Search results

The purpose of this paper is to gain more insight into the relationship between social media activities and thinking styles, and its potential mechanism.

The current study conducted four studies using an experimental method and eye-tracking method to evaluate prediction.

Results from studies 1 and 2 showed that social media activities influence individuals’ self-construal, and the impact of self-construal on the relative reliance on cognitive vs affective thinking styles. Study 3 supports the hypothesis that social media activities influence individual’s thinking styles, and self-construal is a critical mediator in this process. Furthermore, the authors replicated these findings using an experimental method and eye-tracking method (Study 4), which enabled us to better understand the consumer’s psychological experience when using social media.

This paper contributes to the social media activity literature in the following ways. First, this research advances the knowledge of social media by demonstrating that social media activities can have significant effects on thinking styles. Second, the current research brings important insights to the literature on self-construal. Finally, using eye-tracking methods, the authors also provided some new insights on consumer thinking and behavior.

The purpose of this paper is to form good cutting qualities in glass-epoxy material for opening flexible areas of rigid-flex printed circuit boards (PCB) by ultraviolet (UV) laser cutting.

The cut width and cut depth of glass-epoxy materials were both observed to evaluate their cutting qualities. The heat affected zone (HAZ) of the glass-epoxy material was also investigated after UV laser cutting. The relationships between the cut width and the parameters of various factors were analyzed using an orthogonal experimental design.

The cut width of the glass-epoxy material gradually increased with the increment of the laser power and Z-axis height, while cutting speed and laser frequency had less effect on the cut width. Optimal parameters of the UV laser process for cutting glass-epoxy material were obtained and included a laser power of 6W, a cutting speed of 170 mm/s, a laser frequency of 50 kHz and a Z-axis height of 0.6 mm, resulting in an average cut width of 25 μm and small HAZ.

Flexible areas of rigid-flex PCBs are in good agreement with the cutting qualities of the UV laser. The use of a UV laser process could have important potential for cutting glass-epoxy materials used in the PCB industry.

The purpose of this paper is to investigate how various antecedents influence customer loyalty in the mobile phone industry and how customer demographic variables moderate such relationships. A comprehensive model is proposed and tested empirically that features six antecedents identified in recent industry literature – customer satisfaction, perceived service quality, value, switching costs, trust, and corporate image – and common demographic variables.

Data were collected using a field questionnaire survey of mobile phone users in Pakistan. Structural equation modeling (SEM) and multi-group SEM evaluate direct and moderating effects.

Findings suggest that of six antecedents, customer satisfaction, perceived switching costs, service quality, and perceived value have positive and significant relationships with customer loyalty. Among the demographic variables, only income and area of residence moderate the relationships between customer loyalty and the antecedents.

The research was conducted in an Asian country where – due to recent liberalization – the telecommunications industry is emerging. The cultural and socio-economic diversity in Asia limits generalization of findings.

Resource allocation that promotes customer loyalty in the mobile phone industry and improves customer satisfaction, perceived service quality, value, and switching costs can be optimized by implementing different measures for demographic groups. Policies should require mobile phone operators to invest more in rural areas to enhance and expand services.

This study contributes to the literature by offering a comprehensive model that includes the most important antecedents of customer loyalty and customer demographics in the mobile phone industry. The model is validated empirically in the context of emerging Asian economies with new field data sourced from Pakistan.

The Internet of Things (IoT) has attracted a lot of attention in both industrial and academic fields for recent years. Artificial intelligence (AI) has developed rapidly in recent years as well. AI naturally combines with the Internet of Things in various ways, enabling big data applications, machine learning algorithms, deep learning, knowledge discovery, neural networks and other technologies. The purpose of this paper is to provide state of the art in AI powered IoT and study smart public services in China.

This paper reviewed the articles published on AI powered IoT from 2009 to 2018. Case study as a research method has been chosen.

The AI powered IoT has been found in the areas of smart cities, healthcare, intelligent manufacturing and so on. First, this study summarizes recent research on AI powered IoT systematically; and second, this study identifies key research topics related to the field and real-world applications.

