - To decide in which part of town to open stores, high street retailers consult statistical data on customers and cities, but they cannot analyze their customers’ shopping behavior and geospatial features of a city due to missing data. While previous research has proposed recommendation systems and decision aids that address this type of decision problem – including factory location and assortment planning – there currently is no design knowledge available to prescribe the design of city center area recommendation systems (CCARS). We set out to design a software prototype considering local customers’ shopping interests and geospatial data on their shopping trips for retail site selection. With real data on 500 customers and 1,100 shopping trips, we demonstrate and evaluate our IT artifact. Our results illustrate how retailers and public town center managers can use CCARS for spatial location selection, growing retailers’ profits and a city center’s attractiveness for its citizens. AU - zur Heiden, Philipp AU - Berendes, Carsten Ingo AU - Beverungen, Daniel ID - 16285 KW - Town Center Management KW - High Street Retail KW - Recommender Systems KW - Geospatial Recommendations KW - Design Science Research T2 - Proceedings of the 15th International Conference on Wirtschaftsinformatik TI - Designing City Center Area Recommendation Systems ER - TY - CONF AU - Gregor, Shirley AU - Müller, Oliver AU - Seidel, Stefan ID - 4698 KW - Abstraction KW - Affordances KW - Design Science Research KW - Design Theory KW - Information Systems Development KW - Reflection KW - Theorizing T2 - European Conference on Information Systems TI - Reflection, abstraction and theorizing in design and development research ER -