Xueting Gong, Dinkneh Gebre Borojo and Jiang Yushi
Due to their limited capacity for adaptation and dependence on natural resources for economic growth, developing countries (DCs) tend to be more prone to climate change. It is…
Abstract
Purpose
Due to their limited capacity for adaptation and dependence on natural resources for economic growth, developing countries (DCs) tend to be more prone to climate change. It is argued that climate finance (CF) is a significant financial innovation to mitigate the negative effects of climate variation. However, the heterogeneous impacts of CF on environmental sustainability (ES) and social welfare (SW) have been masked. Thus, this study aims to investigate the heterogeneous effects of CF on ES and SW in 80 CF receipt DCs from 2002 to 2018. This study also aims to investigate the effects of CF on ES and SW based on population size, income heterogeneity and the type of CF.
Design/methodology/approach
The method of moments quantile regression (MMQR) with fixed effects is utilized. Alternatively, the fully modified least square (FMOLS) and dynamic least square (DOLS) estimators are used for the robustness test.
Findings
The findings revealed that DCs with the lowest and middle quantiles of EF, carbon dioxide (CO2) emissions and human development exhibit large beneficial impacts of CF on ES and SW. In contrast, the positive effects of CF on ES breakdown for countries with the largest distributions of EF and CO2 emissions. Besides, the impacts of CF on ES and SW depend on income heterogeneity, population size and the type of CF.
Practical implications
This study calls for a framework to integrate CF into all economic development decisions to strengthen climate-resilient SW and ES in DCs.
Originality/value
To the best of the authors’ knowledge, this is the first study to investigate the effects of CF on ES and SW in a wide range of DCs. Thus, it complements existing related literature focusing on the effects of CF on ES and SW.
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Büşra Topdağı Yazıcı, Nuran Irapoğlu and Hande Nur Güleçoğlu
This study aims to explore the impact of architecture on digital communication mediums, focusing on how social media shapes the public perception and discussion of architectural…
Abstract
Purpose
This study aims to explore the impact of architecture on digital communication mediums, focusing on how social media shapes the public perception and discussion of architectural spaces. It specifically examines the case of the Basilica Cistern/Istanbul, analysing social media interactions post-restoration.
Design/methodology/approach
Using newspaper archive scanning and survey technique, this study observed public content on Instagram focusing on the post-restoration period of the Basilica Cistern. 406 (283 valid) people who visited the Cistern and shared their experiences on Instagram between August 2022 and January 2023 participated in a survey. The analysis utilized Python for advanced correlation studies, enabling an in-depth exploration of the interplay between architectural features and social media sharing behaviours.
Findings
The analysis revealed that historical significance, lighting elements, role as a photographic backdrop significantly influenced sharing behaviours. Correlations were found between specific spatial features of the cistern and various sharing motivations, such as communication with people, personal gain, and popularity. The study highlights a diverse spectrum of motivations among users, emphasizing the relationship between these motivations and spatial features.
Research limitations/implications
This study underscores the necessity for further inquiry into the intricate dynamics among digital communication, architectural spaces, and user motivations. Limitations include potential challenges in gathering data from social media due to concerns of cyber fraud and the misuse of hashtags.
Originality/value
This research offers novel insights into the interplay between digital communication and architecture. It underscores the potential of digital platforms as valuable data sources for architectural theorizing and practice, particularly in understanding how restorations and architectural changes are perceived and discussed in the digital space.
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Wei Jun Wang, Rafiu King Raji, Jian Lin Han and Yuan Chen
With the current developments within the sphere of Internet of Things (IoT) technology, many conventional articles are all being fitted with smart functionalities, ranging from…
Abstract
Purpose
With the current developments within the sphere of Internet of Things (IoT) technology, many conventional articles are all being fitted with smart functionalities, ranging from chairs, beds, shoes and caps to underwear. Bags which are utility as well as fashion items have not been left out of this smart craze, albeit to a less popular degree. The purpose of this study is to fill the research gap on the subject of smart bags research and applications and to contribute to the general discourse on IoT.
Design/methodology/approach
This study adopts literature search and database review, concept mapping as well as synthesis methodologies. Relevant literature form databases such as Web of Science, Google Scholar and Bing Scholar were interrogated. Manual sifting was done to eliminate papers that do not fit the set inclusion criteria. Literature on smart bags was organized into structured frameworks using concept mapping methodology. Applying a synthesis methodology enabled an exploration of the different technological trends in smart bag research and their areas of application.
Findings
The study identified about 15 different smart bag applications and functionalities. Discussed in this study is a classification of bags based on a number of points such as way of carrying, size, utility and fabrication materials. Also discussed are the description of what constitute a smart bag, relevant technologies for smart bag design and engineering and subsequently the current trends in smart bag applications. This study also discovered that the air travel industry tend to have some difficulties with this smart bag technologies, specifically with their built-in batteries.
