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Article
Publication date: 13 February 2024

Amer Jazairy, Emil Persson, Mazen Brho, Robin von Haartman and Per Hilletofth

This study presents a systematic literature review (SLR) of the interdisciplinary literature on drones in last-mile delivery (LMD) to extrapolate pertinent insights from and into…

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Abstract

Purpose

This study presents a systematic literature review (SLR) of the interdisciplinary literature on drones in last-mile delivery (LMD) to extrapolate pertinent insights from and into the logistics management field.

Design/methodology/approach

Rooting their analytical categories in the LMD literature, the authors performed a deductive, theory refinement SLR on 307 interdisciplinary journal articles published during 2015–2022 to integrate this emergent phenomenon into the field.

Findings

The authors derived the potentials, challenges and solutions of drone deliveries in relation to 12 LMD criteria dispersed across four stakeholder groups: senders, receivers, regulators and societies. Relationships between these criteria were also identified.

Research limitations/implications

This review contributes to logistics management by offering a current, nuanced and multifaceted discussion of drones' potential to improve the LMD process together with the challenges and solutions involved.

Practical implications

The authors provide logistics managers with a holistic roadmap to help them make informed decisions about adopting drones in their delivery systems. Regulators and society members also gain insights into the prospects, requirements and repercussions of drone deliveries.

Originality/value

This is one of the first SLRs on drone applications in LMD from a logistics management perspective.

Details

The International Journal of Logistics Management, vol. 36 no. 7
Type: Research Article
ISSN: 0957-4093

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Article
Publication date: 12 December 2023

Liu Wanmei

This study examined the students' academic performance through psychological capital, academic engagement and academic persistence. It also investigated the function of…

189

Abstract

Purpose

This study examined the students' academic performance through psychological capital, academic engagement and academic persistence. It also investigated the function of psychological capital in mediating the relationship between academic engagement, persistence and performance.

Design/methodology/approach

The study utilized a quantitative method and structural equation modeling using PLS-SEM version 3. A total of 900 questionnaires were issued to Chinese university students, and 814 data were analyzed.

Findings

Findings suggest that academic engagement and persistence significantly and positively impact psychological capital. Psychological capital is also mediated between academic engagement, persistence and performance. Additionally, the study made several recommendations for upcoming researchers and industry professionals.

Originality/value

Analyzing the pupils' academic achievement after COVID-19 reopening as it indicates their attention and engagement in the study. Although previous studies explored students' academic performance regarding the post-COVID effect, the role of psychological capital and engagement in academia in the study has been studied in a post-COVID context.

Details

Kybernetes, vol. 54 no. 3
Type: Research Article
ISSN: 0368-492X

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Article
Publication date: 17 September 2024

Kanapot Kalnaovakul, Kandappan Balasubramanian and Stephanie Hui-Wen Chuah

This study investigates the service quality dimensions of hotel resorts in renowned beach destinations of Thailand. It also explores the relationship between review text sentiment…

164

Abstract

Purpose

This study investigates the service quality dimensions of hotel resorts in renowned beach destinations of Thailand. It also explores the relationship between review text sentiment expressed in online platforms and the satisfaction ratings provided for those reviews.

Design/methodology/approach

The study employs a two-step analysis approach: first, supervised and unsupervised machine learning via support vector machine (SVM) and latent Dirichlet allocation (LDA) are used to identify service quality dimensions, and second, SmartPLS with PROCESS macro is applied to analyze the moderating roles of quality signals and reviewer’s experience on the relationship between sentiment and satisfaction rating. The dataset comprises 102,179 online reviews from TripAdvisor, focusing on 187 selected hotels rated from 3 to 5 stars.

Findings

Eight service quality dimensions were identified, including leisure activities, tangibles and surroundings, reliability, responsiveness, service process, food, empathy and ambience. The study underscores that the service process stands as the sole dimension exhibiting negative sentiment. Furthermore, the analysis revealed a robust positive association between sentiment of review texts and satisfaction, and reviewers’ experience and brand affiliation influenced the relationship between customer sentiment and satisfaction.

