Software development is an iterative process from designing to implementation, and to testing, in which product development staff should be closely integrated with users. Satisfying user needs effectively is often the pain point for developers. In order to alleviate this, this paper manages to establish the quantitative connection between users' online reviews and APP (Application Program) downloads. By analyzing user online comments, companies can dig out user needs and preferences. This could benefit them by making accurate market positioning of their APP products, and therefore iteratively innovating products based on user needs, which hopefully will increase the volume of APP downloads. This paper regards WeChat APP during 47 updates periods as the research object. Based on Grounded Theory, user needs are extracted after data cleaning. Next, by using semantic analysis and word frequency analysis, we are able to obtain the implicit feedbacks such as emotion tendency, satisfaction and requirements lie under online reviews. Then, we construct a quantile regression model to study the impact of users' online reviews on downloads based on the influencing factors we extracted so as to provide a decision basis for enterprises to iteratively update their products. Results show that: (1) Generally speaking, needs of WeChat users mainly focus on performance, reliability, usability, functional deficiency, functional insufficiency, and system adaptability; (2) For those APP versions with relatively fewer downloads, user needs are mostly about functional deficiency, followed by functional insufficiency, performance, usability, and system adaptability. At this stage, it is found out that users' emotion tendency and user satisfaction significantly affect the volume of downloads; (3) When the volume of APP downloads is moderate, the user needs are functional deficiency, functional insufficiency, and system adaptability. While under this circumstances, users' star ratings have a significant impact on downloads; (4) In addition, when the volume of App downloads is high, user needs are performance, usability, and system adaptability. Our methods effectively extract users' requirements from online reviews and then successfully build up the quantitative connection between the implicit feedbacks from those requirements and APP downloads.

UNG Author's Reception Bibliography 2023

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Grounded Theory-Based User Needs Mining and Its Impact on APP Downloads: Exampled With WeChat APP

With the commitment to peaking carbon emissions by 2030 and achieving carbon neutrality by 2060, the text analysis of policies related to peak carbon emissions and carbon neutrality has become a hot research topic in China. However, current domestic and foreign research mainly focuses on the impact and enlightenment of carbon emission measurement and other aspects and rarely optimizes the road to carbon neutrality through the analysis of policy texts. Based on both domestic and international research results, this paper takes 11 central government, ministry, province, and city policies as the research object, uses the PMC index model to calculate the PMC indices of the 11 representative documents, and draws surfaces. The results indicate that nearly half of the policies have excellent scores, but some policies still have deficiencies in terms of guarantee incentives and policy coverage. Given these shortcomings, this paper proposes that the government should provide technical assistance to industrial enterprises in addition to certain subsidies to reduce the energy consumption of enterprises in production and achieve sustainable development. While popularizing and developing low-carbon technology, enterprises should pay attention to personnel training and management, and use the digital economy to empower the transition to eco-friendly production. Based on the above research, the main contributions of this paper are as follows: to make theoretical and practical preparations for carbon neutralization and to provide suggestions for optimizing policies.

A Document Analysis of Peak Carbon Emissions and Carbon Neutrality Policies Based on a PMC Index Model in China

The sudden COVID-19 caused frequent incidents of large-scale material panic buying, resulting in imbalance in supply and demand of goods and threatening social stability. It is of great significance to analyze the formation of group panic buying and help alleviate such action. This paper takes the panic buying phenomenon as the research target, quantifies the internal and external factors affecting individual buying behavior, restores the selection process of individual buying behavior, and constructs the emergence model of group panic buying behavior by using the idea of cluster dynamics. Through simulations, we find that: (1) The epidemic information intensity has a significant impact on the emergence of group rush buying behavior. (2) Government intervention plays a significant role in reducing the scale of group rush buying. Besides, the effects of intervention reach the best before people who do not participate in rush buying disappear. In addition, we also discuss the impact, limitations and future research directions.

