Applying Big Data with Fuzzy DEMATEL to Discover the Critical Factors for Employee Engagement in Developing Sustainability for the Hospitality Industry under Uncertainty

2017 ◽  
pp. 218-253 ◽  
Author(s):  
Kuo-Jui Wu ◽  
Li Cui ◽  
Ming-Lang Tseng ◽  
Jiayao Hu ◽  
Pham Minh Huy
Keyword(s):  
Big Data ◽  
Employee Engagement ◽  
Economic Performance ◽  
Hospitality Industry ◽  
Positive Influence ◽  
Laboratory Evaluation ◽  
Critical Factors ◽  
Fuzzy Dematel ◽  
The World ◽  
Negative Impacts

The hospitality industry is one of the fastest-growing industries in the world. The growth of this industry has been accompanied by issues of sustainability development. Employees expect firms to have the ability to address their negative impacts on the environment and society. However, firms are generally unable to reach such expectations due to an inability to acquire feedback from employees, which leads to employee dissatisfaction. In addition, there has been a lack in the theoretical linkage between employee engagement and sustainability development. Thus, this study determines the critical factors of employee engagement based on big data (using social media and quantitative and qualitative data) and integrates such data by using decision-making tests and laboratory evaluation methods to identify these interrelationships. The findings reveal that sustainability development can be enhanced through aggressive employee engagement, which also can generate a positive influence on economic performance. A detailed discussion is also presented.

scholarly journals ANALYSIS OF FOREIGN ECONOMIC ACTIVITY OF THE ENTERPRISE

2018 ◽  
pp. 200-205
Author(s):  
Oleksandr Lavryk ◽  
Kostyantyn Kotlyar
Keyword(s):  
Big Data ◽  
Quantitative Analysis ◽  
Qualitative Analysis ◽  
Statistical Methods ◽  
Economic Performance ◽  
Economic Activity ◽  
Competitive Intelligence ◽  
World Markets ◽  
The World ◽  
Methodological Aspects

Introduction. The research considers theoretical and methodological aspects of the analysis of the foreign economic activity of the enterprise, the analysis of the environment and the results of foreign economic activity and the development of directions for improving the analytical support of the foreign economic activity of the enterprise in modern conditions. The content and peculiarities of the foreign economic activity of the enterprise are considered in the article. The description of the methods of quantitative analysis of the foreign economic activity of the enterprise is given. The methods of qualitative analysis of the foreign economic activity of the enterprise are investigated. Purpose. There are aims to research the theoretical and methodological aspects of the analysis of the foreign economic activity of the enterprise, the analysis of the environment and results of foreign economic activity and the development of directions for improving the analytical support of foreign economic activity in modern conditions. Method (methodology). The estimation and analysis methods of risks and financing efficiency, the estimation of financial and economic performance, statistical methods have been used to solve the tasks of the research. Results. The project proposes the use of competitive intelligence tools in the world markets as a way of improving the analytical support of foreign economic activity of company. The directions of using Big Data software tools for studying the world markets of agro products have been developed. The effectiveness of the proposed measures has been substantiated.

Smart Ideas for Smart City Development

2021 ◽  
pp. 83-96
Author(s):  
Andrew Omambia
Keyword(s):  
Big Data ◽  
Natural Environment ◽  
Smart City ◽  
Smart Cities ◽  
Critical Factors ◽  
City Development ◽  
Key Factors ◽  
Integrative Framework ◽  
Road Map ◽  
The World

The concept of smart city is a burgeoning strategy that is fast becoming popular as a strategy that will be able to mitigate the problems emanating from the uncontrolled population growth and urbanization. Academicians have turned their attention to the smart city concept, but an in-depth understanding of the concept is still required. There is a dearth of information on the concept and hence the phenomenon is not well understood. This study, therefore, aims to fill the gap in literature regarding smart cities and propose a framework for grasping the concept further. Based on exploratory studies on the concept of smart cities, this chapter focusses on nine key factors that will form the framework for smart cities and the smart cities initiatives. These nine critical factors include the management, organization governance, technology, people, policy, economy, natural environment, built environment, and the implications of big data on smart cities. These factors provide the basis for the development of an integrative framework that can be employed to examine the manner in which governments around the world, including Kenya, are envisioning smart city initiatives. The framework provides the agendas and directions for smart approaches that can be implemented in cities and a road map for the attainment of smart cities.

