scholarly journals The Influence of Geographic and Psychic Distance on Online Hotel Ratings

2019 ◽  
Vol 59 (4) ◽  
pp. 722-741 ◽  
Author(s):  
Paul Phillips ◽  
Nuno Antonio ◽  
Ana de Almeida ◽  
Luís Nunes
Keyword(s):  
Text Mining ◽  
Distance Measure ◽  
Country Of Origin ◽  
Geographic Distance ◽  
Distance Measures ◽  
Review Author ◽  
Psychic Distance ◽  
Rating Score ◽  
Data Set ◽  
The Relationship

This study examines the relationship between distance measures and a Portuguese data set consisting of 34,622 online hotel reviews extracted from Booking.com and TripAdvisor written in Portuguese, Spanish, and English. Based on the country of origin of each review author, a geographic and a psychic distance measure is calculated for Portugal. Data and text mining analysis provides additional insights into online hotel ratings. The authors confirm that online travelers’ evaluations are multifaceted constructs displaying varying patterns of rating behavior among the traveler base. By investigating the contemporary relevance of geographic and psychic distance, a key finding of this study is that travelers with less distance both in terms of psychic and geographic distance give a lower rating score than travelers with greater distance. The inclusion of psychic and geographic distance is advocated as a salient aspect for future researchers and for those practitioners who wish to enhance hotel product and service features.

Techniques for Fast Screening of 3D Heterogeneous Shale Barrier Configurations and Their Impacts on SAGD Chamber Development

SPE Journal ◽  
2021 ◽  
pp. 1-25
Author(s):  
Chang Gao ◽  
Juliana Y. Leung
Keyword(s):  
Distance Measure ◽  
Flow Simulation ◽  
Training Data ◽  
Distance Measures ◽  
Data Driven ◽  
Data Set ◽  
Flow Simulations ◽  
Steam Chamber ◽  
Reservoir Models ◽  
Tracking Model

Summary The steam-assisted gravity drainage (SAGD) recovery process is strongly impacted by the spatial distributions of heterogeneous shale barriers. Though detailed compositional flow simulators are available for SAGD recovery performance evaluation, the simulation process is usually quite computationally demanding, rendering their use over a large number of reservoir models for assessing the impacts of heterogeneity (uncertainties) to be impractical. In recent years, data-driven proxies have been widely proposed to reduce the computational effort; nevertheless, the proxy must be trained using a large data set consisting of many flow simulation cases that are ideally spanning the model parameter spaces. The question remains: is there a more efficient way to screen a large number of heterogeneous SAGD models? Such techniques could help to construct a training data set with less redundancy; they can also be used to quickly identify a subset of heterogeneous models for detailed flow simulation. In this work, we formulated two particular distance measures, flow-based and static-based, to quantify the similarity among a set of 3D heterogeneous SAGD models. First, to formulate the flow-based distance measure, a physics-basedparticle-tracking model is used: Darcy’s law and energy balance are integrated to mimic the steam chamber expansion process; steam particles that are located at the edge of the chamber would release their energy to the surrounding cold bitumen, while detailed fluid displacements are not explicitly simulated. The steam chamber evolution is modeled, and a flow-based distance between two given reservoir models is defined as the difference in their chamber sizes over time. Second, to formulate the static-based distance, the Hausdorff distance (Hausdorff 1914) is used: it is often used in image processing to compare two images according to their corresponding spatial arrangement and shapes of various objects. A suite of 3D models is constructed using representative petrophysical properties and operating constraints extracted from several pads in Suncor Energy’s Firebag project. The computed distance measures are used to partition the models into different groups. To establish a baseline for comparison, flow simulations are performed on these models to predict the actual chamber evolution and production profiles. The grouping results according to the proposed flow- and static-based distance measures match reasonably well to those obtained from detailed flow simulations. Significant improvement in computational efficiency is achieved with the proposed techniques. They can be used to efficiently screen a large number of reservoir models and facilitate the clustering of these models into groups with distinct shale heterogeneity characteristics. It presents a significant potential to be integrated with other data-driven approaches for reducing the computational load typically associated with detailed flow simulations involving multiple heterogeneous reservoir realizations.

