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Open Access
Article
Publication date: 18 September 2023

Raja Ahmed Jamil, Urba Qayyum, Syed Ramiz ul Hassan and Tariq Iqbal Khan

Extending the elaboration likelihood model (ELM), this study investigates the impact of social media influencers (SMI) on consumer well-being (CW) as well as the influence of CW…

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Abstract

Purpose

Extending the elaboration likelihood model (ELM), this study investigates the impact of social media influencers (SMI) on consumer well-being (CW) as well as the influence of CW on purchase intention.

Design/methodology/approach

A between-subjects experiment (macro- vs mega-influencer) was conducted to assess the proposed hypotheses. A total of 190 consumers participated in the experiment, and SmartPLS 3.3 was used for multigroup analyses.

Findings

Overall, argument quality (AQ), source's credibility (SC) and influencer's kindness positively predict CW, and CW predicts purchase intention. It was also found that SC is more important when information comes from a mega-influencer, whilst kindness is essential for a macro-influencer.

Practical implications

The results of this study imply that CW should be an essential component of influencer marketing strategy. Marketing managers should hire credible and kind influencers who can produce quality arguments. Additionally, the selection of SMI (macro- vs mega-influencer) should be aligned with the marketing objective and type of persuasion required.

Originality/value

This is one of the early attempts to extend ELM by introducing influencer kindness as a peripheral cue. Moreover, the study offers novelty by examining the effects of influencer characteristics (AQ, SC and kindness) on CW and comparing these effects across macro- and mega-influencers.

研究目的

藉著擴展詳儘可能性模型, 本研究擬探討網絡紅人對消費者福祉的影響, 以及消費者福祉對購買意圖的影響。

研究方法

研究人員進行被試間實驗 (中網紅對大型網紅) , 以對提出的假設進行評價。190名消費者參與實驗, 研究人員使用SmartPLS 3.3 進行多群組分析。

研究結果

總的來說, 論點品質、來源可信度和網紅的仁慈體貼, 均能積極預測消費者福祉, 而消費者福祉亦可預測購買意圖。研究人員亦發現, 若資訊是來自大型網紅的話, 來源可信度則更形重要, 而對中網紅來說, 仁慈體貼則是不可或缺的。

研究帶來的啟示

研究結果暗示, 消費者福祉應是網紅市場營銷戰略的基本要素。市場經理應僱用可靠、仁慈體貼、並能提出優質論點的網紅。而且, 網絡紅人 (中網紅對大型網紅) 的挑選, 必須與營銷目標和說服的種類互相協調。

研究的原創性

本研究為早期的嘗試, 利用引進網絡紅人的仁慈體貼作為周邊線索, 來擴展詳儘可能性模型。另外, 本研究探討網絡紅人的特徵 (論點品質、來源可信度和仁慈體貼) 會如何影響消費者福祉; 研究人員亦跨中網紅和大型網紅, 對這些影響進行比較, 就此而言, 本研究提供了創新的研究意念。

Details

European Journal of Management and Business Economics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2444-8451

Keywords

Open Access
Article
Publication date: 21 March 2024

Xiaogang Cao, Cuiwei Zhang, Jie Liu, Hui Wen and Bowei Cao

The purpose of this article is based on the unit patent license fee model in the closed-loop supply chain.

Abstract

Purpose

The purpose of this article is based on the unit patent license fee model in the closed-loop supply chain.

Design/methodology/approach

This paper analyzes the impact of the bundling strategy of the retailer selling new products and remanufactured products on the closed-loop supply chain under the condition that the original manufacturer produces new products and the remanufacturer produces remanufacturing products.

Findings

The results show that alternative products can be bundled, and in many cases, the bundling of remanufactured products and new products is better than selling alone.

Originality/value

If the retailer chooses bundling, for the remanufacturer, when certain conditions are met, the benefits of bundling are greater than the separate sales at that time; for the original manufacturer, when the recycling price sensitivity coefficient is high, the bundling is better than separate sales.

