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Developing an eMarketing model for tourism and hospitality: a keyword analysis - ProQuest - 0 views

  • Advances in IT have prompted the hospitality and tourism industries to move in a new direction, i.e. internet marketing or eMarketing (Leung et al., 2015)
  • On the other hand, from the customer perspective, tourism and hospitality are an information-intensive consumption experience because a customer might make considerable efforts to collect information and understand the image of a travel destination before making a purchase decision (Kim and Law, 2015). In this regard, search engines and social media are two of most fundamental information sources for making such decisions (Xiang and Gretzel, 2010). With their information-sharing capability, social media empower customers, granting them a “democratic consumption culture” by reducing information asymmetry and increasing their bargaining power (Leung et al., 2013). The pervasiveness and powerful computational capability of mobile technology make it possible for tourists to easily access information, book online services or even make impromptu purchases (Kim and Law, 2015). Apparently, the tourism and hospitality industries have been facing a revolution that has arisen largely because of IT turbulence (Piccoli, 2008).
  • Studies suggest that IT plays a prominent role in the tourism and hospitality industries, and it will be imperative, and indeed beneficial, for tourism and hospitality practitioners and scholars to keep abreast of all the advances in IT
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  • Correspondingly, the frontiers of IT-related research will not only benefit the innovation and encroachment of the industry but also support managers, researchers, policymakers and other interested audiences in understanding the progress of developing trends and themes in the context of IT development
  • Among these analyzes, the keyword co-occurrence network particularly aims to construct knowledge, as the keywords of an article are anchored by the authors to distill the core concepts of a paper. Keywords generally represent the main idea of a research paper and express authors’ understandings of their work within the thematic context of their research domains (Ali et al., 2019). Keywords are regarded as one of the most meaningful indicators of an article’s content (Weismayer and Pezenka, 2017). Although keywords indicate the topic area and key variables/theories used in a study, they do not convey key findings such as the causal relationship between two keywords. Nevertheless, a group of keywords from the same domain creates an intellectual knowledge map of that realm. A knowledge map is generated from keywords according to the following steps
  • Keywords are collected from journal articles. A network of these keywords is built. A knowledge map connects the same keywords in different articles. A complete knowledge map is formed when all articles undergo the previous three steps.
  • eMarketing Capability As this study’s model of eMarketing capabilities is a major contribution and these capabilities play a critical role in marketing performance, future studies can investigate the antecedents/consequences of eMarketing capability, develop a scale or investigate the formation process of this construct. Future studies might validate the proposed model-based either on a single eMarketing capability or on multiple eMarketing capabilities. Empirical studies could benefit the development of research concerning eMarketing tourism and hospitality.
  • 3. Methods3.1 Data collection
  • 3.2 Data processing
  • 3.3 Analysis process and tools
  • Emerging Digital Technologies The purpose of this study is aimed at understanding the impact of IT on tourism and hospitality. However, as IT continues to evolve and advance, and as new technologies often alter customers’ behavior, as well as firms’ marketing strategies, it is necessary to pay attention to the impact of new digital technologies on focal fields. Specifically, it could be interesting and promising to explore the impact and role of forthcoming digital technologies in different eras, specifically, artificial intelligence, machine leaning, AR, virtual reality (VR), mixed reality (MR), chatbots, robotics, blockchain, 5 G or the internet of things (Park et al., 2018; Tung and Au, 2018).
  • As the database contains journals from various domains, this study first identified the target journals by using the keywords “travel,” “tourism” and “hospitality,” identifying 24 journals. Next, as these journals are affiliated with different publishers, the keywords “IT*,” “IS” and “technology*” were input to search ICT-related articles on the official website of each journal from its first issue to April 2020.
  • Customer Equity and Engagement Value Customer equity and engagement value are two of the crucial variables that require a better understanding in the eMarketing tourism and hospitality research. With the application and support of advanced IT and quantitative mathematical models, it will be valuable for future work to explore all aspects of the factors that influence customer experiences over time to synergize and maximize customer equity and CEV for DMOs or hotels.
  • Marketing Performance Apart from loyalty, other marketing performance indicators including financial and non-financial ones are encouraged to be developed. Such work will contribute to both the tourism and hospitality academia and allow industrial managers to link financial performance with innovative IT in terms of profit, sales revenue or cash flow. Moreover, assessing non-financial marketing performance (market share, quality of services or CEV) will help researchers and managers better understand the predictors of future financial performance than traditional accounting measures have in the past, and it should also supplement financial indicators in internal accounting systems (Ittner and Larcker, 1998). Finally, it will be contributory to develop a combined indicator linking financial and non-financial measures. Table 4 summarizes the overview of future research avenues.
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    This article is about how hospitality and tourism have been reshaped through IT, eMarketing and how it has helped prove sales, information, made destinations more popular and also help travelers plan. eMarketing also is a massive platform for word of mouth. This study also shows what helped eMarketing become what it is. When certain things are typed into search bars, this data is collected and used for eMakreting and to target specific groups of people.
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