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Challenges and opportunities arise from the significantly different perspectives of context-specific versus context-free researchers and the literatures they contribute to. Reviews of one type or the other or both types of literatures may provide different understandings of the state of the art in a particular area of health care management. Suggestions for writing quality reviews are also included along with suggested topics for future reviews.

Absence of Health and Safety (H&S) induction training can expose workers to construction hazards and risks. To protect workers, construction organisations provide site H&S induction training. This training is used in the construction industry to train workers on organisation, project and client H&S practices and rules. While researchers have recognised its role in creating worker awareness, developing H&S culture and influencing accident rate, but there has been little research. Furthermore, there lacks a review that identifies the research trends, research focus and future research directions on H&S induction training in the construction industry. This study aims to review literature on H&S induction training in the construction industry.

Scopus, Web of Science, Science Direct and Google Scholar databases were used to identify articles. Initial search produced a total of 278 papers and final analysis resulted in ten articles. Content analysis was applied.

The identified three contributions to knowledge: (a) identifies specific trajectory or development trends of H&S induction training in the construction industry (three research areas were identified, namely, impact of H&S induction training on H&S culture, impact of H&S induction training on accident rate and barriers affecting supervisor’s skills and ability to conducting H&S induction training), (b) suggestions have been given on the contribution of H&S induction training to H&S culture and (c) future research directions have been proposed. The review provides knowledge that the contribution of H&S induction training to H&S culture is influenced by skills, knowledge and experience of presenter, language used, content covered, mode of delivery, technological tools used, type of assessment and duration.

The review is limited to studies related to H&S induction training in the construction industry. Other safety training studies and industries could have provided different findings. The review is limited to 2012 and 2022 and to ten articles.

Understanding the role of H&S induction training to worker behaviour, H&S culture and outcomes will improve H&S practices and standards within the construction industry. Construction organisations can consider the factors identified in this study to improve the effectiveness of H&S induction training.

Understanding the contribution of H&S induction training to H&S culture may help to improve H&S culture.

The study has identified three main research areas and future research directions. It further revealed the factors that researchers, practitioners and policy makers can consider to improve the effectiveness of H&S induction training in the construction industry.

This systematic review (SR) aims to evaluate and summarize the effectiveness of using eye movement desensitization and reprocessing (EMDR) intervention among individuals diagnosed with post-traumatic stress disorder (PTSD), as well as to highlight the standardized EMDR-based interventional protocol.

This SR is guided according to preferred reporting items for SRs and meta-analyses standards. Several online databases were used in searching for eligible studies in peer-reviewed journals relevant to the study keywords. The included studies were SRs and clinical trials that used EMDR interventions among patients experiencing PTSD symptoms, older than 18 years and were published in English language from 2015 to 2022. Three researchers independently contributed to study selections, data extraction and study evaluations from different aspects, including quality assessment, risk of bias and study synthesis.

A total of eight published studies met the inclusion criteria and were included in this SR; four articles were randomized controlled trials and four were SR and meta-analysis studies. In all included studies, the EMDR was used as a primary psychotherapy intervention for PTSD symptoms. The results of this extensive and comprehensive review showed that EMDR is an effective psychotherapeutic intervention to reduce and control the severity of symptoms among individuals with PTSD.

It is important to acknowledge several limitations inherent in this study. First and foremost, it is noteworthy to mention that only studies conducted in the English language were included in this review, potentially restricting the overall scope and diversity of the findings. Furthermore, the number of studies incorporated into this review was limited, which may have implications for the comprehensiveness and generalizability of the results. Finally, it is worth noting that certain studies within this review had a relatively small sample size, which could potentially limit the statistical power and precision of the conclusions drawn.

This paper, a review of the literature, gives an overview of EMDR effectiveness, provides baseline information and plays a significant role in decreasing the gap in Jordanian literature regarding using EMDR as the strongest evident psychotherapy approach for PTSD treatment to help psychiatrists, psychologists and psychiatric nurses in the health-care sectors to design comprehensive strategies to enhance and improve the quality of health care and patients’ status.

