This study investigates the impact of Chinese senior leaders’ diplomatic visits on outward and inward foreign direct investment (OFDI and IFDI, respectively). Additionally, it…
Abstract
Purpose
This study investigates the impact of Chinese senior leaders’ diplomatic visits on outward and inward foreign direct investment (OFDI and IFDI, respectively). Additionally, it aims to discern the differential impacts of diplomatic visits on FDI across different Chinese administrations.
Design/methodology/approach
We utilize data about the diplomatic visits of Chinese senior leaders to 146 host countries. The dataset was divided into two leadership eras: the tenure of President Hu Jintao and Prime Minister Wen Jiabao from 2003 to 2012 and the period from 2013 to 2021 under President Xi Jinping and Prime Minister Li Keqiang. We employ generalized least squares, lagged effect, and two-stage least squares methods to estimate the econometric model. This analytical framework assesses the influence of high-level diplomatic visits on FDI flows, addressing potential time-serial and endogeneity concerns.
Findings
The findings reveal that senior leaders’ diplomatic visits significantly boost Chinese OFDI. The effect on IFDI in China is not statistically significant. The administrations of Hu and Xi played positive roles in promoting OFDI. However, only Hu’s administration showed a statistically significant positive relationship with IFDI. The result suggests a potential increase in IFDI between China and host countries within two to three years following diplomatic visits.
Originality/value
This study contributes to the understanding of how Chinese senior leaders’ diplomatic activities affect foreign direct investment. It provides a deeper understanding of Chinese senior leaders’ diplomatic efforts to compensate for investment across two administration periods. It offers insights into the potential influence of diplomatic efforts on FDI, enriching the understanding of diplomacy’s role in international business contexts.
Details
Keywords
Leadership politics in China.
The Xi administration's emphasis on ideology.
The purpose of this paper is to assess the records system of a Turkish public university, using the example of Hacettepe University in order to develop records management programs…
Abstract
Purpose
The purpose of this paper is to assess the records system of a Turkish public university, using the example of Hacettepe University in order to develop records management programs in Turkish universities.
Design/methodology/approach
A survey method is used in this research; data are gathered through literature reviews, legal analysis, questionnaires, and interviews. Analyzing the information gathered concerning the differences and commonalities of the systems will allow researchers to develop solutions for records management.
Findings
The paper finds that institutional processes in Turkish public universities relating to records are not able to meet legal and administrative requirements, and this inadequacy resulted from erroneous applications, insufficient legal regulations, lack of quality‐based administrative structure, ineffective records management systems, and unqualified staff.
Originality/value
This paper uses analysis techniques specific to the records management and quality management fields in order to provide information about the administrative systems needed for quality‐based systems documentation.
Details
Keywords
Hanliang Fu, Hong Zhu, Pengdong Xue, Xi Hu, Xiaotong Guo and Bingsheng Liu
This study applied eye-tracking techniques and questionnaires within the framework of the Stimulus-Organism-Response Model (SOR) and Technology Acceptance Model (TAM), to…
Abstract
Purpose
This study applied eye-tracking techniques and questionnaires within the framework of the Stimulus-Organism-Response Model (SOR) and Technology Acceptance Model (TAM), to investigate the influencing factors of the public acceptance of 5G base stations.
Design/methodology/approach
This study used a combination of eye-tracking experiments and questionnaires. The data were analyzed using partial least squares structural equation modeling (PLS-SEM).
Findings
(1) The Technology Acceptance Model (TAM) could be used to explain the effects on public acceptance of 5G base stations in the context of the COVID-19 pandemic. The public's perceived usefulness and ease of use of 5G base stations positively affects public acceptance of 5G base stations. (2) The public's perceived risk of 5G base stations has a negative influence on the public acceptance of 5G base stations. (3) The public's visual attention to the different valence information about 5G base stations positively impacts the perceived ease of use while having negative impacts on perceived risk. (4) Visual attention to various valence information of 5G base stations can indirectly influence public acceptance through the perceived risk.
Originality/value
Applying the SOR and TAM to data obtained from eye-tracking experiments and questionnaires, this study analyzed the factors and mechanisms influencing public acceptance of 5G base stations in the context of the COVID-19 pandemic.
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Keywords
Xi Hu, Zhenjiao Chen, Robert M. Davison and Yaqin Liu
This study aims to investigate the factors influencing consumers' continued social commerce (s-commerce) intention and its underlying mechanism.
Abstract
Purpose
This study aims to investigate the factors influencing consumers' continued social commerce (s-commerce) intention and its underlying mechanism.
Design/methodology/approach
The authors define continued s-commerce intention as consumers' intention to continually participate in s-commerce activities, namely, requesting and sharing commercial information. Grounded in the motivation theory, perceived usefulness and perceived enjoyment are identified in this study as the motives behind consumers' continued s-commerce intention. Given the indispensable social facet of s-commerce, the authors include social support as another critical social factor motivating continuance intention. Furthermore, users' perceptions are affected by prior s-commerce outcomes, which concern the effectiveness of the commercial information exchange process. Research suggests that in such a context, the result of communication is jointly determined by source credibility and interactive relationships amongst individuals. Whilst source credibility determines the usefulness of the information transmitted, a social interaction supports this process. Therefore, source credibility and social interactions are crucial to the outcomes of s-commerce, which, in turn, affect consumers' perceived usefulness, perceived enjoyment and social support in s-commerce. Building on these arguments, the authors propose our research model and then test the hypotheses via a survey.
