scholarly journals Profiling of Airbnb's activities in Ecuador's main cities

Tourism ◽  
2020 ◽  
Vol 68 (4) ◽  
pp. 389-401
Author(s):  
Silvana Astudillo ◽  
Ana Serrano ◽  
Diana López ◽  
Barbara Sofía Pasaco González
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Sharing Economy ◽  
Economy Model ◽  
Clear Image ◽  
Surrogate Variables ◽  
Innovative Products ◽  
Accommodation Sector ◽  
To Come

Airbnb in Ecuador is a platform offering since 2008 a new lodging concept that best can be described as a sharing economy model through the rental of private rooms and apartments. The article provides an overview of Airbnb’s activities in Ecuador, more in particular in 22 cities, respectively the capitals of 22 provinces, using the 16 metrics available on the platform of AirDNA. Factor analysis was applied to reduce the number of variables to three main surrogate variables (lodging typology, prices and rates, market metrics) that characterizes Airbnb and retains the original factor variability. Additionally, based on the occupation frequency of Airbnb’s rental places the cluster analysis permitted to group the cities in which Airbnb is active on the basis of the following indicators: amazon destinations, traditions, sun and beach, nature culture and events, and the country’s capital. The research provided a clear image of Airbnb’s approach and impact on the formal accommodation sector, which ultimately will enable the sector to come up with innovative products to compete more efficiently Airbnb’s market range.

Why Tourists Choose Airbnb: A Motivation-Based Segmentation Study

2017 ◽  
Vol 57 (3) ◽  
pp. 342-359 ◽  
Author(s):  
Daniel Guttentag ◽  
Stephen Smith ◽  
Luke Potwarka ◽  
Mark Havitz
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Online Survey ◽  
Sharing Economy ◽  
Motivating Factors ◽  
The Past

Airbnb has grown very rapidly over the past several years, with millions of tourists having used the service. The purpose of this study was to investigate tourists’ motivations for using Airbnb and to segment them accordingly. The study involved an online survey completed in 2015 by more than 800 tourists who had stayed in Airbnb accommodation during the previous 12 months. Aggregate results indicated that respondents were most strongly attracted to Airbnb by its practical attributes, and somewhat less so by its experiential attributes. An exploratory factor analysis identified five motivating factors—Interaction, Home Benefits, Novelty, Sharing Economy Ethos, and Local Authenticity. A subsequent cluster analysis divided the respondents into five segments—Money Savers, Home Seekers, Collaborative Consumers, Pragmatic Novelty Seekers, and Interactive Novelty Seekers. Profiling of the segments revealed numerous distinctive characteristics. Various practical and conceptual implications of the findings are discussed.

A Digital Economy Model for Talent Prediction Data Analytic

2019 ◽  
Vol 2 (4) ◽  
pp. 260-266
Author(s):  
Haru Purnomo Ipung ◽  
Amin Soetomo
Keyword(s):  
Business Model ◽  
Industrial Revolution ◽  
Technology Innovation ◽  
Cost Effective ◽  
Sharing Economy ◽  
Token Economy ◽  
Economy Model ◽  
New Business ◽  
The Cost ◽  
Data Analytic

This research proposed a model to assist the design of the associated data architecture and data analytic to support talent forecast in the current accelerating changes in economy, industry and business change due to the accelerating pace of technological change. The emerging and re-emerging economy model were available, such as Industrial revolution 4.0, platform economy, sharing economy and token economy. Those were driven by new business model and technology innovation. An increase capability of technology to automate more jobs will cause a shift in talent pool and workforce. New business model emerge as the availabilityand the cost effective emerging technology, and as a result of emerging or re-emerging economic models. Both, new business model and technology innovation, create new jobs and works that have not been existed decades ago. The future workers will be faced by jobs that may not exist today. A dynamics model of inter-correlation of economy, industry, business model and talent forecast were proposed. A collection of literature review were conducted to initially validate the model.

Factor Analysis among the variables relating to purpose of using social media websites and nonacceptance of social media in recruitment

2020 ◽  
pp. 245-248
Keyword(s):  
Social Media ◽  
Factor Analysis ◽  
Social Science Research ◽  
Cost Effective ◽  
Science Research ◽  
Recruitment Strategies ◽  
Job Seeking ◽  
Hiring Process ◽  
To Come ◽  
New Strategies

In the era of Globalization, advancement of technology and stiff competition, particularly, in the I.T. Industry, companies have to adopt new H.R. strategies and practices so as to constantly evolve and grow. In this context, existing recruitment strategies have to be replaced by new strategies. Many companies are now extensively depending on the internet to connect to larger audiences globally. Organizations are in a position to attract profiles, resumes from potential candidates by announcing their vacancies on their own websites. E-recruitment is evoking interest among the companies typically over the last few years. The spread of information technology and growth of Internet has paved way for companies willing to hunt for talent on the job seeking websites. In the years to come, social networking will soon be an indispensable part of the hiring process. It is cost effective, does not require setting up an office and forms an effective tool for recruiters. The main purpose of this study was to understand the application of factor analysis in social science research and to reduce a large number of variables into manageable smaller factors for further analysis of the employers’ perception on social media recruitment with reference to the I.T. Sector in Bangalore.