EMDR intervention offers significant alternative treatment opportunities for individuals suffering from PTSD, depression and anxiety. The implementation of EMDR for depression, anxiety and PTSD improves patient outcomes as compared to standard therapeutic modalities in PTSD.

This SR gives an overview and explains strong supportive evidence for the effectiveness of EMDR interventions among individuals with PTSD. Therefore, EMDR therapy could be assumed as one standard treatment option for PTSD, aiming at reducing treatment duration and cost of treatment and restoring the mental well-being and functionality of those suffering from PTSD.

The primary aim of this paper is to illuminate the critical issue of the degree awarding gap in the UK, which significantly impacts students from lower socio-economic backgrounds and minority groups. By conducting a systematic review of existing literature following the PRISMA protocol, this study seeks to uncover the complex web of explanatory factors that mediate the relationship between contextual indicators, institutional culture, and degree awarding disparities. Addressing this gap is vital for promoting social justice, enhancing the economy, safeguarding the reputation of UK universities, and adhering to legal responsibilities. This paper endeavours to provide a comprehensive understanding of the underlying causes of degree awarding gaps and offer evidence-based recommendations for the higher education sector to mitigate these disparities.

This study employs a systematic review design, adhering to the PRISMA protocol, to meticulously analyse the existing body of literature concerning the degree awarding gap in UK higher education. By systematically gathering, evaluating, and synthesizing relevant studies, the review aims to identify and understand the multifaceted factors mediating the link between contextual indicators, institutional culture, and the disparities observed in degree awarding. This methodological approach ensures a rigorous and transparent examination of the literature, enabling the identification of both the breadth and depth of research on the topic. Through this design, the paper aspires to uncover nuanced insights into the mechanisms driving degree awarding gaps.

The review’s findings reveal that degree awarding gaps in UK universities are influenced by a constellation of factors, highlighting the complexity of this issue. Key among these are unconscious bias, limited student engagement opportunities with academic staff, institutional racism, inadequate support systems, and a scarcity of social and cultural capital. These factors collectively contribute to significant disparities in degree outcomes, disproportionately disadvantaging students from lower socio-economic backgrounds and minority groups. The evidence suggests that institutional practices and culture play a pivotal role in either exacerbating or alleviating these disparities, indicating the need for targeted interventions to address the root causes of degree awarding gaps.

One strength of conducting a systematic review is its rigorous and meticulous nature, which ensures that the process is carefully planned and executed. This comprehensive approach allows for the elimination of biases, as the review systematically gathers and analyses existing literature on the topic. By adhering to a structured methodology, the systematic review enhances the validity and reliability of the findings, providing a robust and unbiased synthesis of the available evidence. This strength lends credibility to the research and reinforces the confidence in the conclusions drawn from the review.

The practical implications arising from this information indicate that universities need to address the identified issues directly by implementing supportive strategies and interventions. By doing so, they can create a learning environment that is more inclusive and equitable, allowing all students to unlock their full potential. This may involve measures such as raising awareness about unconscious bias, promoting engagement between academic staff and students, implementing anti-racist policies, establishing comprehensive support systems, and actively fostering social and cultural capital. Such practical actions will contribute to reducing the degree awarding gaps and promoting equal opportunities for all students, ultimately leading to a more equitable and successful educational experience.

The social implications derived from this information are significant. By implementing supportive strategies and interventions to address the identified issues, universities can contribute to creating a more inclusive and equitable learning environment. This has the potential to have a transformative impact on society by providing equal opportunities for all students to unlock their full potential. By raising awareness about unconscious bias and implementing anti-racist policies, universities can foster a more diverse and inclusive community. Promoting engagement between academic staff and students and establishing comprehensive support systems can enhance social cohesion and create a sense of belonging. Ultimately, these efforts can lead to reduced degree awarding gaps and contribute to a more equitable and successful educational experience, positively influencing broader social equality and cohesion.

This paper contributes significantly to the literature by offering a comprehensive, systematic review of the factors contributing to the degree awarding gap in UK higher education, highlighting its originality and value. By focusing on the interplay between contextual indicators, institutional culture, and degree awarding disparities, the study provides novel insights into how these dynamics contribute to educational inequities. Furthermore, the evidence-based recommendations for institutional interventions presented in this paper furnish the higher education sector with actionable strategies to foster a more inclusive and equitable learning environment. This work not only advances academic understanding of degree awarding gaps but also offers practical value to policymakers and educational institutions aiming to enhance social justice in higher education.

