The entrepreneurial orientation (EO) scale has become the most widely used scholarly measure of entrepreneurial behavior. Additionally, it is frequently used in studying entrepreneurship in non-Western cultures. In the current study, the authors respond to calls for cross-cultural validation of measures used in international research by assessing the measurement invariance of the most frequently utilized EO scale. Using samples of small and medium-sized firms from the United States and China, the authors assess the dimensionality of EO, optimal number of scale items, and the measurement invariance of the construct across cultures. The results support conceptualizing EO as multidimensional, using an 8-item version, and utilizing it in cross-cultural research settings in certain instances.

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Abstract:With environmental pollution, climate change and resource scarcity being serious global issues, green entrepreneurship is increasingly seen as an approach to simultaneously address economic performance, environmental impact and social responsibility. As green entrepreneurship needs to consider both venture performance and social responsibility, it will be subject to legitimacy constraints at the system level. Whether these legitimacy constraints are favorable to green enterprise is not yet clear from current research. Especially for transition economies, the problem of whether proactive green enterprises facing legitimacy constraints under institutional uncertainty can achieve green performance requires further study. Thus, a theoretical model to determine the relationship between green proactiveness orientation (GPO), green performance, legitimacy, and transitional economics was proposed. Based on the data from 235 new Chinese green firms, the empirical results suggest that green startups launch with a green proactiveness orientation, which enables them to acquire a green performance advantage over their competitors. Improvements in green performance is also shown to be driven by the pressure from institutional legitimacy. Better green performance can be easily achieved if green startups have a higher level of legitimacy. However, against the background of transitional economies, the increase in institutional uncertainty will damage the promotion of political legitimacy and make the enterprises that are subject to political legitimacy constraints lose their green performance. Currently, political legitimacy is no longer an impetus. However, the increase in institutional uncertainty will strengthen the promotion of commercial legitimacy and cause green-oriented startups to pursue more commercial interests. Thus, to a certain extent, it will lead to market uncertainty. The conclusion of this study not only provides guidance for startups in different industries to develop green actions under the pressure of institutional constraints but also warns governments to improve policies and regulations quickly under different situations of institutional uncertainty.

Although green innovation strategy (GIS) is the driving force for the sustainable development of enterprises, while the strategy is implemented, an increased cost and a change in organizational routines will cause an organization to become fragile, and even affect the sustainable competitive advantages. So, the purpose of this paper is to explore the impact path of GIS on sustainable competitive advantages and the implementation boundary of GIS. To explain the impact path, we consider the concept of dynamic capabilities to be the mediator variable. To explain the implementation boundary of GIS, we systematically explore the relationships among GIS, dynamic capabilities and sustainable competitive advantages under different levels of environmental uncertainty. Based on 241 new Chinese green firms, the empirical results find that GIS helps enterprises to gain sustainable competitive advantages. However, in the process of strategy implementation, enterprises should choose appropriate methods according to different degrees of environmental uncertainty. In a low environmental uncertainty, dynamic capabilities play a full intermediary role between GIS and sustainable competitive advantages. However, in a high environmental uncertainty, dynamic capabilities have no mediating effect between GIS and sustainable competitive advantages. This study not only integrates green management theory and strategic management theory but also makes up for the deficiencies in research on these theories and has important reference value for enterprises that seek to carry out green innovation activities.

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Purpose Cross-border flow of knowledge is fraught with many challenges. The complexity associated with the organization of multinational corporations (MNCs), and the information asymmetry in foreign locations poses particular challenges to knowledge flow. Yet, effective transfer of knowledge is critical for the survival and performance of MNCs. The purpose of this paper is to present a comprehensive framework to understand the difficulties in the smooth flow of knowledge in MNCs. Design/methodology/approach The study is conceptual in nature and is based on an extensive review of the extant literature. Findings This review of the literature suggests that knowledge flow in MNCs is affected by country-level, firm-level and individual-level factors. The authors discuss these in the backdrop of the MNC strategy and the knowledge transfer context. The authors present their theoretical model and discuss the implications for advancing research in this domain. Originality/value This is one of the first papers to present a comprehensive framework to understand knowledge flows in MNCs.

Purpose – Guided by the proposed opportunity and resource integrative entrepreneurial growth model, the purpose of this paper is to explore how different opportunity type firms grow integrally and what the laws for different opportunity integration growth modes are. Design/methodology/approach – A multiple case study on six firms in information and communication technologies industry in China is conducted. Findings – Three types of entrepreneurial opportunities exist. These are identification type opportunity, discovery type opportunity, and creation type opportunity. Entrepreneurship among the three types of entrepreneurial opportunities operates under different laws. For each type of entrepreneurial opportunity, firms need to balance the two growth modes, namely, the opportunity identification and assessment/resource allocation mode and the opportunity utilization and resource identification/acquisition mode, in order to achieve a leveraging effect. Research limitations/implications – Vertical comparison is missing. Practical implications – Firms need to balance the two growth modes, namely, opportunity identification and assessment and resource allocation mode and opportunity utilization and resource identification and acquisition mode, to achieve leverage effect. Originality/value – This paper integrates system theory with entrepreneurship research and proposes the opportunity and resource integrative entrepreneurial growth model. This model is helpful, both in aiding firms to follow the laws for entrepreneurial opportunities and to identify entrepreneurial opportunities. The business model plays a vital role in entrepreneurship. Firms taking advantage of the Internet of Things are more likely to gain a competitive advantage and to achieve success in their entrepreneurial activities.

After analysing the security conditions in current Enterprise Systems (ES), this paper proposes a systematic framework that is based on the Secure Sockets Layer Virtual Private Network (SSL-VPN) for improving security management. This framework takes account of several key aspects such as channel strategy, network pattern, workstation authentication, identity authentication, security workflow, etc. The proposed framework has the following advantages: low cost, high performance, easy to implement, and strong security control pattern. In addition, this paper proposes a dynamic security strategy that is about authorizing user ID and roles dynamically and conducting real-time mapping via agent or proxy technologies.