Online Mobile Targeted Advertising

被引:0
|
作者
Bhumgara, Afreen [1 ]
机构
[1] Alumnus Nowrosjee Wadia Coll, Pune, Maharashtra, India
关键词
advertisemeny; consumer; firm; mobile computing; OMTA; profit; SERVICES;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Online mobile targeted advertising is increasingly being used by firms to influence consumers. This mobile computing innovation has challenges of firms infringing consumers' privacy by collecting details resulting in consumers avoiding the advertisement. The innovation requires improvements to address the challenges facing it. The main aim of this research paper was to critically study OMTA and consumers' avoidance of OMTA to both recommend changes for improvements and investigate the benefits of an improved OMTA. Theoretical modeling and empirical evidence were used in this study. Results showed that OMTA increases firms' profits and ensures consumers' satisfaction. Advancement in OMTA without regard to consumers' attitude results in consumers avoiding advertisement. Consumers can misuse the capability to ignore advertisement resulting in decreased firm performance of both and consumer satisfaction. Balancing advancement in OMTA and consumers' privacy is a challenging issue. The findings indicate that there is limited research exploring OMTA. Future experimental studies are vital in confirming the outcome of this research study.
引用
收藏
页码:372 / 377
页数:6
相关论文
共 50 条
  • [21] Competitive pricing and targeted advertising strategies in online and offline channels with webrooming
    He X.
    Li L.
    Zhu X.
    Zhang H.
    Yang W.
    Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice, 2024, 44 (03): : 1114 - 1128
  • [22] Your Online Interests - Pwned! A Pollution Attack Against Targeted Advertising
    Meng, Wei
    Xing, Xinyu
    Sheth, Anmol
    Weinsberg, Udi
    Lee, Wenke
    CCS'14: PROCEEDINGS OF THE 21ST ACM CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY, 2014, : 129 - 140
  • [23] Building a targeted mobile advertising system for location-based services
    Li, Kai
    Du, Timon C.
    DECISION SUPPORT SYSTEMS, 2012, 54 (01) : 1 - 8
  • [24] Privacy-Preserving Targeted Mobile Advertising: Formal Models and Analysis
    Liu, Yang
    Simpson, Andrew
    DATA PRIVACY MANAGEMENT AND SECURITY ASSURANCE, 2016, 9963 : 94 - 110
  • [25] A Practical System for Privacy-Aware Targeted Mobile Advertising Services
    Jiang, Jinghua
    Zheng, Yifeng
    Shi, Zhenkui
    Yuan, Xingliang
    Gui, Xiaolin
    Wang, Cong
    IEEE TRANSACTIONS ON SERVICES COMPUTING, 2020, 13 (03) : 410 - 424
  • [26] Targeted advertising and advertising avoidance
    Johnson, Justin P.
    RAND JOURNAL OF ECONOMICS, 2013, 44 (01): : 128 - 144
  • [27] Privacy-preserving targeted mobile advertising: A Blockchain-based framework for mobile ads
    Ullah, Imdad
    Kanhere, Salil S.
    Boreli, Roksana
    JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2023, 211
  • [28] Online Advertising Intermediary: How Online Advertising Works?
    Hanafizadeh, Payam
    Behboudi, Mehdi
    Hasanabad, Hamideh Mokhtari
    INTERNATIONAL JOURNAL OF ONLINE MARKETING, 2014, 4 (01) : 29 - 38
  • [29] Targeted Content Distribution in Outdoor Advertising Network by Learning Online User Behaviors
    Huang, Meng
    Fang, Zhixiang
    Zhang, Tao
    WEB AND WIRELESS GEOGRAPHICAL INFORMATION SYSTEMS (W2GIS 2020), 2020, 12473 : 125 - 134
  • [30] A Bayesian Network Model for Optimizing Advertisements Allocation in Intermediate Online Targeted Advertising
    Li, Kai
    Yan, Jianyuan
    Wang, Xiaowen
    2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31, 2008, : 9457 - 9460