The relationship between employment and social networks in the older population

2014 ◽  
Vol 41 (4) ◽  
pp. 321-335 ◽  
Author(s):  
Philip Haynes ◽  
Laura Banks ◽  
Michael Hill
Keyword(s):  
Social Network ◽  
Old Age ◽  
Employment Status ◽  
Country Of Origin ◽  
Great Influence ◽  
Network Activity ◽  
Data Set ◽  
Content Type ◽  
Community Organisation ◽  
The Relationship

Purpose – The purpose of this paper is to examine the relationship between employment and social network membership in a secondary data set of European citizens aged 50-69 years. Design/methodology/approach – A subsample of the International Social Survey Programme (ISSP) covering 13 European countries is analysed. Principal components analysis is used to reduce numerous social network characteristics to core elements than can be compared with country of origin, sex and employment status. A logistic regression is used to determine involvement in a community organisation. The independent variables are country of residence, age, sex and employment status. Findings – Those employed were more likely to participate in a community organisation and to have a greater number of friends. Employment status did not affect the amount of family contact. Being employed was found to increase the chances of an individual being involved in a community organisation, but for many respondents, their country of origin had a great influence on the probability of not being involved. Research limitations/implications – The ISSP provided no data on subjective health status and so it was not possible to control for the influence of poor health on employment and social network status. The limitations of sample weighting are discussed. Practical implications – There is evidence from this research that continued employment in late middle age and early old age increases advantageous social network contacts. Originality/value – This research challenges some previous research that suggested employment in old age might reduce social network activity.

scholarly journals Calibration Approach Product Type Estimators of Population Mean in Stratified Sampling with Single Constraint: A Comparison of Three Distance Measures

2021 ◽  
pp. 41-58
Author(s):  
Enang, Ekaette Inyang ◽  
Ojua, Doris Nkan ◽  
T. T. Ojewale
Keyword(s):  
Distance Measure ◽  
Real Life ◽  
High Gain ◽  
Product Type ◽  
Distance Measures ◽  
Minimum Entropy ◽  
Chi Square ◽  
Data Set ◽  
Population Mean ◽  
Single Constraint

This study employed the method of calibration on product type estimator to propose calibration product type estimators using three distance measures namely; chi-square distance measure, the minimum entropy distance measure and the modified chi-square distance measure for single constraint. The estimators of variances of the proposed estimators were also obtained. An empirical study to ascertain the performance of these estimators was carried out using real life and stimulated data set. The result with the real life data showed that the proposed calibration product type estimator  produced better estimates of the population mean  compared to   and . Results from the simulation study showed that the proposed calibration product type estimators had a high gain in efficiency as compared to the product type estimator. The simulation result also showed that the proposed estimators were more consistent and reliable under the Gamma and Exponential distributions with the exponential distribution taking the lead. The conventional product type estimator however was found to be better if the underlying distributional assumption is normal in nature.

The World Is Flatter? Examining the Relationship between Cultural Distance and International Tourist Flows

2018 ◽  
Vol 58 (2) ◽  
pp. 224-240 ◽  
Author(s):  
Yang Yang ◽  
Hongbo Liu ◽  
Xiang (Robert) Li
Keyword(s):  
Distance Measure ◽  
Cultural Distance ◽  
Geographic Distance ◽  
Gravity Models ◽  
Technology Advancement ◽  
International Tourist ◽  
Tourist Flows ◽  
The World ◽  
Tourism Flows ◽  
The Relationship

Geographic distance has been studied extensively as an obstructer of tourism flows, whereas another distance measure, cultural distance (CD), receives less attention in tourism demand research. Using international tourist arrival data between 94 countries for the period 1995–2012, we estimate several Poisson gravity models incorporating a CD measure based on national cultural scores from the World Values Survey (WVS). Our estimation results show a negative and significant effect of CD on international tourist flows, the elasticity of which is –0.158, and the effect appears significantly smaller between countries with historical colonial linkage. Most notably, the tourism-inhibiting effect of CD began a downward trend in 2003. In particular, we find that economic globalization and technology advancement can be used to explain the declining effect of CD. Major conclusions are substantiated in a robustness check using two alternative CD measures.

scholarly journals An innovative picture fuzzy distance measure and novel multi-attribute decision-making method

