Institution
College of Management and Economics
About: College of Management and Economics is a based out in . It is known for research contribution in the topics: Supply chain & Stock market. The organization has 2184 authors who have published 2193 publications receiving 28830 citations.
Papers published on a yearly basis
Papers
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TL;DR: Zhou et al. as mentioned in this paper developed a three-dimensional scale of subjective career success based on the framework of Zhou et al., and three independent studies were conducted using three separate samples (N =244, N =411, and N =254) to examine the reliability and validity of the developmental scale.
Abstract: Subjective career success has long been of interest to scholars because of its importance in the career area. However, the subjective career success literature suffers from the lack of measurement. To fill this void, after reviewing the limitations of the existing instruments, the current study developed a three-dimensional scale of subjective career success based on the framework of Zhou et al. Three independent studies were conducted using three separate samples (N = 244; N = 411; N = 254) in China to examine the reliability and validity of the developmental scale. The results provided evidence of internal homogeneity, structural validity, convergent validity, discriminant validity, and incremental validity of the developed scale. To conclude the study, the limitations of the article and implications for future study were discussed.
43 citations
TL;DR: Wang et al. as mentioned in this paper utilized SBM-undesirable model and Malmquist index to examine the urban eco-efficiency in China and analyzes the regional heterogeneity, finding that higher innovative ability can increase urban eco efficiency.
43 citations
TL;DR: The results show that if the manufacturer prices dynamically, the manufacturer itself will be better off; however, the double marginalization will be aggravated, which is adverse to supply chain efficiency.
43 citations
TL;DR: Wang et al. as discussed by the authors explored influencing factors on both providers' and consumers' sides, using empirical data from selected firms and a questionnaire survey of residents in China, the simulation results revealed that consumers' low carbon awareness and income have little effect on their willingness to pay for low-carbon products.
Abstract: Consumer choice behavior is crucial to supporting cleaner production and plays an essential role in low-carbon development and environmental policy-making. Therefore, combining system dynamics with an agent-based model (SD–AB), the present study explores influencing factors on both providers' and consumers' sides. Using empirical data from selected firms and a questionnaire survey of residents in China, the simulation results revealed that consumers' low-carbon awareness and income have little effect on their willingness to pay for low-carbon products. In contrast, some factors have an obvious effect on consumers' willingness to pay for low-carbon products, including the delivery speed of low-carbon products, consumers' patience and degree of satisfaction. Thus, companies that provide low-carbon products should be more focused on customer expectations and should ensure timely and efficient delivery to consumers. Copyright © 2017 John Wiley & Sons, Ltd and ERP Environment
43 citations
TL;DR: In this article, the authors posit that Chinese listed firms with ISO 14001 certification have lower debt financing costs, and they find evidence to support their hypothesis using a difference-in-difference approach and propensity score matching.
43 citations
Authors
Showing all 2184 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Jian Zuo | 60 | 526 | 12698 |
| Ying Fan | 54 | 236 | 10378 |
| Justin Tan | 52 | 118 | 10076 |
| ZhongXiang Zhang | 45 | 271 | 6159 |
| Ning Zhu | 43 | 156 | 8509 |
| Wenjun Wu | 39 | 120 | 5485 |
| Thanasis Stengos | 38 | 249 | 6053 |
| Baofeng Huo | 37 | 99 | 7153 |
| Patrick X.W. Zou | 35 | 177 | 4205 |
| Yejun Xu | 34 | 111 | 3492 |
| Yanan Wang | 34 | 224 | 4108 |
| Yongjian Li | 32 | 104 | 3017 |
| Yi Wu | 31 | 149 | 2775 |
| Wansheng Tang | 31 | 192 | 3190 |
| Xi Zhang | 30 | 153 | 2418 |