A Text-Based Competition Network

This paper utilizes nonfinancial information disclosure to develop a measure of text-based competition network. Using the data of China's listed firms, the authors adopt the textual analysis method to identify a unique group of competitors for the focal firm and construct the text-based competition network. In the whole network, leading firms receive increasing attention from competitors, and they play a vital role for the dynamic changes in the whole market. Moreover, the interactions between the focal firm and competitors in the text-based competition network are shown by some financial indicators. The characteristics of the text-based competition network have a significant impact on the future performance of the focal firm. Finally, economic links in the competition network are discussed by varying the number of competitors, which shows the impact of various competitors on economic similarities. The text-based competition network shows the relative importance of competitors for the focal firm and explains firms' decision-making from the perspective of dynamic competition.

Does media sentiment affect stock prices? Evidence from China's STAR market

Objective

This paper explores the impact of media sentiment on stock prices on the Shanghai Stock Exchange Science and Technology Innovation Board (hereinafter the STAR market) from a behavioral finance perspective.

Methods

We collect Baidu News coverage of STAR-listed firms as the text, and measure text sentiment using a machine learning-based text analysis technique. We then empirically examine the impact of media sentiment on STAR market stock prices from two aspects: IPO pricing efficiency and IPO first-day stock performance.

Results

(1) Media sentiment has no significant impact on IPO pricing efficiency, thus suggesting that institutional investors participating in such offerings are generally not affected by media sentiment. (2) Optimistic media sentiment has a positive impact on IPO first-day returns, which indicates that individual investors are more easily influenced by media sentiment and therefore likely to abandon their rational judgment. (3) Media sentiment had a greater impact on IPO first-day returns during the COVID-19 pandemic than those before it, which suggests that individual investors are more influenced by media sentiment during pandemics.

Discussion

Our findings deepen the understanding of stock price formation on the STAR market, which provide a statistical basis for formulating policy directions and investment strategies.

Entrepreneur Hubris, Organizational Ambidexterity, and Dynamic Capability Construction

This paper demonstrated the influences of initiation, development, turn-down, and reinitiation of the dynamic capability of an entrepreneurial firm in the solar energy industry. The focus is on the impact of entrepreneurial hubris, which may affect the decision of ambidexterity that can vitalize dynamic capability. The findings indicate that, when the major decision maker (the founder entrepreneur) has the trait of hubris, the decision-making process may be overly arbitrary, and a decision of being exploratory or exploitative alone is likely to be made. On the contrary, when the founder entrepreneur is aware of the hubris and shares decisive power, the decision of being ambidextrous as a dynamic capability is more freely achieved. This paper contributes by discovery of the cognitive-based microfoundation of entrepreneurial ventures and linkage of such microfoundation to organizational ambidexterity.

The Role of Entrepreneur Cognition on Core Rigidity

Against the backdrop of economic internationalization and market globalization, the world has witnessed faster competitive contents with a more dynamic market environment, a more rapid technological innovation, and more diverse customer needs. Thus, for every enterprise especially led by entrepreneurs, the focus is to maintain the sustainability of competitive advantages and dynamically transform core capacity to avoid rigidity. This paper introduces the process of the deepened rigidity in WS Co. Company, which occurs due to the wrong cognition of Dr. S and his teams who managed or failed to respond to the rigidity encountered by the company during different periods. The rigidity of its capacity is believed to be caused by the cognitive errors of the entrepreneur and his team facing every period of potential rigidity, which makes them fail to deal with it (or choose the wrong methods), thus leading to complete rigidity. This paper intends to explain how rigidity takes shape from the cognitive aspect of senior managers, which may serve as illuminations for the similar enterprises led by entrepreneurs.

How Fast Are the Asian Countries Progressing Toward Green Economy? Implications for Public Health

Monitoring progress toward green economy has been a key policy focus globally. The purpose of our study is to assess Asian countries' green development performance and also the progress toward green economy overtime. To achieve this goal, we propose a green development index (GDI) to assess the level and ranking of green development for Asian countries, and then we measure the progress toward green economy by the method based on the compound annual growth rate (CAGR). The result shows that the northeast Asian countries together with Singapore and Israel are leaders in green development performance across Asia, but the most progress toward green economy has been achieved by some medium green development level countries, like China. Countries with the fastest movement away from green economy are some laggard countries with poor green development performance, such as Syria and Yemen. More generally, the leading countries have reached a high green development level, and the medium ones move fast toward green economy, whereas some laggards get worse. We also discuss the implications for public health in environmental protection, green consumption, and green production.

