Tunahan Gunay, Duygu Erdem and Ahmet Ziyaettin Sahin
High surface area-to-volume ratios make nanoparticles ideal for cancer heat therapy and targeted medication delivery. Moreover, ternary nanofluids (TNFs) may possess superior…
Abstract
Purpose
High surface area-to-volume ratios make nanoparticles ideal for cancer heat therapy and targeted medication delivery. Moreover, ternary nanofluids (TNFs) may possess superior thermophysical properties compared to mono- and hybrid nanofluids due to their synergistic effects. In light of this information, the objective of this article is to examine the blood-based TNF flow within convergent/divergent channels under velocity slip and temperature jump.
Design/methodology/approach
Leading partial differential equations corresponding to the problem are transformed into a system of nonlinear ordinary differential equations by using similarity variables. The bvp4c code that uses the finite difference method is used to obtain a numerical solution.
Findings
The effect of nanoparticles may change depending on the characteristics of flow near the wall. The properties and proportions of the used nanoparticles become important to control the flow. When TNF was used, an increase in the Nusselt number between 4.75% and 6.10% was observed at low Reynolds numbers. At high Reynolds numbers, nanoparticles reduce the Nusselt number and skin friction coefficient values under some special flow conditions. Importantly, the effects of second-order slip on engineering parameters were also investigated. Furthermore, the Nusselt number increases with increasing shape factor.
Research limitations/implications
Obtained results of the study can be beneficial in both nature and engineering, especially blood flow in veins.
Originality/value
The main innovations of this study are the usage of blood-based TNF and the examination of the effect of shape factor in convergent/divergent channels with second-order velocity slip.
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Duygu Erdem, Sevil Yesilpinar, Yavuz Senol, Didem Karadibak and Taner Akkan
The purpose of this paper is to develop textile-based transcutaneous electrical nerve stimulation (TENS) electrodes using conductive yarn to bring a solution to uncomfortable…
Abstract
Purpose
The purpose of this paper is to develop textile-based transcutaneous electrical nerve stimulation (TENS) electrodes using conductive yarn to bring a solution to uncomfortable feelings and hygiene problems of conventional conductive hydrogel electrodes. It proposes washing process, resistance measurements and subjective tests to evaluate the performance of the developed textile-based electrode.
Design/methodology/approach
In this study, six different textile electrode pairs were designed and produced with different patterns. Designed electrodes were washed for ten times. In order to evaluate the effect of pattern differences and washing process on electrode performances, two different tests were realized before and after washing. The first of these tests is resistance measurement with a multimeter, and the second one is subjective test carried out on subjects.
Findings
The results obtained from resistance measurements indicated that the pattern differences cause resistance values of electrodes to change. It is reported that subjects had electrical stimulation from all electrode samples in conducted trials and it is noticed that washing process does not cause any stimulation problems.
Originality/value
In this study, textile-based TENS electrodes having different patterns were produced by machine stitching technique and their long-term usage behaviors were examined with repeated washing processes and trials on the subjects.
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Duygu Akdevelioglu and Selcan Kara
This paper aims to examine innovativeness and extraversion as antecedents of perceived and social media opinion leadership in different country-level contexts and explore how…
Abstract
Purpose
This paper aims to examine innovativeness and extraversion as antecedents of perceived and social media opinion leadership in different country-level contexts and explore how these antecedents influence product adoption differently.
Design/methodology/approach
A survey method was used to collect data from Turkey and the USA. A total of 415 respondents participated in two studies, and data were analyzed using structural equation modeling.
Findings
This research shows that innovativeness affects perceived opinion leadership, whereas extraversion affects social media opinion leadership, and these effects are moderated by country-level differences.
Practical implications
Tthis research provides strategic information strategic information on how to identify and target influencers in social media across countries. This paper has implications for marketers who are trying to find influential consumers to increase new product adoption. Social media opinion leaders are important seeding points, because they actively initiate new product adoption for other consumers. Marketers should create strategies that are in line with the country’s cultural orientation in addition to personal/psychological traits.
Social implications
This research provides valuable information to better explain the consumers’ adoption of technological products and the factors affecting this process in the context of social media. Specifically, this paper identifies strategies to use cultural differences across countries (i.e. Turkey versus the USA) and personality traits (i.e., innovativeness and extraversion) in the adoption of new products.
