Omnichannel Value Chain: Mapping Digital Technologies for Channel Integration Activities

In order to provide a seamless customer experience, researchers and practitioners have proposed creation of an omnichannel retailing environment by integrating online and offline channels. Channel integration necessitates use of digital technologies and there are myriads of technological solutions available. However, retailers are struggling with selection and implementation of suitable technologies to add value through channel integration. Despite the strong practical need, this issue has not been effectively addressed in the academic literature. This paper presents an omnichannel value chain underpinned by Porter’s value chain model. We identify ten channel integration activities for value creation by carrying out a synthesis of current research on omnichannel retailing. Enabling digital technologies are then mapped to these activities using technology implementation examples and provide a guideline for retailers to select appropriate technologies for the identified value creation activities

Integrated winter road maintenance management - New directions for cold regions research

The purpose of winter road maintenance is to reduce the negative effect of snow and ice on traffic. The current literature on winter maintenance practices is split into two segments: means of forecasting weather in order to plan proper winter maintenance, and optimization of maintenance operations. There is relatively little literature on the opportunities that real-time information, e.g., from maintenance vehicles, would offer for combining these two segments and taking the applied research and practice one step further. It seems, however, that the lack of operational solutions has so far limited empirical research in favour of analysing prospects that the ubiquitous technologies could offer for winter maintenance. Recent field tests show that the technical obstacles to obtaining real-time information from maintenance vehicles can be overcome. Thus it is possible to enhance the benefits of winter road maintenance operations considerably through new designs and architectures. Improving the efficiency of vehicle fleets by using real-time information is one of the first realizable steps. Based on the analysis of current winter road maintenance ecosystems in several countries, this paper suggests how to make effective use of the transparency that real-time information exchange between different actors can offer. Transparent real-time information enables re-engineering of the entire winter maintenance ecosystem and assists road authorities in setting more precise, and at the same time more diverse, objectives for winter maintenance. This also involves real-time monitoring of service providers' performance and realization of these objectives

Enhancing Completion Time Prediction Through Attribute Selection

Approaches have been proposed in process mining to predict the completion time of process instances. However, the accuracy levels of the prediction models depend on how useful the log attributes used to build such models are. A canonical subset of attributes can also offer a better understanding of the underlying process. We describe the application of two automatic attribute selection methods to build prediction models for completion time. The filter was used with ranking whereas the wrapper was used with hill-climbing and best-first techniques. Annotated transition systems were used as the prediction model. Compared to decision-making by human experts, only the automatic attribute selectors using wrappers performed better. The filter-based attribute selector presented the lowest performance on generalization capacity. The semantic reasonability of the selected attributes in each case was analyzed in a real-world incident management process