infonet-economy

In this article, we discuss how hospitality students can leverage new technology and new HRM metrics from a combination of a traditional format case study and innovative data spreadsheets. We offer a teaching case study that combines the strategic dimensions of HRM with practice-driven data analysis anchored in HR analytics and HR big data mining. We argue that this combination helps...

In this article, we present STarmac, a program developed by the Swiss Applied Science University of Canton Vaud (HEIG-VD), part of the University of Applied Science and Arts in Western Switzerland (HES-SO) to support young founders in the development innovative business ideas by providing them with the tools for management of market and technology risk. We present the STarmac program...

In recent years, Sina Weibo, a Twitter-like social network service in China, has attracted attention from scholars in the domain of information systems, as the spread and influence of users’ opinions are increasingly important, particularly in the tourism industry. This study examined the behaviors of Chinese tourists in Switzerland by adopting a semantic-based linked data...

Systematic evaluation has had a strong impact on many data analysis domains, for example, TREC and CLEF in information retrieval, ImageCLEF in image retrieval, and many challenges in conferences such as MICCAI for medical imaging and ICPR for pattern recognition. With Kaggle, a platform for machine learning challenges has also had a significant success in crowdsourcing solutions....

Text- and content-based retrieval are the most widely used approaches for medical image retrieval. They capture the similarity between the images from different perspectives: text-based methods rely on manual textual annotations or captions associated with images; content-based approaches are based on the visual content of the images themselves such as colours and textures. Text-...

As part of their daily workload, clinicians examine patient cases in the process of formulating a diagnosis. These large multimodal patient datasets stored in hospitals could help in retrieving relevant information for a differential diagnosis, but these are currently not fully exploited. The VISCERAL Retrieval Benchmark organized a medical case-based retrieval algorithm evaluation...

Abstract This paper will examine the productivity of the public sectors in the US across the states. Because there is heterogeneity across states in terms of public services provided that could impact its productivity. In fact, there could be a convergence among the states. The services provided by the public sectors have come under increased scrutiny with the ongoing process of...

Crowdsourcing is an online activity in which an individual, an institution, a non-profit organization, or company proposes to a group of individuals of varying knowledge, heterogeneity, and number, via a flexible open call, the voluntary undertaking of a task. Crowdsourcing has been traditionally considered suitable to provide different types of support to the decision making process...

In a service quality perspective, the animal behavior of humans (e.g. human ethology) in queues has, to our knowledge, never been observed. This paper provides an empirical exploratory enquiry with the scope to understand skiers’ behaviors in cable cars queues in order to improve their overall satisfaction. We carried 82 immersions and 43 semi-directed interviews in the Swiss Alps (...