Minxue Huang, Xiu Hu and Shiyong Zheng
There is always a matching effect in advertising persuasion – the information that matches product characteristics or target consumer characteristics is considered to be…
Abstract
Purpose
There is always a matching effect in advertising persuasion – the information that matches product characteristics or target consumer characteristics is considered to be relatively more persuasive. Based on the accessibility-diagnosability theory, this paper discusses the influence of the matching degree between the information presentation (vague description and precise description) and product attribute (vertical attribute and horizontal attribute) on people's attitudes toward advertising.
Design/methodology/approach
Study 1 aims to explore the impact of the matching effect of different information presentation methods (precise presentation vs vague presentation) and product attribute (horizontal attribute vs vertical attribute) on consumers' attitudes toward advertising; secondary data was used to support this research. Study 2 mainly used the situational simulated experiment to examine the results of study 1, and further explored the mediating mechanism of its matching effect.
Findings
The authors found that the matching degree between the information presentation method and product attribute will positively affect the fluency of advertising information processing, that is, the use of vague description of product vertical attribute can positively affect consumers' extraction fluency; while the use of precise description of product horizontal attribute can positively affect consumers' processing fluency, and both extraction fluency and processing fluency will positively affect consumers' attitude toward the advertisement.
Originality/value
An essential enlightenment of the research is that it sheds light on the interaction between product attribute (vertical attribute vs horizontal attribute) with the information presentation method (vague description vs precise description) from the perspective of accessibility-diagnosability theory, which explains consumers' information processing mechanisms in dealing with different advertising information.
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Xiaonan Chen, Shiyong Chu, Guanglin Zhang, Xuanyou Chen, Jun Huang and Mingxu Yi
General aviation aircraft has a wide range of applications, and effective cost management is one of the hot spots in the research of general aviation manufacturers. The purpose of…
Abstract
Purpose
General aviation aircraft has a wide range of applications, and effective cost management is one of the hot spots in the research of general aviation manufacturers. The purpose of this paper is to build a flexible engineering method to predict maintenance cost of general aviation aircraft.
Design/methodology/approach
To establish a reasonable general aviation aircraft maintenance cost prediction model, it is necessary to analyze the influencing factors and extract the main components of maintenance cost. The maintenance cost is divided by engineering method, and the estimation model of each component cost is established. Then, the general aviation aircraft maintenance cost model is obtained. The results show that the relative error of this method is between 13% and 20%, which has a good estimation accuracy and can be effectively used to estimate the maintenance cost of general aviation aircraft.
Findings
The maintenance cost plays an important role in the life cycle cost of general aviation aircraft. Accurate cost prediction method is of great significance to the optimal design of general aviation aircraft. However, there are few prediction models suitable for maintenance cost, the proposed approach is meaningful and quite desirable.
Originality/value
To some extent, this method overcomes the shortage of the work on maintenance cost prediction for general aviation aircraft. The model established in this paper has certain generality, which can provide some reference for general aviation aircraft design and operation enterprises.
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Jianchun Sun, Shiyong Yang, Shengping Huang, Zhijiang Shang and Weihao Ling
This paper addresses the issue of internal spatial environmental pollution in non-blasting tunnel construction by proposing a comprehensive evaluation model. The model aims to…
Abstract
Purpose
This paper addresses the issue of internal spatial environmental pollution in non-blasting tunnel construction by proposing a comprehensive evaluation model. The model aims to provide a scientific basis for environmental pollution prevention in non-blasting tunnel construction, thereby facilitating green tunnel construction and sustainable development management.
Design/methodology/approach
The study firstly refines and constructs the evaluation index system from the perspective of pollution sources. A novel weight calculation method is introduced by integrating the analytic hierarchy process (AHP) with the ordered weighted averaging (OWA) operator, and a comprehensive evaluation model for internal environmental pollution in non-blasting tunnels is established by incorporating the grey clustering evaluation method. Finally, an empirical study is conducted using the Erbaoshan Tunnel as a case study to verify the feasibility and effectiveness of the model.
Findings
The study develops an evaluation system for internal environmental pollution in non-blasting tunnels and applies it to the Erbaoshan Tunnel. The results classify the pollution level as “general pollution,” confirming the rationality and applicability of the evaluation system and model while also identifying the primary pollution factors.
Originality/value
This study first developed a comprehensive evaluation system for environmental pollution in non-blasting tunnel construction from the pollution source perspective, making the system more comprehensive. Additionally, it innovatively combined AHP–OWA and gray clustering methods to scientifically assess pollution levels, providing valuable scientific guidance for the evaluation and management of non-blasting tunnels and similar underground projects.
