Digital Group

@article{grossetti_1663,

title = {Reducing the filter bubble effect on Twitter by considering communities for recommendations},

author = {Quentin Grossetti and Cédric Du Mouza and Nicolas Travers and Camélia Constantin},

url = {https://www.emerald.com/insight/content/doi/10.1108/IJWIS-06-2021-0065/full/html},

year  = {2021},

date = {2021-10-01},

journal = {International Journal of Web Information Systems},

abstract = {Purpose



Social network platforms are considered today as a major communication mean. Their success leads to an unprecedented growth of user-generated content; therefore, finding interesting content for a given user has become a major issue. Recommender systems allow these platforms to personalize individual experience and increase user engagement by filtering messages according to user interest and/or neighborhood. Recent research results show, however, that this content personalization might increase the echo chamber effect and create filter bubbles that restrain the diversity of opinions regarding the recommended content.

Design/methodology/approach



The purpose of this paper is to present a thorough study of communities on a large Twitter data set that quantifies the effect of recommender systems on users' behavior by creating filter bubbles. The authors further propose their community-aware model (CAM) that counters the impact of different recommender systems on information consumption.

Findings



The authors propose their CAM that counters the impact of different recommender systems on information consumption. The study results show that filter bubbles effects concern up to 10% of users and the proposed model based on the similarities between communities enhance recommendations.

Originality/value



The authors proposed the CAM approach, which relies on similarities between communities to re-rank lists of recommendations to weaken the filter bubble effect for these users.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{mili_1606,

title = {Model-Driven Architecture Based Security Analysis},

author = {Saoussen Mili and Nga Nguyen and Rachid Chelouah},

url = {https://onlinelibrary.wiley.com/doi/10.1002/sys.21581},

year  = {2021},

date = {2021-09-01},

journal = {Systems Engineering},

volume = {24},

number = {5},

pages = {307-321},

abstract = {This paper proposes a Model-Driven Architecture approach for the development of an embedded system validation platform namely Model-Based Security Analysis for Embedded Systems (MBSAES). The security properties are formally modeled and verified at an early stage of the design process of the system, which helps to reduce late errors and development time. A separation of the attack scenarios and the system design from the implementation details has been respected. To transform semi-formal models from SysML to NuSVM model checking platform, two Model-to-Text, horizontal and exogenous transformations have been implemented. The first one employs a programming approach with Java to create a Computational Tree Logic specification from an Extended Attack Tree, whereas the second one uses a template approach with Acceleo to generate NuSMV code from SysML structural and behavioral models. To illustrate our approach, a case study, involving attacks aiming to unlock car door systems, via signal jamming and code replaying, is considered. The results of this research will contribute to the automatic validation of system designs against security vulnerabilities via a database of extended attack trees building from existing atomic attacks.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{alizadeh_1653,

title = {Deterministic policies based on maximum regrets in MDPs with imprecise rewards},

author = {Pegah Alizadeh and Emiliano Traversi and Aomar Osmani},

url = {https://content.iospress.com/articles/ai-communications/aic190632},

year  = {2021},

date = {2021-09-01},

journal = {Ai Communications},

volume = {Pre-press},

number = {Pre-press},

pages = {1-16},

abstract = {Markov Decision Process Models (MDPs) are a powerful tool for planning tasks and sequential decision-making issues. In this work we deal with MDPs with imprecise rewards, often used when dealing with situations where the data is uncertain. In this context, we provide algorithms for finding the policy that minimizes the maximum regret. To the best of our knowledge, all the regret-based methods proposed in the literature focus on providing an optimal stochastic policy. We introduce for the first time a method to calculate an optimal deterministic policy using optimization approaches. Deterministic policies are easily interpretable for users because for a given state they provide a unique choice. To better motivate the use of an exact procedure for finding a deterministic policy, we show some (theoretical and experimental) cases where the intuitive idea of using a deterministic policy obtained after ?determinizing? the optimal stochastic policy leads to a policy far from the exact deterministic policy.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{yogesh_k._1427,

title = {Setting the future of digital and social media marketing research: Perspectives and research propositions},

