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Open Access
Article
Publication date: 17 October 2022

Benjiang Lu, Ding Wu and Ruijing Zhao

Gifting is a typical monetization strategy for live streaming platforms to motivate providers’ live content contribution. However, research regarding the factors that affect…

2436

Abstract

Purpose

Gifting is a typical monetization strategy for live streaming platforms to motivate providers’ live content contribution. However, research regarding the factors that affect individuals’ gifting intention is still at an infant stage. Therefore, this study aims to investigate the factors that affect individuals’ gifting intention during live streaming.

Design/methodology/approach

The authors build a model to uncover the factors that affect individuals’ gifting intention from a streamer–content perspective, and the hypotheses are largely validated by online survey data through structural equation model analysis.

Findings

Individuals’ perceived attractiveness of the streamers is significantly and positively associated with gifting intention for leisure-related live streaming, whereas individuals’ perceived similarity with the streamers is significantly and positively associated with gifting intention for leisure-related and non-leisure-related live streaming. For live content-related factors, the individuals’ perceived utilitarian value of content is significantly and positively associated with gifting intention for non-leisure-related live streaming, whereas the individuals’ perceived hedonic value is significantly positively associated with gifting intention for leisure-related live streaming. Perceived symbolic value is insignificantly associated with gifting intention for neither type of live streaming.

Originality/value

The research is an original work and significantly contributes to live streaming and PWYW literature, and the findings derived from this study can guide live streaming platforms to regulate individuals’ gifting intentions/behaviors better.

Details

Journal of Electronic Business & Digital Economics, vol. 1 no. 1/2
Type: Research Article
ISSN: 2754-4214

Keywords

Open Access
Article
Publication date: 16 June 2021

Trisninik Ratih Wulandari and Doddy Setiawan

This study aims to examine the effect of ownership concentration and foreign ownership on tunneling activities in Indonesia.

2285

Abstract

Purpose

This study aims to examine the effect of ownership concentration and foreign ownership on tunneling activities in Indonesia.

Design/methodology/approach

The population in this study were manufacturing companies listed on the Indonesian Stock Exchange from 2014 to 2018. The total observations used in this study were 557 observations. This study used three measurements to assess tunneling activities in a company, namely, related party receivables (TUL1), related party payables (TUL2) and related party receivables-payables (TUL3).

Findings

The results of this study indicated that ownership concentration and foreign ownership had a negative effect on tunneling activity of TUL1. Meanwhile, the effect of ownership concentration and foreign ownership on TUL2 and TUL3 showed a positive effect. This indicated that manufacturing companies in Indonesia preferred to carry out tunneling activities through related party payables compared with related party receivables. Foreign ownership was also effective in controlling the company’s tunneling activities when the company conducted tunneling transactions of related party receivables. Small companies and companies with positive return on assets were more susceptible to tunneling activities carried out by the companies.

Practical implications

The results of this study can be used as a consideration for investors in making decisions by looking at tunneling activities carried out by companies in Indonesia.

Originality/value

To the best of the authors’ knowledge, no previous study in the tunneling literature has compared the results of the effect of the concentration of foreign ownership and ownership on tunneling using three measurements at once. This is useful to see the company’s behavior of tunneling activities from a different perspective.

Details

Rajagiri Management Journal, vol. 17 no. 1
Type: Research Article
ISSN: 0972-9968

Keywords

Content available
Book part
Publication date: 30 October 2018

FR. Oswald A. J. Mascarenhas, S.J.

Abstract

Details

Corporate Ethics for Turbulent Markets
Type: Book
ISBN: 978-1-78756-187-8

Content available
Book part
Publication date: 4 March 2024

Abstract

Details

Managing Destinations
Type: Book
ISBN: 978-1-83797-176-3

Content available
Book part
Publication date: 21 July 2011

Abstract

Details

Curbing Corruption in Asian Countries: An Impossible Dream?
Type: Book
ISBN: 978-0-85724-819-0

Content available
Article
Publication date: 9 November 2012

333

Abstract

Details

International Journal of Manpower, vol. 33 no. 8
Type: Research Article
ISSN: 0143-7720

Open Access
Article
Publication date: 27 March 2023

Michael Adu Kwarteng, Alex Ntsiful, Christian Nedu Osakwe and Kwame Simpe Ofori

This study proposes and validates an integrated theoretical model involving the theory of planned behavior (TPB), health belief model (HBM), personal norms and information privacy…

1107

Abstract

Purpose

This study proposes and validates an integrated theoretical model involving the theory of planned behavior (TPB), health belief model (HBM), personal norms and information privacy to understand determinants of acceptance and resistance to the use of mobile contact tracing app (MCTA) in a pandemic situation.

Design/methodology/approach

This study draws on online surveys of 194 research respondents and uses partial least squares structural equation modeling (PL-SEM) to test the proposed theoretical model.

Findings

The study establishes that a positive attitude towards MCTA is the most important predictor of individuals' willingness to use MCTA and resistance to use MCTA. Furthermore, barriers to taking action positively influence resistance to the use of MCTA. Personal norms negatively influence resistance to the use of MCTA. Information privacy showed a negative and positive influence on willingness to use MCTA and use the resistance of MCTA, respectively, but neither was statistically significant. The authors found no significant influence of perceived vulnerability, severity, subjective norms and perceived behavioral control on either acceptance or use resistance of MCTA.

Originality/value

The study has been one of the first in the literature to propose an integrated theoretical model in the investigation of the determinants of acceptance and resistance to the use of MCTA in a single study, thereby increasing the scientific understanding of the factors that can facilitate or inhibit individuals from engaging in the use of a protection technology during a pandemic situation.

