Interaction design guidelines on critiquing-based recommender systems

A critiquing-based recommender system acts like an artificial salesperson. It engages users in a conversational dialog where users can provide feedback in the form of critiques to the sample items that were shown to them. The feedback, in turn, enables the system to refine its understanding of the user's preferences and prediction of what the user truly wants. The system is then able to recommend products that may better stimulate the user's interest in the next interaction cycle. In this paper, we report our extensive investigation of comparing various approaches in devising critiquing opportunities designed in these recommender systems. More specifically, we have investigated two major design elements which are necessary for a critiquing-based recommender system: critiquing coverage—one vs. multiple items that are returned during each recommendation cycle to be critiqued; and critiquing aid—system-suggested critiques (i.e., a set of critique suggestions for users to select) vs. user-initiated critiquing facility (i.e., facilitating users to create critiques on their own). Through a series of three user trials, we have measured how real-users reacted to systems with varied setups of the two elements. In particular, it was found that giving users the choice of critiquing one of multiple items (as opposed to just one) has significantly positive impacts on increasing users' decision accuracy (particularly in the first recommendation cycle) and saving their objective effort (in the later critiquing cycles). As for critiquing aids, the hybrid design with both system-suggested critiques and user-initiated critiquing support exhibits the best performance in inspiring users' decision confidence and increasing their intention to return, in comparison with the uncombined exclusive approaches. Therefore, the results from our studies shed light on the design guidelines for determining the sweetspot balancing user initiative and system support in the development of an effective and user-centric critiquing-based recommender syste

Business model responses to digital piracy

Digital piracy challenges firms by reducing revenues and shifting consumption habits. Recently, some firms have successfully leveraged business models against piracy, but the understanding about this phenomenon still lacks depth and structure. This study examines the characteristics of digital piracy in some of the most affected industries, presents comparative case studies of two iconic firms, Spotify and Netflix, and analyzes their digital business model responses. We generalize their adoption to generic digital content distributors and explain how they contribute to generate and capture value. Theoretical and practical implications for technological innovation, firm diversification, and network competition are also discussed

The Mechanics of Enterprise Architecture Principles

Inspired by the city planning metaphor, enterprise architecture (EA) has gained considerable attention from academia and industry for systematically planning an IT landscape. Since EA is a relatively young discipline, a great deal of its work focuses on architecture representations (descriptive EA) that conceptualize the different architecture layers, their components, and relationships. Beside architecture representations, EA should comprise principles that guide architecture design and evolution toward predefined value and outcomes (prescriptive EA). However, research on EA principles is still very limited. Notwithstanding the increasing consensus regarding EA principles’ role and definition, the limited publications neither discuss what can be considered suitable principles, nor explain how they can be turned into effective means to achieve expected EA outcomes. This study seeks to strengthen EA’s extant theoretical core by investigating EA principles through a mixed methods research design comprising a literature review, an expert study, and three case studies. The first contribution of this study is that it sheds light on the ambiguous interpretation of EA principles in extant research by ontologically distinguishing between principles and nonprinciples, as well as deriving a set of suitable EA (meta-)principles. The second contribution connects the nascent academic discourse on EA principles to studies on EA value and outcomes. This study conceptualizes the “mechanics” of EA principles as a value-creation process, where EA principles shape the architecture design and guide its evolution and thereby realize EA outcomes. Consequently, this study brings EA’s underserved, prescriptive aspect to the fore and helps enrich its theoretical foundations

Product information management for complex modular security systems

Um sistema PIM gere toda a informação que possibilita a comercialização dos produtos através de diferentes canais. A sua importância durante o ciclo de vida de um produto aumentou devido à sofisticação técnica dos produtos, a gerir internamente e a publicar externamente. Sistemas, tais como o ERP e o CCMS, deverão integrar-se com um sistema PIM, o qual deve funcionar como a “espinha dorsal” da informação de produto. O presente projeto tem como objetivo principal a criação de uma solução para gerir a informação de produto para sistemas modulares complexos. A proposta de solução inclui a criação de uma ontologia para parte dos inúmeros sistemas disponíveis no catálogo de produtos de uma das maiores organizações multinacionais do setor de engenharia e tecnologia a nível mundial. O processo de criação da solução proposta baseou-se na metodologia de investigação pesquisa-ação e foi dividido em cinco fases. Na fase de diagnóstico descreveu-se e analisou-se a atual situação dos sistemas ERP e CCMS que gerem o catálogo online dos sistemas de produtos comercializados. Levantaram-se ainda as taxonomias de produto atuais e elaborou-se a proposta. Na fase de planeamento da ação descreveram-se a equipa de trabalho, a abordagem inspirada na metodologia Agile usada para desenvolver a solução, as reuniões de planeamento, os parceiros de trabalho, as ferramentas a usar e a sua justificação. Na fase de tomada de ação foi descrito o processo de criação da solução ontológica e o resultado final, incluindo a construção das novas taxonomias e a sua validação pelos especialistas. Propuseram-se exemplos e representações gráficas usando a ferramenta Protégé. Na fase de avaliação, a solução ontológica foi testada, tendo-se validado que os requisitos necessários foram satisfeitos pela estrutura. Na fase de especificação de aprendizagem propuseram-se os próximos passos para a implementação e gestão futura do modelo ontológico. Com esta solução, a organização poderá gerir mais eficientemente a informação de produto e a estrutura de dados. Ela possui versatilidade para gerir produtos individuais ou sistemas modulares complexos e melhorar a sua comunicação com o cliente. Além disso, a ontologia tem ainda um enorme potencial se combinada com técnicas de IA. Algumas limitações do projeto e propostas de trabalhos futuros foram ainda apresentadas

