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1 – 10 of over 253000The purpose of this paper is to explore how organizational actors interpret and enact technology in cross-boundary work contexts during e-government implementation in a public…
Abstract
Purpose
The purpose of this paper is to explore how organizational actors interpret and enact technology in cross-boundary work contexts during e-government implementation in a public organization in East Malaysia.
Design/methodology/approach
Case study methodology involving semi-structured interviews, unobtrusive observations, and archival records was utilized in the study. Interview subjects include management staff, general employees, and information technology (IT) specialists to provide rich descriptions of their work practice.
Findings
Three distinct contexts contribute to cross-boundary work practice in relation to IT use and non-use, namely, standardization (complete IT use), hybridization (partial IT use), and conventionalization (zero IT use). Technology enactment strategies such as acceptance, avoidance, adaptation, and configuration are employed depending on actors’ interpretation of technology complexity and task interdependency.
Practical implications
Early interventions could involve examining how and why employees accept or avoid technology as part of their work practice and how they switch between enactment strategies. Organizations could ensure better team support to capitalize on the robust social interaction in cross-boundary work contexts to develop greater synergy in technology improvisations.
Originality/value
The study extends the technology enactment perspective as it offers new meanings to structures of action by understanding the temporal agentic orientations and how these are constructed by cross-boundary work contexts. It also offers insight into how enactment strategies are developed according to the productive tensions that arise from the interplay of cognitive orientations.
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Waskitho Wibisono, Arkady Zaslavsky and Sea Ling
The recent advances of mobile computing and sensing technologies have enabled mobile devices to individually sense environment context and develop situation awareness capability…
Abstract
Purpose
The recent advances of mobile computing and sensing technologies have enabled mobile devices to individually sense environment context and develop situation awareness capability. To gain a better understanding of the environment, mobile devices that are co‐located can establish a mobile peer‐to‐peer (MP2P) environment to share their individual context information. The purpose of this paper is to propose a theoretical model for representing and reasoning about situations using uncertain context information captured by multiple devices in an MP2P environment.
Design/methodology/approach
The paper proposes a generic model for reasoning about situations using uncertain context information captured by multiple devices in a MP2P environment. A data fusion technique is then integrated into the proposed model. To deal with uncertainty of context information captured by multiple independent devices, several models to estimate reliability of context information captured in the environment is proposed and developed.
Findings
The proposed model has been implemented as a middleware and evaluated using data from real experiments in various scenarios and environment settings. The results of the experiments show the robust performances of the proposed model as the basis for situation reasoning in the environment.
Originality/value
A novel model to represent situations and context information captured by multiple devices and to estimate reliability context information used for situation reasoning is proposed. The proposed model is then implemented as a middleware and validated using context data taken captured by multiple independent devices in a MP2P environment.
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One-Ki Daniel Lee, Seoyoun Lee, Woojong Suh and Younghoon Chang
Social networking services (SNSs) have become deeply ingrained into our daily life. However, it has often been reported that users experience negative feelings regarding SNS…
Abstract
Purpose
Social networking services (SNSs) have become deeply ingrained into our daily life. However, it has often been reported that users experience negative feelings regarding SNS usage. This phenomenon presents challenges for SNS providers in retaining or increasing their customer base. This study focuses on SNS fatigue, a negative psychological state that can lead to discontinuance intention among SNS users. This study proposes two distinctive SNS-specific contexts and investigates how they alleviate the negative effect of SNS fatigue on user behavior.
Design/methodology/approach
Drawing upon the context-specific theorization perspective, a model involving moderation effects of the SNS-specific contexts on the relationship between user's SNS fatigue and discontinuance intention was proposed. The model was tested using survey data of active SNS users.
Findings
The results indicate that SNS fatigue leads to user discontinuance intention. However, the SNS-specific contexts, such as social interaction context and platform service context, negatively moderate the relationship between SNS fatigue and user discontinuance intention.
Originality/value
The findings of this study are expected to help SNS providers develop strategies to improve their services for effective user retention.
