Search results

As megaprojects bear extensive and profound social responsibilities throughout the project life cycle, formulating effective measures for improving construction enterprise social responsibility is key to project success. Given the current research is relatively lack of these measures, this study aims to formulate a meta-network framework to improve the megaproject social responsibility behaviour (MSRB) for construction enterprises.

First, this study implements literature review, expert interview and field investigation to identify the construction enterprise MSRB and its influencing factors. Second, this study evaluates the MSRB implementation level of the selected construction enterprises and proposes the above mentioned meta-network framework. Next, this meta-network is configured to reflect the impact of MSRB strategic adjustment. Last but not least, a real-world case study is carried out to validate this framework.

The best MSRB performance is always witnessed from the contractor group, followed by the project client group and the site supervisor group. The outcomes of implementing certain managerial strategies indicate that (1) social responsibility cognition is a critical factor for all the groups; (2) communication mechanism and normative pressure are the critical factors for clients; (3) coercive pressure is a critical factor for supervisors and (4) cultural cognitive pressure is a critical factor for clients and contractors.

The use of the framework in proactive assessment and management of MSRB can lead to effective strategies for construction enterprises to increase the efficiency and quality of projects.

From a psychosocial perspective, this study aims to understand the impact of psychosocial safety climate (PSC) on the intent to stay of construction workers and provides practical recommendations for construction enterprises to retain construction workers.

This study proposes the conceptual framework explained by the conservation of resources (COR) theory and develops a mediation model of “PSC – job satisfaction – intent to stay” within the framework supported by the stimulus–organism–response (SOR) model. Then, a questionnaire survey of 489 construction workers in Guangzhou was conducted and structural equation modeling (SEM) analysis was performed on the data collected.

Results show that PSC has a significant and positive effect on job satisfaction and intent to stay. In addition, job satisfaction partially mediates the effect of PSC on intent to stay. Hence, the theoretical model of “PSC – job satisfaction – intent to stay” has been empirically tested and supported.

This study is the first to investigate the effect of PSC on intent to stay and enriches the research on the retention of construction workers. The COR theory explains well the mechanism of PSC influence on intent to stay, thus expanding its application to the construction field. Moreover, this study provides practical recommendations for construction enterprises to retain workers so as to build a stable and productive workforce.

The alienation of megaproject environmental responsibility (MER) behavior is destructive, but its mechanism has not been clearly depicted. Based on fraud triangle theory and the fuzzy set qualitative comparative analysis (fsQCA) method, this study explored the combined effect of antecedent factors on alienation of MER behavior.

Based on the fraud triangle theory and literature review, eight influencing factors associated with the alienation of MER behavior were first identified. Subsequently, the fuzzy-set qualitative comparative analysis was used in this study to reveal configurations influencing alienation of MER behavior.

The study found nine configurations of MER behavioral alienation antecedent factors, integrated into three types of driving modes, i.e. “economic pressure + learning effect,” “institutional defect + moral rejection,” and “information asymmetry + economic pressure + expectation pressure.”

By analyzing the configuration effects of various induced conditions, this study puts forward a comprehensive analysis framework to solve the alienation of MER behavior in the megaprojects and a practical strategy to control alienation of MER behavior.

The purpose of this paper is to present a crack initiation mechanism of the external hydrogen effect on type 304 stainless steel, as well as on fatigue crack propagation in the presence of hydrogen gas.

The effects of external hydrogen on hydrogen-assisted crack initiation in type 304 stainless steel were discussed by performing fatigue crack growth rate and fatigue life tests in 5 MPa argon and hydrogen.

Hydrogen can reduce the incubation period of fatigue crack initiation of smooth fatigue specimens and greatly promote the fatigue crack growth rate during the subsequent fatigue cycle. During the fatigue cycle, hydrogen invades into matrix through the intrusion and extrusion and segregates at the boundaries of α′ martensite and austenite. As the fatigue cycle increased, hydrogen-induced cracks would initiate along the slip bands. The crack initiation progress would greatly accelerate in the presence of hydrogen.

To the best of the authors’ knowledge, this paper is an original work carried out by the authors on the hydrogen environment embrittlement of type 304 stainless steel. The effects of external hydrogen and argon were compared to provide understanding on the hydrogen-assisted crack initiation behaviors during cycle loading.

Although the facilitating role of green customer integration in business-to-business (B2B) markets has been highlighted in some green product innovation literature, analysis of the difficulties it can pose is still an underdeveloped field. This paper extends the conflict-based view and examines the effect of green customer integration on customer–firm conflicts and thereby investigates the influence of conflict on green product innovation.

This study conducts a questionnaire survey. Ordinary Least Square regression and structural equation model with Maximum Likelihood Estimation are applied to test the hypotheses.

The results show that green customer information integration is positively related to cognitive conflict, whereas green customer process integration has an inverted U-shaped relationship with cognitive conflict and a positive relationship with affective conflict. Moreover, green product innovation is promoted by cognitive conflict and is damaged by affective conflict.

This study highlights the conflict-related factors that play a role in firm–customer collaboration for green product innovation in B2B markets. It also reveals the potential dark side of green customer integration by explicitly delineating its effects on conflicts.

In recent Chinese history, rural villages have suffered extensive depopulation due to the intensive urbanisation of the country. In the early 1990s, the rediscovery of villages for tourism purposes caused a change in approach to conservation policies and village management. Today, villages are subjected to climate change with mass tourism as a contributing factor. The purpose of this paper is to evaluate whether the village community is climate change aware and to identify best practises for it.