author = {Dwivedi Yogesh K. and Ismagilova Elvira and Hughes D. Laurie and Jamie Carlson and Raffaele Filieri and Jenna Jacobson and Jain Varsha and Karjaluoto Heikki and Hajer Kefi and Krishen Anjala S. and Kumar Vikram and Mohammad M. Rahman and Raman Ramakrishnan and Philipp A. Rauschnabel and Jennifer Rowley and Salo Jari and Gina A. Tran and Wang Yichuan},

url = {https://www.sciencedirect.com/science/article/pii/S0268401220308082},

year  = {2021},

date = {2021-08-01},

journal = {International Journal Of Information Management},

volume = {59},

pages = {102168},

abstract = {The use of the internet and social media have changed consumer behavior and the ways in which companies conduct their business. Social and digital marketing offers significant opportunities to organizations through lower costs, improved brand awareness and increased sales. However, significant challenges exist from negative electronic word-of-mouth as well as intrusive and irritating online brand presence. This article brings together the collective insight from several leading experts on issues relating to digital and social media marketing. The experts' perspectives offer a detailed narrative on key aspects of this important topic as well as perspectives on more specific issues including artificial intelligence, augmented reality marketing, digital content management, mobile marketing and advertising, B2B marketing, electronic word of mouth and ethical issues therein. This research offers a significant and timely contribution to both researchers and practitioners in the form of challenges and opportunities where we highlight the limitations within the current research, outline the research gaps and develop the questions and propositions that can help advance knowledge within the domain of digital and social marketing.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pelet_1561,

title = {The internet of things in upscalehotels: its impact on guests'sensory experiences and behavior},

author = {Jean-Éric Pelet and Basma Taieb},

url = {https://www.emerald.com/insight/content/doi/10.1108/IJCHM-02-2021-0226/full/html},

year  = {2021},

date = {2021-08-01},

journal = {International Journal Of Contemporary Hospitality Management},

abstract = {Purpose-This study bridges the gap between sensory marketing and the use of the internet of things (IoT)in upscale hotels. This paper aims to investigate how stimulating guests'senses through IoT devices influenced their emotions, affective experiences, eudaimonism (well-being), and ultimately, guest behavior.The authors examined the potential moderating effects of gender.

Design/methodology/approach-Research conducted comprised an exploratory study, which consisted of interviews with hotel managers (Study 1) and an online confirmatory survey (n= 357) amonghotel guests (Study 2).

Findings-The results showed that while the senses of smell, hearing and sight had an impact on guests'emotions, the senses of touch, hearing and sight impacted guests'affective experiences. The senses of smelland taste influenced guests'eudaimonism. The sense of smell had a greater effect on eudaimonism andbehavioral intentions among women compared to men.

Research limitations/implications-This study concentrated on upscale hotels located in Europe. Further research may explore the generalizability of thefindings (e.g. in other cultures, comparison betweenhigh-end and low-end hotels).

Practical implications-Managers of upscale hotels should apply congruent sensory stimuli from allfive senses. Stimuli may be customized (?SoCoIoT?marketing). IoT in hotels may be useful in the aftermath ofthe COVID pandemic, as voice commands help guests avoid touching surfaces.

Originality/value-IoT can be applied in creating customized multi-sensory hotel experiences. Forexample, hotels may offer unique and diverse ambiances in their rooms and suites to improve guestexperiences.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{kefi_1546,

title = {Privacy and Intelligent Virtual Assistants Usage across Generations},

author = {Hajer Kefi and Ekaterina Besson and Karina Sokolova and Chiraz Aouina Mejri},

url = {https://www.cairn.info/revue-systemes-d-information-et-management-2021-2-page-43.htm},

year  = {2021},

date = {2021-07-01},

journal = {Systèmes d'Information et Management},

volume = {26},

number = {2},

pages = {43-76},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kembellec_1495,

title = {XML et son écosystème},

author = {Gérald Kembellec and Nicolas Travers},

url = {https://www.techniques-ingenieur.fr/base-documentaire/technologies-de-l-information-th9/management-des-systemes-d-information-42302210/xml-et-son-ecosysteme-h3502/#presentation},

year  = {2021},

date = {2021-06-01},

journal = {Techniques de l'Ingénieur - Technologies logicielles, Architectures des systèmes},

