Wenfang Lin, Yifeng Wang, Georges Samara and Jintao Lu
The sustainable development of the platform economy has been hindered by the absence and alienation of platform corporate social responsibility. Previous studies have mainly…
Abstract
Purpose
The sustainable development of the platform economy has been hindered by the absence and alienation of platform corporate social responsibility. Previous studies have mainly focused on the contents and governance models for platform corporate social responsibility. This study seeks to explore which strategy participants choose in the governance of platform corporate social responsibility and their influencing factors.
Design/methodology/approach
Using a platform ecosystem approach, a quadrilateral evolutionary game model was developed, and the stabilities of subjects’ behavioral strategies and their combinations in various scenarios were analyzed. Additionally, the effects of key parameters on the system’s evolutionary path were simulated.
Findings
The ideal steady state system is achieved when platform enterprises, complementors and consumers adopt positive strategies while the government adopts lax regulation. Moreover, the evolutionary strategies of the subjects are influenced by several factors, including the participation costs of governance, the rewards and punishments imposed by platform enterprises, as well as the reputational losses of platform enterprises and complementors due to media coverage.
Practical implications
This study offers insights into improving the governance effectiveness of platform corporate social responsibility for managers and practitioners.
Originality/value
This study contributes to existing literature by considering the rational orientation of platform ecosystem members and revealing the interaction mechanisms among members. Furthermore, this study combines collective action theory and reputation theory to clarify the influencing factors on members’ behaviors.
Details
Keywords
Jintao Xu, Yu Fang, Weiwei Gao, Xintian Liu, Juanjuan Shi and Hao Yang
The purpose of this study is to address the low localization accuracy and frequent tracking failures of traditional visual SLAM methods in low-light and weak-texture situations…
Abstract
Purpose
The purpose of this study is to address the low localization accuracy and frequent tracking failures of traditional visual SLAM methods in low-light and weak-texture situations, and we propose a mobile robot visual-inertial localization method based on the improved point-line features VINS-mono algorithm.
Design/methodology/approach
First, the line feature information is introduced into VINS-mono. Subsequently, the EDlines line feature extraction algorithm is optimized with a short line merging strategy and a dynamic length suppression strategy to reduce redundant short lines and fragmented segments. In the back-end sliding window optimization, line feature reprojection errors are incorporated, and Huber kernel functions are added to the inertial measurement unit residuals, point-line feature residuals and loop closure constraints to reduce the impact of outliers on the optimization results.
Findings
Comparison and verification experiments are carried out on the EuRoC MAV Data set and real weakly textured environment. In the real low-light and weak-texture scenarios, the improved mobile robot localization system achieves over 40% higher accuracy compared to VINS-mono.
Originality/value
The main contribution of this study is to propose a new visual-inertial SLAM method combining point-line features, which can achieve good localization effect in low-light and weak-texture scenes, with higher accuracy and robustness.
Details
Keywords
Abstract
Purpose
This study aims to explore work–life integration (WLI) as a crucial mechanism underpinning the transformation of the hospitality and tourism industry from shifts in work paradigms, including rapid technological advancements, flexible work forms, quiet quitting, increasing awareness of well-being, cultural diversity and gender disparity. It further develops the coping strategies and research agenda.
Design/methodology/approach
Through the bridged lens of the work–life boundary theory and conservation of resources theory, this research critically analyzes the literature on emerging work paradigms and WLI and develops a conceptual framework guiding the systematic examination of the WLI mechanisms underpinning the influence from work paradigm shifts.
Findings
The analysis reveals the underpinning mechanisms in managing WLI, highlighting the importance of systematic and customized work–life management strategies in adapting to evolving work paradigms. An integrated conceptual framework is developed to guide future research and practical applications.
Practical implications
This study underscores the critical need for strategic WLI management, emphasizing its importance for sustainable industry development. It also proposes actionable work–life management strategies for stakeholders, aiming for positive outcomes at personal, organizational and industrial levels amid the paradigm shifts.
Originality/value
The comprehensive conceptual framework uniquely bridged two theories that afford a novel, interconnected and in-depth approach to analyzing how work paradigm shifts reshape the industry. It further broadens the research agenda on WLI, with promising research directions proposed for advancing the understanding of the ever-evolving hospitality and tourism work landscapes.
