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Article
Publication date: 3 April 2018

Jing-Wen Huang and Yong-Hui Li

Empirical evidences support the benefits of environmental innovation to improve performance. However, previous research has not considered the role of resource alignment in green…

2276

Abstract

Purpose

Empirical evidences support the benefits of environmental innovation to improve performance. However, previous research has not considered the role of resource alignment in green supply chain management. To fill the research gap, this paper aims to identify resource alignment as a potential moderating mechanism and to examine the relationships between environmental innovation strategy, resource alignment and green innovation performance.

Design/methodology/approach

The empirical study uses a questionnaire approach designed to collect data. Regression analysis is used for hypotheses testing.

Findings

The findings indicate that environmental innovation strategy and resource alignment between partners are positively related to green innovation performance. This study also provides considerable support to the key contingent moderator of resource alignment. The positive effect of environmental innovation strategy on green innovation performance is stronger under the conditions of a higher level of resource alignment between partners.

Research limitations/implications

This study provides empirical support of the ecological modernization theory and integrates partner analysis literature and green management literature. Higher resource alignment may facilitate firms to develop environmental innovation strategy to attain green innovation performance.

Practical implications

Environmental innovation strategy enables firms to integrate ecological issues into their business operation. Managers could learn how to execute environmental incentive programs to promote sustainable development of green new product and green process. Managers need to pay attention to resource alignment that may have moderating influence on the performance outcomes of environmental innovation strategy.

Originality/value

This study highlights the importance of environmental innovation strategy and resource alignment in the process of green management and helps scholars and managers to better understand the moderator of resource alignment in quest of environmental innovation and green management.

Details

Journal of Business & Industrial Marketing, vol. 33 no. 3
Type: Research Article
ISSN: 0885-8624

Keywords

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Article
Publication date: 5 June 2017

Jing-Wen Huang and Yong-Hui Li

Learning orientation is critical in new product development. However, research has disregarded how learning orientation operates via the potential mediator to influence new…

1030

Abstract

Purpose

Learning orientation is critical in new product development. However, research has disregarded how learning orientation operates via the potential mediator to influence new product performance. The purpose of this study is to examine the mediating role of ambidextrous capability in the relationship between learning orientation and new product performance.

Design/methodology/approach

The empirical study uses a questionnaire approach designed to collect data for testing research hypotheses. This study tests the hypotheses using structural equation model in a sample of 336 firms in Taiwan.

Findings

The findings indicate that learning orientation relates positively to ambidextrous capability and new product performance. Ambidextrous capability, in turn, relates positively to new product performance. The results also support the argument that ambidextrous capability plays a mediating role in learning orientation and new product performance.

Originality/value

The value of this study is to identify ambidextrous capability as the potential mediator in the relationship between learning orientation and new product performance. The results enrich the understanding of learning orientation in new product project teams and suggest important implications for new product development and future research.

Details

Journal of Business & Industrial Marketing, vol. 32 no. 5
Type: Research Article
ISSN: 0885-8624

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Article
Publication date: 12 June 2009

Jing‐Wen Huang and Yong‐Hui Li

The purpose of this paper is to examine the mediating role of knowledge management in the relationship between social interaction and innovation performance.

4441

Abstract

Purpose

The purpose of this paper is to examine the mediating role of knowledge management in the relationship between social interaction and innovation performance.

Design/methodology/approach

The population in the study is the Taiwanese firms listed in the China Credit Information Service Incorporation. A stratified random sampling method was used to select 176 firms in Taiwan. The usable response rate was 23.47 per cent. The study employed LISREL to test the hypothesized relationships in the path‐analytic framework.

Findings

The results indicate that social interaction is positively related to knowledge management. Knowledge management is, in turn, positively related to administrative and technical innovation performance. Further, the results provide evidence that knowledge management plays a mediating role between social interaction and innovation performance.