The objective of this study is to investigate the interaction effect between incentive type (financial and compassionate incentives) and the ethicality of merchant strategy on consumer willingness to post positive reviews, while also examining potential variations in consumer responses based on consumption experience, shopping frequency and social class.

Building upon construal level theory, we hypothesized the moderating influence of the ethicality of merchant strategy and examined the three-way interaction among consumers’ demographic characteristics (i.e. consumption experience, shopping frequency and social class), incentive type and the ethicality of merchant strategy. To empirically test our hypotheses, we conducted four experiments and employed ANOVA for data analysis.

The ethicality of merchant strategies moderates the association between incentive type and consumer willingness to post positive reviews, with compassionate incentives eliciting more pronounced moral judgments toward merchant strategies compared to financial incentives. The moderating effect of the ethicality of merchant strategy on the relationship between incentive type and consumer willingness to post positive reviews is particularly strong among consumers who have favorable consumption experiences, engage in frequent shopping and belong to lower social classes.

This study contributes to the existing literature on online reviews by examining the impact of compassionate incentives on consumer review behaviors, analyzing the ethicality of merchant strategies within the realm of online reviews and investigating variations in consumer responses to merchant strategies regarding consumption experience, shopping frequency and social class.

This study aims to detect consumer sarcasm through inconsistencies in sentiment features between text and images of hotel reviews.

This paper proposes a model for sarcasm detection based on multimodal deep learning using reviews of three hotel brands collected from two travel platforms, which can identify emotional inconsistencies within a modality and across modalities. Text-image interaction information is explored using graph neural networks (GNN) to detect essential clues in sarcasm sentiment.

The research results show that the multimodal deep learning model outperforms other baseline models, which can help to understand hotel service evaluation and provide hotel managers with decision-making opinions.

This research can help hoteliers in two ways: detecting service quality and formulating strategies. By selecting reference hotel brands, hoteliers can better assess their level of service quality (optimal resource allocation ensues); therefore, sarcasm detection research is not only beneficial for hotel managers seeking to improve service quality. The multimodal deep learning method introduced in the present study can be replicated in other industries to help travel platforms optimize their products and services.

本研究通过分析酒店评论文本和图像之间情感特征的不一致性来检测消费者的讽刺。

本文提出了一种基于多模态深度学习的讽刺检测模型, 使用从两个旅行平台收集的三个酒店品牌的评论, 该模型能够识别模态内部和模态之间的情感不一致性。利用图神经网络（GNN）探索文本-图像交互信息, 以检测讽刺情感中的关键线索。

研究结果显示, 多模态深度学习模型优于其他基线模型, 这有助于理解酒店服务评估, 并为酒店经理提供决策建议。

该研究可以在两方面帮助酒店业者：检测服务质量和制定策略。通过选择参考酒店品牌, 酒店业者可以更好地评估其服务质量水平（随之而来的是最佳资源分配）, 因此, 讽刺检测研究不仅有助于寻求提高服务质量的酒店经理。本研究介绍的多模态深度学习方法可以在其他行业复制, 帮助旅行平台优化其产品和服务。

With the appearance of additional review functionality on e-commerce platforms emotional changes in composite reviews have become more diverse. How consumers process the emotional changes in composite reviews is an important concern for companies. This study investigates the impact of explores how changes in the emotional valence and emotional intensity of composite reviews on consumers' information adoption.

Based on emotion as social information theory, this study constructs a double mediation model of how the change in emotional valence of composite reviews affects consumers' adoption intention and examines the moderating effect of the dynamic change of emotional intensity. One field and three online experiments were conducted to test the proposed hypotheses.

