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Article
Publication date: 13 September 2021

Yan Xu, Hong Qin, Jiani Huang and Yanyun Wang

Conventional learning-based visual odometry (VO) systems usually use convolutional neural networks (CNN) to extract features, where some important context-related and…

155

Abstract

Purpose

Conventional learning-based visual odometry (VO) systems usually use convolutional neural networks (CNN) to extract features, where some important context-related and attention-holding global features might be ignored. Without essential global features, VO system will be sensitive to various environmental perturbations. The purpose of this paper is to design a novel learning-based framework that aims to improve accuracy of learning-based VO without decreasing the generalization ability.

Design/methodology/approach

Instead of CNN, a context-gated convolution is adopted to build an end-to-end learning framework, which enables convolutional layers that dynamically capture representative local patterns and composes local features of interest under the guidance of global context. In addition, an attention mechanism module is introduced to further improve learning ability and enhance robustness and generalization ability of the VO system.

Findings

The proposed system is evaluated on the public data set KITTI and the self-collected data sets of our college building, where it shows competitive performance compared with some classical and state-of-the-art learning-based methods. Quantitative experimental results on the public data set KITTI show that compared with CNN-based VO methods, the average translational error and rotational error of all the test sequences are reduced by 45.63% and 37.22%, respectively.

Originality/value

The main contribution of this paper is that an end-to-end deep context gate convolutional VO system based on lightweight attention mechanism is proposed, which effectively improves the accuracy compared with other learning-based methods.

Details

Industrial Robot: the international journal of robotics research and application, vol. 49 no. 1
Type: Research Article
ISSN: 0143-991X

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Article
Publication date: 21 October 2019

Xiaoquan Chu, Yue Li, Dong Tian, Jianying Feng and Weisong Mu

The purpose of this paper is to propose an optimized hybrid model based on artificial intelligence methods, use the method of time series forecasting, to deal with the price…

318

Abstract

Purpose

The purpose of this paper is to propose an optimized hybrid model based on artificial intelligence methods, use the method of time series forecasting, to deal with the price prediction issue of China’s table grape.

Design/methodology/approach

The approaches follows the framework of “decomposition and ensemble,” using ensemble empirical mode decomposition (EEMD) to optimize the conventional price forecasting methods, and, integrating the multiple linear regression and support vector machine to build a hybrid model which could be applied in solving price series predicting problems.

Findings

The proposed EEMD-ADD optimized hybrid model is validated to be considered satisfactory in a case of China’ grape price forecasting in terms of its statistical measures and prediction performance.

Practical implications

This study would resolve the difficulties in grape price forecasting and provides an adaptive strategy for other agricultural economic predicting problems as well.

Originality/value

The paper fills the vacancy of concerning researches, proposes an optimized hybrid model integrating both classical econometric and artificial intelligence models to forecast price using time series method.

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Article
Publication date: 22 March 2024

Mai Thi Kim Khanh and Chau Huy Ngoc

Cambodian and Laotian students (CLS) are among the largest groups of international students in intra-ASEAN student mobility as well as in Vietnamese higher education institutions…

204

Abstract

Purpose

Cambodian and Laotian students (CLS) are among the largest groups of international students in intra-ASEAN student mobility as well as in Vietnamese higher education institutions (HEIs). However, little has been researched on the factors influencing CLS’s decision to choose Vietnam as destination country. The purpose of this study is to investigate why CLS decide to go overseas and choose Vietnam as their host country among other opportunities as well as their perceptions of the decision.

Design/methodology/approach

Using qualitative methods and employing purposive sampling, data were collected by semi-structured interviews from CLS studying in a HEI in the Mekong Delta of Vietnam. The data were analysed against the push–pull framework to understand factors influencing the participants’ decision.

Findings

The findings show that CLS in the study were “pushed” by the perceived higher value of a foreign qualification and family encouragements. In terms of pull factors, they were attracted to choose Vietnam as the host country most observably due to scholarship opportunities. However other pull factors were also significant, especially the lack of certain skills in home countries and its congruence with Vietnam’s competitive strength in offering courses for those skills. In retrospect, the participants expressed a sense of optimism, though there was also certain reservation.

Research limitations/implications

The small sample restrict the generalisability of the findings.

Practical implications

As an exploratory study, the findings can lay the ground for largerscale studies investigating CLS mobility in Vietnam and be employed for inbound student mobility policymaking reference for HEIs in Vietnam as well as in other developing countries.

Originality/value

This study investigates why Cambodian and Laotian international students decide to go to Vietnam, a developing country in the lesser-known part of international student mobility landscape. This is a topic that remains under-researched in the Asia-bound student mobility literature. Insights from the study can not only contribute to the scholarly gap but also offer implications for HEIs in Vietnam and other Asian countries.

