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Article
Publication date: 21 October 2024

Shan Liu, Guang Xu, Jie Zhong and Yuling Xu

Against the background of the digital economy, odd-job platforms rely on artificial intelligence algorithms to efficiently allocate tasks and monitor platform workers’…

114

Abstract

Purpose

Against the background of the digital economy, odd-job platforms rely on artificial intelligence algorithms to efficiently allocate tasks and monitor platform workers’ performance, putting these workers under enormous pressure. This paper explores the relationship between work overload and turnover intention of platform workers on odd-job platforms and the factors that lead to platform workers’ turnover.

Design/methodology/approach

Based on the job demands–resources model (JD-R), we construct a theoretical model to explain the relationship between work overload and turnover intention of platform workers. We test job burnout as a mediator variable and perceived algorithmic fairness and job autonomy as moderating variables. We conducted a study at food delivery platforms and ride-hailing platforms in China.

Findings

The empirical results show that: (1) work overload increases the turnover intention of platform workers by increasing job burnout and (2) perceived algorithmic fairness and job autonomy moderate the positive relationship between work overload and job burnout.

Originality/value

We provide a theoretical basis to explain the influence of work overload on turnover intention of odd-job platform workers and provide practical recommendations for management of platform workers.

Details

Baltic Journal of Management, vol. 19 no. 5
Type: Research Article
ISSN: 1746-5265

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Article
Publication date: 21 May 2020

Yongming Wu, Xudong Zhao, Yanxia Xu and Yuling Chen

The product family assembly line (PFAL) is a mixed model-assembly line, which is widely used in mass customization and intelligent manufacturing. The purpose of this paper is to…

217

Abstract

Purpose

The product family assembly line (PFAL) is a mixed model-assembly line, which is widely used in mass customization and intelligent manufacturing. The purpose of this paper is to study the problem of PFAL, a flexible (evolution) planning method to respond to product evolution for PFAL, to focus on product data analysis and evolution planning method.

Design/methodology/approach

The evolution balancing model for PFAL is established and an improved NSGA_II (INSGA_II) is proposed. From the perspective of data analysis, dynamic characteristics of PFAL are researched and analyzed. Especially the tasks, which stability is considered, can be divided into a platform and individual task. In INSGA_II algorithm, a new density selection and a decoding method based on sorting algorithms are proposed to compensate for the lack of traditional algorithms.

Findings

The effectiveness and feasibility of the method are validated by an example of PFAL evolution planning for a family of similar mechanical products. The optimized efficiency is significantly improved using INSGA_II proposed in this paper and the evolution planning model proposed has a stronger ability to respond to product evolution, which maximizes business performance over an effective period of time.

Originality/value

The assembly line designers and managers in discrete manufacturing companies can obtain an optimal solution for PFAL planning through the evolution planning model and INSGA-II proposed in this paper. Then, this planning model and optimization method have been successfully applied in the production of small wheel loaders.

Details

Assembly Automation, vol. 40 no. 4
Type: Research Article
ISSN: 0144-5154

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Article
Publication date: 7 August 2017

Wenliang Fan, Pengchao Yang, Yule Wang, Alfredo H.-S. Ang and Zhengliang Li

The purpose of this paper is to find an accurate, efficient and easy-to-implement point estimate method (PEM) for the statistical moments of random systems.

188

Abstract

Purpose

The purpose of this paper is to find an accurate, efficient and easy-to-implement point estimate method (PEM) for the statistical moments of random systems.

Design/methodology/approach

First, by the theoretical and numerical analysis, the approximate reference variables for the frequently used nine types of random variables are obtained; then by combining with the dimension-reduction method (DRM), a new method which consists of four sub-methods is proposed; and finally, several examples are investigated to verify the characteristics of the proposed method.

Findings

Two types of reference variables for the frequently used nine types of variables are proposed, and four sub-methods for estimating the moments of responses are presented by combining with the univariate and bivariate DRM.

