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Shifting focus from innovation quantity to innovation quality becomes a priority in innovation study, business and policy. This paper aims to figure out whether and how knowledge recombination (recombinant exploration/recombinant exploitation) affects firms' innovation quality (technological value/economic value) and how these relationships are moderated by environmental turbulence (technological turbulence/market turbulence) in the context of open innovation.

A panel data set is built on 373 Chinese pharmaceutical firms' patents and new product data from 1997 to 2020. And a negative binomial regression model is applied to test the hypotheses.

The analyses indicate that (1) recombinant exploration favors technological value but hinders economic value, while (2) recombinant exploitation benefits both. Regarding environmental turbulence's moderating effects, (3) technological turbulence has opposite moderating effects on the impacts of recombinant exploration versus exploitation on technological value, whereas (4) market turbulence benefits the impacts of both on economic value.

This research provides the answer to practitioners' question that “How to improve innovation quality?” That is “Think from a recombination logic, clarify your internal value preference and the external turbulence.”

From an emerging perspective of innovation, this research expands the innovation quality research to a recombination logic. A multi-dimensional research framework is developed to clarify the complex relationships between knowledge recombination and innovation quality. Finally, two moderators, technological versus market turbulence, formulate more targeted implications for firms' innovation management in open innovation.

This article examines the direct effect of total quality management (TQM) practices on organizational performance (OP) and innovation (INN), as well as their indirect effect through organizational learning (OL) as a mediating variable. In addition, this survey examines company size as a contextual variable in the relationship between TQM and outcome variables.

A conceptual framework is proposed to test causal links between TQM, OP, INN and OL. To empirically test this framework, 110 questionnaires were collected from large Tunisian quality-certified industries, and 167 questionnaires were collected from small and medium-sized industries (SMIs) in order to examine the effect of company size. In this order, a multigroup analysis (MGA) is performed.

Using the structural equation modeling technique, seven hypotheses are investigated. The results reveal that TQM has a direct and significant positive effect on OP and INN. Data analysis shows that there is a significant positive effect between TQM and OL, while OL positively influences OP and INN. Furthermore, the results illustrate a mediating effect of OL between TQM and OP and INN. The results reveal that large industries and SMIs show significant differences in the relationship, including the conceptual model.

The conceptual framework can be used by practitioners for effective implementation of TQM practices to simultaneously improve operational performance, quality performance and INN. This study also focuses on the role of OL in large-scale industries.

While the relationships between TQM, INN and OP have been examined separately in previous studies, this study examines the relationship between these variables in a unique model in Tunisian industries, including OL as a mediating variable. In addition, it is one of the few studies that considers firm size as a contextual variable and provides an analysis of its effect on the relationships between these variables. This study presents new data and empirical insights into the relationship between these variables.

This study aims at investigating the impact of total quality management (TQM) on corporate sustainability (CS) by mediating the role of corporate social responsibility (CSR) in developing countries.

A mixed research approach was adopted by conducting interviews and a survey. A survey was used as a quantitative tool for data collection from 67 respondents at different managerial levels. Partial least squares structural equation modeling (PLS-SEM) was used for analysis.

The findings demonstrate that customer focus and human resource management (HRM) were the most effective practices. Structural analysis revealed that TQM had a significant impact on CSR and CS. Furthermore, CSR partially mediates the relationship between TQM and CS.

The study has developed a conceptual framework to provide policymakers with guidelines on integrating TQM practices and CSR activities into their strategy.

This research bridges the gap between TQM and the three pillars of CS, especially in manufacturing enterprises in a developing country context. This research also supports the TQM advocate's argument that effective TQM deployment can dramatically improve organizational performance. Additionally, this study verifies the CS model based on the triple bottom line (TBL) theory and stakeholder theory by assessing the conceptual model's robustness using a mixed-method research methodology, which has never been done before from a Palestinian perspective.

The purpose of this empirical study is to explore the factors that influence college students' intention to engage in online gamified learning in Guangdong and Macao.

This study analyzed 289 valid questionnaires to statistically explore the factors that affect college students' intention to engage in online gamified learning.

The study discovered that extroverted learning style, perceived usefulness and perceived enjoyment have a positive and significant impact on students' intent to participate. Moreover, perceived usefulness and perceived enjoyment partially mediate the effect of extroverted learning style on the intention to engage in online gamified learning. Additionally, the impact of perceived usefulness on intention is moderated by different cultural backgrounds, with the moderation effect being stronger for Macao students than for non-Macao students.

This empirical study, based on the technology acceptance model (TAM), explores the factors that influence college students' intention to engage in online gamified learning in Guangdong and Macao and constructs a gamification acceptance model.

Quality awards are widely considered symbols of successful quality management. The purpose of this paper is to empirically test the effects of the China Quality Award (CQA) on firms' performance. The study further explores how the benefits due to CQA are affected by contextual factors.

Using the data of CQA winners from 2001 to 2016, the event study method is applied to analyze the abnormal performance of winners. Furthermore, multiple regression models are proposed to evaluate the effects of contextual factors on the relationship between the award and profitability.

The findings show that CQA has positive impacts on profitability and fixed asset efficiency but not on labor productivity. Besides, state-owned firms and firms with high innovation intensity obtain more profitability benefits than others.

This is the first study to explain the relationship between quality awards and firm performance from a theoretical perspective, providing new insights into the quality management and performance literature. Furthermore, this study deepens the understanding of the relationship between quality awards and performance and reveals new implications. Some of the contextual factors examined, such as innovation intensity, are considered for the first time in quality award research.

For construction organisations to be effective at implementing an integrated safety, health and environmental (SHE) management system, they require the right level of organisational capability. This capability includes the policies, systems and resources of the organisation. However, within the academic literature, it is unclear which organisational attributes of construction companies are important for implementing integrated SHE management. This study aims to explore the organisational attributes that determine integrated SHE management capability and their relative priorities.

The study used a literature review supported by expert verification and a subsequent three-round expert Delphi technique accompanied by applying the voting analytical hierarchy process.

The study identified 20 attributes grouped under five main thematic categories. These are strategy (the organisation’s vision and top management commitment); process (the organisation’s procedures and processes for SHE management); people (organisation’s human resources, their competence, roles, responsibilities and involvement in SHE management); resources (organisation’s physical and financial resources for SHE management) and information (SHE related documents, data, records and their communication across an organisation). While these thematic categories and the attributes within carry different weights of importance, the strategy-related attributes are the most important, followed by the people-related attributes.

The results of this study should enable construction companies and key industry stakeholders to understand construction companies’ capability to successfully implement an integrated SHE management system. Furthermore, construction companies should be able to prioritise efforts or investments to enhance their SHE management capability.