volume = {TIB302DUO},

number = {h3502},

pages = {23},

abstract = {Cet article traite de la structuration de fichiers XML, de la manière de les produire, de les utiliser, de les requêter à travers divers prismes. En effet, après une courte introduction historique sur les causes industrielles et intellectuelles qui ont amené à l'avènement d'XML comme format de stockage de données et d'informations, l'article revient sur les grammaires et vocabulaires qui permettent la structuration et la qualification documentaire dans l'industrie ou la culture. L'article se poursuit par l'application des règles du XML dans la gestion des connaissances et par une incursion dans le Web des données liées. Enfin, l'article présente XML comme structure, vecteur de stockage et de partage de données : il explore le potentiel d'XML comme base de données, les méthodes de requêtage, d'échange et de flux de données.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{zhao_1415,

title = {Need for uniqueness and word of mouth in disruptive innovation adoption : the context of self-quantification},

author = {Zhenzhen Zhao and Marie Haikel-Elsabeh and Patricia Baudier and Damien Renard and Alexander Brem},

url = {https://ieeexplore.ieee.org/document/9427059},

year  = {2021},

date = {2021-05-01},

journal = {Ieee Transactions On Engineering Management},

abstract = {People can now monitor and quantify their daily life activities through quantified-self products, such as self-tracking devices. These types of products are invading the market, and the reasons for their adoption must be understood. Word of mouth (WOM) plays a crucial role in the adoption of disruptive innovations. In line with the literature, this article demonstrates that quantified-self products are disruptive innovations that have distinct antecedents explaining why individuals use WOM. Hence, this article examines the need for uniqueness (NFU) and perceived values as drivers of satisfaction that in turn impact WOM. Data from a sample of 496 actual users of self-tracking devices were collected through an online survey. The results emphasize the positive impact of the NFU on satisfaction through utilitarian and hedonic values. We propose theoretical and managerial insights and suggest that companies must adopt a new perspective on disruptive innovations, particularly related to satisfaction and WOM, by considering the variables proposed in the research model.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{ananthabhotla_1384,

title = {Cognitive Audio Interfaces: Mediating Sonic Information with an Understanding of How We Hear},

author = {Ishwarya Ananthabhotla and David B Ramsay and Clément Duhart and Joseph A Paradiso},

url = {https://ieeexplore.ieee.org/document/9353971},

year  = {2021},

date = {2021-04-01},

journal = {Ieee Pervasive Computing},

volume = {20},

number = {2},

pages = {36-45},

abstract = {In a world of rich, complex, and demanding audio environments, intelligent systems can mediate our interaction with the sounds around us - both to enable meaningful, aesthetic experiences and to transition work from humans to computational agents. Drawing from several years of our research, we suggest that the design of such systems must be driven by a deep understanding of auditory cognition. In this article, we discuss two concrete approaches we take toward cognition-informed interface design - one that begins with sounds themselves to form explicit, contextualized, cognitive models, built on the foundations of large-data parsing infrastructure; and one that begins with the individual, built from intuition surrounding the influence of the cognitive state on perception. We point toward an unexplored and compelling future at their intersection.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kefi_1424,

title = {Dépendance au courrier électronique : effets sur le technostress et la surcharge informationnelle et répercussions sur la performance},

author = {Hajer Kefi and Michel Kalika and Najma Saidani},

url = {https://www.cairn.info/revue-systemes-d-information-et-management-2021-1-page-45.htm},

year  = {2021},

date = {2021-04-01},

journal = {Systèmes d'Information et Management},

volume = {26},

number = {1},

pages = {45-83},

abstract = {x},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{tran_1076,

title = {Taking a closer look: reasserting the role of self-accountability in ethical consumption},

author = {Thi Thanh Huong Tran and Nicholas Paparoidamis},

url = {https://www.sciencedirect.com/science/article/abs/pii/S0148296319307623},

year  = {2021},

date = {2021-03-01},

journal = {Journal Of Business Research},

volume = {126},

pages = {542-555},

abstract = {x},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{vazquez_1219,

title = {Effect of an e-retailer's product category and social media platform selection on perceived quality of e-retail products},

