You-De Dai, Wen-Long Zhuang, Po-Kai Yang, Yi-Jun Wang and Tzung-Cheng Huan
Drawing on leader-member exchange theory and regulatory focus theory, the purpose of this study is to explore the effects of hotel employees’ regulatory foci on their voice…
Abstract
Purpose
Drawing on leader-member exchange theory and regulatory focus theory, the purpose of this study is to explore the effects of hotel employees’ regulatory foci on their voice behavior and the moderating role of leader-member exchange.
Design/methodology/approach
The questionnaire includes demographics, regulatory foci, leader-member exchange and voice behavior sections. The data was collected via a survey of 10 international tourist hotels in Taiwan and 479 valid questionnaires were completed. Confirmatory factor analysis and path analysis were used to test the composite reliability, discriminant validity and convergent validity. Multiple regression analysis was used to test the hypotheses.
Findings
The outcome of this study indicates that both promotion focus and prevention focus can benefit employees’ voice behavior; however, prevention-focused employees have more positive voice behavior than promotion-focused employees. In addition, the leader-member exchange can moderate the relationship between regulatory foci and voice behavior.
Originality/value
This is an empirical study in the hotel field to examine the moderating effects of leader-member exchange on the relationships between regulatory foci and voice behavior. This research is contributed toward human resource management literature in the hospitality and tourism domain. Practices for managers and suggestions for future research are discussed.
Details
Keywords
Qi Sun, Ying Zhang, Yue Sun, Yi-Jun Chen, Xin Li, Qian-Wen Huang, Qi-Zheng Li and Laili Wang
With the accumulation of theoretical research and practical experience in the field of garment production research, it is imperative to methodically analyze and reflect on the…
Abstract
Purpose
With the accumulation of theoretical research and practical experience in the field of garment production research, it is imperative to methodically analyze and reflect on the achievements that have been made. This review aims to systematically map the academic landscape of research articles on garment production, elucidate the evolutionary trajectory of this discipline, identify emerging research frontiers and provide insights into its prospects.
Design/methodology/approach
Based on the Web of Science core database, 307 research articles were systematically analyzed by CiteSpace software. The study employed bibliometric and thematic analyses to offer in-depth insights into the dynamics and evolution of research on garment production.
Findings
Results reveal that keyword analysis emphasizes the significance of topics such as apparel assembly line, lean production, circular economy, fuzzy logic, global production networks, social sustainability and supply chain management in garment production research. Citation analysis demonstrates that articles related to environmental impact, supply chain management, production process and production technology constitute the knowledge base and core of garment production research. Eight principal research themes emerge: customized garment production, production technology, quality assurance, equipment, production lines, supply chain management, environmental impact and social and human impact. Future research hotspots will focus more on sustainable, intelligent and digital clothing production.
Originality/value
The findings systematically sort out the hotspots and trends in garment production, establish knowledge structures and display them through intuitive representations. The rich insights set the stage for the development of garment production and provide future guidance for theoretical research.
Details
Keywords
Based on organizational task decomposition, an extensive role‐based access control (ERBAC) model is proposed in this paper. In ERBAC, the abstract concept of “permission” in…
Abstract
Based on organizational task decomposition, an extensive role‐based access control (ERBAC) model is proposed in this paper. In ERBAC, the abstract concept of “permission” in RBAC96 is substituted by a set of “tasks”, mutual exclusion of basic business actions and mutual exclusion of roles are presented, and separation of duty (SoD) policy is defined formally. Furthermore, a method of identifying mutual exclusion of roles is described, and static SoD and dynamic SoD algorithms are discussed. This paper is significant for modeling and implementing business‐oriented SoD policy for information systems.
Details
Keywords
Yen-Liang Chen, Li-Chen Cheng and Yi-Jun Zhang
A necessary preprocessing of document classification is to label some documents so that a classifier can be built based on which the remaining documents can be classified. Because…
Abstract
Purpose
A necessary preprocessing of document classification is to label some documents so that a classifier can be built based on which the remaining documents can be classified. Because each document differs in length and complexity, the cost of labeling each document is different. The purpose of this paper is to consider how to select a subset of documents for labeling with a limited budget so that the total cost of the spending does not exceed the budget limit, while at the same time building a classifier with the best classification results.
Design/methodology/approach
In this paper, a framework is proposed to select the instances for labeling that integrate two clustering algorithms and two centroid selection methods. From the selected and labeled instances, five different classifiers were constructed with good classification accuracy to prove the superiority of the selected instances.
Findings
Experimental results show that this method can establish a training data set containing the most suitable data under the premise of considering the cost constraints. The data set considers both “data representativeness” and “data selection cost,” so that the training data labeled by experts can effectively establish a classifier with high accuracy.
Originality/value
No previous research has considered how to establish a training set with a cost limit when each document has a distinct labeling cost. This paper is the first attempt to resolve this issue.
