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1 – 3 of 3This paper reviews recent research on the expected economic effects of developing artificial intelligence (AI) through a survey of the latest publications, in particular papers…
Abstract
Purpose
This paper reviews recent research on the expected economic effects of developing artificial intelligence (AI) through a survey of the latest publications, in particular papers and reports issued by academics, consulting companies and think tanks.
Design/methodology/approach
Our paper represents a point of view on AI and its impact on the global economy. It represents a descriptive analysis of the AI phenomenon.
Findings
AI represents a driver of productivity and economic growth. It can increase efficiency and significantly improve the decision-making process by analyzing large amounts of data, yet at the same time it creates equally serious risks of job market polarization, rising inequality, structural unemployment and the emergence of new undesirable industrial structures.
Practical implications
This paper presents itself as a building block for further research by introducing the two main factors in the production function (Cobb-Douglas): labor and capital. Indeed, Zeira (1998) and Aghion, Jones and Jones (2017) suggested that AI can stimulate growth by replacing labor, which is a limited resource, with capital, an unlimited resource, both for the production of goods, services and ideas.
Originality/value
Our study contributes to the previous literature and presents a descriptive analysis of the impact of AI on technological development, economic growth and employment.
Details
Keywords
Xiaogang Cao, Cuiwei Zhang, Jie Liu, Hui Wen and Bowei Cao
The purpose of this article is based on the unit patent license fee model in the closed-loop supply chain.
Abstract
Purpose
The purpose of this article is based on the unit patent license fee model in the closed-loop supply chain.
Design/methodology/approach
This paper analyzes the impact of the bundling strategy of the retailer selling new products and remanufactured products on the closed-loop supply chain under the condition that the original manufacturer produces new products and the remanufacturer produces remanufacturing products.
Findings
The results show that alternative products can be bundled, and in many cases, the bundling of remanufactured products and new products is better than selling alone.
Originality/value
If the retailer chooses bundling, for the remanufacturer, when certain conditions are met, the benefits of bundling are greater than the separate sales at that time; for the original manufacturer, when the recycling price sensitivity coefficient is high, the bundling is better than separate sales.
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Keywords
Shukuan Zhao, Xueyuan Fan, Dong Shao and Shuang Wang
This study aims to investigate the impact of supply chain concentration (SCC) on corporate research and development (R&D) investment and determine the moderating roles of industry…
Abstract
Purpose
This study aims to investigate the impact of supply chain concentration (SCC) on corporate research and development (R&D) investment and determine the moderating roles of industry concentration and financing constraints on the relationship between SCC and R&D investment.
Design/methodology/approach
The study collected data from Chinese listed companies, used the fixed effects model to test the research hypotheses and further used the two-stage Heckman test and propensity score matching (PSM) to address potential endogeneity issues.
Findings
The result reveals a negative impact of SCC on corporate R&D investment. In addition, industry concentration mitigates the negative impact of SCC on corporate R&D investment, but financing constraints strengthen the negative impact.
Originality/value
This study introduces the concept of SCC and empirically tests its effect on R&D investment, further explaining the lack of corporate innovation. This study inspires companies to strengthen SC management and weigh the level of SCC with environmental factors.
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