Technology-Enabled Mobilization in the Emergence of a Value Co-Creating Ecosystem

Mobilization has been an important management issue in business interaction, but the role of technology in the mobilization process is little investigated, particularly with regard to the rising phenomena of platforms and ecosystems. This research attempts to explore the concept of technology-enabled mobilization by dealing with the question of how technology facilitates a mobilizing process that drives the emergence of a value co-creating ecosystem. This research question is investigated through a single case study that looked at an agricultural enterprise's business development for almost three decades, in which key stakeholders were attracted to engage in collective collaborations, resulting in an interdependency and value co-creating system. The case findings permit us to develop implications, particularly the notions of service-based and technology-enabled mobilizations.

Digital Technology, Knowledge Level, and Food Safety Governance: Implications for National Healthcare System

Exploring the intrinsic relationship between digital technology and the efficiency of food safety supervision contributes to a better understanding of the role of digital technology in food safety supervision and how to maximize its influence. This study employed sample data from 31 regions in China between 2015 and 2017 for an empirical analysis of the correlation between the two and to examine the moderating effects of the knowledge levels of food producers and consumers. The results show that the development of digital technology contributes to enhancing the efficiency of food safety supervision. In this process, the higher the knowledge level of consumers, the greater the positive promotional effect of digital technology. On the contrary, when the knowledge level of producers is higher, it is not conducive to enhancing the effect of digital technology on the efficiency of food safety supervision. The author holds the view that this is related to the fact that employees in the food production and manufacturing industry have insufficient moral and legal knowledge. This not only limits the effect of digital technology on enhancing the efficiency of food safety supervision, but also opens the door to illegal production for some unprincipled producers. The policy implications are that digital technology should be used to improve food safety supervision, the moral and legal knowledge of food producers should be improved, and consumers should be encouraged to use digital technology more in the pursuit of food safety. Implications for national healthcare system would be also discussed in our paper.

Sustainable Development of African Countries: Minding Public Life, Education, and Welfare

Sustainable development (SD) has increasingly played a key background role in government policymaking across the world, especially for the least developed countries in Africa. Therefore, the purpose of our research is to study the SD of African countries in public life, education, and welfare, and then to help policy makers better monitor the status of sustainable development and formulate development policies in these aspects. We firstly propose a new method to assess the SD in public life, education, and welfare. Then we assess the SD status in 51 African countries as well as other countries in the world. After that, we also make a comparison between African countries and the countries in other continents.

Enterprise Food Fraud in China: Key Factors Identification From Social Co-governance Perspective

Food fraud not only exacerbates human public health risks but also threatens the business development of food and related industries. Therefore, how to curb food fraud effectively becomes a crucial issue for governments, industries, and consumers. Previous studies have demonstrated that enterprise food fraud is subject to joint influences of factor at various hierarchical levels within a complex system of stakeholders. To address enterprise food fraud, it is necessary to identify the key such factors and elucidate the functional mechanisms, as well as systematic analysis of the interrelationships among clusters and factors. Hence, we grounded on a social co-governance perspective and investigated the food fraud key influencing factors and their interrelationships in an emerging food market – China, by using the DEMATEL-based analytic network process (DANP). Results showed that the identified key cluster was government regulation, social governance, and detection techniques. Four other key factors were also identified, including government regulatory capability and penalty intensity, expected economic benefits, maturity of market reputation mechanism, and transparency of supply chain. Policy implications from the social co-governance perspective for China and similar economies are discussed finally.