Consumers were more likely to adopt positive–negative composite reviews than negative–positive composite reviews. Compared to negative–positive composite reviews, positive–negative composite reviews led to higher perceived empathy and lower motivational suspicion, which, in turn, led to higher information adoption. Moreover, dynamic changes in emotional intensity played a moderating role in this effect. Interestingly, the amount of attribute difference changed the differences in perceived empathy and motivated consumer suspicion generated by the composite review when considering the reviewer’s attribute difference description.

The findings have important theoretical contributions that deepen business and consumer understanding of the impact of composite reviews and have practical implications for improving the management of composite reviews by businesses.

This study aims to develop the alleviating bullwhip effects framework (ABEF) replenishment rules, and bullwhip, inventory fluctuations and customer service fulfilment rates were examined. In addition, automated smoothing and replenishment rules can alleviate supply chain bullwhip effects. This study aims to understand the current artificial intelligence (AI) implementation practice in alleviating bullwhip effects in supply chain management. This study aimed to develop a system for writing reviews using a systematic approach.

The methodology for the present study consists of three parts: Part 1 deals with the systematic review process. In Part 2, the study applies social network analysis (SNA) to the fourth phase of the systematic review process. In Part 3, the author discusses developing research clusters to analyse the research state more granularly. Systematic literature reviews synthesize scientific evidence through repeatable, transparent and rigorous procedures. By using this approach, you can better interpret and understand the data. The author used two databases (EBSCO and World of Science) for unbiased analysis. In addition, systematic reviews follow preferred reporting items for systematic reviews and meta-analyses.

The study uses UCINET6 software to analyse the data. The study found that specific topics received high centrality (more attention) from scholars when it came to the study topic. Contrary to this, others experienced low centrality scores when using NETDRAW visualization graphs and dynamic capability clusters. Comprehensive analyses are used for the study’s comparison of clusters.

This study used a journal publication as the only source of information. Peer-reviewed journal papers were eliminated for their lack of rigorousness in evaluating the state of practice. This paper discusses the bullwhip effect of digital technology on supply chain management. Considering the increasing use of “AI” in their publications, other publications dealing with sensor integration could also have been excluded. To discuss the top five and bottom five topics, the author used magazines and tables.

The study explores the practical implications of smoothing the bullwhip effect through AI systems, collaboration, leadership and digital skills. Artificial intelligence is rapidly becoming a preferred tool in the supply chain, so management must understand the opportunities and challenges associated with its implementation. Furthermore, managers should consider how AI can influence supply chain collaboration concerning trust and forecasting to smooth the bullwhip effect.

Digital leadership and addressing the digital skills gap are also essential for the success of AI systems. According to the framework, it is necessary to balance AI performance and accountability. As a result of the framework and structured management approach, the author can examine the implications of AI along the supply chain.

The study uses a systematic literature review based on SNA to analyse how AI can alleviate the bullwhip effects of supply chain disruption and identify the focused and the most important AI topics related to the bullwhip phenomena. SNA uses qualitative and quantitative methodologies to identify research trends, strengths, gaps and future directions for research. Salient topics for reviewing papers were identified. Centrality metrics were used to analyse the contemporary topic’s importance, including degree, betweenness and eigenvector centrality. ABEF is presented in the study.

Most previous studies predicting review helpfulness ignored the significance of deep features embedded in review text and instead relied on hand-crafted features. Hand-crafted and deep features have the advantages of high interpretability and predictive accuracy. This study aims to propose a novel review helpfulness prediction model that uses deep learning (DL) techniques to consider the complementarity between hand-crafted and deep features.

First, an advanced convolutional neural network was applied to extract deep features from unstructured review text. Second, this study used previous studies to extract hand-crafted features that impact the helpfulness of reviews and enhance their interpretability. Third, this study incorporated deep and hand-crafted features into a review helpfulness prediction model and evaluated its performance using the Yelp.com data set. To measure the performance of the proposed model, this study used 2,417,796 restaurant reviews.

Extensive experiments confirmed that the proposed methodology performs better than traditional machine learning methods. Moreover, this study confirms through an empirical analysis that combining hand-crafted and deep features demonstrates better prediction performance.

To the best of the authors’ knowledge, this is one of the first studies to apply DL techniques and use structured and unstructured data to predict review helpfulness in the restaurant context. In addition, an advanced feature-fusion method was adopted to better use the extracted feature information and identify the complementarity between features.

