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1 – 10 of 10Fangxuan (Sam) Li, Yuanyuan Shang and Qianqian Su
The purpose of this study is to propose and test a model that is composed of immersion, perceived attractiveness, happiness, satisfaction and behavioral intention in light of the…
Abstract
Purpose
The purpose of this study is to propose and test a model that is composed of immersion, perceived attractiveness, happiness, satisfaction and behavioral intention in light of the extended cognitive-affective-conative model.
Design/methodology/approach
To test the suggested research model, 271 genuine on-site questionnaires were gathered.
Findings
Immersion was found to positively affect perceived attractiveness and happiness. It is also suggested that perceived attractiveness and happiness mediate the association between immersion and tourist satisfaction.
Research limitations/implications
This study also has advantageous marketing and management implications for destination managers and marketers to improve tourist satisfaction.
Originality/value
As per the authors’ knowledge, this is the very first study that inspects the mechanism by which how immersion influences tourist satisfaction.
目的
利用拓展的认知-情感-意动理论, 本研究旨在提出和测试一个将沉浸感、感知吸引力、幸福感和行为意图联系起来的模型。
设计/方法
本研究收集线下有效样本271份。
发现
本研究发现沉浸对感知吸引力和幸福感有正向影响。本研究还提出感知吸引力和幸福感在沉浸感和游客满意度之间的关系中起中介作用。
研究意义
本研究还为目的地营销人员提供有用的营销和管理启示, 以提高游客满意度。
创意/价值
这是探索沉浸感如何影响游客满意度的机制的研究首批研究之一。
Propósito
Este estudio tiene como objetivo proponer y probar un modelo que vincula la inmersión, el atractivo percibido, la felicidad, la satisfacción y la intención de comportamiento basado en el modelo cognitivo-afectivo-conativo (CAC) extendido.
Diseño/metodología/enfoque
Se recogieron un total de 271 cuestionarios in situ válidos para probar el modelo de investigación propuesto.
Hallazgos
Se encontró que la inmersión afecta positivamente el atractivo y la felicidad percibidos. También se propone que el atractivo percibido y la felicidad median la relación entre la inmersión y la satisfacción del turista.
Limitaciones/implicaciones de la investigación
Este estudio también proporciona implicaciones útiles de marketing y gestión para que los comercializadores de destinos mejoren la satisfacción del turista.
Originalidad/valor
Este es el primer estudio que explora el mecanismo detrás de cómo la inmersión influye en la satisfacción del turista.
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Keywords
Qianqian Guo, Huawen Shen, Daisy X.F. Fan and Dimitrios Buhalis
This research paper aims to explore whether and how perceived corporate social responsibility (CSR) influences employee-associated outcomes in ways that are controllable by…
Abstract
Purpose
This research paper aims to explore whether and how perceived corporate social responsibility (CSR) influences employee-associated outcomes in ways that are controllable by managers. Drawing from the theories of self-determination and social identity, this study investigates the mediating effects of psychological needs fulfillment and organizational identification in exploring the mechanisms that link perceived CSR to employee job performances of Chinese state-owned tourism companies.
Design/methodology/approach
Survey was used to collect original data from ten Chinese state-owned tourism companies to examine the proposed model. Data was analyzed through structural equation modeling.
Findings
Employees’ perceptions of CSR are found to demonstrate significantly effective associations with their job performance. Moreover, results support that the influences of CSR on staff’s job performance are also conveyed through psychological needs fulfillment (competence) and organizational identification (i.e. cognitive identification and affective identification).
Practical implications
Findings not only provide strategic ideas and operational tactics for tourism managers to devise CSR strategies and allocate CSR resources but also offer inspirations to integrate CSR initiatives with human resource management strategies.
Originality/value
This study diverts the research of CSR from the organizational level to the individual level. This study also explores the mechanism of psychological needs fulfillment and organizational identification underlying processes in the employee perceptions of CSR–job performance linkages.
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Keywords
Qianqian Zhang and Huichen Zhang
The purpose of this paper is to evaluate the effect of micro-nano mixed super-hydrophobic structure on corrosion resistance and mechanism of magnesium alloys.
Abstract
Purpose
The purpose of this paper is to evaluate the effect of micro-nano mixed super-hydrophobic structure on corrosion resistance and mechanism of magnesium alloys.
Design/methodology/approach
A super-hydrophobic surface was fabricated on AZ91 and WE43 magnesium alloys by laser etching and micro-arc oxidation (MAO) with SiO2 nanoparticles coating and low surface energy material modification. The corrosion resistance properties of the prepared super-hydrophobic surfaces were studied based on polarization curves and immersion tests.
Findings
Compared with bare substrates, the corrosion resistance of super-hydrophobic surfaces was improved significantly. The corrosion resistance of super-hydrophobic surface is related to micro-nano composite structure, static contact angle and pretreatment method. The more uniform the microstructure and the larger the static contact angle, the better the corrosion resistance of the super-hydrophobic surface. The corrosion resistance of super-hydrophobic by MAO is better than that of laser machining. Corrosion of super-hydrophobic surface can be divided into air valley action, physical shielding, pretreatment layer action and substrate corrosion.
