scholarly journals Shared Short-Term Rentals for Sustainable Tourism in the Social-Network Age: The Impact of Online Reviews on Users’ Purchase Decisions

2019 ◽  
Vol 11 (15) ◽  
pp. 4064 ◽  
Author(s):  
Jie Zhao ◽  
Zhixiang Peng
Keyword(s):  
Social Network ◽  
Perceived Risk ◽  
Perceived Value ◽  
Online Reviews ◽  
Sharing Economy ◽  
The Internet ◽  
Purchase Decisions ◽  
Short Term ◽  
New Variables ◽  
The Impact

With the development of social networks and the Internet-based sharing economy, shared short-term rentals are emerging as a new kind of service that provides a convenient way for people to buy short-term rental services in cities through social-network-enabled platforms. However, like other social-network-based services, shared short-term rental is also likely to be impacted by online reviews. This paper aims to investigate the impact of online reviews on users’ purchase decisions toward shared short-term rentals, and further to provide optimization suggestions for the future advance of shared short-term rentals. The contributions of this paper are many-fold. First, we introduce the Stimuli-Organism-Response (SOR) model into the study and propose new variables for the model, including stimulus variables, organism variables, response variable, and moderating variables. Second, we propose eight hypotheses to evaluate the impact of online reviews on users’ purchase decisions toward shared short-term rentals. Finally, we collect data through a questionnaire survey and present comprehensive results on many aspects. Based on the data analysis, we find out that the quality of online reviews impacts users’ perceived value and perceived risk, which in turn impacts users’ purchase decisions toward shared short-term rentals. In addition, the cognitive needs of users can adjust the impact of online reviews on the perceived risk of users but have no explicit adjusting effect for users’ perceived value. Further, we present some research implications as well as suggestions for rental platforms to advance shared short-term rentals in the Internet age.

scholarly journals Empirical Study on Behavioral Intentions of Short-Term Rental Tenants—The Moderating Role of Past Experience

2019 ◽  
Vol 11 (12) ◽  
pp. 3404 ◽  
Author(s):  
Xiaoyi Chen ◽  
Sarah Cheah ◽  
Ao Shen
Keyword(s):  
Perceived Risk ◽  
Behavioral Intentions ◽  
Business Models ◽  
Sustainable Consumption ◽  
Perceived Value ◽  
Sharing Economy ◽  
Value Theory ◽  
Past Experience ◽  
Short Term ◽  
The Relationship

Existing sharing economy (SE) studies tend to focus on the nature of SEs, their business models, and impact. However, there are limited in-depth studies on what motivates consumers’ participation in sustainable SE context, particularly in short-term rentals involving safety risks arising from face-to-face engagement with strangers while consuming the services. Applying the perceived value theory and extended theory of planned behavior, this study examines the relationships among consumers’ perceived value (gain versus loss), past experience, and behavioral intentions in sustainable consumption of short-term rentals offered on smart online matching platforms. Based on a survey of 421 Chinese consumers, our study has demonstrated that social appeal and economic appeal (gains) are positively related to behavioral intentions. Second, we establish that the relationship between perceived risk (loss) and behavioral intentions is inverted U-shaped, enriching the existing literature which has assumed a linear relationship. Finally, our study shows that past experience positively moderates the influence of social appeal on behavioral intentions. This suggests that, compared with consumers having little or no past experience, the positive relationship between social appeal and behavioral intentions is stronger for consumers having much past experience. On the other hand, past experience has no effect on the relationship between economic appeal and behavioral intentions.

