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Article
Publication date: 24 August 2022

Yi Jiang, Ting Wang, Shiliang Shao and Lebing Wang

In large-scale environments and unstructured scenarios, the accuracy and robustness of traditional light detection and ranging (LiDAR) simultaneous localization and…

Abstract

Purpose

In large-scale environments and unstructured scenarios, the accuracy and robustness of traditional light detection and ranging (LiDAR) simultaneous localization and mapping (SLAM) algorithms are reduced, and the algorithms might even be completely ineffective. To overcome these problems, this study aims to propose a 3D LiDAR SLAM method for ground-based mobile robots, which uses a 3D LiDAR fusion inertial measurement unit (IMU) to establish an environment map and realize real-time localization.

Design/methodology/approach

First, we use a normal distributions transform (NDT) algorithm based on a local map with a corresponding motion prediction model for point cloud registration in the front-end. Next, point cloud features are tightly coupled with IMU angle constraints, ground constraints and gravity constraints for graph-based optimization in the back-end. Subsequently, the cumulative error is reduced by adding loop closure detection.

Findings

The algorithm is tested using a public data set containing indoor and outdoor scenarios. The results confirm that the proposed algorithm has high accuracy and robustness.

Originality/value

To improve the accuracy and robustness of SLAM, this method proposed in the paper introduced the NDT algorithm in the front-end and designed ground constraints and gravity constraints in the back-end. The proposed method has a satisfactory performance when applied to ground-based mobile robots in complex environments experiments.

Details

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

Keywords

Article
Publication date: 14 October 2021

Zhen Zhu, Shuaifu Lin, Yi Jiang and Qi Liu

The purpose of this paper is to investigate the consequences of two strategies of coordinating the online procurement capability and the online channel management…

Abstract

Purpose

The purpose of this paper is to investigate the consequences of two strategies of coordinating the online procurement capability and the online channel management capability on competitive performance.

Design/methodology/approach

A research model is presented to examine the performance impacts of these two coordination strategies, namely the balancing strategy (achieving a close match relationship) and the complementing strategy (maintaining the synergy effect), and tested using firm-level data collected from 196 manufacturing firms in China. Garen's two-stage econometric technique was used to identify the impacts of two coordination strategies on competitive performance.

Findings

Our study discusses and compares two different coordination strategies of mitigating the operational tensions across processes and deploying resource configurations for improving competitive performance. Our results show that while the balancing strategy can mitigate the risks resulted, the complementing strategy does not create synergistic effects on the focal firms' competitive performance.

Originality/value

The results extend our understanding of the nature of B2B digital process coordination both in IS management and supply chain operations.

Details

Journal of Enterprise Information Management, vol. 35 no. 3
Type: Research Article
ISSN: 1741-0398

Keywords

Article
Publication date: 12 April 2019

Ahsan Habib and Hedy Jiaying Huang

Although a substantial body of literature investigates the determinants of audit report lag (ARL), scant empirical evidence exists on the consequences of ARL. The purpose…

Abstract

Purpose

Although a substantial body of literature investigates the determinants of audit report lag (ARL), scant empirical evidence exists on the consequences of ARL. The purpose of this paper is to examine the association between abnormally long ARL and future stock price crash risk.

Design/methodology/approach

This quantitative study employed a large scale (14,445 firm-year observations) of annual financials, audit and ownership information for the Chinese listed companies during 2002–2013 which were retrieved from the China Stock Market and Accounting Research database.

Findings

This study finds evidence that abnormally long ARL increases the risk of a future stock price crash. Furthermore, the study finds that this adverse consequence is more pronounced for firms with a poor internal control environment.

Practical implications

Recently literature started to explore the consequences of abnormal ARL such as going concern audit opinion and restatements in the subsequent periods. This paper reveals that abnormal ARL has consequences for investor wealth losses as well. This is relevant in China, where the ongoing economic growth has attracted, and will continue to attract, a growing body of domestic and international investors. Understanding what factors could expose investors to wealth losses is of paramount importance for allocating their scarce capital.

Originality/value

This study extends the scant literature on the consequences of ARL, and provides useful insights for the Chinese regulatory authorities when considering the appropriateness of the current filing deadline for listed firms.

Details

International Journal of Managerial Finance, vol. 15 no. 4
Type: Research Article
ISSN: 1743-9132

Keywords

Article
Publication date: 10 December 2019

Yanru Zhong, Chaohao Jiang, Yuchu Qin, Guoyu Yang, Meifa Huang and Xiaonan Luo

The purpose of this paper is to present and develop an ontology-based approach for automatic generation of assembly sequences.