Originality/value
The super-hydrophobic coatings can reduce the contact of matrix with water so that a super-hydrophobic coating would be an effective way for magnesium alloy anti-corrosion. Therefore, the corrosion resistance properties and mechanism of the prepared super-hydrophobic magnesium alloys were investigated in detail.
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The study aims to enhance energy efficiency within the high-energy consuming construction industry. It explores the spatial-temporal dynamics and distribution patterns of total…
Abstract
Purpose
The study aims to enhance energy efficiency within the high-energy consuming construction industry. It explores the spatial-temporal dynamics and distribution patterns of total factor energy efficiency (TFEE) across China’s construction industry, aiming to inform targeted emission reduction policies at provincial and city levels.
Design/methodology/approach
Utilizing a three-stage super-efficiency SBM-DEA model that integrates carbon emissions, the TFEE in 30 Chinese provinces and cities from 2004 to 2019 is assessed. Through kernel density estimation and exploratory spatial data analysis, the dynamic evolution and spatial patterns of TFEE are examined.
Findings
Analysis reveals that environmental investments positively impact TFEE, whereas Gross Regional Product (GRP) exerts a negative influence. R&D expenditure intensity and marketization show mixed effects. Excluding environmental and random factors, TFEE averages declined, aligning more closely with actual development trends, showing a gradual decrease from east to west. TFEE exhibited fluctuating growth with a trend moving from inefficient clusters to a more even distribution. Spatially, TFEE demonstrated aggregation effects and characteristics of space-time transition.
Originality/value
This research employs the three-stage super-efficiency SBM-DEA model to measure the total factor energy efficiency of the construction industry, taking into account external environment, random disturbances, and multiple effective decision-making units. It also evaluates energy efficiency changes before and after removing disturbances and comprehensively examines regional and temporal differences from static and dynamic, overall and phased perspectives. Additionally, Moran scatter plots and LISA cluster maps are used to objectively analyze the spatial agglomeration and factors influencing energy efficiency.
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Wen Lou, Jiangen He, Qianqian Xu, Zhijie Zhu, Qiwen Lu and Yongjun Zhu
The effectiveness of rhetorical structure is essential to communicate key messages in research articles (RAs). The interdisciplinary nature of library and information science…
Abstract
Purpose
The effectiveness of rhetorical structure is essential to communicate key messages in research articles (RAs). The interdisciplinary nature of library and information science (LIS) has led to unclear patterns and practice of using rhetorical structures. Understanding how RAs are constructed in LIS to facilitate effective scholarly communication is important. Numerous studies investigated the rhetorical structure of RAs in a range of disciplines, but LIS articles have not been well studied.
Design/methodology/approach
In this study, the authors encoded rhetorical structures to 2,216 articles in the Journal of the Association for Information Science and Technology covering a period from 2001 to 2018 with the approaches of co-word analysis and visualization. The results show that the predominant rhetorical structures used by LIS researchers follow the sequence of Introduction-Literature Review-Methodology-Result-Discussion-Conclusion (ILMRDC).
Findings
The authors' temporal examination reveals the shifts of evolutionary pattern of rhetorical structure in 2008 and 2014. More importantly, the authors' study demonstrates that rhetorical structures have varied greatly across research areas in LIS community. For example, scholarly communication and scientometrics studies tend to exclude literature review in articles.
Originality/value
The present paper offers a first systematic examination of how rhetorical structures are used in a representative sample of a LIS journal, especially from a temporal perspective.
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Keywords
Yiwei Zhao, Yindong Sun, Qianqian Zhou, Caiyun Cui and Yong Liu
The aim of this paper is to research the acceptance mechanism of building information modeling (BIM) technology and to explore the differences among…
Abstract
Purpose
The aim of this paper is to research the acceptance mechanism of building information modeling (BIM) technology and to explore the differences among Architecture/Engineering/Construction (A/E/C) professionals with different individual characteristics. The proposed acceptance mechanism of BIM technology is intended to be used by industry stakeholders to propose decisions and measures, and improve the degree of BIM adoption.
Design/methodology/approach
Traditional hypothesis testing is adopted by the current study to empirically research the specific mechanism of A/E/C professionals accepting BIM technologies. In the one phase, a conceptual model based on technology acceptance model (TAM) and technology organization environment (TOE) theory was established and a large-scale questionnaire survey was conducted. In the other phase, structural equation modeling (SEM) was used to analyze acquired sample data, so as to empirically test the validity of the proposed linkage.
Findings
The results show first that perceived ease of use has no significant influence on perceived usefulness, and perceived usefulness has no significant effect on behavior intention as well. Second, BIM technical features and government BIM policies have positive effects on perceived usefulness, BIM technical features and organization supports have positive effects on perceived ease of use. Third, the BIM acceptance mechanism of A/E/C professionals is diverse from respondents with different characteristics, e.g. regions and working time.
