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The purpose of this paper is to investigate coexistence of multiple distribution systems in property‐casualty (P/C) insurance industry in the USA.

Stochastic frontier analysis is used to measure cost and revenue efficiencies of P/C insurance companies utilizing different distribution systems.

Independent agent insurers are found to be cost inefficient compared to insurers with other distribution systems, but the independent agent insurers have better revenue efficiency compared to their long counterpart, the exclusive agent insurers. This study also documents that the direct writing system provides higher cost and revenue efficiencies than other distribution systems, although their efficiencies have been deteriorating during the same time period.

Future research could examine whether the findings change by measuring efficiencies with a non‐parametric method, i.e. data envelopment analysis.

A start‐up insurer should consider a direct writing system, which is most cost and revenue efficient.

This paper investigates efficiencies of insurers by four different distribution systems and tracks efficiency changes of insurers over 12‐year periods.

The deposition of particles onto a substrate during the cold spraying (CS) process relies on severe plastic deformation, so there are various micro-defects induced by insufficient deformation and severe crushing. To solve the problems, many post-treat techniques have been used to improving the quality by eliminating the micro-defects. This paper aims to help scholars and engineers in this field a better and systematic understand of CS technology by summarizing the post-treatment technologies that have been investigated recently years.

This review summarizes the types of micro-defects and introduces the effect of micro-defects on the properties of CS coating/additive manufactured, illustrates the post-treatment technologies and its effect on the microstructure and performances, and finally outlooks the future development trends of post-treatments for CS.

There are significant discoveries in post-treatment technology to change the performance of cold spray deposits. There are also many limitations for post-treatment methods, including improved performance and limitations of use. Thus, there is still a strong requirement for further improvement. Hybrid post-treatment may be a more ideal method, as it can eliminate more defects than a single method. The proposed ultrasonic impact treatment could be an alternative method, as it can densify and flatten the CS deposits.

It is the first time to reveal the influence factors on the performances of CS deposits from the perspective of microdefects, and proposed corresponding well targeted post-treatment methods, which is more instructive for improving the performances of CS deposits.

The development of e-grocery allows people to purchase food online and benefit from home delivery service. Nevertheless, a high rate of failed deliveries due to the customer’s absence causes significant loss of logistics efficiency, especially for perishable food. The purpose of this paper is to propose an innovative approach to use customer-related data to optimize e-grocery home delivery. The approach estimates the absence probability of a customer by mining electricity consumption data, in order to improve the success rate of delivery and optimize transportation.

The methodological approach consists of two stages: a data mining stage that estimates absence probabilities, and an optimization stage to optimize transportation.

Computational experiments reveal that the proposed approach could reduce the total travel distance by 3-20 percent, and theoretically increase the success rate of first-round delivery approximately by18-26 percent.

The proposed approach combines two attractive research streams on data mining and transportation planning to provide a solution for e-commerce logistics.

This study gives an insight to e-grocery retailers and carriers on how to use customer-related data to improve home delivery effectiveness and efficiency.

The proposed approach can be used to reduce environmental footprint generated by freight distribution in a city, and to improve customers’ experience on online shopping.

Being an experimental study, this work demonstrates the effectiveness of data-driven innovative solutions to e-grocery home delivery problem. The paper also provides a methodological approach to this line of research.

This research examines the lodging experience in the context of environmentally friendly hotels by discovering the underlying guest segments. A mixed-method approach is deployed, which first reveals three lodging experience dimensions entailing, functionality, hedonism and social responsibility via in-depth interviews. Subsequently, a questionnaire survey is conducted which gathers responses from 326 guests staying at seven certified green hotels. A cluster analysis based on green lodging experiences is performed that evokes three distinct guest segments labeled as (1) spontaneous guests, (2) active guests, and (3) devoted guests. The study notes that social responsibility is the most important lodging experience across the three resultant segments. The study also finds about 31% of respondents tend not to pay much attention to green lodging operations. It leads to a suggestion that the implementation of green operations may be accomplished in a way not notably compromising certain service expectations by those not profusely aspiring of the notion of green operations. Even though meeting the needs of core customers is a vital task.

The main objective of this article is to visualize the structure and trends of pro-environmental behavior (PEB) between 1999 and 2023 through mapping and in-depth analysis. The aim is to analyze PEB, which has received considerable academic attention in recent years due to its key role in the conservation of the environment and the protection of local communities in tourist destinations. This paper provides an important summary of the recent research that has explored the role that tourists have in protecting the environment through PEB.