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Case study
Publication date: 27 February 2024

Tianjun Feng, Chunyi Zhang and Jiani He

Established in 2010, Mellower Coffee has 40 exquisite chain stores and three branches, namely Mellower Coffee Sales, Mellower Business Management and Shanghai Mellower Roasting…

Abstract

Established in 2010, Mellower Coffee has 40 exquisite chain stores and three branches, namely Mellower Coffee Sales, Mellower Business Management and Shanghai Mellower Roasting Factory. Positioned as a premium coffee brand in China, Mellower Coffee has realized the integrated operation and management of the whole industrial chain from raw coffee trade, roasting factory, coffee retail products, specialty coffee chain, office coffee to coffee academy. It has a vision to attract and cultivate more and more coffee lovers by constant innovation coffee culture promotion.

Details

FUDAN, vol. no.
Type: Case Study
ISSN: 2632-7635

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Article
Publication date: 23 February 2024

Xinnan Liu, Jiani Meng, Jiayi Wang and Yingbo Ji

This study adopts the perspective of dynamic capabilities to investigate influencing factors and proposes improvement strategies of supply chain resilience of prefabricated…

506

Abstract

Purpose

This study adopts the perspective of dynamic capabilities to investigate influencing factors and proposes improvement strategies of supply chain resilience of prefabricated construction.

Design/methodology/approach

The structural equation model (SEM) is used to identify and verify the relationship between factors influencing supply chain resilience of prefabricated construction from the perspective of dynamic capabilities. The system dynamics (SD) model is constructed to dynamically simulate the specific effects of different influencing factors.

Findings

Results indicate that: (1) An evaluation index system for supply chain resilience of prefabricated construction containing five first-level indicators and 36 second-level indicators is constructed; (2) Ability to anticipate, ability to respond, ability to adapt, ability to recover and ability to learn are positively correlated with the supply chain resilience of prefabricated construction and (3) ANT3 (information system), RES1 (quick response), ADA3 (buffer stock) and LEA4 (trust) are the most leading factors influencing supply chain resilience of prefabricated construction over time.

Originality/value

This study fulfills the need for an in-depth exploration of the various influencing factors on supply chain resilience of prefabricated construction from the perspective of dynamic capabilities. Furthermore, this study provides improvement strategies to enhance supply chain resilience of prefabricated construction in China.

Details

Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

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Article
Publication date: 16 October 2020

Jiangchi Zhang, Chaowu Xie, Jianying Wang, Alastair M. Morrison and J. Andres Coca-Stefaniak

The purpose of this paper is to examine the effect of hotel safety leadership on employee safety behavior during the COVID-19 pandemic, and the mediation role of belief…

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Abstract

Purpose

The purpose of this paper is to examine the effect of hotel safety leadership on employee safety behavior during the COVID-19 pandemic, and the mediation role of belief restoration and the moderation role of perceived risk between safety leadership and behavior were also investigated.

Design/methodology/approach

The COVID-19 outbreak served as the background for a questionnaire survey of 23 hotels in China with 1,594 valid responses being received. The statistical analysis techniques used were exploratory and confirmatory factor analysis, correlation analysis, structural equation modeling and hierarchical regression.

Findings

The results showed that: hotel safety leadership positively affected employee safety behavior (compliance, participation and adaptation); belief restoration partially mediated the influence of safety leadership on safety behavior; and perceived risk negatively moderated the direct effect and the mediation effect of “safety leadership – belief restoration – safety behavior.”

Research limitations/implications

The main limitation was that the questionnaires were collected with the same measurement system within a certain period of time (cross-sectional design). Then, future research should test and expand this conceptual model in different crises, business fields, theoretical orientation and cultural backgrounds.

Practical implications

Hotels should develop management strategies based on safety leadership and motivate and promote employee safety behavior from the four aspects of safety coaching, care, motivation and control.

Originality/value

This investigation expanded the research on the effectiveness of safety leadership and especially with respect to safety in the hospitality industry during a major global crisis. Also, the research conceptual model and variables contained therein are original contributions to the hospitality research literature.

Details

International Journal of Contemporary Hospitality Management, vol. 32 no. 11
Type: Research Article
ISSN: 0959-6119

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Article
Publication date: 18 May 2021

Daoguang Yang, Jiani Wang and Hanwen Chen

This study aims to investigate whether and how earnings guidance affects corporate innovation.

224

Abstract

Purpose

This study aims to investigate whether and how earnings guidance affects corporate innovation.

Design/methodology/approach

Exploiting the setting of China, where the Shenzhen Stock Exchange has required all public firms listed on its ChiNext board to issue earnings guidance since 2012, this study uses a difference-in-differences (DID) methodology to examine the effect of earnings guidance on corporate innovation and further conducts cross-sectional analyzes from the information risk and monitoring demand perspectives. Moreover, the authors conduct path analysis to verify the possible channels through which corporate innovation is impeded by market pressure or improved through increased corporate transparency.