Every coin has two sides: the impact of time pressure on employees’ knowledge hiding

Purpose

Time pressure is the most common kind of work pressure that employees face in the workplace; the existing research results on the effect of time pressure are highly controversial (positive, negative, inverted U-shaped). Especially in the era of knowledge economy, there remains a research gap in the impact of time pressure on individual knowledge hiding. The purpose of this paper is to explore the impact of different time pressure (challenge and hindrance) on knowledge hiding and to explain why there is controversy about the effect of time pressure in the academics.

Design/methodology/approach

The authors collected two waves of data and surveyed 341 R&D employees in China. Moreover, they used regression analysis, bootstrapping and Johnson–Neyman statistical technique to verify research hypotheses.

Findings

The results show that challenge time pressure (CTP) has a significant negative effect on knowledge hiding, whereas hindrance time pressure (HTP) has a significant positive effect on knowledge hiding; job security mediates the relationship between time pressure and knowledge hiding; temporal leadership strengthen the positive impact of CTP on job security; temporal leadership can mitigate the negative impact of HTP on job security.

Originality/value

The findings not only respond to the academic debate about the effect of time pressure and point out the reasons for the controversy but also enhance the scholars’ attention and understanding of the internal mechanism between time pressure and knowledge hiding.

Service Marketing in Online Shopping Platform: Psychological and Behavioral Dimensions

This conceptual analysis critically discusses how service marketing is workable for online shopping platforms and how important service-related and influenced factors played their roles the aforementioned issue. The concepts of service, service marketing, and related factors were re-visited, or at least reflected, in the new context of online platforms. Mostly, we framed the essence and importance of those discussed factors from the psychological and behavioral angles. Implications for theory, practices, and policy-making were offered seriously.

Fuzzy Logic Analysis for Key Factors for Customer Loyalty in E-Shopping Environment

Due to subjective evaluation and qualitative characteristics, the assessment processes of loyalty often cannot use the crisp value to express the final value. That makes the evaluation of online store performance usually filled with uncertainty and ambiguity. The loyalty assessment of electronic shopping is complex, and online stores' strategy and production control problems are frequently accompanied by uncertain conditions. This study constructs a conceptual model to leverage the fuzzy logic approach for understanding the consumers' decision-making in the e-service context of shopping. This study also exposes the relationships between system quality, information quality, and service quality to understand their impacts on customer loyalty. Implications and future research directions for service providers and researchers are discussed.

A Cloud-Based Recognition Service for Agriculture During the COVID-19 Period in Taiwan

The great popularity of cloud services, together with the increasingly important aim of providing Internet context-aware services, has spurred interest in developing diverse agriculture applications. This paper presents a cloud-based service built by incrementally integrating state-of-the-art models of deep learning, photography, object recognition and the multi-functionalities of cloud services. This study consists of an object detection phase with a convolutional neural network (CNN) model, which involves enabling simultaneous image data gathered from drones. The experimental results show 97% accurate watermelon recognition. Our results also include a two-model comparison in the cloud-based service, with the main findings demonstrating the feasibility of developing accurate object recognition using a CNN model without the need for additional hardware. Finally, this study adopted a confusion matrix to validate the result with RetinaNet for recognizing images taken on the watermelon farm with an average precision in recognizing watermelon quantity of up to 98.8%.

Effect of Mobile Health Technology on Weight Control in Adolescents and Preteens: A Systematic Review and Meta-Analysis

Childhood obesity is a crucial public health concern. In recent years, numerous studies have employed mobile health technology applications for weight control in children but obtaining varying effects. We conducted a meta-analysis to discuss the effectiveness of mobile health technology in reducing the body mass index (BMI) of obese children. The standardized mean difference (SMD) in BMI between the intervention and control groups was employed to measure the effect of mobile health technology intervention on weight control. The Comprehensive Meta-Analysis Version 3 software was employed for meta-analysis, and the results are presented in a forest plot. This study included nine randomized control trials, which featured a total of 1,202 participants. The meta-analysis revealed that mobile health technology intervention did not have a significant weight loss effect on subjects with obesity. However, by using ethnicity as a moderating variable for subgroup analysis, we discovered that the BMI of ethnic Chinese groups who received mobile health technology intervention was significantly lower than that of the control group. This effect was not significant in the non-ethnic Chinese subgroup. Therefore, the use of mobile health technology intervention for weight control in ethnic Chinese children resulted in significantly lower BMI in these children; however, the use of mobile health technology intervention for weight control is unsuitable for non-ethnic Chinese children.

