The antenna proposed in this article is structured on a Rogers RT5880 (lossy) substrate holding two grounds parallel on two opposite planes, one adjacent to the transmission path feeding the fractal patch. These grounds are named as parallelplane grounds (PPGs). The fractal antenna features a compact size of 17.71.575 mm3 unveiling a −10 dB impedance bandwidth of 19.5 GHz (3.2 GHz–22.7 GHz). The iterative ratio, has an impact on the impedance bandwidth resembling other design parameters. A transient bandwidth enhancement is achievable by keeping the iterative ratio in a range of (0.6–1.1). In this range, the bandwidth gets enhanced as ascends. The ground adjacent to the feeding path helped to achieve responses in X band (8 GHz–12 GHz), and Ku band (12 GHz–18 GHz) crossing the range of the whole ultrawideband (3.1 GHz–10.6 GHz). It responds in some spectrum (18 GHz–22.7 GHz) of the K band (18 GHz–27 GHz) also.
本文提出的天线结构基于罗杰斯 RT5880（有损）基板，基板上有两个平行于两个相对平面的地线，其中一个与馈给分形贴片的传输路径相邻。这些地基被命名为平行平面地基（PPG）。分形天线的尺寸为 17.7×9.8×1.575 mm3，结构紧凑，阻抗带宽为 -10 dB，频率范围为 19.5 GHz（3.2 GHz-22.7 GHz）。迭代比 r 对阻抗带宽的影响与其他设计参数类似。将迭代比保持在（0.6-1.1）的范围内可实现瞬态带宽增强。在此范围内，带宽随着 r 的增大而增强。与馈电路径相邻的地面有助于实现 X 波段（8 GHz-12 GHz）和 Ku 波段（12 GHz-18 GHz）的响应，跨越了整个超宽带（3.1 GHz-10.6 GHz）的范围。它对 K 波段（18 千兆赫-27 千兆赫）的某些频谱（18 千兆赫-22.7 千兆赫）也有响应。
{"title":"An antenna with second−iteration fractal patch and parallel−plane grounds for UWB/X/Ku/K band applications","authors":"Fahim Shahriyar Abir, Rubina Parveen, Md Samiul Islam, Md. Abubakar Siddik, Mahfujur Rahman","doi":"10.1016/j.teler.2024.100174","DOIUrl":"10.1016/j.teler.2024.100174","url":null,"abstract":"<div><div>The antenna proposed in this article is structured on a Rogers RT5880 (lossy) substrate holding two grounds parallel on two opposite planes, one adjacent to the transmission path feeding the fractal patch. These grounds are named as parallel<span><math><mo>−</mo></math></span>plane grounds (PPGs). The fractal antenna features a compact size of 17.7<span><math><mrow><mo>×</mo><mn>9</mn><mo>.</mo><mn>8</mn><mo>×</mo></mrow></math></span>1.575 mm<sup>3</sup> unveiling a −10 dB impedance bandwidth of 19.5 GHz (3.2 GHz–22.7 GHz). The iterative ratio, <span><math><mi>r</mi></math></span> has an impact on the impedance bandwidth resembling other design parameters. A transient bandwidth enhancement is achievable by keeping the iterative ratio in a range of (0.6–1.1). In this range, the bandwidth gets enhanced as <span><math><mi>r</mi></math></span> ascends. The ground adjacent to the feeding path helped to achieve responses in X band (8 GHz–12 GHz), and K<sub>u</sub> band (12 GHz–18 GHz) crossing the range of the whole ultra<span><math><mo>−</mo></math></span>wideband (3.1 GHz–10.6 GHz). It responds in some spectrum (18 GHz–22.7 GHz) of the K band (18 GHz–27 GHz) also.</div></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"16 ","pages":"Article 100174"},"PeriodicalIF":0.0,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-17DOI: 10.1016/j.teler.2024.100177
Charu Saxena , Pratibha Thakur
Trust and privacy concerns are the rudimentary pillars of all the crucial online transactions. Web assurance mechanisms such as secure payment gateways, trust seals, and data protection measures, are designed to build credibility between consumers and online businesses. This research study attempts to examine the mediating role of trust and privacy concerns between web assurance mechanisms and purchase intention of online products. This will provide valuable insights to the underlying psychological processes and factors that influence consumer behavior in the online shopping context. A conceptual model has been framed to investigate the direct and indirect relationship between web assurance mechanism and purchase intention of online products via trust and privacy concern. This study uses data collected from 342 respondents. Smart PLS4 was used for the assessment of measurement model and structural model. The research findings claims that the web assurance mechanism has a significant impact on purchase intentions, privacy concerns, and trust. It was also found that when privacy concerns and trust were introduced as mediators, the indirect effect was still significant, which indicates that privacy concerns and trust partially mediate the direct relationships. The findings of the study can help identify the specific factors that contribute to consumer comprehension and assess how web assurance mechanisms influence these concerns. The findings can inform the development of privacy-enhancing measures and policies to alleviate consumer worries and increase purchase intention.