Findings

This study documents a positive relationship between earnings guidance and corporate innovation, as measured by the number of invention patents, indicating that the “corporate governance” hypothesis dominates in China. Cross-sectional analyzes show that this positive effect is more pronounced for firms subject to greater information risk and monitoring demand. Finally, the path analysis further confirms that earnings guidance improves innovation by increasing corporate transparency.

Practical implications

First, this study captures the bright side of mandatory earnings guidance and suggests that increasing the disclosure frequency can yield benefits for firms. Second, the findings imply that regulations, regardless of what they refer to, should be based on a country’s specific context.

Originality/value

First, this study provides evidence supporting the “corporate governance” argument based on the context of China and, thus contributes to the debate on earnings guidance. Second, this study enriches the literature on the economic consequences of earnings guidance. Third, the study extends research on the determinants of corporate innovation.

Details

Nankai Business Review International, vol. 12 no. 3
Type: Research Article
ISSN: 2040-8749

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Article
Publication date: 19 December 2022

Lamei He, Jianping Zha, Jianying Tang, Ting Tan and Qiao Yu

Tourism is a labor-intensive sector with extensive links to other industries and plays a vital role in creating employment. This study aims to propose a new framework to analyze…

405

Abstract

Purpose

Tourism is a labor-intensive sector with extensive links to other industries and plays a vital role in creating employment. This study aims to propose a new framework to analyze the intrinsic structure of the employment effects of tourism-related sectors and their drivers.

Design/methodology/approach

This study uses input–output and structural decomposition analysis (IO-SDA) to quantify the employment effects of tourism-related sectors and their driving mechanisms based on China’s I-O tables of 2002, 2007, 2012 and 2017.

Findings

The results show a declining trend in the intensity of direct or indirect employment effects in tourism-related sectors, indicating a decreasing number of jobs directly or indirectly required to create a unit of tourism output. Among tourism-related sectors, catering has the highest intensity of indirect employment effects over the study period. Catering stimulates the indirect employment of agriculture, forestry, animal husbandry, fishery and food and tobacco manufacturing. The decomposition analysis reveals that final demand is the largest contributor to the increase in tourism employment, while technological progress shifts from an employment-creation effect in 2002–2012 to an employment-destruction effect in 2012–2017.

Originality/value

This study proposes a new analytical framework to investigate the structural proportional relationship between the direct and indirect employment effects of various tourism-related sectors and their dynamic changes. Doing so, it provides valuable references for policymakers to promote tourism employment.

旅游相关部门就业效应的驱动因素:以中国为例

摘要

研究目的

旅游业是一个劳动密集型部门, 与其他国民经济部门有着广泛的联系, 这在创造就业方面发挥着重要作用。本研究旨在建立一个框架, 分析旅游相关部门就业效应的内在结构及其驱动因素。

研究设计

本研究基于中国2002年、2007年、2012年和2017年的投入产出表, 引入投入产出和结构分解分析(IO-SDA)法量化了旅游相关行业的就业效应及其变化的驱动机制。

研究结果

旅游相关部门的直接或间接就业强度呈下降趋势, 可见创造一个单位的旅游产出所需的直接或间接工作数量在减少。在旅游相关部门中, 餐饮部门在研究期内的间接就业效应强度最高, 主要带动了农、林、牧、渔业和食品及烟草制造业的间接就业。旅游就业效应变动的驱动因素中, 最终需求是旅游就业效应增加的最大贡献者, 技术效应从2002-2012年期间的就业创造效应转变为2012-2017年期间的就业破坏效应。

研究原创性

本研究建立了一个全新的分析框架, 可以揭示各个旅游相关部门的直接和间接就业效应之间的结构比例关系及其动态变化。对旅游就业效应的驱动因素分析可以为政策制定者提供针对性的建议, 以促进旅游就业。

Factores que impulsan los efectos del empleo en los sectores relacionados con el turismo: El caso de China continental

Resumen

Propósito

El turismo es un sector intensivo en mano de obra con amplios vínculos con otras industrias y desempeña un papel vital en la creación de empleo. Este estudio propone un nuevo marco para analizar la estructura intrínseca de los efectos en el empleo de los sectores relacionados con el turismo y sus impulsores.

Diseño/metodología/enfoque

Este estudio utiliza el análisis de entrada-salida (input-output) y de descomposición estructural (structural decomposition) (IO-SDA) para cuantificar los efectos sobre el empleo en los sectores relacionados con el turismo y sus mecanismos impulsores, basándose en las tablas input-output de China de 2002, 2007, 2012 y 2017.

