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Article
Publication date: 25 June 2014

Xiaolong Xue, Ruixue Zhang, Rebecca Yang and Jason Dai

The construction industry has been recognized for its conservatism and lack of innovation. In order to improve the success rate of construction innovation, the…

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Abstract

The construction industry has been recognized for its conservatism and lack of innovation. In order to improve the success rate of construction innovation, the implementation of innovations within the context of construction has been discussed and developed. Literature in this area focuses extensively on construction innovation, and yet does not contain a systematic review. This paper looks to fill this gap by providing a systematic review of construction innovation. The review synthesizes the conclusions and shows the implementation of construction innovation. Collaboration, culture, innovation process, and drivers are identified as critical factors to improve the performance of construction innovation. Finally, the limitations of prior studies in construction innovation are discussed and recommendations made for areas of future study.

Details

International Journal of Innovation Science, vol. 6 no. 2
Type: Research Article
ISSN: 1757-2223

Keywords

Article
Publication date: 3 November 2022

Yaqi Liu, Shuzhen Fang, Lingyu Wang, Chong Huan and Ruixue Wang

In recent years, personalized recommendations have facilitated easy access to users' personal information and historical interactions, thereby improving recommendation…

Abstract

Purpose

In recent years, personalized recommendations have facilitated easy access to users' personal information and historical interactions, thereby improving recommendation effectiveness. However, due to privacy risk concerns, it is essential to balance the accuracy of personalized recommendations with privacy protection. Accordingly, this paper aims to propose a neural graph collaborative filtering personalized recommendation framework based on federated transfer learning (FTL-NGCF), which achieves high-quality personalized recommendations with privacy protection.

Design/methodology/approach

FTL-NGCF uses a third-party server to coordinate local users to train the graph neural networks (GNN) model. Each user client integrates user–item interactions into the embedding and uploads the model parameters to a server. To prevent attacks during communication and thus promote privacy preservation, the authors introduce homomorphic encryption to ensure secure model aggregation between clients and the server.

Findings

Experiments on three real data sets (Gowalla, Yelp2018, Amazon-Book) show that FTL-NGCF improves the recommendation performance in terms of recall and NDCG, based on the increased consideration of privacy protection relative to original federated learning methods.

Originality/value

To the best of the authors’ knowledge, no previous research has considered federated transfer learning framework for GNN-based recommendation. It can be extended to other recommended applications while maintaining privacy protection.

Article
Publication date: 6 June 2022

Yating Wang, Mingjian Zhou, Hong Zhu and Xuehua Wu

This paper aims to explore the mechanism underlying the relationship between abusive supervision differentiation (ASD) and team performance. The moderating roles of…

Abstract

Purpose

This paper aims to explore the mechanism underlying the relationship between abusive supervision differentiation (ASD) and team performance. The moderating roles of inter-team and intra-team competitive climate are also examined.

Design/methodology/approach

This research collects data from 419 employees and 71 supervisors from hospitals and financial companies in China. Techniques include descriptive statistics and hierarchical multiple regression are applied to analyze the data.

Findings

This research finds that (1) team relationship conflict mediated the relationship between ASD and team performance and (2) intra-team competitive climate strengthened the indirect relationship between ASD and team performance through team relationship conflict.

Practical implications

The results indicate that organizations should take measures to minimize the occurrence of abusive supervision. Team leaders should increase self-control and avoid abusing employees. Furthermore, organizations should establish an open and fair reward and punishment system to avoid cutthroat competition.

Originality/value

This study advances our knowledge of how ASD results in poor team effectiveness. This contributes to the literature by identifying team relationship conflict as a mediating mechanism linking the negative association of ASD with team performance. Additionally, competitive climate enriches the individual-focused team-level model of abusive supervision.

Details

Personnel Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0048-3486

Keywords

Article
Publication date: 19 March 2021

Honggang Wang, Ruixue Yu, Ruoyu Pan, Mengyuan Liu, Qiongdan Huang and Jingfeng Yang

In manufacturing environments, mobile radio frequency identification (RFID) robots need to quickly identify and collect various types of passive tag and active tag sensor…

Abstract

Purpose

In manufacturing environments, mobile radio frequency identification (RFID) robots need to quickly identify and collect various types of passive tag and active tag sensor data. The purpose of this paper is to design a robot system compatible with ultra high frequency (UHF) band passive and active RFID applications and to propose a new anti-collision protocol to improve identification efficiency for active tag data collection.

Design/methodology/approach

A new UHF RFID robot system based on a cloud platform is designed and verified. For the active RFID system, a grouping reservation–based anti-collision algorithm is proposed in which an inventory round is divided into reservation period and polling period. The reservation period is divided into multiple sub-slots. Grouped tags complete sub-slot by randomly transmitting a short reservation frame. Then, in the polling period, the reader accesses each tag by polling. When tags’ reply collision occurs, the reader tries to re-query collided tags once, and the pre-reply tags avoid collisions through random back-off and channel activity detection.

Findings

The proposed algorithm achieves a maximum theoretical system throughput of about 0.94, and very few tag data frame transmissions overhead. The capture effect and channel activity detection in physical layer can effectively improve system throughput and reduce tag data transmission.

Originality/value

In this paper, the authors design and verify the UHF band passive and active hybrid RFID robot architecture based on cloud collaboration. And, the proposed anti-collision algorithm would improve active tag data collection speed and reduce tag transmission overhead in complex manufacturing environments.

Details

Assembly Automation, vol. 41 no. 3
Type: Research Article
ISSN: 0144-5154

Keywords

Article
Publication date: 14 October 2021

Shawn H. Charles, Alice Chang-Richards and (Kenneth) Tak Wing Yiu

The purpose of this study is to elicit the success factors from empirical evidence, as construction industry requires an improved understanding of factors for managing…

Abstract

Purpose

The purpose of this study is to elicit the success factors from empirical evidence, as construction industry requires an improved understanding of factors for managing projects to positive outcomes. Increased stakeholder involvement, including the new technologies, achieving sustainability and safeguarding health and safety, whilst at the same time facing uncertainties, it is crucial to examine whether there are new factors that drive construction projects to succeed, especially from a value-driven perspective.

Design/methodology/approach

Using a systematic review approach, this research reviewed 172 studies published after 2004. When compared to a comprehensive project success factor framework presented by Chan et al. in 2004, 19 factors are considered new since 2004.

Findings

Though several scholarly outputs highlighted significant improvements to project operations and innovations in equipment and techniques, there has not been a comprehensive oversight since Chan’s et al. (2004) conceptual framework. This paper investigates 16 years of industry changes and identified two new success factors categories (innovation and sustainability) and 19 new factors that add to Chan’s et al. (2004) study. Consequently, a new framework of factors affecting project success was developed.

Originality/value

This paper was very specific in its attempt to find the new and additional success factors for managing construction projects. A new conceptual framework, which includes the newly identified factors, was then developed that will create a greater awareness of stakeholders’ concerns and ultimately contribute to significant improvement in developing project objectives and defining success measures.

Details

Construction Innovation , vol. 22 no. 4
Type: Research Article
ISSN: 1471-4175

Keywords

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