Peer review

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-10-2021-0533

Details

Online Information Review, vol. 48 no. 1
Type: Research Article
ISSN: 1468-4527

Keywords

Open Access
Article
Publication date: 7 February 2023

Roberto De Luca, Antonino Ferraro, Antonio Galli, Mosè Gallo, Vincenzo Moscato and Giancarlo Sperlì

The recent innovations of Industry 4.0 have made it possible to easily collect data related to a production environment. In this context, information about industrial equipment  

1617

Abstract

Purpose

The recent innovations of Industry 4.0 have made it possible to easily collect data related to a production environment. In this context, information about industrial equipment – gathered by proper sensors – can be profitably used for supporting predictive maintenance (PdM) through the application of data-driven analytics based on artificial intelligence (AI) techniques. Although deep learning (DL) approaches have proven to be a quite effective solutions to the problem, one of the open research challenges remains – the design of PdM methods that are computationally efficient, and most importantly, applicable in real-world internet of things (IoT) scenarios, where they are required to be executable directly on the limited devices’ hardware.

Design/methodology/approach

In this paper, the authors propose a DL approach for PdM task, which is based on a particular and very efficient architecture. The major novelty behind the proposed framework is to leverage a multi-head attention (MHA) mechanism to obtain both high results in terms of remaining useful life (RUL) estimation and low memory model storage requirements, providing the basis for a possible implementation directly on the equipment hardware.

Findings

The achieved experimental results on the NASA dataset show how the authors’ approach outperforms in terms of effectiveness and efficiency the majority of the most diffused state-of-the-art techniques.

Research limitations/implications

A comparison of the spatial and temporal complexity with a typical long-short term memory (LSTM) model and the state-of-the-art approaches was also done on the NASA dataset. Despite the authors’ approach achieving similar effectiveness results with respect to other approaches, it has a significantly smaller number of parameters, a smaller storage volume and lower training time.

Practical implications

The proposed approach aims to find a compromise between effectiveness and efficiency, which is crucial in the industrial domain in which it is important to maximize the link between performance attained and resources allocated. The overall accuracy performances are also on par with the finest methods described in the literature.

Originality/value

The proposed approach allows satisfying the requirements of modern embedded AI applications (reliability, low power consumption, etc.), finding a compromise between efficiency and effectiveness.

Details

Journal of Manufacturing Technology Management, vol. 34 no. 4
Type: Research Article
ISSN: 1741-038X

Keywords

Open Access
Article
Publication date: 28 April 2022

Krzysztof Jakub Stojek, Jan Felba, Damian Nowak, Karol Malecha, Szymon Kaczmarek and Patryk Tomasz Tomasz Andrzejak

This paper aims to perform thermal and mechanical characterization for silver-based sintered thermal joints. Layer quality affects thermal and mechanical performance, and it is…

Abstract

Purpose

This paper aims to perform thermal and mechanical characterization for silver-based sintered thermal joints. Layer quality affects thermal and mechanical performance, and it is important to achieve information about how materials and process parameters influence them.

Design/methodology/approach

Thermal investigation of the thermal joints analysis method was focused on determination of thermal resistance, where temperature measurements were performed using infrared camera. They were performed in two modes: steady-state analysis and dynamic analysis. Mechanical analysis based on measurements of mechanical shear force. Additional characterizations based on X-ray image analysis (image thresholding), optical microscope of polished cross-section and scanning electron microscope image analysis were proposed.

Findings

Sample surface modification affects thermal resistance. Silver metallization exhibits the lowest thermal resistance and the highest mechanical strength compared to the pure Si surface. The type of dynamic analysis affects the results of the thermal resistance.

Originality/value

Investigation of the layer quality influence on mechanical and thermal performance provided information about different joint types.

Details

Soldering & Surface Mount Technology, vol. 35 no. 1
Type: Research Article
ISSN: 0954-0911

Keywords

Open Access
Article
Publication date: 10 June 2021

Ahm Shamsuzzoha, Sujan Piya and Mohammad Shamsuzzaman

This study aims to propose a method known as the fuzzy technique for order preference by similarity to ideal solution (fuzzy TOPSIS) for complex project selection in…

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Abstract

Purpose

This study aims to propose a method known as the fuzzy technique for order preference by similarity to ideal solution (fuzzy TOPSIS) for complex project selection in organizations. To fulfill study objectives, the factors responsible for making a project complex are collected through literature review, which is then analyzed by fuzzy TOPSIS, based on three decision-makers’ opinions.

Design/methodology/approach

The selection of complex projects is a multi-criteria decision-making (MCDM) process for global organizations. Traditional procedures for selecting complex projects are not adequate due to the limitations of linguistic assessment. To crossover such limitation, this study proposes the fuzzy MCDM method to select complex projects in organizations.

Findings

A large-scale engine manufacturing company, engaged in the energy business, is studied to validate the suitability of the fuzzy TOPSIS method and rank eight projects of the case company based on project complexity. Out of these eight projects, the closeness coefficient of the most complex project is found to be 0.817 and that of the least complex project is found to be 0.274. Finally, study outcomes are concluded in the conclusion section, along with study limitations and future works.

Research limitations/implications

The outcomes from this research may not be generalized sufficiently due to the subjectivity of the interviewers. The study outcomes support project managers to optimize their project selection processes, especially to select complex projects. The presented methodology can be used extensively used by the project planners/managers to find the driving factors related to project complexity.

Originality/value

The presented study deliberately explained how complex projects in an organization could be select efficiently. This selection methodology supports top management to maintain their proposed projects with optimum resource allocations and maximum productivity.

Details

Journal of Global Operations and Strategic Sourcing, vol. 14 no. 3
Type: Research Article
ISSN: 2398-5364

Keywords

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