Purpose With the prevalence of the sharing economy phenomenon, there are an increasing number of hosts on Airbnb who manage more than one listing. Managing more listings likely makes hosts more seasoned in terms of serving guests, but it may undermine host quality due to hosts’ constrained capability. This paper aims to examine the effects of host quality attributes and the number of listings per host on the reservation performance of these listings. Design/methodology/approach Using a large-scale but granular data set of 5,805 active listings of 4,608 Airbnb hosts in Austin, Texas, this study estimates the effects of host attributes (host quality and listing quantity) on the performance of the hosts’ Airbnb listings through a blend of regression models. Findings This study evidences that host quality attributes significantly influence listing performance through cue-based trust. In addition, this study finds a “trade-off” between host quality and the quantity of their listings. As the number of listings managed by a host increases, the performance effects of host quality diminish. Research limitations/implications The business implications of this study include the suggestion that sharing economy businesses such as Airbnb should sustain service quality through incentivizing hosts to improve host quality while balancing the quantity of listings managed. Originality/value This study contributes to the literature through its meaningful theoretical extension in the sharing economy context and unique data-driven insights enabled by an analytical approach. It addresses the critical but less researched topic of host quality and listing quantity and generates important practical business and policy implications.

Purpose The purpose of this study is to examine the psychological factors that motivate travelers to consider reusing Airbnb. Design/methodology/approach This study proposes and tests an integrative model that synthesizes the Theory of Planned Behavior (TPB), Prospect Theory (PT) and other Airbnb-relevant constructs (unique experience expectation, familiarity and electronic word of mouth) as the primary determinants of the Airbnb repurchase intention using an structural equation model (SEM) approach. Findings Both attitude and subject norms are significant determinants of repurchase intention, whereas perceived behavioral control is not. In addition, perceived value and risk have only direct significant impacts on attitude and, in turn, indirectly affect repurchase intention. Unique experience expectation, familiarity and electronic word of mouth exert direct and indirect influences on repurchase intention. Research limitations/implications This study extends the body of knowledge by integrating TPB and PT to investigate consumer repurchase intention in Airbnb, which provides a theoretical baseline and serves as a starting point for exploring the structural relationships of Airbnb and the sharing economy. Practical implications Airbnb should place more emphasis on value packages and authentic/unique travel experience to retain and attract more travelers. More safety/security programs should be put in place and clearly communicated to reduce the perceived risks. In addition, Airbnb may publicize positive word of mouth and introduce and expand familiarity programs to incentivize Airbnb travelers. Originality/value This study explores the psychological reasons why travelers will re-patronize Airbnb, providing insights into the motives of Airbnb travelers. A clear understanding of Airbnb travelers’ repurchase intention will facilitate to develop effective strategies for Airbnb to induce positive repurchase behaviors.

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In this article, we unveil determinants of guest satisfaction with urban hotel locations and disclose what types of locations are preferred by guests. Using data from 8,185 online reviews of 220 Los Angeles hotels checked in during a 1-year period, we apply a mixed-effect ordered logit model to investigate factors determining location evaluation scores. We classify all location-related factors into three categories: accessibility to points of interest, transport convenience, and surrounding environment. Our results suggest that a property’s accessibility to attractions, airports, universities and public transportation, as well as green spaces, bodies of water, and local businesses are significant determinants. Free parking and airport shuttle bus service could mitigate disadvantages related to inferior airport accessibility. Moreover, we underscore different hotel location satisfaction effects across travelers’ experiences and types of travel described in the online reviews. Lastly, different types of travelers demonstrate heterogeneous location preferences related to different tourist attractions.

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The study aimed to investigate prevalence, awareness, treatment and control of type 2 diabetes mellitus (T2DM), and to explore potential risk factors in rural areas of China. A total of 16413 individuals aged 18–74 years in rural districts were recruited from the Rural Diabetes, Obesity and Lifestyle (RuralDiab) study for the epidemiological research. Meanwhile, a meta-analysis including 7 published studies was conducted to validate the result of the cross-sectional study. The rates of crude and age-standardized prevalence, awareness, treatment and control of T2DM were 12.19%, 67.00%, 62.35%, 22.20% and 6.98%, 60.11%, 54.85%, 18.77%, respectively. The prevalence, awareness, treatment and control of T2DM displayed increased trends with age (Ptrend < 0.01) and were strongly associated with education, drinking, more vegetable and fruit intake, physical activity, family history of diabetes, body mass index (BMI). The results of this meta-analysis showed that the pooled prevalence, awareness, treatment and control of T2DM in China countryside were 7.3% (5.3–9.4%), 57.3% (36.9–77.6%), 48.4% (32.4–64.5%) and 21.0% (9.9–32.1%), respectively. The prevalence of T2DM was high with inadequate awareness, treatment and control of T2DM in China rural areas. Healthy lifestyles should be advocated to reduce prevalence and improve awareness, treatment, and control of T2DM in Chinese rural residents.

BackgroundThe prevalence of dyslipidemia continue to increase in recent decades in China, however, little is known about the recent prevalence, awareness, treatment, control, and potential risk factors of dyslipidemia in the rural areas of China.MethodsA total of 39,207 participants aged 18–79 years were recruited for the epidemiological research from the Henan Rural Cohort study. The age- and sex-adjusted means (95% confidence intervals, CI) of serum lipid levels or percentages of prevalence, awareness, treatment, and control overall and in various population subgroups were estimated and compared by multiple linear regression or logistic regression. The multivariable logistic regression model was used to explore the associations between the socio-demographic factors and the prevalence, awareness, treatment and control of dyslipidemia.ResultsThe age- and sex-adjusted mean levels (95%CI) of total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) were 4.76(4.75–4.77), 1.68(1.67–1.69),1.33(1.32–1.33), and 2.87 (2.86–2.88) mmol/L, respectively. Overall, the age-standardized prevalence of dyslipidemia was 32.21% (42.85% in men vs. 26.16% in women) in Chinese rural adults, with 5.11, 16.00, 19.27, and 4.76% for high TC, high TG, low HDL-C and high LDL-C, respectively. The age-standardized awareness, treatment and control of dyslipidemia were 15.07, 7.23, and 3.25%, respectively, which were higher in women than men, and increased steeply with age (Ptrend < 0.05). The proportion of prevalence, awareness, treatment, control of dyslipidemia differed significantly among various subpopulations while the awareness, treatment, and control rates were universally low in all subgroups (< 54, 36, and 15%, respectively). Increasing age, men, unhealthy lifestyles, positive family history of dyslipidemia, abnormal weight, type 2 diabetes mellitus and hypertension were independent risk factors of dyslipidemia.ConclusionDyslipidemia was common with unacceptably low awareness, treatment and control rates in rural China. Therefore, effective strategies are necessary for improving the status of the prevention, diagnosis, treatment, control of dyslipidemia in Chinese rural residents.Trial registration ChiCTR-OOC-15006699