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"Kim, Young Dae"
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The effect of hedonic and utilitarian values on satisfaction and loyalty of Airbnb users
Purpose
The purpose of this study was to identify the relationship between customer values, satisfaction and loyalty in the context of Airbnb.
Design/methodology/approach
The survey questionnaires were developed based upon review of previous studies. The samples were collected from US- based Airbnb users. The data were analyzed using structural equation modeling.
Findings
The result of this study indicates that first, Airbnb users’ hedonic value has a positive impact on satisfaction and loyalty, while utilitarian value influences only on satisfaction. Second, this study also shows that product involvement plays as a moderating role in the paths between hedonic value and customer satisfaction.
Research limitations/implications
Study findings may help researchers understand the roles of hedonic and utilitarian values and their impacts on satisfaction and loyalty in the context of Airbnb. This study also contributes to Airbnb marketers in fulfilling users’ expectations about the company.
Originality/value
This research contributes to the hospitality literature by expanding the realm of research on Airbnb, which is a unique company applying the sharing economy concept in the lodging industry.
Journal Article
Interleukin-2 induces the in vitro maturation of human pluripotent stem cell-derived intestinal organoids
Human pluripotent stem cell (hPSC)-derived intestinal organoids (hIOs) form 3D structures organized into crypt and villus domains, making them an excellent in vitro model system for studying human intestinal development and disease. However, hPSC-derived hIOs still require in vivo maturation to fully recapitulate adult intestine, with the mechanism of maturation remaining elusive. Here, we show that the co-culture with human T lymphocytes induce the in vitro maturation of hIOs, and identify STAT3-activating interleukin-2 (IL-2) as the major factor inducing maturation. hIOs exposed to IL-2 closely mimic the adult intestinal epithelium and have comparable expression levels of mature intestinal markers, as well as increased intestine-specific functional activities. Even after in vivo engraftment, in vitro-matured hIOs retain their maturation status. The results of our study demonstrate that STAT3 signaling can induce the maturation of hIOs in vitro, thereby circumventing the need for animal models and in vivo maturation.
Human pluripotent stem cell-derived intestinal organoids (hIOs) are a useful model with which to study intestinal development and disease, but they require in vivo maturation to resemble adult tissue. Here, the authors show that T lymphocyte-derived IL-2 induces hIO maturation in vitro through the activation of STAT3.
Journal Article
Swiprosin-1 Is a Novel Actin Bundling Protein That Regulates Cell Spreading and Migration
Protein functions are often revealed by their localization to specialized cellular sites. Recent reports demonstrated that swiprosin-1 is found together with actin and actin-binding proteins in the cytoskeleton fraction of human mast cells and NK-like cells. However, direct evidence of whether swiprosin-1 regulates actin dynamics is currently lacking. We found that swiprosin-1 localizes to microvilli-like membrane protrusions and lamellipodia and exhibits actin-binding activity. Overexpression of swiprosin-1 enhanced lamellipodia formation and cell spreading. In contrast, swiprosin-1 knockdown showed reduced cell spreading and migration. Swiprosin-1 induced actin bundling in the presence of Ca(2+), and deletion of the EF-hand motifs partially reduced bundling activity. Swiprosin-1 dimerized in the presence of Ca(2+) via its coiled-coil domain, and a lysine (Lys)-rich region in the coiled-coil domain was essential for regulation of actin bundling. Consistent with these observations, mutations of the EF-hand motifs and coiled-coil region significantly reduced cell spreading and lamellipodia formation. We provide new evidence of how swiprosin-1 influences cytoskeleton reorganization and cell spreading.
Journal Article
An Internet of Vehicles (IoV) Access Gateway Design Considering the Efficiency of the In-Vehicle Ethernet Backbone
A vehicular network is composed of an in-vehicle network (IVN) and Internet of Vehicles (IoV). IVN exchanges information among in-vehicle devices. IoV constructs Vehicle-to-X (V2X) networks outside vehicles and exchanges information among V2X elements. These days, in-vehicle devices that require high bandwidth is increased for autonomous driving services. Thus, the spread of data for vehicles is exploding. This kind of data is exchanged through IoV. Even if the Ethernet backbone of IVN carries a lot of data in the vehicle, the explosive increase in data from outside the vehicle can affect the backbone. That is, the transmission efficiency of the IVN backbone will be reduced due to excessive data traffic. In addition, when IVN data traffic is transmitted to IoV without considering IoV network conditions, the transmission efficiency of IoV is also reduced. Therefore, in this paper, we propose an IoV access gateway to controls the incoming data traffic to the IVN backbone and the outgoing data traffic to the IoV in the network environment where IVN and IoV are integrated. Computer simulations are used to evaluate the performance of the proposed system, and the proposed system shows better performance in the accumulated average transmission delay.
Journal Article
Sustainable Agritourism for Farm Profitability: Comprehensive Evaluation of Visitors’ Intrinsic Motivation, Environmental Behavior, and Satisfaction
Unstable farm income and the desire to diversify revenue sources have increased the significance of agritourism as an alternative economic opportunity for farmers and ranchers. Agritourism integrates the top economic drivers—agriculture and tourism—and has been identified as a highly effective complementary business for farmers to generate additional income and mitigate the financial uncertainties associated with traditional farming enterprises. Visitors’ satisfaction is critical for operating a successful agritourism business, as it influences destination choice, consumption of products and services, and the decision to return. This study examined the relationship between agritourism visitors’ intrinsic motivation, environmental behavior, satisfaction, and intentions to revisit and recommend. With a total of 615 survey responses, the study reveals a significant relationship between agritourism visitors’ intrinsic motivation, environmental behavior, and satisfaction related to destination, risk, and food attributes. Furthermore, visitors’ overall satisfaction with these three attributes significantly influences their intentions to revisit and recommend the destination. The findings of this study will enable agritourism operators and policymakers to formulate appropriate policies for the sustainable development of this sector. Future promotional and educational tools could be developed based on these findings.
