Adopting revenue management strategies and data sharing to cope with crises

Viglia, Giampaolo; Canio, Francesca De; Stoppani, Anna; Invernizzi, Anna Chiara; Cerutti, Stefania

doi:10.1016/j.jbusres.2021.08.049

Cited by 16 publications

(20 citation statements)

References 69 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…After these functions are correctly implemented, they can improve their analytical and decision-making abilities by adding advanced functions such as trend indicators, predictive analytics, strategic planning tools, profitability analysis, benchmarking, budgeting, and forecasting. In addition, we also found that in contrast to developed countries, which primarily have regulated data & analytic frameworks (Michele et al, 2019), developing countries might need to build a tourism data center or centralized coordination regulated by the government or a consortium (Viglia et al, 2021). Such movement might foster data sharing and collaboration in which each stakeholder is responsible for providing, sharing, and using data according to established standards.…”

Section: Conclusion Contribution Limitation and Future Researchmentioning

confidence: 94%

A Systematic Literature Review of Business Intelligence Framework for Tourism Organizations: Functions and Issues

Ibrahim

Handayani

2022

IJIKM

View full text Add to dashboard Cite

Aim/Purpose: The main goal of this systematic literature review was to look for studies that provide information relevant to business intelligence’s (BI) framework development and implementation in the tourism sector. This paper tries to classify the tourism sectors where BI is implemented, group various BI functionalities, and identify common problems encountered by previous research. Background: There has been an increased need for BI implementation to support decision-making in the tourism sector. Tourism stakeholders such as management of destination, accommodation, transportation, and public administration need a guideline to understand functional requirements before implementation. This paper addresses the problem by comprehensively reviewing the functionalities and issues that need to be considered based on previous business intelligence framework development and implementation in tourism sectors. Methodology: We have conducted a systematic literature review using the Preferred Reporting Items for Systematic Reviews and Guidelines for Meta-Analysis (PRISMA) method. The search is conducted using online academic database platforms, resulting in 543 initial articles published from 2002 to 2022. Contribution: The paper could be of interest to relevant stakeholders in the tourism industry because it provides an overview of the capabilities and limitations of business intelligence for tourism. To our knowledge, this is the first study to identify and classify the BI functionalities needed for tourism sectors and implementation issues related to organizations, people, and technologies that need to be considered. Findings: BI functionalities identified in this study include basic functions such as data analysis, reports, dashboards, data visualization, performance metrics, and key performance indicator, and advanced functions such as predictive analytics, trend indicators, strategic planning tools, profitability analysis, benchmarking, budgeting, and forecasting. When implementing BI, the issues that need to be considered include organizational, people and process, and technological issues. Recommendations for Practitioners: As data is a major issue in BI implementation, tourism stakeholders, especially in developing countries, may need to build a tourism data center or centralized coordination regulated by the government. They can implement basic functions first before implementing more advanced features later. Recommendation for Researchers: We recommend further studying the BI implementation barriers by employing a perspective of an adoption framework such as the technology, organization, and environment (TOE) framework. Impact on Society: This research has a potential impact on improving the tourism industry’s performance by providing insight to stakeholders about what is needed to help them make more accurate decisions using business intelligence. Future Research: Future research may involve collaboration between practitioners and academics in developing various BI architectures specific to each tourism industry, such as destination management, hospitality, or transportation.

show abstract

Section: Conclusion Contribution Limitation and Future Researchmentioning

confidence: 94%

A Systematic Literature Review of Business Intelligence Framework for Tourism Organizations: Functions and Issues

Ibrahim

Handayani

2022

IJIKM

View full text Add to dashboard Cite

show abstract

“…Turning to the Covid-19, there is a general consensus on the fact that pricing strategies and (new) booking strategies can be an effective way to cope with the issues that the Covid-19 pandemic has caused in the accommodation industry Sigala (2020) , even though the demand reduction and the unpredictable epidemic scenario have forced hoteliers to lower prices and reduce the range of their revenues management strategies Viglia et al (2021) . Several studies seem to indicate that the pandemic has changed the effect of seasonality and advance booking on pricing strategies.…”

Section: Literature Reviewmentioning

confidence: 99%

Hotel dynamic pricing, stochastic demand and covid-19

Guizzardi

Ballestra²,

D'Innocenzo³

2022

Annals of Tourism Research

View full text Add to dashboard Cite

“…Kidwell and Hasford (2014) propose that consumers high (low) on emotional intelligence will thoughtfully consider (automatically react to) meanings of emotions (emotional cues). Covid 19 pandemic has motivated stakeholders to share data (Viglia et al, 2021), and future research works may leverage on this understanding to request/collect consumer data on variables such as body mass index to assess the roles of such variables of salience (Bollimbala et al, 2019) in determining consumers' fitness and its impact on their consumption behaviors. Lastly, consumers' pursuit of sustainable consumption would depend on a lot of factors other than physical activity, such as their socioeconomic status (Kim et al, 2022), narcissism and faith in humanity (Bowen et al, 2022), generational cohort (Casalegno et al, 2022, and mindfulness (Kaur & Luchs, 2021).…”

Section: Managerial Implicationsmentioning

confidence: 99%

“…Sustainability is a much broader phenomenon, and therefore to generalize the findings to other product classes, contexts or industries, additional research should be conducted. Covid 19 pandemic has motivated stakeholders to share data (Viglia et al, 2021), and future research works may leverage on this understanding to request/collect consumer data on variables such as body mass index to assess the roles of such variables of salience (Bollimbala et al, 2019) in determining consumers' fitness and its impact on their consumption behaviors.…”

Section: Limitations and Future Research Directionsmentioning

confidence: 99%

Sweat it for sustainability: Impact of physical activity/exercise on sustainable consumption

Sarkar

Dwivedi

et al. 2022

Psychology and Marketing

View full text Add to dashboard Cite

What would make the "elusive" green consumer actually choose sustainable products? This research draws from "dopamine hypothesis of reward" to demonstrate that physical activity/exercise (regular and immediate) is a vital factor in determining consumers' sustainable behaviors. More specifically, it examines the role of physical activity/exercise on sustainable consumption behaviors as well as the role of emotional intelligence and sustainability claims.Five studies were conducted to test the hypothesized relationships. The findings from Study 1a and 1b establish direct causal link between physical activity/exercise and customers' sustainable consumption behaviors. Studies 2a and 2b show that emotional intelligence (trait-based and ability-based) may explain the effect of physical activity/exercise (regular and immediate) on sustainable consumption behaviors. Finally, the findings from Study 3 demonstrate that sustainability claims moderate the effect of emotional intelligence on sustainable consumption behaviors. These findings offer significant implications for retailers and marketers to use physical activity/exercise as a strategic intervention to positively influence consumers' evaluation and behaviors toward sustainable products.

show abstract

Adopting revenue management strategies and data sharing to cope with crises

Cited by 16 publications

References 69 publications

A Systematic Literature Review of Business Intelligence Framework for Tourism Organizations: Functions and Issues

A Systematic Literature Review of Business Intelligence Framework for Tourism Organizations: Functions and Issues

Hotel dynamic pricing, stochastic demand and covid-19

Sweat it for sustainability: Impact of physical activity/exercise on sustainable consumption

Contact Info

Product

Resources

About