Originality/value
The authors highlight the large sample size, as well as the nationwide context, of the questionnaire survey. Meanwhile, acceptance differences among A/E/C professionals with different demographic characteristics have been clarified using profound data and t-test. The findings of this study enrich the research on the acceptance mechanism of BIM technology, and contribute to relevant stakeholders taking targeted measures to promote the effective application of BIM technology nationwide.
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Yixing Yang and Jianxiong Huang
The study aims to provide concrete service remediation and enhancement for LLM developers such as getting user forgiveness and breaking through perceived bottlenecks. It also aims…
Abstract
Purpose
The study aims to provide concrete service remediation and enhancement for LLM developers such as getting user forgiveness and breaking through perceived bottlenecks. It also aims to improve the efficiency of app users' usage decisions.
Design/methodology/approach
This paper takes the user reviews of the app stores in 21 countries and 10 languages as the research data, extracts the potential factors by LDA model, exploratively takes the misalignment between user ratings and textual emotions as user forgiveness and perceived bottleneck and uses the Word2vec-SVM model to analyze the sentiment. Finally, attributions are made based on empathy.
Findings
The results show that AI-based LLMs are more likely to cause bias in user ratings and textual content than regular APPs. Functional and economic remedies are effective in awakening empathy and forgiveness, while empathic remedies are effective in reducing perceived bottlenecks. Interestingly, empathetic users are “pickier”. Further social network analysis reveals that problem solving timeliness, software flexibility, model updating and special data (voice and image) analysis capabilities are beneficial in breaking perceived bottlenecks. Besides, heterogeneity analysis show that eastern users are more sensitive to the price factor and are more likely to generate forgiveness through economic remedy, and there is a dual interaction between basic attributes and extra boosts in the East and West.
Originality/value
The “gap” between negative (positive) user reviews and ratings, that is consumer forgiveness and perceived bottlenecks, is identified in unstructured text; the study finds that empathy helps to awaken user forgiveness and understanding, while it is limited to bottleneck breakthroughs; the dataset includes a wide range of countries and regions, findings are tested in a cross-language and cross-cultural perspective, which makes the study more robust, and the heterogeneity of users' cultural backgrounds is also analyzed.
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Keywords
Dongyuan Zhao, Zhongjun Tang and Duokui He
With the intensification of market competition, there is a growing demand for weak signal identification and evolutionary analysis for enterprise foresight. For decades, many…
Abstract
Purpose
With the intensification of market competition, there is a growing demand for weak signal identification and evolutionary analysis for enterprise foresight. For decades, many scholars have conducted relevant research. However, the existing research only cuts in from a single angle and lacks a systematic and comprehensive overview. In this paper, the authors summarize the articles related to weak signal recognition and evolutionary analysis, in an attempt to make contributions to relevant research.
Design/methodology/approach
The authors develop a systematic overview framework based on the most classical three-dimensional space model of weak signals. Framework comprehensively summarizes the current research insights and knowledge from three dimensions of research field, identification methods and interpretation methods.
Findings
The research results show that it is necessary to improve the automation level in the process of weak signal recognition and analysis and transfer valuable human resources to the decision-making stage. In addition, it is necessary to coordinate multiple types of data sources, expand research subfields and optimize weak signal recognition and interpretation methods, with a view to expanding weak signal future research, making theoretical and practical contributions to enterprise foresight, and providing reference for the government to establish weak signal technology monitoring, evaluation and early warning mechanisms.
Originality/value
The authors develop a systematic overview framework based on the most classical three-dimensional space model of weak signals. It comprehensively summarizes the current research insights and knowledge from three dimensions of research field, identification methods and interpretation methods.
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Adalgisa Battistelli, Carlo Odoardi, Nicola Cangialosi, Gennaro Di Napoli and Luciano Piccione
This study aims to explore whether expected image outcomes (risk and gain) represent a mechanism through which perceived organizational climates, in the dimensions of tradition…
Abstract
Purpose
This study aims to explore whether expected image outcomes (risk and gain) represent a mechanism through which perceived organizational climates, in the dimensions of tradition and reflexivity, affect key components of the innovation process (idea generation and idea realization).
Design/methodology/approach
Structural equation models have been conducted to empirically analyse 3 waves of longitudinal survey data from an Italian military organization (N = 410).
Findings
Results confirmed that image outcome expectations mediated the effects of perceived climate on idea generation, and that a serial mediation of image expectations and idea generation those on idea realization. Additionally, reflexivity was directly associated with idea generation.
Practical implications
The findings offer guidance for organizations that aim to strengthen employee-driven innovation, highlighting the importance of organizational climate and image outcomes expectations.
Originality/value
Advancing from existing organizational behaviour and individual innovation literature, this article contributes to extend knowledge about the role of organizational climate and image outcome expectations in enhancing innovative work behaviours.
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