Showing 1 - 20 results of 252 for search 'user’s intention', query time: 0.07s Refine Results
  1. 1

    PREDICTORS OF M-CONTINUANCE INTENTION: CASE OF USERS IN BOSNIA AND HERZEGOVINA by Amra Grcić, Ensar Mekić

    Published 2019-11-01
    “… Even though researchers are increasingly studying various aspects of m-commerce, few of them focused on factors of m-continuance intention. The main aim of this study is to investigate if consumer innovativeness and social influence are statistically significant predictors of m-continuance intention. …”
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  2. 2

    PREDICTORS OF M-CONTINUANCE INTENTION: CASE OF USERS IN BOSNIA AND HERZEGOVINA by Amra Grcić, Ensar Mekić

    Published 2019-11-01
    “… Even though researchers are increasingly studying various aspects of m-commerce, few of them focused on factors of m-continuance intention. The main aim of this study is to investigate if consumer innovativeness and social influence are statistically significant predictors of m-continuance intention. …”
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    Article
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    Decoding Users’ Continuance Intentions towards Digital Financial Platforms in the Indian Economy by Anandhi Elangovan, Manivannan Babu

    Published 2024-10-01
    “…Utilizing the Stimulus-Organism-Response (S-O-R) model, the study examines how ease of use, credibility and ubiquity (stimulus) could influence user trust, satisfaction, and engagement (organism), ultimately affecting their intention to use and recommend the service (response) continuously. …”
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    A Preliminary Investigation of User Perception and Behavioral Intention for Different Review Types: Customers and Designers Perspective by Atika Qazi, Ram Gopal Raj, Muhammad Tahir, Mahwish Waheed, Saif Ur Rehman Khan, Ajith Abraham

    Published 2014-01-01
    “…Based on Technology Acceptance Model (TAM) and statistical measures we examine users’ perception about different review types and its effects in terms of behavioral intention towards using online review system. …”
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    A Hybrid Neural Network BERT-Cap Based on Pre-Trained Language Model and Capsule Network for User Intent Classification by Hai Liu, Yuanxia Liu, Leung-Pun Wong, Lap-Kei Lee, Tianyong Hao

    Published 2020-01-01
    “…User intent classification is a vital component of a question-answering system or a task-based dialogue system. …”
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    The Influence of Brand Image and Electronic Word of Mouth on Purchase Intention of the Originote Products by Tiktok Users with Brand Trust as a Mediator by Falasifatul Falah, Muzakar Isa

    Published 2025-02-01
    “… This research explores the effect of brand image and electronic word of mouth (e-WOM) on the purchase intention of Originote products among TikTok users, with brand trust as a mediating factor. …”
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    Guerrilla marketing on Facebook: A mixed-method study on the effects on brand image and content sharing intentions by Belem Barbosa, Anabela Rocha, Leandro Pina

    Published 2022-07-01
    “…This study also shows that frequent Facebook users have a greater predisposition to interact with guerrilla marketing content.…”
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    Building Purchase Intention By Understanding Interaction, Intimacy, Attitude and Intention to Play Shopee Games by Zevaniya Vika Radiliana, Ferry Tema Atmaja

    Published 2024-11-01
    “…Additionally, gaming intention emerged as a significant correlate, influencing increased exposure to in-game product promotions and potentially motivating users in their purchasing intentions. …”
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    Paramounts of Intent-based Networking: Overview by Martins Mihaeljans, Andris Skrastins, Jurgis Porins

    Published 2024-12-01
    “…This study is an exploration of the design of the state-of-the-art intent-based networking (IBN) model. In IBN, communication means are initialised by user’s (herein IT staff, not end-user) input of requirements and not instructions. …”
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    Knowledge-defined intent-based network autonomy by Jingyu WANG, Cheng ZHOU, Lei ZHANG, Cong LIU, Zirui ZHUANG, Hongwei YANG, Danyang CHEN, Yanhong ZHU, Lu LU, Jianxin LIAO

    Published 2021-09-01
    “…The complexity of the network determines that the autonomy of the intention network can’t be achieved at one go.The key is to break through multiple problem domains of network management and control from a global perspective, to summarize the network rules, mechanisms and strategies into knowledge, to build the knowledge space of resource allocation in the whole scene, and finally to realize the ubiquitous intelligence of the intention network.Focusing on 6G intention network, which takes knowledge-defined intelligence as the key enabling technology to improve the perception and decision-making closed-loop ability of intention network, and constructs a self-learning, self-operating and self-maintaining intention network.Achieving full autonomy in 6G networks is a long-term goal, which requires step by step evolvements, from providing repeat operation alternatives, to performing perception and monitoring on network environment and equipment states, to making decisions according to a number of factors and strategies, to effectively sensing end-user experience, and finally to a fully autonomous intelligent network that senses the intention of operators and users, self-optimizes and self-evolves.…”
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    The Effect of Trust in the Intention to Use m-banking by Fernanda Leão Ramos, Jorge Brantes Ferreira, Angilberto Sabino de Freitas, Juliana Werneck Rodrigues

    Published 2018-01-01
    “…The objective of the study is to investigate the effect of trust in the intention to use m-banking in the Brazilian context, specifically among users of the city of Rio de Janeiro. …”
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    Kombinasi Intent Classification dan Named Entity Recognition pada Data Berbahasa Indonesia dengan Metode Dual Intent and Entity Transformer by Zahra Asma Annisa, Rizal Setya Perdana, Putra Pandu Adikara

    Published 2024-10-01
    “…One application of artificial intelligence for service excellence is the use of a chatbot, which requires an appropriate method for the classification of user intent and Named Entity Recognition (NER). One of the drawbacks of performing intent classification and NER separately lies in the different numerical representations used in each model. …”
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