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The purpose of this paper is to argue that green hope (GH) and green organizational identification (GOI) play critical roles in transforming top management green commitment (TMGC) into desired employees task-related green behavior (TRGB) and voluntary workplace green behavior (VWGB) based on positive psychology.

The authors test the multilevel moderated mediation model by analyzing data collected from 491 hospitality employees and their direct supervisors in 103 teams. At Time 1, the authors conducted a survey of 905 team members to provide demographic information and evaluate TMGC, as well as their own GOI. At Time 2, the authors sent a follow-up questionnaire to employees who participated Time 1, asking them to evaluate their GH in the workplace. At Time 3, the authors sent questionnaires to the leaders of the respondents of T2 survey and invited them to evaluate TRGB and VWGB in the workplace.

The results show that TMGC facilitates two types of employees’ behaviors toward both TRGB and VWGB by enhancing hospitality employees’ GH. As a team-level variable, GOI has a positive moderating effect on the association between TMGC and GH. The authors discuss the theoretical implications as well as practical implications for managers seeking to promote sustainability in their hospitality industry.

This is one of the first empirical studies to investigate the mediating effects of a positive psychology variable, namely, GH – and the moderating effects of GOI on the relationship between TMGC and employee green behavior (EGB).

The purpose of this paper is to focus on the fit between intellectual capital (IC) and knowledge management (KM) strategy and its impacts on firm performance.

Based on the fit view, the authors posit that firms can enhance performance by aligning the structure of their IC with KM strategy, as reducing the extent to which their actual IC profile deviate from the “ideal” profile when implementing certain type of KM strategy. Using survey data collected from 328 high technology firms in China, the authors tested the research model.

The more fit a firm’s IC is to its KM strategic type, the better operational and financial performance it can achieve.

The sample of high technology firms in China might limit the generalization of the findings. Nonetheless, this study is based on and extends prior research, which provides a deepened understanding of the role of IC-KM strategy fit in organizational settings.

The paper suggests that firms should adjust their IC according to KM strategy they employ. According to the findings, managers can selectively develop IC to achieve performance goals under certain type of KM strategy.

As one of the first studies to investigate the relationship among IC, KM strategy and firm performance in a holistic way, it indicates that the IC-KM strategy fit can be a novel explanation for performance variances through the alignment of knowledge-based capability and strategy.

Prior research has suggested that abusive supervision has negative impacts on various work outcomes. However, little attention has been paid to the relationship between abusive supervision and employees’ safety behaviour. The purpose of this study is, therefore, to address these limitations by developing and testing a theoretically based conceptual model that explicitly considers the underlying mechanism and boundary condition of the relationship between abusive supervision and safety behaviour of underground coal miners in China.

At Time 1, the authors conducted a survey of 630 employees to assess their supervisors’ abusive leadership behaviours, their own power distance beliefs and their self-reflection. At Time 2, the authros sent questionnaires to the leaders and invited them to evaluate employees’ safety behaviour in the workplace. After cleaning the survey data, the authors tested our model using a multi-level analysis on a sample (n = 458) of underground miners across 96 coal mining sites in China.

The authors propose that abusive supervision decreases employees’ safety compliance/participation by reducing reflection but strengthening rumination. The authors further find that the linkage from abusive supervision to reflection/rumination to safety compliance/participation is affected by power distance.

To the best of the authors’ knowledge, This is one of the first empirical studies to investigate the mediating effects of a deep cognitive processing variable – namely, self-reflection – and the moderating effects of power distance on the relationship between abusive supervision and safety behaviour.

Against the background of the enormous economic transition China is undertaking, government intervention over corporate behavior is a frequent and, arguably, necessary measure. Among the most serious problems facing China, economically and reputationally, are environmental issues. So, how is the government intervening in the environmental performance of Chinese enterprises? And how are Chinese enterprises responding? These are the questions to be answered in this study.

This paper sampled listed companies on China’s Shanghai and Shenzhen Stock Exchanges. The data were collected from the HeXun corporate social responsibility report, CSMAR and WIND databases. A Tobit model was used to conduct the main 2SLS regression analysis, and the robustness tests followed the propensity score matching method.

The analysis shows that environmental performance is positively related to the government subsidies a company receives. The “Eight-point Regulation of the Centre” crack-down on social corruption introduced in 2012 has weakened rent-seeking overall, but rent-seeking behavior through the cloak of corporate environmental performance has become more serious. As a result, non-polluting and state-owned enterprises are significantly less concerned about their environmental performance, while polluting and private enterprises are more motivated to become good environmental citizens.

