scholarly journals Internet Benefits and Digital Transformation Applying in Boosting Tourism Sector and Forecasting Tourism Management Revenue

Webology ◽  
2021 ◽  
Vol 18 (Special Issue 04) ◽  
pp. 489-500
Author(s):  
Phan Anh ◽  
Dinh Tran Ngoc Huy
Keyword(s):  
Value Chain ◽  
Smart Cities ◽  
Development Trend ◽  
Computer Skills ◽  
Tourism Industry ◽  
Digital Transformation ◽  
Economic Sectors ◽  
Working At Home ◽  
Current Context ◽  
Tourism Revenue

In recent years, esp. during covid 19 pandemic, there is increasing need of working at home model with computer skills, and in the scope of this study we will mention roles of computer skills and digital transformation which apply to forecast of tourism revenue. Among economic sectors, tourism is a very important industry that contributes greatly to GDP growth of the country in the current context. Forecasting tourism revenue is very important to have reasonable policies or decisions at the macro level. In fact, in this period, with new concepts of smart cities and smart communities, we experienced IoTs (internet of things) roles in developing and promoting our local and community tourism services very much. In the current context, digital transformation is an inevitable development trend. Currently, businesses that do not follow this trend will not be able to access new achievements and advancements and will find it difficult to participate in the new value chain that digital transformation brings. The article uses the method of analyzing and forecasting tourism industry revenue. This paper proposes a solution to apply an analysis and forecasting method through linear regression to forecast tourism revenue. To implement this method, the article collects and analyzes data, thereby proposing solutions to promote socio-economic development and tourism industry. The research results will play an important role, helping policymakers to be proactive in making necessary plans and decisions for business, investment, and promotion processes of travel to increase revenue, etc.

Consumer Shopping Orientation and Intention to Book a Hotel: the Moderating Role of Sustainable Initiatives

2020 ◽  
Vol 11 (1) ◽  
pp. 81-81
Author(s):  
Christina Appiah-Nimo ◽  
Gloria K.Q. Agyapong ◽  
Daniel Ofori
Keyword(s):  
Value Chain ◽  
Sustainable Consumption ◽  
Tourism Industry ◽  
Consumption Pattern ◽  
Economic Sectors ◽  
Shopping Orientation ◽  
Sustainable Value ◽  
Hospitality Sector ◽  
Cognitive Decision ◽  
Business Approach

UN sustainable development goals has triggered production and consumption patterns aimed at achieving a better and more sustainable future for all by 2030. Sustainable value chain has become a business approach to mitigate the tragedy of the commons. Initiatives that promote socially and environmentally responsible behavior whiles pursuing business value is being leveraged across all economic sectors. COVID-19 has exposed how today's business is threatened more than ever by unsustainable production and consumer behavior patterns. The hospitality sector has not been left out of this challenge as the tourism industry was the worst hit by this pandemic. All over the world, the growth of the tourism industry is propelled by the movement of people and the subsequent need created for the hospitality sector. The global health crises, coupled with consumers' growing interest for sustainable environment has fueled the desire for more eco-friendly products by the sector. Moreover, every consumer goes through a cognitive decision-making process to finally make a choice for a product - and there is a high probability of the decision to inform the sustainable consumption pattern of the consumer and also the magnitude of the effect the decision will have on the environment. This implies that every consumer purchase has implications regarding not only economics (Stone, 1954) but ethics and sustainability. Keywords: consumer booking intention, shopping orientation, sustainable initiatives

scholarly journals Visit Nepal Year 2020: Some Imperatives

2019 ◽  
Vol 1 (1) ◽  
pp. 94-108
Author(s):  
Rashmi Pandey ◽  
Rebat Kumar Dhakal
Keyword(s):  
Tourism Development ◽  
Development Trend ◽  
Tourism Industry ◽  
Economic Sectors ◽  
Future Directions ◽  
Call To Action ◽  
The Future

Tourism is one of the fastest-growing socio-economic sectors of our times. It is also one of the linchpins of Nepalese economy. The purpose of this paper is to overview the tourism development trend in general, and Visit Nepal 2020 in particular, and discuss some ideas which are helpful in addressing current needs of tourism development in Nepal, and also serving as an asset base for future interventions. In this paper, we first analyse the tourism development trend, both global and national, to present the tourism scenario we have thus far created, and, setting aside the preparations done so far for undertaking soon-to-be-launched Visit Nepal year, discuss a few management thoughts which have strategic importance in making the tourism year more effective. This call-to-action paper offers a range of last-minute pointers for tourism policymakers and practitioners, in the context of effecting Visit Nepal 2020, that are more likely to impact and, to some extent, guide the future directions of the tourism industry in Nepal.

A Macroeconomic Analysis of Agricultural Sector in Nigeria

2019 ◽  
Vol 5 (1) ◽  
pp. 18-25
Author(s):  
Isah Funtua Abubakar ◽  
Umar Bambale Ibrahim
Keyword(s):  
Value Chain ◽  
Crop Production ◽  
Agricultural Sector ◽  
Time Series Data ◽  
Tourism Industry ◽  
Series Data ◽  
Size Analysis ◽  
The Real ◽  
Real Gdp ◽  
The Impact

