Longzhen Ni, Liang Fang and Wenhui Chen
The aim of this study is to depict the spatial pattern of the development level of China's state-owned forest farms, thereby providing theoretical reference and empirical evidence…
Abstract
Purpose
The aim of this study is to depict the spatial pattern of the development level of China's state-owned forest farms, thereby providing theoretical reference and empirical evidence for the improvement of the corresponding development policies.
Design/methodology/approach
A development evaluation index system was established in this paper to comprehensively measure the development level of China's state-owned forest farms based on the Pressure-State-Response (PSR) model analysis framework and the actual situation of state-owned forest farms by using the entropy weight - technique for order preference by similarity to an ideal solution (entropy weight TOPSIS) evaluation method and exploratory spatial analysis method.
Findings
Studies show that the state-owned forest farms in China are generally not well developed. The pressure system that represents the input level displays an apparent restrictive effect on provinces whose comprehensive score <0.15. The response system, which represents development dynamism, has an apparent restrictive function on the provinces whose comprehensive score is 0.35. In terms of the specific spatial characteristics, the V-shape displayed by southwest–northwest and southeast–northwest has an inward trend of gradual reduction, with high-low agglomeration and low-low agglomeration correlation effects as well as apparent basin characteristics.
Originality/value
In this paper, the development level and spatial pattern of state-owned forest farms in China were accurately depicted, and the development path support and decision-making basis were provided for improving the overall development level of state-owned forest farms in China.
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Wenhui Fu, Min Zhang, Xiande Zhao and Fu Jia
This paper aims to empirically explore the evolution of servitization and how platforms affect the transition between the stages of servitization.
Abstract
Purpose
This paper aims to empirically explore the evolution of servitization and how platforms affect the transition between the stages of servitization.
Design/methodology/approach
The authors conducted an in-depth case study of a Chinese manufacturer (i.e. Haier) using a longitudinal design. Three rounds of data collection were conducted between 2014 and 2020. The authors carried out 50 semi-structured interviews and 11 workshops to collect data from senior and middle managers of Haier and its business partners.
Findings
The authors found that Haier’s servitization journey includes three stages (i.e. product-oriented solution, integrated solution and smart connected solutions) that evolve in the target of the services and the digital components of the solutions. Haier has also developed three types of platforms (i.e. service platform, supply chain platform and platform ecosystem) to support the implementation of servitization. The empirical evidence reveals that platforms can address the complexities that emerged when Haier implements the different stages of servitization as well as enable Haier to transition from one stage of servitization to the next.
Originality/value
This study enhances the current understanding of the evolution of servitization and the roles of digital technologies in the transition between the stages of servitization. It also provides empirical evidence regarding how the platform approach enables the development of servitization. By clarifying the interplay between servitization and platforms, this study provides guidelines for managers on how to develop platforms to both advance and benefit from servitization.
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Huaxiang Song, Hanjun Xia, Wenhui Wang, Yang Zhou, Wanbo Liu, Qun Liu and Jinling Liu
Vision transformers (ViT) detectors excel in processing natural images. However, when processing remote sensing images (RSIs), ViT methods generally exhibit inferior accuracy…
Abstract
Purpose
Vision transformers (ViT) detectors excel in processing natural images. However, when processing remote sensing images (RSIs), ViT methods generally exhibit inferior accuracy compared to approaches based on convolutional neural networks (CNNs). Recently, researchers have proposed various structural optimization strategies to enhance the performance of ViT detectors, but the progress has been insignificant. We contend that the frequent scarcity of RSI samples is the primary cause of this problem, and model modifications alone cannot solve it.
Design/methodology/approach
To address this, we introduce a faster RCNN-based approach, termed QAGA-Net, which significantly enhances the performance of ViT detectors in RSI recognition. Initially, we propose a novel quantitative augmentation learning (QAL) strategy to address the sparse data distribution in RSIs. This strategy is integrated as the QAL module, a plug-and-play component active exclusively during the model’s training phase. Subsequently, we enhanced the feature pyramid network (FPN) by introducing two efficient modules: a global attention (GA) module to model long-range feature dependencies and enhance multi-scale information fusion, and an efficient pooling (EP) module to optimize the model’s capability to understand both high and low frequency information. Importantly, QAGA-Net has a compact model size and achieves a balance between computational efficiency and accuracy.
Findings
We verified the performance of QAGA-Net by using two different efficient ViT models as the detector’s backbone. Extensive experiments on the NWPU-10 and DIOR20 datasets demonstrate that QAGA-Net achieves superior accuracy compared to 23 other ViT or CNN methods in the literature. Specifically, QAGA-Net shows an increase in mAP by 2.1% or 2.6% on the challenging DIOR20 dataset when compared to the top-ranked CNN or ViT detectors, respectively.
Originality/value
This paper highlights the impact of sparse data distribution on ViT detection performance. To address this, we introduce a fundamentally data-driven approach: the QAL module. Additionally, we introduced two efficient modules to enhance the performance of FPN. More importantly, our strategy has the potential to collaborate with other ViT detectors, as the proposed method does not require any structural modifications to the ViT backbone.