Details
Keywords
Duen-Ren Liu, Yu-Shan Liao and Jun-Yi Lu
Providing online news recommendations to users has become an important trend for online media platforms, enabling them to attract more users. The purpose of this paper is to…
Abstract
Purpose
Providing online news recommendations to users has become an important trend for online media platforms, enabling them to attract more users. The purpose of this paper is to propose an online news recommendation system for recommending news articles to users when browsing news on online media platforms.
Design/methodology/approach
A Collaborative Semantic Topic Modeling (CSTM) method and an ensemble model (EM) are proposed to predict user preferences based on the combination of matrix factorization with articles’ semantic latent topics derived from word embedding and latent topic modeling. The proposed EM further integrates an online interest adjustment (OIA) mechanism to adjust users’ online recommendation lists based on their current news browsing.
Findings
This study evaluated the proposed approach using offline experiments, as well as an online evaluation on an existing online media platform. The evaluation shows that the proposed method can improve the recommendation quality and achieve better performance than other recommendation methods can. The online evaluation also shows that integrating the proposed method with OIA can improve the click-through rate for online news recommendation.
Originality/value
The novel CSTM and EM combined with OIA are proposed for news recommendation. The proposed novel recommendation system can improve the click-through rate of online news recommendations, thus increasing online media platforms’ commercial value.
Details
Keywords
Lin-sheng Liu, Qian Lin, Hai-feng Wu, Yi-Jun Chen and Liu-Lin Hu
The design and implementation of a broadband quasi-monolithic microwave integrated circuit (q-MMIC) power amplifier (PA) is presented for 0.2 to 2.2 GHz applications.
Abstract
Purpose
The design and implementation of a broadband quasi-monolithic microwave integrated circuit (q-MMIC) power amplifier (PA) is presented for 0.2 to 2.2 GHz applications.
Design/methodology/approach
To obtain an efficient, high-gain and high-power performance with in a compact and low-cost size, the prototype is based on Gallium nitride (GaN) on SiC 0.25-µm transistors, whereas the passive matching networks are realized on an AlN substrate as thin film circuit.
Findings
Measured results of the q-MMIC PA across the 0.2 to 2.2 GHz band show at least 32 ± 3 dB small-signal gains, an output power of 7 to 12 W and an average power add efficiency greater than 54%. The q-MMIC occupies an area of 12.8 × 14.5 mm2.
Originality/value
To the best of the authors’ knowledge, this work reports the first full integrated PA which covers the frequency range of 0.2 to 2.2 GHz and achieves the combination of highest gain, about 10 W output power, together with the smallest component size among all published GaN PAs to date.
Details
Keywords
Xiaoxiao Shi, Wei Shan, Zhaohua Du, Richard David Evans and Qingpu Zhang
Although online reviews have become a key source of information for consumer purchasing decisions, little is known about how the concreteness of language used in these reviews…
Abstract
Purpose
Although online reviews have become a key source of information for consumer purchasing decisions, little is known about how the concreteness of language used in these reviews influences perceptions of deception. This study aims to address this important gap by drawing on psycholinguistic research and Language Expectancy Theory to examine how and when the concreteness of online reviews (abstract vs concrete) impacts consumers’ perceived deception.
Design/methodology/approach
Two scenario-based experiments were conducted to examine how the concreteness of online reviews (abstract vs concrete) influences consumers’ perceptions of deception, considering the mediating role of psychological distance to online reviews and the moderating effects of Machiavellianism (Mach) and reviewer identity disclosure.
Findings
Online reviews that include concrete language lead to lower perceived deception by reducing consumers’ psychological distance from the review. For consumers with higher levels of Mach, online reviews written in abstract (vs concrete) language result in higher perceived deception via psychological distance, while for consumers with lower Mach, online reviews written in concrete (vs abstract) language result in higher perceived deception via psychological distance.
Research limitations/implications
To the best of the authors’ knowledge, this study is one of the first to highlight the relevance of linguistic style (i.e. concrete review vs abstract review) on consumers’ perceived deception toward online reviews in the context of e-commerce.
Practical implications
The framework enables managers of online retailing platforms to identify the most effective strategies to decrease consumers’ perceived deception via the appropriate utilize of linguistic styles of online reviews.
Originality/value
This study contributes to both theory and practice by deepening knowledge of how and when the concreteness of online reviews (abstract vs concrete) affects consumers’ perceived deception and by helping managers of online retailing platforms make the most effective\ strategies for reducing consumers’ perceived deception toward online reviews during online shopping.
Details
Keywords
Eun Joo Kim, Esther L. Kim, Minji Kim and Jason Tang
This study aims to identify how restaurants can effectively initiate communication via social media to promote ethical dining behaviors. This research investigates the…
Abstract
Purpose
This study aims to identify how restaurants can effectively initiate communication via social media to promote ethical dining behaviors. This research investigates the psychological mechanism of how the matching effect of color and a sustainability activity influence customer attitude toward a restaurant and the role of perceived credibility and green image.
