Purpose: Entrepreneurship research clearly documents the importance of human and social capital and stresses the way in which entrepreneurs take advantage of their own social affiliations and network strategies in pursuit of their entrepreneurial goals, yet the research on returnee entrepreneurs’ human and social capital is not sufficiently studied in the international context, in particular when returnees’ overseas human capital and social capital may be a misfit with local business environment. Using the data from Chinese returnee entrepreneurs’ venture activities in China, the purpose of this paper is to examine the impact of returnee entrepreneurs’ overseas capital (human and social) and domestic capital (human and social) on their venture performance in China, and further explore the interaction effect of different social and human capital with China’s entrepreneurial environment.Design/methodology/approach: This study surveyed 500 start-up businesses created by returnee entrepreneurs in China to collect data. Self-administered questionnaires were used to collect data on their demographic information, the information about the human and social capital of these returnee entrepreneurs, including domestic and overseas capital, various performance measures, and other control variables ending up with 226 usable questionnaires.Findings: The results show that Chinese returnee entrepreneurs’ overseas human capital and social capital, as well as their domestic social capital, but not domestic human capital, have a significant impact on their venture performance. In addition, while domestic entrepreneurial environment does not affect the impact of overseas human and social capital on venture performance, it does provide an important contextual setting for domestic capital to improve returnee entrepreneurs’ venture performance.Originality/value: The findings help enrich the understanding of the dynamic interplays among Chinese returnee entrepreneurs’ domestic human capital and social capital, overseas human capital, and social capital, as well as the entrepreneurial environment for returnee entrepreneurs’ success, which makes an important contribution to the international entrepreneurship theory by showing that overseas human capital and social capital are not a misfit with local markets. It also provides empirical support for the mediating effect of entrepreneurial opportunity identification. The important role of entrepreneurial opportunity is empirically supported in an international context: entrepreneurship is all about the discovery of entrepreneurial opportunities and exploitation of this opportunity to create viable business entities for new products and services, even in the Chinese context, a culture which is very different from the ones where the entrepreneurship theory was developed.

Platform enterprises have emerged as one of the most popular business models in the era of knowledge economy. The success of platform enterprises relies on continuous value creation by constructing an efficient platform and attracting more users to participate in order to create more value for the users and by the users. This study is to explore the key factors that drive value creation in platform enterprises’ ecosystem to help better understand the management of platform enterprises as the knowledge-based entrepreneurial ventures in emerging markets. This study employs a newly emerged method—a fuzzy-set qualitative comparative analysis to empirically analyze the antecedent configurations of value creation for Chinese platform enterprises. This method extends qualitative comparative analysis by integrating fuzzy-sets and fuzzy-logic principles with qualitative comparative analysis principles, which offers a more realistic approach. This paper identifies different configurations for high and non-high levels of value creation in platform enterprises. The results show that continuous user commitment is crucial to creating positive value for Chinese platform enterprises, and active user participation and knowledge sharing as well as platform construction/improvement are the key elements that determine the platform enterprises’ value creation process. The results also demonstrate a hybrid value creation logic with efficiency and innovation in platform enterprises. This study further identifies an asymmetric causality in the Chinese platform enterprises’ value creation process that is crucial for knowledge sharing and effective management of platform enterprises. The findings can shed light on the strategic management of platform enterprises for emerging markets.

This paper deals with the multi-objective job shop scheduling problem in a robotic cell (MOJRCSP). All the jobs are processed according to their operations order on workstations. Different from classical job shop scheduling problem, the studied problem considers that jobs’ transportation is handled by a robot. Also, the jobs are expected to be finished in a time window, instead of a constant due date. A mixed Integer Programming (MIP) model is proposed to formulate this problem. Due to the special characteristics of the studied problem and its NP-hard computational complexity, a metaheuristic based on Teaching Learning Based Optimization (TLBO) algorithm has been proposed. The proposed algorithm determines simultaneously the operations’ assignments on workstations, the robot assignments for transportation operations, and the robot moving sequence. The objective is to minimize the makespan and the total earliness and tardiness. Computational results further validated the effectiveness and robustness of our proposed algorithm.

By drawing from the Technology-Organization-Environment (TOE) theory, this research aims to develop a model to examine the adoption of a blockchain technology based on a survey from 362 manufacturers in Sichuan, China. A structural equation modeling method was adopted to analyze the effects of the TOE approach on the manufacturer’s adoption of blockchain technology. The results indicated that technology, organization, and the environment had positive effects on the manufacturer’s adoption of blockchain technology. Organizational factors are significant antecedents to a manufacturer’s adoption of blockchain technology, followed by technological and environmental factors. Specifically, this research found that environmental factors had a moderating effect and strengthened the influence of organizational factors on the manufacturer’s adoption of blockchain technology. Managerial and theoretical implications from the research findings were discussed to develop blockchain technology in the manufacturing industry.

We propose a vector error correction model to explore the causal correlation between green finance, economic growth, and renewable energy consumption from both short- and long-run perspectives to empirically evaluate the efficacy of green finance policies. Based on time-series data from 2000 to 2020, we use the unit root test method to examine time-varying trends and cointegration for time-series data. We find that renewable energy consumption has a negative relationship with emissions but green finance is positively correlated with economic growth. Green finance is the driving factor behind the increasing utilization of renewable energy in China. CO ₂ emissions per unit of GDP decreased by 1.077% for every 1% increase in green finance development. Although the share of renewable energy consumption increased by 1%, CO ₂ emissions per unit of GDP decreased by 0.55%. Therefore, green finance is significant in decreasing CO ₂ emissions; it has a negative impact on CO ₂ emissions and the renewable energy sector and must be addressed by financial policy, stability, and long-run sustainability. We categorized green finance, which refers to carbon finance innovations such as trusteeship, to improve market demand and eventually develop industries to expand the number of emission-control industries.