Research limitations/implications

In this paper, the number of nodes of one-dimensional integrals is determined subjectively and empirically; therefore, determining the number of nodes rationally is still a challenge.

Originality/value

Through the linear transformation, the optimal reference variables of random variables are presented, and a PEM based on the linear transformation is proposed which is efficient and easy to implement. By the numerical method, the quasi-optimal reference variables are given, which is the basis of the proposed PEM based on the quasi-optimal reference variables, together with high efficiency and ease of implementation.

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Article
Publication date: 9 July 2024

Yuling Wei, Mirkó Gáti and Attila Endre Simay

Our research investigated how the perceived effectiveness of privacy, perceived privacy risk, and perceived security influenced consumers' behavioral intention to use mobile…

268

Abstract

Purpose

Our research investigated how the perceived effectiveness of privacy, perceived privacy risk, and perceived security influenced consumers' behavioral intention to use mobile payment applications during the COVID-19 pandemic.

Design/methodology/approach

We applied a quantitative method using a cross-sectional online survey conducted over three years. We collected a sample of 1,471 survey responses focused on ages 18–39. Using descriptive statistics, confirmatory factor analysis, and structural equation modeling, we tested our hypotheses with SPSS 27 and AMOS 27.

Findings

Results of the study indicate that the perceived effectiveness of privacy positively influences perceived privacy risk, perceived security, and behavioral intention. Moreover, perceived privacy risk has a positive effect on perceived security. We found no significant relationship between perceived privacy risk and behavioral intention, although perceived security has a positive effect on behavioral intention. Further mediation analyses showed that perceived privacy risk and perceived security mediate the relationship between the perceived effectiveness of privacy and behavioral intention.

Originality/value

This research sheds new light on the role of perceived privacy effectiveness in mobile payment adoption in Hungary, particularly during the COVID-19 pandemic. Our research also explains why and how perceived privacy effectiveness influences consumers' perceived privacy risk, perceived security, and behavioral intention.

Details

International Journal of Bank Marketing, vol. 42 no. 7
Type: Research Article
ISSN: 0265-2323

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Article
Publication date: 27 November 2018

Phuong D. Le, Hui Xun Teo, Augustine Pang, Yuling Li and Cai-Qin Goh

Scholars have discouraged using silence in crises as it magnifies the information vacuum (see Pang, 2013). The purpose of this paper is to argue for its viability and explore the…

2324

Abstract

Purpose

Scholars have discouraged using silence in crises as it magnifies the information vacuum (see Pang, 2013). The purpose of this paper is to argue for its viability and explore the type of silence that can be used.

Design/methodology/approach

Eight international cases were analyzed to examine how silence was adopted, sustained and broken.

Findings

The findings uncovered three intention-based typologies of strategic silence: delaying, avoiding and hiding silences. Among such, avoiding/hiding silence intensified crises and adversely affected post-silence organizational image when forcefully broken, while delaying silence helped preserve/restore image with primary stakeholders if successfully sustained and broken as planned.

Research limitations/implications

First, these findings may lack generalizability due to the limited number of cases studied. Second, local sentiments may not be fully represented in the English-language news examined as they may be written for a different audience. Finally, a number of cases studied were still ongoing at the time of writing, so the overall effectiveness of the strategy employed might be compromised as future events unfold.

Practical implications

A stage-based practical guide to adopting delaying silence is proposed as a supporting strategy before the execution of crisis response strategies.

Originality/value

This is one of the few studies to examine the role of silence in crisis communication as silence is not recognized as a type of response in dominant crisis theories – be it the situational crisis communication theory or the image repair theory (An and Cheng, 2010; Benoit, 2015; Benoit and Pang, 2008; Xu and Li, 2013).