This paper attempts to study the Nigerian agriculture industry as a panacea to growth as well as an anchor to the diversification agenda of the present government. To do this, the time series data of the four agriculture subsectors of crop production, livestock, forestry and fishery were analysed as stimulus to the Real GDP from 1981-2016 in order to explicate the individual contributions of the subsectors to the RGDP in order to guide the policy thrust on diversification. Using the Johansen approach to cointegration, all the variables were found to be cointegrated. With the exception of the forestry subsector, all the three subsectors were seen to have impacted on the real GDP at varying degrees during the time under review. The crop production subsector has the highest impact, however, taking size-by-size analysis, the livestock subsector could be of much importance due to its ability to retain its value chain and high investment returns particularly in poultry. Therefore, it is recommended that, the government should intensify efforts to retain the value chain in the crop production subsector, in order to harness its potentials optimally through the encouragement of the establishment of agriculture cottage industries. Secondly, the livestock subsector is found to be the most rapidly growing and commercialized subsector. Therefore, it should be the prime subsector to hinge the diversification agenda naturally. Lastly, the tourism industry which is a source through which the impact of the subsector is channeled to the GDP should be developed, in order to improve the impact of such channel to GDP with the sole objective to resuscitate the forestry subsector.

Global Value Chain Data for Mexico in the Automotive and Electronics Sectors

2021 ◽  
Author(s):  
Mirjana Stankovic ◽  
Agustín Ignacio Filippo
Keyword(s):  
Data Protection ◽  
Value Chain ◽  
Digital Transformation ◽  
Global Perspective ◽  
High Tech ◽  
Global Value Chain ◽  
Current Position ◽  
Data Framework ◽  
Harvest Data ◽  
Data Transfers

This report uses the Global Value Chain (GVC) data framework to provide scoping review and analysis of Mexico's current position and potential for using and harvesting GVC data in the automotive and electronics sectors. By conducting the study on GVCs data, we hope to broaden the understanding of the importance of data transfers for GVCs, production, and trade, underlining that data are critical to all companies and not only to the so-called "high-tech companies." Data protection, sharing, and security are also central to manufacturers in the automotive and electronics sectors. This report will review how datafication, data protection, sharing, and security impact Mexico's automotive and electronics industry. This information is analyzed from a global perspective and the viewpoint of Mexico to provide a holistic picture of the situation when identifying trajectories for entry, growth, and upgrading along GVCs that rely on datafication and digital transformation. It will also offer recommendations for regulators and policymakers on how to facilitate successful GVCs' data functioning and guidance for businesses on how to harvest data for growth and digital transformation.

scholarly journals COVID CRISIS AND TOURISM EVOLUTION IN SOME EUROPEAN COUNTRIES: ADAPT TO REALITIES OR REINVENT THE FUTURE?

2021 ◽  
Author(s):  
Jean Vasile Andrei ◽  
◽  
Mihaela Cristina Drăgoi ◽  
Keyword(s):  
Economic System ◽  
Value Chain ◽  
European Countries ◽  
Economic Sectors ◽  
Health Crisis ◽  
Eu Countries ◽  
Synoptic Analysis ◽  
Tourism Sector ◽  
National Economic ◽  
Multiplicative Effects

The health crisis has exerted a significant pressure on the global economic system, implicitly on the evolution of tourism, value chain creation and supply chains, generating shocks on various national economic sectors. In this context, the objective of the paper is to make a brief synoptic analysis on the evolution of the tourism sector in some EU countries. Two periods of time were considered - before the onset of the pandemic (2018-2019) and during the pandemic (in 2020). The results of the analysis confirm the specific trends of reducing the multiplicative effects that tourism has on the economy as well as the decrease, even contracting of the sector, a phenomenon identified through specific analyzed indicators.

scholarly journals ECDL - A basic tool for Smart Cities

2018 ◽  
Vol 331 ◽  
pp. 69-77
Author(s):  
Ronald Bieber
Keyword(s):  
Daily Life ◽  
Smart Cities ◽  
Basic Skills ◽  
Digital Transformation ◽  
Basic Tool ◽  
Digital Skills

Digital Transformation is changing our society as a whole. New digital skills are required in order to be able to participate in the daily life and work. The OCG has designed a concept “Education 4.0” which enables digital basic skills to everyone. The ECDL – a longstanding worldwide accepted IT certificate – plays an important role within this concept.

scholarly journals Prediction of Urban and Rural Tourism Economic Forecast Based on Machine Learning

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Wusheng Zhou
Keyword(s):  
Time Series ◽  
Economic Development ◽  
Causal Relationship ◽  
Local Economic Development ◽  
Tourism Industry ◽  
Local Economy ◽  
Series Data ◽  
Economic Forecast ◽  
The Relationship ◽  
Tourism Revenue

With the rapid development of tourism, tourism revenue, as one of the important indicators to measure the development of the tourism economy, has high research value. The quasi-prediction of tourism revenue can drive the development of a series of related industries and accelerate the development of the domestic economy. When forecasting tourism income, it is necessary to examine the causal relationship between tourism income and local economic development. The traditional cointegration analysis method is to extract the promotion characteristics of tourism income to the local economy and construct a tourism income prediction model, but it cannot accurately describe the causal relationship between tourism income and local economic development and cannot accurately predict tourism income. We propose an optimized forecasting method of tourism revenue based on time series. This method first conducts a cointegration test on the time series data of the relationship between tourism income and local economic development, constructs a two-variable autoregressive model of tourism income and local economy, and uses the swarm intelligence method to test the causal relationship and the relationship between tourism income and local economic development, calculate the proportion of tourism industry, define the calculation result as the direct influence factor of tourism industry on the local economy, calculate the relevant effect of local tourism development and economic income, and construct tourism income optimization forecast model. The simulation results show that the model used can accurately predict tourism revenue.

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