Between Modernization and Stagnation: Economic Policy in 2012

2013 ◽  
pp. 4-23 ◽  
Author(s):  
V. Mau
Keyword(s):  
Economic Policy ◽  
Economic Development ◽  
Russian Economic Development ◽  
Structural Transformation ◽  
Economic Performance ◽  
Historical Analysis ◽  
Oil Boom ◽  
The World

The paper deals with the trends in the world and Russian economies towards development of a new post-crisis system, including technological and structural transformation. Three main scenarios of Russian economic development (conservative, innovation and acceleration) are discussed basing on historical analysis of Russian economic performance since 1970-s when oil boom started. On this basis key challenges of economic policy in 2013 are discussed.

Determinants of Brazilian Exports by Levels of Technological Intensity: A Gravity Model Analysis Using the PPML Estimator

2019 ◽  
Vol 10 (9) ◽  
pp. 861-879
Author(s):  
Edson Roberto Vieira ◽  
◽  
Daniel Henrique Alves Reis ◽  
Keyword(s):  
International Market ◽  
Positive Influence ◽  
Gravity Models ◽  
Transport Costs ◽  
Consumer Market ◽  
Technology Products ◽  
The Us ◽  
Trading Partners ◽  
Negative Impacts ◽  
Technological Intensity

The objective of this study is to analyze the determinants of Brazilian exports by levels of technological intensity in the period 2000-2015. Gravity models were estimated for total of the exports and for each type of exports by levels of technological intensity, using the PPML-estimator. The study indicates that there is a process of concentration of Brazilian exports in low technology and medium-low technology products, at the same period in which China's share of total Brazilian shipments abroad grew. Estimates of empirical gravity models have shown that the income and size of the consumer market of Brazil’s trading partners seem to have the greatest positive influence on the Brazilian exports. Indications of this study are that the Brazil should continue to diversify its trading partners to minimize the impacts of a possible reduction of the economic growth of large trading partners (such as China and the US) on its exports and increase its exports of products with greater technological intensity. The results also highlight the need for Brazil to make greater efforts to increase its competitiveness in the international market to reduce the negative impacts of transport costs on the final prices of products exported by the country.

Employee engagement and the work-family conflict relationship: The role of personal and organisational resources

2019 ◽  
Vol 40 (2) ◽  
pp. 118-138
Author(s):  
Okechukwu Ethelbert Amah
Keyword(s):  
Employee Engagement ◽  
Family Conflict ◽  
Empirical Studies ◽  
Hierarchical Regression ◽  
Personal Resources ◽  
Conservation Of Resources ◽  
Work Family Conflict ◽  
The World ◽  
Work Family ◽  
Operational Issues

Organisations in Africa face constant challenges on account of internal operational issues, and the economic and political situation on the continent. Hence, organisations in Africa and indeed all over the world are expected to be continuously efficient and effective in the use of scarce resources in order to survive. Accordingly, studies conducted all over the world, including in Africa, have established that high employee engagement is beneficial to organisations, because engaged employees exhibit discretionary behaviour that achieves superior business results. However, some studies suggest that organisations are also faced with the undesirable situation in which highly engaged employees experience high levels of work-family conflict. This relationship has implications for both productivity and ethical aspects, and past empirical studies have been unable to suggest a way out. This study proposes that, on the basis of the conservation of resources model and job demand and resources model, organisational and personal resources could play a major role in resolving the dilemma. Hierarchical regression analysis confirmed that organisational resources, servant leadership and personal resources were able to provide a solution, so that individuals with high values of these resources experienced less work-family conflict. The study also discussed the practical implications of the results for HRM and sustainability HRM.

