scholarly journals Packaging Design and the Changing Needs of End Consumers

2021 ◽  
Vol 4 (6) ◽  
pp. 67-72
Author(s):  
Ming Li
Keyword(s):  
Big Data ◽  
Food Packaging ◽  
Design Thinking ◽  
Online Shopping ◽  
Rapid Development ◽  
Street Vendors ◽  
Cultural Elements ◽  
Packaging Design ◽  
Regional Cultures ◽  
China’S Economy

With the rapid development of China’s economy, the society has entered the era of big data intelligence, leading to tremendous changes in people’s shopping methods. From the original way of shopping via traditional channels from street vendors and farmer’s markets to shopping via WeChat, Douyin, Taobao, Pinduoduo, and other digital e-commerce channels, online shopping has become the norm and an integral part of people’s life in the post-pandemic era. The shift from traditional offline shopping to online shopping calls for a change in design thinking, integrating food packaging design, consumer needs, and brand stories, reflecting individual characters and regional cultures, as well as incorporating traditional Chinese style and cultural elements.

Big data implementation for price statistics in Indonesia: Past, current, and future developments

2021 ◽  
pp. 1-13
Author(s):  
Setia Pramana ◽  
Siti Mariyah ◽  
Takdir
Keyword(s):  
Big Data ◽  
Online Shopping ◽  
Rapid Development ◽  
Data Sources ◽  
Massive Data ◽  
It Infrastructure ◽  
Online Systems ◽  
Future Developments ◽  
Near Future ◽  
Future Plans

The rapid development of Big Data as result of increasing interactivity with online systems between humans (e.g., online shopping, marketplace) and machine (internet of things, mobile phone, etc.) has led to a measurement revolution. This massive data if being mined and analyzed correctly can provide valuable alternative data sources for official statistics, especially price statistics. Several studies for using diverse Big Data as new sources of price statistics in Indonesia have been initiated. This article would provide a comprehensive review of experiences in exploiting various Big Data sources for price statistics, followed by the current development and the near future plans. The development of system and IT infrastructure is also discussed. Based on this experience, limitations, challenges, and advances for each approach would be presented.

Dynamic network intelligent hybrid recommendation algorithm and its application in online shopping platform

2021 ◽  
pp. 1-13
Author(s):  
Yuxuan Gao ◽  
Haiming Liang ◽  
Bingzhen Sun
Keyword(s):  
Online Shopping ◽  
Rapid Development ◽  
Dynamic Network ◽  
Topsis Method ◽  
Recommendation Algorithm ◽  
Time Periods ◽  
The Difference ◽  
Relationship Of ◽  
Hybrid Recommendation ◽  
Novel Model

With the rapid development of e-commerce, whether network intelligent recommendation can attract customers has become a measure of customer retention on online shopping platforms. In the literature about network intelligent recommendation, there are few studies that consider the difference preference of customers in different time periods. This paper proposes the dynamic network intelligent hybrid recommendation algorithm distinguishing time periods (DIHR), it is a integrated novel model combined with the DEMATEL and TOPSIS method to solved the problem of network intelligent recommendation considering time periods. The proposed method makes use of the DEMATEL method for evaluating the preference relationship of customers for indexes of merchandises, and adopt the TOPSIS method combined with intuitionistic fuzzy number (IFN) for assessing and ranking the merchandises according to the indexes. We specifically introduce the calculation steps of the proposed method, and then calculate its application in the online shopping platform.

Bibliometric analysis and critical review of the research on big data in the construction industry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yusheng Lu ◽  
Jiantong Zhang
Keyword(s):  
Big Data ◽  
Construction Industry ◽  
Bibliometric Analysis ◽  
Critical Review ◽  
Rapid Development ◽  
Heterogeneous Data ◽  
The Body ◽  
Future Research ◽  
Temporal And Spatial Distribution ◽  
Content Type

