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Conducting Concepts of Big Data and Social Media into Digital Marketing Strategy

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Economic and Business Aspects of Sustainability".

Deadline for manuscript submissions: closed (30 September 2023) | Viewed by 2187

Special Issue Editors


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Guest Editor
Department of Tourism Management, National Kaohsiung University of Science and Technology, Kaohsiung City, Taiwan
Interests: sustainability; marketing strategy; creativity; innovation; entrepreneurship
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Guest Editor
Department of Hospitality Management, Ming Chuan University, Taoyuan County 333, Taiwan
Interests: restaurant franchising management; food and beverage management; hospitality industry analysis

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Guest Editor
Department of Tourism, Ming Chuan University, Taoyuan City, Taiwan
Interests: behavioral intention; sustainability; innovation; festival and special event management

Special Issue Information

Dear Colleagues,

The rapid evolution of social media technology is accompanied by increasing attention to digital applications in tourism and hospitality management. The newly conducted concept of digital technology can refresh the perceptions of the traditional operation of sustainable tourism and hospitality and change the marketing strategies formation process. While some studies have investigated the showing of the mechanism of big data, fewer studies have explicitly considered the extensions in the context of digital marketing strategy through social media. This is arguably a major omission, as available evidence points at the foremost potential of big data and digial technology to affect the nature of tourism and hospitality marketing management.

This Special Issue aims to publish high-quality research papers on the inter-disciplinary field by integrating existing studies of big data, digital marketing strategy, sustainable management in tourism and hospitality.

Therefore, we invite scholars to write conceptual, empirical studies or case studies across all facets of big data, marketing strategy, tourism, and hospitality for sustainability. In particular, selected topics will include, but will not be limited to:

  • Big data and social media application with sustainability;
  • Digitial marketing strategy with sustainability;
  • Tourism with sustainability;
  • Hospitality with sustainability;
  • Tourism, hospitality and sustainable cities and communities toward smart tourism; Tourism, hospitality and sustainable consumption and production;
  • Tourism, hospitality and environment conservation;
  • Trend of tourism, hospitality and conservation and sustainably use the oceans, seas and marine resources with big data technology;
  • Blockchain technology with sustainability;
  • Concepts of bigdata, social media, digital marketing strategy applied in sustainable education.

Dr. Chih-Hsing Sam Liu
Dr. Sheng-Fang Chou
Dr. Yung-Chuan Huang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • big data
  • digital technology
  • marketing strategy
  • sustainability
  • tourism
  • hospitality
  • machine learning
  • data mining
  • sustainable education

Published Papers (1 paper)

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Research

22 pages, 2489 KiB  
Article
Value Creation and Capture with Big Data in Smart Phones Companies
by Maniyassouwe Amana, Pingfeng Liu and Mona Alariqi
Sustainability 2022, 14(23), 15882; https://doi.org/10.3390/su142315882 - 29 Nov 2022
Cited by 3 | Viewed by 1735
Abstract
With the advent of social media, the volume of data generated on the internet has exploded due to the growing number of social network users and their interactions on the internet. Given that, in the age of the digital economy, data has become [...] Read more.
With the advent of social media, the volume of data generated on the internet has exploded due to the growing number of social network users and their interactions on the internet. Given that, in the age of the digital economy, data has become raw material in terms of decision making, it is important and urgent to conduct a study to understand the effect of big data on value creation and value capture. The goal of the current research is to study the share of big data in value creation and capture in the companies Apple and Samsung. The main question addressed by this article is whether the increasing volumes of data in the digital age can improve the creation and capture of value. To achieve this goal, we considered active users of the three main social networks that Samsung and Apple companies use for their advertising to describe “big data”. We measure the “value creation” through the hardware component of the smartphone, such as the battery, camera, CPU speed, RAM (Random-Access Memory), screen size, and storage. Profit, satisfaction, and unit of phone sold are the three manifest variables considered to measure “Value capture”. As a methodology, we used partial least squares and structural equation modeling to obtain the results. The pattern enables us to measure the effect of big data on value creation and value capture. The results indicate that CPU speed, RAMs, and battery capacity are the principal variables that impact the “value creation” in terms of customer need and satisfaction. Full article
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