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Article
Publication date: 2 May 2022

Yaqin Zou, Xuemei Jiang, Caiyun Wen and Yang Li

After the Collective Forest Tenure Reform (CFTR) in China, the enthusiasm of farmers for forestry management is stimulated. However, the forest tenure security varies among…

656

Abstract

Purpose

After the Collective Forest Tenure Reform (CFTR) in China, the enthusiasm of farmers for forestry management is stimulated. However, the forest tenure security varies among farmers, making the research conclusions of its impact on forestry management efficiency inconsistent. Based on the survey data of 1,627 households from the collective forest regions in 6 provinces of China in 2017, this paper not only discusses the differences of farmers' forestry management efficiency after the reform, but also further explores the heterogeneous impact of forest tenure security on forestry management efficiency in combination with different forest management types.

Design/methodology/approach

This study employed the stochastic frontier production function model to measure the forestry management efficiency of farmers. Then, Tobit models were used to discuss the influencing factors of farmers' forestry management efficiency.

Findings

The results demonstrate that the improvement of farmers' forest tenure security can effectively improve forestry management efficiency, but the effect is affected by forest management types. For farmers who manage economic forests and non-timber forests, safe tenure promotes the forestry management efficiency; while for those who manage ecological public welfare forests, tenure security plays an opposite role.

Originality/value

Therefore, satisfying farmers' differentiated demands for forest tenure according to forest management types to improve forest tenure security and further refining supporting policies of collective forestry reform is of great significance to improve the efficiency of farmers' forestry management in collective forest regions.

Details

Forestry Economics Review, vol. 4 no. 1
Type: Research Article
ISSN: 2631-3030

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Article
Publication date: 3 December 2024

Yaqin Liu, Qian Yu and Jing Li

This study aims to explore the factors influencing the evolution of emerging technology innovation network (ETIN) in combination with the key attributes and life cycle of emerging…

93

Abstract

Purpose

This study aims to explore the factors influencing the evolution of emerging technology innovation network (ETIN) in combination with the key attributes and life cycle of emerging technologies, particularly the impact of multiple knowledge attributes and technology life cycle on the ETIN evolution.

Design/methodology/approach

This study collects 5G patent data and their citation information from the Derwent Innovations Index to construct a 5G technology innovation network (5GIN) as a sample network and conducts an empirical analysis of the 5GIN using the temporal exponential random graph model (TERGM).

Findings

The results indicate that during the 5GIN evolution, the network scale continues to expand and exhibits increasingly significant core-periphery structure, scale-free characteristic, small-world characteristic and community structure. Furthermore, the findings suggest that the multiple knowledge attributes based on the key attributes of emerging technologies, including knowledge novelty, coherence, growth and impact, have a significant positive influence on the ETIN evolution. Meanwhile, the temporal evolution of ETIN is also found to be correlated with the life cycle of emerging technologies.

Originality/value

This study extends the exploration of emerging technology research from a complex network perspective, providing a more realistic explanatory framework for the factors influencing ETIN evolution. It further highlights the important role that multiple knowledge attributes and the technology life cycle play within this framework.

Details

Journal of Knowledge Management, vol. 29 no. 2
Type: Research Article
ISSN: 1367-3270

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Article
Publication date: 24 August 2021

Yaqin Zheng, Dong Liu, Yi Zheng and Zhimei Zang

This study aims to investigate moderators affecting the impact of salesperson acquisition-retention (AR) ambidexterity on sales performance based on the…

753

Abstract

Purpose

This study aims to investigate moderators affecting the impact of salesperson acquisition-retention (AR) ambidexterity on sales performance based on the motivation-opportunity-ability (MOA) framework.

Design/methodology/approach

The authors collected triadic data through 391 questionnaires from salespeople, 50 questionnaires from sales managers and archival data about each salesperson’s performance. Hierarchical linear modeling was applied to test the hypotheses.

Findings

The results indicate that salesperson AR ambidexterity positively affects sales performance. The positive effect is strengthened by capability control but weakened by outcome control and activity control. The authors also find that sales experience and market attractiveness hurt the effectiveness of salesperson AR ambidexterity.

Research limitations/implications

First, this study does not examine the mediating mechanism underlying the effect of salesperson AR ambidexterity. Second, sales-service ambidexterity is another ambidextrous variable for salespeople. Future research can consider AR and sales-service ambidexterity together.

Practical implications

First, managers should be cautious when encouraging experienced salespeople to conduct AR ambidexterity. Second, managers need to use capability control to motivate salespeople with AR ambidextrous behaviors. Third, AR ambidexterity could be not required in a market with many opportunities.