Abstract

Purpose

The purpose of this paper is to present and develop an ontology-based approach for automatic generation of assembly sequences.

Design/methodology/approach

In this approach, an assembly sequence planning ontology is constructed to represent the structure and interrelationship of product geometry information and assembly process information. In the constructed ontology, certain reasoning rules are defined to describe the knowledge and experience. Based on the ontology with reasoning rules, the algorithm for automatically generating assembly sequences is designed and implemented.

Findings

The effectiveness of this approach is verified via applying it to generate the assembly sequences of a gear reducer.

Originality/value

The main contribution of the paper is presenting and developing an ontology-based approach for automatically generating assembly sequences. This approach can provide a feasible solution for the issue that mathematics-based assembly sequence generation approaches have great difficulty in explicitly representing assembly experience and knowledge.

Details

Assembly Automation, vol. 40 no. 2
Type: Research Article
ISSN: 0144-5154

Keywords

Article
Publication date: 7 September 2015

Caiquan Bai, Yiqing He, Decai Zhou, Yi Zhang and Zhengyi Jiang

The paper aims to know about energy condition’s impacts on inflation comprehensively.

Abstract

Purpose

The paper aims to know about energy condition’s impacts on inflation comprehensively.

Design/methodology/approach

This paper constructs China’s energy condition index (ECI) by bringing in three variables (China’s energy price, consumption and production) based on the financial condition index.

Findings

The result of empirical analysis shows that the index can predict China’s inflation well.

Originality/value

China’s ECI can predict China’s inflation well.

Details

International Journal of Energy Sector Management, vol. 9 no. 3
Type: Research Article
ISSN: 1750-6220

Keywords

Article
Publication date: 12 January 2015

Yilei Zhang and Yi Jiang

The purpose of this paper is to examine CEO wealth changes around seasoned equity offerings (SEOs) to explore the shareholder-manager incentive alignment in major…

Abstract

Purpose

The purpose of this paper is to examine CEO wealth changes around seasoned equity offerings (SEOs) to explore the shareholder-manager incentive alignment in major corporate equity financing decisions.

Design/methodology/approach

The authors decompose CEO wealth into three major components: price effect, board compensation grant, and CEO’s own portfolio adjustment. The authors then compare SEO-event sample vs non-event samples; and evaluate the dynamic and long-run CEO wealth effect.

Findings

The authors find when market reacts negatively to SEO announcement leading to losses in CEO’s existing firm-related wealth, CEO gets additional grants to offset the losses. Although this appears to be a rent-seeking activity, the authors find that the additional grants are mainly in the form of stock options which would have no value if stock price failed to pick up in the future. In this sense, the additional grants align the interests between shareholders and managers. Consistent with this argument, the authors show that the additional grants motivate CEOs to promote the stock performance, benefiting themselves as well as shareholders in the long-run.

Originality/value

The study explicitly calculates the contribution of each wealth component to CEO total wealth effect. The results improve the understanding of CEO compensation policy change after major corporate event and contribute to the literature of the optimality explanation of prevailing compensation policy.

Details

Managerial Finance, vol. 41 no. 1
Type: Research Article
ISSN: 0307-4358

Keywords

Article
Publication date: 28 January 2014

Yi Jiang and Jing Zhao

IT-based supply chain performance is co-created through inter-organizational business processes. This research is motivated to explore how business value of IT in supply…

1795

Abstract

Purpose

IT-based supply chain performance is co-created through inter-organizational business processes. This research is motivated to explore how business value of IT in supply chain is co-created in downstream process and probe into the possible complementary effect of relational resources from retailers and customers during the cooperative process. The paper aims to discuss these issues.

Design/methodology/approach

A model is proposed to conceptualize the process with three dimensions and six constructs, which emerges a causal link between organization resources application, e-supply chain capability (ESCC) and process performance. And then the research model was validated using partial least squares with data collected from 128 manufacturing firms in China.

Findings

The results provide broad support for the following: the casual relationship among inter-organizational resources interaction, ESCC and process performance; the mediating role of ESCC in the e-CRM process is more significant than that in e-ordering process; and there is the moderating effect between relational resources and internal resources in e-CRM process.

Practical implications

It offers guidelines for managers to plan the roles played by resource, capabilities and performance for e-supply chain success in multi-firm environments.

Originality/value

This study provides a novel perspective and offers important implications for e-supply chain research and practice, by exploring intermediate factors and shedding light on the process of co-creating business value of IT in supply chain.