author = {Erik Ernesto Vazquez},

url = {https://link.springer.com/article/10.1007%2Fs12525-020-00394-8},

year  = {2021},

date = {2021-03-01},

journal = {Electronic Markets},

volume = {31},

number = {1},

pages = {10},

abstract = {The growth of e-retail has expanded to a wide range of product categories. E-retailers compete in a multichannel environment using several social media platforms (SMPs) where their product category and use of SMPs affect potential consumers' perception of product quality. Although studies have noted the potential of SMPs and differences between SMPs to support consumers in their information collection about products, the effect of different SMPs on consumers' perception of product quality remains unexplored. Based on a literature review, this research suggests a theoretical framework of the knowledge acquisition process for new consumers evaluating the quality of diverse retail products. Using network and information theory, this study proposes hypotheses to assess the effect of diverse e-retailer's product categories and different SMPs on consumer's perception of e-retail product quality for consumers unfamiliar with e-retail brands. After testing these hypotheses using primary data, results partially validate the theoretical framework. Research findings help practitioners to organise their e-retail products display across diverse SMPs and provide insights for scholars of e-retailing and digital media striving to acquire consumers online.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ul-ain_1702,

title = {Unveiling Knowledge Quality, Researcher Satisfaction, Learning, and Loyalty: A Model of Academic Social Network Success},

author = {Noor Ul-Ain},

url = {https://www.emerald.com/insight/content/doi/10.1108/ITP-07-2018-0345/full/html},

year  = {2021},

date = {2021-01-01},

journal = {Information Technology & People},

volume = {34},

number = {1},

pages = {204-227},

abstract = {Abstract

Purpose

Examines how perceived knowledge quality influences researchers' satisfaction with academic social media (ASM) site use, perceived learning from use, and loyalty toward the site.



Design/methodology/approach

Built upon the theoretical grounding of the information system success framework, it was hypothesized that satisfaction, perceived learning, and loyal behavior toward an ASM site are all functions of the perceived quality of knowledge obtained. Data were collected by online survey from 348 researchers registered on ResearchGate and subjected to SmartPLS structural equation modeling, bootstrapping, and blindfolding.

Findings

The hypothesized relationships were supported. Perceived knowledge quality significantly influences researchers' satisfaction with ASM site use, and satisfaction affects perceived learning and researchers' loyalty with the ASM site.



Research limitations/implications

Identification of the relationship between perceived knowledge quality and ASM site success extends the study of ASM sites from description of usage patterns to understanding the effect of content quality on important outcomes of use.

Practical implications

ASM sites rely on the quality of knowledge contributed by their members for satisfaction, loyalty, and perceptions of value. The ongoing success of an ASM requires directed attention to quality knowledge provision.



Originality/value

This paper contributes a simplified DeLone & McLean information system success framework for studies of content quality. It also provides fresh insights into ASM site usage through a focus on the role of perceived knowledge quality in forming satisfaction, learning, and loyalty.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bou_saba_1192,

title = {Soigner le mal par le mal : recherche-action sur la technique de l'inoculation pour limiter les résistances à un projet TI},

author = {Peter Bou Saba},

url = {https://www.cairn.info/revue-systemes-d-information-et-management-2020-3-page-87.htm},

year  = {2020},

date = {2020-12-01},

journal = {Systèmes d'Information et Management},

volume = {25},

number = {3},

pages = {87-126},

abstract = {La littérature académique propose un large éventail de méthodes de gestion du changement visant à identifier et réduire les résistances liées aux projets TI. Alors qu'en psychologie et sociologie, l'originalité de la méthode de l'inoculation a su séduire chercheurs comme praticiens, celle-ci n'a été que peu testée dans le domaine des systèmes d'information. Elle postule que de la même manière qu'un individu peut être vacciné contre un virus, il peut également s'autoprémunir d'influences négatives en s'exposant aux arguments avancés par les détracteurs du projet. La réfutation, à cet effet, consiste à fournir des arguments à l'individu pour l'aider à soutenir son attitude et à être capable de rejeter d'autres contre-argumentations à venir. Cette recherche dévoile les résultats d'une recherche-action menée pendant 3 ans auprès d'une société de conseil au sein de laquelle l'implémentation d'un système d'aide à la décision a été associée à de forts comportements de résistance face auxquels la technique de l'inoculation a été expérimentée pour en limiter les effets. Les résultats tendent à confirmer la contribution de ladite méthode sur la préservation des attitudes positives des partisans avec un effet « boomerang » relatif sur les détracteurs.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{vazquez_1412,

title = {Influence of consumer product categorization on digital sales: The mediating effect of conversion rate},

author = {Erik Ernesto Vazquez and Diana Davila Ruiz and Julio César García Martinez},

url = {https://nidisag.isag.pt/index.php/IJAM/article/view/517},

year  = {2020},

date = {2020-12-01},

journal = {European Journal of Applied Business and Management},

volume = {6},

number = {4},

pages = {1-14},

abstract = {Purpose: The objective is to know what the mediating effect of the category of consumer products on sales performance is.



