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Article
Publication date: 29 September 2020

Jiaqing Xu, Weiling Jiao, Hao Chen and Yufei Yuan

Free trial is an effective strategy to gaining users’ data so as to strengthen and optimize product design. The purpose of this paper is to understand the IT companies' dynamic…

432

Abstract

Purpose

Free trial is an effective strategy to gaining users’ data so as to strengthen and optimize product design. The purpose of this paper is to understand the IT companies' dynamic decision-making behavior in the free trial of IT products and services context based on a three-stage theoretical framework and users' decision-making behavior in the respective stage.

Design/methodology/approach

A three-stage methodology is proposed to clarify relevant decision problems and actions in each stage from IT companies' and users' perspectives, respectively. It then investigates relating variables on IT companies' decision-making based on extant research and users' decision-making.

Findings

In this study, the authors argue that the IT companies have to make the offering, implementation and retention decision in different stage during the whole free trial process. Each decision is determined by several variables from their own and users, namely the offering decision is determined by product characteristics, network effects, product life cycle and WOM (word of mouth); the implementation decision is determined by the quality of products and services, trial type, incentive measures on user's usage and communication strategy; and the retention decision is determined by the product and price strategy.

Practical implications

The results are practical and can be used by IT companies as a decision basis or reference to make reliable decisions so that IT companies can take target measures to ensure the effectiveness of their free trial strategy so as to meet their users' needs based on products designed by data driven. Thus, the ultimate goal of supply chain management is achieved.

Originality/value

In this study, the decision-making process in the free trial of IT products and services context is investigated as a whole for the first time. From the IT companies' perspective, the process includes offering, implementation and retention decision stages, which are continuous and inseparable. The variables that determine IT companies' decision-making are identified based on users' decision and action. Hence, it represents a brand-new whole process perception to clearly understand the dynamic of the IT companies' decision-making. Considering users' decision and action, the final decisions of the IT companies will be more practical in respect of motivating, retaining and upgrading users.

Details

Journal of Enterprise Information Management, vol. 34 no. 1
Type: Research Article
ISSN: 1741-0398

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Article
Publication date: 14 September 2023

Cheng Liu, Yi Shi, Wenjing Xie and Xinzhong Bao

This paper aims to provide a complete analysis framework and prediction method for the construction of the patent securitization (PS) basic asset pool.

143

Abstract

Purpose

This paper aims to provide a complete analysis framework and prediction method for the construction of the patent securitization (PS) basic asset pool.

Design/methodology/approach

This paper proposes an integrated classification method based on genetic algorithm and random forest algorithm. First, comprehensively consider the patent value evaluation model and SME credit evaluation model, determine 17 indicators to measure the patent value and SME credit; Secondly, establish the classification label of high-quality basic assets; Then, genetic algorithm and random forest model are used to predict and screen high-quality basic assets; Finally, the performance of the model is evaluated.

Findings

The machine learning model proposed in this study is mainly used to solve the screening problem of high-quality patents that constitute the underlying asset pool of PS. The empirical research shows that the integrated classification method based on genetic algorithm and random forest has good performance and prediction accuracy, and is superior to the single method that constitutes it.

Originality/value

The main contributions of the article are twofold: firstly, the machine learning model proposed in this article determines the standards for high-quality basic assets; Secondly, this article addresses the screening issue of basic assets in PS.

Details

Kybernetes, vol. 53 no. 2
Type: Research Article
ISSN: 0368-492X

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Article
Publication date: 6 February 2025

Jingyu Cao, Jiusheng Bao, Yan Yin, Cheng Liu, Xiaolong Wang and Jiao Yang

This study aims to develop a large gap nanomagnetic liquid sealing technology to address the problems of significant deformation, vibration, and radial oscillation caused by harsh…

8

Abstract

Purpose

This study aims to develop a large gap nanomagnetic liquid sealing technology to address the problems of significant deformation, vibration, and radial oscillation caused by harsh working conditions such as low assembly and processing accuracy, heavy load, and high speed in mechanical equipment.

