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Article
Publication date: 20 August 2019

Kong Weicheng, Shen Hui, Gao Jiaxu, Wu Jie and Lu Yuling

This study aims to investigate the electrochemical corrosion performance of high velocity oxygen fuel (HVOF) sprayed WC–12Co coating in 3.5 Wt.% NaCl solution, which provided a…

182

Abstract

Purpose

This study aims to investigate the electrochemical corrosion performance of high velocity oxygen fuel (HVOF) sprayed WC–12Co coating in 3.5 Wt.% NaCl solution, which provided a guiding significance on the corrosion resistance of H13 hot work mould steel.

Design/methodology/approach

A WC–12Co coating was fabricated on H13 hot work mould steel using a HVOF, and the electrochemical corrosion behaviors of WC–12Co coating and substrate in 3.5 Wt.% NaCl solution was measured using open circuit potential (OCP), potentiodynamic polarization curve (PPC) and electrochemical impedance spectroscopy (EIS) tests.

Findings

The OCP and PPC of WC–12Co coating positively shift than those of substrate, its corrosion tendency and corrosion rate decrease to enhance its corrosion resistance. The curvature radius of capacitance curve on the WC–12Co coating is larger than that on the substrate, and the impedance and polarization resistance of WC–12Co coating increase faster than those of substrate, which reduces the corrosion process.

Originality/value

The electrochemical corrosion behaviors of WC–12Co coating and substrate in 3.5 Wt.% NaCl solution is first measured using OCP, PPC and EIS tests, which improve the electrochemical corrosion resistance of H13 hot work mould steel.

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Article
Publication date: 4 April 2016

Yang Lu, Shujuan Yi, Yurong Liu and Yuling Ji

This paper aims to design a multi-layer convolutional neural network (CNN) to solve biomimetic robot path planning problem.

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Abstract

Purpose

This paper aims to design a multi-layer convolutional neural network (CNN) to solve biomimetic robot path planning problem.

Design/methodology/approach

At first, the convolution kernel with different scales can be obtained by using the sparse auto encoder training algorithm; the parameter of the hidden layer is a series of convolutional kernel, and the authors use these kernels to extract first-layer features. Then, the authors get the second-layer features through the max-pooling operators, which improve the invariance of the features. Finally, the authors use fully connected layers of neural networks to accomplish the path planning task.

Findings

The NAO biomimetic robot respond quickly and correctly to the dynamic environment. The simulation experiments show that the deep neural network outperforms in dynamic and static environment than the conventional method.

Originality/value

A new method of deep learning based biomimetic robot path planning is proposed. The authors designed a multi-layer CNN which includes max-pooling layer and convolutional kernel. Then, the first and second layers features can be extracted by these kernels. Finally, the authors use the sparse auto encoder training algorithm to train the CNN so as to accomplish the path planning task of NAO robot.

Details

Assembly Automation, vol. 36 no. 2
Type: Research Article
ISSN: 0144-5154

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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…

269

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: 19 October 2023

Yuling Wei, Jhanghiz Syahrivar and Hanif Adinugroho Widyanto

As one of the most cutting-edge technologies in the digital age, facial enhancement technology (FET) has greatly enhanced consumer online shopping experience and brought new…

424

Abstract

Purpose

As one of the most cutting-edge technologies in the digital age, facial enhancement technology (FET) has greatly enhanced consumer online shopping experience and brought new e-commerce opportunities for cosmetics retailers. The purpose of this paper is to extend the unified theory of acceptance and use of technology (UTAUT) model in the context of FET. In addition to the concepts from the original model, the new FET-UTAUT model features (low) body esteem, social media addiction and FET adoption.

Design/methodology/approach

A purposive sampling of FET users in China via an online questionnaire yields 473 respondents. To analyze the data, this research uses the structural equation modeling method via statistical package for the social sciences and analysis of a moment structures software. A two-step approach, exploratory factor analysis and confirmatory factor analysis, was used to test the hypotheses and generate the findings.

Findings

Performance expectancy, effort expectancy, social influence, facilitating conditions and (low) body esteem have positive relationships with FET adoption. FET adoption has a positive relationship with online purchase intention of branded color cosmetics, and the empirical evidence for the moderating role of social media addiction in the relationship between FET adoption and online purchase intention is inconclusive.

Originality/value

This research extends the traditional UTAUT model by proposing a novel FET-UTAUT model that incorporates additional key concepts such as body esteem, FET adoption and social media addiction. Managerial implications of this research are provided for FET designers and branded color cosmetic retailers.

Details

Journal of Systems and Information Technology, vol. 25 no. 4
Type: Research Article
ISSN: 1328-7265

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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…

4563

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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Book part
Publication date: 1 January 2005

Naresh K. Malhotra, Betsy Rush Charles and Can Uslay

Abstract

Details

Review of Marketing Research
Type: Book
ISBN: 978-0-85724-723-0

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Article
Publication date: 3 October 2024

Yuling Wang, Martin Lockett and Abby Jingzi Zhou

This study explores the role of digitalization, especially mobile apps, in expatriate cross-cultural adjustment. The role of digitalization is under-researched and…

112

Abstract

Purpose

This study explores the role of digitalization, especially mobile apps, in expatriate cross-cultural adjustment. The role of digitalization is under-researched and under-recognized in the current literature on global mobility, but is becoming a significant factor in expatriate cross-cultural adjustment.

