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Article
Publication date: 11 December 2020

Ling Zhang, Minghui Zheng and Zheyan Zhang

This paper aims to study the impact of land options on the land transfer behaviour of Chinese city governments.

156

Abstract

Purpose

This paper aims to study the impact of land options on the land transfer behaviour of Chinese city governments.

Design/methodology/approach

Based on the institutional environment of Hangzhou, China, the option pricing model is used to measure the option value of the trading plots. The effect of the option value on the land transfer price and the timing of transfers are estimated respectively, using the hedonic price model and the survival analysis models.

Findings

The results show that the option value has a significant explanation on land price and timing of land transfers. Under the effect of option value, the positive impact of fiscal pressure on the possibility of land transfer weakens. From the perspective of the annual option premium rate, the option premium is closely related to the real estate cycle. Option premiums are higher during booms but lower during recessions and in new urban areas.

Practical implications

By revealing the distinction of land option premiums in different places and times, this paper provides a reference for city governments seeking a balance between real estate regulation and obtaining more land revenue.

Originality/value

By introducing policy variables that reflect the degree of tightness of real estate regulation and indicators of local government financial pressure, the paper discusses the impact of options on the transfer behaviour of local governments in different situations.

Details

Journal of Property Investment & Finance, vol. 39 no. 6
Type: Research Article
ISSN: 1463-578X

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Article
Publication date: 11 June 2018

Tao Wang, Xiaowei Liu, Minghui Kang and Haichao Zheng

The purpose of this paper is to examine factors affecting fundraisers’ voluntary information disclosure on crowdfunding platforms based on risk-perception theory (RPT).

1157

Abstract

Purpose

The purpose of this paper is to examine factors affecting fundraisers’ voluntary information disclosure on crowdfunding platforms based on risk-perception theory (RPT).

Design/methodology/approach

Structural equation modeling was employed to test the hypothesized relationships using data collected from China.

Findings

The authors found that plagiarism risk and financing risk are two important variables that influence fundraisers’ voluntary information disclosure. Specifically, plagiarism risk has a negative effect on fundraisers’ voluntary information disclosure, while financing risk has a positive effect on fundraisers’ voluntary information disclosure. Plagiarism risk is affected by information concerns, perceived control, project innovativeness, and quality of alternatives, while financing risk is affected by protection policy and information norms.

Originality/value

This study enriches crowdfunding research by identifying factors influencing fundraisers’ voluntary information disclosure and contributes to RPT by applying it in a new crowdfunding context.

Details

Online Information Review, vol. 42 no. 3
Type: Research Article
ISSN: 1468-4527

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Article
Publication date: 12 September 2016

Minghui Kang, Yiwen Gao, Tao Wang and Haichao Zheng

The purpose of this paper is to identify funders’ motivations for investing in crowdfunding. It applies trust theory to propose a research model including three subject measures �…

4700

Abstract

Purpose

The purpose of this paper is to identify funders’ motivations for investing in crowdfunding. It applies trust theory to propose a research model including three subject measures – fundraiser-related, project-related and platform-related factors. Trust has been categorized into cognitive and affective dimensions to specifically analyze the influential factors.

Design/methodology/approach

Bootstrapping is employed to analyze data collected from respondents with investment experience on equity crowdfunding projects. Structural equation modeling techniques are adopted to examine the factors that influence trust between funders and crowdfunding as well as the outcomes of this trust.

Findings

The results indicate that calculus trust and relationship trust collectively or separately transmit the effect of some antecedents to investment intention. However, there is no evidence indicating the mediating effects of calculus trust and relationship trust on the relationship of structural assurance and value congruence to investment intention.

Practical implications

This paper provides insights for crowdfunding fundraisers on how to build a strong relationship with funders, and it also gives crowdfunding designers advice on how to improve and perfect the platform functions.

Originality/value

This study contributes to a better understanding of the driving forces of calculus and relationship trust and their influence on investment intention. It is also the first to address a funder’s trust using a theoretical model describing the investor intention in crowdfunding and thereby extending the knowledge base of trust theory.

Details

Industrial Management & Data Systems, vol. 116 no. 8
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 2 September 2019

Tao Wang, Yalan Li, Minghui Kang and Haichao Zheng

The purpose of this paper is to apply the self-determination theory (SDT) to propose a research model that incorporates the SDT framework and contextual variables as determinants…

2045

Abstract

Purpose

The purpose of this paper is to apply the self-determination theory (SDT) to propose a research model that incorporates the SDT framework and contextual variables as determinants and self-identity and social identity as mediating constructs to predict individuals’ intentions toward donation crowdfunding in China.

Design/methodology/approach

Structural equation modeling is used to analyze the data collected from China.

Findings

The results indicate that the self-identity and social identity collectively or separately mediate the effect exerted by the sense of self-worth, face concern, moral obligation, perceived donor effectiveness, social interaction and referent network size on donation intentions. However, there is no evidence supporting the hypothesis connecting moral obligation with self-identity.

