Search results

The purpose of this paper is to investigate the impact of design features in in-feed advertising on its effectiveness. Previous research on various forms of advertising has demonstrated that design features can influence advertising effectiveness. However, given the distinct presentation mode and content of in-feed advertising compared to traditional forms, it is crucial to examine whether the effects of design features differ for this type of advertising. Through two studies, we examined how five specific design features affect consumers' purchase intention within the context of in-feed advertising. The mediating role of perceived value and the moderating role of product involvement are also proved.

Using the methods of online survey and online experiment, the author conducted two empirical studies. In study 2, the authors adopted the orthogonal array design to simplify experimental grouping.

The findings demonstrate that akin to conventional Internet advertising, the informational content, credibility and entertainment value of in-feed advertising exert a positive influence on its efficacy. Notably, the interactive nature of in-feed advertising significantly enhances users' inclination toward making purchases. Conversely, any form of interference can detrimentally impact its utility.

The study demonstrates five design characteristics that may impact the effectiveness of in-feed advertising, expanding the relevant theories about in-feed advertising. At the same time, this study contributes to the understanding of consumer responses to advertising. However, the two studies in this paper are conducted within the framework of WeChat, a popular Chinese social media platform, with the participants consisting exclusively of Chinese users.

Considering the rapid development of in-feed advertising in terms of quantity, content and form, the author believes that the results of this paper can help advertisers in their design thinking. The moderating effect of product involvement can be applied to optimize personalized advertising delivery schemes.

This paper focuses on a practical problem, that is, how to improve the effectiveness of in-feed advertising by modifying advertising design features.

This study aims to analyse the role of work–life balance (WLB) experiences and job satisfaction on turnover intentions (TI) among nurses working in private sector hospitals.

The research followed the analytical research design with a self-administered questionnaire survey using a five-point Likert scale. Responses from 386 nurses working in different positions in private sector hospitals were collected. The collected data were examined using descriptive and inferential statistics using structural equation modelling. Data validation, path coefficient analysis and a mediation effect test were conducted using Smart PLS 4 with a 5% significance level. WLB was examined with three dimensions: work interference with personal life, personal life interference with work and work–personal life enhancement.

The study established a significant relationship between personal life interference with work and work–personal life enhancement with job satisfaction. Also, the result revealed a significant negative relationship between interferences of WLB and TI. The study also established a partial and full mediation of job satisfaction about two WLB dimensions with TI.

This research suggests emphasizing WLB and job satisfaction to discourage TI. This research can be used by managers and policymakers alike to improve the scenario and take measures accordingly. This study also provides theoretical implications based on the boundary theory.

The purpose of this paper is to present an up-to-date survey on the non-orthogonal multiple access (NOMA) technique with co-operative strategy, a fast-evolving fifth-generation (5 G) technology. NOMA is used for serving many mobile users, both in power and code domains. This paper considers the power-domain NOMA, which is now discussed as NOMA.

The first part of the paper discusses NOMA-based cooperative relay systems using different relay strategies over different channel models. In various research works, the analytical expressions of many performance metrics were derived, measured and simulated for better performance of the NOMA systems. In the second part, a brief introduction to diversity techniques is discussed. The multiple input and multiple output system merged with cooperative NOMA technology, and its future challenges were also presented in this part. In the third part, the paper surveys some new conceptions such as cognitive radio, index modulation multiple access, space-shift keying and reconfigurable intelligent surface that can be combined with NOMA systems for better performance.

The paper presents a brief survey of diverse research projects being carried out in the field of NOMA. The paper also surveyed two different relaying strategies that were implemented in cooperative NOMA over different channels and compared several performance parameters that were evaluated and derived in these implementations.

The paper provides a scope for recognizable future work and presents a brief idea of the new techniques that can be united with NOMA for better performance in wireless systems.

The purpose of this study is to investigate the complexity of how demands and stress are mitigated to enhance employee performance in remote working arrangements.

A time-lagged snowball sample of 223 full-time remote working adults in the United States participated in an online survey. Data were analyzed using R 4.0.2 and structural equation modeling.

Results suggest remote job resources involving organizational trust and work flexibility increase performance via serial mediation when considering information communication technology (ICT) demands and work–life interference (WLI). The findings provide insights into counterbalancing the negative aspects of specific demands and stress in remote work arrangements.