Design/methodology/approach
Two experimental studies were conducted. Study 1 used a 2 food source (non-sustainable vs sustainable) × 2 color consistency (inconsistent vs consistent) factorial design (n = 231). Study 2 used a 2 food origin (world-famous vs locally renowned) × 2 color consistency (inconsistent vs consistent) factorial design (n = 220).
Findings
The results indicate that the matching effect from the marketing effect of sustainability significantly promotes customer attitudes and visit intentions when background color is consistent. An unexpected matching effect was found between a non-sustainable restaurant using world-famous food with its associated color. This research demonstrates a moderation effect of credibility and a mediation effect of green image to explain the ethical decision-making process for customers.
Practical implications
The findings provide suggestions for restaurant marketers to effectively advertise sustainability initiatives and practices using color as a marketing tool via social media.
Originality/value
This research is one of the earliest studies to investigate the effect of color consistency with primary information to demonstrate how consumers respond to restaurant sustainability in social media messages using local food.
Details
Keywords
Wen-Qi Ruan, Fang Deng, Shu-Ning Zhang and Yan Zhou
Negative rumors damage the destination’s image and tourist experience. This study aims to compare how rumor correction sources (government vs business vs tourist) affect user…
Abstract
Purpose
Negative rumors damage the destination’s image and tourist experience. This study aims to compare how rumor correction sources (government vs business vs tourist) affect user online citizenship behavior (UOCB).
Design/methodology/approach
Based on the stimuli-organism-response framework, a hypothetical model was established from rumor correction to UOCB. Three scenario experiments (more than 1,000 valid samples) were designed. Study 1 illustrated the effects of different rumor corrections, Study 2 was designed to verify the mediating effects of sympathy and perceived information authenticity (PIA) and the robustness of results was demonstrated in Study 3.
Findings
Government correction elicited the highest sympathy and PIA. Business correction was less than tourist correction in arousing sympathy but better than tourist correction in enhancing PIA. Sympathy and PIA had a mediating effect on the relationship between rumor correction and UOCB.
Practical implications
This study helps to identify the different advantages of rumor correctors and provides insights to prevent the deterioration of negative tourism rumors or even reverse these crises.
Originality/value
This study innovates research perspective of negative tourism rumor governance, expands the understanding of the effect and process of rumor correction and enriches the research content of tourism crisis communication.
目的
负面谣言破坏目的地形象和游客体验。本研究比较谣言纠正来源(政府、企业、游客)对用户在线公民行为的影响。
设计/方法/途径
基于刺激-有机体-反应框架, 搭建谣言纠正到用户在线公民行为的假设模型, 并设计3个情境实验(超过1000个有效样本)。实验1验证不同谣言纠正来源的纠正效果, 实验2证明同情和感知信息真实性的中介作用, 实验3测试实验结果的稳健性。
研究发现
政府纠正引发最高的同情和感知信息真实性。企业纠正在唤起同情时不足于游客纠正, 但在增强感知信息真实性时优于旅游纠正。同情和感知信息真实性在谣言纠正与用户在线公民行为之间发挥中介作用。
实践意义
有助于识别各个谣言纠正主体的不同优势, 为防止旅游负面谣言恶化甚至转危为安提供见解。
原创性/价值
为旅游负面谣言治理提供新的研究视角, 拓展了对谣言纠正效果和过程的认识, 丰富了旅游危机沟通的研究内容。
Propósito
Los rumores negativos dañan la imagen del destino y la experiencia del turista. Este estudio compara cómo afectan las fuentes de corrección de rumores (gobierno vs empresas vs turista) en el comportamiento cívico online de los usuarios (CCOU).
Diseño/metodología/enfoque
Sobre la base del marco estímulo-organismo-respuesta, se estableció un modelo hipotético desde la corrección de rumores hasta el CCOU. Se diseñaron tres escenarios experimentales (más de 1.000 muestras válidas). El Estudio 1 ilustró los efectos de las diferentes correcciones de rumores, el Estudio 2 se diseñó para verificar los efectos mediadores de la simpatía y la autenticidad percibida de la información (API), y la solidez de los resultados se demostró en el Estudio 3.
Hallazgos
La corrección del gobierno obtuvo la mayor simpatía y API. La corrección de la empresa despertó menos simpatía que la corrección del turista, pero fue mejor para generar API. La simpatía y la API tuvieron un efecto mediador en la relación entre la corrección del rumor y el CCOU.
Implicaciones practices
Ayuda a identificar las diferentes ventajas de los correctores de rumores y proporciona información para prevenir el deterioro de los rumores turísticos negativos o incluso revertir estas crisis.
Originalidad/valor
Proporciona una nueva perspectiva de investigación de la gobernanza del rumor turístico negativo, amplía la comprensión del efecto y el proceso de corrección de rumores y enriquece el contenido de la investigación de la comunicación de crisis turísticas.