Details

Modern Supply Chain Research and Applications, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2631-3871

Keywords

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…

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. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

Keywords

Open Access
Article
Publication date: 24 May 2024

Ming Yang, Fangyuan Xing, Xiaomeng Liu, Zimeng Chen and Yali Wen

Adopting adaptive behavior has become a basic measure for farmers because the increasingly severe climate change is affecting agricultural production. Perception is a critical…

Abstract

Purpose

Adopting adaptive behavior has become a basic measure for farmers because the increasingly severe climate change is affecting agricultural production. Perception is a critical first step in adopting adaptive behaviors. Livelihood resilience represents a farmer's ability to adapt to climate change. Therefore, this article aims to explore the impact of livelihood resilience and climate change perception on the climate change adaptation behavior of farmers in the Qinling Mountains region of China.

Design/methodology/approach

In this study, 443 micro-survey data of farmers are obtained through one-on-one interviews with farmers. The Logit model and Poisson regression model are used to empirically examine the impact of farmers' livelihood resilience and climate change perception on their climate change adaptation behaviors.

Findings

It was found that 86.68% of farmers adopt adaptive behaviors to reduce the risks of facing climate change. Farmers' perception of extreme weather has a significant positive impact on their adaptive behavior under climate change. The resilience of farmers' livelihoods and their perception of rainfall have a significant positive impact on the intensity of their adaptive behavior under climate change. Climate change adaptation behaviors are also different for farmers with different levels of livelihood resilience.

Originality/value

Based on the results, policy recommendations are proposed to improve farmers' perception of climate change, enhance the sustainability of farmers' adaptive behavior to climate change, strengthen emergency management and infrastructure construction and adjust and upgrade farmers' livelihood models.

Details

Forestry Economics Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2631-3030

Keywords

Article
Publication date: 12 May 2023

Wen-Jye Hung, Pei-Gi Shu, Ya-Min Wang and Tsui-Lin Chiang

This study investigates the effect of auditing industry specialization (AIS) on the relative derivatives use for earnings management.

Abstract

Purpose

This study investigates the effect of auditing industry specialization (AIS) on the relative derivatives use for earnings management.

Design/methodology/approach

The sample chosen in this study comprises 30,599 firm-year observations of Chinese public companies from 2005 to 2018. The sample is divided into two time periods (2005–2013 and 2014–2018) according to the year when IFRS 9 was implemented (IFRS 9, first discussed by the International Accounting Standards Board in March 2008, is based on an expected credit loss model for determining new and existing expected credit losses on financial assets. The definition was completed in July 2014 and implemented in 2018). AIS was gauged with respect to audit firms and individual auditors, and measured by market share in number and scale of clients. Linear regression is adopted to test hypotheses. Moreover, two-stage least square model (2SLS) is used to eliminate the concern of possible endogeneity.

Findings

When gauged with respect to client scale, the scale-based AIS constrained the level of derivatives use for earnings management in the first period (2005–2013) while increased the level in the second period (2014–2018). The findings sustain for the analysis of audit firms and that of individual auditors, and for different definitions of AIS.

Research limitations/implications

The positive AIS-IN relation after the adoption of IFRS 9 implies the sacrifice audit independence. This could be indebted to the government policy that favors local audit firms to be comparable to international Big 4 audit firms, and therefore results in competition among local auditors/audit firms in securing number rather than quality of clients.

Originality/value

The data of AIS in China are collected using a Python web crawler.

Details

International Journal of Emerging Markets, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1746-8809

Keywords

Article
Publication date: 29 April 2024

Ajitabh Dash

This study aims to investigate the influence of cognitive and affective trust on the revisit intention of medical tourists to a developing country like India, focusing on the role…

Abstract

Purpose

This study aims to investigate the influence of cognitive and affective trust on the revisit intention of medical tourists to a developing country like India, focusing on the role of country image as a moderator.

Design/methodology/approach

This study used partial least square-based structural equation modelling to test the hypotheses using data from 297 medical tourists visiting India from abroad for treatment.

Findings

The findings of this study confirmed that all the dimensions of cognitive trust, namely, perceived expertise, performance and reputation of the health-care service providers, have a positive and significant impact on the revisit intention of medical tourists to India. In contrast, none of the two dimensions of affective trust have a significant effect on the revisit intention of medical tourists to India. This study also confirmed that country image significantly moderates the relationship between performance dimensions of cognitive trust and medical tourists’ revisit intention to India.

Originality/value

The study’s findings have significant theoretical and managerial implications as they explore the effect of cognitive and affective trust on medical tourists’ the revisit intention to visit an emerging economy, considering the country’s image as a moderator.