Details
Keywords
Peng Zhou, Zikun Chen, Duo Wang, Baoxing Yu, Chunyan Zhang, Tao Zhang, Jintao Xiao, Jingli Sun, Xiaoxue Wang, Yong Yuan and Fuhui Wang
The purpose of this paper was to compare the electrochemical homogeneity of AZ91D after various heat treatment processes, and its influence on the growth, composition…
Abstract
Purpose
The purpose of this paper was to compare the electrochemical homogeneity of AZ91D after various heat treatment processes, and its influence on the growth, composition, microstructure and corrosion resistance of phosphate conversion coatings.
Design/methodology/approach
The electrochemical activity of different heat-treated Mg alloys was evaluated via scanning vibrational electrode technique; the characterization of the microstructure and phase composition of coatings was conducted using a scanning electron microscope and X-ray diffraction. The corrosion resistance was evaluated by electrochemical tests and accelerated neutral salt spray tests.
Findings
T6 treatment increased the electrochemical homogeneity, while T4 treatment decreased the microstructure homogeneity of AZ91D magnesium alloy, due to the existence of residual Al-Mn impurity phase. The phosphate conversion coating (PCC) on T6 heat-treated Mg alloys showed the most compact microstructure and the best corrosion resistance, while the coating on the T4 heat-treated Mg alloy exhibited the worst microstructure and corrosion resistance.
Originality/value
The microstructure and protectiveness of coatings are related to the homogeneousness of Mg alloy: an Mg substrate with a more heterogeneous electrochemical reactivity yields a PCC with less protectiveness, which could be explained by the difference of precipitation kinetics at the metal/electrolyte interface.
Details
Keywords
This study aims to assess the enduring lack of citizenship for rural migrants coming to cities to work, and the extent to which there has been any progress in altering their…
Abstract
Purpose
This study aims to assess the enduring lack of citizenship for rural migrants coming to cities to work, and the extent to which there has been any progress in altering their status in past decades.
Design/methodology/approach
This study uses a narrative approach, relying on documentary sources. It takes a chronological approach in evaluating signs of progress but mainly tells a story of long-term continuity in the treatment of outsiders – even though they are from their own country – by urban officials and citizens.
Findings
The main finding is that the management of rural migrants in China’s cities has not fundamentally improved in the 40-plus years since they were released from the communes and permitted to come to cities to work. This is despite various pronouncements of change, most of which mattered little, if at all, in the implementation.
Originality/value
This study applies the concept of “citizenship” to what has been done and, mostly not done, for migrants over the past decades.
Details
Keywords
Guanghui Ye, Songye Li, Lanqi Wu, Jinyu Wei, Chuan Wu, Yujie Wang, Jiarong Li, Bo Liang and Shuyan Liu
Community question answering (CQA) platforms play a significant role in knowledge dissemination and information retrieval. Expert recommendation can assist users by helping them…
Abstract
Purpose
Community question answering (CQA) platforms play a significant role in knowledge dissemination and information retrieval. Expert recommendation can assist users by helping them find valuable answers efficiently. Existing works mainly use content and user behavioural features for expert recommendation, and fail to effectively leverage the correlation across multi-dimensional features.
Design/methodology/approach
To address the above issue, this work proposes a multi-dimensional feature fusion-based method for expert recommendation, aiming to integrate features of question–answerer pairs from three dimensions, including network features, content features and user behaviour features. Specifically, network features are extracted by first learning user and tag representations using network representation learning methods and then calculating questioner–answerer similarities and answerer–tag similarities. Secondly, content features are extracted from textual contents of questions and answerer generated contents using text representation models. Thirdly, user behaviour features are extracted from user actions observed in CQA platforms, such as following and likes. Finally, given a question–answerer pair, the three dimensional features are fused and used to predict the probability of the candidate expert answering the given question.
Findings
The proposed method is evaluated on a data set collected from a publicly available CQA platform. Results show that the proposed method is effective compared with baseline methods. Ablation study shows that network features is the most important dimensional features among all three dimensional features.
Practical implications
This work identifies three dimensional features for expert recommendation in CQA platforms and conducts a comprehensive investigation into the importance of features for the performance of expert recommendation. The results suggest that network features are the most important features among three-dimensional features, which indicates that the performance of expert recommendation in CQA platforms is likely to get improved by further mining network features using advanced techniques, such as graph neural networks. One broader implication is that it is always important to include multi-dimensional features for expert recommendation and conduct systematic investigation to identify the most important features for finding directions for improvement.
Originality/value
This work proposes three-dimensional features given that existing works mostly focus on one or two-dimensional features and demonstrate the effectiveness of the newly proposed features.