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Purpose The purpose of this paper is to investigate the effect of subjective well-being on individual innovation behavior. The authors propose that such effect is mediated by knowledge sharing, and individual absorptive capacity moderates the relationship between knowledge sharing and innovation behavior. Design/methodology/approach A research model was developed. Survey data were based on a sample of 220 employees from 20 enterprises in China. Hierarchical multiple regression analyses and bootstrap approach were applied to test the research model. Findings Subjective well-being has significantly positive influence on individual innovation behavior, and this effect is mediated by knowledge sharing. Furthermore, absorptive capacity moderates the mediated relationships between subject well-being and individual innovation behavior via knowledge sharing. Practical implications This research sheds light on an effective role to promote individual innovation behavior in management practices. It suggests that harmonious atmosphere, communication platform, and well-established learning plans can be cultivated to enhance individual innovation ability. Originality/value This research discusses the antecedent of innovation behavior from the viewpoint of individual psychology, and identifies the different roles of knowledge sharing and absorptive capacity on individual innovation behavior.

Building on resource-based theory and resource orchestration theory, we investigate the impact of two characteristics of boundary-spanning search, search breadth and search depth, on firms' exploitative and exploratory green innovations. We also examine the moderating role of resource orchestration capability. The results of data analysis from 186 manufacturing firms in China show that both search breadth and search depth have inverted U-shaped relationships with exploitative and exploratory green innovations. Furthermore, resource orchestration capability is found to moderate the inverted U-shaped relationship between boundary-spanning search and green innovation. Specifically, with high resource orchestration capability, the inverted U-shaped relationships of search breadth with exploitative and exploratory green innovations are flattened, whereas the relationships of search depth with exploitative and exploratory green innovations are almost linear. Our research contributes to the literature on green innovation by uncovering the complex effects of boundary-spanning search on exploitative and exploratory green innovations. KEYWORDS boundary-spanning search, exploitative green innovation, exploratory green innovation, resource orchestration capability, sustainable development

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Although external environmental pressure has been recognized as an important driver of green innovation, the literature ignores its effect on radical green innovation. Combining theories of organizational learning and transformational leadership, this study explores the relationships among external environmental pressure, exploratory green learning, and radical green innovation, and analyzes the moderating role of green transformational leadership. Considering the political and economic factors in social network, this study focuses on the pressures of environmental regulatory and green market. Data are collected from 282 manufacturing firms in China's strategic emerging industries, hierarchical regression analysis and boostrapping are used to test hypotheses. The results reveal that environmental regulatory pressure and green market pressure have positive effects on exploratory green learning, and exploratory green learning has positive effects on radical green innovation. Exploratory green learning plays a full mediating role in the relationship between environmental regulatory pressure and radical green innovation, and partially mediates the relationship between green market pressure and radical green innovation. Moreover, green transformational leadership has a nonlinear moderating effect on the relationship between exploratory green learning and radical green innovation. This study opens avenues for understanding the relationship between external environmental pressure and raidcal green innovation, which enriches the literature on green innovation and offers practical implications for government and firms.

PurposeAlthough interorganizational learning has attracted substantial attention, research about its effects on green innovation is still rare. Combining theories of organizational learning and absorptive capacity, this study explores the relationships among interorganizational learning, green knowledge integration capability (GKIC) and green innovation (GI), and analyzes the moderating role of green absorptive capacity (GAC). Based on resource-based and ambidexterity theories, this study focuses on vertical exploitative (VEL) and lateral explorative learning (LEL). This study expands the research of GI by proposing two different interorganizational learning mechanisms and uncovering the intricate relationship between them and GI.Design/methodology/approachBased on a sample of 203 Chinese manufacturing firms, the authors used a hierarchical regression analysis and bootstrap method to test the theoretical framework and research hypotheses of this paper.FindingsResults show that VEL and LEL have positive effects on GI. GKIC partially mediates the relationship between VEL and GI and completely mediates the relationship between LEL and GI. Moreover, GAC plays a moderating role between LEL and GKIC and moderates the effect of LEL on GI via GKIC, such that the effect is stronger when GAC increases. However, it does not moderate the relationship between VEL and GKIC.Originality/valueFirst, founded on resource-based and ambidexterity theories, this study considers two dimensions of interorganizational learning, VEL and LEL. Second, by testing the mediating role of GKIC, the authors provide a theoretical lens to understand the relationship between interorganizational learning and GI. Third, by examining boundary conditions of GAC, the authors enrich organizational learning and absorptive capacity theory in the context of green development.

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The neutrosophic set and linguistic term set are widely applied in recent years. Motivated by the advantages of them, we combine the multivalued neutrosophic set and linguistic set and define the concept of the multivalued neutrosophic linguistic set (MVNLS). Furthermore, Hamacher operation is an extension of the algebraic and Einstein operation. Additionally, the normalized weighted Bonferroni mean (NWBM) operator can consider the weight of each argument and capture the interrelationship of different arguments. Therefore, the combination of NWBM operator and Hamacher operation is more valuable and agile. Firstly, MVNLS and multivalued neutrosophic linguistic number (MVNLN) are defined, then some new operational rules of MVNLNs on account of Hamacher operations are developed, and the comparison functions for MVNLNs are given. Secondly, multivalued neutrosophic linguistic normalized weighted Bonferroni mean Hamacher operator (MVNLNWBMH) is proposed, and a number of expected characteristics of new operator are investigated. Meanwhile, some special cases of different parameters , , and are analyzed. Thirdly, the approach utilizing the MVNLNWBMH operator is introduced to manage multiple criteria decision making (MCDM) issue in multivalued neutrosophic linguistic environment. Ultimately, a practical example is presented and a comparative analysis is carried out, which validate the effectiveness and generalization of the novel approach.