2021 ◽  
Author(s):  
Abdul Haseeb Ganie ◽  
Surender Singh
Keyword(s):  
Decision Making ◽  
Fuzzy Sets ◽  
Distance Measure ◽  
Real Data ◽  
Distance Measures ◽  
Classification Problems ◽  
Data Set ◽  
The Real ◽  
Picture Fuzzy Set ◽  
Multi Attribute Decision Making

AbstractPicture fuzzy set (PFS) is a direct generalization of the fuzzy sets (FSs) and intuitionistic fuzzy sets (IFSs). The concept of PFS is suitable to model the situations that involve more answers of the type yes, no, abstain, and refuse. In this study, we introduce a novel picture fuzzy (PF) distance measure on the basis of direct operation on the functions of membership, non-membership, neutrality, refusal, and the upper bound of the function of membership of two PFSs. We contrast the proposed PF distance measure with the existing PF distance measures and discuss the advantages in the pattern classification problems. The application of fuzzy and non-standard fuzzy models in the real data is very challenging as real data is always found in crisp form. Here, we also derive some conversion formulae to apply proposed method in the real data set. Moreover, we introduce a new multi-attribute decision-making (MADM) method using the proposed PF distance measure. In addition, we justify necessity of the newly proposed MADM method using appropriate counterintuitive examples. Finally, we contrast the performance of the proposed MADM method with the classical MADM methods in the PF environment.

ENTREPRENEUR'S ACTUAL BEHAVIORAL CONTROLS, PSYCHIC DISTANCE STIMULI, AND EXPORT MODE CHOICE

2015 ◽  
Vol 20 (02) ◽  
pp. 1550013 ◽  
Author(s):  
NGO VI DUNG ◽  
FRANK JANSSEN
Keyword(s):  
Mode Choice ◽  
Geographic Distance ◽  
Organizational Factors ◽  
Mediating Effect ◽  
Psychic Distance ◽  
The Relationship ◽  
Moderating Role

This paper looks at the mediating effect of entrepreneurs' actual behavioral controls on the relationship between psychic distance stimuli and export mode choice of SMEs. Based on a dataset of 84 Vietnamese exporters, we find that: (i) entrepreneurs' actual behavioral controls and organizational factors are determinants of Vietnamese SMEs' export mode choice; (ii) psychic distance (geographic distance and psychic distance stimuli) does not influence Vietnamese SMEs' export mode choice; (iii) entrepreneurs' actual behavioral controls do not play the mediating or moderating role in the relationship between psychic distance and Vietnamese SMEs' export mode choice.

The role of psychic distance in international trade: a longitudinal analysis

2014 ◽  
Vol 31 (3) ◽  
pp. 210-236 ◽  
Author(s):  
Lars Håkanson
Keyword(s):  
International Trade ◽  
Structural Equation ◽  
Information Technologies ◽  
Geographic Distance ◽  
Distance Measures ◽  
Equation Modeling ◽  
Psychic Distance ◽  
Content Type ◽  
Goods And Services ◽  
The Impact

Purpose – The purpose of this paper is to explore the importance to international trade of impediments related to, first, geographic distance, such as freight and other costs related to the movement of physical goods, and second, “psychic distance”, such as the costs and difficulties of transferring and interpreting the information necessary to effect international transactions. Design/methodology/approach – The paper highlights that psychic distance perceptions between countries are not symmetric and that both exporters’ and importers’ perceptions are important. The empirical analysis covers international trade in three categories of goods among 25 major trading nations for the period 1962-2008, employing structural equation modeling, incorporating the mutual interdependence of the distance measures. Findings – Exporters’ perceptions are more important for trade in differentiated products than for standardized goods, which conversely are more strongly influenced by those of importers. Over time, the impact of both types of psychic distance has declined due to the dramatic improvements in communication and information technologies of recent decades. International markets have thereby become increasingly transparent, facilitating the matching of geographically proximate buyers and sellers in order to minimize transportation costs. These changes fundamentally affect the competitive landscape both for firms that seek to market their goods and services internationally and for domestic firms that face new and more intense competition from foreign rivals. Originality/value – The paper employs simultaneously a statistical methodology novel to the field and – for the first time in the literature – asymmetric measures of psychic distances as perceived by importers and exporters, respectively. Applying the methodology to different categories of goods demonstrates long-term trends in the differential impact of geographic and psychic distances.