Practical implications

Hotel managers should focus efforts on maintaining tangible aspects while enhancing existing service quality level of other dimensions, particularly those related to intangible elements. Independent hotels might implement quality audit to ensure that service quality gaps are monitored.

Originality/value

This study contributes an examination of the moderating roles of quality signals and reviewer’s experience on the relationship between review sentiment and satisfaction rating in online reviews.

Details

Journal of Hospitality and Tourism Insights, vol. 8 no. 3
Type: Research Article
ISSN: 2514-9792

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Article
Publication date: 6 February 2024

Shih-Shuo Yeh, Aliana Man Wai Leong, Chien-Wen Hung and Tzung-Cheng Huan

This tourism study delves into the universal impact of authenticity on tourists' preferences. This study aims to enhance understanding and present a model delineating…

420

Abstract

Purpose

This tourism study delves into the universal impact of authenticity on tourists' preferences. This study aims to enhance understanding and present a model delineating authenticity's intricate relationship with behavioral intention, involvement and nostalgia.

Design/methodology/approach

The research entails administering a sample survey to travelers located in the departure lounge of Macau International Airport. Ultimately, 499 fully completed questionnaires are obtained through convenience sampling. The analysis of the collected data incorporates an innovative method, using a quadratic model.

Findings

Results undeniably validate that a destination's perceived authenticity significantly influences tourists' intentions, engagement and nostalgic sentiments. Findings strongly support the assertion that this authenticity demonstrates a nonlinear pattern in its association with behavioral intention, involvement and nostalgia.

Originality/value

Through quantitative analysis and interpretation, this study has advanced the comprehension of the interplay between authenticity and tourism. It introduces a novel perspective that adds depth to the broader understanding in this domain. This foundational research is crucial for acknowledging the unique contributions made by this study to the fields of tourism and authenticity.

目的

这项旅游研究深入探讨了真实性对游客偏好的普遍影响。它旨在增强理解并提出一个模型来描述真实性与行为意图、参与和怀旧之间的复杂关系。

设计/方法/步骤

该研究需要对位于澳门国际机场候机室的旅客进行抽样调查。最终通过便利抽样获得完整填写的问卷499份。对收集的数据的分析采用了一种创新方法, 利用二次方模型。

研究结果

结果无可否认地证实, 目的地的感知真实性会显着影响游客的意图、参与度和怀旧情绪。研究结果有力地支持了这一主张, 即这种真实性在其与行为意图、参与和怀旧的关联中表现出一种非线性模式。

独创性/价值

通过定量分析和解释, 这项研究增进了我们对真实性与旅游之间的回应的理解。它引入了一种新颖的视角, 加深了我们对这一领域更广泛的理解。这一基础研究为承认本研究对旅游和真实性领域做出了独特贡献。

Objetivo

Este estudio turístico profundiza en el impacto universal de la autenticidad en las preferencias de los turistas. Pretende mejorar la comprensión y presentar un modelo que delinee la intrincada relación de la autenticidad con la intención conductual, la implicación y la nostalgia.

Diseño/metodología/enfoque

La investigación consistió en administrar una encuesta por muestreo a los viajeros situados en la sala de embarque del Aeropuerto Internacional de Macao. Finalmente, se obtuvieron 499 cuestionarios totalmente cumplimentados mediante un muestreo de conveniencia. El análisis de los datos recogidos incorpora un método innovador, utilizando un modelo cuadrático.

Resultados

Los resultados validan sin lugar a duda que la autenticidad percibida de un destino influye significativamente en las intenciones, la implicación y los sentimientos nostálgicos de los turistas. Los hallazgos apoyan firmemente la afirmación de que esta autenticidad demuestra un patrón no lineal en su asociación con la intención conductual, la implicación y la nostalgia.

Originalidad/valor

Mediante el análisis cuantitativo y la interpretación, este estudio ha hecho avanzar nuestra comprensión de la interacción entre autenticidad y turismo. Introduce una perspectiva novedosa que añade profundidad a nuestra comprensión más amplia en este ámbito. Esta investigación fundacional es crucial para reconocer las contribuciones únicas de este estudio a los campos del turismo y la autenticidad.