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Shiyong Xu, Jia Yu and Jinyi Zhou
Drawing on the social cognitive model of career self-management (CSM model) and deep learning theory, the authors' study aims to investigate the effect of knowledge sharing on…
Abstract
Purpose
Drawing on the social cognitive model of career self-management (CSM model) and deep learning theory, the authors' study aims to investigate the effect of knowledge sharing on career adaptability and explore how and when this effect occurs. The authors proposed a moderated sequential-mediation model linking knowledge sharing, knowledge depth, self-efficacy and career adaptability, moderated by reflective thinking.
Design/methodology/approach
The authors used a field survey involving 611 employees working in different enterprises in China to test the authors' predictions. For supplementary validation, the authors conducted a scenario-based experiment with a distinct sample of 148 employees from Chinese enterprises. The authors used hierarchical regression analysis, ANOVA analysis and moderated sequential-mediation analysis to test the hypotheses.
Findings
The results indicated a positive effect of knowledge sharing on career adaptability, sequentially mediated through knowledge depth and self-efficacy. Additionally, reflective thinking strengthened the positive effect of knowledge sharing on knowledge depth and further moderated the sequential mediating effect.
Originality/value
Previous research has predominantly focused on the perspective that individuals act as “recipients” from the environment in developing career adaptability. Instead, the authors adopt a “giving” perspective by investigating the influence of knowledge sharing on career adaptability, which advances the existing knowledge on the predictors of career adaptability.
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Hailing Shi, Yaqi Wang, Xiaoya Gong and Fumin Deng
This study aims to identify which types of information quality influence purchase intentions the most in live streaming commerce and to examine the role of network size in this…
Abstract
Purpose
This study aims to identify which types of information quality influence purchase intentions the most in live streaming commerce and to examine the role of network size in this context.
Design/methodology/approach
We propose a model to investigate the correlation among the quality of different information in live streaming commerce, consumer trust, network size and purchase intention. An empirical analysis of 505 questionnaires was conducted by constructing a structural equation model.
Findings
The empirical findings indicate that information quality can directly enhance purchase intention and exert an indirect influence through the mediating factors of trust in products and streamers. Perceived network size positively moderates the relationship between information quality and trust in products. Of the five types of information, the quality of bullet-screen comments information is most important to consumers.
Originality/value
This study represents the first systematic analysis of how the quality of multiple types of information in live streaming commerce influences consumer trust and purchase intention, integrated within a unified framework. It uniquely introduces network size as a moderating variable, offering both theoretical insights and practical guidance for balancing information quality with network size in live streaming commerce environments.
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After Ma Yingjeou's re‐election in 2012, Mainland China and Taiwan will continue cooperation in economic fields. The purpose of this paper is to undertake research on a bilateral…
Abstract
Purpose
After Ma Yingjeou's re‐election in 2012, Mainland China and Taiwan will continue cooperation in economic fields. The purpose of this paper is to undertake research on a bilateral investment agreement (BIA) between Mainland China and Taiwan.
Design/methodology/approach
The paper uses statistics to demonstrate the growing cross‐strait investment and incompetent contemporary investment protection mechanisms in Mainland China and Taiwan. The paper also compares laws in Mainland China and Taiwan and the investment protection agreements concluded by Mainland and Taiwan with other countries, respectively.
Findings
Based on the similarities of current laws and the investment protection agreements concluded by Mainland China and Taiwan with other countries, respectively, Mainland China and Taiwan can possibility agree upon major provisions of a BIA. Solutions are provided to both macro and micro challenges against a successful BIA.
Research limitations/implications
It is hard to predict whether the BIA will promote political integration between Mainland China and Taiwan in the near future.
Practical implications
A BIA can boost investors' confidence.
Social implications
This paper may serve as a humble reference for both the Mainland China and Taiwan government when negotiating the BIA.
Originality/value
Cross‐strait investment is an important and prosperous field in practice, but has not been fully explored in literature thus far. This Article aims to fill this gap.
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The purpose of this paper is to examine the factors that lead to the controversy within the existing empirical literature on the relationship between land tenure and agricultural…
Abstract
Purpose
The purpose of this paper is to examine the factors that lead to the controversy within the existing empirical literature on the relationship between land tenure and agricultural investments in China.
Design/methodology/approach
This study conducts a meta-regression analysis (MRA) based on 265 samples from 29 selected studies. These studies are collected from different regions and populations; therefore, this study utilizes a random-effects meta-regression model to control between-study heterogeneity.