目的

本研究旨在调查认知和情感信任对印度等发展中国家医疗游客重游意愿的影响, 重点关注国家形象的调节作用。

设计/方法/途径

本研究采用基于偏最小二乘的结构方程模型, 使用 297 名从国外到印度接受治疗的医疗游客的数据来检验假设。

研究结果

本研究的结果证实, 认知信任的所有维度, 即医疗服务提供者的专业知识、绩效和声誉, 对印度医疗游客的重游意愿产生积极且显着的影响。相比之下, 情感信任的两个维度都没有对印度医疗游客的重游意愿产生显着影响。这项研究还证实, 国家形象显着调节认知信任绩效维度与医疗游客重访印度意愿之间的关系。

原创性/价值

该研究的结果具有重要的理论和管理意义, 因为他们探讨了认知和情感信任对医疗游客重访新兴经济体的意愿的影响, 并考虑到该国作为调节者的形象。

Propósito

Este estudio tiene como objetivo investigar la influencia de la confianza cognitiva y afectiva en la intención de volver a visitar a un país en desarrollo como la India por parte de turistas médicos, centrándose en el papel de la imagen del país como moderador.

Diseño/metodología/enfoque

Este estudio empleó un modelo de ecuaciones estructurales parcial basado en mínimos cuadrados para probar las hipótesis utilizando datos de 297 turistas médicos que visitaron la India desde el extranjero para recibir tratamiento.

Hallazgos

Los hallazgos de este estudio confirmaron que todas las dimensiones de la confianza cognitiva, es decir, la experiencia percibida, el desempeño y la reputación de los proveedores de servicios de atención médica, tienen un impacto positivo y significativo en la intención de volver a visitar a la India por parte de los turistas médicos. Por el contrario, ninguna de las dos dimensiones de la confianza afectiva tiene un efecto significativo en la intención de volver a visitar la India por parte de los turistas médicos. Este estudio también confirmó que la imagen del país modera significativamente la relación entre las dimensiones de desempeño de la confianza cognitiva y la intención de los turistas médicos de volver a visitar la India.

Originalidad/Valor

Los hallazgos del estudio tienen importantes implicaciones teóricas y administrativas, ya que exploran el efecto de la confianza cognitiva y afectiva en la intención de los turistas médicos de visitar una economía emergente, considerando la imagen del país como moderador.

Article
Publication date: 28 June 2023

Lin Yang, Qiming Li and Wei Pan

This research aims to argue that manual geometric modeling is blocking the building information modeling (BIM) promotion to small-size companies. Therefore, it is necessary to…

Abstract

Purpose

This research aims to argue that manual geometric modeling is blocking the building information modeling (BIM) promotion to small-size companies. Therefore, it is necessary to study a manner of automated modeling to reduce the dependence of BIM implementation on manpower. This paper aims to make a study into such a system to propose both its theory and prototype.

Design/methodology/approach

This research took a prototyping as the methodology, which consists of three steps: (1) proposing a theoretical framework supporting automated geometric modeling process; (2) developing a prototype system based on the framework; (3) conducting a testing for the prototype system on its performance.

Findings

Previous researches into automated geometric modeling only respectively focused on a specific procedure for a particular engineering domain. No general model was abstracted to support generic geometric modeling. This paper, taking higher level of abstraction, proposed such a model that can describe general geometric modeling process to serve generic automated geometric modeling systems.

Research limitations/implications

This paper focused on only geometric modeling, skipping non-geometric information of BIM. A complete BIM model consists of geometric and non-geometric data. Therefore, the method of combination of them is on the research agenda.

Originality/value

The model proposed by this paper provide a mechanism to translate engineering geometric objects into textual representations, being able to act as the kernel of generic automated geometric modeling systems, which are expected to boost BIM promotion in industry.

Details

Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

Keywords

Article
Publication date: 24 April 2024

Haiyan Song and Hanyuan Zhang

The aim of this paper is to provide a narrative review of previous research on tourism demand modelling and forecasting and potential future developments.

Abstract

Purpose

The aim of this paper is to provide a narrative review of previous research on tourism demand modelling and forecasting and potential future developments.

Design/methodology/approach

A narrative approach is taken in this review of the current body of knowledge.

Findings

Significant methodological advancements in tourism demand modelling and forecasting over the past two decades are identified.

Originality/value

The distinct characteristics of the various methods applied in the field are summarised and a research agenda for future investigations is proposed.

