2,954 research outputs found

    Harnessing customized built-in elements -- Empowering Component-Based Software Engineering and Design Systems with HTML5 Web Components

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    Customized built-in elements in HTML5 significantly transform web development. These elements enable developers to create unique HTML components tailored with specific design and purpose. Customized built-in elements enable developers to address the unique needs of web applications more quickly, supporting consistent user interfaces and experiences across diverse digital platforms. This study investigates the role of these features in Component-Based Software Engineering (CBSE) and Design Systems, emphasizing the benefits of code modularity, reusability, and scalability in web development. Customized built-in elements enable developers to address the unique needs of web applications more quickly, supporting consistent user interfaces and experiences across diverse digital platforms. The paper also discusses the difficulties and concerns that must be addressed when creating customized built-in elements, such as browser compatibility, performance optimization, accessibility, security, styling, and interoperability. It emphasizes the importance of standardization, developer tooling, and community interaction in order to fully realize the potential of these features. Looking ahead, customized built-in elements have potential in a variety of applications, including the Internet of Things (IoT), e-commerce, and educational technologies. Their incorporation into Progressive Web Apps (PWAs) is expected to further improve web experiences. While obstacles remain, the article concludes that HTML5 customized built-in elements are a driver for web development innovation, allowing the production of efficient, adaptive, and user-centric web applications in an ever-changing digital context.Comment: 13 pages, 5 figures, 15th International Conference on Web services & Semantic Technology (WeST 2023

    What is smart for retailing?

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    AbstractWhile the last decade has seen increasing interest in the smart city phenomenon from both scholars and practitioners, little attention has been paid to what extent retailing might be considered as part of smart cities, with benefits for all the actors involved in the process. In fact, retailing is subject to a radical innovation force that makes available several technologies that can be successfully applied. The extensive use of advanced systems gives rise to new questions concerning the smart use of technologies. Moreover, the application of advanced technologies is part of a trend towards the creation of smart cities for a better urban society. In this scenario, the idea of smartness goes beyond the concept of application of new technologies by also including more important dimensions, such as organizational structure. Hence, our work aims at identifying what can be considered smart for retailing, in terms of features of smart technology for retailing, and the challenges emerging from the adoption of such smart technologies

    Conceptual Model for an Intelligent Persuasive Driver Assistant

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    Traffic congestion is a serious issue for large cities.  This is especially critical for cities that has insufficient mass transit system like Bangkok.  Although transportation infrastructure projects and rail mass transit lines are being implemented, these efforts require major financial investment and take a long time to complete.  This work proposes to help reduce traffic problems through influencing a change in driver behavior.  In this initial stage, a model for an intelligent persuasive driver assistant is conceptualized as a voice-interactive smart assistant on a smartphone.  The system uses information about the driver, his physical state, vehicle performance information, and geolocation information to form persuasive strategies to influence driver behavior and to adapt user interfaces and interactions to reduce driver distraction.  Integrating these components together is expected to provide improved assistance in driving tasks and affect driving behavior changes. Keywords: intelligent driver assistant, navigation, smart assistant, persuasive technolog

    Editorial

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    The effects of Omni-Channel retailing on promotional strategy

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    The objective of this study is to ascertain the effects of omni-channel retailing on the promotional strategy of retail organisations in order to better understand how to alter the promotional strategy in accordance with the ever-changing needs of customers and ultimately provide the customer with a seamless experience. This research is based on a critical systematic literature review of articles related to the topics of ‘omni-channel retailing’ and ‘promotional strategy’. The analysis made evident that most literature is focused on developing an understanding of omni-channel retailing; uncovering consumer behaviours in omni-channel retailing; and ways to adapt promotional strategies related to merchandising, sales promotion, selling, and word of mouth. Past research is quite fractured and does not represent a holistic picture of the implications of omni-channel retailing for promotional strategy. The analysis provided in this paper provides a general guideline for researchers and practitioners concerning promotional strategies that can be adopted in omni-channel retailing. © 2022 by the authors. Licensee MDPI, Basel, Switzerland

    How Can e-Grocers Use Artificial Intelligence Based on Technology Innovation to Improve Supply Chain Management?

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    [EN] The digital transformation among grocery sales is in full swing. However, some retailers are struggling to adapt to technological innovation in the grocery industry to achieve digital excellence. The purpose of this article is to analyse artificial intelligence systems applied in e-commerce that could be implemented in online grocery sales. Unlike other online businesses, grocery sales face logistical challenges that differentiate them, such as fresh product conservation and tight delivery times. Through a literature review, this study aims to provide researchers and practitioners with a starting point for the selection of technological innovation to solve e-grocery problems.Vazquez-Noguerol, M.; Prado-Prado, C.; Liu, S.; Poler, R. (2021). How Can e-Grocers Use Artificial Intelligence Based on Technology Innovation to Improve Supply Chain Management?. IFIP Advances in Information and Communication Technology. 626:142-150. https://doi.org/10.1007/978-3-030-78288-7_1414215062

    Panel: IS has outgrown the need for reference discipline theories, or has it?

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    In the decade since the creation of wireless handheld devices, mobile commerce (m-commerce) has become a ubiquitous channel for accessing information and conducting business. Mobile users can now access information anytime and anywhere. Mobile advertising, retailing, and gambling are popular, and gradually the competition among mobile services providers turns fierce. Hence, some services providers adopt personalization technologies to customize content for their users. This paper explores the opportunities and challenges of the use of personalization technologies in m-commerce. Although the effectiveness of personalization on the web is well-examined, there is little work on personalization in mobile services. The debates regarding the effectiveness of personalization and technological limitations and privacy concerns motivate us to conduct focus groups with mobile users, and explore the opportunities and challenges of personalized mobile services. The focus groups findings illustrate that mobile users are very concerned about their privacy and spam. We then extract a list of personal information from the focus groups findings. This list of personal information is highly related to mobile users’ privacy concerns. We conduct an online survey to gain a better understanding of which piece of information mobile users are more willing to share with services providers and we perform a multi-dimensional scale analysis
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