Government and dealer regulatory decisions on producer illegal production in China's food supply chain.

Illegal food production in China has proliferated in recent years, triggering serious public concerns on food safety. In this work, we model a regulatory event in a food supply chain comprising a local government, a dealer, and a producer involved in illegal food production, and get equilibrium regulatory decisions of the government and the dealer, and equilibrium production decisions of the producer. The results show that: 1) in a situation where the producer is likely to produce illegally, the government does not regulate, and implements insufficient or sufficient regulation according to the utility-cost ratio of regulating. 2) The regulatory decisions of the dealer depend not only on the regulatory decisions of the government but also on the utility-cost ratio of regulating. 3) Only when the joint regulatory intensity of the government and the dealer is not less than a certain threshold value, the producer will not produce illegally, and the threshold value is the optimal regulatory intensity jointly implemented by the government and the dealer. Otherwise it is ineffective, inadequate, or excessive regulation. Therefore, we suggest that the government and the dealer jointly make regulatory decisions to achieve optimal regulation at the lowest regulatory cost and evade illegal food production by the producer.

Exploring rumor behavior during the COVID-19 pandemic through an information processing perspective: The moderating role of critical thinking.

In the midst of the pervasive disruption caused by the proliferation of rumors, it is unclear how individuals react to such information. Guided by the SOR theory (Stimuli-Organism-Response), our study investigates the association between different information sources (stimuli), emotions experienced by individuals (organism), and resulting rumor behaviors such as sharing and refuting (response). Furthermore, we examine the moderating role of individual critical thinking in this process. Using the COVID-19 pandemic as a study scenario, we collected questionnaire data from 4588 respondents. Our results reveal a large positive association between pandemic-related information and feelings of fear. Additionally, a medium negative correlation between fear and rumor sharing was observed while a moderate positive correlation between fear and rumor refuting was identified. Moreover, we found that individual critical thinking abilities can effectively moderate the relationship between fear and online COVID-19-related information and strengthen the link between fear and rumor sharing while weakening the link between fear and rumor refuting. Additionally, our study indicates that an individual's fear plays a mediating role in the relationship between information sources and rumor behavior. Our findings shed light on the information processing mechanisms underlying rumor behaviors and yield practical and policy implications for managing them.

Risk profiling of food security impediments using decision maker's behavioural preference towards operational risk management.

For different decision makers, their approach towards management of operational risks differs due to difference in background and behavioural preferences. For such reasons, they attach different importance to various perspectives to manage operational risks. Present study conducts and analyses risk profiling of food security impediments, in which operational risk has come up as an important impediment. Based on three perspectives namely, social, economic, and operational, the research first evaluates severity of impediments in food security. Risk profiling is then conducted on the basis of decision makers' preferences towards different perspectives. Integration of fuzzy set theory and evidential reasoning algorithm along with decision makers' behavioural preferences have been used for the analysis. The proposed model generates a continuum of scenarios towards relative importance of three perspectives. It is observed that despite changing the importance of perspectives, a few risks show robustness in their severity, while other ones are sensitive to small changes. Based on these dynamic changes in risk-percept, insightful risk profiling is presented in this research. The risk profiling approach uniquely helps decision makers to adequately plan their course of actions to deal with operational risks associated with food security.

Recent Advances in the Processing and Manufacturing of Plant-Based Meat.

Plant protein technology is a core area of biotechnology to ease the problem of human protein demand. Plant-based meat based on plant protein technology is a growing concern by global consumers in alleviating environmental pollution, cutting down resources consumption, and improving animal welfare. Plant-based meat simulates the texture, taste, and appearance of animal meat by using protein, lipid, carbohydrate, and other plant nutrients as the main substances. This review summarizes the main components of plant-based meat, processing technology, standard formula, market competition, and formula and texture of future research directions. According to the existing methods of plant-based meat fiber forming, the development process and characteristics of four production processes and equipment of plant-based meat spinning, extrusion, shearing, and 3D printing are emphatically expounded. The processing principles and methods of different processing technologies in plant-based meat production are summarized. The production process and equipment of plant-based meat will pay more attention to the joint production of various processes to improve the defects of plant-based meat production process.

How does physicians' educational knowledge-sharing influence patients' engagement? An empirical examination in online health communities.