Methodology: Data from 216 e-commerce platforms were used using the Search-Experience-Trust (SEC) categorization. Two t tests were used to confirm significant differences between product categories and regression analyzes were performed to test the hypotheses.



Results: The results show that the ease of evaluating products before consumption has two main effects in electronic commerce: 1) they increase web traffic and 2) they decrease their conversion rate. However, the results also show that the ease of evaluating a product category directly influences online sales per visitor, since the mediating effect of the conversion rate is only partial.



Implications: This study contributes in practice to be able to determine predictive models related to the supply and demand of retail products in electronic commerce and shows a way to segment consumers who depend on their perceptions of product categories.



Originality/Value: This research, unlike what is in the literature, contributes to the study of electronic commerce from the perspective of the company, and not from the perspective of the consumer, in the performance of sales and conversion rates.



Keywords: Category Management; Information Economics; E-commerce; Perceived product quality, Conversion rate.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ul-ain_1675,

title = {Two decades of research on business intelligence system adoption, utilization and success - A systematic literature review},

author = {Noor Ul-Ain},

url = {https://doi.org/10.1016/j.dss.2019.113113},

year  = {2020},

date = {2020-10-01},

journal = {Decision Support Systems},

volume = {125},

number = {113113},

pages = {13},

abstract = {In the recent era of technological advances and hyper-competition, business intelligence (BI) systems have attracted significant attention from executives and decision makers due to their ability to provide complex and

competitive information inputs for the decision process. Following the world of practice, research into the

adoption, utilization and success of BI systems has grown substantially over the past two decades. The literature

suggests that organizations have largely failed to capture the benefits of BI systems to their full extent and are

seeking ways to leverage value from the implemented systems. However, prior studies do not have any comprehensive study that discusses the issues and challenges related to adoption, utilization and success of BI

systems. In this study, using a systematic literature review, we present comprehensive knowledge about what has

been found in the domain of BI system adoption, utilization and success. A total of 111 peer-reviewed studies,

covering three categories - adoption, utilization and success - published between 2000 and 2019, were selected.

The findings present the research methods, underpinning theories and key factors employed to study BI system

adoption, utilization and success. In addition, the review identified the key issues related to BI adoption, utilization and success and highlighted the areas that have attracted more or less attention. This study also suggests

future directions for researchers and practitioners in terms of unexplored themes that may help organizations to

obtain value from BI systems.},

keywords = {},

pubstate = {accepted},

tppubtype = {article}

}

@article{tran_1193,

title = {Eco-Innovations in Global Markets: The Effect of Ecological (In)Congruence on Consumers' Adoption Intentions},

author = {Thi Thanh Huong Tran and Nicholas Paparoidamis},

url = {https://journals.sagepub.com/eprint/MAKIMS7SVMSKY2SVHQX3/full},

year  = {2020},

date = {2020-09-01},

journal = {Journal Of International Marketing},

volume = {28},

number = {3},

pages = {64-83},

abstract = {Eco-innovations are increasingly manufactured and consumed across national borders. Although global outsourcing can be financially profitable, it is questionable whether consumers respond to eco-innovations manufactured in different countries in the same way. This article introduces the ecological country-of-manufacture (COM) concept, which reflects consumers' perception of a country's commitment to sustainable development policy and practices. Drawing on schema theory, the current research examines how consumer reactions to ?ecological (in)congruence??when the sustainability reputation of a COM is a (mis)match with product eco-friendliness levels?vary across product categories (Study 1a), consumption contexts (Study 1b), and national settings (Study 2). Consumers report more preferential evaluations when there is ecological incongruence for privately consumed products and ecological congruence for publicly consumed products. The results also demonstrate the differential moderating effects of socioeconomic development factors and cultural dimensions. In emerging markets with highly embedded, hierarchical, and high-harmony cultures, consumers require ecological congruence to justify their adoption decisions, whereas in developed markets with highly autonomous, egalitarian, and high-mastery cultures, consumers are more likely to adopt eco-innovations that are ecologically incongruent.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{dupuis_1233,

