The Source of SMEs' Competitive Performance in COVID-19: Matching Big Data Analytics Capability to Business Models.

Literature notes that firms are keen to develop big data analytics capability (BDAC, e.g. big data analytics (BDA) management and technology capability) to improve their competitive performance (e.g. financial performance and growth performance). Unfortunately, the extant literature has limited understanding of the mechanisms by which firms' BDAC affects their competitive performance, especially in the context of small and medium-sized enterprises (SMEs). Using resource capability as the theoretical lens, this paper specifically examines how BDAC influences SMEs' competitive performance via the mediating role of business models (BMs). Also, this study explores the moderating effect of COVID-19 on the relationship between BDAC and BMs. Supported by Partial Least Squares-Structural Equation Modelling (PLS-SEM) and data from 242 SMEs in China, this study finds the mediating roles of infrastructure and value attributes of BMs in enhancing the relationship of BDAC on competitive performance. Furthermore, the improvement of financial performance comes from the matching of BDA management capability with infrastructure attributes of BMs, while the improvements in growth come from the matching of BDA management capability and BDA technology capability with value attributes of BMs. The result also confirms the positive moderating effects of COVID-19 on the relationship of BDA management capability and value attributes of BMs. This study enriches the integration of BDAC and BMs literature by showing that the match between BDAC and BMs is vital to achieve competitive performance, and it is helpful for managers to adopt an informed BDA strategy to promote widespread use of BDAs and BMs.

Queen Bees: How Is Female Managers' Happiness Determined?

This paper aims to study the determinants of subjective happiness among working females with a focus on female managers. Drawn on a large social survey data set (N = 10470) in China, this paper constructs gender development index at sub-national levels to study how institutional settings are related to female managers' happiness. We find that female managers report higher levels of happiness than non-managerial employees. However, the promoting effect is contingent on individual characteristics and social-economic settings. The full sample regression suggests that female managers behaving in a masculine way generally report a high level of happiness. Meanwhile, female managers who refuse to support gender equality report low happiness levels. Sub-sample analysis reveals that these causalities are conditioned on regional culture. Masculine behavior and gender role orientation significantly predict subjective happiness only in gender-egalitarian regions. This study is one of the first to consider both internal (individual traits) and external (social-economic environment) factors when investigating how female managers' happiness is impacted. Also, this study challenges the traditional wisdom on the relationship between female managers' job satisfaction and work-home conflict. This study extends the literature by investigating the impacts of female managers' masculine behavior on their happiness. This study is useful for promoting female managers' leadership effectiveness and happiness.

How Does Information Sharing of a Supervisor Influence Proactive Change Behavior of an Employee? The Chain Mediating Role of Family-Like Employee-Organization Relationship and Relationship Energy.

The proactive change behavior of an employee is the key to promoting organizational innovation. However, the proactive change has a certain risk, and many employees are unwilling to implement initiatively. How to promote the occurrence of a proactive change behavior of an employee has become a hot issue in the theoretical and practical areas. Based on the self-disclosure theory, this study uses the questionnaire survey method, containing a total of 32 items, and uses the 5-point Likert scale (1 = strongly disagree and 5 = strongly agree), with the Mplus and SPSS statistical software to analyze the impact mechanism of work-related information sharing of supervisors on the proactive change behavior of employees through the structural equation model. The regulatory effect of non-work information sharing of leaders is analyzed using the latent regulatory structural equation method. The conclusions are as follows: work-related information sharing positively of supervisors influences the family-like employee-organization relationship of employees; the family-like employee-organization relationship and relationship energy play serial mediating roles in the relationship between work-related information sharing of supervisors and the proactive change behavior of employees; non-work information sharing of supervisors moderates the serial mediating path by enhancing the positive influence of work-related information sharing of supervisors on the family-like employee-organization relationship. Theoretically, this study has complemented and enriched the research on the influence mechanism between the information sharing of supervisors and the proactive change behavior of employees. Practically, this study has important implications for supervisors to promote the proactive change behavior of employees by sharing work-related information and non-work information with employees.

How High-Polluting Firms Suffer from Being Distracted form Intended Purpose: A Corporate Social Responsibility Perspective.

High-polluting industries are regarded as the main sources of air pollutant emissions and the major factors that significantly destroy the ecological environment. Corporate innovation in high-polluting industries improves the energy consumption efficiency and reduces the emission of air pollutant, which mitigates the conflict between environment and economy. Using the sample of China's listed firms from 2010 to 2017, this study examines the impact of corporate social responsibility (CSR) and financialization on corporate innovation in high-polluting industries. The results show that there is a positive association between CSR and corporate innovation, while there is a negative association between financialization and corporate innovation. Furthermore, the financialization of high-polluting firms can alleviate the promotion role of CSR in the innovation process. The financialization of state-owned enterprises in high-polluting industries may not have a crowding-out effect on research and development (R&D), but it can limit the R&D promotion effect of CSR engagements. In contrast, the financialization of non-state-owned enterprises will hinder corporate innovation, but it will not affect the association between CSR and technology innovation. We also find that the financialization of high-polluting firms with low financial constraints can alleviate the promotion role of CSR engagements in innovation. Meanwhile, the CSR engagements of high-polluting firms with high financial constraints play a stronger role in corporate innovation. During the implementation of environmental policies, the negative association between financialization and corporate innovation has been strengthened. Our findings can encourage high-polluting firms to make more efforts in environmental protection and social stability.

Did an Ultra-Low Emissions Policy on Coal-Fueled Thermal Power Reduce the Harmful Emissions? Evidence from Three Typical Air Pollutants Abatement in China.

Thermal power generation based on coal-fired power plants has the advantages of stability and controllability and has been the largest source of electricity supply in China. Coal-fired power plants, however, are also accompanied by high carbon emissions and the release of harmful substances (mainly including sulfur dioxide, nitrogen oxides, and smoke dust), and are even regarded as the "chief criminal" in terms of air pollution. However, thermal power is also a pioneering industry involved in several environmental regulations and cleaner production techniques before other industries. Evidence of this is China's ultra-low emissions (ULE) policy on coal-fired power plants, implemented in 2015. To verify this policy's effect, this study treats ULE as an exogenous impact variable, examining its emissions reduction effect on SO2, NOx, and smoke dust in Eastern and Central China using the difference-in-difference method (DID). The results show that the total emissions of the three pollutants were abated by 0.133%, 0.057% and 0.036% in Eastern, and by 0.120%, 0.035% and 0.043% in Central China at every 1% rise of thermal power generated after ULE. In addition, several other factors can also argue for the promotion of thermal power. Other industries, such as steel or chemical, have proven that they can contribute significant SO2 and NOx emissions. Based on these results, we provide suggestions on synergistic emissions reduction among multiple industries, as well as a discussion on the necessity of implementing ULE in Western China.