Examining the determinants of the count of customer reviews in peer-to-peer home-sharing platforms using clustering and count regression techniques

Biswas, Baidyanath; Sengupta, Pooja; Chatterjee, Dwaipayan

doi:10.1016/j.dss.2020.113324

Cited by 45 publications

(42 citation statements)

References 47 publications

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“…Generally speaking, when people make certain decisions, this mechanism will be triggered, and the core mechanisms are belief, attitude and intention. This can be well proved in the Theory of Rational Action and Davis’s Technology Acceptance Model 22 These are common theories used in the study of Behavioral intention. In the field of Consumption, consumers’ behavioral willingness will be defined as consumers’ intention and decision about commodity purchase Behavior.…”

Section: Literature Reviewmentioning

confidence: 83%

The Impact of Trust on the Willingness of Co-Tenancy Behavior: Evidence from China

Yu¹,

Zhang²

2021

PRBM

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Introduction Nowadays, more and more people choose to rent houses in first-tier cities together with other people, which can alleviate certain economic pressure. Therefore co-tenancy has become an important field of academic research in recent years and a number of previous studies have discussed the phenomenon. However, fewer studies explore the influence of different variables on the willingness of co-tenancy behavior through quantitative methods. Methods This study conceptualizes and implements concepts such as trust, positive emotion, relationship strength, satisfaction, income, duration of co-tenancy required and the willingness of co-tenancy behavior(WOCB). We designed and collected a questionnaire and finally a questionnaire survey of users (n=525) was conducted, and a basic description and comparison of research objects’ willingness of co-tenancy behavior were made in terms of trust, and positive emotion, relationship strength and monthly income also affect the willingness of co-tenancy behavior. Results The trust effects have a positive impact on the WOCB, Trust effect will affect Relationship Strength and Positive Emotion, and will further affect the WOCB. However, this influence is negative when people are in high Monthly Income and negative when people are in low Monthly Income. Discussion Trust, relationship strength and positive emotion are key factors for people to rent houses with others. That is to say, the intensity of people’s willingness to rent houses with others depends on the degree of trust in others, the relationship strength and positive emotion. When the post-90s drifters in Shenzhen do not believe others, they will tend to live alone rather than the new model of co-tenancy. We also suspect that a person with negative emotion far greater than positive emotion prefers to live alone, rather than living in the same place with his roommates. It provided certain group implications for their willingness of co-tenancy behavior.

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Section: Literature Reviewmentioning

confidence: 83%

The Impact of Trust on the Willingness of Co-Tenancy Behavior: Evidence from China

Yu¹,

Zhang²

2021

PRBM

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“…We analyzed the emotions expressed in each vaccine discussion using the Linguistic Inquiry and Word Count (LIWC) 2015 software [50]. The LIWC has an internal dictionary that defines the words to be counted in the required text file [51]. The LIWC2015 dictionary encompasses 6400 word stems, words, and emoticons.…”

Section: Sentiment Analysis Resultsmentioning

confidence: 99%

Comparison of Voluntary versus Mandatory Vaccine Discussions in Online Health Communities: A Text Analytics Approach

Alazazi¹,

Wang

2021

Proceedings of the Annual Hawaii International Conference on System Sciences

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Vaccines are vital health interventions. However, they are controversial and some people support them while others reject them. Social media discussion and big data are a rich source to understand people's insights about different vaccines and the related topics that concern most of them. This study aims to explore the online discussions about mandatory and voluntary vaccines using text analysis techniques. Reddit social platform is popular in online health discussion and thus data from Reddit is analyzed. The results show that different aspects are discussed for different types of vaccines. The discussion of mandatory vaccines is more interactive and is focused on the risks associated with them. Voluntary vaccines' discussion is focused on their effectiveness and whether to get them or not. The study have important implications for health agencies and researchers as well as for healthcare providers and caregivers.

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“…Since we denoted {X t } as the number of confirmed COVID-19 cases at time t, let now X t−1 ≡ {X t−1 , X t−2 , ...} be a collection of all past realizations of X t . Then, the Poisson model, used traditionally to analyze count data (see Agosto and Giudici (2020); Barroilhet et al (2021); Biswas et al (2020) as examples) has a probability function given by:…”

Section: First Stage: New Casesmentioning

confidence: 99%

“…The Quasi-Poisson model (as used by Biswas et al (2020) and Vicuña et al (2021) among others), instead, offers a generalization allowing for an overdispersion factor φ:…”

Section: First Stage: New Casesmentioning

confidence: 99%

“…The pathogen SARS-Cov-2 has caused the infection called Coronavirus disease 2019 (COVID-19) (Andersen et al, 2020), spreading worldwide in a few months since its identification in December 2019. Causal theories of accidental release from a lab and zoonotic spillover both remain viable (Bloom et al, 2021), and it is an ongoing pandemic at the time of writing.…”

Section: Introductionmentioning

confidence: 99%

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Nonlinear Time Series Forecasts for Decision Support: Short-Term Demand for ICU Beds in Santiago, Chile During the 2021 COVID-19 Pandemic

2021

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In Chile, due to the explosive increase of new COVID-19 cases during the first part of 2021, the ability of health services to accommodate new incoming cases was jeopardized. It has become necessary to be able to manage intensive care unit (ICU) capacity, and for this purpose, monitoring both the evolution of new cases and the demand of ICU beds, has become urgent. This paper presents short-term forecast models for the number of new cases and the number of COVID-19 patients admitted to ICUs in the Metropolitan Region in Chile.

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Examining the determinants of the count of customer reviews in peer-to-peer home-sharing platforms using clustering and count regression techniques

Cited by 45 publications

References 47 publications

The Impact of Trust on the Willingness of Co-Tenancy Behavior: Evidence from China

The Impact of Trust on the Willingness of Co-Tenancy Behavior: Evidence from China

Comparison of Voluntary versus Mandatory Vaccine Discussions in Online Health Communities: A Text Analytics Approach

Nonlinear Time Series Forecasts for Decision Support: Short-Term Demand for ICU Beds in Santiago, Chile During the 2021 COVID-19 Pandemic

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