Panel Analysis of FDI Determinants in Tourism Industry Revisited

2022 ◽  
pp. 101-118
Author(s):  
António Miguel Valente Martins ◽  
Susana Cró
Keyword(s):  
Tourism Industry ◽  
Panel Analysis ◽  
Fdi Determinants

scholarly journals The Profitability of Indian Tourism Sector: A Fixed Model Panel Analysis

2018 ◽  
Vol 5 (01) ◽  
Author(s):  
Purva Kansal ◽  
Arpit Khurana
Keyword(s):  
Industrial Structure ◽  
Negative Relationship ◽  
Fixed Effect Model ◽  
Tourism Industry ◽  
Panel Regression ◽  
Panel Analysis ◽  
Effect Model ◽  
Tourism Sector ◽  
Fixed Model ◽  
And Performance

The current paper tests the applicability of the SCP framework i.e. industrial structure, conduct and performance in the Indian tourism industry. Herfindahl-Hirshman Index was used to understand concentration index for the Indian tourism industry and the structure conduct and performance relationship was tested using fixed effect model for panel regression in Eviews. The data was collected from Prowess for 23 companies in the tourism industry for a period of five years i.e. 2011 to 2015. The results of the study indicated that the Indian tourism industry was highly concentrated between 2011-2015, with a few major players enjoying majority market share, however, in 2015, the indicators pointed towards lower levels of concentration. The panel regression analysis indicated that the SCP paradigm was not supported for Indian tourism industry, though support was found for relationship between conduct and performance. The negative relationship between conduct and performance also indicated that there was a higher expenditure on marketing and advertising in the industry. The results of the study indicated that the industry was not working on IO based structure but rather Efficiency bases model which needed to be studied further.

A managerial perspective on omnichannel e-customer

2020 ◽  
pp. 5-17
Author(s):  
Maria Teresa Cuomo ◽  
Francesca Ceruti ◽  
Alice Mazzucchelli ◽  
Alex Giordano ◽  
Debora Tortora
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Empirical Analysis ◽  
Customer Experience ◽  
Tourism Industry ◽  
Point Of View ◽  
Social Commerce ◽  
Social Dimensions ◽  
Offline Channels ◽  
Managerial Perspective

The actual omnichannel customer uses indifferently both online and offline channels to express himself through consumption, which increasingly blends personal, cultural and social dimensions. In this perspective social media and social networks are able to assist e-retailers in their effort of creating a total e-customer experience, especially in the tourism industry, trying to satisfy their clients from the relational and commercial point of view. By means of an empirical analysis where managers were interviewed on the topic and its degree of application in the firms, the paper underlines how from the managerial point of view, that represents a new prospect on the topic, the expected shift from e-commerce to social commerce paradigm, facilitating the selling and buying of products and services by using various internet features, is nowadays not completely understood and realized.

TOURIST BUSINESS DEVELOPMENT IN UKRAINE

2019 ◽  
pp. 39-46
Author(s):  
Stefania Mosiuk ◽  
Igor Mosiuk ◽  
Vladimir Mosiuk
Keyword(s):  
National Economy ◽  
Methodological Approach ◽  
Business Development ◽  
Tourism Industry ◽  
The State ◽  
Complete Analysis ◽  
Resource Potential ◽  
The World ◽  
Potential Resource ◽  
Favorable Conditions

The purpose of the article is to analyze and substantiate the development of tourism business in Ukraine as a priority component of the national economy. The methodology of this study is to use analytical, spatial, geographical, cultural and other methods. This methodological approach provided an opportunity to carry out a complete analysis of the state of the tourism industry of the state and to draw some conclusions.The scientific novelty lies in the coverage of the real and potential resource potential for the development of the recreational and tourism sphere in Ukraine, detailing the measures for the country ‘s entry into the world tourist market. Conclusions. Analyzing the state and prospects of tourism business development in Ukraine, it should be noted that this industry is one of the priority areas for improving the economy of the country. Historical, cultural – ethnographic, gastronomic, sanatorium and resort potentials of the country will lead the country into world leaders of the tourism industry when creating favorable conditions for investment and proper marketing.

Review on Job Satisfaction, Intention to Leave and Corporate Entrepreneurial Characteristics in United Arab Emirates’ Construction Firms

2017 ◽  
Vol 6 (10) ◽  
pp. 105
Author(s):  
Basma Kashmoola ◽  
Fais Ahmad ◽  
Yeoh Khar Kheng
Keyword(s):  
Job Satisfaction ◽  
United Arab Emirates ◽  
Intent To Leave ◽  
Supply And Demand ◽  
Intention To Leave ◽  
Work Load ◽  
Tourism Industry ◽  
Medium Size ◽  
Construction Companies ◽  
Developed Economies

Recently construction companies and real state of SMEs sector of Dubai, reported that they have a combine shortfall of skilled staff of up to 500,000.  In addition to that, recently tourism industry of UAE, one of the most dominating service sectors also reported the severe shortage of qualified hospitality staffs. The shortage of workforce in the industry is one of the major causes of unfair distribution of work load and also an unjust compensation and reward system in the overall industry.  The supply and demand of workforces is also one of the crucial predictor factors for job satisfaction and may lead to quit their job or to migration.While examining the various factors that may affect employee’s intention to leave, many research findings confirmed that job satisfaction caused the highest variance on to leaving intention.  To get the deeper analysis of the job satisfaction and its impact on employee’s intention to leave, many researchers argued that there were many facets of job satisfaction that may cause the leaving intentions and therefore job satisfaction has been considered a variables composed of multiple factors. It is evident that there are many studies had been conducted to examine the relationship between job satisfaction and employees leaving intentions. However, not many studies on the same line have been fully addressed in small and medium size firms in UAE working setting and also most of the studies sampling strategies had focused in industries in developed economies.  Therefore, it is believed to be a gap in the literature in the context of the job satisfaction and intent to leave in SMEs.

Roulette Wheel Selection based Heuristic Algorithm for the Orienteering Problem

2014 ◽  
Vol 13 (1) ◽  
pp. 4127-4145
Author(s):  
Madhushi Verma ◽  
Mukul Gupta ◽  
Bijeeta Pal ◽  
Prof. K. K. Shukla
Keyword(s):  
Triangle Inequality ◽  
Time Budget ◽  
Control Point ◽  
Hamiltonian Path ◽  
Real Life ◽  
Tourism Industry ◽  
Orienteering Problem ◽  
Complete Graphs ◽  
Roulette Wheel Selection ◽  
Roulette Wheel

Orienteering problem (OP) is an NP-Hard graph problem. The nodes of the graph are associated with scores or rewards and the edges with time delays. The goal is to obtain a Hamiltonian path connecting the two necessary check points, i.e. the source and the target along with a set of control points such that the total collected score is maximized within a specified time limit. OP finds application in several fields like logistics, transportation networks, tourism industry, etc. Most of the existing algorithms for OP can only be applied on complete graphs that satisfy the triangle inequality. Real-life scenario does not guarantee that there exists a direct link between all control point pairs or the triangle inequality is satisfied. To provide a more practical solution, we propose a stochastic greedy algorithm (RWS_OP) that uses the roulette wheel selectionmethod, does not require that the triangle inequality condition is satisfied and is capable of handling both complete as well as incomplete graphs. Based on several experiments on standard benchmark data we show that RWS_OP is faster, more efficient in terms of time budget utilization and achieves a better performance in terms of the total collected score ascompared to a recently reported algorithm for incomplete graphs.

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