In this case study, the authors adopted a visual research technique called Photovoice. It is a research method which combines preliminary data collection and initial analysis processes. The main goals of adopting Photovoice are to enable community members to record and reflect their community’s strengths and concerns, to promote dialogue and knowledge exchange among community members regarding critical local social or environmental issues through small group discussion, and to report to policymakers.

This research demonstrated that both visitors and hosts shared common thoughts on tourism interests, impacts and current actions regarding climate change. Age, level of education or origin did not interfere and it shows a common awareness regarding the effects of climate change. It confirms the structural assumption that local and expertise knowledge are complementary.

At a time when awareness of climate change is affecting almost every debate concerning development strategies, future planning, governance and action implementations, very little has been written on the climate change impact on villages from a community perspective. Even less has been researched on what are called “urban rural villages”, that are villages located at the close periphery of a large urban agglomerations or cities in China.

Despite substantial research attention on the business use of social media in innovation literature, the action-based mechanisms through which social media affect firms' product innovation remain unclear. We address this gap by drawing on the affordance theory and examining the effects of social media applications on product innovations.

The study was based on analyzing data collected through a questionnaire survey of Chinese firms. Partial least squares structural equation modeling was applied to test the hypotheses.

The results show that social media applications have a positive effect on marketing affordances (including customer behavior pattern discovery, real-time market response and marketing ambidexterity), in turn positively influencing product innovation performance. Organizational structures shape the actualization of the marketing affordance of social media; while organizational formalization positively moderates the relationships between social media application and marketing affordances, organizational centrality weakens these relationships.

Managers will benefit from understanding how social media can be applied to help their firms achieve product innovation. When manufacturing firms engage in social media for product innovation, they may find it worthwhile to focus on marketing actions such as customer behavior pattern discovery, real-time market response and marketing ambidexterity.

This study elucidates the action-based mechanism of marketing affordance by which social media usage improves product innovation performance. This study also highlights the design of organizational structure as an important approach to realizing the potential benefits of social media in product innovation.

The relationship between online reviews and purchase intention has been studied in previous research. However, there was little knowledge about the effect of information quality and the social presence of online reviews on purchase intention based on the stimulus-organism-response (S-O-R) framework. The purpose of this study is to explore the intrinsic relationship between the stimulus (perceived information quality and social presence) generated from online reviews and the response (purchase intention).

This study developed a research model by applying the S-O-R framework to test the proposed hypotheses. A combination of a web-based experiment and an online survey was employed to collect data. Hypotheses were empirically tested using Smart PLS.

The PLS analysis shows that both perceived information quality and the social presence of online reviews positively affect trust. Moreover, satisfaction with online reviews affects purchase intention, whereas trust has a positive impact on satisfaction, playing a mediating role between two stimuli and satisfaction. Besides, perceived information quality of positive online reviews is found to have a more significant impact on trust, satisfaction and purchase intention.

The results of this study are of great value for expanding both theoretical research and practical applications of online reviews in relation to purchase intention. This study with a new research model reveals the understanding of how the purchase intention will be motivated by online reviews. Meanwhile, the moderating effects and the mediating effects are also discussed.

Surface acoustic wave (SAW) sensors have attracted great attention worldwide for a variety of applications in measuring physical, chemical and biological parameters. However, stability has been one of the key issues which have limited their effective commercial applications. To fully understand this challenge of operation stability, this paper aims to systematically review mechanisms, stability issues and future challenges of SAW sensors for various applications.

This review paper starts with different types of SAWs, advantages and disadvantages of different types of SAW sensors and then the stability issues of SAW sensors. Subsequently, recent efforts made by researchers for improving working stability of SAW sensors are reviewed. Finally, it discusses the existing challenges and future prospects of SAW sensors in the rapidly growing Internet of Things-enabled application market.

A large number of scientific articles related to SAW technologies were found, and a number of opportunities for future researchers were identified. Over the past 20 years, SAW-related research has gained a growing interest of researchers. SAW sensors have attracted more and more researchers worldwide over the years, but the research topics of SAW sensor stability only own an extremely poor percentage in the total researc topics of SAWs or SAW sensors.

Although SAW sensors have been attracting researchers worldwide for decades, researchers mainly focused on the new materials and design strategies for SAW sensors to achieve good sensitivity and selectivity, and little work can be found on the stability issues of SAW sensors, which are so important for SAW sensor industries and one of the key factors to be mature products. Therefore, this paper systematically reviewed the SAW sensors from their fundamental mechanisms to stability issues and indicated their future challenges for various applications.

This study extends the literature on top management team (TMT) diversity and innovation by introducing entrepreneurial passion diversity as an important TMT affective component in determining firm innovation performance. This paper draws on the knowledge-based view and proposes that TMT passion diversity, in terms of intensity separation and focus variety, may hinder the process of knowledge creation, and, in turn, reduce firm innovation performance.

The authors conduct a questionnaire survey using a simple random sampling technique and collect data from 195 small- and medium-sized enterprises in China. Ordinary least squares regression and a structural equation model are applied to test the hypotheses.

This study finds that TMT passion intensity separation has a negative effect on firm innovation performance via knowledge exchange and knowledge combination. TMT passion focus variety has a negative effect on firm innovation performance via knowledge combination.

This study highlights the affective diversity of entrepreneurial passion in TMTs and clarifies the detrimental role of TMT entrepreneurial passion diversity in innovation and knowledge creation. It contributes new insights to the literature on TMT diversity, knowledge management and entrepreneurial passion.