Originality/value

The study highlights the importance of social interaction and knowledge management in the process of innovation, and helps scholars and managers to better understand the mediator of knowledge management through which social interaction benefits innovation performance.

Details

International Journal of Manpower, vol. 30 no. 3
Type: Research Article
ISSN: 0143-7720

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Article
Publication date: 14 May 2018

Syeda Mehak Fatima Gillani, Salman Iqbal, Shumaila Akram and Mamoona Rasheed

The purpose of this study is to examine the antecedents of specific human resource management (HRM) practices and trust on knowledge sharing (KS) behavior of employees.

851

Abstract

Purpose

The purpose of this study is to examine the antecedents of specific human resource management (HRM) practices and trust on knowledge sharing (KS) behavior of employees.

Design/methodology/approach

In the first phase, a questionnaire survey was used to collect the data from 350 randomly selected individuals working in banks. In the second phase, ten managerial-level employees were interviewed to triangulate the findings of the survey.

Findings

The results revealed that employees viewed trust, recruitment and selection and performance appraisals have a positive relationship with KS behavior. However, training and development and incentives have no impact on KS.

Originality/value

The value of this paper lies in the understanding gained about the interactive effects of KS and HR practices using the structural equation modeling technique. This paper will help in understanding the factors that can promote KS. This study will be helpful for employees, managers and policymakers. This study may help in highlighting the significant role of HR practices.

Details

VINE Journal of Information and Knowledge Management Systems, vol. 48 no. 2
Type: Research Article
ISSN: 2059-5891

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Article
Publication date: 12 April 2022

Yingsi Wu, Kai Yang Thum, Hui Ting Yong, Aleksander Gora, Alfred Iing Yoong Tok and Vitali Lipik

Personal thermal management in functional textiles is in increasing demand for health care, outdoor activity and energy saving. Thus, developing new strategies is highly desired…

233

Abstract

Purpose

Personal thermal management in functional textiles is in increasing demand for health care, outdoor activity and energy saving. Thus, developing new strategies is highly desired for radiative cooling and/or heating by manipulation of the transmissivity, reflectivity and absorptivity of the textiles within solar energy and human body heat radiation ranges.

Design/methodology/approach

Inorganic additives including TiO2, Fe2O3, carbon black (CB), graphene and mica were incorporated into polymer films. The inorganic additives' full spectrum properties and thermal responses were comprehensively investigated.

Findings

The CB composite film showed the highest absorptivity over the full solar to human body radiation spectrum. The mica-white (mica-w) (mica coated with TiO2) and mica-red (mica-r) (mica coated with Fe2O3) composites showed the lowest solar energy absorptivity and a strong body heat radiation reflectivity. Furthermore, according to composites' thermal responses to the simulated solar and human body radiations, CB and mica are promising for both cooling and heating when applied in dual-functional thermal management textiles.

Research limitations/implications

Research has limitation related the amount of additives which can be added to textile. When powder is added to polyester yarn, the amount is limited by 2–3%. When powder is added to the composite which is used for printing, the amount of powder is limited by 5%.

Practical implications

A lot of apparel, especially sport apparel, contains prints. Decoration is one part of print application. Now, a lot of companies work under development of different additives, which provide additional properties to apparel. The closest targets for powder added to prints are cooling and heat retention. Quite often, inorganic additives possess dual properties: the inorganic additives may be heat reflective which his needed for heat retention, but may have high-thermal conductivity, which works well for cooling. Human body has complicated mechanism of heat exchange: convection, radiation and moisture evaporations play main role. The same additive may be cooling if there is a contact with skin but may be heating (IR reflective) if placed in the second or third layer. Thus, effect is needed to be studied first before real application.

Originality/value

This work could provide a comprehensive guideline for the rational design and application of thermal management composite textile materials by revealing the full solar to human body radiation performance of a series of inorganic materials.