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Younghoon Chang, Seongyong Lee, Siew Fan Wong and Seon-phil Jeong
As the center of the fourth industrial revolution, artificial intelligence (AI) has marked its presence in various disciplines including the education field in the form of…
Abstract
Purpose
As the center of the fourth industrial revolution, artificial intelligence (AI) has marked its presence in various disciplines including the education field in the form of AI-powered learning applications. The purpose of this study is to build a research model capturing the relationships among use contexts, user gratification, attitude, learning performance and continuous intention to use an AI-powered English learning application.
Design/methodology/approach
Using the use and gratification theory, use contexts and the belief-attitude-intention theory, this paper uses a quantitative approach based on a survey method for data collection and structural equation modeling for analysis. A total of 478 students from an international university in Guangdong, China, participated in the survey after using Liulishuo for two weeks.
Findings
The results showed that perceived use contexts affected all variables associated with gratifications-obtained and gratification-opportunities. With the exception of social integrativeness, all other gratification-based factors significantly affected attitude. The attitude in turn significantly influenced learning performance and continuous use intention.
Originality/value
Mobile AI-powered learning applications are at the center of research on technology-enhanced learning in the age of media and technology convergence. The study is timely and contributes to the discussion of the roles of use context and gratifications on technology users’ attitudes and behavioral intentions.
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Achour Fatma, Anis Jedidi and Faiez Gargouri
One of the open questions is how to ensure the conceptual adaptation in the pervasive system. To answer this question, the authors needed to propose a generic model and a…
Abstract
Purpose
One of the open questions is how to ensure the conceptual adaptation in the pervasive system. To answer this question, the authors needed to propose a generic model and a mechanism to describe this system and also need generic and semantic rules to ensure the adaptation. This paper aims to propose a model to describe the pervasive information system. Second, the authors suggest an approach to divide this model so as to describe each category of contextual information separately and ensure the adaptation in the pervasive system. Finally, the authors present examples of semantic rules executed in the pervasive system.
Design/methodology/approach
This paper proposes an approach to ensure the conceptual adaptation in the pervasive system. To do it, the authors proposed a model to design the pervasive system and used semantic Web services. They proposed to divide the model to six descriptions related to the pervasive system categories information.
Findings
Pervasive information system, conceptual adaptation, semantic Web services and OWL-S are presented in this paper.
Originality/value
The originality of this paper is presented in the purpose of the pervasive information system conceptual adaption in the pervasive system. In this, later, semantic Web services were used to ensure the adaptation by the adding of contextual information in the semantic Web service description.
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Michael Zimmer and Sarah Logan
Existing algorithms for predicting suicide risk rely solely on data from electronic health records, but such models could be improved through the incorporation of publicly…
Abstract
Purpose
Existing algorithms for predicting suicide risk rely solely on data from electronic health records, but such models could be improved through the incorporation of publicly available socioeconomic data – such as financial, legal, life event and sociodemographic data. The purpose of this study is to understand the complex ethical and privacy implications of incorporating sociodemographic data within the health context. This paper presents results from a survey exploring what the general public’s knowledge and concerns are about such publicly available data and the appropriateness of using it in suicide risk prediction algorithms.
Design/methodology/approach
A survey was developed to measure public opinion about privacy concerns with using socioeconomic data across different contexts. This paper presented respondents with multiple vignettes that described scenarios situated in medical, private business and social media contexts, and asked participants to rate their level of concern over the context and what factor contributed most to their level of concern. Specific to suicide prediction, this paper presented respondents with various data attributes that could potentially be used in the context of a suicide risk algorithm and asked participants to rate how concerned they would be if each attribute was used for this purpose.
Findings
The authors found considerable concern across the various contexts represented in their vignettes, with greatest concern in vignettes that focused on the use of personal information within the medical context. Specific to the question of incorporating socioeconomic data within suicide risk prediction models, the results of this study show a clear concern from all participants in data attributes related to income, crime and court records, and assets. Data about one’s household were also particularly concerns for the respondents, suggesting that even if one might be comfortable with their own being used for risk modeling, data about other household members is more problematic.