Online health communities (OHCs) are popular channels increasingly used by patients for acquiring professional medical knowledge to manage their own health. In OHCs, physicians provide not only consultation services but also educational medical knowledge to improve patient education. So far, it remains unknown regarding how the educational medical knowledge sharing influence engagement of patients in OHCs. Drawing on the signaling theory, we examined the effects of paid vs. free knowledge-sharing of physicians on patients' engagement behaviors (i.e., patient visit and patient consultation). Data collected from one of the largest OHCs in China show that both paid and free knowledge-sharing are favorable for patients' engagement. Particularly, these two types of knowledge-sharing vary in their impacts. Moreover, physicians' registration duration in OHCs has a positive moderating effect on the relationship between physician's knowledge-sharing and patient engagement. Managers seeking to engage patients at OHCs are advised to share educational medical knowledge to entice them and the patient engagement is more salient for the knowledge shared by physicians active at the platforms for longer time history.

Optimal Carbon Abatement Strategy for Manufacturers under Cap-and-Trade.

Carbon emission abatement is very important for manufacturers regulated by environmental policies. However, choosing an optimal carbon abatement strategy is difficult for many firms. This paper attempts to explore the appropriate carbon abatement strategy for firms that are regulated by cap-and-trade. Specifically, by bringing remanufacturing into consideration, this paper examines a manufacturer that has four alternative carbon abatement strategies: (1) do nothing, (2) invest in carbon abatement, (3) engage in remanufacturing, or (4) become involved in investment and remanufacturing together. The models of these four strategies are first developed in a monopolistic operating environment. The results show that among the four carbon abatement strategies, although the fourth strategy has the highest costs, it generates the largest profits for the manufacturer, passes the greatest benefits along to consumers, and has the best environmental performance. Next, this study is extended to a competitive environment. The results show that the optimal strategy in the monopolistic environment no longer maximizes profits, and decision guidance is offered for the manufacturer operating under such an environment.

Understanding the Antecedents of the Routine Use of Mobile Health Services: A Person-Technology-Health Framework.

Although numerous studies have been conducted to understand the antecedents of usage of mobile health (mHealth) services, most of them solely focus on characteristics of mHealth services themselves but neglect taking users' psychological and health-related factors into consideration. Besides, the comprehensive understanding of what influences users' routine use intentions regarding mHealth services is lacking. Therefore, this study proposes a person-technology-health framework that underlines how personal factors (e.g., personal innovativeness in IT), technological factors (e.g., trust), and health factors (e.g., perceived health severity) jointly influence individuals' routine use intentions regarding mHealth services. The proposed research model and related hypotheses were tested based on survey data from 270 respondents. The results indicate that personal innovativeness in IT, trust, and perceived health severity are important for enhancing routine use intention of mHealth services. Specifically, in situations of high perceived health severity, trust relates less positively to routine use intention than personal innovativeness in IT. In contrast, in situations of low perceived health severity, trust relates more positively to routine use intention than personal innovativeness in IT. The research findings extend the existing literature on routine use intention related to mHealth services and provide significant implications for practitioners.

Digital supply chain management in the COVID-19 crisis: An asset orchestration perspective.

Although many firms are actively deploying various digital technology (DT) assets across their supply chains to mitigate the negative impact of the COVID-19 pandemic on operations, whether these DT assets are truly helpful remains unclear. To disentangle this puzzle, we investigate whether firms that have higher levels of DT asset deployment achieve better supply chain performance in the COVID-19 crisis than firms with lower levels. From an asset orchestration perspective, we focus on two dimensions of DT asset deployment: breadth and depth, which reflect the scope and scale of DT assets, respectively. The empirical results from 175 Chinese firms that have deployed DT assets to varying degrees reveal that both the breadth and the depth of DT asset deployment show positive relationships with supply chain visibility. In contrast, the depth but not the breadth of DT asset deployment poses a positive relationship with supply chain agility. Most importantly, high levels of supply chain visibility and supply chain agility were prerequisites for excellent supply chain performance in the COVID-19 crisis. We contribute to the digital supply chain management literature by uncovering the mechanism through which DT asset deployment generates impacts on supply chain performance from an asset orchestration perspective. Our study also assists firms in improving their digital transformation strategies to combat the COVID-19 pandemic.

How Do Patients with Chronic Diseases Make Usage Decisions regarding Mobile Health Monitoring Service?

Objectives: The increasing population of patients with chronic diseases generates great challenge of chronic disease management. The occurrence of mobile health monitoring service (MHMS) is beneficial to chronic disease prevention and health promotion. The objective of this study is to investigate how patients with chronic diseases make usage decisions on MHMS. Study Design: A survey. Methods: 213 respondents with chronic diseases were asked to rate their level of health severity, negative health emotions, and health uncertainty avoidance. SmartPLS was used to test the measurement model. Results: Of 213 research respondents, 159 of them have one chronic disease, while 54 have more than one such disease. Perceived health severity of patients with chronic diseases positively influences MHMS usage intentions, while negative health emotions do not. Health uncertainty avoidance strengthens the effect of health severity but weakens the effect of negative health emotions on MHMS usage intentions. Conclusion: Patients with chronic diseases have a unique decision-making process regarding MHMS usage in which their special health-related factors and tendencies play a critical role in determining behavioral intentions.