The beginning of phygital world

2020 ◽  
Vol 10 (2) ◽  
pp. 1-4
Author(s):  
Evgeny Soloviov ◽  
Alexander Danilov
Keyword(s):  
Big Data ◽  
Learning Styles ◽  
21St Century ◽  
Digital Technology ◽  
Aviation Education ◽  
Digital World ◽  
The World ◽  
Unique Experience ◽  
Smart Data

The Phygital word itself is the combination pf physical and digital technology application.This paper will highlight the detail of phygital world and its importance, also we will discuss why its matter in the world of technology along with advantages and disadvantages.It is the concept and technology is the bridge between physical and digital world which bring unique experience to the users by providing purpose of phygital world. It is the technology used in 21st century to bring smart data as opposed to big data and mix into the broader address of array of learning styles. It can bring new experience to every sector almost like, retail, medical, aviation, education etc. to maintain some reality in today’s world which is developing technology day to day. It is a general reboot which can keep economy moving and guarantee the wellbeing of future in terms of both online and offline.

scholarly journals Get Close to the Robot: The Effect of Risk Perception of COVID-19 Pandemic on Customer–Robot Engagement

2021 ◽  
Vol 18 (12) ◽  
pp. 6314
Author(s):  
Jifei Wu ◽  
Xiangyun Zhang ◽  
Yimin Zhu ◽  
Grace Fang Yu-Buck
Keyword(s):  
Risk Perception ◽  
Perceived Risk ◽  
Hospitality Industry ◽  
Positive Influence ◽  
Mediating Effect ◽  
Service Robots ◽  
Industry Analysis ◽  
Social Distancing ◽  
Risk Seeking ◽  
Positive Effect

The purpose of this study was to examine the effect of the COVID-19 pandemic on customer–robot engagement in the Chinese hospitality industry. Analysis of a sample of 589 customers using service robots demonstrated that the perceived risk of COVID-19 has a positive influence on customer–robot engagement. The positive effect is mediated by social distancing and moderated by attitudes towards risk. Specifically, the mediating effect of social distancing between the perceived risk of COVID-19 and customer–robot engagement is stronger for risk-avoiding (vs. risk-seeking) customers. Our results provide insights for hotels when they employ service robots to cope with the shock of COVID-19 pandemic.

scholarly journals Putting the world back to work: An expert system using big data and artificial intelligence in combating the spread of COVID-19 and similar contagious diseases

Work ◽  
2020 ◽  
Vol 67 (3) ◽  
pp. 557-572
Author(s):  
Said Tkatek ◽  
Amine Belmzoukia ◽  
Said Nafai ◽  
Jaafar Abouchabaka ◽  
Youssef Ibnou-ratib
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Expert System ◽  
Population Monitoring ◽  
High Definition ◽  
Contagious Diseases ◽  
The World ◽  
General Guide ◽  
The Impact ◽  
Back To Work

BACKGROUND: To combat COVID-19, curb the pandemic, and manage containment, governments around the world are turning to data collection and population monitoring for analysis and prediction. The massive data generated through the use of big data and artificial intelligence can play an important role in addressing this unprecedented global health and economic crisis. OBJECTIVES: The objective of this work is to develop an expert system that combines several solutions to combat COVID-19. The main solution is based on a new developed software called General Guide (GG) application. This expert system allows us to explore, monitor, forecast, and optimize the data collected in order to take an efficient decision to ensure the safety of citizens, forecast, and slow down the spread’s rate of COVID-19. It will also facilitate countries’ interventions and optimize resources. Moreover, other solutions can be integrated into this expert system, such as the automatic vehicle and passenger sanitizing system equipped with a thermal and smart High Definition (HD) cameras and multi-purpose drones which offer many services. All of these solutions will facilitate lifting COVID-19 restrictions and minimize the impact of this pandemic. METHODS: The methods used in this expert system will assist in designing and analyzing the model based on big data and artificial intelligence (machine learning). This can enhance countries’ abilities and tools in monitoring, combating, and predicting the spread of COVID-19. RESULTS: The results obtained by this prediction process and the use of the above mentioned solutions will help monitor, predict, generate indicators, and make operational decisions to stop the spread of COVID-19. CONCLUSIONS: This developed expert system can assist in stopping the spread of COVID-19 globally and putting the world back to work.

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