Originality/value
Previous studies on the privacy concerns that arise when integrating data pertaining to various contexts of people’s lives into algorithmic and related computational models have approached these questions from individual contexts. This study differs in that it captured the variation in privacy concerns across multiple contexts. Also, this study specifically assessed the ethical concerns related to a suicide prediction model and determining people’s awareness of the publicness of select data attributes, as well as which of these data attributes generated the most concern in such a context. To the best of the authors’ knowledge, this is the first study to pursue this question.
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Asma Abdul Ghani Al-Shargabi and Francois Siewe
This paper aims to introduce a comprehensive framework for quality of context in pervasive context-aware systems. The framework includes the context quality characteristics, the…
Abstract
Purpose
This paper aims to introduce a comprehensive framework for quality of context in pervasive context-aware systems. The framework includes the context quality characteristics, the quality policy, the quality calculation methods and the quality control algorithm.
Design/methodology/approach
This study used the constructive research method to introduce the framework. The data of a context-aware flooding prediction system to evaluate the approach were used.
Findings
The framework improves the quality of captured context by resolving the missing, error context and the context conflicts using the quality characteristics and quality control process that are introduced in the framework.
Originality/value
This work is original. It is based on the author’s PhD work in De Montfort University.
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Wieland Schwinger, Werner Retschitzegger, Andrea Schauerhuber, Gerti Kappel, Manuel Wimmer, Birgit Pröll, Cristina Cachero Castro, Sven Casteleyn, Olga De Troyer, Piero Fraternali, Irene Garrigos, Franca Garzotto, Athula Ginige, Geert‐Jan Houben, Nora Koch, Nathalie Moreno, Oscar Pastor, Paolo Paolini, Vicente Pelechano Ferragud, Gustavo Rossi, Daniel Schwabe, Massimo Tisi, Antonio Vallecillo, Kees van der Sluijs and Gefei Zhang
Ubiquitous web applications (UWA) are a new type of web applications which are accessed in various contexts, i.e. through different devices, by users with various interests, at…
Abstract
Purpose
Ubiquitous web applications (UWA) are a new type of web applications which are accessed in various contexts, i.e. through different devices, by users with various interests, at anytime from anyplace around the globe. For such full‐fledged, complex software systems, a methodologically sound engineering approach in terms of model‐driven engineering (MDE) is crucial. Several modeling approaches have already been proposed that capture the ubiquitous nature of web applications, each of them having different origins, pursuing different goals and providing a pantheon of concepts. This paper aims to give an in‐depth comparison of seven modeling approaches supporting the development of UWAs.
Design/methodology/approach
This methodology is conducted by applying a detailed set of evaluation criteria and by demonstrating its applicability on basis of an exemplary tourism web application. In particular, five commonly found ubiquitous scenarios are investigated, thus providing initial insight into the modeling concepts of each approach as well as to facilitate their comparability.
Findings
The results gained indicate that many modeling approaches lack a proper MDE foundation in terms of meta‐models and tool support. The proposed modeling mechanisms for ubiquity are often limited, since they neither cover all relevant context factors in an explicit, self‐contained, and extensible way, nor allow for a wide spectrum of extensible adaptation operations. The provided modeling concepts frequently do not allow dealing with all different parts of a web application in terms of its content, hypertext, and presentation levels as well as their structural and behavioral features. Finally, current modeling approaches do not reflect the crosscutting nature of ubiquity but rather intermingle context and adaptation issues with the core parts of a web application, thus hampering maintainability and extensibility.
Originality/value
Different from other surveys in the area of modeling web applications, this paper specifically considers modeling concepts for their ubiquitous nature, together with an investigation of available support for MDD in a comprehensive way, using a well‐defined as well as fine‐grained catalogue of more than 30 evaluation criteria.
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