Design/methodology/approach

As the research is exploratory, it uses qualitative methods, specifically in-depth interviews and rigorous thematic analysis. It is based on 31 respondents from 16 higher education organizations across 10 cities in five provinces/municipalities in China, a country with one of the highest levels of digitalization in daily life.

Findings

The most significant finding is that mobile apps are central to expatriate cross-cultural adjustment in China. Such apps both enable adjustment if used actively and hinder adjustment significantly if resisted or not used effectively. However high motivation is required to cope with the incompatibility between the infrastructure of mobile apps in China and expatriates’ previous experiences.

Research limitations/implications

This study is based on expatriate academics in China, where digitalization is widespread and local apps rather than international apps are predominant. Hence expatriates may feel a greater impact of digitalization on daily life and work than in less digitalized societies. A major implication is that digitalization should be considered as a potentially significant factor in expatriate cross-cultural adjustment.

Practical implications

Host country governments, employers, app developers and expatriates, all need to consider the use of mobile apps in cross-cultural adjustment and retention of expatriates.

Originality/value

This study identifies the role of digitalization, especially mobile apps, in expatriate cross-cultural adjustment in a highly digitalized environment, which has not been recognized in previous research. It proposes the concept of “digital distance” that should be considered alongside “cultural distance” in the context of expatriate cross-cultural adjustment.

Details

Journal of Global Mobility: The Home of Expatriate Management Research, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2049-8799

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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…

178

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

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Article
Publication date: 6 August 2024

Bakr Bagash Mansour Ahmed Al-Sofi

This site-based study employed a sociolinguistic approach to investigate the linguistic landscape and multilingualism displayed on signs in Marib, a historical and tourist city in…

132

Abstract

Purpose

This site-based study employed a sociolinguistic approach to investigate the linguistic landscape and multilingualism displayed on signs in Marib, a historical and tourist city in Yemen. The study focused on the types and functions of these signs, as well as people's perceptions of the status quo of the linguistic landscape.

Design/methodology/approach

A mixed-methods approach was used to collect data. Signs in tourist areas were photographed, and subsequent semi-structured interviews were conducted with relevant individuals to achieve the study's objectives.

Findings

The results revealed that both multilingual and monolingual signs coexist, with multilingual signs being more prevalent. Multilingual signs, which were official (top-down), served informational and symbolic functions, while monolingual signs, which were informal (bottom-up), served purely informational purposes. Bilingual signs were not present at the research sites. Interviewees generally expressed their satisfaction with multilingualism, as both national (Arabic and Musnad) and international (English) languages coexisted. However, they highlighted a deficiency in the number of signs at the research sites.

Practical implications

This study suggested intensifying efforts to include more signs, augmented with QR codes, to convey an appealing image of the linguistic landscape and provide visitors with information about these sites. Exposing students to the linguistic landscape can significantly enhance their English learning.

Originality/value

This study contributes to existing literature by providing further insights into the linguistic landscape in tourist destinations in Marib city. It offers the local and global community a better understanding of why and how the linguistic landscape should be improved and presented more appropriately.

Details

Journal of Cultural Heritage Management and Sustainable Development, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2044-1266

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Article
Publication date: 27 August 2020

Kwasi Dartey-Baah, Samuel Howard Quartey and Angeline Adotey

This study aims to investigate the influence of transformational and transactional leadership styles and their related dimensions on safety citizenship behaviors (SCBs) in the…

797

Abstract

Purpose

This study aims to investigate the influence of transformational and transactional leadership styles and their related dimensions on safety citizenship behaviors (SCBs) in the power distribution sector (PDS) in Ghana.

Design/methodology/approach

As a cross-sectional survey approach, questionnaires were used to collect data from managers of power distribution centers. Valid questionnaires were retrieved from 197 managers across four power distribution centers. The hypotheses were tested using Pearson correlation analysis and standard multiple regression analysis.

Findings

The results revealed that both transformational and transactional leaders have a positive influence on SCBs. The results also showed that some of the dimensions of transformational and transactional leadership styles cannot strongly predict SCBs in the PDS.

Research limitations/implications

The study was limited by the use of cross-sectional data which did not allow the study to examine any changes in some of the constructs examined with time. The results are occupation-, industry- and country-specific.

Practical implications

Several management implications are discussed, such as managers recognizing that both leadership behaviors can be the basis for SCBs and for mitigating the socioeconomic consequences of unsafe employee behaviors.

Originality/value

The paper’s principal theoretical contribution is the application of social exchange theory toward an understanding of SCBs in a high-risk sector. Energy sector reforms in developing countries are inconceivable without safety consideration.

Details

International Journal of Energy Sector Management, vol. 15 no. 1
Type: Research Article
ISSN: 1750-6220

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