PurposeThe digital revolution and the use of big data (BD) in particular has important applications in the construction industry. In construction, massive amounts of heterogeneous data need to be analyzed to improve onsite efficiency. This article presents a systematic review and identifies future research directions, presenting valuable conclusions derived from rigorous bibliometric tools. The results of this study may provide guidelines for construction engineering and global policymaking to change the current low-efficiency of construction sites.Design/methodology/approachThis study identifies research trends from 1,253 peer-reviewed papers, using general statistics, keyword co-occurrence analysis, critical review, and qualitative-bibliometric techniques in two rounds of search.FindingsThe number of studies in this area rapidly increased from 2012 to 2020. A significant number of publications originated in the UK, China, the US, and Australia, and the smallest number from one of these countries is more than twice the largest number in the remaining countries. Keyword co-occurrence is divided into three clusters: BD application scenarios, emerging technology in BD, and BD management. Currently developing approaches in BD analytics include machine learning, data mining, and heuristic-optimization algorithms such as graph convolutional, recurrent neural networks and natural language processes (NLP). Studies have focused on safety management, energy reduction, and cost prediction. Blockchain integrated with BD is a promising means of managing construction contracts.Research limitations/implicationsThe study of BD is in a stage of rapid development, and this bibliometric analysis is only a part of the necessary practical analysis.Practical implicationsNational policies, temporal and spatial distribution, BD flow are interpreted, and the results of this may provide guidelines for policymakers. Overall, this work may develop the body of knowledge, producing a reference point and identifying future development.Originality/valueTo our knowledge, this is the first bibliometric review of BD in the construction industry. This study can also benefit construction practitioners by providing them a focused perspective of BD for emerging practices in the construction industry.

Transparent choices: communicating packaged food content to children

2017 ◽  
Vol 16 (1) ◽  
pp. 57-74 ◽  
Author(s):  
Meaghan Brierley ◽  
Charlene Elliott
Keyword(s):  
Information Needs ◽  
Food Packaging ◽  
Food Choices ◽  
Thinking Skills ◽  
Critical Thinking Skills ◽  
Healthy Foods ◽  
Children’S Perspectives ◽  
Packaging Design ◽  
Food Content ◽  
Packaged Food

Focusing on how children make food choices, this article presents research to support efforts to meet children’s information needs when it comes to food packaging. Using focus groups, the authors examine children’s perspectives on ‘most healthy’ and ‘least healthy’ packaged food. Findings reveal that children understand whole foods as ‘healthy’ foods, use the Nutrition Facts label to guide their decisions, and interpret package visuals as literal descriptions of what a food contains. These findings provide evidence-based support to improve food packaging design regulations. Finally, the authors call for transparent visual communication strategies, which aim to improve the critical thinking skills of children, and provide a foundation for informed decision-making across a lifetime.

scholarly journals Light-Weight, Self-Powered Sensor Based on Triboelectric Nanogenerator for Big Data Analytics in Sports

Electronics ◽  
2021 ◽  
Vol 10 (19) ◽  
pp. 2322
Author(s):  
Xiaofei Ma ◽  
Xuan Liu ◽  
Xinxing Li ◽  
Yunfei Ma
Keyword(s):  
Big Data ◽  
Real Time ◽  
Data Analytics ◽  
Mechanical Energy ◽  
Rapid Development ◽  
Big Data Analytics ◽  
Triboelectric Nanogenerator ◽  
Light Weight ◽  
Table Tennis ◽  
Self Powered

With the rapid development of the Internet of Things (IoTs), big data analytics has been widely used in the sport field. In this paper, a light-weight, self-powered sensor based on a triboelectric nanogenerator for big data analytics in sports has been demonstrated. The weight of each sensing unit is ~0.4 g. The friction material consists of polyaniline (PANI) and polytetrafluoroethylene (PTFE). Based on the triboelectric nanogenerator (TENG), the device can convert small amounts of mechanical energy into the electrical signal, which contains information about the hitting position and hitting velocity of table tennis balls. By collecting data from daily table tennis training in real time, the personalized training program can be adjusted. A practical application has been exhibited for collecting table tennis information in real time and, according to these data, coaches can develop personalized training for an amateur to enhance the ability of hand control, which can improve their table tennis skills. This work opens up a new direction in intelligent athletic facilities and big data analytics.

scholarly journals The Construction and Thinking of Cloud Computing and Big Data Technology in Smart Campus

2019 ◽  
Vol 3 (2) ◽  
pp. 152
Author(s):  
Xianglan Wu
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Data Storage ◽  
Information Technologies ◽  
Rapid Development ◽  
Smart Campus ◽  
Huge Data ◽  
New Information ◽  
Big Data Technology