This study provides insights for managers to understand how basic job resources may shape perspectives on demands and WLI to impact performance. Specific to remote working arrangements, establishing trust with the employees and promoting accountability with their work flexibility can play an important part in people and their performance.

This study contributes theoretically to the literature by evidencing how components of the E-Work Life (EWL) scale can be used with greater versatility beyond the original composite measurement because of the job-demand resource (JD-R) framework and conservation of resources theory (COR). This study answers several calls by research to investigate how ICT demands and WLI play a complex role in work performance.

Traditional visual simultaneous localization and mapping (SLAM) systems are primarily based on the assumption that the environment is static, which makes them struggle with the interference caused by dynamic objects in complex industrial production environments. This paper aims to improve the stability of visual SLAM in complex dynamic environments through semantic segmentation and its optimization.

This paper proposes a real-time visual SLAM system for complex dynamic environments based on YOLOv5s semantic segmentation, named YLS-SLAM. The system combines semantic segmentation results and the boundary semantic enhancement algorithm. By recognizing and completing the semantic masks of dynamic objects from coarse to fine, it effectively eliminates the interference of dynamic feature points on the pose estimation and enhances the retention and extraction of prominent features in the background, thereby achieving stable operation of the system in complex dynamic environments.

Experiments on the Technische Universität München and Bonn data sets show that, under monocular and Red, Green, Blue - Depth modes, the localization accuracy of YLS-SLAM is significantly better than existing advanced dynamic SLAM methods, effectively improving the robustness of visual SLAM. Additionally, the authors also conducted tests using a monocular camera in a real industrial production environment, successfully validating its effectiveness and application potential in complex dynamic environment.

This paper combines semantic segmentation algorithms with boundary semantic enhancement algorithms to effectively achieve precise removal of dynamic objects and their edges, while ensuring the system's real-time performance, offering significant application value.

In the field of steel defect detection, the existing detection algorithms struggle to achieve a satisfactory balance between detection accuracy, computational cost and inference speed due to the interference from complex background information, the variety of defect types and significant variations in defect morphology. To solve this problem, this paper aims to propose an efficient detector based on multi-scale information extraction (MSI-YOLO), which uses YOLOv8s as the baseline model.

First, the authors introduce an efficient multi-scale convolution with different-sized convolution kernels, which enables the feature extraction network to accommodate significant variations in defect morphology. Furthermore, the authors introduce the channel prior convolutional attention mechanism, which allows the network to focus on defect areas and ignore complex background interference. Considering the lightweight design and accuracy improvement, the authors introduce a more lightweight feature fusion network (Slim-neck) to improve the fusion effect of feature maps.

MSI-YOLO achieves 79.9% mean average precision on the public data set Northeastern University (NEU)-DET, with a model size of only 19.0 MB and an frames per second of 62.5. Compared with other state-of-the-art detectors, MSI-YOLO greatly improves the recognition accuracy and has significant advantages in computational cost and inference speed. Additionally, the strong generalization ability of MSI-YOLO is verified on the collected industrial site steel data set.

This paper proposes an efficient steel defect detector with high accuracy, low computational cost, excellent detection speed and strong generalization ability, which is more valuable for practical applications in resource-limited industrial production.

To solve the problem that the underwater vehicles is difficult to turn and exit in a small range in the face of complex marine environment such as concave and ring under the limitation of its limitation of its shape and maximum steering angle, this paper aims to propose an improved ant colony algorithm based on trap filling strategy and energy consumption constraint strategy.

Firstly, on the basis of searching the global path, the disturbed terrain was pre-filled in the complex marine environments. Based on the energy constraint strategy, the ant colony algorithm was improved to make the search path of the underwater vehicle meet the requirements of the lowest energy consumption and the shortest path in the complex obstacle environment.

The simulation results showed that the modified grid environment diagram effectively reduced the redundancy search and improved the optimization efficiency. Aiming at the problem of “the shortest distance is not the lowest energy consumption” in the traditional path optimization algorithm, the energy consumption level was reduced by 26.41% after increasing the energy consumption constraint, although the path length and the number of inflection points were slightly higher than the shortest path constraint, which was more conducive to the navigation of underwater vehicles.