Design/methodology/approach

Based on the principle of magnetic liquid sealing structure, a large gap magnetic fluid sealing scheme based on axial and radial distribution was proposed, equipped with self-made silicone oil–based magnetic fluid. Taking the common roller in mining equipment as an example, sealing performance tests were conducted using a mining roller running resistance test bench in the simulated underground environment.

Findings

In routine environmental tests, the running resistance of the new magnetic liquid sealing roller is reduced by an average of 7.6% and 34.3% compared to the labyrinth sealing roller, respectively; In long-term environmental tests, the running resistance of the new magnetic liquid sealing roller decreased by an average of 16.2% compared to the labyrinth sealing roller, it is recommended to equip it with self-made silicone oil–based magnetic fluid; In vibration environmental tests, the running resistance of the new magnetic liquid sealing roller is more stable compared to the magnetic liquid sealing roller with only axial distribution.

Originality/value

The research results have important theoretical and practical value in compensating for the shortcomings of magnetic fluid sealing structure and expanding the application fields of magnetic fluid.

Details

Industrial Lubrication and Tribology, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0036-8792

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Book part
Publication date: 30 August 2019

Fulya Ozcan

This chapter investigates the behavior of Reddit’s news subreddit users and the relationship between their sentiment on exchange rates. Using graphical models and natural language…

Abstract

This chapter investigates the behavior of Reddit’s news subreddit users and the relationship between their sentiment on exchange rates. Using graphical models and natural language processing, hidden online communities among Reddit users are discovered. The data set used in this project is a mixture of text and categorical data from Reddit’s news subreddit. These data include the titles of the news pages, as well as a few user characteristics, in addition to users’ comments. This data set is an excellent resource to study user reaction to news since their comments are directly linked to the webpage contents. The model considered in this chapter is a hierarchical mixture model which is a generative model that detects overlapping networks using the sentiment from the user generated content. The advantage of this model is that the communities (or groups) are assumed to follow a Chinese restaurant process, and therefore it can automatically detect and cluster the communities. The hidden variables and the hyperparameters for this model are obtained using Gibbs sampling.

Details

Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Part A
Type: Book
ISBN: 978-1-78973-241-2

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Article
Publication date: 12 May 2020

Safeer Ullah Khan, Xiang-dong Liu, Cheng Liu, Ikram Ullah Khan and Zahid Hameed

This paper investigates the effects of different uncertainties on Internet stock trading (IST) adoption intentions of individual investors in China and aims to determine the…

651

Abstract

Purpose

This paper investigates the effects of different uncertainties on Internet stock trading (IST) adoption intentions of individual investors in China and aims to determine the interaction effects of trust and perceived benefits in the relationship between uncertainty dimensions and IST adoption intentions.

Design/methodology/approach

Using a structured questionnaire, a survey of 353 experienced stock traders was conducted in China. The proposed uncertainty-trust-perceived benefits framework was examined through structural equation modelling using Smart PLS 3.0.

Findings

The study found significant negative effects of perceived technology uncertainty, perceived regulatory uncertainty and perceived information asymmetry on the IST adoption intentions of individual investors. Perceived service intangibility was found to have only insignificant effects on IST adoption intentions. In terms of interaction results, trust significantly moderates the relationship between IST adoption intentions and, respectively, perceived technology uncertainty and perceived information asymmetry. Similarly, perceived benefits significantly moderate the relationship between intentions to adopt IST and both perceived technology uncertainty and perceived regulatory uncertainty.

Practical implications

The regulators for IST development in China could utilise the results of this study as guidelines for strategies to increase the use of IST among existing and potential investors.

Originality/value

Using social cognitive theory, this research investigates the effects of various uncertainties on IST adoption intentions of individual investors in China; these effects have not been explored by previous literature. Furthermore, few studies other than this one have investigated the interaction effects of factors which counteract the negative effect of other factors.

