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Despite smart construction technology's great potential to improve the productivity of the architectural, engineering and construction (AEC) industry, the implementation of smart construction technology has failed to achieve the expected benefits due to the negative usage behaviors of construction enterprise employees. This study aims to identify the determinants and their configuration effects on the smart construction technology usage behavior (SCTUB) based on the Technology-Organization-Environment (TOE) framework. This study then verifies the practical paths to improve the employee's SCTUB from the configuration perspective.

A mixed-method approach involving survey and qualitative comparative analysis (QCA) is conducted in this study. Based on the detailed literature review and semi-structured interview, this study identifies the factors and proposes the TOE framework to determine the configuration conditions affecting employee's SCTUB and verify practical paths to promote this user behavior.

The TOE framework's technical, organizational and environmental elements are interdependent. The emergence of a high SCTUB is not determined by a single determinant but by configuration conditions. Four equifinal conditions (e.g. organization-technology type, technology-organization type, environment type and organization-technology balanced type) are verified to promote construction enterprise employee's SCTUB.

The four verified configuration conditions could guide construction enterprises to formulate complementary strategies for promoting the construction enterprises' employees to implement smart construction technology and achieve the enterprise's digital transformation.

The inter-dependence of the three-dimension factors, namely technical, organizational and environmental elements are explored to enrich the literature on the TOE framework. Meanwhile, the configuration effects of these factors on usage behavior are identified, expanding the literature on the information technology acceptance model.

The purpose of this study is to explore the economic impact of financial restatements by major customers on the audit opinion of their suppliers, showing that non-financial information disclosure potentially helps auditors make better assessments.

Using a sample of China’s listed firms from 2007 to 2021, the authors aim to find the relationship between customers’ financial restatements and their suppliers’ audit opinions. Heckman selection model, placebo tests and other robustness checks are used as well.

The findings reveal that customers’ financial restatements have a significant effect on the likelihood of suppliers receiving modified audit opinions. This relationship is pronounced when suppliers face a higher level of financial constraints, exhibit poorer accounting conservatism or receive more negative media coverage. Additionally, this effect occurs through increased business risk and information risk, which heightens auditors’ perceived audit risk. Moreover, the study highlights the influence of switching costs, auditor expertise and restatement severity on this relationship.

Risks originating from customers can spread along the supply chain, emphasizing the necessity for auditors to give heightened attention to both the audited firms and their customer information. Moreover, regulators should carefully consider the important impact of customer information disclosures to maximize the protection of the interests of external information users.

This study not only confirms the crucial role of customer information disclosures in annual reports for stakeholders and auditors but also contributes to the existing literature on customer–supplier relationships.

This study aims to design a piezoelectric sensor with high performance transmitting and receiving functions, which is characterized by simple structure and multifunctionality.

In accordance with the binaural principle, a binaural-sensitive element is constructed with the middle module transmitting the signal and the left and right modules receiving the signal. The traditional 1-3-2 piezoelectric composite material is selected for the sensitive element of the transmitting module, while the improved 1-3-2 piezoelectric composite material is selected for the sensitive element of the receiving module. The impact of varying the thickness of the transmitting module on its resonance frequency and the influence of varying the thickness of the receiving module on its anti-resonance frequency were investigated through simulations conducted using ANSYS finite element software. This was done to ascertain the optimal thickness dimensions and operating frequencies for the binaural sensitive elements.

At last, binaural transducers were constructed and subjected to experimental evaluation within an anechoic chamber. The experimental results demonstrate that the operating frequency of both the transmitting and receiving modules is 150 kHz, the transmitting voltage response is 160 dB, and the receiving sensitivity of the “left ear” is −192 dB, and the receiving sensitivity of the “right ear” is −190 dB. The objective of achieving high-performance transmitting and receiving within the same frequency range has been met.

A binaural sensitive element is proposed to realize high-performance transmission and reception in the same frequency range.

The purpose of this paper is to systematically review the academic literature on non-governmental organizations’ (NGOs) role in sustainable supply chain management (SSCM) to develop a conceptual framework.

This paper conducts a systematic literature review through an analysis of 47 papers identified from peer-reviewed academic journals published from 2002 to 2020.

Adopting social movement theory and based on thematic findings, this paper proposes four steps and six propositions in the process of NGOs fostering SSCM. These include relative deprivation, political opportunities, resource mobilization and collective action, based on which we developed a conceptual framework regarding the role of NGOs in improving sustainability in supply chains. The proposed conceptual model opens a new avenue of research in NGO literature and several directions for further research.

This study may be the first to provide a systematic review of NGOs’ role in improving sustainability in supply chains. Moreover, by borrowing the social movement theory from sociology, this paper able to propose a new conceptual framework with a research agenda so as to deepen the understanding of the phenomenon and provide directions for future research.

The purpose of this paper is to target on designing a short-term load prediction framework that can accurately predict the cooling load of office buildings.

A feature selection scheme and stacking ensemble model to fulfill cooling load prediction task was proposed. Firstly, the abnormal data were identified by the data density estimation algorithm. Secondly, the crucial input features were clarified from three aspects (i.e. historical load information, time information and meteorological information). Thirdly, the stacking ensemble model combined long short-term memory network and light gradient boosting machine was utilized to predict the cooling load. Finally, the proposed framework performances by predicting cooling load of office buildings were verified with indicators.

The identified input features can improve the prediction performance. The prediction accuracy of the proposed model is preferable to the existing ones. The stacking ensemble model is robust to weather forecasting errors.

The stacking ensemble model was used to fulfill cooling load prediction task which can overcome the shortcomings of deep learning models. The input features of the model, which are less focused on in most studies, are taken as an important step in this paper.