Practical implications

The study provides suggestions for service providers on how to improve and perfect the functions, and it also provides insights for donation crowdfunding fundraisers on how to increase the success rate.

Originality/value

The conclusions of this study provide academics with a more thorough understanding of the driving forces of individual behavior intention toward donation crowdfunding in China. This study further expands the SDT and identity theory in the context of donation crowdfunding, which improves their robustness in explaining behavioral intention. These theories may be an important part of future information system research.

Details

Industrial Management & Data Systems, vol. 119 no. 7
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 8 October 2024

Zhang Bolun, Zhou Yan and Jiang Minghui

This study aimed to verify the impact of e-commerce live streaming interactivity on consumer engagement behavior. Specifically, the multiple dimensions of interactivity and tie…

188

Abstract

Purpose

This study aimed to verify the impact of e-commerce live streaming interactivity on consumer engagement behavior. Specifically, the multiple dimensions of interactivity and tie strength together form a high-level consumer engagement behavior.

Design/methodology/approach

Data collection was carried out in the form of a questionnaire survey. Data from 416 respondents were analyzed by structural, followed by further test by fsQCA method.

Findings

Perceived controllability, perceived responsiveness and perceived mutuality positively influence tie strength, and tie strength promotes consumer engagement behavior. Moreover, we found a configuration effect between interactivity and tie strength and revealed four configurations that can affect high-level engagement behavior.

Research limitations/implications

First, the SEM results show that the three dimensions of perceived interactivity positively impact tie strength: perceived controllability, perceived responsiveness, and perceived mutuality. And perceived personalization has no positive impact on tie strength. Second, the relevant results show that tie strength positively impacts consumer engagement behavior. Third, we find that the relationship between perceived interactivity and consumer engagement behavior may not be asymmetric, so the alternative combination of causal conditions may produce the same results. The fsQCA results revealed four configurations that can affect the level of consumer engagement behavior. And tie strength is the core condition.

Practical implications

This study provides specific solutions for e-retailers and live streaming platforms to promote consumers' participation in engagement behavior in e-commerce live streaming.

Originality/value

This study transforms the linear impact of interactivity on consumer engagement behavior into a configuration effect for the first time, and enriches the live streaming commerce and consumer engagement behavior literature.

Details

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

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Article
Publication date: 2 October 2024

Junzhe Zhao, Minghui Wang, Yongxin Li and Guoxiang Zhao

Using social exchange theory, this paper explores the relationship between supervisor perceived organizational support and supervisor developmental feedback. It verifies the…

74

Abstract

Purpose

Using social exchange theory, this paper explores the relationship between supervisor perceived organizational support and supervisor developmental feedback. It verifies the mediating role of supervisor felt obligation to organization and the moderating role of supervisor core self-evaluation in this relationship.

Design/methodology/approach

A two-wave survey sampling method was applied to collect 247 pieces of paired data (supervisors-new employees) in organizations in China.

Findings

The results show that supervisor felt obligation to organization mediates the relationship between supervisor perceived organizational support and supervisor developmental feedback. The findings suggest that a high level of supervisor core self-evaluation strengthens the relationship between supervisor perceived organizational support and supervisor felt obligation to organization and then facilitates supervisor developmental feedback.

Originality/value

This study combines two perspectives, organizational factor and supervisor trait, to reveal the occurrence mechanism of supervisor developmental feedback and complements the research on the influencing factors of supervisor developmental feedback. In addition, it provides some theoretical guidance and practical insights into how organizations can motivate supervisors to provide developmental feedback to new employees.

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Article
Publication date: 10 June 2019

Chengzhang Li, Minghui Jiang and Xuchuan Yuan

Consumers are inclined to join longer queues due to social interactions in service consumptions. This purchase behavior brings in operational challenges in terms of capacity…

298

Abstract

Purpose

Consumers are inclined to join longer queues due to social interactions in service consumptions. This purchase behavior brings in operational challenges in terms of capacity planning, which affects consumers’ demand, leading to an unstable and fluctuated arrival process. This paper aims to investigate the dynamic characteristics of the arrival process of a service system with boundedly rational consumers whose purchase decisions are influenced by the queue length under social interactions.

Design/methodology/approach

Consumers’ bounded rationality is modeled based on the random utility theory. Due to social interactions, the equilibrium queue length and its interaction with the expected waiting time affect consumers’ value perception. The authors first analyze the optimal service capacity decision with or without considering the influence of social interactions in a static setting. They then focus on the dynamic characteristics of the arrival process by a one-dimensional dynamical model in terms of the arrival rate.

Findings

This paper finds that the service system can behave chaotic in terms of arrival rate dynamics under social interactions. The results highlight the dynamical complexity of a simple service system due to consumers’ behavioral factors and the influence of social interactions, which may be the critical drivers leading to fluctuated and uneven demand.