Findings
The authors find that consumers' perceived usefulness and informational social support of s-commerce directly affect their continued s-commerce intention. Moreover, perceived enjoyment leads to continued s-commerce intention via the mediation of perceived usefulness, whilst emotional social support influences continued s-commerce intention through the mediator of informational social support. In addition, source credibility is a significant antecedent of consumers' usefulness, enjoyment and social support perceptions, whilst a social interaction significantly impacts perceived enjoyment and social support.
Originality/value
Various consumer behaviours in s-commerce have been studied; however, the continuance intention to participate in the s-commerce activity remains unknown. This empirical study fills this research gap. Moreover, the authors initially reveal s-commerce participants' utilitarian orientation in the post-adoption stage: perceived usefulness and informational social support affect continuance intention more directly than perceived enjoyment and emotional social support. Further, prior studies on information systems continuance have mainly focused on technical features. By identifying the influence from social factors, i.e. social support, this work extends the literature on information systems continuance.
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Huaiyu Wang, Xi Hu, Shuangquan Yang and Guoquan Xu
The study aims to examine the impact of farmers’ actual adaptations on rice yields in the upland areas of Yunnan province, China.
Abstract
Purpose
The study aims to examine the impact of farmers’ actual adaptations on rice yields in the upland areas of Yunnan province, China.
Design/methodology/approach
The paper employs the simultaneous equations model with endogenous switching to investigate the different effects of adaptation strategies on rice yields achieved by adopters and nonadopters based on the cross-sectional data at farm level.
Findings
The results show that farmers’ access to government agricultural extension services significantly encourages rice farmers to make the adjustments in farm managements. The authors find that the adaptation strategies employed by farmers significantly increase rice yields. Adaptations adopted by upland farmers increase rice yields for both adopters and nonadopters, particularly for the nonadopters.
Originality/value
This paper contributes to the existing literature by focusing on farmers’ adaptation strategies to climate change in uplands of Yunnan using the primary household survey data. The results show the effectiveness of farmers’ adaptation adoptions on rice yields in uplands of Yunnan province.
Details
Keywords
Zhe Ouyang, Yuanyuan Zhang and Xi Hu
The exposure of recruitment discrimination often leads to negative publicity, which can substantially affect organizational attractiveness and the behavioral intentions of…
Abstract
Purpose
The exposure of recruitment discrimination often leads to negative publicity, which can substantially affect organizational attractiveness and the behavioral intentions of stakeholders. Therefore, this study aims to examine the relationship between negative publicity and intention to pursue a job, with organizational attractiveness as a mediator and perceived corporate social responsibility (CSR) and corporate product quality (CPQ) as two moderators.
Design/methodology/approach
A survey completed by 382 college students in three universities in Nanjing, China, was used to empirically test the research hypotheses. The respondents were asked their intention to apply for a job at Meituan after the exposure of its recruitment discrimination scandal in 2017.
Findings
Perceived negative publicity negatively influences intention to pursue employment via organizational attractiveness. In addition, moderated path analysis indicated that perceived CSR strengthens and perceived CPQ weakens the direct effect of perceived negative publicity on organizational attractiveness and its indirect effect on intention to pursue employment.
Research limitations/implications
Future research should seek to replicate these findings in other contexts and populations, including people who are not new to the job market and to control additional firm-level and contextual variables.
Originality/value
This research confirms a moderated mediation model positioning organizational attractiveness as a mediator of negative publicity's effects on intention to pursue employment and organizational image as a moderator of such effects. This study also contributes to the debate concerning the effect of corporate image by demonstrating opposing effects of its different dimensions amid a discrimination scandal.
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Keywords
The purpose of this paper is to seek to drive the modernization of the entire national economy and maintain in the long-term stability of the whole society; this paper proposes an…
Abstract
Purpose
The purpose of this paper is to seek to drive the modernization of the entire national economy and maintain in the long-term stability of the whole society; this paper proposes an improved model based on the first-order multivariable grey model [GM (1, N) model] for predicting the housing demand and solving the housing demand problem.
Design/methodology/approach
This paper proposes an improved model based on the first-order multivariable grey model [GM (1, N) model] for predicting the housing demand and solving the housing demand problem. First, a novel variable SW evaluation algorithm is proposed based on the sensitivity analysis, and then the grey relational analysis (GRA) algorithm is utilized to select influencing factors of the commodity housing market. Finally, the AWGM (1, N) model is established to predict the housing demand.
Findings
This paper selects seven factors to predict the housing demand and find out the order of grey relational ranked from large to small: the completed area of the commodity housing> the per capita housing area> the one-year lending rate> the nonagricultural population > GDP > average price of the commodity housing > per capita disposable income.
Practical implications
The model constructed in the paper can be effectively applied to the analysis and prediction of Chinese real estate market scientifically and reasonably.
Originality/value
The factors of the commodity housing market in Wuhan are considered as an example to analyze the sales area of the commodity housing from 2015 to 2017 and predict its trend from 2018 to 2019. The comparison between demand for the commodity housing actual value and one for model predicted value is capability to verify the effectiveness of the authors’ proposed algorithm.