title = {Real-Time Influence Maximization in a RTB Setting},

author = {David Dupuis and Cédric Du Mouza and Nicolas Travers and Gaël Chareyron},

url = {https://link.springer.com/article/10.1007%2Fs41019-020-00132-2},

year  = {2020},

date = {2020-09-01},

journal = {Data Science and Engineering},

volume = {5},

number = {3},

pages = {224-239},

abstract = {To maximize the impact of an advertisement campaign on social networks, the real-time bidding (RTB) systems aim at targeting the most influential users of this network. Influence maximization (IM) is a solution that addresses this issue by maximizing the coverage of the network with top-k influencers who maximize the diffusion of information. Associated with online advertising strategies at Web scale, RTB is faced with complex ad placement decisions in real time to deal with a high-speed stream of online users. To tackle this issue, IM strategies should be modified in order to integrate RTB constraints. While most traditional IM methods deal with static sets of top influencers, they hardly address the dynamic influence targeting issue by integrating short time decision, no interchange and stream's incompleteness. This paper proposes a real-time influence maximization approach which takes influence maximization decisions within a real-time bidding environment. A deep analysis of influence scores of users over several social networks is presented as well a strategy to guarantee the impact of an IM strategy in order to define the budget of an ad campaign. Finally, we offer a thorough experimental process to compare static versus dynamic IM solutions wrt. influence scores.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kefi_1432,

title = {The power of lurking: Assessing the online experience of luxury brand fan page followers},

author = {Hajer Kefi and Daniel Maar},

url = {https://www.sciencedirect.com/science/article/abs/pii/S0148296318303886?via%3Dihub},

year  = {2020},

date = {2020-09-01},

journal = {Journal Of Business Research},

volume = {117},

pages = {579-586},

abstract = {x},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pignot_1672,

title = {Affective Politics and Technology Buy-In: A Framework of Social, Political, and Fantasmatic Logics},

author = {Edouard Pignot},

url = {https://aisel.aisnet.org/jais/vol21/iss4/6/},

year  = {2020},

date = {2020-07-01},

journal = {Journal Of The Association For Information Systems},

volume = {21},

number = {4},

pages = {901-935},

abstract = {We propose a socially informed explanation of technology framing by examining technology ?buy-in??actors' relative susceptibility to such framing. We draw on the field of critical social theory to introduce the ?Logics,? a new framework to the IS discipline that reveals a performative relationship between collective framing, power, and affect. The Logics enable us to study buy-in by revealing the differing degrees of affective self-identification that underpin and color social practices, showing their inherently political nature. We exemplify the affective as well as social politics of buy-in with an account of Unity 3D, a market-leading game engine that underwent a major repositioning from ?fringe? to ?mainstream? markets, and discuss four poles of affective positioning with which to conceptualize technology buy-in. We conclude by highlighting the consequent need for greater political and ethical awareness about the framing of IS and by proposing a framework for conceptualizing actors' orientations toward and thus possible buy-in or resistance to technology framing.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{alizadeh_1236,

title = {Reinforcement Learning for Interactive QoS-Aware Services Composition},

author = {Pegah Alizadeh and Aomar Osmani and Mohamed Essaid Khanouche and Abdelghani Chibani and Yacine Amirat},

url = {https://ieeexplore.ieee.org/document/9110736},

year  = {2020},

date = {2020-06-01},

journal = {Ieee Systems Journal},

volume = {15},

number = {1},

pages = {1098-1108},

abstract = {An important and challenging research problem in web of things is how to select an appropriate composition of concrete services in a dynamic and unpredictable environment. The main goal of this article is to select from all possible compositions the optimal one without knowing a priori the users' quality of service (QoS) preferences. From a theoretical point of view, we give bounds on the problem search space. As the QoS user's preferences are unknown, we propose a vector-valued MDP approach for finding the optimal QoS-aware services composition. The algorithm alternatively solves MDP with dynamic programming and learns the preferences via direct queries to the user. An important feature of the proposed algorithm is that it is able to get the optimal composition and, at the same time, limits the number of interactions with the user. Experiments on a real-world large size dataset with more than 3500 web services show that our algorithm finds the optimal composite services with around 50 interactions with the user.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}