Practical implications
The results of this study will provide researchers and other stakeholders with key information about existing problems and opportunities in smart bag research and applications. This will go a long way to help in guiding future research as well as policymaking in smart bag design and application.
Originality/value
To the best of the authors’ knowledge, this is the first review on the subject of smart bags even though smart bag research and commercial product design continue to gain momentum in recent years.
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Keng-Boon Ooi, Alex Koohang, Eugene Cheng-Xi Aw, Tat-Huei Cham, Cihan Cobanoglu, Charles Dennis, Yogesh K Dwivedi, Jun-Jie Hew, Heather Linton Kelly, Laurie Hughes, Chieh-Yu Lin, Anubhav Mishra, Ian Phau, Ramakrishnan Raman, Marianna Sigala, Yun-Chia Tang, Lai-Wan Wong and Garry Wei-Han Tan
The launch of ChatGPT has brought the large language model (LLM)-based generative artificial intelligence (GAI) into the spotlight, triggering the interests of various…
Abstract
Purpose
The launch of ChatGPT has brought the large language model (LLM)-based generative artificial intelligence (GAI) into the spotlight, triggering the interests of various stakeholders to seize the possible opportunities implicated by it. Nevertheless, there are also challenges that the stakeholders should observe when they are considering the potential of GAI. Given this backdrop, this study presents the viewpoints gathered from various subject experts on six identified areas.
Design/methodology/approach
Through an expert-based approach, this paper gathers the viewpoints of various subject experts on the identified areas of tourism and hospitality, marketing, retailing, service operations, manufacturing and healthcare.
Findings
The subject experts first share an overview of the use of GAI, followed by the relevant opportunities and challenges in implementing GAI in each identified area. Afterwards, based on the opportunities and challenges, the subject experts propose several research agendas for the stakeholders to consider.
Originality/value
This paper serves as a frontier in exploring the opportunities and challenges implicated by the GAI in six identified areas that this emerging technology would considerably influence. It is believed that the viewpoints offered by the subject experts would enlighten the stakeholders in the identified areas.
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Adil Masud Aman, Wailing Ng, Fei Hao, Chen Zhang and Kaye Kye Sung Chon
Abstract
Graphical abstract
Purpose
Amid rising concerns over unhealthy dietary habits and their impact on public health, this study aims to explore the role of avatars in promoting healthier eating and enhancing customer satisfaction in restaurants. By leveraging the theory of planned behavior (TPB) and nudge theory, this research sought to gain insights into consumer behavior and assess how digital innovations can encourage healthier food choices.
Design/methodology/approach
This study recruited 672 participants in the USA. Participants viewed a video featuring an avatar that informed them about available healthy food options, simulating a restaurant ordering scenario. Following the video, participants completed comprehensive online surveys. The collected data was analyzed using partial least squares structural equation modeling to assess the effectiveness and implications of the intervention.
Findings
The findings revealed that health consciousness, environmental awareness, social norms and perceived behavioral control significantly influence dietary habits. Restaurant health initiatives and avatar persuasiveness were found to encourage healthier food choices, improve customer satisfaction and loyalty and enhance electronic word-of-mouth. The study confirmed that avatars equipped with attributes such as competence, warmth, trustworthiness and credibility can be an effective digital nudge for consumers toward healthier dietary decisions.
Originality/value
This study’s originality lies in its integration of TPB and nudge theory, bridging the gap between individual psychological factors and external cues. This comprehensive framework provides valuable insights for restaurant managers, artificial intelligence developers and policymakers, offering practical strategies to promote healthier eating and enhance customer experiences through digital innovation.
