How did Japan cope with COVID-19? Big Data and Purchasing Behavior

2020 ◽  
pp. 1-44
Author(s):  
Yoko Konishi ◽  
Takashi Saito ◽  
Toshiki Ishikawa ◽  
Toshiki Ishikawa ◽  
Hajime Kanai ◽  
...  
Keyword(s):  
Big Data ◽  
Metropolitan Area ◽  
Infection Prevention ◽  
Retail Stores ◽  
Purchasing Behavior ◽  
Japanese People ◽  
Daily Lives ◽  
Convenience Stores ◽  
Pos Data ◽  
Spread Of Infection

Japan has been recognized as having successfully controlled the spread of the coronavirus pandemic. This study aims to gather insights to combat the spread of infection in our daily lives by observing our purchasing behavior. We use Point of Sales (POS) data from supermarkets, convenience stores, home centers, drug stores, and electronics retail stores for a nationwide analysis. Our analysis revealed the following. First, the Japanese people actively prevented the spread of infection by voluntarily wearing masks, using alcohol-based disinfectants, and gargling. Second, they willingly stayed home during the semi-lockdown. Third, they continued to purchase infection prevention essentials during periods of both low and high levels of infection. We conclude that continuing to wear masks, wash and sanitize hands, and gargle, along with spending more time at home to maintain safe distancing, will be effective in reducing the spread of the virus and combatting the pandemic. Finally, the infections and deaths were primarily concentrated in the metropolitan area and Kansai region, where the nature of the spread of the infection was different from that in small and middle-sized prefectures.

WHY DIVIDE MIGRANTS BY THEIR TYPES?: CONTACTS AND PERCEPTIONS OF MIGRANTS IN JAPAN

2021 ◽  
pp. 1-25
Author(s):  
Yujin Woo
Keyword(s):  
Japanese Society ◽  
Public Perceptions ◽  
Japanese People ◽  
Daily Lives ◽  
Labor Migrants ◽  
Current Form ◽  
The Public ◽  
Public Sentiment ◽  
Positive Feelings ◽  
Original Survey

Abstract This article compares the public perceptions of various types of migrants in Japan and examines whether Japanese view them equally. Using an original survey, which presented six types of migrants that Japanese people most commonly face in their daily lives, I show several interesting results. First, respondents express the most negative views toward labor migrants. Second, respondents who have migrant friends tend to have more positive feelings for all types of migrants. In contrast, simple coexistence with migrants fails to enhance public sentiment toward labor migrants, particularly those whose stay is temporary. Overall, my statistical results suggest that Japanese people are not pessimistic about every kind of migrant, and their openness increases as migrants acculturate into Japanese society and interact with Japanese people. These findings provide evidence to influence policy discussions on whether Japan should recruit labor migrants in its current form in order to fight its aging population.

Inventory Management Process

2013 ◽  
pp. 106-120
Author(s):  
Amit Agrahari ◽  
Saket Jhunjhunwala
Keyword(s):  
Inventory Management ◽  
Developed Countries ◽  
Emerging Economy ◽  
Convenience Store ◽  
Retail Stores ◽  
Management Process ◽  
The West ◽  
Teaching Case ◽  
Convenience Stores ◽  
Indian Context

This case captures inventory management process in an Indian convenience store. Unlike retail stores in developed countries, Indian convenience stores are a special format of organized retailing, where retailers open multiple smaller stores in a town instead of one big centralised store. An excellent inventory management process is the key to make such stores perform well. This case describes inventory management problems faced by an Indian convenience store chain and asks students to propose solutions to these problems. This case illustrates how processes realities and their IT solutions differ in an emerging economy. Using inventory management process as an example, this teaching case can introduce students to the process and technological realities in an Indian context and differences between India and the West.

AMR: effective infection prevention and control measures

2019 ◽  
Vol 30 (8) ◽  
pp. 390-395
Author(s):  
Naomi Fleming
Keyword(s):  
Antimicrobial Resistance ◽  
Prevention And Control ◽  
Infection Prevention ◽  
Control Measures ◽  
Infection Prevention And Control ◽  
Drug Resistant ◽  
Practice Nurses ◽  
Prevention And Control Measures ◽  
Spread Of Infection ◽  
And Control

Antimicrobial resistance is on the rise. As more infections are becoming resistant to antibiotic treatment, it would benefit practice nurses to be aware of the effective measures they can use to prevent the spread of infection, explains Naomi Fleming When micro-organisms are exposed to an antimicrobial, more susceptible organisms succumb, leaving behind those resistant to the antimicrobial. They can then pass on resistance to their offspring. The use and misuse of antimicrobials has increased the number and types of resistant organisms. As a result, standard treatments become ineffective and infections persist and may spread. Infection prevention and control (IPC) is key to reducing demand for antimicrobial use and reducing the acquisition of antimicrobial resistance. Poor IPC can increase the spread of drug-resistant infections. Interventions such as effective hand hygiene and vaccination have significant potential to limit opportunities for drug-resistant strains to emerge. Effective leadership is vital and nurses are central to promoting IPC, leading on IPC compliance and ensuring uptake of vaccination in primary care.

scholarly journals Big Data Social Media Analytics for Purchasing Behaviour

2018 ◽  
Vol 7 (4.36) ◽  
pp. 463
Author(s):  
Shahid Shayaa ◽  
Ainin Sulaiman ◽  
Arsalan Zahid Piprani ◽  
Mohammed Ali Al-Garadi ◽  
Muhammad Ashraf
Keyword(s):  
Social Media ◽  
Big Data ◽  
Social Media Analytics ◽  
Purchasing Behavior ◽  
The Social ◽  
Purchasing Behaviour