{"title":"Mediating role of trust and privacy concerns between web assurance mechanism and purchase intention of online products","authors":"Charu Saxena , Pratibha Thakur","doi":"10.1016/j.teler.2024.100177","DOIUrl":"10.1016/j.teler.2024.100177","url":null,"abstract":"<div><div>Trust and privacy concerns are the rudimentary pillars of all the crucial online transactions. Web assurance mechanisms such as secure payment gateways, trust seals, and data protection measures, are designed to build credibility between consumers and online businesses. This research study attempts to examine the mediating role of trust and privacy concerns between web assurance mechanisms and purchase intention of online products. This will provide valuable insights to the underlying psychological processes and factors that influence consumer behavior in the online shopping context. A conceptual model has been framed to investigate the direct and indirect relationship between web assurance mechanism and purchase intention of online products via trust and privacy concern. This study uses data collected from 342 respondents. Smart PLS4 was used for the assessment of measurement model and structural model. The research findings claims that the web assurance mechanism has a significant impact on purchase intentions, privacy concerns, and trust. It was also found that when privacy concerns and trust were introduced as mediators, the indirect effect was still significant, which indicates that privacy concerns and trust partially mediate the direct relationships. The findings of the study can help identify the specific factors that contribute to consumer comprehension and assess how web assurance mechanisms influence these concerns. The findings can inform the development of privacy-enhancing measures and policies to alleviate consumer worries and increase purchase intention.</div></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"16 ","pages":"Article 100177"},"PeriodicalIF":0.0,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-15DOI: 10.1016/j.teler.2024.100175
Sutiah , Supriyono
This study investigates the execution of online education at the Faculty of Tarbiyah and Teacher Training in Islamic State Universities in Indonesia during the COVID-19 pandemic. It assesses the platform's efficacy and quality, particularly regarding system, information, and service excellence. The study employs descriptive statistical analysis and structural equation modeling to discern strengths and weaknesses in the online learning environment, emphasizing system dependability and user satisfaction. It underscores the necessity for improvements in delivering timely information and enhancing responsiveness to fulfill consumer expectations better. The results highlight the necessity of strategic improvements emphasizing adaptability and service quality to enhance the online learning experience. These developments are especially vital in emergencies, where the adaptability and resilience of instructional technologies are evaluated. This study provides actionable recommendations for educational institutions to enhance the quality, resilience, and effectiveness of online learning for both students and educators, offering essential insights to address current challenges and contribute to the broader discourse on the future of online education.
{"title":"Enhancing online learning quality: a structural equation modeling analysis of educational technology implementation during the COVID-19 pandemic","authors":"Sutiah , Supriyono","doi":"10.1016/j.teler.2024.100175","DOIUrl":"10.1016/j.teler.2024.100175","url":null,"abstract":"<div><div>This study investigates the execution of online education at the Faculty of Tarbiyah and Teacher Training in Islamic State Universities in Indonesia during the COVID-19 pandemic. It assesses the platform's efficacy and quality, particularly regarding system, information, and service excellence. The study employs descriptive statistical analysis and structural equation modeling to discern strengths and weaknesses in the online learning environment, emphasizing system dependability and user satisfaction. It underscores the necessity for improvements in delivering timely information and enhancing responsiveness to fulfill consumer expectations better. The results highlight the necessity of strategic improvements emphasizing adaptability and service quality to enhance the online learning experience. These developments are especially vital in emergencies, where the adaptability and resilience of instructional technologies are evaluated. This study provides actionable recommendations for educational institutions to enhance the quality, resilience, and effectiveness of online learning for both students and educators, offering essential insights to address current challenges and contribute to the broader discourse on the future of online education.</div></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"16 ","pages":"Article 100175"},"PeriodicalIF":0.0,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This research delves into the latest advancements in Natural Language Processing (NLP) and their broader implications, challenges, and future directions. With the ever-increasing volume of text data generated daily from diverse sources, extracting relevant and valuable information is becoming more complex. Conventional manual techniques for handling and examining written information are laborious and susceptible to mistakes, underscoring the necessity for effective automated alternatives. The advancements in Natural Language Processing (NLP), namely in transformer-based models and deep learning techniques, have demonstrated considerable potential in improving the precision and consistency of various NLP applications. This work presents a novel approach that combines systematic review methods with sophisticated NLP approaches to enhance the overall efficiency of NLP systems. The proposed strategy guarantees an organized and clear literature review process, resulting in more informative and contextually relevant results. The report examines NLP's implications, problems, and opportunities, providing significant insights that are anticipated to propel improvements in NLP technology and its application in many industries.