目的
鉴于公众对不健康饮食习惯及其对公共健康影响的日益关注, 本研究旨在探索虚拟形象在促进更健康饮食和提升餐厅顾客满意度中的作用。通过利用计划行为理论(TPB)和劝导理论(Nudge Theory), 本研究试图深入了解消费者行为, 并评估数字创新如何鼓励更健康的食品选择。
设计/方法/途径
本研究在美国招募了672名参与者。参与者观看了一个展示虚拟形象的视频, 该虚拟形象向他们介绍了可供选择的健康食品选项, 模拟了餐厅点餐场景。观看视频后, 参与者完成了全面的在线调查。收集的数据通过偏最小二乘结构方程模型(PLS-SEM)分析, 以评估干预的有效性和影响。
发现
研究发现, 健康意识、环境意识、社会规范和感知行为控制显著影响饮食习惯。餐厅健康倡议和虚拟形象的说服力被发现能够鼓励更健康的食品选择, 提高顾客满意度和忠诚度, 并增强电子口碑。研究证实, 具备能力、温暖、可信度和信誉等属性的虚拟形象可以成为有效的数字劝导工具, 引导消费者作出更健康的饮食决策。
原创性/价值
本研究的原创性在于它将计划行为理论和劝导理论结合起来, 填补了个体心理因素和外部线索之间的差距。这一综合框架为餐厅经理、人工智能开发者和政策制定者提供了宝贵的洞见, 提供了推动更健康饮食和通过数字创新增强顾客体验的实用策略。
Objetivo
En medio de la creciente preocupación por los hábitos alimentarios poco saludables y su impacto en la salud pública, este estudio pretende explorar el papel de los avatares en la promoción de una alimentación más saludable y la mejora de la satisfacción del cliente en los restaurantes. Aprovechando la Teoría del Comportamiento Planificado (TPB) y la Teoría del Impulso, esta investigación trata de profundizar en el comportamiento del consumidor y evalúa cómo las innovaciones digitales pueden fomentar la elección de alimentos más saludables.
Diseño/metodología/enfoque
El estudio reclutó a 672 participantes en Estados Unidos. Los participantes visionaron un vídeo en el que un avatar les informaba sobre las opciones de comida saludable disponible, simulando una situación en la que solicitaban comida en un restaurante. Después del vídeo, los participantes rellenaron unas exhaustivas encuestas en línea. Los datos recogidos se analizaron mediante un modelo de ecuaciones estructurales por mínimos cuadrados parciales para evaluar la eficacia y las implicaciones de la intervención.
Resultados
Los resultados revelaron que la conciencia saludable, la conciencia medioambiental, las normas sociales y el control conductual percibido influyen significativamente en los hábitos alimentarios. Se comprobó que las iniciativas relacionadas con la salud en los restaurantes y la capacidad de persuasión de los avatares fomentan la elección de alimentos más sanos, mejoran la satisfacción y la fidelidad de los clientes y potencian el boca a boca electrónico. El estudio confirmó que los avatares dotados de atributos como competencia, calidez, fiabilidad y credibilidad pueden ser un estímulo digital eficaz para que los consumidores tomen decisiones dietéticas más saludables.
Originalidad/valor
La originalidad de este estudio radica en la integración de la TPB y la Teoría de los Estímulos, que tiende un puente entre los factores psicológicos individuales y las señales externas. Este marco integral aporta valiosas ideas a los gestores de restaurantes, desarrolladores de IA y responsables políticos, ofreciendo estrategias prácticas para promover una alimentación más sana y mejorar las experiencias de los clientes a través de la innovación digital.
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Shu-Hsien Liao, Da-Chian Hu and Cai-Jun Chen
This study proposed an extended theory of planned behaviour (TPB), that is, considering that behavioural beliefs, normative beliefs and control beliefs (beliefs) will influence…
Abstract
Purpose
This study proposed an extended theory of planned behaviour (TPB), that is, considering that behavioural beliefs, normative beliefs and control beliefs (beliefs) will influence perceived service quality (PSQ) on food delivery services. PSQ (behavioural intention) will influence electronic word-of-mouth (EWOM) (behaviour). In addition, exogenous variables including information from online ratings and consumer groups will affect the strength of the relationship between received service quality and EWOM on food delivery service.
Design/methodology/approach
This study aimed to investigate the mediation (PSQ) and moderation (Online ratings and consumer groups) effects on the extended TPB for Taiwanese consumers (n = 823).
Findings
This study first found a positive relationship between different beliefs and PSQ (behavioural intention). In addition, there is a positive relationship between PSQ and EWOM. Online rating has a moderating effect between PSQ and EWOM. Consumer group has a moderating relationship between PSQ and EWOM.
Originality/value
This study first found that the three stages of beliefs-intention-behaviour for consumers on food delivery service are reciprocal with two paths, starting with offline-to-online in terms of generating the positive relationship between individual belies and PSQ. Next, it can generate positive power to return online with a behaviour of EWOM. In addition, online ratings can enhance and strengthen the positive effect between PSQ and EWOM.
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Heesup Han, Sung In Kim, Jin-Soo Lee and Inyoung Jung
This study aims to discover factors and configurations that influence customers’ acceptance behaviors to investigate the current hospitality industry using service robots.
Abstract
Purpose
This study aims to discover factors and configurations that influence customers’ acceptance behaviors to investigate the current hospitality industry using service robots.
Design/methodology/approach
A mix of symmetrical and asymmetrical modeling methods was used for the data analysis. The symmetrical modeling was used to find the net effects, whereas asymmetrical modeling was adopted to find the combined configurations for hotel guests’ robot service acceptance behaviors.