The Impact of E-Procurement Systems in the Biomedical Industry

2020 ◽  
Vol 27 (2) ◽  
pp. 66
Author(s):  
A. Seetharaman ◽  
Nitin Patwa ◽  
Simon Lai Koek Wai ◽  
Ahammed Shamir
Keyword(s):  
Supply Chain ◽  
Cost Savings ◽  
The Internet ◽  
Business Analytics ◽  
Process Automation ◽  
Short Term ◽  
Compliance Cost ◽  
Biomedical Industry ◽  
The Impact

The evolution of the Internet has revolutionised the sourcing and procurement processes in organisations in every industry. The focus of this paper is to analyse the perception of business users on the factors which impact the usage of eprocurement systems in the biomedical industry. There are four factors identified in this research: i.e. control and compliance, cost savings, process automation, and improvements and transparency. The benefit of achieving process automation is the first biggest factor, followed by the need for control and compliance, and transparency, being the second and third factors respectively. The fourth factor, cost savings, is ignored because the users perceived that cost savings will not be realised in the short term, and the returns from the investment could be a couple of years after the eprocurement system has been fully operational. The research also concludes that the ability to perform business analytics and to strengthen the supply chain are the most important factors in measuring the success in the adoption of e-procurement systems

scholarly journals Airbnb Short-term Housing Rental Status Prediction Model Under the Impact of the COVID-19 Pandemic

2021 ◽  
Vol 251 ◽  
pp. 01017
Author(s):  
Zhixiang Lu
Keyword(s):  
Machine Learning ◽  
New York ◽  
Regional Differences ◽  
Prediction Accuracy ◽  
Visual Analysis ◽  
Sharing Economy ◽  
Short Term ◽  
Emerging Industries ◽  
Machine Learning Model ◽  
The Impact

With the vigorous development of the sharing economy, the short-term rental industry has also spawned many emerging industries that belong to the sharing economy. However, due to the impact of the COVID-19 pandemic in 2020, many sharing economy industries, including the short-term housing leasing industry, have been affected. This study takes the rental information of 1,004 short-term rental houses in New York in April 2020 as an example, through machine learning and quantitative analysis, we conducted statistical and visual analysis on the impact of different factors on the housing rental status. This project is based on the machine learning model to predict the changes in the rental status of the house on the time series. The results show that the prediction accuracy of the random forest model has reached more than 94%, and the prediction accuracy of the logistic model has reached more than 74%. At the same time, we have further explored the impact of time span differences and regional differences on the housing rental status.

scholarly journals The Impact of E-Procurement Systems in the Biomedical Industry

2020 ◽  
Vol 27 (1) ◽  
pp. 66
Author(s):  
A. Seetharaman ◽  
Nitin Patwa ◽  
Simon Lai Koek Wai ◽  
Ahammed Shamir
Keyword(s):  
Supply Chain ◽  
Cost Savings ◽  
The Internet ◽  
Business Analytics ◽  
Process Automation ◽  
Short Term ◽  
Compliance Cost ◽  
Biomedical Industry ◽  
The Impact

The evolution of the Internet has revolutionised the sourcing and procurement processes in organisations in every industry. The focus of this paper is to analyse the perception of business users on the factors which impact the usage of eprocurement systems in the biomedical industry. There are four factors identified in this research: i.e. control and compliance, cost savings, process automation, and improvements and transparency. The benefit of achieving process automation is the first biggest factor, followed by the need for control and compliance, and transparency, being the second and third factors respectively. The fourth factor, cost savings, is ignored because the users perceived that cost savings will not be realised in the short term, and the returns from the investment could be a couple of years after the eprocurement system has been fully operational. The research also concludes that the ability to perform business analytics and to strengthen the supply chain are the most important factors in measuring the success in the adoption of e-procurement systems

Share or Lose

2021 ◽  
pp. 267-285
Author(s):  
Kamil Yagci ◽  
Mahmut Efendi ◽  
Sureyya Akçay
Keyword(s):  
Service Sector ◽  
Sharing Economy ◽  
Future Research ◽  
The Internet ◽  
Social Technology ◽  
Basic Information ◽  
Goods And Services ◽  
Consumption Practices ◽  
Use Of The Internet ◽  
The Impact

In addition to the development of social technology and the widespread use of the internet, the fact that people are getting used to sharing their goods and services has made the concept of sharing economy a popular issue. Sharing economy is “a potential new way for sustainability,” and it is noted that it would disrupt the unsustainable hyper-consumption practices directing capitalist economies. In this regard, the importance of sharing economy becomes prominent. In this study, first of all, basic information was given about sharing economy and then the concepts about how it made progress were introduced. In the next step, the definitions of sharing economy were given, the importance of sharing was mentioned, and then the products used in sharing economy were mentioned. In the following stage, the benefits of sharing economy to nature were addressed, and the weaknesses and dark sides of sharing economy were revealed. Finally, the impact of the sharing economy on the service sector was emphasized, and opinions were presented for future research on this subject.

