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To obtain a general opinion concerning the implementation of quality management systems (QMS) of construction‐related firms in the USA and Hong Kong, and to determine whether construction‐related firms have ever made an effort to measure quality improvement.

Two questionnaire surveys, one in the USA and one in Hong Kong, were conducted by sending out questionnaires to construction‐related companies. The surveys were then followed by 15 in‐depth, semi‐structured interviews with top management and quality managers of construction‐related firms in both the USA and Hong Kong.

The results of the study indicate that different perceptions towards the implementation of formal quality management systems existed between the two places. Mainly due to the lack of initiative and promotion from both clients and governments, construction companies in the USA have failed to see the need to obtain the ISO 9000 certification. In Hong Kong, however, the government's initiatives have resulted in a high percentage of companies having certified to the ISO 9000 standards. The results of the study also indicate that, though most companies used different tools for quality measurements, such measurements were mainly for monitoring and for recording purposes.

This is the first time that such a rigorous comparative study of quality management systems in the construction companies of two different countries has been conducted. It provides useful and practical insights into the differences and similarities between US and Hong Kong construction industries. This paper should be extremely valuable to practitioners in both countries, particularly the USA.

Construction resources are often limited, and there is a need to ensure resources are carefully allocated to avoid resource wastage and/or project delay. While mathematical and heuristic models were developed to resolve the conflicts between activities, none of them has been proven to be totally satisfactory. The aim of this paper is to explore this.

In this paper, a novel heuristic method known as a pull‐driven approach (PDA) is proposed; and this approach encourages a lean consideration of resource supply and partnering between activities. Two case studies are presented to illustrate how PDA can be applied. A comparison with another heuristic approach, namely the ranked positional weight method is conducted to illustrate the efficiency of the proposed approach.

Using the PDA approach, all the activities strive to find matching partners to pull resources to their sides. The resources are, therefore, no longer passively pushed to a single activity with high ranking but a combination of activities that can demonstrate their superiority in resource utilisation will actively win the necessary resources.

This approach has an ability to deal with intermittent activities and locate the lean (no‐waste) supply level of each resource.

Project managers work to ensure successful project completion within the shortest period and at the lowest cost. One of the main tasks of a project manager in the planning phase is to generate the project time–cost curve, and furthermore, to determine the most appropriate schedule for the construction process. Numerous existing time–cost tradeoff analysis models have focused on solving a simple project representation without regarding for typical activity and project characteristics. This study aims to present a novel approach called “multiple-objective social group optimization” (MOSGO) for optimizing time–cost decisions in generalized construction projects.

In this paper, a novel MOGSO to mimic the time–cost tradeoff problem in generalized construction projects is proposed. The MOSGO has slightly modified the mechanism operation from the original algorithm to be a free-parameter algorithm and to enhance the exploring and exploiting balance in an optimization algorithm. The evidential reasoning technique is used to rank the global optimal obtained non-dominated solutions to help decision makers reach a single compromise solution.

Two case studies of real construction projects were investigated and the performance of MOSGO was compared to those of widely considered multiple-objective evolutionary algorithms. The comparison results indicated that the MOSGO approach is a powerful, efficient and effective tool in finding the time–cost curve. In addition, the multi-criteria decision-making approaches were applied to identify the best schedule for project implementation.

Accordingly, the first major practical contribution of the present research is that it provides a tool for handling real-world construction projects by considering all types of construction project. The second important implication of this study derives from research finding on the hybridization multiple-objective and multi-criteria techniques to help project managers in facilitating the time–cost tradeoff (TCT) problems easily. The third implication stems from the wide-range application of the proposed model TCT.

The model can be used in early stages of the construction process to help project managers in selecting an appropriate plan for whole project lifecycle.

The proposal model can be applied to multi-objective contexts in diversified fields. Moreover, the model is also a useful reference for future research.

This paper makes contributions to extant literature by: introducing a method for making TCT models applicable to actual projects by considering general activity precedence relations; developing a novel MOSGO algorithm to solving TCT problems in multi-objective context by a single simulation; and facilitating the TCT problems to project managers by using multi-criteria decision-making approaches.

The purpose of this paper is to introduce error ellipse into the bootstrap method to improve the reliability of small samples and the credibility of the S-N curve.

Based on the bootstrap method and the reliability of the original samples, two error ellipse models are proposed. The error ellipse model reasonably predicts that the discrete law of expanded virtual samples obeys two-dimensional normal distribution.

By comparing parameters obtained by the bootstrap method, improved bootstrap method (normal distribution) and error ellipse methods, it is found that the error ellipse method achieves the expansion of sampling range and shortens the confidence interval, which improves the accuracy of the estimation of parameters with small samples. Through case analysis, it is proved that the tangent error ellipse method is feasible, and the series of S-N curves is reasonable by the tangent error ellipse method.

The error ellipse methods can lay a technical foundation for life prediction of products and have a progressive significance for the quality evaluation of products.

This study aims to propose an improved affine interval truncation algorithm to restrain interval extension for interval function.

To reduce the occurrence times of related variables in interval function, the processing method of interval operation sequence is proposed.

The interval variable is evenly divided into several subintervals based on correlation analysis of interval variables. The interval function value is modified by the interval truncation method to restrain larger estimation of interval operation results.

Through several uncertain displacement response engineering examples, the effectiveness and applicability of the proposed algorithm are verified by comparing with interval method and optimization algorithm.

