Abstracts and Abstracting in Knowledge Discovery

published or submitted for publicatio

Analysis reuse exploiting taxonomical information and belief assignment in industrial problem solving

To take into account the experience feedback on solving complex problems in business is deemed as a way to improve the quality of products and processes. Only a few academic works, however, are concerned with the representation and the instrumentation of experience feedback systems. We propose, in this paper, a model of experiences and mechanisms to use these experiences. More specifically, we wish to encourage the reuse of already performed expert analysis to propose a priori analysis in the solving of a new problem. The proposal is based on a representation in the context of the experience of using a conceptual marker and an explicit representation of the analysis incorporating expert opinions and the fusion of these opinions. The experience feedback models and inference mechanisms are integrated in a commercial support tool for problem solving methodologies. The results obtained to this point have already led to the definition of the role of ‘‘Rex Manager’’ with principles of sustainable management for continuous improvement of industrial processes in companies

Q&A Platforms Evaluated Using Butler University Q&A Intelligence Index

A new study using the Butler University Q&A Intelligence Index measures how various mobile Q&A platforms deliver quality, accurate answers in a timely manner to a broad variety of questions. Based on the results of our analysis, ChaCha led all Q&A platforms on mobile devices. Results of the study are based upon review of a large set of responses from each of the major Q&A platforms, coupled with a comparison of disparate Q&A platforms that serve answers in different ways. Our methodology included the creation of a new metric, termed the Butler University Q&A Intelligence Index, which measures the likelihood that a user can expect to receive a correct answer in a timely manner to any random question asked using natural language. We asked questions via mobile services and randomized the questions to cover both popular and long-tail knowledge requests

Controller workload, airspace capacity and future systems.

In air traffic control (ATC), controller workload – or controller mental workload – is an extremely important topic. There have been many research studies, reports and reviews on workload (as it will be referred to here). Indeed, the joke is that researchers will produce ‘reviews of reviews’ (Stein, 1998). The present document necessarily has something of that flavour, and does review many of the ‘breakthrough’ research results, but there is a concentration on some specific questions about workload

Fundamental concepts in management research and ensuring research quality : focusing on case study method

This paper discusses fundamental concepts in management research and ensuring research quality. It was presented at the European Academy of Management annual conference in 2008

IMPULSE moment-by-moment test:An implicit measure of affective responses to audiovisual televised or digital advertisements

IMPULSE is a novel method for detecting affective responses to dynamic audiovisual content. It is an implicit reaction time test that is carried out while an audiovisual clip (e.g., a television commercial) plays in the background and measures feelings that are congruent or incongruent with the content of the clip. The results of three experiments illustrate the following four advantages of IMPULSE over self-reported and biometric methods: (1) being less susceptible to typical confounds associated with explicit measures, (2) being easier to measure deep-seated and often nonconscious emotions, (3) being better able to detect a broad range of emotions and feelings, and (4) being more efficient to implement as an online method.Published versio

The Proficiency of Experts

Expert evidence plays a crucial role in civil and criminal litigation. Changes in the rules concerning expert admissibility, following the Supreme Court\u27s Daubert ruling, strengthened judicial review of the reliability and the validity of an expert\u27s methods. Judges and scholars, however, have neglected the threshold question for expert evidence: whether a person should be qualified as an expert in the first place. Judges traditionally focus on credentials or experience when qualifying experts without regard to whether those criteria are good proxies for true expertise. We argue that credentials and experience are often poor proxies for proficiency. Qualification of an expert presumes that the witness can perform in a particular domain with a proficiency that non-experts cannot achieve, yet many experts cannot provide empirical evidence that they do in fact perform at high levels of proficiency. To demonstrate the importance ofproficiency data, we collect and analyze two decades of proficiency testing of latent fingerprint examiners. In this important domain, we found surprisingly high rates of false positive identifications for the period 1995 to 2016. These data would qualify the claims of many fingerprint examiners regarding their near infallibility, but unfortunately, judges do not seek out such information. We survey the federal and state case law and show how judges typically accept expert credentials as a proxy for proficiency in lieu of direct proof of proficiency. Indeed, judges often reject parties\u27 attempts to obtain and introduce at trial empirical data on an expert\u27s actual proficiency. We argue that any expert who purports to give falsifiable opinions can be subjected to proficiency testing and that proficiency testing is the only objective means of assessing the accuracy and reliability ofexperts who rely on subjective judgments to formulate their opinions (so-called black-box experts ). Judges should use proficiency data to make expert qualification decisions when the data is available, should demand proof of proficiency before qualifying black-box experts, and should admit at trial proficiency data for any qualified expert. We seek to revitalize the standard for qualifying experts: expertise should equal proficiency

Consumption authenticity in the age of the sharing economy: the keys to creating loyal customers who love your brand

Airbnb has gained popularity as an alternative to hotels, with the authenticity of the consumption experience being a critical differentiating factor. However, the hospitality and tourism literature has not fully explored how Airbnb and traditional hotel brands are facilitating authentic travel experiences and the impact of these experiences on brand love and brand loyalty. In this study, we explore three elements of consumption authenticity and examine their how they interact in the context of an accommodation brand. Second, we compare the components of consumption authenticity across hotels and Airbnb, and examine their relative impact on brand love for these two segments of the accommodations industry. We found that hotels and Airbnb draw upon different sources of authenticity to create brand-loving customers. Our results indicated that Airbnb leverages brand, existential, and intrapersonal authenticity in creating brand-loving and brand-loyal customers, while hotels utilize only brand authenticity. Thus, the keys to creating customers who love and are loyal to the brand differ between hotels and Airbnb. Implications for theory and practice are discussed, and areas of future research are identified.Accepted manuscrip

Consumption authenticity in the age of the sharing economy: The key to creating loyal customers who love your brand

Airbnb continues to gain popularity as an accommodation alternative to hotels, with the authenticity of the consumption experience being a critical differentiating factor. However, the hospitality literature has not fully explored whether and how brands in the sharing economy as well as traditional hotel brands are facilitating authentictravel experiences and the impact of these experiences on brand love and brand loyalty. The purpose of this study is twofold. First, we develop a model of consumption authenticity in the accommodations industry and identify, operationalize, and measure its components. Second, we examine the impact of consumption authenticity on brand love and brand loyalty in both hotels and Airbnb accommodations. By surveying 1,256 American participants recruited from Amazon Mechanical Turk, we found that Airbnb leverages brand, existential, and intra-personal consumption authenticity in creating brand-loving and brand-loyal customers, while hotels utilize only brand authenticity. Implications for theory and practice are discussed, and areas of future research are identified