Corrigendum: Social Innovation for Food Security and Tourism Poverty Alleviation: Some Examples From China

[This corrects the article DOI: 10.3389/fpsyg.2021.614469.].

Social Innovation for Food Security and Tourism Poverty Alleviation: Some Examples From China

The COVID-19 pandemic has brought hunger to millions of people around the world. Social distancing measures coupled with national lockdowns have reduced work opportunities and the overall household incomes. Moreover, the disruption in agricultural production and supply routes is expected to continue into 2021, which may leave millions without access to food. Coincidentally, those who suffer the most are poor people. As such, food security and tourism poverty alleviation are interlinked when discussing social problems and development. While the corporate interest in tourism poverty alleviation is as old as the industrial revolution, little research has been conducted to show how social innovation can be leveraged to reinforce food security and alleviate poverty. Thus, this case study examines the food industry in rural China to establish how it conducts social innovation in food production and distribution to facilitate social development and mitigate poverty.

Intellectual Capital and Financial Performance: Comparison With Financial and Pharmaceutical Industries in Vietnam

This study investigates the impacts of intellectual capital through Value-Added Intellectual Capital (VAIC) and its components: human capital efficiency (HCE) and structural capital efficiency (SCE) on financial performance in terms of return on assets (ROA) and return on equity (ROE). In addition, this study compares the effects between firms from financial and pharmaceutical industries. A total of 149 Vietnamese firms comprising of 108 financial firms and 41 pharmaceutical firms were examined. Based on the findings, VAIC and HCE show beneficial impacts on both financial performance measures, ROA, and ROE. However, SCE shows adverse and beneficial implications on ROA and ROE, respectively. In terms of industry comparison, VAIC has positive effects on ROA and ROE among the firms from financial industry, whereas it has no effect in the firms from pharmaceutical industry. The effect of HCE on ROA is stronger in the firms from financial industry than firms from pharmaceutical industry while the effect of HCE on ROE is stronger in the firms from pharmaceutical industry than firms from financial industry. The effect of SCE on ROA is stronger in the pharmaceutical firms than financial firms while the effect of SCE on ROE is stronger in the financial firms than pharmaceutical firms. Lastly, the implications of the importance of knowledge-based resources on value creation were elaborated.

Learning a Phenotypic-Attribute Attentional Brain Connectivity Embedding for ADHD Classification using rs-fMRI

Automated diagnosis of Attention Deficit/Hyperactivity Disorder (ADHD) from brain's functional imaging has gained more interest due to its high prevalence rates among children. While phenotypic information, such as age and gender, is known to be important in diagnosing ADHD and critically affects the representation derived from fMRI brain images, limited studies have integrated phenotypic information when learning discriminative embedding from brain imaging for such an automatic classification task. In this work, we propose to integrate age and gender attributes through attention mechanism that is jointly optimized when learning a brain connectivity embedding using convolutional variational autoencoder derived from resting state functional magnetic resonance imaging (rs-fMRI) data. Our proposed framework achieves a state-of-the-art average of 86.22% accuracy in ADHD vs. typical develop control (TDC) binary classification task evaluated across five public ADHD-200 competition datasets. Furthermore, our analysis points out that there are insufficient linked connections to the brain region of precuneus in the ADHD group.

Avian Influenza-Factors Affecting Consumers' Purchase Intentions toward Poultry Products

Recently, continuing outbreaks of avian influenza in China have not only caused great loss to the agricultural sector but also brought fear and distrust to consumers, seriously undermining consumer confidence in chicken products. We investigated consumers' purchase intentions during avian influenza outbreaks by examining a regionally representative sample of 330 consumers in Guangzhou. With respect to 7 kinds of attributes, the ordered logit analysis indicated that possible health threat and uncertainty of the origin of poultry products may cause concern among consumers and cause them to avoid purchasing chicken products. Media reports have a great influence on consumers' intentions to purchase chicken products during avian influenza outbreaks. Overall, this study suggests establishing an effective mechanism of public knowledge (of chicken products' safety and quality) enhancement, in order to curb misleading media reports during avian influenza outbreaks.