Details

Information Technology & People, vol. 34 no. 2
Type: Research Article
ISSN: 0959-3845

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Article
Publication date: 21 April 2022

Cheng-Chia Yang, Cheng Liu and Yi-Shun Wang

This article aims at a Unified Theory of Acceptance and Use of Technology (UTAUT) model framework that was used to investigate the impact of a 16-h smartphone training program on…

658

Abstract

Purpose

This article aims at a Unified Theory of Acceptance and Use of Technology (UTAUT) model framework that was used to investigate the impact of a 16-h smartphone training program on the correlations among different constructs of smartphone use in a sample of older adults.

Design/methodology/approach

A total of 208 participants aged 60–78 (mean: 65.4) years completed a questionnaire that collected information on demographic variables and the frequency and duration of smartphone use as well as the answers to questions on the six UTAUT constructs of performance expectancy, effort expectancy, social influence, facilitating conditions, and behavioral intention and usage behavior. The data were analyzed using partial least squares analysis.

Findings

This study was the first to compare post-training changes in the correlations among UTAUT constructs. The results revealed significant post-training changes in all construct correlations. Behavioral intention and facilitating conditions were shown to significantly impact usage behavior both before and after training and performance expectancy was shown to impact behavioral intention before training. After training, both effort expectancy and social influence were found to impact behavioral intention significantly. Moreover, the impact of facilitating conditions on usage behavior was significantly increased after training.

Originality/value

To date, no study published in the literature has investigated the impact of technological training on the technology-use intentions and behaviors of older adults. The findings of this study suggest that, for older adults, the results of the acceptance and use model for smartphones change significantly and positively between pre-smartphone training and post-smartphone training time points. The findings support that technology training has a positive impact on smartphone use in older adults.

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Book part
Publication date: 23 September 2022

Temidayo Oluwasola Osunsanmi, Clinton Ohis Aigbavboa, Wellington Didibhuku Thwala and Ayodeji Emmanuel Oke

This chapter aimed to uncover the gaps in the existing construction supply chain management (CSCM) models. Organisational culture and the fourth industrial revolution (4IR…

Abstract

This chapter aimed to uncover the gaps in the existing construction supply chain management (CSCM) models. Organisational culture and the fourth industrial revolution (4IR) components are the two gaps that were identified through reviewing existing CSCM models. The 4IR is driven by three components which are smart management, virtualisation and cyber-physical system. It was proposed in this chapter that the practice of CSCM should be in tandem with the components of 4IR. This chapter recommended that for the effective practice of the construction supply chain (CSC) in the 4IR era, construction stakeholders should adopt an innovative and collaborative organisational culture. The organisational culture adopted by a construction firm performs a crucial role in encouraging construction stakeholders in adopting 4IR components for CSCM. Each of the 4IR components is driven by technologies like autonomous robots, building information modelling (BIM), radio frequency identification (RFID), the internet of things (IoT) and others. Among all the technologies, it was discovered that RFID and BIM had gained prominence in most CSC literature. The chapter recommended that blockchain, digital twins and the cyber-physical system are the next trending technology for CSCM.

Details

Construction Supply Chain Management in the Fourth Industrial Revolution Era
Type: Book
ISBN: 978-1-80382-160-3

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Article
Publication date: 9 December 2024

Yi-Chi Hsiao, Cheng-Hsi Liu and Chun-Ping Yeh

The purpose of this study is to scrutinize the relationship between the founder’s control level over the startup and the startup’s board size on fundraising efficiency, in…

15

Abstract

Purpose

The purpose of this study is to scrutinize the relationship between the founder’s control level over the startup and the startup’s board size on fundraising efficiency, in addition to examining how these factors are influenced by different resource combinations that the startup attracts.

Design/methodology/approach

A sample of 1356 firm-year observations is collected from both the startup database of Business Next Media Corp. in Taiwan and the Company Registration and Business Registration Database of Taiwan’s Ministry of Economic Affairs’ Department of Commerce. The panel data analytic approach with fixed effect is used for hypothesis testing.