<p>In today's society, the rise of the Internet and rapid development make every day produce a huge amount of data. Therefore, the traditional data processing mode and data storage can not be fully analyzed and mined these data. More and more new information technologies (such as cloud computing, virtualization and big data, etc.) have emerged and been applied, the network has turned from informationization to intelligence, and campus construction has ushered in the stage of smart campus construction.The construction of intelligent campus refers to big data and cloud computing technology, which improves the informatization service quality of colleges and universities by integrating, storing and mining huge data.</p>

scholarly journals APPLICATION OF BIG DATA IN ENTERPRISE MANAGEMENT

2021 ◽  
Author(s):  
FENG GUO ◽  
HUI-LIN QIN
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Rapid Development ◽  
Enterprise Management ◽  
Complex Data ◽  
Real Economy ◽  
Existing Problems ◽  
Other Information ◽  
Big Data Application ◽  
Deep Integration

With the continuous development of information technology, enterprises have gradually entered the era of big data. How to analyze the complex data and find out the useful information to promote the development of enterprises is becoming more and more important in the modernization of science and technology. This paper expounds the importance and existing problems of big data application in enterprise management, and briefly analyzes and discusses its application in enterprises and its future development direction and trend. With the rapid development of Internet of things, cloud computing and other information technology, the world ushered in the era of big data. It has become a trend to promote the deep integration of Internet, big data, artificial intelligence and real economy. Due to the rapid development of economy, the amount of data information generated in the process of consumption and production is very large. Under the traditional management mode, enterprises can not meet the needs of the current social and economic development. However, the application of big data technology in enterprises can achieve better analysis and Research on these data information, so as to provide reliable data basis for enterprises to carry out various business management decisions.

scholarly journals Common Problems and Design Methods of Urban Municipal Road Design

2017 ◽  
Vol 6 (2) ◽  
Author(s):  
Jiayi Miao
Keyword(s):  
Social Life ◽  
Driving Force ◽  
Rapid Development ◽  
Road Construction ◽  
Urban Infrastructure ◽  
Urban Transport ◽  
Urban Road ◽  
Road Design ◽  
Common Problems ◽  
China’S Economy

With the rapid development of China's economy, the construction scale of urban transport is also expanding. Among them, municipal road construction is an important part of urban infrastructure as well as an important guarantee for the development of people's livelihood; it is also an important driving force to promote urban transport system and social life development. The author expounds the importance and basic requirements of urban road designing, and discusses some common problems and countermeasures, hoping to be helpful.

scholarly journals EVALUASI EYE TRACKING TERHADAP PERSEPSI WARNA DAN GAMBAR PADA PRIMARY DISPLAY PANEL KEMASAN

2021 ◽  
Vol 20 (1) ◽  
pp. 91-103
Author(s):  
Wirania Swasty ◽  
Arry Mustikawan ◽  
Moh. Isa Pramana Koesoemadinata
Keyword(s):  
Eye Tracking ◽  
Food Packaging ◽  
Decision Making Process ◽  
Data Recording ◽  
Literature Study ◽  
Packaging Design ◽  
Recording Process ◽  
Teenagers And Young Adults ◽  
Primary Display ◽  
Snack Products

 Home industry food packaging displayed on shelves in stores will compete with products from other brands that areplaced close together. In order to attract consumers’ attention and assist them in the purchasing decision-making process, packaging that has a competitive advantage is needed. This research is limited to the Primary Display Panel (PDP) packaging of home industry banana chips. In previous studies, the research used was quantitative, but this does not reveal the whole story. The data recording process can support “what” the participant looks at but does not reveal “why” they look at it. For this reason, this research is aimed to establish a broader understanding of what participants perceive of the packaging design seen using eye tracking methods and why it happened. This study uses qualitative approach. Thestudy consists of three phases: literature study, eye tracking data recording, and data processing and interviews analyzedusing content analysis. The result is colors and images are perceived to be the same by teenagers and young adults. There is no connection between likes and dislikes for colors/images with colors preference in choosing snack products. The results can be used by producers and packaging designers to create packages that generate consumer purchase interest.

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