ACUTA Journal of Telecommunications in Higher Education

In This Issue Abundance of Services at lU Customer Relations and Technology: Practical Solutions from Two Campuses FSU Converges Support to Follow Technology Service Catalogs and the Value of Just 12 Minutes Essential Telephone Skills Email Services: Beginning of the End? lnstitutional Excellence Award Interview President\u27s Message From the Executive Directo

ACUTA Journal of Telecommunications in Higher Education

In This Issue Abundance of Services at lU Customer Relations and Technology: Practical Solutions from Two Campuses FSU Converges Support to Follow Technology Service Catalogs and the Value of Just 12 Minutes Essential Telephone Skills Email Services: Beginning of the End? lnstitutional Excellence Award Interview President\u27s Message From the Executive Directo

Home is Where the Work is Women, Direct Sales, and Technologies of Gender

abstract: This dissertation examines how direct selling organizations compel women to believe that direct selling is, among other things, centered on the needs of women. Drawing upon feminist interdisciplinary methodologies, this dissertation brings together qualitative, archival, and ethnographic materials to analyze direct selling through a technologies of gender framework. I argue that multi-level marketing direct selling companies (like Avon, Tupperware, Mary Kay, etc.) are able to turn belief into profits because they strategically tap into gender ideologies. I show that discursive technologies of gender coalesce with race and class discourses and are put to work by direct selling companies to construct a specific type of direct seller. This dissertation attempts to unpack the complex technologies of gender that direct selling women engage with while constructing their identities as workers and women. I argue that the companies in this study deliberately tap into women's anxieties and desires to blend their perceived gender roles with their need for income. I find that direct selling companies are exceptional at branding their businesses as uniquely suited for women and that this branding hinges upon the construction of a direct sales imaginary. I argue that the direct sales imaginary taps into powerful discourses of race, class, and gender to market the American dream to women who are seeking out a space that is empowering and inclusive. Because the direct selling industry tends to see an increase in profits and recruitment during economic recessions, it is likely that the current economic situation has channeled even more women toward direct sales as a fallback for uncertain economic futures. While some women may be inclined to view direct sales as an attractive employment alternative it is not a realistic means of supporting families during difficult economic times and this study might help some women make more informed decisions. Furthermore, this study brings to light how gender might be used to organize structural relationships between markets, people, and businesses.Dissertation/ThesisPh.D. Gender Studies 201

CHORUS Deliverable 2.2: Second report - identification of multi-disciplinary key issues for gap analysis toward EU multimedia search engines roadmap

After addressing the state-of-the-art during the first year of Chorus and establishing the existing landscape in multimedia search engines, we have identified and analyzed gaps within European research effort during our second year. In this period we focused on three directions, notably technological issues, user-centred issues and use-cases and socio- economic and legal aspects. These were assessed by two central studies: firstly, a concerted vision of functional breakdown of generic multimedia search engine, and secondly, a representative use-cases descriptions with the related discussion on requirement for technological challenges. Both studies have been carried out in cooperation and consultation with the community at large through EC concertation meetings (multimedia search engines cluster), several meetings with our Think-Tank, presentations in international conferences, and surveys addressed to EU projects coordinators as well as National initiatives coordinators. Based on the obtained feedback we identified two types of gaps, namely core technological gaps that involve research challenges, and “enablers”, which are not necessarily technical research challenges, but have impact on innovation progress. New socio-economic trends are presented as well as emerging legal challenges

Term-driven E-Commerce

Die Arbeit nimmt sich der textuellen Dimension des E-Commerce an. Grundlegende Hypothese ist die textuelle Gebundenheit von Information und Transaktion im Bereich des elektronischen Handels. Überall dort, wo Produkte und Dienstleistungen angeboten, nachgefragt, wahrgenommen und bewertet werden, kommen natürlichsprachige Ausdrücke zum Einsatz. Daraus resultiert ist zum einen, wie bedeutsam es ist, die Varianz textueller Beschreibungen im E-Commerce zu erfassen, zum anderen können die umfangreichen textuellen Ressourcen, die bei E-Commerce-Interaktionen anfallen, im Hinblick auf ein besseres Verständnis natürlicher Sprache herangezogen werden