Findings

The founder’s shareholding negatively correlates with fundraising efficiency; such a negative relationship can be alleviated by incorporating foreign investors. The board size positively correlates with fundraising efficiency; such a positive relationship can be mitigated by the inclusion of external corporate directors.

Originality/value

While a conventional understanding posits that startups with diverse, multiplex and symmetrical boards can rapidly construct a diverse alliance portfolio, henceforth always being beneficial to growth, this research challenges this notion by probing the possible adverse effects of having an excessive number of outside corporate directors on a startup’s fundraising efficiency.

Details

Chinese Management Studies, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1750-614X

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Article
Publication date: 26 October 2018

Cheng Liu, Wei Wei, Qingdong Yan, Brian K. Weaver and Houston G. Wood

The purpose of this paper is to study the transient cavitation process in torque converters with a particular focus on cavitation suppression with a passive flow control technique.

208

Abstract

Purpose

The purpose of this paper is to study the transient cavitation process in torque converters with a particular focus on cavitation suppression with a passive flow control technique.

Design/methodology/approach

The transient fluid field in a torque converter was simulated by RANS-based computational fluid dynamics (CFD) in a full three-dimensional (3D) model. A homogeneous Rayleigh–Plesset cavitation model was used to simulate the transient cavitation process and the results were validated with test data. Various secondary flow passages (SFP) were applied to the stator blade. The cavitation behavior and hydrodynamic performance were simulated and compared to investigate the effect of SFP geometries on cavitation suppression.

Findings

Presented results show that cavitation in the torque converter is highly unstable at stall operating condition because of the combination of a high incidence angle and high flow velocity. The addition of an SFP to the stator blade produces a disruption of the re-entrant jet and reduces the overall degree of cavitation, consequently inhibiting the unstable cavitation and reducing performance degradation.

Originality/value

This paper provides unique insights into the complicated transient cavitation flow patterns found in torque converters and introduces effective passive flow control techniques useful to researchers and engineers in the areas of fluid dynamics and turbomachinery.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. 29 no. 1
Type: Research Article
ISSN: 0961-5539

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Article
Publication date: 24 December 2021

Xunfa Lu, Cheng Liu, Kin Keung Lai and Hairong Cui

The purpose of the paper is to better measure the risks and volatility of the Bitcoin market by using the proposed novel risk measurement model.

282

Abstract

Purpose

The purpose of the paper is to better measure the risks and volatility of the Bitcoin market by using the proposed novel risk measurement model.

Design/methodology/approach

The joint regression analysis of value at risk (VaR) and expected shortfall (ES) can effectively overcome the non-elicitability problem of ES to better measure the risks and volatility of financial markets. And because of the incomparable advantages of the long- and short-term memory (LSTM) model in processing non-linear time series, the paper embeds LSTM into the joint regression combined forecasting framework of VaR and ES, constructs a joint regression combined forecasting model based on LSTM for jointly measuring VaR and ES, i.e. the LSTM-joint-combined (LSTM-J-C) model, and uses it to investigate the risks of the Bitcoin market.

Findings

Empirical results show that the proposed LSTM-J-C model can improve forecasting performance of VaR and ES in the Bitcoin market more effectively compared with the historical simulation, the GARCH model and the joint regression combined forecasting model.

Social implications

The proposed LSTM-J-C model can provide theoretical support and practical guidance to cryptocurrency market investors, policy makers and regulatory agencies for measuring and controlling cryptocurrency market risks.

Originality/value

A novel risk measurement model, namely LSTM-J-C model, is proposed to jointly estimate VaR and ES of Bitcoin. On the other hand, the proposed LSTM-J-C model provides risk managers more accurate forecasts of volatility in the Bitcoin market.

Details

Kybernetes, vol. 52 no. 4
Type: Research Article
ISSN: 0368-492X

Keywords

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