The social media is rich in data and of late its data have been used for various types of analytics. This paper examines the purchasing behavior and sentiments of social media users from Jan - 2015 to Dec – 2016. The purchasing behaviour of the users is categorized into five: buy car, buy house, buy computer, buy hand phone and going for holiday. The paper will also demonstrate the trend of each individual category. The results of the analysis would provide businesses information on the social media users’ purchasing behavior, their sentiment thus allowing them to take more appropriate strategies to enhance their competitiveness.  

scholarly journals The Impact of Personal Selling on the Purchasing Behavior towards Clothes: A Case Study on the Youth Category

2016 ◽  
Vol 8 (5) ◽  
pp. 128
Author(s):  
Rudain Othman Yousif
Keyword(s):  
Personal Selling ◽  
Personal Characteristics ◽  
Retail Stores ◽  
Purchasing Behavior ◽  
Men And Women ◽  
Five Dimensions ◽  
Four Dimensions ◽  
Target Community ◽  
The Impact

<p>This study aimed to find the impact of personal selling on the purchasing behavior for youth in buying clothes. To achieve the objectives of the study, hypotheses were formulated and tested on a sample of the target community made up of 289 young men and women. The questionnaire design (32) was divided into five dimensions, four dimensions based on the personal characteristics of salespersons and their display of goods, characteristics of clothing stores, promotion done by salespersons in the sale of clothing, and the fifth focused on youth’s clothes purchasing behavior. The results of the study showed that 76.7% of males and 99.1% of females prefer to purchase from clothing retail stores. The sampling showed that salespersons in retail stores are honest in dealing with their customers but do not have the ability to negotiate with them. They neither have the required sales skill nor play a big role in stimulating sales, and they do not grant discounts to customers. The study recommended the importance of training and qualification for salespersons in personal selling to help them deal truthfully with customers and develop the ability to negotiate. Salespersons should be granted the authority to give discounts to customers.</p>

scholarly journals Big Data as a Source for Official Statistics

2015 ◽  
Vol 31 (2) ◽  
pp. 249-262 ◽  
Author(s):  
Piet J.H. Daas ◽  
Marco J. Puts ◽  
Bart Buelens ◽  
Paul A.M. van den Hurk
Keyword(s):  
Big Data ◽  
High Frequency ◽  
Electronic Devices ◽  
Point Of View ◽  
Data Sources ◽  
The Internet ◽  
Official Statistics ◽  
Daily Lives ◽  
Media Messages ◽  
Loop Detection

Abstract More and more data are being produced by an increasing number of electronic devices physically surrounding us and on the internet. The large amount of data and the high frequency at which they are produced have resulted in the introduction of the term ‘Big Data’. Because these data reflect many different aspects of our daily lives and because of their abundance and availability, Big Data sources are very interesting from an official statistics point of view. This article discusses the exploration of both opportunities and challenges for official statistics associated with the application of Big Data. Experiences gained with analyses of large amounts of Dutch traffic loop detection records and Dutch social media messages are described to illustrate the topics characteristic of the statistical analysis and use of Big Data.

scholarly journals ARCS-Assisted Teaching Robots Based on Anticipatory Computing and Emotional Big Data for Improving Sustainable Learning Efficiency and Motivation

2020 ◽  
Vol 12 (14) ◽  
pp. 5605
Author(s):  
Yi-Zeng Hsieh ◽  
Shih-Syun Lin ◽  
Yu-Cin Luo ◽  
Yu-Lin Jeng ◽  
Shih-Wei Tan ◽  
...  
Keyword(s):  
Big Data ◽  
School Administrators ◽  
Rapid Development ◽  
Science And Technology ◽  
Recognition System ◽  
Learning Effectiveness ◽  
Daily Lives ◽  
Academic Difficulties ◽  
Science And Technology Education ◽  
Training Professional

Under the vigorous development of global anticipatory computing in recent years, there have been numerous applications of artificial intelligence (AI) in people’s daily lives. Learning analytics of big data can assist students, teachers, and school administrators to gain new knowledge and estimate learning information; in turn, the enhanced education contributes to the rapid development of science and technology. Education is sustainable life learning, as well as the most important promoter of science and technology worldwide. In recent years, a large number of anticipatory computing applications based on AI have promoted the training professional AI talent. As a result, this study aims to design a set of interactive robot-assisted teaching for classroom setting to help students overcoming academic difficulties. Teachers, students, and robots in the classroom can interact with each other through the ARCS motivation model in programming. The proposed method can help students to develop the motivation, relevance, and confidence in learning, thus enhancing their learning effectiveness. The robot, like a teaching assistant, can help students solving problems in the classroom by answering questions and evaluating students’ answers in natural and responsive interactions. The natural interactive responses of the robot are achieved through the use of a database of emotional big data (Google facial expression comparison dataset). The robot is loaded with an emotion recognition system to assess the moods of the students through their expressions and sounds, and then offer corresponding emotional responses. The robot is able to communicate naturally with the students, thereby attracting their attention, triggering their learning motivation, and improving their learning effectiveness.

scholarly journals Public Management Innovation in the Age of Big Data

2019 ◽  
Vol 2 (4) ◽  
Author(s):  
Yichu Wang
Keyword(s):  
Big Data ◽  
Public Management ◽  
Great Influence ◽  
Management Innovation ◽  
Daily Lives ◽  
The Public ◽  
Internet Age ◽  
The People ◽  
Big Data Technology

In the Internet age, computer technology and data analysis technology have been applied to the daily lives and work of the people. Big data technology has brought great influence to public management, providing efficient and convenient public services and improving the ability to cope with public opinion crises [1]. However, in the actual public management process, there are widespread problems such as single practice and poor data openness. Based on this, the article expounds the relevant content of big data, introduces the role of big data in public management, and studies the public management innovation in the age of big data.

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