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Strategic Thinking and Innovation in Tourism Sector

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Tourism, Culture, and Heritage".

Deadline for manuscript submissions: closed (15 November 2020) | Viewed by 4222

Special Issue Editor


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Guest Editor
University of Dallas, USA
Interests: travel, tourism, hospitality marketing; sustainability; analytics, innovation;

Special Issue Information

Dear Colleagues,

Innovation ecosystems are a trending topic in multiple disciplines where traditional, reductionist approaches have proven increasingly inadequate for the problems and opportunities occurring in dynamic, interconnected conditions. Interest in innovation ecosystems in the tourism sector has been particularly robust, establishing tourism as an early adaptor of innovation ecosystems in practice and as a thought leader in scholarship. Although understanding of the nature and role of innovation ecosystems continues to evolve, its essence survives its conceptual inception (Lundvall, 1985) as “the network of institutions in the public and private sectors whose activities and interactions initiate, import, modify and diffuse new technologies” (Freeman, 1995, p. 23). In other words, innovation ecosystems are an application of complexity science and systems thinking.

Tourism is itself a complex adaptive system and has recognized the value of a systems approach (Farrell and Twining-Ward, 2004; 2005; Wegner et al., 2009; McKercher, 1999). There is active and exciting research on innovation ecosystems in tourism (Baggio and Chiappa, 2013; Boes et al., 2016; Buhalis  and Amaranggana,2013; Bulc, 2011; Gretzel et al., 2015; Peceny et al., 2019; Polese et al., 2018), and we believe that additional theory and research is needed to advance our understanding of this topic. Therefore, the primary purposes of this Special Issue are to consider the state of theory and research on innovation ecosystems in the tourism sector, expand existing theories or offer integrative models of tourism innovation ecosystems and, generally, foster additional scholarship on the topic.

Thus, we welcome manuscripts on any tourism-related innovation ecosystem topic. Both conceptual and empirical perspectives are welcome. Case studies involving in-depth and detailed examinations of tourism innovation ecosystems in real-life are encouraged.

Prof. Dr. Dale Fodness
Guest Editor

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

  • Collaborative networks 
  • Complex adaptive systems (CAS) 
  • Complexity science 
  • Entrepreneurial ecosystems 
  • Innovation ecosystem governance 
  • Interconnectedness 
  • Models of innovation ecosystems 
  • Regional innovation ecosystems 
  • Smart tourism 
  • Strategic dynamics 
  • Sustainable innovation 
  • Sustainable tourism 
  • Systems thinking 
  • Value co-creation

Published Papers (1 paper)

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Research

17 pages, 1167 KiB  
Article
Forecasting Daily Room Rates on the Basis of an LSTM Model in Difficult Times of Hong Kong: Evidence from Online Distribution Channels on the Hotel Industry
by Tianxiang Zheng, Shaopeng Liu, Zini Chen, Yuhan Qiao and Rob Law
Sustainability 2020, 12(18), 7334; https://doi.org/10.3390/su12187334 - 7 Sep 2020
Cited by 4 | Viewed by 3819
Abstract
Given the influence of the financial-economic crisis, hotel room demand in Hong Kong has experienced a significant drop since June 2019. Given that studies on the room rate aspect remains limited, this study considers the demand for hotel rooms from different categories and [...] Read more.
Given the influence of the financial-economic crisis, hotel room demand in Hong Kong has experienced a significant drop since June 2019. Given that studies on the room rate aspect remains limited, this study considers the demand for hotel rooms from different categories and districts. This study makes forecast attempts for room rates from mid-October of 2019 to mid-June of 2020, which was a difficult period for Hong Kong owing to the onset of the social unrest and novel coronavirus outbreak. This study develops an approach to the short-term forecasting of hotel daily room rates on the basis of the Long Short-Term Memory (LSTM) model by leveraging the key properties of day-of-week to improve accuracy. This study collects a data set containing 235 hotels of the period from various online distribution channels and generates different time series data with the same day-of-week. This study verifies the proposed model through three baseline models, namely, autoregressive integrated moving average (ARIMA), support vector regression (SVR), and Naïve models. Findings shed light on how to lessen the impact of violent fluctuations by combining a rolling procedure with separate day-of-week time series for the hospitality industry. Hence, theoretical and managerial areas for hotel room demand forecasting are enriched on the basis of adjusting room pricing strategies for hoteliers in improving revenue management and making appropriate deals for customers in booking hotel rooms. Full article
(This article belongs to the Special Issue Strategic Thinking and Innovation in Tourism Sector)
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