The impact of monetary rewards for online reviews

2019 ◽  
Vol 31 (5) ◽  
pp. 1486-1515 ◽  
Author(s):  
Yongrui Duan ◽  
Chen Chen ◽  
Jiazhen Huo
Keyword(s):  
Analytical Framework ◽  
Online Reviews ◽  
Monetary Reward ◽  
Product Reviews ◽  
Purchase Decisions ◽  
Content Type ◽  
Second Stage ◽  
Monetary Rewards ◽  
Stage 1 ◽  
The Impact

Purpose To encourage buyers to contribute product reviews, some online sellers offer monetary rewards. The purpose of this paper is to investigate the impact of monetary rewards on buyers’ purchase decisions and review contributions, as well as the impact on the seller’s price decisions and profit. Design/methodology/approach The authors consider an online seller in a two-stage setting. Prior to Stage 1, the profit-maximizing seller sets the price and decides whether to offer a monetary reward secretly to motivate online reviews. Then, a continuum of buyers arrives and makes purchase decisions at the beginning of each stage. First-stage buyers may contribute reviews if they are satisfied, which will affect demand in the second stage. Using this analytical framework, the authors analyze the impact of monetary rewards. Findings If the monetary reward is small, it decreases the seller’s profit and fails to generate more reviews. It also increases price, leading to a decline in total demand. Thus, when the reward is lower than a certain threshold, all buyers are worse off. Only when the reward exceeds the threshold are buyers who contribute reviews better off. Profit and total demand both increase in review quality, while the price may either increase or decrease in it. Originality/value To the best of the authors’ knowledge, this paper is the first to analyze theoretically the impact of monetary rewards on buyers’ purchase decisions, review contributions and on online sellers’ decisions.

Mobile-banking adoption: empirical evidence from the banking sector in Pakistan

2018 ◽  
Vol 36 (7) ◽  
pp. 1386-1413 ◽  
Author(s):  
Maya F. Farah ◽  
Muhammad Junaid Shahid Hasni ◽  
Abbas Khan Abbas
Keyword(s):  
Perceived Risk ◽  
Structural Equation ◽  
Banking Sector ◽  
Perceived Value ◽  
Equation Modeling ◽  
Mobile Banking ◽  
Content Type ◽  
Actual Use ◽  
Use Behavior ◽  
The Impact

Purpose The purpose of this paper is to study the important factors which help explain consumer intention and use behavior in mobile banking (m-banking) adoption. All constructs of the unified theory of acceptance and use of technology 2 are studied. Non-monetary value is studied through perceived value. Trust and perceived risk are also included to predict intention. Design/methodology/approach A questionnaire was utilized to evaluate customer responses on a five-point Likert scale. A convenience sampling technique was used to collect data from a sample of 490 respondents in Pakistan. The data were analyzed using AMOS and SPSS for Cronbach’s α, CR, CMV, AVE, Harmon’s single factor test, correlation and structural equation modeling. Findings The results of the study show that most of the predictors of intention, including perceived value, performance expectancy, habit, social influence, effort expectancy, hedonic motivation (except for facilitating condition), perceived risk and trust, are significant. All predictors of usage behavior are significant. Research limitations/implications A cross-sectional study was conducted due to time constraints. Practical implications Bank managers must focus on improving customers’ intentions to use m-banking as well as on providing facilitating conditions to increase its actual use. To boost mobile banking, banks’ management must consider the customers’ habits while designing their m-banking products. Originality/value The findings of this paper are not only interesting in terms of boosting m-banking diffusion rate, but also in terms of financial inclusion of the vast majority of mobile users. Further the impact of intention, facilitating condition and habit were checked on actual use behavior since people tend not always to act upon their intentions.

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