Mobile Information Systems

Location-Based Mobile Marketing Innovations


Status
Published

Lead Editor

1Dongguk University, Gyeongju, Republic of Korea

2Oakland Unviersity, Rochester, USA

3University of Tasmania, Hobart, Australia


Location-Based Mobile Marketing Innovations

Description

The increasing complexity of the industry means that marketers must now be experts not only in marketing, but also in people, data, delivery platforms, and mobile location-based marketing.

The objective of location-based marketing via mobile devices is to encourage those activities, as well as drive foot traffic, share discounts and build customer loyalty. Mobile devices have been used to gather information about nearby businesses including reviews, directions, calling the business, and using the businesses’ mobile app. With location-based mobile marketing, the business is easy to find and has skillfully combined location-based marketing with an overall targeted marketing approach that includes social media, push notifications, email newsletters, and even offline marketing.

The objective of this special issue is to bring together research contributions of unpublished research on the recent development and innovations about the location-based service mobile marketing. This aims to facilitate and support research in the current e-commerce innovation that make business easy, engaging, and at hand of the consumers.

Potential topics include but are not limited to the following:

  • Indoor positioning system of smart phones
  • Mobile geographic information systems
  • Location-based marketing for smartphone users
  • Location-based marketing strategies
  • Mobile marketing applications
  • Geofencing for business
  • Geocaching
  • Business and consumers location information
  • Mobile engagement strategies and developing LBS technologies
  • Contextual services and location data for improved services and increase business traction and engagement

Articles

  • Special Issue
  • - Volume 2017
  • - Article ID 1303919
  • - Editorial

Location-Based Mobile Marketing Innovations

Jaegeol Yim | Subramaniam Ganesan | Byeong Ho Kang
  • Special Issue
  • - Volume 2017
  • - Article ID 8501976
  • - Research Article

An Enhancement of Optimized Detection Rule of Security Monitoring and Control for Detection of Cyberthreat in Location-Based Mobile System

Wonhyung Park | Byeong Ho Kang
  • Special Issue
  • - Volume 2017
  • - Article ID 7356213
  • - Research Article

Collaborative QoS Prediction for Mobile Service with Data Filtering and SlopeOne Model

Yuyu Yin | Wenting Xu | ... | Lifeng Yu
  • Special Issue
  • - Volume 2017
  • - Article ID 2189646
  • - Research Article

A Hybrid Location Privacy Solution for Mobile LBS

Ruchika Gupta | Udai Pratap Rao
  • Special Issue
  • - Volume 2017
  • - Article ID 6195024
  • - Research Article

Network Access Control for Location-Based Mobile Services in Heterogeneous Wireless Networks

Dae-Young Kim | Dae-sik Ko | Seokhoon Kim
  • Special Issue
  • - Volume 2017
  • - Article ID 8429878
  • - Research Article

A Traffic Prediction Model for Self-Adapting Routing Overlay Network in Publish/Subscribe System

Meng Chi | Jianhua Yang | ... | Zhenhui Li
  • Special Issue
  • - Volume 2017
  • - Article ID 3824765
  • - Research Article

A Parallel Strategy for Convolutional Neural Network Based on Heterogeneous Cluster for Mobile Information System

Jilin Zhang | Junfeng Xiao | ... | Hangdi Tu
  • Special Issue
  • - Volume 2017
  • - Article ID 6310827
  • - Research Article

Exploring Intracity Taxi Mobility during the Holidays for Location-Based Marketing

Wen-jun Wang | Xiao-ming Li | ... | Wei Yu
  • Special Issue
  • - Volume 2017
  • - Article ID 2867127
  • - Research Article

Design of Optimized Multimedia Data Streaming Management Using OMDSM over Mobile Networks

Byungjoo Park | Ankyu Hwang | Haniph Latchman
  • Special Issue
  • - Volume 2017
  • - Article ID 6389567
  • - Research Article

Detecting Difference between Process Models Based on the Refined Process Structure Tree

Jing Fan | Jiaxing Wang | ... | Tianyang Dong
Mobile Information Systems
 Journal metrics
Acceptance rate37%
Submission to final decision102 days
Acceptance to publication42 days
CiteScore3.900
Impact Factor1.508
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