Conclusiones

Los resultados muestran una tendencia a la baja en la intensidad de los efectos directos o indirectos del empleo en los sectores relacionados con el turismo, lo que indica un número cada vez menor de puestos de trabajo directos o indirectos necesarios para crear una unidad de producción turística. Entre los sectores relacionados con el turismo, la restauración tiene la mayor intensidad de efectos indirectos sobre el empleo durante el periodo de estudio. La restauración estimula el empleo indirecto de la agricultura, la silvicultura, la ganadería, la pesca y la fabricación de alimentos y tabaco. El análisis de descomposición revela que la demanda final es la que más contribuye al aumento del empleo turístico, mientras que el progreso tecnológico pasa de ser un efecto de creación de empleo en 2002-2012 a un efecto de destrucción de empleo en 2012-2017.

Originalidad/valor

Este estudio propone un nuevo marco analítico para investigar la relación estructural proporcional entre los efectos directos e indirectos del empleo de varios sectores relacionados con el turismo y sus cambios dinámicos. De este modo, proporciona valiosas referencias para que los responsables políticos promuevan el empleo en el sector turístico.

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Article
Publication date: 14 October 2024

Mahmoud Abdelaziz Ahmed Abdelaziz, Mohamed Ahmed Ghonim, Jiani Wu and Ahmed Masoud Ahmed Almandooh

The study aims to reveal the relative importance of each characteristic of a proactive prosumer and determine the role of each characteristic in improving technological innovation.

64

Abstract

Purpose

The study aims to reveal the relative importance of each characteristic of a proactive prosumer and determine the role of each characteristic in improving technological innovation.

Design/methodology/approach

Our data were collected via emails using a final sample of 280 technical managers from Egypt’s information technology (IT) firms who have some software development expertise. The data were analyzed using the iterative dichotomiser 3 (ID3) algorithm.

Findings

The results indicate that proactive prosumer characteristics (initiative and creativity) positively affect technological innovation. Furthermore, there is no technological innovation without initiative.

Research limitations/implications

This study uses ID3 decision tree analysis to analyze the role of proactive prosumers in technological innovation. It greatly advances the area by addressing the need for quantitative studies in administrative sciences. The study highlights initiative and creativity as essential innovation drivers, contributing to consumer and prosumption theories and the changing consumer-firm connection. The ID3 algorithm distinguishes the study from earlier statistical studies. The study’s limitations advise increasing prosumer literature, studying psychological aspects and comparing cultures. Use various algorithms and moderator and mediator factors to improve methodology. Technical managers' opinions must also be understood.

Originality/value

This research contributes to the existing knowledge base by examining the intricate relationship between proactive prosumers and technological innovation. It offers a novel approach by employing the ID3 decision tree algorithm within the administrative sciences, a domain that needs to be explored in prosumer research. By bridging the methodological gap, this study addresses the need for more quantitative investigations into prosumers in the management field. Furthermore, it pioneers the application of artificial intelligence techniques to analyze the prosumer phenomenon quantitatively. The paper concludes by outlining potential avenues for future research.

Details

The TQM Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1754-2731

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Article
Publication date: 7 September 2015

Jianying Wang, Kevin Z. Chen, Sunipa Das Gupta and Zuhui Huang

The farm size-productivity relationship has long been the subject of debate among development economists. Few studies address this issue for China, and those that do only with…

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Abstract

Purpose

The farm size-productivity relationship has long been the subject of debate among development economists. Few studies address this issue for China, and those that do only with outdated data sets poorly representing the current situation after the past decade of rapid change, which includes the rapid development of land rental markets, village labor out-migration and use of farm machines. Meanwhile, many studies have researched this relationship for Indian, which is undergoing similar changes except for the development of active land rental markets. The purpose of this paper is to measure the farm size-productivity relationship under the situations of rapid transformation in China and India.

Design/methodology/approach

Based on the data of 325 Jiangxi and 400 Allahabad rice farmers in 2011, the survey covered multiple plots of each household in one/multiple growing season(s). The authors use the production function approach and the yield approach, and control for farmland quality, imperfect factor markets, and farm size measurement error, to identify the farm size-productivity relationship.

Findings

The regressions show that land yields increase with plot size both by season and over the year in China. This may be one of the reasons that farm sizes are growing in some areas. In India, however, the inverse farm size-productivity relationship is observed by the study, despite recent changes. Moreover, land yields increase with farm machine use in both China and India. This result contributes to the debate over whether mechanization improves yields or just expands the land frontier.

Originality/value

The paper empirically estimates the farm size-productivity relationship under rapid agrarian transformation in both China and India based on a unique data set collected by the authors in a detailed primary survey. The paper considers measurement error in the analysis, which adds values to this type of analysis.

Details

China Agricultural Economic Review, vol. 7 no. 3
Type: Research Article
ISSN: 1756-137X

Keywords

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