Mobile Information Systems

Location-Based Mobile Marketing Innovations 2018


Publishing date
01 Feb 2019
Status
Published
Submission deadline
28 Sep 2018

Lead Editor

1Dongguk University, Gyeongju, Republic of Korea

2Oakland University, Rochester, USA

3University of Tasmania, Hobart, Australia


Location-Based Mobile Marketing Innovations 2018

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The objective of this special issue is to bring together research contributions of unpublished research on the recent development and innovations about the location-based service mobile marketing.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 makes 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 increasing business traction and engagement

Articles

  • Special Issue
  • - Volume 2019
  • - Article ID 2164708
  • - Editorial

Location-Based Mobile Marketing Innovations 2018

Jaegeol Yim | Subramaniam Ganesan | Byeong Ho Kang
  • Special Issue
  • - Volume 2019
  • - Article ID 8505219
  • - Research Article

A Study on Removing Cloud Drift of Sky-Sea Infrared Image Based on Agent

Jianming Sun | Zhipeng Fan | ... | Xiaoyan Li
  • Special Issue
  • - Volume 2019
  • - Article ID 6560848
  • - Research Article

Research on Precision Marketing Model of Tourism Industry Based on User’s Mobile Behavior Trajectory

Jialin Zhang | Tong Wu | Zhipeng Fan
  • Special Issue
  • - Volume 2019
  • - Article ID 4147859
  • - Research Article

Consumers Team Detection Model Based on Trust for Multi-Level

Xiaoming Li | Guangquan Xu | ... | Honghao Gao
  • Special Issue
  • - Volume 2019
  • - Article ID 5089626
  • - Research Article

RoC: Robust and Low-Complexity Wireless Indoor Positioning Systems for Multifloor Buildings Using Location Fingerprinting Techniques

Kriangkrai Maneerat | Kamol Kaemarungsi
  • Special Issue
  • - Volume 2019
  • - Article ID 9083956
  • - Research Article

Location-Based Test Case Prioritization for Software Embedded in Mobile Devices Using the Law of Gravitation

Xiaolin Wang | Hongwei Zeng | ... | Weiwei Lin
  • Special Issue
  • - Volume 2019
  • - Article ID 8950508
  • - Research Article

From Reputation Perspective: A Hybrid Matrix Factorization for QoS Prediction in Location-Aware Mobile Service Recommendation System

Shun Li | Junhao Wen | Xibin Wang
  • Special Issue
  • - Volume 2019
  • - Article ID 1790429
  • - Research Article

The Identification of Marketing Performance Using Text Mining of Airline Review Data

Jae-Won Hong | Seung-Bae Park
  • Special Issue
  • - Volume 2018
  • - Article ID 2659142
  • - Research Article

Dilemma and Solution of Traditional Feature Extraction Methods Based on Inertial Sensors

Zhiqiang Peng | Yue Zhang
  • Special Issue
  • - Volume 2018
  • - Article ID 7698648
  • - Research Article

A Case Study Analysis of Clothing Shopping Mall for Customer Design Participation Service and Development of Customer Editing User Interface

Ying Yuan | Jun-Ho Huh
Mobile Information Systems
 Journal metrics
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Acceptance rate5%
Submission to final decision187 days
Acceptance to publication137 days
CiteScore1.400
Journal Citation Indicator-
Impact Factor-
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