Knowing what we know differently

Purpose

Building on knowledge-based view and demographic diversity theory, the purpose of this paper is to re-conceptualize knowledge heterogeneity (KH) (i.e. diversity in individual or organizational knowledge) and to explore a broader set of relationships between KH and the multidimensional (i.e. dynamics and ambidexterity) innovation.

Design/methodology/approach

Case studies of organizational KH and innovation ambidexterity were conducted in four representative companies with variated characteristics. Similarities in the heterogeneity-innovation relationships were identified across four very different types of companies, providing a good exploratory base for future large-scale empirical studies.

Findings

Grounding on locus-of-knowing and timing-of-knowing dimensions, this paper utilizes an inductive approach that analyzes qualitative materials to construct the essential meanings of intraorganizational KH, and to explore the influences KH brings onto the ambidextrous innovation. A four-category typology of KH is emerged. Overall, KH is categorized into four distinctive but inter-related forms: individual professional backgrounds, collective profession backgrounds, individual evolving knowledge portfolio, and collective evolving knowledge portfolio.

Research limitations/implications

Building on such typology, this paper discusses propositions for the differentiated influences of different forms of KH on dynamic and ambidextrous innovations.

Originality/value

Whereas individual knowledge benefits independent creativity, complex collective knowledge is more critical for organizational innovation. While research has placed more emphasis on the effects of knowledge accumulation or flow, it neglects the knowledge profile and structure for innovation. The present study explores the effect of heterogeneous knowledge structure on dynamic and ambidextrous innovation.

Examining media effectiveness across cultures and national borders: A review and multilevel framework

We explore the ways that perceptions of media effectiveness are affected by the societal culture, organizational culture, occupational (professional) culture, individual characteristics, and technology acceptance. This is an important subject to explore, as communication is essential to organizational functioning. The continuous drive for communication to individuals in different national and organizational situations around the world, due in part to globalization, leads us to ask: which medium is perceived as the most effective for each of the tasks a manager may be called upon to perform, particularly in different cultures? In other words, is the receiver getting the message that we intend, when the receiver is not in the same situation (societal, organizational, professional, etc.) as the sender? There are contexts of shared values, rules, and experiences that affect communication; words do not have the same meaning and value across languages and cultures (Macnamara, 2004). This means that the message sent from one context may not be the message received in another. If we are not communicating the messages we intend, then our method of communicating may be efficient, but it is certainly not effective. However, there is little research on the effectiveness of media types. We develop a framework highlighting the intersection of variables salient to effectiveness: societal, organizational, and occupational culture, individual characteristics, and technology the sender? In the conclusion, we suggest future work that might be appropriate, given the increasing interest in global communication.

The value of 18F-fluorodeoxyglucose positron emission tomography with the additional help of tumor markers in cancer screening

Cancer screening is a major healthcare issue. Screening modalities are constantly changing due to improvements in technology. Whole body positron emission tomography (PET) with 18F-fluoro-2 deoxy-D-glucose (FDG) and the additional help of the serum levels of tumor markers have been considered as non-invasive methods for cancer screening in asymptomatic subjects. A total of 1283 subjects underwent whole-body FDG PET studies with the additional help of the serum levels of tumor markers in our center for cancer screening. The final diagnoses were confirmed by other imaging modalities or pathological findings in subjects with positive FDG-PET findings, and follow-up for at least 6 months were held in subjects with negative FDG-PET findings. Among a total of 18 (1.4%) subjects with cancers, FDG-PET detected cancers in 15 (1.2%) subjects but with false negative studies in 3 subjects with hepatoma (AFP = 129.6 ng/ml), prostate cancer (PSA = 25.1 ng/ml), and breast cancer (CEA and CA-153 were normal). False-positive FDG-PET studies were found in 24 (1.9%) subjects. However, none had abnormal serum levels of tumor markers. Whole body FDG-PET with the additional help of tumor markers could reduce the false negative and false positive results of FDG-PET only.