Journal Article
Prevalence, predictors, and prognosis of tricuspid regurgitation following permanent pacemaker implantation
This study aimed to investigate the prevalence and clinical significance of lead-related tricuspid regurgitation (TR) in patients with permanent pacemaker (PM). A total of 2,533 patients who underwent permanent PM implantation between January 2008 and December 2017 in a single center were retrospectively reviewed. Among them, 429 patients who underwent transthoracic echocardiography within 90 days before implantation and were followed up at least 3 months after PM implantation were included. Patients who had pre-existing grade 3 or 4 TR, had a single atrial lead, or had undergone tricuspid valve surgery before PM implantation were excluded. Occurrence of PM-related TR (PMTR) was defined as worsening of TR by at least 2 grades on follow-up echocardiography. Cardiovascular outcomes were defined as the composite of cardiovascular death and hospitalization for heart failure. During the median follow-up of 855 days, 42 (9.8%) patients had PMTR and 86 (20.0%) presented with cardiovascular outcomes. In the multivariate logistic regression analysis, the presence of atrial fibrillation (hazard ratio [HR]: 2.07, 95% confidence interval [CI]: 1.27-4.09, p = 0.037]) and history of open-heart surgery (HR: 3.34, 95% CI: 1.68-6.68, p<0.001) were independently associated with PMTR. Patients with PMTR showed significantly higher cardiovascular events than those without (45.2 vs. 17.3%, log-rank p<0.001). Furthermore, PMTR was independently associated with the primary outcome (HR: 2.45, 95% CI: 1.43-4.22, p = 0.001). In conclusion, the occurrence of TR in patients with permanent PM is not uncommon. PMTR is associated with atrial fibrillation, the history of open-heart surgery, and poorer cardiovascular outcomes.
Journal Article
Pseudo-Labeling and Time-Series Data Analysis Model for Device Status Diagnostics in Smart Agriculture
This study proposes an automated data-labeling model that combines a pseudo-labeling algorithm with waveform segmentation based on Long Short-Term Memory (LSTM) to effectively label time-series data in smart agriculture. This model aims to address the inefficiency of manual labeling for large-scale data generated by agricultural systems, enhancing the performance and scalability of predictive models. Our proposed method leverages key features of time-series data to automatically generate labels for new data, thereby improving model accuracy and streamlining data processing. By automating the labeling process, we reduce dependence on manual labeling, which is often labor-intensive and prone to errors in large datasets. This approach enables the efficient preparation of labeled data for applications such as anomaly detection, pattern recognition, and predictive modeling in smart agriculture. Experimental results demonstrate that the automated labeling model achieves 89% accuracy in agricultural environments and reduces data processing time by 30%. Future research will focus on extending the model’s applicability to diverse agricultural settings, enhancing generalization performance, and improving real-time processing capabilities, thereby advancing intelligent and sustainable smart agriculture systems.
Journal Article
Anti-metastatic effect of metformin via repression of interleukin 6-induced epithelial–mesenchymal transition in human colon cancer cells
Metformin, a first-line drug used to treat type 2 diabetes, has also been shown to have anticancer effects against a variety of malignancies, including colorectal cancer. Although inhibition of the mTOR pathway is known to be the most important mechanism for the antitumor effects of metformin, other mechanisms remain unclear. The purpose of this study was to identify the antitumor mechanism of metformin in colorectal cancer using high-throughput data, and then test the mechanism experimentally. We identified the gene signature of metformin-treated colon cancer cells. This signature was processed for prediction using colon adenocarcinoma patient data from the Cancer Genome Atlas to classify the patients showing a gene expression pattern similar to that in metformin-treated cells. This patient group showed better overall and disease-free survival. Furthermore, pathway analysis revealed that the metformin-predicted group was characterized by decreased interleukin (IL)-6 pathway signaling, epithelial-mesenchymal transition, and colon cancer metastatic signaling. We induced epithelial-mesenchymal transition in colon cancer cell lines via IL-6 treatment, which increased cell motility and promoted invasion. However, these effects were blocked by metformin. These findings suggest that blockade of IL-6-induced epithelial-mesenchymal transition is an antitumor mechanism of metformin.
Journal Article
The decision tree for longer-stay hotel guest: the relationship between hotel booking determinants and geographical distance
Purpose
Using the decision tree model, this study aims to understand the online travelers booking behaviors on Expedia.com, by examining influential determinants of online hotel booking, especially for longer-stay travelers. The geographical distance is also considered in understanding the booking behaviors trisecting travel destinations (i.e. Americas, Europe and Asia).
Design/methodology/approach
The data were obtained from American Statistical Association DataFest and Expedia.com. Based on the US travelers who made hotel reservation on the website, the study used a machine learning algorithm, decision tree, to analyze the influential determinants on hotel booking considering the geographical distance between origin and destination.
Findings
The results of the findings demonstrate that the choice of package product is the prioritized determinant for longer-stay hotel guests. Several similarities and differences were found from the significant determinants of the decision tree, in accordance with the geographic distance among the Americas, Europe and Asia.
Research limitations/implications
This paper presents the extension to an existing machine learning environment, and especially to the decision tree model. The findings are anticipated to expand the understanding of online hotel booking and apprehend the influential determinants toward consumers’ decision-making process regarding the relationship between geographical distance and traveler’s hotel staying duration.
Originality/value
This research brings a meaningful understanding of the hospitality and tourism industry, especially to the realm of machine learning adapted to an online booking website. It provides a unique approach to comprehend and forecast consumer behavior with data mining.
Journal Article