Originality/value

The findings demonstrate that due to consumers’ limited cognitive ability and the influence of social interactions, the demand to a service system can be stable, periodic or even chaotic in terms of the arrival process. This study provides an alternative explanation to the observed demand fluctuations in various service processes under the influence of social interactions, which is important for service providers to effectively manage service capacity to achieve a stable service process and improve operational efficiency.

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Article
Publication date: 2 February 2022

Cen Song, Li Zheng and Xiaojun (Gene) Shan

Internet-famous food (also known as “online celebrity” food) is very popular in the digital age. This study aims to investigate consumer attitudes and understand consumer behavior…

660

Abstract

Purpose

Internet-famous food (also known as “online celebrity” food) is very popular in the digital age. This study aims to investigate consumer attitudes and understand consumer behavior towards Internet-famous food.

Design/methodology/approach

The authors collected 136,835 online comments regarding “Internet-famous food” from Dianping platform between 2016 and 2019 using a web scraper. A sentiment lexicon for Internet-famous food was constructed, and sentiment analysis is further conducted to understand consumer attitudes. Additionally, the authors use topic analysis and time series analysis to study consumer behavior.

Findings

Sentiment analysis showed that the number of consumers' comments decreased over time with the attitudes being overall positive, and the Internet-famous food industry has a positive prospect; time series analysis showed that the consumption of Internet-famous food was not affected by the season; topic analysis showed that consumers' comments on Internet-famous food were rich with a large variety, covering food categories, brand, quality, service, environment and price.

Originality/value

To the authors’ knowledge, limited research has focused on public opinions regarding “Internet-famous food”. This is the first study on consumer behavior towards Internet-famous food. This article provides a unique insight into the purchasing behavior and attitude of Chinese Internet-famous food consumers through text mining.

Details

British Food Journal, vol. 124 no. 12
Type: Research Article
ISSN: 0007-070X

Keywords

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Article
Publication date: 14 October 2020

Haiyan Ge, Xintian Liu, Yu Fang, Haijie Wang, Xu Wang and Minghui Zhang

The purpose of this paper is to introduce error ellipse into the bootstrap method to improve the reliability of small samples and the credibility of the S-N curve.

163

Abstract

Purpose

The purpose of this paper is to introduce error ellipse into the bootstrap method to improve the reliability of small samples and the credibility of the S-N curve.

Design/methodology/approach

Based on the bootstrap method and the reliability of the original samples, two error ellipse models are proposed. The error ellipse model reasonably predicts that the discrete law of expanded virtual samples obeys two-dimensional normal distribution.

Findings

By comparing parameters obtained by the bootstrap method, improved bootstrap method (normal distribution) and error ellipse methods, it is found that the error ellipse method achieves the expansion of sampling range and shortens the confidence interval, which improves the accuracy of the estimation of parameters with small samples. Through case analysis, it is proved that the tangent error ellipse method is feasible, and the series of S-N curves is reasonable by the tangent error ellipse method.

Originality/value

The error ellipse methods can lay a technical foundation for life prediction of products and have a progressive significance for the quality evaluation of products.

Details

Engineering Computations, vol. 38 no. 1
Type: Research Article
ISSN: 0264-4401

Keywords

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Article
Publication date: 15 May 2019

Xuejun Shen, Minghui Yue, Pengfei Duan, Guihai Wu and Xuerui Tan

Based on the prediction of the consumption of medical materials, the purpose of this paper is to study the applicability of the grey model method to the field and its predicted…

167

Abstract

Purpose

Based on the prediction of the consumption of medical materials, the purpose of this paper is to study the applicability of the grey model method to the field and its predicted accuracy.

Design/methodology/approach

The ABC classification method is used to classify medical consumables and select the analysis objects. The GM (1,1) model predicts the annual consumption of medical materials. The GM (1,1) modeling of the consumption of the selected medical materials in 2006~2017 was carried out by using the metabolite sequence and the sequence topology subsequence, respectively. The average rolling error and the average rolling accuracy are calculated to evaluate the prediction accuracy of the model.

Findings

The ABC classification results show that Class A projects, which account for only 9.79 percent of the total inventory items, occupy most of the inventory funds. Eight varieties with varying purchases and usages and complete historical data were selected for further analysis. The subsequence GM(1,1) model group constructed by two different methods predicts and scans the annual consumption of eight kinds of medical materials, and the rolling precision can reach more than 90 percent.

Originality/value

The metabolic GM (1,1) model is an ideal predictive model that can meet the requirements for a short-term prediction of medical material consumption (Zhang et al., 2014). The GM (1,1) model is more suitable for a short-term prediction of medical material consumption with less data modeling.

Details

Grey Systems: Theory and Application, vol. 9 no. 2
Type: Research Article
ISSN: 2043-9377

Keywords

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