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Wenhui Wang, Yin Zhang, Jing Han and Ping Liang
As one of the nearest and most important groups of resource guardians, local teenagers are an important force for current and especially future world heritage protection…
Abstract
Purpose
As one of the nearest and most important groups of resource guardians, local teenagers are an important force for current and especially future world heritage protection. Nurturing their awareness of world heritage protection is an important way to achieve the sustainable development of world heritage sites (WHS). The purpose of this paper is to present a case study of local teenagers of Tai’an city in China with the aim of examining how they have developed consciousness of their role as “world heritage guardians.”
Design/methodology/approach
Semi-structured interviews are used to examine the awareness of 15 local teenagers on world heritage protection. The interview results are then qualitatively analyzed by using a systematic coding process.
Findings
The analysis shows that the formation of the guardianship role is realized through three dimensions: recognition, emotion, and action, which are subjected to role awakening, role identifying, and role strengthening stage by stage. The personal experiences of the interviewees, as well as the impact from surrounding groups both serve to influence the formation of their role as “world heritage guardians.”
Research limitations/implications
The framework constructed in this study on the development of teenagers’ role consciousness cannot only apply to world heritage and environmental contexts in terms of awareness of the need for conservation, but be used toward behavioral studies of other age groups.
Practical implications
The findings can be used as a practical guide for school teachers, government officials, and heritage managers to better carry out educational programs in terms of heritage tourism and sustainable development of WHS for teenagers.
Originality/value
The teenagers’ population is underrepresented in the literature in terms of community involvement with world heritage. This study is meaningful because the focus is on improving local teenagers’ awareness of the value and importance of world heritage and their preservation.
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Yanhong Gan, Xingyu Gao, Wenhui Zhou, Siyuan Ke, Yangguang Lu and Song Zhang
The advanced technology enables retailers to develop customer profile analysis (CPA) to implement personalized pricing. However, considering the efficiency of developing CPA, the…
Abstract
Purpose
The advanced technology enables retailers to develop customer profile analysis (CPA) to implement personalized pricing. However, considering the efficiency of developing CPA, the benefit to different retailers of implementing more precise personalized pricing remains unclear. Thus, this essay aimed to investigate the impact of efficiency on participants’ strategies and profits in the supply chain.
Design/methodology/approach
A two-stage game model was introduced in the presence of a manufacturer who sets his wholesale price and a retailer that decides her CPA strategy. The equilibrium results were generated by backward induction.
Findings
Most retailers are willing to develop the highest CPA to implement perfect personalized pricing, but those inefficient retailers with high production costs would like to determine a middle CPA to implement bounded personalized pricing. The retailers’ profits may decrease with the efficiency of developing CPA when the efficiency is middle. In this case, as the efficiency improves, the manufacturer increases the wholesale price, resulting in lower demand and thus lower profits. Moreover, define a Pareto Improvement (PI) strategy as one that benefits both manufacturers and retailers. Therefore, uniform pricing is a PI when the unit cost is high and the efficiency is low; personalized pricing is a PI when the unit cost is low and the efficiency is low or high; otherwise, there is no PI.
Originality/value
This study is the first that investigates how the retailer develops CPA to implement personalized pricing on a comprehensive spectrum, which can provide practical insights for retailers with different efficiencies.
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The authors investigate the manufacturer's choice of discount schemes in a supply chain with competing retailers.
Abstract
Purpose
The authors investigate the manufacturer's choice of discount schemes in a supply chain with competing retailers.
Design/methodology/approach
Using a game-theoretic model, the authors build two discount frameworks and compare and analyze the effects of different discount schemes on the performance of supply chain members.
Findings
The authors find that the retail price (market demand) in the quantity discount scheme is always higher (lower) than that in the market share discount scheme. The authors also find that the retailers' preference for discount schemes is antithetical to the manufacturer's preference in most cases. However, under certain conditions, there will be a win-win situation where Pareto-optimization occurs between the manufacturer and retailers when they choose the same discount scheme.
Research limitations/implications
On the one hand, the authors assume that the two retailers are symmetrical in market size and operation efficiency. It would be interesting to study the effect of different discount schemes on retailers when the retailers have different market sizes or operating efficiency. On the other hand, the authors study the manufacturer's choice of discount schemes in a supply chain with one common manufacturer and two competing retailers. However, in practice, there exist other supply chain structures. Future research can examine the problem of choices of discount schemes in other different supply chain structures.
Practical implications
This paper help retailers and manufacturers to choose the best discount schemes.
Social implications
This paper suggests that a high discount scale is not always beneficial (detrimental) to retailers (the manufacture).
Originality/value
The authors build two discount schemes (the quantity and the market share) in a supply chain consisting of one manufacturer and two retailers, and the authors focus on the effects of different discount schemes on the competition between two retailers. By comparing the two discount schemes, the authors study which discount scheme is the better choice for the manufacturer when facing competing retailers.
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Tan Jiang, Guang Luo, Zikai Wang and Wenhui Yu
The purpose of this study is to analyse and discuss the influencing factors of user experience in university mobile libraries and the improvement path of user experience in the…
Abstract
Purpose
The purpose of this study is to analyse and discuss the influencing factors of user experience in university mobile libraries and the improvement path of user experience in the context of mobile learning.