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Article
Publication date: 12 June 2023

Xudong Zhuang and Junshan Duan

The purpose of this study is to evaluate the impact of environmental uncertainty on corporate social responsibility (CSR), and involves corporate financial investment as mediating…

310

Abstract

Purpose

The purpose of this study is to evaluate the impact of environmental uncertainty on corporate social responsibility (CSR), and involves corporate financial investment as mediating factor into this relationship to identify whether Chinese enterprises pursue fame or profit under rising environmental uncertainty.

Design/methodology/approach

Data of listed companies in China from 2010 to 2019 are employed. Fixed effect and mediating effect models were used to explore the relationship between environmental uncertainty, corporate financial investment, and CSR. The heterogeneity influence and moderating effect are discussed by using the method of grouping test and adding interactive items.

Findings

The study finds that rising environmental uncertainty has a negative impact on CSR. It stimulates managements' short-sighted motivation, so that enterprises prioritize financial investment that can solve short-term goals, rather than CSR performance. This inhibitory effect is caused by holding illiquid financial assets with the motivation of “speculative profit seeking.” The negative effect is greater in the samples of state-owned enterprises, nonfamily enterprises and enterprises with low risk-taking.

Practical implications

It provides a decision-making direction for implementation of CSR governance and the construction of CSR system, particularly in emerging market economies.

Social implications

CSR is widely known in developed countries for its formation, development and role, but its effectiveness and behavioral motivation are less mentioned in emerging markets. In the future, the research in this area needs to be further advanced.

Originality/value

The study makes significant contributions to the mechanisms behind the link between environmental uncertainty and CSR by taking corporate financial investment as an intermediary factor into the analysis, especially in the unique market context of China.

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Article
Publication date: 12 September 2023

Wenjing Wu, Caifeng Wen, Qi Yuan, Qiulan Chen and Yunzhong Cao

Learning from safety accidents and sharing safety knowledge has become an important part of accident prevention and improving construction safety management. Considering the…

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Abstract

Purpose

Learning from safety accidents and sharing safety knowledge has become an important part of accident prevention and improving construction safety management. Considering the difficulty of reusing unstructured data in the construction industry, the knowledge in it is difficult to be used directly for safety analysis. The purpose of this paper is to explore the construction of construction safety knowledge representation model and safety accident graph through deep learning methods, extract construction safety knowledge entities through BERT-BiLSTM-CRF model and propose a data management model of data–knowledge–services.

Design/methodology/approach

The ontology model of knowledge representation of construction safety accidents is constructed by integrating entity relation and logic evolution. Then, the database of safety incidents in the architecture, engineering and construction (AEC) industry is established based on the collected construction safety incident reports and related dispute cases. The construction method of construction safety accident knowledge graph is studied, and the precision of BERT-BiLSTM-CRF algorithm in information extraction is verified through comparative experiments. Finally, a safety accident report is used as an example to construct the AEC domain construction safety accident knowledge graph (AEC-KG), which provides visual query knowledge service and verifies the operability of knowledge management.

Findings

The experimental results show that the combined BERT-BiLSTM-CRF algorithm has a precision of 84.52%, a recall of 92.35%, and an F1 value of 88.26% in named entity recognition from the AEC domain database. The construction safety knowledge representation model and safety incident knowledge graph realize knowledge visualization.

Originality/value

The proposed framework provides a new knowledge management approach to improve the safety management of practitioners and also enriches the application scenarios of knowledge graph. On the one hand, it innovatively proposes a data application method and knowledge management method of safety accident report that integrates entity relationship and matter evolution logic. On the other hand, the legal adjudication dimension is innovatively added to the knowledge graph in the construction safety field as the basis for the postincident disposal measures of safety accidents, which provides reference for safety managers' decision-making in all aspects.

Details

Engineering, Construction and Architectural Management, vol. 32 no. 2
Type: Research Article
ISSN: 0969-9988

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Article
Publication date: 24 September 2024

Sukanya Wareebor, Chompoonut Suttikun and Patcharaporn Mahasuweerachai

Consumer behavior is evolving rapidly due to the increasing role of technology in daily life. Online food ordering has emerged as a key channel in this changing landscape. This…

236

Abstract

Purpose

Consumer behavior is evolving rapidly due to the increasing role of technology in daily life. Online food ordering has emerged as a key channel in this changing landscape. This paper investigates the relationships between online promotions, consumer skepticism, information sharing on social media and the intention to purchase food and beverages through online delivery services.