This research is of importance and significance to both industrial and academic fields researchers who need to understand the current and future development of intelligence in IoT. To the best of authors’ knowledge, this is the first study to review the literature on AI powered IoT from 2009 to 2018. This is also the first literature review on AI powered IoT with a case study of smart public service in China.

This study examines the research landscape of Lean Six-Sigma (LSS) applications in hospitals for the period of the last decade (2011–2020) to derive answers to the research questions RQ 1: What are the current publication trends for the application of LSS in hospitals concerning document type, Journal (Source), active authors and country-wise publications and their comparison in the two most reputed scientific databases, i.e. Scopus and Web of Science (WoS), RQ2: What are the clusters based on the authors and keywords? RQ3: What are the research trends and author's productivity in LSS applications in Hospitals? RQ4: What are the future research areas?

This article compares these two databases (Scopus and WoS) based on publication pattern, document type, active authors and co-citation analysis. This article analyzes the core sources, author's productivity, globally cited articles, word growth analysis, thematic map and world collaboration map on the WoS and Scopus dataset. The software used are Vosviewer, Biblioshiny (R Package for Bibliometric) and M.S. Excel.

The application of LSS in hospitals is a niche theme. In the WoS database International Journal of Lean Six-Sigma and in Scopus database International Journal of Health Care Quality Assurance are the most relevant sources publishing research articles in this field. The USA has the highest scientific production in this field. Among the authors, Antony J is the most active author in this area, with the highest contribution over the years.

This study fills the literature gap by mapping the field of LSS in hospitals.

As the carrier of knowledge, intellectual capital plays a crucial role in technology capability. However, most of the previous studies focus on technological capability from a static perspective, rather than take dynamic technology capability into consideration. Based on this research gap, the purpose of this paper is to investigate the effects of intellectual capital and its sub-dimensions on dynamic technology capability, measuring by the factor scores of five technological input and output variables.

The authors combine the system dynamic method and empirical study to guarantee the internal and external validity. Specifically, the authors design the system dynamic model and simulation to analyze the system mechanism of intellectual capital and its sub-dimensions on dynamic technology capabilities from four cause and effect feedback loops. Then, the authors propose eight hypotheses based on this system dynamic model. In the empirical test phase, the authors employed a panel data set pertaining to Chinese manufacturing firms from 2007 to 2017, and adopted the fixed effect panel model according to Hausman test.

The authors find that intellectual capital efficiency (ICE) and its sub-dimensions (i.e. human capital efficiency, organizational capital efficiency and capital employed efficiency (CEE) have significantly positive impacts on dynamic technology capability. The results also show that the positive effects of ICE and OC on dynamic technology capability would be strengthened in state-owned enterprises compared with non-state-owned enterprises, while this moderation effect is weakened on the relationship between CEE and dynamic technology capability.

In this study, the authors first introduce the system dynamic method to explore the relationship of intellectual capital and dynamic technology capability, which is a valuable trial on combining system science and empirical study. Additionally, the authors continue to expand the dynamic technology capability from the intellectual capital perspective, and also find the moderating effect from the ownership aspect. It is beneficial to the theoretical development of intellectual capital and dynamic technology capability. Furthermore, the authors provide significant inspirations and implications for enterprise’s managers.

This paper aims to propose an optimal design of the partial textures in the mixed lubrication regime of the crankpin bearing (CB) to maximize the CB's lubrication efficiency.

Based on a hybrid model between the slider-crank-mechanism dynamic and CB lubrication, the square-cylindrical textures (SCT) of partial textures designed on the CB’s mixed lubrication regime are researched. The effect of the density distributions of partial textures on CB’s lubrication efficiency is then evaluated via two indices of increasing the oil film pressure (p) and decreasing the frictional force (F_f) of the CB. The SCT’s geometrical dimensions are then optimized by the genetic algorithm to further improve the CB’s lubrication efficiency.

The results show that the SCT of partial textures optimized by the genetic algorithm has an obvious effect on enhancing CB’s lubrication efficiency. Especially, with the CB using the optimal SCT of partial textures (4 × 6), the maximum p is significantly increased by 3.7% and 8.2%, concurrently, the maximum F_f is evidently reduced by 9.5% and 21.6% in comparison with the SCT of partial textures (4 × 6) without optimization and the SCT of full textures (12 × 6) designed throughout the CB’s bearing surface, respectively.

