Optimal online channel strategies for a hotel considering direct booking and cooperation with an online travel agent

Ye, Fei; Yan, Hui; Wu, Yongzhong

doi:10.1111/itor.12470

Cited by 32 publications

(27 citation statements)

References 39 publications

(51 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For many of these first-generation algorithmic matchers, share prices are now declining or stabilised. Rather than trying to add OTAs to marketing strategies [106,107], tourism destinations and enterprises now aim to optimise much more generalised digital marketing strategies.…”

Section: Specialist Travel and Tourism Algorithmsmentioning

confidence: 99%

Assortative Matching of Tourists and Destinations: Agents or Algorithms?

Buckley

Cooper²

2021

Sustainability

View full text Add to dashboard Cite

We propose that assortative matching, a well-established paradigm in other industry sectors and academic disciplines, can underpin the concept of destination matching. This provides a new foundation to integrate research concepts and terminology in destination marketing and destination choice. We argue that the commercial tourism industry already applies destination matching approaches, with three historical phases. Initially, matching of tourists and destinations relied on the tacit expertise of specialist agents. This still applies in specialist subsectors. For generalist travel and accommodation, human agents were partially replaced by online travel agents, OTAs, which are customised algorithms operating only in the travel sector. These still exist, but their share price trends suggest decreasing significance. Currently, automated assortative algorithms use multiple sources of digital data to push appealing offers to potential purchasers, across all retail sectors. Digital marketing strategies for tourism products, enterprises, and destinations are now just one category of generalised product–purchaser matching, using entirely automated algorithms. Researchers do not have access to proprietary algorithms, but we can identify which components they incorporate by analysing their underlying patents. We propose that theories of destination marketing and choice need to reflect these recent and rapid real-world changes via deliberate analysis of destination matching.

show abstract

Section: Specialist Travel and Tourism Algorithmsmentioning

confidence: 99%

Assortative Matching of Tourists and Destinations: Agents or Algorithms?

Buckley

Cooper²

2021

Sustainability

View full text Add to dashboard Cite

show abstract

“…Ye et al. () investigated online channel choices of a hotel among the direct booking model, the online travel agent model, and online travel agent merchant model, and presented the conditions of each channel that is the optimal channel. Li et al.…”

Section: Literature Reviewmentioning

confidence: 99%

Whether a retailer should enter an e‐commerce platform taking into account consumer returns

Cao

et al. 2020

Int Trans Operational Res

View full text Add to dashboard Cite

Considering consumers are increasingly shopping online nowadays and the online sales market is dominated by e‐commerce giants, traditional retailers need to choose whether to enter e‐commerce platforms. Moreover, traditional retailers need to determine whether to offer offline return services considering online return services are very popular. To address these challenges, we explore a retailer's optimal offline return strategy and channel choice of whether or not to enter a platform in the contexts of symmetric information and asymmetric information, respectively. We present conditions for the retailer to share information. Interestingly, we find that the retailer in some conditions has no motivation to improve customer satisfaction rate of offline store. Most important, we find that the retailer's channel choice depends on the magnitude of the annual service fee that is affected by offline return strategy and asymmetric information, and the offline return strategy depends on the magnitude of the average residual value of returned products.

show abstract

“…Ye et al. () studied the channel strategies for a hotel considering alternative online distribution channels. The optimal decisions, price, and profits of the hotel involve whether to rely on direct booking via its official website or cooperating with an online travel agent.…”

Section: Literature Reviewmentioning

confidence: 99%

Pricing decisions in a multiechelon supply chain under a bundling strategy

Eghbali-Zarch

Taleizadeh

Tavakkoli–Moghaddam

2019

Int Trans Operational Res

View full text Add to dashboard Cite

Product pure bundling is an effective marketing strategy in real successful businesses, which has been extensively discussed in the economics and marketing areas. While investigating the theoretical and empirical aspects of operational and supply chain implications of pure bundling is essential, this paper determines the optimal pricing decisions in a centralized three‐level supply chain that consists of multiple raw material suppliers, a manufacturer and a retailer, and analyzes the impact of raw material suppliers and manufacturer operations and market characteristics on selecting the best pricing strategy. A general supply chain structure is considered, in which the manufacturer receives different raw materials from the suppliers, produces two different products, and then sells them separately, called no bundling strategy, and sells two products in a package, called pure bundling strategy, with uniformly distributed customer valuations. The proposed model finds the optimal pricing decisions of the mentioned supply chain under pure and no bundling strategies and derives the closed‐form solutions to explore the impact of each strategy on the performance of the chain due to its profit. Computational results and sensitivity analysis explain how pure bundling can be utilized as an operational strategy to improve the integrated supply chain profit through a case study. Accordingly, the final results indicate that small market size, low costs, and small amounts of required raw materials, bundling basic products with the premium ones makes the pure bundling strategy profitable even when the cost of the packages is more than the sum of the costs of two products.

show abstract

Optimal online channel strategies for a hotel considering direct booking and cooperation with an online travel agent

Cited by 32 publications

References 39 publications

Assortative Matching of Tourists and Destinations: Agents or Algorithms?

Assortative Matching of Tourists and Destinations: Agents or Algorithms?

Whether a retailer should enter an e‐commerce platform taking into account consumer returns

Pricing decisions in a multiechelon supply chain under a bundling strategy

Contact Info

Product

Resources

About