Promoting sustainability of manufacturing industry through the lean energy-saving and emission-reduction strategy.

The energy-saving and emission reduction (ESER) strategy is a crucial measure for promoting the sustainability of manufacturing industry in green transition. Analyzing current practices and limitations of the ESER in the manufacturing industry, this paper proposes a new concept entitled lean energy-saving and emission-reduction (LESER) and an approach to effectively improve the energy efficiency and reduce waste emissions. This paper illustrates the definition of the LESER and establishes an implementation framework for LESER to improve the manufacturing process. To quantify and evaluate performance of LESER, the state space model of the carbon footprint for energy consumption and waste discharge is established. A method for implementing the LESER strategy is constructed in the following steps: (i) clarification of the current situation; (ii) analysis of the root cause; (iii) improvement; (iv) evaluation of the carbon emissions; (v) sustaining and standardizing. Finally, the LESER strategy is applied to the Zcrubber Group Co. Ltd., which is characterized with high pollution, high energy consumption, and high emission in green transition. Results demonstrate practicability of the proposed strategy to offer an effective measure for promoting sustainability of manufacturing industry.

Investigating the Adoption of Mobile Health Services by Elderly Users: Trust Transfer Model and Survey Study.

BACKGROUND: Although elderly users comprise a major user group in the field of mobile health (mHealth) services, their adoption rate of such services is relatively low compared with their use of traditional health services. Increasing the adoption rate of mHealth services among elderly users is beneficial to the aging process. OBJECTIVE: This study aimed to examine the determinants of mHealth service use intentions using a trust transfer model among elderly users facing declining physiological conditions and lacking support from hospitals. METHODS: A survey comprising 395 users aged 60 years and above was conducted in China to validate our research model and hypotheses. RESULTS: The results reveal that (1) trust in mHealth services positively influences use intentions, (2) trust in offline health services positively influences trust in mHealth services, (3) declining physiological conditions strengthen the effects of trust in offline health services regarding trust in mHealth services, (4) support from hospitals weakens the effects of trust in mHealth services on use intentions, and (5) the relationship between trust in offline health services and intention to use mHealth services is partially mediated by trust in mHealth services. The independent variables and moderators collectively explain a 48.3% variance in the use intention of mHealth services. CONCLUSIONS: We conclude that the trust transfer theory is useful in explaining the development of initial trust in mHealth services. In addition, declining physiological conditions and support from hospitals are important factors for investigating the adoption of mHealth services among elderly users.

From intention to action: How do personal attitudes, facilities accessibility, and government stimulus matter for household waste sorting?

There is a notable discrepancy between intention on household waste sorting and the actions taken to support this environmental initiative among residents in China. This study aims to explore the influences of personal attitudes, facilities accessibility, and government stimulus on this discrepancy. Built on an integrated framework of Theory of Planned Behaviour (TPB) and Norm Activation Model (NAM), this study examines the relationship between intention and household waste sorting behaviour considering the psychological behavioural antecedents and circumstantial constraints among Chinese residents. Results from a questionnaire survey administered in China confirm the discrepancy, and show that the link between intention and behaviour on waste sorting is weakened after adding the influencing paths from the factors of facilities accessibility and government stimulus to waste sorting behaviour: however, the presence of these two factors directly promote waste sorting behaviour, but do not moderate the intention-behaviour relationship as their interaction items with behavioural intention are not significantly related to waste sorting behaviour. Furthermore, the personal norm is found to be the major factor influencing intentions of Chinese residents towards waste sorting while both subjective norms and perceived behavioural control were unexpectedly found to have no significant influence thereon. These findings are useful for promotion and planning of waste sorting by policy-makers to ease the waste disposal problem.

Nonlinearities in personalization-privacy paradox in mHealth adoption: the mediating role of perceived usefulness and attitude.

BACKGROUND AND OBJECTIVE: Personalization in healthcare refers to individualizing services and products based on patients' health conditions and interests. In order to deliver highly personalized offerings, mHealth providers need to use patients' health information, which provokes patients' concerns over personal health information leakage. So the personalization-privacy paradox is an important issue in the mHealth context. To gain a better understanding of this paradox, we take the personalization and privacy paradox factors as independent variables, incorporating the nonlinear relationships between personalization and privacy, and take attitude and perceived usefulness as middle variables to study mHealth adoption. METHODS: The hypothesized model is tested through an empirical research of a 489-respondent sample in China. PLS is used for data analysis. KEY FINDINGS: (1) Personalization and privacy are found to influence mHealth adoption intention via attitude and perceived usefulness; (2) there is a substitution relationship, also called negative synergy between personalization and privacy in mHealth contexts; (3) attitude mediates the effect of perceived usefulness on intention, indicating a significant role of attitude.