This study aims to explore how the local tour guides (LTGs) operate through the sharing economy platform. This study explores how LTGs have responded to the COVID-19 pandemic restrictions using self-efficacy and other resources to improve resilience and performance. This study also delineates the working mechanisms of peer-to-peer (P2P) platform-enabled, dynamic capability building processes, in the tourism sharing economy.

This research adopted an interpretive approach to understand the focal phenomenon using two types of data. A total of 40 semi-structured interviews with LTGs and 26,478 online tourist reviews from tour guide service participants’ before and during the COVID-19 pandemic were used.

The findings of this study revealed that LTGs used sharing economy platforms to arrange flexible tour guide services. Resilience emerged through dynamic capability that addressed contextual factors in real time. LTGs coordinated different resources and customers during a time of uncertainty. Different sources of self-efficacy and types of dynamic capability were identified. The interplay between LTGs’ self-efficacy and dynamic capability was also delineated.

The findings provide guidance for LTGs on P2P platforms and other sharing economy sectors on how diverse resources enabled by the sharing economy can enhance resilience during times of uncertainty. LTGs that engage with contextual information and are dynamic can adopt itineraries and services that will benefit tourists and their business.

This study contributes to the sharing economy literature by theorizing the working flow that enables LTGs to exert self-efficacy and leverage dynamic capability on P2P platforms. This study also contributes by linking resilience to contextual factors in real time. The outcomes provide guidance for LTGs to remain competitive and establish resilience in uncertain environments.

The purpose of this study intends to examine the influence of green human resource management (GHRM) on green service behaviors through the mediating effect of green knowledge sharing based on bank employees' perceptions.

The study analyzes 365 frontline employees' perceptions from the banking industry in Bangladesh using partial least square.

The findings show a significant positive direct influence of GHRM on green in-role, extra-role service behavior and green knowledge sharing. Green knowledge sharing is also found to have a significant mediating effect between GHRM and green service behaviors.

This study considers perceptions of employees of the private commercial banking organizations, and thereby, its findings cannot be generalized for all other service organizations in the context of Bangladesh.

The study demonstrates that GHRM can influence employees' green service behaviors via green knowledge sharing.

Green banking is an emerging trend that deserves more attention. There is growing recognition that green banking is not an “automatic” process but requires that banking management promote green service behavior among their employees. This study extends the research on GHRM by focusing on how it impacts green service behavior through the mediating role of green knowledge sharing. The paper provides practical insights for organizations looking to improve green service behaviors among employees.

Maintaining the safety of the human is a major concern in factories where humans co-exist with robots and other physical tools. Typically, the area around the robots is monitored using lasers. However, lasers cannot distinguish between human and non-human objects in the robot’s path. Stopping or slowing down the robot when non-human objects approach is unproductive. This research contribution addresses that inefficiency by showing how computer-vision techniques can be used instead of lasers which improve up-time of the robot.

A computer-vision safety system is presented. Image segmentation, 3D point clouds, face recognition, hand gesture recognition, speed and trajectory tracking and a digital twin are used. Using speed and separation, the robot’s speed is controlled based on the nearest location of humans accurate to their body shape. The computer-vision safety system is compared to a traditional laser measure. The system is evaluated in a controlled test, and in the field.

Computer-vision and lasers are shown to be equivalent by a measure of relationship and measure of agreement. R² is given as 0.999983. The two methods are systematically producing similar results, as the bias is close to zero, at 0.060 mm. Using Bland–Altman analysis, 95% of the differences lie within the limits of maximum acceptable differences.

In this paper an original model for future computer-vision safety systems is described which is equivalent to existing laser systems, identifies and adapts to particular humans and reduces the need to slow and stop systems thereby improving efficiency. The implication is that computer-vision can be used to substitute lasers and permit adaptive robotic control in human–robot collaboration systems.

The purpose of this study is to understand the effects of building components of a growing concrete structure and different building materials such as glass and steel on Wi-Fi signals propagation in a construction site. Wireless local area networks are considered effective tools to link the islands-of-communication in construction. Still, designing a Wi-Fi network that can grow with a new construction requires that one understands the performance of propagation of electromagnetic signals transmitted at 2.4 GHz.

This paper reviews the theoretical behavior of electromagnetic signals when signal attenuation is caused by various construction materials changing their strengths, directions and possibly leading to total absorption. The authors used a typical building layout to conduct experimental work to measure the effect of common building features and communication technologies on signal strengths.

The measured data not only confirmed the theory-based predictions but also demonstrated the complexity of predicting signal propagation when obstructions inhibit the line-of-sight “travel” of electromagnetic signals.

Different to other papers, the experiments were conducted outside a concrete building mimicking the situation where the transmitter is set up at the site office.

This paper aims to answer questions pertinent to whether or not services provided by smart hotels are really what customers are looking for, as well as to ascertain what are some unintended experiences guests may encounter. In essence, to the best of the authors’ knowledge, this research is the first in the field to acknowledge the paradox of smart service.

This inquiry adopts a qualitative approach with data-driven from online customer reviews and semistructured interviews. Thematic analysis was undertaken to interpret review comments.

Results point to a new phenomenon, which is coined as the smartness paradox. In particular, customers on one hand enjoy an array of smart-infused experiences that jointly offer patrons a sense of a futuristic lifestyle. On the other hand, smart devices superimpose a number of hindrances that bring guests dismay and annoyance.

This investigation brings smart service failure to the fore to highlight several key failure themes that could jeopardize the entire operation with debased customers’ satisfaction and loyalty inclination.

The smartness-paradox framework used in the present inquiry entails both approach and avoidance consequences customers enact depending on their smart experiences.