The method proposed in this paper is not only suitable for trajectory planning of underwater robots but also suitable for trajectory planning of land robots.

This study aims to present the experiences with self-determination and taking ownership of life in Sudbury model schools that allow students true choice.

For this qualitative study we used a thematic analysis (TA) methodology. The study is based on semi-structured interviews with 14 adult participants from eight different Sudbury model and comparable schools in the Netherlands, Israel and the US. These schools offered students real choice in the curriculum program. Transcripts were analyzed and corresponding meanings thematized. Self-determination theory (SDT) is used as a lens to interpret the findings.

The findings suggest that an organizational structure that supports own responsibility in an absence of an imposed program and a culture of no-interference creates conditions for taking ownership of life and choices (self-determination) and encompasses taking ownership of learning, education and one’s future. Taking ownership of one’s life seems to be related to strongly internally oriented processes with an internal locus of causality, to find their own motivation and taking responsibility for choices, behavior and consequences in a SDT need supportive social context.

This study is part of a larger research that addressed multiple facets of their experiences with their schools to understand the longer-term effects these schools had on the adult lives of participants. This limits the scope of this paper to only explore the conditions that led to the mental state of “taking ownership of one’s life.”

Conditions that can lead to long-term self-determination of one's life and future in a school setting is an unexplored area of research.

The experience of working from home, which people had to deal with in the aftermath of the global pandemic crisis, was a test of resilience and does not necessarily have to be analysed in a negative light. In this sense, this study aims to analyse the impact of the perceived schedule flexibility, in the context of telework, on stress and satisfaction with family life among academic staff. To this end, a model was implemented to analyse the mediation role of family–work conflict.

Data was collected from 248 questionnaires presented to educators and office staff at universities when teleworking was initiated due to the pandemic confinement. Structural equation analysis was designed to test the study hypotheses.

By applying a model which uses the effect of mediation of the family–work conflict, the results revealed that the perception of flexibility resulting from telework influences stress at work, as well as satisfaction with family life among academic staff.

There is a need to study the conditions required in the implementation of telework. This study is specifically intended to deepen some of the findings of previous studies in this area and to provide a greater understanding of how perceived flexibility can contribute to a decrease in stress and higher levels of satisfaction by reducing family interference with work.

This study aims to investigate stakeholders' perception of the most prevalent unethical practices in the Ghanaian construction industry.

Data used for this study came from a cross-sectional survey (questionnaire), which was administered to 273 stakeholders in the construction industry using convenience sampling technique. The data were analyzed using statistical software package SPSSv17 to determine the most prevalent unethical practices. The ranking factor was calculated based on relative importance index (RII) value.

The results of this study reveal that corruption was perceived by major stakeholders as the most prevalent unethical behavior (RII = 0.82) followed by bribery (RII = 0.79). Political interference and kickback came third (RII = 0.77) and fourth (RII = 0.74), respectively. However, the least prevalent unethical behaviors were extortion (RII = 0.56), workplace violence (RII = 0.57), alcohol abuse (RII = 0.59) and harassment (RII = 0.59). The findings suggest that when the various groupings were taken into consideration separately, the differences in their perceptions were obvious.

Data for this study were collected from construction stakeholders in Ghana who were conveniently sampled. As a result, in reference to the sampling framework which focused on major stakeholders in only two regions of Ghana does not sufficiently ensure full generalization of the results.

The findings of the study provide significant information for construction organizations and practitioners regarding unethical practices, which are most prevalent in the Ghanaian construction industry. Construction organizations and practitioners seeking to mitigate the negative effect of unethical practices on their performance should focus on educating construction workers on how to avoid corrupt practices and report same to the authorities. Also, ethics training programs must be instituted for staff coupled with constant and random inspection and checking of ethical compliance, verbal promotion and praise for ethical conduct and in some cases increase in employees pay.

This paper is one of the first to have accessed the views of broader stakeholders, i.e. consultants, contractors, professionals, suppliers, regulators, clients and construction workers in the construction industry regarding the most prevalent unethical practices in the Ghanaian construction industry in one study. This study, therefore, enriches the current literature by providing additional dimension to the understanding of unethical practices in the Ghanaian construction industry.