Design/methodology/approach

Measures were developed based on a review of existing literature. Data from 402 participants were analyzed using Structural Equation Modeling (SEM).

Findings

The study reveals that online promotions significantly impact consumers' sharing of restaurant posts. Additionally, consumer skepticism about online food sales affects both their sharing behavior and their intention to purchase online. Engagement in sharing restaurant posts online is a strong predictor of online food purchasing intentions.

Practical implications

The findings offer valuable insights for restaurant operators, policymakers and technology developers in the competitive online food delivery sector. They emphasize the importance of implementing innovative promotions and crafting appealing food presentations. These strategies can accelerate customer decision-making, attract new customers and contribute to market expansion and customer base sustainability.

Originality/value

This research provides significant insights for restaurant owners and contributes to the limited literature on online promotions, consumer skepticism and information sharing in the restaurant industry. It also lays the groundwork for future studies aimed at deepening understanding in this field.

Details

Journal of Hospitality and Tourism Insights, vol. 8 no. 3
Type: Research Article
ISSN: 2514-9792

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Article
Publication date: 15 January 2025

Xumei Lin, Peng Wang, Shiyuan Wang and Jiahui Shen

The purpose of this paper is to investigate the accurate monitoring and assessment of steel bar corrosion in concrete based on deep learning multi-sensor information fusion…

15

Abstract

Purpose

The purpose of this paper is to investigate the accurate monitoring and assessment of steel bar corrosion in concrete based on deep learning multi-sensor information fusion method. The paper addresses the issue of traditional corrosion assessment models relying on sufficient data volume and low evaluation accuracy under small sample conditions.

Design/methodology/approach

A multi-sensor integrated corrosion monitoring equipment for reinforced concrete is designed to detect corrosion parameters such as corrosion potential, current, impedance, electromagnetic signal and steel bar stress, as well as environmental parameters such as internal temperature, humidity and chloride ion concentration of concrete. To overcome the small amount of monitoring data and improve the accuracy of evaluation, an improved Siamese neural network based on the attention mechanism and multi-loss fusion function is proposed to establish a corrosion evaluation model suitable for small sample data.

Findings

The corrosion assessment model has an accuracy of 98.41%, which is 20% more accurate than traditional models.

Practical implications

Timely maintenance of buildings according to corrosion evaluation results can improve maintenance efficiency and reduce maintenance costs, which is of great significance to ensure structural safety.

Originality/value

The corrosion monitoring equipment for reinforced concrete designed in this paper can realize the whole process of monitoring inside the concrete. The proposed corrosion evaluation model for reinforced concrete based on Siamese neural network has high accuracy and can provide a more accurate assessment model for structural health testing.

Details

Anti-Corrosion Methods and Materials, vol. 72 no. 2
Type: Research Article
ISSN: 0003-5599

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Article
Publication date: 24 December 2024

Feliza Marie Santos Mercado and Sungwon Shin

In response to challenges in traditional professional development, educators are increasingly utilizing social media platforms to customize their learning experiences and…

37

Abstract

Purpose

In response to challenges in traditional professional development, educators are increasingly utilizing social media platforms to customize their learning experiences and facilitate their professional growth. This systematic literature review seeks to examine articles published between January 2018 and July 2023 to synthesize evidence on the ways in which teachers are leveraging social media to improve their teaching practices.

Design/methodology/approach

The authors used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) to guide the literature review process. First, the authors established synthesis questions, set up eligibility criteria and determined search engines and search terms to identify the relevant literature. Second, the authors sorted and selected from the preliminary article search and screened based on the established criteria. Finally, the authors analyzed each selected article’s content, which included coding, interpreting the themes and organizing the findings.