Design/methodology/approach
The study adopted the grounded theory research method, and the sample included 28 students from five universities, with mobile libraries as the research objects and semi-structured interview as data acquisition method. A step-by-step coding analysis of the original interview materials was conducted, which comprehensively identified the main concerns and problems encountered by users of the university mobile library apps especially in the mobile learning behaviour mode, and then a theoretical model of the influencing factors of the app user experience of the university mobile library was constructed.
Findings
A theoretical model of influencing factors was constructed, which determined that system quality, interaction quality, content quality, interface quality and function quality were the key elements of mobile library user experiences. Furthermore, based on the research results and user feedback obtained in the research process, the content and key points relating to the user experience can be elaborated in detail. In addition, this study was able to determine users' perspectives and their behavioural characteristics when engaging in mobile learning.
Originality/value
This study establishes a theoretical model of the factors influencing of the user experience of university mobile libraries based on mobile learning, which could provide a valuable reference for the design of other programs and strategies to promote user learning experiences of mobile library app in colleges and universities.
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Wenhui Fu, Qiang Wang and Xiande Zhao
The purpose of this paper is to systematically review the platform literature and synthesize the various topics of research into a common framework to reveal the relations between…
Abstract
Purpose
The purpose of this paper is to systematically review the platform literature and synthesize the various topics of research into a common framework to reveal the relations between platform-based service innovation, system design and other platform-related factors.
Design/methodology/approach
A quantitative descriptive analysis led to an overview of the distribution of research focuses of the 187 sample articles identified by a well-established search strategy. A qualitative in-depth review was then used to clarify the detailed research topics and generate an overall conceptual model to link them, with a focus on platform-based service innovation and system design.
Findings
In total, 11 research topics of three research perspectives were identified and linked by a framework that accounts for the relationships between platform-based service innovation and system design and their influences on platform evolution. A small panel of industry experts validated the accuracy and utility of the proposed framework.
Originality/value
This paper provides an integrated framework for separately developed research perspectives and the topics investigated in the platform literature. Through the proposed framework, this paper helps to improve the knowledge on platform study and management, and lays a foundation for exploring the research opportunities in platform-based service innovation and system design.
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Rongen Yan, Depeng Dang, Hu Gao, Yan Wu and Wenhui Yu
Question answering (QA) answers the questions asked by people in the form of natural language. In the QA, due to the subjectivity of users, the questions they query have different…
Abstract
Purpose
Question answering (QA) answers the questions asked by people in the form of natural language. In the QA, due to the subjectivity of users, the questions they query have different expressions, which increases the difficulty of text retrieval. Therefore, the purpose of this paper is to explore new query rewriting method for QA that integrates multiple related questions (RQs) to form an optimal question. Moreover, it is important to generate a new dataset of the original query (OQ) with multiple RQs.
Design/methodology/approach
This study collects a new dataset SQuAD_extend by crawling the QA community and uses word-graph to model the collected OQs. Next, Beam search finds the best path to get the best question. To deeply represent the features of the question, pretrained model BERT is used to model sentences.
Findings
The experimental results show three outstanding findings. (1) The quality of the answers is better after adding the RQs of the OQs. (2) The word-graph that is used to model the problem and choose the optimal path is conducive to finding the best question. (3) Finally, BERT can deeply characterize the semantics of the exact problem.
Originality/value
The proposed method can use word-graph to construct multiple questions and select the optimal path for rewriting the question, and the quality of answers is better than the baseline. In practice, the research results can help guide users to clarify their query intentions and finally achieve the best answer.
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Abstract
Purpose
Mega construction projects (MCPs), which play an important role in the economy, society and environment of a country, have developed rapidly in recent years. However, due to frequent social conflicts caused by the negative social impact of MCPs, social risk control has become a major challenge. Exploring the relationship between social risk factors and social risk from the perspective of risk evolution and identifying key factors contribute to social risk control; but few studies have paid enough attention to this. Therefore, this study aims to systematically analyze the impact of social risk factors on social risk based on a social risk evolution path.
Design/methodology/approach
This study proposed a social risk evolution path for MCPs explaining how social risk occurs and develops with the impact of social risk factors. To further analyze the impact quantitatively, a social risk analysis model combining structural equation model (SEM) with Bayesian network (BN) was developed. SEM was used to verify the relationship in the social risk evolution path. BN was applied to identify key social risk factors and predict the probabilities of social risk, quantitatively. The feasibility of the proposed model was verified by the case of water conservancy projects.
Findings
The results show that negative impact on residents’ living standards, public opinion advantage and emergency management ability were key social risk factors through sensitivity analysis. Then, scenario analysis simulated the risk probability results with the impact of different states of these key factors to obtain management strategies.
Originality/value
This study creatively proposes a social risk evolution path describing the dynamic interaction of the social risk and first applies the hybrid SEM–BN method in the social risk analysis for MCPs to explore effective risk control strategies. This study can facilitate the understanding of social risk from the perspective of risk evolution and provide decision-making support for the government coping with social risk in the implementation of MCPs.