Understanding gender differences in m-health adoption: a modified theory of reasoned action model.

BACKGROUND: Mobile health (m-health) services are becoming increasingly popular in healthcare, but research on m-health adoption is rare. This study was designed to obtain a better understanding of m-health adoption intention. MATERIALS AND METHODS: We conducted an empirical research of a 481-respondent sample consisting of 44.7% women and 55.3% men and developed a modified theory of reasoned action (TRA) model by incorporating the nonlinearities between attitude and subjective norms and the moderating effect of gender. RESULTS: The results indicate that, based on the study population in China: (1) facilitating conditions, attitude, and subjective norms are significant predictors of m-health adoption intention; (2) the model including the nonlinearities enhances its explanatory ability; (3) males enjoy a higher level of m-health adoption intention compared with females; (4) the modified TRA model can predict men's behavior intention better than that of women; and (5) males have an Edgeworth-Pareto substitutability between attitude and subjective norms in predicting m-health adoption intention. CONCLUSIONS: Thus, we found gender differences in m-health adoption from the perspective of social psychology.

Effects of national culture on human failures in container shipping: the moderating role of Confucian dynamism.

Recent reports on work safety in container shipping operations highlight high frequencies of human failures. In this study, we empirically examine the effects of seafarers' perceptions of national culture on the occurrence of human failures affecting work safety in shipping operations. We develop a model adopting Hofstede's national culture construct, which comprises five dimensions, namely power distance, collectivism/individualism, uncertainty avoidance, masculinity/femininity, and Confucian dynamism. We then formulate research hypotheses from theory and test the hypotheses using survey data collected from 608 seafarers who work on global container carriers. Using a point scale for evaluating seafarers' perception of the five national culture dimensions, we find that Filipino seafarers score highest on collectivism, whereas Chinese and Taiwanese seafarers score highest on Confucian dynamism, followed by collectivism, masculinity, power distance, and uncertainty avoidance. The results also indicate that Taiwanese seafarers have a propensity for uncertainty avoidance and masculinity, whereas Filipino seafarers lean more towards power distance, masculinity, and collectivism, which are consistent with the findings of Hofstede and Bond (1988). The results suggest that there will be fewer human failures in container shipping operations when power distance is low, and collectivism and uncertainty avoidance are high. Specifically, this study finds that Confucian dynamism plays an important moderating role as it affects the strength of associations between some national culture dimensions and human failures. Finally, we discuss our findings' contribution to the development of national culture theory and their managerial implications for reducing the occurrence of human failures in shipping operations.

Circular economy practices among Chinese manufacturers varying in environmental-oriented supply chain cooperation and the performance implications.

The rapidly growing industrial activities in emerging economies such as China have been causing resource depletion and pollution problems. This reality requires China to adopt an integrated management approach to resolve the conflict between industrial development and environmental protection, and the concept of circular economy (CE) serves this purpose. In this paper, we examine if different types of manufacturing enterprises on environmental-oriented supply chain cooperation (ESCC) exist. We also determine if the Chinese manufacturer types varying in ESCC differ in their implementation of the CE practices towards achieving the CE-targeted goals on improving both environmental and economic performance. Our cluster analytic results with multivariate analysis of variance (MANOVA) among the four identified types of Chinese manufacturers varying in environmental-oriented supply chain cooperation highlight the importance to intensify the cooperation with upstream and downstream supply chain partners for a CE initiative to succeed.

Initiatives and outcomes of green supply chain management implementation by Chinese manufacturers.

This paper aims to explore the green supply chain management (GSCM) initiatives (implementation) of various manufacturing industrial sectors in China and examine the links between GSCM initiatives and performance outcomes. We conducted a survey to collect data from four typical manufacturing industrial sectors in China, namely, power generating, chemical/petroleum, electrical/electronic and automobile, and received 171 valid organizational responses for data analysis. Analysis of variance (ANOVA) was used to analyze the data. The results are consistent with our prediction that the different manufacturing industry types display different levels of GSCM implementation and outcomes. We specifically found that the electrical/electronic industry has relatively higher levels of GSCM implementation and achieves better performance outcomes than the other three manufacturer types. Implications of the results are discussed and suggestions for further research on the implementation of GSCM are offered.