Details

International Journal of Clothing Science and Technology, vol. 34 no. 4
Type: Research Article
ISSN: 0955-6222

Keywords

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Article
Publication date: 3 July 2017

Maria Caridi, Margherita Pero and Andrea Sianesi

Researchers ascertain that the more the activities of new product development (NPD) process are outsourced to partners, the higher the need for integration. The purpose of this…

385

Abstract

Purpose

Researchers ascertain that the more the activities of new product development (NPD) process are outsourced to partners, the higher the need for integration. The purpose of this paper is to study: the extent to which the amount of information shared with the partners during NPD projects (DC visibility) depends on the degree of outsourcing (DC virtuality), and what are the context variables (product features and business relationship features) that influence this relationship.

Design/methodology/approach

This paper provides two sets of quantitative indexes to measure: the relevance of the activities outsourced during the NPD project (i.e. virtuality), in terms of the spread of the outsourced technological knowledge, and in terms of outsourced workload; and the amount of information that a focal company shares with product development partners (i.e. visibility). Seven NPD projects in different companies have been analyzed to investigate visibility, virtuality, and the implications of contingencies.

Findings

The cross-case analysis shows that the amount of information shared with the partners during the NPD project varies with the relevance of outsourced activities. In particular, the higher the relevance, the higher the amount of information shared with the partner. Partner location and integration, trust, and ICT support have a role in determining the amount of information shared with each single partner.

Originality/value

This study adopts an original network perspective in that the whole set of partners involved in the NPD process is analyzed. New quantitative indexes of visibility and virtuality of NPD projects are proposed, along with original insights about the impact of context variables. The quantitative indexes also provide a useful managerial tool to evaluate whether a focal company has the possibility to build competitive advantages that exploit unique resources beyond the boundaries of the company.

Details

Benchmarking: An International Journal, vol. 24 no. 5
Type: Research Article
ISSN: 1463-5771

Keywords

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Article
Publication date: 11 April 2022

Xinfa Shi, Ce Cui, Shizhong He, Xiaopeng Xie, Yuhang Sun and Chudong Qin

The purpose of this paper is to identify smaller wear particles and improve the calculation speed, identify more abrasive particles and promote industrial applications.

272

Abstract

Purpose

The purpose of this paper is to identify smaller wear particles and improve the calculation speed, identify more abrasive particles and promote industrial applications.

Design/methodology/approach

This paper studies a new intelligent recognition method for equipment wear debris based on the YOLO V5S model released in June 2020. Nearly 800 ferrography pictures, 23 types of wear debris, about 5,000 wear debris were used to train and test the model. The new lightweight approach of wear debris recognition can be implemented in rapidly and automatically and also provide for the recognition of wear debris in the field of online wear monitoring.

Findings

An intelligent recognition method of wear debris in ferrography image based on the YOLO V5S model was designed. After the training, the GIoU values of the model converged steadily at about 0.02. The overall precision rate and recall rate reached 0.4 and 0.5, respectively. The overall MAP value of each type of wear debris was 40.5, which was close to the official recognition level of YOLO V5S in the MS COCO competition. The practicality of the model was approved. The intelligent recognition method of wear debris based on the YOLO V5S model can effectively reduce the sensitivity of wear debris size. It also has a good recognition effect on wear debris in different sizes and different scales. Compared with YOLOV. YOLOV, Mask R-CNN and other algorithms%2C, the intelligent recognition method based on the YOLO V5S model, have shown their own advantages in terms of the recognition effect of wear debris%2C the operation speed and the size of weight files. It also provides a new function for implementing accurate recognition of wear debris images collected by online and independent ferrography analysis devices.

Originality/value

To the best of the authors’ knowledge, the intelligent identification of wear debris based on the YOLO V5S network is proposed for the first time, and a large number of wear debris images are verified and applied.

Details

Industrial Lubrication and Tribology, vol. 74 no. 5
Type: Research Article
ISSN: 0036-8792

Keywords

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