Details

Corporate Communications: An International Journal, vol. 24 no. 1
Type: Research Article
ISSN: 1356-3289

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Article
Publication date: 1 September 2022

Attila Endre Simay, Yuling Wei, Tamás Gyulavári, Jhanghiz Syahrivar, Piotr Gaczek and Ágnes Hofmeister-Tóth

The recent advancements in smartphone technology and social media platforms have increased the popularity of artificial intelligence (AI) color cosmetics. Meanwhile, China is a…

4558

Abstract

Purpose

The recent advancements in smartphone technology and social media platforms have increased the popularity of artificial intelligence (AI) color cosmetics. Meanwhile, China is a lucrative market for various foreign beauty products and technological innovations. This research aims to investigate the adoption of AI color cosmetics applications and their electronic word-of-mouth (e-WOM) intention among Chinese social media influencers. Several key concepts have been proposed in this research, namely body esteem, price sensitivity, social media addiction and actual purchase.

Design/methodology/approach

An online questionnaire design was used in this research. A combination of purposive sampling and snowball sampling of AI color cosmetics users who are also social media influencers in China yields 221 respondents. To analyze the data, this research employs Structural Equation Modelling (SEM) method via SPSS and AMOS software. A 2-step approach, Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA), is implemented to prove the hypotheses and generate the results.

Findings

1) Social media addiction is a positive predictor of AI color cosmetics usage, (2) AI color cosmetics usage is a positive predictor of actual purchase, (3) actual purchase is a positive predictor of e-WOM intention and lastly, (4) there is a full mediation effect of actual purchase.

Originality/value

This research draws on the uses and gratification (U&G) theory to investigate how specific user characteristics affect Chinese social media influencers' adoption of AI color cosmetics, as well as how this may affect their decision to purchase branded color cosmetics and their e-WOM.

Details

Asia Pacific Journal of Marketing and Logistics, vol. 35 no. 7
Type: Research Article
ISSN: 1355-5855

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Article
Publication date: 18 September 2020

Han Ren, Charles Weizheng Chen, Jiuhua Cherrie Zhu and Yuling Chen

This paper aims to explore the extent to which unionized employees are dissatisfied in Chinese Enterprise Trade Unions (CETUs) when they perceive high levels of the triple-role…

277

Abstract

Purpose

This paper aims to explore the extent to which unionized employees are dissatisfied in Chinese Enterprise Trade Unions (CETUs) when they perceive high levels of the triple-role conflicts, as well as whether rights expectations will moderate these relationships. The authors define CETUs' triple-role conflicts as the extent to which CETUs and their cadres prioritize fulfilling the roles of preserving social stability (“peace”) and/or maintaining the production order (“production”) over protecting worker's rights and interests (“workers” rights).

Design/methodology/approach

Pilot study developed the scales via both qualitative and quantitative studies, which include item generation using the transcript of individual interviews with 36 informants, and exploratory factor analyses with 106 respondents. The study used a sample of 327 employees from more than 20 firms in North and Southwest China.

Findings

Results indicate high reliability and validity of the scales and provide largely consistent supports for our hypotheses: three dimensions of triple-role conflicts are negatively related to employees' satisfaction in CETUs, and rights expectations moderate these relationships.

Originality/value

This study developed three scales to respectively measure CETUs' triple-role conflicts, rights expectation and satisfaction in CETUs. More importantly, the findings shed light on the moderating mechanism of rights expectation in the relationships between triple-role conflicts and satisfaction in CETUs.

Details

Personnel Review, vol. 50 no. 2
Type: Research Article
ISSN: 0048-3486

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Article
Publication date: 13 March 2017

Xin Xu

Emitter parameter estimation via signal sorting is crucial for communication, electronic reconnaissance and radar intelligence analysis. However, due to problems of transmitter…

147

Abstract

Purpose

Emitter parameter estimation via signal sorting is crucial for communication, electronic reconnaissance and radar intelligence analysis. However, due to problems of transmitter circuit, environmental noises and certain unknown interference sources, the estimated emitter parameter measurements are still inaccurate and biased. As a result, it is indispensable to further refine the parameter values. Though the benchmark clustering algorithms are assumed to be capable of inferring the true parameter values by discovering cluster centers, the high computational and communication cost makes them difficult to adapt for distributed learning on massive measurement data. The paper aims to discuss these issues.