Findings
The empirical results show that the variable “land-related long-term investments” significantly affects the relationship between land tenure and agricultural investments. The variables: “ration land,” “land titling” and “land transfer rights” all have significant effects on this relationship, but at different levels. The study area (e.g. “western China,” “central/inland China,” “two regions contained”), “plot level,” “panel data,” “sample size,” “considered endogeneity” and “off-farm employment” variables all significantly influence the relationship. Additionally, the results show that the relationship is significantly affected by the survey time.
Practical implications
Policymakers should treat the existing research conclusions with caution and pay more attention to defining land tenure. The relationship between land tenure and agricultural investments also depends on regional resource availability. Therefore, land property rights policies should be region-specific in order to successfully encourage agricultural investments.
Originality/value
In this study, the author collectively examines existing empirical studies to investigate whether their inconsistent results are affected by research characteristics. To the author’s knowledge, this is the first study that analyzes land tenure and agricultural investments in China using MRA. Future research should refine the definition of land tenure, the selection of agricultural investment types, the research method and the method of data collection.
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Yu Chen, Xiaoning Zhu, Xueli Xiong, Cen Zhang and Jiashun Huang
Corporations, as key contributors of greenhouse gas emissions, have been increasingly scrutinized by governments and stakeholders. Corporations have been asked to disclose their…
Abstract
Purpose
Corporations, as key contributors of greenhouse gas emissions, have been increasingly scrutinized by governments and stakeholders. Corporations have been asked to disclose their carbon-related information. This study investigates public corporate carbon disclosure, an imperative communication channel between firms.
Design/methodology/approach
This study uses generalized estimation equation models with a longitudinal panel data of 311 listed firms in the China A-share stock index from 2010 to 2020. This study collected firm-level data from the Carbon Disclosure Project survey, the China Stock Market and Accounting Research, and the National Economic Research Institute of China. Stata was used as the primary statistic software in empirical analyses.
Findings
This study finds that compared to state-owned enterprises (SOEs), private firms are more willing to disclose carbon information under legitimate environmental pressure, and firms in highly distorted factor-markets are reluctant to disclose carbon information. This study finds that factor-distortion markets further moderate ownership and lead private firms in highly distorted factor-markets to behave like SOEs by significantly reducing their carbon disclosures.
Originality/value
This study intends to contribute to the corporate carbon disclosure literature by adding important institutional determinants to the conversation in the context of China.
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Rupjyoti Saha and Santi Gopal Maji
Given the substantial contribution of intangible assets to firms’ overall valuation in the present knowledge-based era, this study aims to explore how these non-physical assets…
Abstract
Purpose
Given the substantial contribution of intangible assets to firms’ overall valuation in the present knowledge-based era, this study aims to explore how these non-physical assets influence the effectiveness of ESG disclosure in reducing carbon intensity (CI).
Design/methodology/approach
This study focuses on the S&P 500 firms for the period 2015–2016 to 2022–2023 to study the overall impact of ESG disclosure on CI and investigate the differential impact of the same based on firms’ intangible assets by applying the system generalized method of moments (GMM) and two stage least squares (2SLS) regression models.
Findings
This study finds that overall, there is a significant negative impact of ESG disclosure on CI. However, the impact of ESG disclosure on CI varies based on firms’ intangible assets. In particular, ESG disclosure leads to significant mitigation of CI for firms with high intangible assets, while the same relationship becomes insignificant for the firms with low intangible assets.
Originality/value
Given the extant ESG literature that largely focuses on its financial outcome, this study makes a novel contribution by studying the impact of ESG disclosure on a sustainability parameter, that is CI in the context of the US. Moreover, this research adds deeper insights into the strategic importance of intangible assets in enhancing corporate sustainability performance.
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Jun Sik Kim and Sol Kim
This paper investigates a retrospective on the Journal of Derivatives and Quantitative Studies (JDQS) on its 30th anniversary based on bibliometric. JDQSs yearly publications…
Abstract
This paper investigates a retrospective on the Journal of Derivatives and Quantitative Studies (JDQS) on its 30th anniversary based on bibliometric. JDQSs yearly publications, citations, impact factors, and centrality indices grew up in early 2010s, and diminished in 2020. Keyword network analysis reveals the JDQS's main keywords including behavioral finance, implied volatility, information asymmetry, price discovery, KOSPI200 futures, volatility, and KOSPI200 options. Citations of JDQS articles are mainly driven by article age, demeaned age squared, conference, nonacademic authors and language. In comparison between number of views and downloads for JDQS articles, we find that recent changes in publisher and editorial and publishing policies have increased visibility of JDQS.