This study presents a visual analysis of 2005 scholarly articles between the years 1999 and 2023 related to PEB. Using the knowledge mapping based on VOSviewer it presents the current status of research, which includes the analysis of citation analysis, co-citation analysis, co-citation network and longitudinal analysis.

PEB is an emerging topic due to its relevance to protecting the environment in the context of travel. The citation and co-citation analysis show the relevance of the behavior of tourists with regard to protecting the environment. The co-word analysis highlights the current significance of research concerning green hotels and the destination image of environmentally responsible destinations.

This study sheds light on the current research progress of PEB in the context of tourism through a comprehensive analysis (citation, co-citation and co-word). In addition, we provide theories and factors that have been previously used to study PEB in the context of tourism. The findings contribute to a broad and diverse understanding of the concept of PEB, which can provide important insights for policymakers in formulating management strategies and policies aimed at reducing environmental impacts in destinations.

The purpose of this paper is to use the most popular deep learning algorithm to complete the vehicle detection in the urban area of MiniSAR image, and provide reliable means for ground monitoring.

An accurate detector called the rotation region-based convolution neural networks (CNN) with multilayer fusion and multidimensional attention (M2R-Net) is proposed in this paper. Specifically, M2R-Net adopts the multilayer feature fusion strategy to extract feature maps with more extensive information. Next, the authors implement the multidimensional attention network to highlight target areas. Furthermore, a novel balanced sampling strategy for hard and easy positive-negative samples and a global balanced loss function are applied to deal with spatial imbalance and objective imbalance. Finally, rotation anchors are used to predict and calibrate the minimum circumscribed rectangle of vehicles.

By analyzing many groups of experiments, the validity and universality of the proposed model are verified. More importantly, comparisons with SSD, LRTDet, RFCN, DFPN, CMF-RCNN, R3Det, SCRDet demonstrate that M2R-Net has state-of-the-art detection performance.

The progress in the field of MiniSAR application has been slow due to strong speckle noise, phase error, complex environments and a low signal-to-noise ratio. In addition, four kinds of imbalances, i.e. spatial imbalance, scale imbalance, class imbalance and objective imbalance, in object detection based on the CNN greatly inhibit the optimization of detection performance.

This research can not only enrich the means of daily traffic monitoring but also be used for enemy intelligence reconnaissance in wartime.

This study aims to investigate the intentions of individuals’ monetary charity during the COVID-19 crisis in Kuwait. The new conditions of COVID-19 enhanced both the theoretical as well as empirical importance of understanding how charities canalize monetary donations toward those in need.

An initial framework is developed based on the theory of planned behavior (TPB) to conceptualize how an individual’s intention of donating money to charitable organizations is realized in their behaviors. A cross-sectional study of 276 donors is conducted.

Explained variance gained is 0.73% suggesting that during the pandemic, donors are financially able to donate and prioritize easily accessible channels to transfer monetary charity. Donor attitudes towards charitable organizations were found to be insignificant regardless of the mismanagement reported.

This study importantly discusses public behavior toward charities during the pandemic and suggests policies for managing such charities during a pandemic for optimizing their effectiveness.

This paper used a contemporary context to measure behavioral intentions including attitude (attitude toward making a financial donation, attitude toward charitable organizations and the attitude toward helping others), perceived behavioral control, descriptive norms, moral norms, injunctive/prescriptive norms and past behavior and thus enhance the empirical base of the TPB.

This study aims to investigate the vibration effects on ball grid array lifetime.

Several finite element method simulations and experiments were performed.

An optimized circuit configuration was found.

The originality of paper is confirmed by authors.

The purpose of this paper is to address the overarching question, which was whether the incentives programmes formulated for the community have been found to be suitable to the aspirations and needs of the local residents.

This study has resulted from the authors’ experience through conducting a survey with the local residents in three locations, namely the Bukchon Hanok Village located at Seoul metropolitan city; the Hahoe Village, Angdong and the Yangdong Village, Gyeongju; both the latter are located towards the west of the Korean peninsula in the Gyeongbuk-do Province. This study has hopefully tried to analyse the residents’ perception of the effectiveness of the current incentives policy by using the Bennett’s programme evaluation method.

Results show that there was a divergent direction between the current incentives policy and the local aspirations between sites. In most cases, the cultural heritage conservation has been found to be a catalyst to fulfil a heritage tourism advantage rather than to cater to the local community needs.

The paper is the first insightful study of the historic villages which attempts to draw out the importance of the effectiveness of the incentives programme in guiding the conservation efforts for the local economic development.