Qingyu Shi, Jingyu Yu, Lifei Zhang, Jingfeng Wang and Guowei Cheng
The construction industry has experienced an irreversible digital transformation to smart construction. Many countries have published supporting policies to encourage the…
Abstract
Purpose
The construction industry has experienced an irreversible digital transformation to smart construction. Many countries have published supporting policies to encourage the development of smart construction. However, there is no universally valid approach. This paper thus aims to evaluate smart construction policies issued by 24 pilot cities in China and identify applicable policy tools and their impact.
Design/methodology/approach
This paper collected 33 governmental documents on smart construction through the official websites in China. Different policy tools were classified into supply-side, demand-side and environment-side categories. The supporting policies of smart construction development in pilot cities were quantitatively evaluated by using a policy modeling consistency index (PMC-index) model.
Findings
Supply-type and environment-type policy instruments were used more frequently than demand-type policies in 24 pilot cities. Most of the 24 pilot cities had an evaluation of PMC-index over 8, realizing the consistency of smart construction policies. Eight pilot cities had an evaluation of PMC-index of 6–7.99, realizing acceptable consistency. Only Foshan City has an evaluation of PMC-index below 4, which may reflect a poor consistency of policy implementation. The paper proposes consistencies of smart construction policies of 24 pilot cities and valid policy instruments, including the presale of commercial residential buildings, additional bonus points in the tendering process and cooperating with multiple departments when promoting smart construction.
Originality/value
This paper contributes to expanding policy evaluation studies in the smart construction field and provides concrete suggestions for policymakers to formulate more effective and specific policies and strategies for the development of smart construction.
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Nisit Panthamit, Chukiet Chaiboonsri, Pimonpun Boonyasana, Chira Bureecam and Guowei Tian
The purpose of this study is to evaluate the use of a parallel market mechanism in forecasting the exchange rate of Myanmar Kyat (MMK) after the 2021 Myanmar coup. This paper…
Abstract
Purpose
The purpose of this study is to evaluate the use of a parallel market mechanism in forecasting the exchange rate of Myanmar Kyat (MMK) after the 2021 Myanmar coup. This paper seeks to answer how an official fixed exchange rate is influenced by a parallel market rate during the military coup. This study demonstrates both the benefit of understanding the impact of a market mechanism and the unique value of leveraging deep learning (DL).
Design/methodology/approach
This study applies DL for the first time to forecast the daily official exchange rates and parallel exchange rates, covering the period January 5, 2021–August 22, 2022. This study shows the insights available from forecasting the market exchange rate of MMK in parallel markets that are sensitive to political changes for Myanmar.
Findings
After the February 2021 military coup in Myanmar, the subsequent use of an untrusted exchange rate system in Myanmar resulted in a sharp gap between the official and the parallel exchange rates. The study shows that the actual forecasting of exchange rates is primarily a reflection of an active market mechanism rather than official exchange rates set by the monetary authorities.
Originality/value
No previous study has forecast the exchange rate of Myanmar since the latest Myanmar coup in 2021. This study contributes crucial predictions, provides a robust technique “deep learning”.
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The profound impact of the COVID-19 pandemic on the film industry has underscored the growing significance of online movies. However, there is limited research available on the…
Abstract
Purpose
The profound impact of the COVID-19 pandemic on the film industry has underscored the growing significance of online movies. However, there is limited research available on the factors that influence the viewership of online films. Therefore, this study aims to use the signaling theory to investigate how signals of varying qualities affect online movie viewership, considering both signal transmission costs and prices.
Design/methodology/approach
This study uses a sample of 1,071 online movies released on the iQiyi from July 2020 to July 2022. It uses OLS regression and instrumental variable method to examine the impact of various quality indicators on the viewership of online movies, as well as the moderating effect of price.
Findings
After conducting a thorough analysis of this study, it can be deduced that the varying impacts on online movie viewership are attributed to disparities in signal transmission costs. Specifically, star influence and rating exhibit a positive effect on the viewership of online movies, whereas the number of raters has a detrimental impact. Furthermore, there exists an “inverted U-shaped” relationship between the number of reviews and online movie viewership. Additionally, within the consumer decision-making process, both price-cost and price-quality relationships coexist. This is evident as prices negatively affect online movie viewership but positively moderate the relationship between rating, number of reviews and online movie viewership.
Originality/value
The research findings of this study offer valuable insights for online film producers to effectively leverage quality signals and pricing, thereby capturing market attention and enhancing film profitability.
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Mianzhi Yang, Qing Hui, Qingru Yang, Mengwei Fan and Xin Li
China has recently introduced a new audit law that aims to increase the scope of audit supervision and raise the standards for preventing risks in auditing national public…
Abstract
Purpose
China has recently introduced a new audit law that aims to increase the scope of audit supervision and raise the standards for preventing risks in auditing national public projects. This paper presents a systematic research study on the causes of audit risks in national public projects and discusses the process by which these causes contribute to the emergence of such risks. Furthermore, the paper investigates the core risk sources in various types of national construction project audit. This paper aims to provide theoretical support for auditors of national construction projects in risk avoidance when conducting audits.
Design/methodology/approach
In this study, the authors carefully selected five national public audit projects from China and performed a comprehensive analysis of 85 relevant audit documentation. The textual analysis was conducted using Nvivo12 software, and the grounded theory approach was adopted for generalization purposes.
Findings
Based on the research results, the findings suggest that there are five key causes contributing to the audit risk of national construction projects: professional competence, risk awareness, management capacity, level of attention and deliberate fraud. The most critical factor identified is management capability, with 59.93% of the data supporting this view. This conclusion was based on an analysis of state-owned enterprises, administrative organs and public institutions. Building upon this, a framework titled “the mechanism of audit risk factors with management capability as the core” was constructed.
Originality/value
This paper employs qualitative analysis methods to examine national construction projects in China, contributing new literature to the theoretical study of audit risk management. The article also provides practical recommendations for auditors on how to mitigate audit risks and improve the quality of audit services in national project governance.