Jianhong He

Dr. Jianhong He

orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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JHJianhong He
Jianhong He
YLYaling Lei
Yaling Lei
XFXiao Fu
Xiao Fu
Today, complex consumer purchase decisions affect company revolution, especially that dealing with environmental (green) innovation. Consumer preferences and pricing could interact in influencing green innovation. This situation is especially vital in industries that are characterized with many safety concerns that urge collaborative development between consumers and companies, such as the food industry. The aim of this paper is to explore the influence of the change in consumer preference characteristics on the green innovation efforts of the food supply chain, introducing the green preference of consumers and the reference price effect. A differential game model of green innovation in the food supply chain is constructed in this paper and solved. It was found that the change in consumer preference characteristics is an important factor to motivate supply chain members to make green innovation efforts. With the enhancement of consumer preference characteristics, the Pareto improvement effect of cost-sharing contracts on the profits of supply chain enterprises is clearer. Further, manufacturers can stimulate suppliers’ green innovation efforts through cost-sharing contracts. When the marginal profit ratio of food supply chain members reaches a certain threshold, the incentive effect of this cost-sharing contract is more significant, and it is more likely to realize the optimal profit of the food supply chain.

1 January 2020 in Sustainability
Verified
Journal Article
Open access
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JHJianhong He
Jianhong He
HCHongmin Chen
Hongmin Chen
Fu-Sheng TsaiFu-Sheng Tsai
Fu-Sheng Tsai
Based on the endogenous factors which can affect the strategy of international R&D of China’s enterprises, an analysis is carried out on the relationship between market- and technology-orientation of the strategy and the intensity of international R&D. In addition, the mediation effects of innovation capacity endowment are discussed. On this basis, 254 listed enterprises with overseas R&D institutions approved by the Ministry of Commerce of China were taken as the sample for survey administration. The poisson regression method was adopted to test the hypotheses. Additionally, we utilized the Bootstrap method to confirm the robustness of the regression models. Results show that for Chinese enterprises with significant international R&D strategy intentions, market orientation has a significant inhibitory effect on their international R&D intensity, while the technology orientation has a significant stimulating effect on international R&D. In addition, innovation capacity has a significant positive impact on the intensity of international R&D, and plays a partial mediating role in the relationship between technology orientation and international R&D. Therefore, to promote international R&D strategies in the era of high-quality economic development, Chinese enterprises are suggested to establish an innovation-oriented strategy orientation to promote innovation cultural heritage, and to strengthen the accumulation of innovative resources and capabilities.

JHJianhong He
Jianhong He
LZLei Zhang
Lei Zhang
XFXiao Fu
Xiao Fu
Fu-Sheng TsaiFu-Sheng Tsai
Fu-Sheng Tsai
We argue that a Nash bargaining model with behavioral factors (i.e., fairness concern and risk aversion) should be introduced to the price strategizing process in the context of a closed-loop supply chain. We consider three different pricing models: The first is when both the manufacturer and the retailer have fairness concerns; the second is when both the manufacturer and the retailer have risk aversion; and the final is when the manufacturer has risk aversion but the retailer has both risk aversion and fairness concern. Then we examine the model with game theory. The results have shown that fairness and risk aversion change the optimal pricing strategy, which affects the expected profits of retailers and manufacturers. The impacts of two (relatively irrational) behavioral factors on the wholesale and retail prices of new products, the recycle price and recycle transfer price of the waste products, are not the same. For new products, the wholesale price is most affected by behavioral factors and the sales price scores second. For waste recycling products, the transfer price is most affected by behavioral factors and the recycle price scores second. When considering fairness and risk aversion in retail, fairness concern is good for both manufacturers and retailers. This innovative pricing strategy model adds implications for sustainability in supply chain operations.

17 March 2022 in Frontiers in Public Health
Verified
Journal Article
Open access
JHJianhong He
Jianhong He
CHChenxu Hu
Chenxu Hu
CLChih-Chen Lin
Chih-Chen Lin
Service industries contribute significantly to the economic, social, and even life aspect of the world. However, service innovation has been rarely discussed in healthcare context, especially in the digital healthcare context Service innovation needs to be organized in the premise of mutual trust to be efficient, thereby improving service performance. The trust and efficiency here demands a good online platform service to both virtualize the interaction processes and maintain trust and agency. This research uses social network theory and agency theory to emphasize the importance of trust in cooperation in hospitals, and the relationship between organizational trust and organizational performance. Furthermore, we analyzed the role of agents in enhancing the relationship between service innovation and trust. Based on the analyses, five propositions and future research directions are proposed.

1 January 2016 in American Journal of Theoretical and Applied Business
Verified
Journal Article
Open access
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JHJianhong He
Jianhong He
BYBai Yusong
Bai Yusong
ZSZhang Shiyun
Zhang Shiyun
Based on a literature review, this paper classifies network capability into network vision capability, network constructing capability, and network management capability and constructs a model with explorative innovation and exploitative innovation being the mediating variables to analyze the influence of the three dimensions of network capabilities on innovation performance. We obtain 257 effective samples through questionnaire and verify every influencing path. Our findings show that the three dimensions of network capability have a positive effect on innovation performance, clear innovation strategy helps to improve innovation performance, different network capability structures result in different innovation strategy forms, and false innovation strategy forms weaken the effect of network capability on innovation performance.