Open Access Opinion Article
The primary goal of this article is to start a discussion about the possibility to connect supply and demand with data analytics functionalities in the frame of a dynamic system environment. So, a number of classical supply and demand topics, concepts, and definitions, as well as state-of-the-art data analytics concepts are reviewed firstly. Then, the critical modeling problem of both concepts “supply” and “demand” using system dynamics is introduced, analyzed, and examined. Finally, supply, demand, big data and data analytics are considered in a system dynamics modeling environment.
Actually, the proposed paper provides an initial approach (introduction) to the main (basic) procedures, analytical approaches and methods of data and big data analysis. In particular, a framework to help program staff in their job and approaches on supply and demand issues using big data procedures and methods is presented. Accordingly, this article aims to support the work of data analytics and statistics staff across various content areas with big data functionalities.
This article was created because the state-of-the-art concept “using data and information in meaningful and smart ways” includes many opportunities and possibilities and obviously a great deal of information is involved. Doubtless, some of this information has a great complexity and it is highly dependent upon specialized data, information and knowledge like the “data analytics” concept. However, there are many ways of “using data in smart ways” that are more primitive and that involve relatively simple enough procedures.
Hence, the purpose of the current paper is to provide data analytics functionalities in supply and demand applications with a contemporary framework for thinking about, working with, and benefiting from an increased ability to use big data smartly and efficiently.
Finally, the current paper should be characterized as a knowledge generation opinion article which recommends the inclusion of data analytics and distributed technology in supply and demand industry in order to enhance functionalities and compatibility to state-of-the-art ICT.
Open Access Original Research Article
This study aimed to estimate the economic value of Santolo Beach tourism area. This research conducted from December 2019 until January 2020. The method used in this research is survey method with accidental sampling as the data collecting technique. Travel Cost Method and Contingent Valuation Method applied to estimate Santolo Beach's economic value. The factors influenced the number of visits and Willingness to Pay value identified by multiple linear regression. The results of the research showed that the economic value of Santolo Beach with the Travel Cost Method is IDR 114.26 Billion per year for the linear model and IDR 177.79 Billion per year for the semi-log model while the result from the Contingent Valuation Method is IDR 3.65 Billion per year. The factors that influence the number of visits in the linear model are travel costs, income, education, and distance while in the semi-log model is distance. The variables that influence the value of visitors' Willingness to Pay are income and education for both the linear model and the semi-log model.
Open Access Original Research Article
Aims: Consumers are increasingly using online shopping for purchasing food and beverage (F&B) products. A challenge to industry stakeholders is understanding which elements of online digital media and smart technologies are associated with higher rates of online expenditure that could be strategically targeted. Therefore, the central aims of this study are to identify predictors of online F&B expenditure, and how they differ across developed and emerging economy consumers.
Study Design: This is a quantitative study based on cross-sectional survey data.
Place and Duration of Study: The study is based on data collected in India, China, Indonesia, Japan and the United Kingdom in April 2016.
Methodology: Primary data is collected using online surveys of consumers primarily responsible for F&B grocery shopping within the household. Questionnaires focused on eliciting online expenditure rates for F&B, and associated use of relevant online digital media and smart technologies. Fractional multinomial logit modelling is used to identify statistically significant determinants of respondents’ percentage of expenditure online in each country.
Results: The sample consists of 5,004 respondents: China (1,001), India (998), Indonesia (1,002), Japan (1,002), UK (1,001). In-market technology use is a stronger predictor of online F&B expenditure in emerging than in developed economy markets. The influence of digital information sourcing behaviour and demographics are weak predictors of online F&B expenditure across both developed and emerging economy markets. In general, consumers in emerging economies show greater engagement with digital media and smart technology in relation to online F&B expenditure than their developed economy counterparts.
Conclusion: There is significant variation across countries in the specific determinants of online food and beverage expenditure and the uptake of associated digital media and smart technologies. These insights provide useful direction for focusing effort in targeting channel activators specific to each markets characteristics.
Open Access Original Research Article
The Mohiyonga hulalo tradition on the night of Shawwal is a recurring social phenomenon every year in rural Gorontalo. This tradition encapsulates the deep meaning of releasing Ramadan while welcoming Eid. This tradition is slowly changing, as the presence of mass communication technology and transportation that accompany modernization. This study analyzed the meaning behind the Mohiyonga hulalo tradition in rural Gorontalo. Besides, this study also described how aspects of technology like music, loudspeakers, tape, VCD player, and android are part of the liveliness of the Mohiyonga hulalo tradition as well as being the cause of waning community traditions in rural Gorontalo. This study used a qualitative approach with ethnographic methods. Observations were carried out in a participatory manner, deepened by interviews with village elders and young activists of this tradition. Data analysis was carried out qualitatively. The study found that the Mohiyonga hulalo tradition contained psychological meaning and spiritual meaning. Psychologically it is as momentum channeling emotions of sadness and fear of God. Meanwhile, spirituality means a momentum of repentance by acknowledging mistakes. The presence of mass communication and transportation technology has changed the Mohiyonga hulalo tradition held in the mosque to move to the streets, then fade. Changes in this element affect patterns of behavior, especially in social interaction.
Open Access Review Article
To effectively utilize Korea’s experience in developing human resources for managing natural and marine environmental resources, it is necessary to clearly identify the similarities and differences of the two countries (Korea and Vietnam) in the fields of human resource development, resources management and marine environment. In this work, similarities and differences in the development of human resources for managing marine environmental resources of the two countries were presented. Thorough research, which can be applied to the Korean experiences on the development of human resources, to manage marine environmental resources into specific conditions of Vietnam was carried out.