Details

Industrial Management & Data Systems, vol. 114 no. 1
Type: Research Article
ISSN: 0263-5577

Keywords

Article
Publication date: 15 June 2010

Jiang Guo, Yajin Liu, Xianglian Xu and Qijuan Chen

The purpose of this paper is to obtain the characteristic parameters of dynamic trend for hydro turbine governors, and take these as the inputs of the neural network to…

Abstract

Purpose

The purpose of this paper is to obtain the characteristic parameters of dynamic trend for hydro turbine governors, and take these as the inputs of the neural network to realize the diagnosis of the system.

Design/methodology/approach

Computer simulation technique has become an important tool in the science research and development. Because of the different degree defaults of the traditional modeling method, a distributed bond graph modeling (BGD) method is presented in this paper. Fault diagnosis and identification have been widely developed in recent years, while many kinds of diagnosis methods have been used in this area. Since it is difficult to get the characteristic parameters of dynamic trend, a new methodology is proposed which integrates BGD and neural network. It gets the characteristic parameters by simulation to the system, and takes these as the inputs of the neural network to realize the diagnosis of the system.

Findings

The paper presents the need for application of two models – conventional procedure and bond graph model approaches.

Practical implications

The paper is a very useful diagnosis tool for operators.

Originality/value

A new methodology is proposed which integrates BGD and neural network. The paper is aimed at operational researches and engineers, the results from simulations are reported and commented in the paper.

Details

Kybernetes, vol. 39 no. 6
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 23 September 2019

Ying Li, Ke Yang, Jin Chen, Sumeet Gupta and Feiyang Ning

Drawing upon the Elaboration Likelihood Model, the purpose of this paper is to examine how the characteristics of social media moderate the effect of a firm’s apology on…

1575

Abstract

Purpose

Drawing upon the Elaboration Likelihood Model, the purpose of this paper is to examine how the characteristics of social media moderate the effect of a firm’s apology on the attitude of its customers.

Design/methodology/approach

An online experiment including 360 active users of internet was employed to test the research model.

Findings

Results revealed that an after-crisis apology and firm reputation both have a positive effect on after-crisis user attitude toward the firm. Furthermore, the positive effect of apology becomes stronger as online media interactivity increases, whereas the positive effect of reputation becomes weaker.

Research limitations/implications

This study included only one important characteristic of social media, and experimental scenarios were limited to car recall crisis. Considering that social media has so many platforms that may have different kinds of interactivity, further studies can be conducted to figure out the most suitable social media for firms to deal with an online crisis.

Practical implications

The results inform managers of the importance of after-crisis apology and firm reputation. It is worthwhile for managers to find out the levels of online media interactivity at which users focus on apology and reputation and accordingly conduct an effective online crisis management response strategy.

Originality/value

This study extends the literature on online crisis management and the literature on ELM by highlighting the role of online media interactivity in influencing the persuasive effectiveness of firm’s crisis response in the context of social media.

Details

Information Technology & People, vol. 32 no. 4
Type: Research Article
ISSN: 0959-3845

Keywords

Article
Publication date: 16 July 2021

Yaxi Liu, Chunxiu Qin, Xubu Ma and Huigang Liang

Serendipitous information discovery has become a unique and important approach to discovering and obtaining information, which has aroused a growing interest for…

711

Abstract

Purpose

Serendipitous information discovery has become a unique and important approach to discovering and obtaining information, which has aroused a growing interest for serendipity in human information behavior. Despite numerous publications, few have systematically provided an overview of current state of serendipity research. Consequently, researchers and practitioners are less able to make effective use of existing achievements, which limits them from making advancements in this domain. Against this backdrop, we performed a systematic literature review to explore the world of serendipity and to recapitulate the current states of different research topics.

Design/methodology/approach

Guided by a prior designed review protocol, this paper conducted both automatic and manual search for available studies published from January 1990 to December 2020 on seven databases. A total of 207 serendipity studies closely related to human information behavior form the literature pool.

Findings

We provide an overview of distinct aspects of serendipity, that is research topics, potential benefits, related concepts, theoretical models, contextual factors and data collection methods. Based on these findings, this review reveals limitations and gaps in the current serendipity research and proposes an agenda for future research directions.

Originality/value

By analyzing current serendipity research, developing a knowledge framework and providing a research agenda, this review is of significance for researchers who want to find new research questions or re-align current work, for beginners who need to quickly understand serendipity, and for practitioners who seek to cultivate serendipity in information environments.

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