Web personalization: The state of the art and future avenues for research and practice

Salonen, Ville; Karjaluoto, Heikki

doi:10.1016/j.tele.2016.03.004

Cited by 73 publications

(84 citation statements)

References 118 publications

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“…For example, subjects like business, entertainment, weather, or fashion can have particular apps instead of a generic news app, and therefore, personalization has not figured as an important determinant. Since scholars acknowledge the uncertainty over the value potential of personalization [109], we can arguably assume that for news apps' continuous use intention, personalization in itself is not a determinant factor.…”

Section: Discussionmentioning

confidence: 99%

Role of Personalization in Continuous Use Intention of Mobile News Apps in India: Extending the UTAUT2 Model

Cheng

Sharma

et al. 2020

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The aim of this study was to empirically examine the extended unified theory of acceptance and use of technology 2 (UTAUT2) model by adding “personalization” as one of the antecedents, as well as a moderator to determine the key factors for the continuous use intention of mobile news applications (apps). For this study, an online and manual sample survey of 309 respondents, who had used the news app earlier, was collected and analyzed, using quantitative methods such as explanatory and confirmatory factor analysis, structural equation modeling, and Hayes process for finding moderating effects among variables. The findings of the direct effect demonstrated that performance expectancy (PE) has the most influential effect on continuous use intention, followed by habit (HT), hedonic motivation (HM), and facilitating conditions (FC). Furthermore, the outcome of tests for the moderating effect of personalization between UTAUT2 constructs and continuous use intention (CUI) showed that personalization has a significant moderating effect on performance expectancy and habit. Therefore, this research establishes the key role of PE, HT, HM, and FC as main factors that trigger the users’ continuous use intention of news apps and provides an integrated framework to assess the moderating effect of personalization on technology acceptance. The findings of the research expand the existing literature on news applications and provide foundation for future research studies in the area of mobile news apps.

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Section: Discussionmentioning

confidence: 99%

Role of Personalization in Continuous Use Intention of Mobile News Apps in India: Extending the UTAUT2 Model

Cheng

Sharma

et al. 2020

Information

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“…In this sense, a very interesting application of this paradigm addresses the area of recommender systems, which in combination with IoT, are currently successful solutions for facilitating online access to the information that fits user preferences and needs in overloaded search spaces [36]. For example, housing design in safe, adaptive environments, integrated with technologies for senior citizens life support [37], or web personalization [38] are hot related challenges.…”

Section: Id:p1150mentioning

confidence: 99%

Design of Fuzzy Controllers for Embedded Systems With JFML

Soto-Hidalgo¹,

Vitiello²,

Alonso³

et al. 2019

IJCIS

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Fuzzy Rule-Based Systems JFML Embedded systems IEEE Std 1855-2016 Open source software Open hardware ID:p0085 Fuzzy rule-based systems (FRBSs) have been successfully applied to a wide range of real-world problems. However, they suffer from some design issues related to the difficulty to implement them on different hardware platforms without additional efforts. To bridge this gap, recently, the IEEE Computational Intelligence Society has sponsored the publication of the standard IEEE Std 1855-2016 which is aimed at providing the fuzzy community with a well-defined approach to model FRBSs in a hardwareindependent way. In order to provide a runnable version of an FRBS that is designed in accordance with the IEEE Std 1855-2016, the open source library Java Fuzzy Markup Language (JFML) has been developed. However, due to hardware and/or software limitations of embedded systems, it is not always possible to run an IEEE Std 1855-2016 FRBS on this kind of systems. The aim of this paper is to overcome this drawback by developing a new JFML module that assists developers in the design and implementation of FRBSs for open hardware-embedded systems. In detail, the module supports several connection types (WiFi, Bluetooth, and USB) in order to make feasible running FRBSs in a remote computer when, due to hardware limitations, it is not possible that they run locally in the embedded systems. The new JFML module is ready for Arduino TM and Raspberry Pi, but it can be easily extended to other hardware architectures. Moreover, the new JFML module allows to automatically generate runnable files on Arduino TM or Raspberry Pi in order to support nonexpert users, that is, users without specific knowledge about embedded systems or without strong programming skills. The use of the new JFML module is illustrated in two case studies. A B S T R A C T

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“…Online retailers have been implementing various strategies to attract and retain customers. Web personalization has been identified as an important factor in the area of marketing and information systems (Salonen and Karjaluoto, 2016). Consumer behaviour analysis is a key aspect for the success of e-business.…”

Section: Literature Reviewmentioning

confidence: 99%

Technology acceptance model in e-commerce segment

Fedorko¹,

Bačík²,

Gavurová³

2018

Management &Amp; Marketing

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Consumer behaviour analysis is a key aspect for the success of e-business. The main objective of the study is to analyse the impact of selected user experience factors on e-commerce web site visiting (technology). The objective of the study is to create a model that will explain the impact of each major factor on the user experience and the re-visit of the e-shop. To explain the use of e-commerce technology, in the second part we have modified the original technology acceptance model (TAM) with other constructs. Specifically, there are modern technologies such as social networks or mobile apps that affect the use of e-shops. The TAM model is one of the most used models of what the system uses to identify the perceived usefulness and perceived simplicity of use from the user’ side. For the main advantage of our study, we consider that we have highlighted the importance of the factor of modern technology and therefore of social networks, mobile applications and contextual advertising. This factor, along with the other two factors, has been incorporated into our model and has shown that modern technologies have a direct impact and are therefore directly related to the frequency using the e-commerce websites.

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Web personalization: The state of the art and future avenues for research and practice

Cited by 73 publications

References 118 publications

Role of Personalization in Continuous Use Intention of Mobile News Apps in India: Extending the UTAUT2 Model

Role of Personalization in Continuous Use Intention of Mobile News Apps in India: Extending the UTAUT2 Model

Design of Fuzzy Controllers for Embedded Systems With JFML

Technology acceptance model in e-commerce segment

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