Originality/value
This paper extends prior literature on opinion leadership by uncovering consumer dynamics internationally, which are known to influence social media use. Specifically, by examining the effect of innovativeness and extraversion on opinion leadership in different countries, this research contributes to the literature on new product adoption and has implications for effectively identifying influencers in social media.
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Fatma Özdoğan, Gonzalo Lizarralde and Benjamin Herazo
In this paper, we explore the impact of land management practices on post-disaster housing, to draw lessons from the case of reconstruction in Türkiye.
Abstract
Purpose
In this paper, we explore the impact of land management practices on post-disaster housing, to draw lessons from the case of reconstruction in Türkiye.
Design/methodology/approach
We conducted two qualitative case studies of two reconstruction experiences following the 2020 Elazığ and İzmir earthquakes. We analyzed 70 articles, technical reports and press releases and then used a set of policy analysis tools to examine five policy documents in depth. Finally, we wanted to understand how key officers interpreted these policy documents, so we closely analyzed the transcripts of eight semi-structured interviews.
Findings
Türkiye’s legal framework comprises five main policies that concentrate power in the central government and are not tailored to post-disaster reconstruction. This framework facilitates the construction of rubber-stamped apartment buildings, which disregard cultural and social contexts and practices. The current reconstruction policy neglects alternative options like cooperative housing, which could better respond to communal needs and expectations. It also often leads to the loss of land rights among affected residents.
Research limitations/implications
We only analyzed decision-making processes in two case studies and based our study on a limited number of interviews. Therefore, it is difficult to generalize our results and apply them to other contexts. Further quantitative and qualitative work is necessary to conceptualize the links between land management and post-disaster housing reconstruction.
Practical implications
Our findings suggest a need for legislative frameworks specifically designed to address land management during post-disaster reconstruction. The concentration of power in central governments is problematic, thus it remains crucial to empower local authorities by reinforcing technical expertise and facilitating administrative autonomy.
Originality/value
This study offers unique insights into how power relations influence land management practices in post-disaster housing reconstruction. Examining the centralization of power and its impact on cultural and social practices identifies common forms of dispossession and points to key areas for policy improvement.
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Taşkın Dirsehan and Meltem Çelik Dirsehan
In recent years, with the development of technology, the number of contact points between companies and their customers has multiplied. From the company point of view, companies…
Abstract
In recent years, with the development of technology, the number of contact points between companies and their customers has multiplied. From the company point of view, companies may reach their customers through multiple marketing channels. Moreover, business intelligence necessitates increasing data sources, strengthening the power of analysis tools, and developing knowledge to be used as a competitive advantage. On the other hand, today’s mostly digitized customers expect more than just commoditized products or services. Customer activation creates experiences that make them feel strong as agents perpetrating the structure (brand strategies) by taking an active role instead of being passive. In other terms, customers are in the main decision position to plan the structure. Thus, companies should design unique and memorable customer experiences through different channels in an integrated way, which is called omnichannel. Omnichannel customer experience management is possible by determining and coordinating customer touch points. In other terms, a melody should exist at these interaction points. This book aims to contribute to this advancement by first providing general reviews of the literature, then covering the pillars to design omnichannel customer experiences, and lastly providing technology-enhanced applications from several industries. This book aims also to provide fresh conceptual insights and thinking about the ways to design and develop omnichannel customer experiences.
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Examines the tenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects…
Abstract
Examines the tenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.
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İbrahim Akın Özen and Eda Özgül Katlav
The purpose of this study is to determine the satisfaction of the guests who stay at hotels offering technology-supported products and services related to the services and…
Abstract
Purpose
The purpose of this study is to determine the satisfaction of the guests who stay at hotels offering technology-supported products and services related to the services and products they receive by using the opinion mining technique.
Design/methodology/approach
In this research, 12,396 customer reviews on booking.com related to ten hotels belonging to a hotel chain using technology-supported products were evaluated with aspect-based sentiment analysis techniques.
Findings
As a result of this study, it has been determined that using technology in hotel businesses creates a positive impression on customer satisfaction. It has been determined that the enrichment of standard hotel business products such as beds and room lighting with technology, in a way that will not be very costly, affects the guests. In addition, it is interesting that technological features such as robots and room service robots, which are called “High & Technology” in this study, are evaluated by customers in the service process.