This research provides a greater understanding of the drivers behind environmentally-responsible behavior in Chinese companies. These insights can be used by policymakers and environmental regulators to incentivize a more widespread ground-swell of change across the gamut of Chinese business.

Environmental policy and practice informed by research-driven recommendations can not only make valuable contributions to the health and well-being of Chinese society but also, as a significant contributor to climate change, environmental reforms have global benefits.

This study explores the motivations behind rent-seeking associated with environmental investment. The findings expand the research horizon of relevant literature on corporate political rent-seeking and deepen the understandings of the economic consequences of corporate investment into environmental practice. The results provide empirical evidence for the Chinese government to implement environmental regulations based on incentives beyond simple profit-making.

This paper aims to investigate the inverse U-shape relationship between DM and accessing loans from the banks and explore the moderating effect of donation mode diversity.

Based on a survey dataset of 1,036 private firms in China, we use a Heckman two-stage estimation model to test hypothesizes.

The results show an invert U-shape relationship between donation magnitude and access to bank loan. The authors also find that donation mode diversity will positively moderate donation magnitude–bank loan relationship: the positive effect of donation magnitude will be stronger for the private firms using multiple channels of philanthropic donation.

This paper extends the literatures by examining how philanthropic donation behaviors in form of donation magnitude (how much to give) and donation mode diversity (how to give) influence private firms’ loan borrowed from the bank, an important but largely ignored stakeholder. Therefore, it suggests that both the amount and the channels of philanthropic donation could have significant roles in the efficiency of achieving strategic outcomes of corporate philanthropy.

China has emerged as the world's second-largest economy due to rapid industrial expansion and phenomenal economic growth of China in recent decades. Though, this exponential economic turnaround has been fueled by widespread energy consumption, making China among the largest pollutant emitters in the world. Chinese enterprises have come under greater scrutiny and the Government has mandated Chinese companies to undertake environmental protection investment. This study aims to explore the relationship between environmental protection investment and enterprise innovation by taking evidence from Chinese listed firms.

The data of 2,568 Chinese A-share listed firm-year observations were collected from the Shanghai and Shenzhen stock exchanges during 2008–2016. This study employed ordinary least square and panel data fixed effects techniques to ascertain the association between proposed variables.

The authors' findings conjecture the crowding-out effects of environmental investments on enterprise innovation-related expenditures. Furthermore, additional empirical testing reveals that Research and Development (R&D) undertakings of state-owned and politically connected enterprises are not affected by environmental investments. Likewise, corporate innovation activities are not negatively influenced by environmental investments in polluting industries. The study findings offer fresh insights to regulators, corporate managers and stakeholders. The authors' results are robust to alternate econometric specifications and alternate variable specifications.

This study makes the following contributions toward the extant literature. First, the study investigates if there is a crowding-out effect of spending on environmental protection in the current period and the innovation expenditure in the upcoming period. Empirical results confirm that there exists a trade-off between both types of spending, implying that the spending on environmental protection will negatively influence the spending on innovation. Second, the study deepens the analysis in considering other influences in this relationship. For instance, the authors' separately consider the aforementioned trade-off in state-owned enterprises and non-state-owned enterprises. The study also examines the mediating influence of corporate political connections and industry attributes, whether or not these influence the relationship between the actual spending on environmental protection and the upcoming spending on innovation.

In the big data era, image compression is of significant importance in today’s world. Importantly, compression of large sized images is required for everyday tasks; including electronic data communications and internet transactions. However, two important measures should be considered for any compression algorithm: the compression factor and the quality of the decompressed image. In this paper, we use Frei-Chen bases technique and the Modified Run Length Encoding (RLE) to compress images. The Frei-Chen bases technique is applied at the first stage in which the average subspace is applied to each 3 × 3 block. Those blocks with the highest energy are replaced by a single value that represents the average value of the pixels in the corresponding block. Even though Frei-Chen bases technique provides lossy compression, it maintains the main characteristics of the image. Additionally, the Frei-Chen bases technique enhances the compression factor, making it advantageous to use. In the second stage, RLE is applied to further increase the compression factor. The goal of using RLE is to enhance the compression factor without adding any distortion to the resultant decompressed image. Integrating RLE with Frei-Chen bases technique, as described in the proposed algorithm, ensures high quality decompressed images and high compression rate. The results of the proposed algorithms are shown to be comparable in quality and performance with other existing methods.