Identifying emergence process of group panic buying behavior under the COVID-19 pandemic

With the rapid growth of Chinese social network users, the open yet anonymous cyberspace makes the Chinese public more inclined to express their feelings and opinions freely on the Internet, and thus generate opinions that are not conducive to the survival and development of Chinese enterprises, i.e., enterprise negative network public opinion. Based on this, this paper takes a Chinese enterprise’s negative network public opinion as the research object. First, our research identifies the stakeholders involved in the dissemination process of public opinion information. Secondly, we model the decision-making behaviors of stakeholders in different stages to obtain the evolutionarily stable strategy. After that, the simulation experiment is conducted to analyze the key points of enterprise strategy adjustment in different stages of negative network public opinion dissemination. The experimental results show that: (1) In its formation stage, opinion leaders usually do not participate in the event, and thus enterprises need to focus on the active ordinary Internet users; (2) In its development stage, if an enterprise wants to reduce the loss caused by negative events, it needs to make use of online media to give corresponding positive guidance; (3) In its control stage, enterprises should take corresponding legal measures to netizens who make improper remarks on the Internet, increase the risk cost of these netizens group, and cooperate with the government’s control work to guide the negative public opinion to turn in a beneficial direction. Finally, the rationality and effectiveness of the proposed model are verified using a practical case.

Management and Control of Enterprise Negative Network Public Opinion Dissemination Based on the Multi-Stakeholder Game Mechanism in China

On 31 May 2021, the Political Bureau of the Central Committee of the Communist Party of China proposed the policy that a couple can have three children, and rolled out more supportive measures to further optimize the fertility policies. However, while the Chinese government is further optimizing its fertility policy, the sudden outbreak of COVID-19 is raging around the world, which threatens the implementation of China’s fertility optimization policy. Based on this, this paper firstly explores the impact of COVID-19 on women’s fertility intentions. Secondly, based on the Theory of Planned Behavior, this paper constructs a structural equation model to quantitatively reveal the specific factors that affect women’s fertility intentions under the epidemic, as well as their impact paths, and then puts forward corresponding suggestions for the government to solve the problem of fertility, aiming at delaying population aging and optimizing population structure. The research results show that: (1) COVID-19 lowers the fertility intentions of women of childbearing age. (2) During the pandemic, economic pressure emerged as the biggest factor affecting women’s fertility intentions. The decline in income caused by the pandemic has become an important factor in preventing women from having children. (3) The conflict between work and childbearing is still an important factor affecting the fertility intentions of women of childbearing age. The government’s provision of perfect childcare services and their strengthening of the protection of women’s employment rights and interests will greatly reduce women’s anxiety about childbearing.

The Impacts of the COVID-19 Pandemic on Fertility Intentions of Women with Childbearing Age in China

The consistent innovations and applications of information technology drive the vigorous development of the gig economy, and generate gig workers such as food delivery workers and couriers, and make a great contribution to stabilizing employment and increasing income. Gig workers, mostly made up of migrants, and suffer from job and status difficulties. Research on the well-being of migrant gig workers can reveal the practical problems and provide suggestions for narrowing the wealth gap to promote social fairness and justice. Taking Hangzhou city in China as an example, this paper explores the well-being of food delivery workers, couriers, and online car-hailing drivers as representatives of migrant gig workers. Firstly, the relevant data are acquired through the questionnaire. Secondly, the characteristics of this group are analyzed through descriptive analysis, namely: most of them are migrant workers aged between 20 and 39 with low occupation satisfaction due to insufficient social security coverage and limited well-being, despite relatively high income. Based on the analysis of differences in demographic variables and structural equation modeling, the factors affecting the well-being of migrant gig workers are studied, which mainly are occupation satisfaction, social interaction, and social security. The results show that occupation satisfaction is positively affected by family characteristics, social interaction, and social security. In addition, family characteristics and social security positively impact social interaction, but the former has no significant effect on well-being. Finally, this paper enriches the research on the well-being of specific migrant gig workers and gives policy suggestions for enhancing the well-being of migrant gig workers in Hangzhou city from the perspective of optimizing the mechanism, pilot construction, and platform provision.