Multivariate consumption profiling (MCP) for intelligent meter systems: a methodology to define categories and levels

2010 ◽  
Vol 10 (5) ◽  
pp. 710-720 ◽  
Author(s):  
J. L. Solanas ◽  
M. R. Cussó
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Multivariate Analysis ◽  
Discriminant Analysis ◽  
Reference Population ◽  
Statistical Analyses ◽  
Conceptual Schema ◽  
Data Variability ◽  
Water Companies ◽  
Analyse Data

Multivariate Consumption Profiling (MCP) is a methodology to analyse the readings made by Intelligent Meter (IM) systems. Even in advanced water companies with well supported IM, full statistical analyses are not performed, since no efficient methods are available to deal with all the data items. Multivariate Analysis has been proposed as a convenient way to synthesise all IM information. MCP uses Factor Analysis, Cluster Analysis and Discriminant Analysis to analyse data variability by categories and levels, in a cyclical improvement process. MCP obtains a conceptual schema of a reference population on a set of classifying tables, one for each category. These tables are quantitative concepts to evaluate consumption, meter sizing, leakage and undermetering for populations and groupings and individual cases. They give structuring items to enhance “traditional” statistics. All the relevant data from each new meter reading can be matched to the classifying tables. A set of indexes is computed and thresholds are used to select those cases with the desired profiles. The paper gives an example of a MCP conceptual schema for five categories, three variables, and five levels, and obtains its classifying tables. It shows the use of case profiles to implement actions in accordance with the operative objectives.

scholarly journals “Why (Should) I Do Something for the Environment?” Profiles of Flemish Adolescents’ Motivation Toward the Environment

2018 ◽  
Vol 10 (7) ◽  
pp. 2579 ◽  
Author(s):  
Wanda Sass ◽  
Jelle Pauw ◽  
Vincent Donche ◽  
Peter Petegem
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Secondary School ◽  
Secondary School Students ◽  
School Students ◽  
The North ◽  
Dutch Translation ◽  
Confirmatory Factor ◽  
Senior Secondary ◽  
Person Centered Approach

The Motivation Toward the Environment Scale (MTES), developed in Canada, measures people’s self-determined motivation for doing something for the environment. Answering the call by its original developers, this study further validated the MTES within a sample of 779 Dutch-speaking senior secondary school students, aged 17 to 19, in the north of Belgium. More specifically, reliability and construct validity of a Dutch translation of the MTES were verified. To this measure, confirmatory factor analysis was used, and the hypothesized simplex structure was tested through correlation analyses. Results confirmed the reliability of the MTES and a five-scale version of the MTES, excluding identified motivation, is introduced. This variable-centered approach was complemented by the adoption of a person-centered approach for identifying MTES profiles. Using cluster analysis, four meaningful MTES profiles emerged, with amotivation scoring medium to high in all but one. Theoretical implications of the findings and suggestions for interventions and further research are discussed.

scholarly journals استخدام التحليل العنقودي في تحديد المتغيرات المؤثرة على تقييم نمو الاطفال عند مستويات العمرية المختلفة

2016 ◽  
Vol 22 (93) ◽  
pp. 468
Author(s):  
كولالة دلشاد معروف
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis

في ضوء تزايد الاهتمام بتريبة الطفل في دورالحضانة ورياض الاطفال وأهم الخبرات التي يكتسبها الطفل في هذه المرحلة العمرية التي تشكل ركيزة لمراحل نموه الجسمي والعقلي والاجتماعي لاحقاً. وأهمية البحث تكمن في الحاجة لتقييم المتغيرات المؤثرة على نمو الطفل لتهيئة الفرص له للتربية السليمة. ويهدف البحث في تحديد المتغيرات المؤثرة على نمو الاطفال باستخدام التحليل العاملي وتصنيف تلك المتغيرات في عناقيد عند كل مستوى عمري وأبراز دورها المعنوي. ومشكلة البحث في دراسة مدى تأثير المتغيرات المختلفة على نمو الطفل في مستويات العمرية المختلفة في دور الحضانة ورياض الاطفال في مدينة السليمانية  (اقليم كردستان العراق). ويفترض البحث أن هناك مؤشرات للمتغيرات(اعتمد البحث على اسلوب الاستبانة في الحصول على البيانات من دور الحضانة ورياض الاطفال وذلك بتوزيع الاستمارات بشل عشوائي) التي لها علاقة جوهرية على تقييم نمو الطفل عند كل مستوى عمري (على اساس خصائص النمو الحركي, الاجتماع  ,والعقلي والعاطفي ). واعتمد البحث اسلوب التحليل العنقودي (Cluster analysis) كأحدى طرائق تحليل متعدد المتغيرات الذي يتميز بأنه يعمل من اجل التصنيف.  باستخدام الطريقة المركز المتوسط (centroied method) في سبيل تحديد المتغيرات المؤثرة في نمو الاطفال , واستخدام أسلوب التحليل العاملي(factor analysis) للكشف عن المتغيرات ذات الارتباط العالي ولإيجاد العلاقة بين المتغيرات وتفسير النتائج المستخلصة مع كل مستوى عمري. وتوصل البحث إلى إنه عند المستوى العمري(3-4) سنوات كانت متغيرات خصائص النمو الفكري والحركي، العاطفي والاجتماعي قد تشبعت بشكل واضح . والمستوى  العمري (4-5) سنوات ظهرت العديد من المتغيرات المشبعة وهي خصائص النمو الفكري والحركي والنمو العاطفي. وعند المستوى العمري (5-6) سنوات تشبعت عوامل متغيرات خصائص النمو العقلي والحركي. كما ظهر توافق شبه تام عند المستويين العمريين (4-5) و(5-6) بين تشبعات المتغيرات على العوامل مع توافق في نتائج التحليل العنقودي.

Sign in / Sign up

Export Citation Format

Share Document