Practical implications
The hotel managements have the opportunity to evaluate the services we offer by analyzing their online comments and to see their own image from the eyes of the guests. Hotel businesses must learn about customer expectations for technologies with high investment costs. This study, which analyzes online customer reviews, enables tourism businesses that offer technology-supported products and services and invest in technology in service delivery, to understand how customers evaluate the service.
Originality/value
In this study, customer reviews of a hotel group operating in many countries belonging to a hotel group that enriches its standard products with technology and provides service with the concept of a “smart hotel” were examined. This study contributes to the understanding of customers' experience of using technological products in hotel businesses. This study contributes to the literature on customers' satisfaction with technological hotel products and services and the decision of hotels to invest in technology.
研究目的
本研究通过使用意见挖掘技术旨在确定入住酒店的客人的满意度。这些客人接受酒店提供的产品相关的技术支持和服务。
研究设计/方法/方法
在这项研究中, 使用基于特定方面的情感分析技术评估了 booking.com 上与属于连锁酒店的 10 家酒店相关的 12,396 条客户评论, 这些酒店均使用科技支持的产品。
研究发现
作为这项研究的结果, 已经确定在酒店业务中使用科技会对客户满意度产生积极的影响。已经确定, 标准酒店商务产品(例如床、房间照明等)的丰富科技以不会非常昂贵的方式影响客人。此外, 客户感兴趣的是在本研究的服务过程中包括机器人和技术特征, 例如客房服务机器人, 作为“高科技”层面。
研究实际意义
酒店管理层分析了客人的在线评论, 并有机会评估他们的服务并从客人的眼中看到自己的形象。酒店企业必须了解客户对高投资成本技术的期望。本研究分析了直接体验过的消费者的意见。因此, 研究结果将使决定投资服务技术的酒店企业受益。
研究原创性/价值
在这项研究中, 我们对一家在许多国家经营的酒店集团的客户评论进行了调查。该酒店属于一家酒店集团, 该集团以技术丰富其标准产品, 并以“智能酒店”的概念提供服务。该研究有助于了解客户在酒店业务中使用技术产品的体验。该研究扩展了客户对酒店科技产品和服务的满意度的文献, 以及对酒店投资技术的决策做出贡献。
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Abdullah Tanrısevdi, Gözde Öztürk and Ahmet Cumhur Öztürk
The purpose of this study is to develop a review rating prediction method based on a supervised text mining approach for unrated customer reviews.
Abstract
Purpose
The purpose of this study is to develop a review rating prediction method based on a supervised text mining approach for unrated customer reviews.
Design/methodology/approach
Using 2,851 hotel comment card (HCC) reviews, this paper manually labeled positive and negative comments with seven aspects (dining, cleanliness, service, entertainment, price, public, room) that emerged from the content of said reviews. After text preprocessing (tokenization, eliminating punctuation, stemming, etc.), two classifier models were created for predicting the reviews’ sentiments and aspects. Thus, an aggregate rating scale was generated using these two classifier models to determine overall rating values.
Findings
A new algorithm, Comment Rate (CRate), based on supervised learning, is proposed. The results are compared with another review-rating algorithm called location based social matrix factorization (LBSMF) to check the consistency of the proposed algorithm. It is seen that the proposed algorithm can predict the sentiments better than LBSMF. The performance evaluation is performed on a real data set, and the results indicate that the CRate algorithm truly predicts the overall rating with ratio 80.27%. In addition, the CRate algorithm can generate an overall rating prediction scale for hotel management to automatically analyze customer reviews and understand the sentiment thereof.
Research limitations/implications
The review data were only collected from a resort hotel during a limited period. Therefore, this paper cannot explore the effect of independent variables on the dependent variable in context of larger period.
Practical implications
This paper provides a novel overall rating prediction technique allowing hotel management to improve their operations. With this feature, hotel management can evaluate guest feedback through HCCs more effectively and quickly. In this way, the hotel management will be able to identify those service areas that need to be developed faster and more effectively. In addition, this review rating prediction approach can be applied to customer reviews posted via online platforms for detecting review and rating reliability.
Originality/value
Manually analyzing textual information is time-consuming and can lead to measurement errors. Therefore, the primary contribution of this study is that although comment cards do not have rating values, the proposed CRate algorithm can predict the overall rating and understand the sentiment of the reviews in question.