scholarly journals Demand-Driven Spreading Patterns of African Swine Fever in China

2021 ◽  
Author(s):  
Jiannan Yang ◽  
Kaichen Tang ◽  
Zhidong Cao ◽  
Dirk Pfeiffer ◽  
Kang Zhao ◽  
...  
Keyword(s):  
Social Impact ◽  
Distance Measure ◽  
Geographic Distance ◽  
African Swine Fever ◽  
Economic Loss ◽  
Viral Disease ◽  
Distance Measures ◽  
Distribution Centers ◽  
Individual Level ◽  
The Individual

Abstract African Swine Fever (ASF) is a highly contagious hemorrhagic viral disease of domestic and wild pigs. ASF has led to huge economic loss and social impact worldwide. The biological mechanism of ASF’s infections is still not fully understood, and the lack of preventative options at the individual level further complicates this major global health challenge. In this paper, we propose a novel method to model the spread of ASF in China by integrating the data of pork import/export, transportation networks, and port distribution centers. We first empirically analyze the overall patterns of ASF spread and performs extensive experiments to evaluate the efficacy of a number of distance measures. These empirical analyses show that the arrival of ASF is not purely based on the geographic distance from existing infected regions. The pork supply-demand patterns have clearly influenced the spread of ASF, which cannot be well explained by conventional geographical distance and the recent effective distance methods. Predictions based on the new distance measure achieve better performance in predicting the disease spreading among Chinese provinces and thus have the potential to enable more proactive and accurate deployment of interventions.

Investigating Diseases and Chemicals in COVID-19 Literature with Text Mining (Preprint)

2020 ◽  
Author(s):  
Amir Karami ◽  
Brandon Bookstaver ◽  
Melissa Nolan
Keyword(s):  
Text Mining ◽  
Literature Review ◽  
Topic Modeling ◽  
Large Scale ◽  
Clinical Manifestations ◽  
International Health ◽  
Research Papers ◽  
Strategic Plans ◽  
Funding Agencies ◽  
The Relationship

BACKGROUND The COVID-19 pandemic has impacted nearly all aspects of life and has posed significant threats to international health and the economy. Given the rapidly unfolding nature of the current pandemic, there is an urgent need to streamline literature synthesis of the growing scientific research to elucidate targeted solutions. While traditional systematic literature review studies provide valuable insights, these studies have restrictions, including analyzing a limited number of papers, having various biases, being time-consuming and labor-intensive, focusing on a few topics, incapable of trend analysis, and lack of data-driven tools. OBJECTIVE This study fills the mentioned restrictions in the literature and practice by analyzing two biomedical concepts, clinical manifestations of disease and therapeutic chemical compounds, with text mining methods in a corpus containing COVID-19 research papers and find associations between the two biomedical concepts. METHODS This research has collected papers representing COVID-19 pre-prints and peer-reviewed research published in 2020. We used frequency analysis to find highly frequent manifestations and therapeutic chemicals, representing the importance of the two biomedical concepts. This study also applied topic modeling to find the relationship between the two biomedical concepts. RESULTS We analyzed 9,298 research papers published through May 5, 2020 and found 3,645 disease-related and 2,434 chemical-related articles. The most frequent clinical manifestations of disease terminology included COVID-19, SARS, cancer, pneumonia, fever, and cough. The most frequent chemical-related terminology included Lopinavir, Ritonavir, Oxygen, Chloroquine, Remdesivir, and water. Topic modeling provided 25 categories showing relationships between our two overarching categories. These categories represent statistically significant associations between multiple aspects of each category, some connections of which were novel and not previously identified by the scientific community. CONCLUSIONS Appreciation of this context is vital due to the lack of a systematic large-scale literature review survey and the importance of fast literature review during the current COVID-19 pandemic for developing treatments. This study is beneficial to researchers for obtaining a macro-level picture of literature, to educators for knowing the scope of literature, to journals for exploring most discussed disease symptoms and pharmaceutical targets, and to policymakers and funding agencies for creating scientific strategic plans regarding COVID-19.

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