The application of the optimal SCT of partial textures on the bearing surface not only is simple for the design-manufacturing process and maximizes CB’s lubrication efficiency but also can reduce the machining time, save cost and ensure the durability of the bearing compared to use the full textures designed throughout the CB’s bearing surface.

This study aims to examine the impacts of restaurant servers’ actions on the customers’ emotional contagion and the impacts of customers’ emotional contagion on their intention to tip and the likelihood of tipping. This study also explores social compliance and examines its impacts on customers’ intentions to tip and the likelihood of tipping.

Taking a restaurant in Taiwan as an example, this study uses questionnaires to investigate five constructs of the research framework, which are restaurant servers’ actions, restaurant customers’ susceptibility to emotional contagion, customers’ intention to tip, customers’ likelihood of tipping and customers’ social compliance. The questionnaires were distributed online using Surveycake website. A total of 310 completed questionnaires were collected.

The results indicate the following: restaurant servers’ actions positively affect customers’ susceptibility to emotional contagion; customers’ emotional contagion positively affects their intention to tip and likelihood of tipping; customers’ social compliance positively affects their intentions to tip and the likelihood of tipping; and customers’ emotional contagion partially mediates the effects of restaurant servers’ actions on customers’ intention to tip and likelihood of tipping.

The hypothesis test results in this article not only successfully integrate or confirm the research findings of past scholars, but also expand the scope of research on related topics. Furthermore, the research findings of this study provide restaurant practitioners with rich marketing implications.

微笑可换来小费吗？餐厅服务员行为会影响顾客的情绪感染和小费行为吗？

摘要

本研究旨在检验餐厅服务员行为对顾客情绪感染的影响, 以及顾客情绪感染对他们给小费意愿和可能性的影响。本研究还探讨了社会合规性, 并检查了其对顾客给小费意愿和给小费可能性的影响。

本研究以台湾一家餐厅为例, 使用问卷调查研究框架的五个结构, 即餐厅服务员行为、餐厅顾客情绪感染、顾客给小费意愿、顾客给小费可能性以及顾客的社会责任。本研究使用了Surveycake线上问卷调查网站, 在线上分发问卷, 并共收集到 310 份已完整问卷。

本研究结果表示：（1）餐厅服务员的行为正向影响顾客情绪感染, （2）顾客的情绪感染正向影响他们给小费的意愿和可能性, （3）顾客的社会责任正向影响他们给小费的意愿和可能性, 以及（4）顾客的情绪感染部分中介了餐厅服务员行为对顾客给小费意愿和小费可能性的影响。

本文的假设检验结果不仅成功地整合或证实了以往学者的研究成果, 而且扩大了相关课题的研究范围。此外, 本研究的研究结果为餐厅从业者提供了丰富的营销意义。

¿Sonriendo por propinas? ¿Afectarán las acciones de los camareros al contagio emocional y a las propinas de los clientes?

Este estudio tiene como objetivo examinar cómo impactan las acciones de los camareros de restaurantes en el contagio emocional de los clientes, y cómo ese contagio emocional influye en su intención de dejar propina y en la probabilidad de hacerlo. Este estudio también explora el cumplimiento social y examina su impacto en la intención de los clientes de dejar propina y la probabilidad de hacerlo.

Tomando un restaurante en Taiwán como ejemplo, este estudio utiliza cuestionarios para investigar cinco constructos del marco de investigación, que son las acciones de los camareros del restaurante, la susceptibilidad de los clientes del restaurante al contagio emocional, la intención de los clientes de dejar propina, la probabilidad de hacerloy el cumplimiento social de los clientes. Los cuestionarios se distribuyeron online a través de la web Surveycake. Se recogieron un total de 310 cuestionarios completados.