目的

本文旨在对先前关于旅游需求建模和预测的研究进行叙述性回顾并对未来潜在发展进行展望。

设计/方法

本文采用叙述性回顾方法对当前知识体系进行了评论。

研究结果

本文确认了过去二十年旅游需求建模和预测方法论方面的重要进展。

独创性

本文总结了该领域应用的各种方法的独特特征, 并对未来研究提出了建议。

Objetivo

El objetivo de este documento es ofrecer una revisión narrativa de la investigación previa sobre modelización y previsión de la demanda turística y los posibles desarrollos futuros.

Diseño/metodología/enfoque

En esta revisión del marco actual de conocimientos sobre modelización y previsión de la demanda turística y los posibles desarrollos futuros,se adopta un enfoque narrativo.

Resultados

Se identifican avances metodológicos significativos en la modelización y previsión de la demanda turística en las dos últimas décadas.

Originalidad

Se resumen las características propias de los diversos métodos aplicados en este campo y se propone una agenda de investigación para futuros trabajos.

Open Access
Article
Publication date: 29 March 2023

Tianchong Wang and Baimin Suo

With the growing climate problem, it has become a consensus to develop low-carbon technologies to reduce emissions. Electric industry is a major carbon-emitting industry…

Abstract

Purpose

With the growing climate problem, it has become a consensus to develop low-carbon technologies to reduce emissions. Electric industry is a major carbon-emitting industry, accounting for 35% of global carbon emissions. Universities, as an important patent application sector in China, promote their patent application and transformation to enhance Chinese technological innovation capability. This study aims to analyze low-carbon electricity technology transformation in Chinese universities.

Design/methodology/approach

This paper uses IncoPat to collect patent data. The trend of low-carbon electricity technology patent applications in Chinese universities, the status, patent technology distribution, patent transformation status and patent transformation path of valid patent is analyzed.

Findings

Low-carbon electricity technology in Chinese universities has been promoted, and the number of patents has shown rapid growth. Invention patents proportion is increasing, and the transformation has become increasingly active. Low-carbon electricity technology in Chinese universities is mainly concentrated in individual cooperative patent classification (CPC) classification numbers, and innovative technologies will be an important development for electric reduction.

Originality/value

This paper innovatively uses valid patents to study the development of low-carbon electricity technology in Chinese universities, and defines low-carbon technology patents by CPC patent classification system. A new attempt focuses on the development status and direction in low-carbon electricity technology in Chinese universities, and highlights the contribution of valid patents to patent value.

Details

International Journal of Climate Change Strategies and Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1756-8692

Keywords

Article
Publication date: 17 May 2024

Daoqin Han, Yue Sun, Yuan Wen, Lixun Su and Jiayuan Tan

The primary aim of this study is to resolve a longstanding debate concerning the impact of takeover premiums on post-acquisition performance. Specifically, we aim to examine how…

Abstract

Purpose

The primary aim of this study is to resolve a longstanding debate concerning the impact of takeover premiums on post-acquisition performance. Specifically, we aim to examine how acquirers' marketing capabilities and payment methods moderate the relationship between takeover premiums and post-acquisition performance.

Design/methodology/approach

This study employs linear regression to examine the relationship between acquirers' marketing capabilities, payment methods, takeover premiums and post-acquisition performance in the Chinese manufacturing industry. Data for the analysis were collected from both mergers and acquisition (M&A) announcements and the China Stock Market & Accounting Research Database (CSMAR), covering 1,169 acquisitions from 2012 to 2021.

Findings

The results indicate that acquirers' marketing capabilities moderate the impact of takeover premiums on post-acquisition performance. When acquirers possess strong marketing capabilities, takeover premiums increase post-acquisition performance. Conversely, when acquirers lack strong marketing capabilities, takeover premiums are not significantly related to post-acquisition performance. Additionally, it is noteworthy that takeover premiums show a positive correlation with post-acquisition performance, irrespective of the payment methods employed by acquirers for target firms.

Originality/value

Given that takeover premiums are essential for acquiring resources from target firms, it is crucial to maximize the value of these acquired resources. Our findings suggest that acquirers with weaker marketing capabilities before the deal should consider a more conservative approach to pricing target firms.

Details

Marketing Intelligence & Planning, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0263-4503

Keywords

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