Originality/value

Although some studies have examined the effectiveness of salesperson AR ambidexterity, they reveal inconsistent findings, which suggest contingent conditions on the effectiveness of salesperson AR ambidexterity. However, the attention on the contingent conditions is limited. Therefore, this paper systematically investigates the contingent conditions from the MOA framework. The findings provide some insights into when salesperson AR ambidexterity is effective.

Details

Journal of Business & Industrial Marketing, vol. 37 no. 5
Type: Research Article
ISSN: 0885-8624

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Article
Publication date: 27 January 2023

Yangdong Liu, Siyuan Lu, Hongyi Tu, Boyuan Zhang, Yaqin Zhao, Jiasheng He, Liangliang He and Zhenbin Chen

To save the economic cost and improve the performance of enterprises, this study aims to synthesize high performance immobilized penicillin G acylase (PGA) carriers with fast…

96

Abstract

Purpose

To save the economic cost and improve the performance of enterprises, this study aims to synthesize high performance immobilized penicillin G acylase (PGA) carriers with fast reaction speed, high recovery rate of enzyme activity and good reusability through corresponding theoretical guidance and experimental exploration.

Design methodology approach

A diblock resin was synthesized by reversible addition-fragmentation chain transfer polymerization method using N, N-diethylacrylamide (DEA) and β-hydroxyethyl methacrylate (HEMA) as functional monomers poly(N, N-diethylacrylamide)-b-poly(β-hydroxyethyl methacrylate) (PDEA-b-PHEMA) was obtained, and the effect of the ratio of DEA and HEMA on the activity of PGA was investigated, and the appropriate block ratio of DEA and HEMA was obtained. After that, the competitive rate of HEMA and glycidyl methacrylate (GMA) under the carrier preparation conditions was investigated. Based on the above work, a thermosensitive resin carrier PDEA-b-PHEMA-b-P(HEMA-co-GMA) with different target distances was synthesized, and the chemical structures and molecular weight of copolymers were investigated by hydrogen NMR (1H NMR).

Findings

The lower critical solution temperature of the resin support decreases with the increase of the monomer HEMA in the random copolymerization; the catalytic performance study indicated that the response rate of the immobilized PGA is fast, and the recovery rate of the enzyme activity of the immobilized PGA varies with the distance between the targets. When the molar ratio of HEMA to GMA in the resin block is 8.15:1 [i.e. resin PDEA100-b-PHEMA10-b-P(HEMA65-co-GMA8)], the activity recovery rate of immobilized PGA can reach 50.51%, which was 15.49% higher than that of pure GMA immobilized PGA.

Originality value

This contribution provides a novel carrier for immobilizing PGA. Under the optimal molar ratio, the enzyme activity recovery could be up to 50.51%, which was 15.49% higher than that of PGA immobilized on the carrier with nonregulated distance between two immobilization sites.

Details

Pigment & Resin Technology, vol. 53 no. 5
Type: Research Article
ISSN: 0369-9420

Keywords

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Article
Publication date: 9 April 2024

Shola Usharani, R. Gayathri, Uday Surya Deveswar Reddy Kovvuri, Maddukuri Nivas, Abdul Quadir Md, Kong Fah Tee and Arun Kumar Sivaraman

Automation of detecting cracked surfaces on buildings or in any industrially manufactured products is emerging nowadays. Detection of the cracked surface is a challenging task for…

109

Abstract

Purpose

Automation of detecting cracked surfaces on buildings or in any industrially manufactured products is emerging nowadays. Detection of the cracked surface is a challenging task for inspectors. Image-based automatic inspection of cracks can be very effective when compared to human eye inspection. With the advancement in deep learning techniques, by utilizing these methods the authors can create automation of work in a particular sector of various industries.

Design/methodology/approach

In this study, an upgraded convolutional neural network-based crack detection method has been proposed. The dataset consists of 3,886 images which include cracked and non-cracked images. Further, these data have been split into training and validation data. To inspect the cracks more accurately, data augmentation was performed on the dataset, and regularization techniques have been utilized to reduce the overfitting problems. In this work, VGG19, Xception and Inception V3, along with Resnet50 V2 CNN architectures to train the data.

Findings

A comparison between the trained models has been performed and from the obtained results, Xception performs better than other algorithms with 99.54% test accuracy. The results show detecting cracked regions and firm non-cracked regions is very efficient by the Xception algorithm.

Originality/value

The proposed method can be way better back to an automatic inspection of cracks in buildings with different design patterns such as decorated historical monuments.

Details

International Journal of Structural Integrity, vol. 15 no. 3
Type: Research Article
ISSN: 1757-9864

Keywords

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