大多数先前预测评论有用性的研究忽视了嵌入在评论文本中的深层特征的重要性, 而主要依赖手工制作的特征。手工制作和深层特征具有高解释性和预测准确性的优势。本研究提出了一种新颖的评论有用性预测模型, 利用深度学习技术来考虑手工制作特征和深层特征之间的互补性。

首先, 采用先进的卷积神经网络从非结构化的评论文本中提取深层特征。其次, 本研究利用先前研究中提取的手工制作特征, 这些特征影响了评论的有用性并增强了其解释性。第三, 本研究将深层特征和手工制作特征结合到一个评论有用性预测模型中, 并使用Yelp.com数据集对其性能进行评估。为了衡量所提出模型的性能, 本研究使用了2,417,796条餐厅评论。

广泛的实验验证了所提出的方法优于传统的机器学习方法。此外, 通过实证分析, 本研究证实了结合手工制作和深层特征可以展现出更好的预测性能。

据我们所知, 这是首个在餐厅评论预测中应用深度学习技术, 并结合了结构化和非结构化数据来预测评论有用性的研究之一。此外, 本研究采用了先进的特征融合方法, 更好地利用了提取的特征信息, 并识别了特征之间的互补性。

This study aims to evaluate and summarize the effectiveness of cognitive behavioral therapy (CBT) and internet-based CBT (ICBT) interventions on relapse prevention and severity of symptoms among individuals with major depressive disorder (MDD). CBT is one of the most used and suggested interventions to manage MDD, whereas ICBT is a novel effective proposed approach.

The review was conducted following the preferred reporting items for systematic review and meta-analysis protocol. A comprehensive and extensive search was performed to identify and evaluate the relevant studies about the effectiveness of CBT and ICBT on relapse prevention and severity of symptoms among patients with MDD.

A total of eight research studies met the inclusion criteria and were included in this systematic review. RCT studies were conducted to assess and evaluate the effectiveness of CBT and ICBT on relapse prevention and severity of symptoms among patients with MDD. It has been found that CBT is a well-supported and evidently based effective psychotherapy for managing depressive symptoms and reducing the relapse and readmission rate among patients diagnosed with MDD. The ICBT demonstrated greater improvements in depressive symptoms during major depressive episodes among patients with MDDS. The ICBT program had good acceptability and satisfaction among participants in different countries.

Despite the significant findings from this systematic review, certain limitations should be acknowledged. First, it is important to note that all the studies included in this review were exclusively conducted in the English language, potentially limiting the generalizability of the findings to non-English speaking populations. Second, the number of research studies incorporated in this systematic review was relatively limited, which may have resulted in a narrower scope of analysis. Finally, a few studies within the selected research had small sample sizes, which could potentially impact the precision and reliability of the overall conclusions drawn from this review. The authors recommend that nurses working in psychiatric units should use CBT interventions with patients with MDD.

This paper, a review of the literature gives an overview of CBT and ICBT interventions to reduce the severity of depressive symptoms and prevent patients’ relapse and rehospitalization and shows that CBT interventions are effective on relapse prevention among patients with MDD. In addition, there is still no standardized protocol to apply the CBT intervention in the scope of reducing the severity of depressive symptoms and preventing depression relapse among patients with major depressive disorder. Further research is needed to confirm the findings of this review. Future research is also needed to find out the most effective form and contents of CBT and ICBT interventions for MDD.

CBT is a psychological intervention that has been recommended by the literature for the treatment of major depressive disorder (MDD). It is a widely recognized and accepted approach that combines cognitive and behavioral techniques to assist individuals overcome their depressive symptoms and improve their overall mental well-being. This would speculate that effectiveness associated with several aspects and combinations of different approaches in CBT interventions and the impact of different delivery models are essential for clinical practice and appropriate selection of the interventional combinations.

This systematic review focuses on the various studies that explore the effectiveness of face-to-face CBT and ICBT in reducing depressive symptoms among patients with major depressive disorder. These studies were conducted in different countries such as Iran, Australia, Pennsylvania and the USA.