Los resultados indican: (1) las acciones de los camareros del restaurante afectan positivamente a la susceptibilidad de los clientes al contagio emocional, (2) el contagio emocional de los clientes afecta positivamente su intención de dejar propina y la probabilidad de hacerlo, (3) el cumplimiento social de los clientes afecta positivamente su intención de dejar propina y la probabilidad de hacerlo, y (4) el contagio emocional de los clientes media parcialmente los efectos de las acciones de los camareros del restaurante sobre la intención de los clientes de dejar propina y la probabilidad de hacerlo.

Los resultados de la prueba de hipótesis en este artículo no solo integran o confirman con éxito los hallazgos de estudios previos, sino que también amplían el alcance de la investigación sobre temas relacionados. Además, los resultados de este estudio proporcionan a los profesionales de la restauración importantes implicaciones de marketing.

Fog computing (FC) is a new field of research and has emerged as a complement to the cloud, which can mitigate the problems inherent to the cloud computing (CC) and internet of things (IoT) model such as unreliable latency, bandwidth constraints, security and mobility. Because there is no comprehensive study on the FC in health management processing systems techniques, this paper aims at surveying and analyzing the existing techniques systematically as well as offering some suggestions for upcoming works.

The paper complies with the methodological requirements of systematic literature reviews (SLR). The present paper investigates the newest systems and studies their practical techniques in detail. The applications of FC in health management systems have been categorized into three major groups, including review articles, data analysis, frameworks and models mechanisms.

The results have indicated that despite the popularity of FC as having real-time processing, low latency, dynamic configuration, scalability, low reaction time (less than a second), high bandwidth, battery life and network traffic, a few issues remain unanswered, such as security. The most recent research has focused on improvements in remote monitoring of the patients, such as less latency and rapid response. Also, the results have shown the application of qualitative methodology and case study in the use of FC in health management systems. While FC studies are growing in the clinical field, CC studies are decreasing.

This study aims to be comprehensive, but there are some limitations. This research has only surveyed the articles that are mined, according to a keyword exploration of FC health, FC health care, FC health big data and FC health management system. Fog-based applications in the health management system may not be published with determined keywords. Moreover, the publications written in non-English languages have been ignored. Some important research studies may be printed in a language other than English.

The results of this survey will be valuable for academicians, and these can provide visions into future research areas in this domain. This survey helps the hospitals and related industries to identify FC needs. Moreover, the disadvantages and advantages of the above systems have been studied, and their key issues have been emphasized to develop a more effective FC in health management processing mechanisms over IoT in the future.

Previous literature review studies in the field of SLR have used a simple literature review to find the tasks and challenges in the field. In this study, for the first time, the FC in health management processing systems is applied in a systematic review focused on the mediating role of the IoT and thereby provides a novel contribution. An SLR is conducted to find more specific answers to the proposed research questions. SLR helps to reduce implicit researcher bias. Through the adoption of broad search strategies, predefined search strings and uniform inclusion and exclusion criteria, SLR effectively forces researchers to search for studies beyond their subject areas and networks.

This paper investigates the strategic behavior of algorithmic trading firms from an innovation economics perspective. The authors seek to uncover the sources of competitive advantage these firms develop to make markets inefficient for them and enable their survival.

First, the authors review expected capability, a quantitative behavioral model of the sustainable, or reliable, profits that lead to survival. Second, they present qualitative data gathered from semi-structured interviews with industry professionals as well as from the academic and industry literatures. They categorize this data into first-order concepts and themes of opportunity-, advantage- and meta-seeking behaviors. Associating the observed sources of competitive advantages with the components of the expected capability model allows us to describe the economic rationale these firms have for developing those sources and explain how they survive.

The data reveals ten sources of competitive advantages, which the authors label according to known ones in the strategic management literature. We find that, due to the dynamically complex environments and their bounded resources, these firms seek heuristic compromise among these ten, which leads to satisficing. Their application of innovation methodology that prescribes iterative ex post hypothesis testing appears to quell internal conflict among groups and promote organizational survival. The authors believe their results shed light on the behavior and motivations of algorithmic market actors, but also of innovative firms more generally.

Based upon their review of the literature, this is the first paper to provide such a complete explanation of the strategic behavior of algorithmic trading firms.