Findings

Teachers are increasingly using social media for professional development, engaging in collaboration, empowering connection, and relationship-building through teacherpreneurship. They take on various roles, from info-consumers and info-networkers to self-seeking contributors, vocationalists and lurkers. Despite these benefits, challenges remain, such as potential for unexpected misunderstandings, social comparison that can lead to low self-esteem, which can hinder effective engagement in social media-based professional development. Additionally, this paper observed a growing trend in scholarly articles on this topic, particularly from 2020, 2021 and 2022, highlighting its increasing relevance and impact on the educational community.

Research limitations/implications

This systematic literature review focused exclusively on studies involving in-service K-12 teachers as participants, excluding perspectives from preservice teachers, higher education instructors, instructional coaches and school administrators. While these other educational professionals undoubtedly offer valuable insights into improving teaching practices and contribute significantly to social media-based professional development, this review aimed to center the experiences of K-12 in-service teachers to understand their unique professional development needs and practices. Consequently, it does not capture the potential synergies between K-12 teachers and other educator groups, such as the ways in which school administrators might support or enhance in-service teachers’ professional development through social media. Future studies could explore these interactions more deeply to provide a fuller picture of the collective expertise within these groups.

Practical implications

The COVID-19 pandemic underscored the value of social media for informal professional development, as shown by the increased number of publications on this topic during that period. However, some social media platforms prioritize consumerism over educational resources, emphasizing the need for educators to critically evaluate their sources. Teachers should be discerning in their resource selection, ensuring that educational references are credible and free of hidden costs.

Social implications

This study uncovered several unique patterns in how teachers use social media, revealing both benefits and challenges. Notably, some teachers are leveraging social media not only to build professional connections but also to engage in commercial activities. While this practice can create a supportive network – where teachers promote one another’s visibility, share products and seek support – it can also detract from the intended purpose of professional learning. The focus on brand-building and profit-making may overshadow authentic community-building and collaborative growth. Additionally, the presence of paid content introduces financial barriers, as many teachers have limited resources for professional development.

Originality/value

This study provides a comprehensive review of recent literature (January 2018 to July 2023) on teachers' use of social media for professional development and learning, offering fresh insights into emerging trends. Notably, findings of this study highlight the role of teacherpreneurship in fostering beneficial social connections within digital spaces, a factor that has gained prominence as teachers seek collaborative and supportive networks. Additionally, this research sheds light on lurking as a common strategy among teachers to avoid conflict and misunderstandings when engaging in social media-based professional development. Furthermore, by addressing various challenges, this paper presents suggestions for thoughtfully integrating social media into school professional development programs, with the intention of supporting the diverse needs of teachers and fostering their professional growth.

Details

Information and Learning Sciences, vol. 126 no. 3/4
Type: Research Article
ISSN: 2398-5348

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Article
Publication date: 17 February 2025

Yu Liu and Ziming Zeng

Previous research mainly uses graph neural networks on syntactic dependency graphs, often neglecting emotional cues in sarcasm detection and failing to integrate image features…

11

Abstract

Purpose

Previous research mainly uses graph neural networks on syntactic dependency graphs, often neglecting emotional cues in sarcasm detection and failing to integrate image features for multimodal information effectively. To address these limitations, this study proposes a novel multimodal sarcasm detection model based on the directed graph isomorphism network with sentiment enhancement and multimodal fusion (DGIN-SE-MF).

Design/methodology/approach

The approach extracts image and text features through vision transformer and BERT, respectively. To deeply integrate the extracted features, the author develops a text-guided multi-head attention fusion mechanism module. Subsequently, a directed graph is constructed through SE and the multimodal factorized bilinear pooling method to integrate image features into the graph. The DGIN then fuses the image and text features, using a weighted attention mechanism to generate the final representation.

Findings

The model is validated on three datasets: English, Chinese and an Indonesian–English dataset. The results demonstrate that the proposed model consistently outperforms other baseline models, particularly on the Chinese and English sarcasm datasets, achieving F1 scores of 88.75 % and 83.10 %, respectively.

Originality/value

The proposed model addresses the inadequacies of previous methods by effectively integrating emotional cues and image features into sarcasm detection. To the best of the authors’ knowledge, this is the first work to leverage a DGIN-SE-MF for this task, leading to significant improvements in detection performance across different languages.

Details

The Electronic Library, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0264-0473

Keywords

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