Measuring Well-Being of Migrant Gig Workers: Exampled as Hangzhou City in China

In 2020, the COVID-19 pandemic had a major impact on China’s foreign trade. Therefore, the Chinese government has proposed a “dual cycle” policy to promote economic development. In 2021, China’s cross-border e-commerce B2B exports accounted for 60 percent. Therefore, this paper studies the impact of government actions on the development of cross-border e-commerce B2B export enterprises under the background of “dual cycle” policy. First, the policies related to the cross-border e-commerce industry in the “dual circulation” policy are screened, and the LDA topic model is used to classify them, i.e., sorting by topic intensity as “fiscal policy”, “tax policy”, “customs clearance policy”, “payment policy” and “talent policy”. After that, based on the analysis results of the LDA topic model, a theoretical basis for the impact of different policies on cross-border e-commerce B2B export companies is established; then an evolutionary game model between the government and cross-border e-commerce B2B export enterprises is constructed. This article also carried out experiments to verify our analysis. The simulation results show that: (1) The government’s appropriate increase in subsidies, tax incentives, infrastructure investment, talent introduction and cultivation, optimized payment system, and supervision can promote enterprises to participate in cross-border e-commerce B2B export trading; (2) excessive government supervision reduces enterprises’ enthusiasm to participate in cross-border e-commerce B2B export trading; (3) the government’s subsidies, tax incentives, and supervision strength have the greatest impact on whether enterprises participate in cross-border e-commerce B2B export trading, followed by the government’s investment in cross-border e-commerce infrastructure, the introduction and cultivation of cross-border e-commerce talents, and the improvement of the payment system. Finally, this paper puts forward relevant policy recommendations to promote the development of cross-border e-commerce B2B export enterprises.

The Impact of Government Behavior on the Development of Cross-Border E-Commerce B2B Export Trading Enterprises Based on Evolutionary Game in the Context of “Dual-Cycle” Policy

The US state of Georgia includes the range of several periodical cicada broods and is the southernmost state in which Brood X periodical cicadas emerge; however, no research has focused on this brood in this state. We used reports of sightings on social media, communication with the public, and our own searches to determine the geographic range in Georgia and timing of biological events. Both adults and exuviae were identified to species to determine the species makeup at those locations. The first Brood X adult was photographed on April 26 in Lumpkin County, and Magicicada septendecim L. was the most common species. Online records and site visits led to distribution records in nine counties, including six that provided no records in the 2004 emergence. Driving surveys revealed patchy distributions of chorusing adults and species distribution modeling further predicted locations where Brood X can be found in future surveys. We observed cicada oviposition scars at two locations and found no effect of host plant on presence or density of scars. Lastly, collections of dead adults showed female remains were less common and more likely to be dismembered. Further investigations of the periodical cicadas in Georgia are recommended to better understand the phenology, evolution, and ecology of these remarkable insects.

The 2021 emergence of Brood X periodical cicadas <i>Magicicada</i> spp. (Hemiptera: Cicadidae) in Georgia, United States of America

Native plants may coevolve with native arthropods and may be associated with greater arthropod diversity than non-native plants. Thompson Mills Forest, a state arboretum owned by the University of Georgia and located in Braselton, GA, is home to a variety of oak (Quercus L., Fagacaeae) species, both native and non-native to Georgia. Arthropods were sampled from 20 trees belonging to 12 species, 8 native and 4 non-native, using beat sheets for 10 consecutive weeks in 2018. More than 500 arthropods were collected, with Coleoptera, Araneae, and Psocodea comprising more than 70% of the arthropods collected. Neither abundance nor Shannon index varied among trees of native or non-native origin or among tree species, although both variables peaked during the middle of the sampling period. Multivariate analyses showed similar arthropod communities were associated with native and non-native oaks. The results suggest that non-native plants may naturalize and, if so, may interact with arthropod communities in similar ways as native congeners. Further research into the long-term ecological interactions with non-native plants is recommended.

Arthropod Associations Show Naturalization with Non-Native <i>Quercus</i> Species in the Georgia Piedmont

This chapter examines the history of peace in Europe beginning with an early sixteenth-century call to religious freedom that culminated in the late nineteenth century with widespread peace movements. It investigates how traditional nation-state methods to resolve war through treaty and diplomacy conflicted with popular notions of peace, leading to protests of the marginalized in their efforts to transcend negative peace and counter militarism. Within each era, traditional centers of authority were challenged by historically ignored voices in social movements protesting for a new relationship within societal and political constituencies. This contribution highlights how peace worked at the intersections and fissures during the great upheavals of the Reformations, Age of Enlightenment, and the Age of Imperialism.

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