Design/methodology/approach

In this work, the author brings forward a distributed emitter parameter refinement method based on maximum likelihood. The author’s method is able to infer the underlying true parameter values from the huge measurement data efficiently in a distributed working mode.

Findings

Experimental results on a series of synthetic data indicate the effectiveness and efficiency of the author’s method when compared against the benchmark clustering methods.

Originality/value

With the refined parameter values, the complex stochastic parameter patterns could be discovered and the emitters could be identified by merging observations of consistent parameter values together. Actually, the author is in the process of applying her distributed parameter refinement method for PRI parameter pattern discovery and emitter identification. The superior performance ensures its wide application in both civil and military fields.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 10 no. 1
Type: Research Article
ISSN: 1756-378X

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Article
Publication date: 13 June 2024

Yuling Wei, Jhanghiz Syahrivar and Attila Endre Simay

Chatbots have been explored as a novel approach to enhancing consumer engagement by delivering more enjoyable, personalized services. This research aims to investigate the…

583

Abstract

Purpose

Chatbots have been explored as a novel approach to enhancing consumer engagement by delivering more enjoyable, personalized services. This research aims to investigate the mechanism through which anthropomorphic elements of chatbots influence consumers' intentions to use the technology.

Design/methodology/approach

This research introduces five key concepts framed through the “computers-are-social-actors” (CASA) paradigm: form realism (FR), behavioral realism (BR), cognitive trust (CT), entertainment (EM) and chatbot usage intention (CUI). An online questionnaire garnered 280 responses from China and 207 responses from Indonesia. Data collection employed a combination of purposive and snowball sampling techniques. This research utilized structural equation modeling through the analysis of moment structures (AMOS) 27 software to test the hypotheses.

Findings

(1) FR positively predicts CT and EM, (2) FR negatively predicts CUI, (3) BR positively predicts CT and EM, (4) BR positively predicts CUI and (5) Both CT and EM mediate the relationship between FR and CUI, as well as between BR and CUI.

Originality/value

This research enriches the current literature on interactive marketing by exploring how the anthropomorphic features of chatbots enhance consumers' intentions to use such technology. It pioneers the exploration of CT and EM as mediating factors in the relationship between chatbot anthropomorphism and consumer behavioral intention. Moreover, this research makes a methodological contribution by developing and validating new measurement scales for measuring chatbot anthropomorphic elements.

Details

Journal of Research in Interactive Marketing, vol. 19 no. 1
Type: Research Article
ISSN: 2040-7122

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Article
Publication date: 3 May 2022

Chong Li, Yuling Qu and Xinping Zhu

A novel asynchronous network-based model is proposed in this paper for the sentiment analysis of online public opinions. This new model provides a new approach to analyze the…

177

Abstract

Purpose

A novel asynchronous network-based model is proposed in this paper for the sentiment analysis of online public opinions. This new model provides a new approach to analyze the evolution characteristics of online public opinion sentiments in complex environment.

Design/methodology/approach

Firstly, a new sentiment analysis model is proposed based on the asynchronous network theory. Then the graphical evaluation and review technique is employed and extended to design the model-based sentiment analysis algorithms. Finally, simulations and real-world case studies are given to show the effectiveness of the proposed model.

Findings

The dynamics of online public opinion sentiments are determined by both personal preferences to certain topics and the complex interactive influences of environmental factors. The application of appropriate quantitative models can improve the prediction of public opinion sentiment.

Practical implications

The proposed model-based algorithms provide simple but effective ways to explore the complex dynamics of online public opinions. Case studies highlight the role of government agencies in shaping sentiments of public opinions on social topics.

Originality/value

This paper proposes a new asynchronous network model for the dynamic sentiment analysis of online public opinions. It extends the previous static models and provides a new way to extract opinion evolution patterns in complex environment. Applications of the proposed model provide some new insights into the online public opinion management.

Details

Kybernetes, vol. 52 no. 10
Type: Research Article
ISSN: 0368-492X

Keywords

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