Subjective well-being is defined as how happy and satisfied a person is in his life. To date, among the significant determinants of subjective well-being, national income is considered an important one. However, not much focus has been paid to other determinants of subjective well-being, such as education and information and communication technologies. Therefore, this study aims to investigate the short- and long-run impact of education and ICTs on subjective well-being in China over the period 1996–2020. To empirically investigate the nexus, (...) we have employed bounds testing approach to cointegration and error correction modeling. The long-run estimates attached to education are positive and significant, implying that a rise in average years of schooling help increases the level of happiness. However, the long-run estimate attached to the internet is significant and positive in the happiness model. As far as the interaction term between education and the internet is concerned, the estimate is positive and significant. In short-run, the estimates of education, ICTs, and an interaction term between them are also significantly positive. (shrink)

The service failure of online shopping has always plagued online stores, but the current academic circles still need to explore the service recovery of online shopping from the perspective of empathy and consumer forgiveness. Based on the service failure cases of real online shopping, this article uses the method of situational experiment to carry out empirical research, discusses the impact mechanism of service recovery effect from the perspective of empathy and consumer forgiveness, and tests the moderating role of online store (...) reputation. The results show that in the online shopping service recovery scenario, empathy has a positive impact on consumer forgiveness, consumer forgiveness has a positive impact on consumer repurchase intention, and consumer forgiveness plays a mediating effect between empathy and consumer repurchase intention. Online store reputation plays a moderating role in the relationship between consumer forgiveness and consumer repurchase intention. The research conclusion of this article will help to expand the application of empathy and consumer forgiveness in the research of service recovery, enrich the theory of online shopping service recovery, improve the effect of online shopping service recovery, and promote the healthy development of online shopping business models. (shrink)

The existing numerous adaptive variants of differential evolution have been improved the search ability of classic DE to certain extent. Nevertheless, those variants of DE do not obtain the promising performance in solving black box problems with unknown features, which is mainly because the adaptive rules of those variants are designed according to their designers’ cognition on the problem features. To enhance the optimization ability of DE in optimizing black box problems with unknown features, a differential evolution with autonomous selection (...) of mutation strategies and control parameters is proposed in this paper, inspired by autonomous decision-making mechanism of reinforcement learning. In ASDE, a historical experience archive with population features is utilized to preserve accumulated historical experience of the combination of mutation strategies and control parameters. Furthermore, the accumulated historical experience can be autonomously mapped into rules repository, and the individuals can choose the combination of mutation strategies and control parameters according to those rules. Additionally, an updating and utilization mechanism of the historical experience is designed to assure that the historical experience can be effectively accumulated and utilized efficiently. Compared with some state-of-the-art intelligence algorithms on 15 functions of CEC2015, 28 functions of CEC2017, and parameter extraction problems of the photovoltaic model, ASDE has the advantages of solution accuracy, convergence speed, and robustness in solving black box problems with unknown features. (shrink)

The constraint-handling methods using multiobjective techniques in evolutionary algorithms have drawn increasing attention from researchers. This paper proposes an efficient conical area differential evolution algorithm, which employs biased decomposition and dual populations for constrained optimization by borrowing the idea of cone decomposition for multiobjective optimization. In this approach, a conical subpopulation and a feasible subpopulation are designed to search for the global feasible optimum, along the Pareto front and the feasible segment, respectively, in a cooperative way. In particular, the conical (...) subpopulation aims to efficiently construct and utilize the Pareto front through a biased cone decomposition strategy and conical area indicator. Neighbors in the conical subpopulation are fully exploited to assist each other to find the global feasible optimum. Afterwards, the feasible subpopulation is ranked and updated according to a tolerance-based rule to heighten its diversity in the early stage of evolution. Experimental results on 24 benchmark test cases reveal that CADE is capable of resolving the constrained optimization problems more efficiently as well as producing solutions that are significantly competitive with other popular approaches. (shrink)

The relationship between corporate social responsibility (CSR) and leadership has received considerable research attention in recent decades. While there have been several qualitative reviews, quantitative and systematic reviews of CSR–leadership links remain absent. The current paper seeks to address this gap by using a bibliometric method to analyze and visualize the evolution and research trends within the CSR–leadership domain. Drawing from a sample of 1432 peer-reviewed articles, we map the landscape of the CSR–leadership research domain and identify key developments and (...) patterns over the period 1994–2020. In addition to highlighting a range of publication trends including key theoretical influences, the findings also reveal an acceleration in the volume and breadth of CSR–leadership research. Seven subdomains (or clusters) are further identified (i.e., board characteristics, responsible leadership, emerging country context, team efficacy, CEO pay fairness, shareholder wealth, and cross-sector social partnership) and discussed based on the keywords using the log-likelihood ratio clustering algorithm. The analysis is further divided into three stages: namely, the initial stage (1991–2003), the rapid development stage (2004–2011), and the maturation stage (2012–present). These stages are used to present more fine-grained insights into the research patterns over time. We conclude by discussing implications of the bibliometric analysis and presenting several opportunities for future research. (shrink)