Findings
The results revealed the significant effect of innovativeness, willingness to be a lighthouse customer, personal norms and concern about service robot performance on acceptance behaviors. In addition, the complex solution models using characteristics of tech-forward consumers, norms and attitude and uncertainty and concern were found.
Practical implications
The study shows directions to hotel marketers, to help them make customers adopt service robots.
Originality/value
The study explored customer service robot acceptance behaviors based on comprehensive theoretical backgrounds, including the technology acceptance model, theory of planned behavior, norm activation model and service robot acceptance model.
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Dan Luo, Xiewen Ni, Eugene Cheng-Xi Aw and Garry Wei-Han Tan
This study aims to propose and validate a research framework pertaining to the willingness to disclose information in the context of mobile banking apps. The interrelationships…
Abstract
Purpose
This study aims to propose and validate a research framework pertaining to the willingness to disclose information in the context of mobile banking apps. The interrelationships between privacy protection, perceived personalization, social presence, design aesthetics, consumer empowerment, parasocial interactions and privacy concerns are assessed as antecedents of willingness to disclose information.
Design/methodology/approach
Based on a self-administered survey, this study gathered data from 450 Chinese consumers. The data were analyzed using structural equation modeling via SmartPLS 4 software.
Findings
The findings indicate that (1) privacy concerns are negatively related to willingness to disclose information, (2) parasocial interaction reduces privacy concerns, (3) consumer empowerment is positively influenced by privacy protection and perceived personalization and (4) social presence and design aesthetics positively contribute to the formation of parasocial interaction.
Originality/value
The current study serves to reinforce a theoretical understanding of the willingness to disclose information in mobile banking apps, which is underresearched. The findings offer alternative psychological mechanisms (i.e. consumer empowerment and parasocial interaction) and relevant mobile banking app attributes to explain the willingness to disclose information.
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Xiuli Zhang, Wenkai Gao, Jian Cui, Yuankang Shen, Tao Huang, Gengyuan Gao and Jun Cao
Rubber-plastic double-layer bush water-lubricated bearings have demonstrated superior performance, while research on their vibration characteristics remains limited. This paper…
Abstract
Purpose
Rubber-plastic double-layer bush water-lubricated bearings have demonstrated superior performance, while research on their vibration characteristics remains limited. This paper aims to investigate the lubrication and vibration properties of these bearings by experiments and examine the effect of rubber-to-plastic bush thickness ratio on bearing performance.
Design/methodology/approach
A water-lubricated journal bearing test rig is constructed, and three bearings with different bush thickness ratios are fabricated. Bush deformation under various loads is measured, and the friction coefficient and axis trajectory under different operating conditions are tested. The vibration responses of the bearings under directional harmonic excitation are studied. The influences of rotational speed, load and rubber-to-plastic bush thickness ratio on the bearing’s lubrication and vibration properties are analyzed.
Findings
The friction coefficient of the bearing initially decreases rapidly and subsequently increases gradually as the rotational speed or load increases. The bearing with a thicker rubber bush shows lower displacement amplitudes in its axis trajectory. Under a 45° directed excitation, significant oscillations are observed in the vertical displacement, while the horizontal displacement remains stable. The damping effect of the bearing with a thicker rubber bush is more pronounced.
Originality/value
This paper present the influence of rubber-to-plastic bush thickness ratio on bearing lubrication and vibration performance. The results are valuable for the design of this type of bearing.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-12-2024-0469/
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Abstract
Purpose
This study aims to improve the force sensing performance of the robot joint for the safety and flexibility of physical human–robot interaction.
Design/methodology/approach
A force sensing mechanism (FSM) for an S-shaped spring of a robot variable stiffness actuator (VSA) was designed. The yield strength of the spring material, geometric and assembly structure constraints of the VSA are all considered for the actuator deflection limit design. The elastic deformation model is solved in reverse to obtain the local deformation limit profile of the S-spring at different spring angles. The deformation limit mechanism is manufactured by three-dimensional printing and assembled with S-springs. The force sensing function for the VSA is achieved by the input and output shaft encoders and stiffness model. The FSM is verified by torque-deflection experiments with variable stiffness.
Findings
The yield strength of the S-spring material is the strictest constraint for elastic deformation. Experimental results show that the external force can be quickly and reliably perceived. As the spring angle increases (stiffness increases), the hysteresis and nonlinear error decrease. Under the constraint of the FSM, the maximum deflection also decreases rapidly.
Originality/value
The designed FSM based on the deformation and stiffness model provides a comprehensive design reference in a VSA with nonlinear elastic mechanisms, which is ignored but important for exploring the VSAs potential.