Multiple Tour Guide Recommendation for the Sharing Economy

2021 ◽  
Author(s):  
Rikuya Yamamoto ◽  
Yuanyuan Wang ◽  
Masatohi Shibata ◽  
Panote Siriaraya ◽  
Yukiko Kawai
Keyword(s):  
Sharing Economy ◽  
Tour Guide

scholarly journals A Profile-Based Approach to Understanding Social Exchange: Authentic Tour-Guiding in the Sharing Economy

2021 ◽  
pp. 004728752110626
Author(s):  
Endrit Kromidha ◽  
Martin Gannon ◽  
Babak Taheri
Keyword(s):  
Social Exchange ◽  
Ad Hoc ◽  
Inductive Reasoning ◽  
Sharing Economy ◽  
Tourism Industry ◽  
Tour Guide ◽  
Social Exchanges ◽  
Travel And Tourism ◽  
Tour Guides ◽  
Tourism Service

Authenticity in travel and tourism research is often explored at the tangible-existential nexus. However, the collaborative forces embedded within digital sharing economy platforms draw attention to how the promise of social exchange can stimulate authentic consumption. The role of tour guides has evolved accordingly, from professional designation to self-acquired identity enacted ad-hoc. This study therefore applies a deductive-inductive approach—investigating over 100,000 tour guide profiles on the digital sharing economy platform showaround.com —to frame authenticity as the diverse manifestation of promised social exchanges. Combining automated qualitative analysis for large datasets with manual inductive reasoning, the findings identify four types of authenticity demonstrated within sharing economy tour guide profiles: situational, natural, personal, and positional. Doing so extends established understanding of tangible-existential and sincere-trustworthy tourism industry authenticity by capturing social exchanges in dynamic contexts; acknowledging the diverse nature of the promise of authentic tourism service delivery and consumption therein.

Sharing Economy Questionnaire

2019 ◽  
Author(s):  
Hanna Lee ◽  
Sung-Byung Yang ◽  
Chulmo Koob
Keyword(s):  
Sharing Economy

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.

Geschäftsmodelle der Sharing Economy und Marktpotenziale für Medienunternehmen

2014 ◽  
Vol 11 (1) ◽  
pp. 32-34
Author(s):  
Kristina Müller ◽  
Antonia Schubert
Keyword(s):  
Sharing Economy

Airbnb, Car2Go, Couchsurfing – die Sharing Economy gilt derzeit als Trendthema für Wirtschaft, Politik und Ökologie. Im Auftrag einer großen deutschen Mediengruppe und weil das Phänomen wissenschaftlich bislang kaum untersucht wurde, hat das InnoLab der Hamburg Media School die Anbieter, Branchen und Geschäftsmodelle der Sharing Economy evaluiert. Auf Basis von eigens erhobenen Daten, Experteninterviews und Fokusgruppenbefragungen wurden Monetarisierungsstrategien bewertet, Erfolgsfaktoren bestimmt und Handlungsempfehlungen für Anbieter herausgearbeitet. Die Autorinnen danken Prof. Dr. Armin Rott, Nick Sohnemann, Andreas Wrede und Marcel Garz (alle InnoLab/Hamburg Media School) für die Unterstützung der Studie.

Tourism and the Sharing Economy

10.1596/30452 ◽  
2018 ◽  
Author(s):  
Martine Bakker ◽  
Louise Twining-Ward
Keyword(s):  
Sharing Economy

Principles for sharing economy formation in the digital society

2020 ◽  
Vol 16 (5) ◽  
pp. 800-821
Author(s):  
E.V. Popov ◽  
K.A. Semyachkov
Keyword(s):  
Network Effects ◽  
Sharing Economy ◽  
Network Effect ◽  
Industrial Society ◽  
Economic Activities ◽  
Digital Platforms ◽  
Digital Society ◽  
Modern Economy ◽  
Characteristic Features ◽  
The Impact

Subject. The article addresses economic relations that are formed in various areas of economic application of digital platforms. The target of the research is the modern economy of digital platforms across different economic activities. Objectives. The aim is to systematize principles for share economy formation in the context of the digital society development. Methods. We employ general scientific methods of research. Results. The study shows that the development of digital platforms is one of the most important trends in the development of the modern economy. We classified certain characteristic features of modern digital platforms, analyzed principles for their creation. The paper emphasizes that the network effects achieved through the use of digital platforms are an important factor in the development of the share economy. The network effect describes the impact of the number of the platform users on the value created for each of them. The paper also considers differences in the organization of traditional economy companies and companies that are based on the digital platform model, reveals specifics of changes in socio-economic systems caused by the development of digital platforms, systematizes principles of the sharing economy formation in the context of the digital society development. Conclusions. The analyzed principles for sharing economy development on the basis of digital platforms can be applied to create models for the purpose of forecasting the transformation of economic activity in the post-industrial society.

Photovoice Implementation in Teaching English Guiding at English Study Program College of Foreign Language (STIBA) Saraswati Denpasar

2018 ◽  
Vol 1 (2) ◽  
pp. 86-95
Author(s):  
Gusti Ayu Putri
Keyword(s):  
Oral Communication ◽  
Teaching English ◽  
Study Program ◽  
Tour Guide ◽  
Speaking Assessment ◽  
Post Test ◽  
Qualitative Descriptive ◽  
Speaking Skill ◽  
The Mean ◽  
Teaching Learning

Guiding is a branch of oral communication. In oral communication, guiding can be included as productive skill. English guiding is one of the academic lessons in the fourth semester. Being a tour guide is a very important job in tourism part. In many cases, the tour guide is a traveller's first impression of a foreign country. In other cases a tour guide may be responsible for teaching tourists about the culture and sites in a city or town. Improving students’ communicative skill is the goal of teaching English guiding, because the student can express themselves and know how to use language well. In the real situation in teaching guide process, lecturer cannot escape from reality. It occurs because there are some problems faced by the lecture and the student. The lecturer cannot make student pay attention; make the students’ lack of creativity in making interactive guiding topics, and engagement in whole teaching learning process. This research applied photovoice as a technique to increase the student’s ability in speaking English guiding. Photovoice is suitable technique in teaching speaking skill in English guiding because it gives student chance to communicate with different context and different social by photo as a learning media. This reviews were taken from Beverly Palibroda (2009) Photovoice implementation and Speaking Assessment from Brown Lavinson (2004). This research was conducted by three cycles such as: pre-test, cycle I and cycle II. In composing this research the writer used qualitative descriptive method by classroom action research (CAR).             The result of this research showed that the mean score in pre-test before implementing Photovoice clearly showed that the ability of the subject under study was relatively “ fairly satisfactory ” in the level of mastery of speaking rubric. There were increasing in cycle I after implementing Photovoice technique. The result of the data analysis of the reflection score in cycle I showed increasing the mean score of 7.11 It was higher than the result of pre-test. In the cycle II, which the treatment was more intensive in order of weakness of the students had been known. The result of the data anaysis of reflection or post-test in cycle II that the mean score was 8.18. The different between mean score in cycle I and II was 1.07. It showed that the student’s speaking guiding ability improved after the researcher applied the photovoice thecnique to the students.  

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