{"title":"Advancements in natural language processing: Implications, challenges, and future directions","authors":"Supriyono , Aji Prasetya Wibawa , Suyono , Fachrul Kurniawan","doi":"10.1016/j.teler.2024.100173","DOIUrl":"10.1016/j.teler.2024.100173","url":null,"abstract":"<div><div>This research delves into the latest advancements in Natural Language Processing (NLP) and their broader implications, challenges, and future directions. With the ever-increasing volume of text data generated daily from diverse sources, extracting relevant and valuable information is becoming more complex. Conventional manual techniques for handling and examining written information are laborious and susceptible to mistakes, underscoring the necessity for effective automated alternatives. The advancements in Natural Language Processing (NLP), namely in transformer-based models and deep learning techniques, have demonstrated considerable potential in improving the precision and consistency of various NLP applications. This work presents a novel approach that combines systematic review methods with sophisticated NLP approaches to enhance the overall efficiency of NLP systems. The proposed strategy guarantees an organized and clear literature review process, resulting in more informative and contextually relevant results. The report examines NLP's implications, problems, and opportunities, providing significant insights that are anticipated to propel improvements in NLP technology and its application in many industries.</div></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"16 ","pages":"Article 100173"},"PeriodicalIF":0.0,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study investigates the effects of various discussion topics on individuals’ decisions to join and contribute to an online community. Based on their relevancy to the community's interests and goals, we distinguish between on-topic (relevant) and off-topic (irrelevant) discussions. The relationships among group discussion, new member acquisition, and current member contribution are simultaneously modeled and estimated using data collected from a question-and-answer website. We employ a latent Dirichlet allocation model to identify different topics posted by community members. The relevancy of each topic is assessed based on relevancy scores collected through a survey. The results suggest that on-topic discussions generally increase the number of new and active members. Intriguingly, off-topic discussions can influence new member acquisition both positively and negatively, while their effect on current member contributions appears to be positive. The implications of this study for sustaining online communities are discussed.
{"title":"Impact of on-topic and off-topic discussions on member participation and contribution in a common-identity online community","authors":"Wirawan Dony Dahana, Mirai Igarashi, Ryo Sakiyama, Jiaying Zhou","doi":"10.1016/j.teler.2024.100172","DOIUrl":"10.1016/j.teler.2024.100172","url":null,"abstract":"<div><div>This study investigates the effects of various discussion topics on individuals’ decisions to join and contribute to an online community. Based on their relevancy to the community's interests and goals, we distinguish between on-topic (relevant) and off-topic (irrelevant) discussions. The relationships among group discussion, new member acquisition, and current member contribution are simultaneously modeled and estimated using data collected from a question-and-answer website. We employ a latent Dirichlet allocation model to identify different topics posted by community members. The relevancy of each topic is assessed based on relevancy scores collected through a survey. The results suggest that on-topic discussions generally increase the number of new and active members. Intriguingly, off-topic discussions can influence new member acquisition both positively and negatively, while their effect on current member contributions appears to be positive. The implications of this study for sustaining online communities are discussed.</div></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"16 ","pages":"Article 100172"},"PeriodicalIF":0.0,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142655722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Neuropsychological evaluations are valuable in neurosurgery because they comprehensively evaluate cognitive, affective, and behavioral functioning to optimize patient outcomes. Incorporating artificial intelligence (AI) into neuropsychology offers optimistic advances, with machine learning models assisting in classifying behavioral, cognitive, and functional impairments while minimizing the number of tests. AI-based approaches have demonstrated accurate classification outcomes, providing potential alternatives to time-consuming and non-ecological conventional evaluations. This research uses data from the Scopus database to examine the trends of neuropsychological-based AI in cognitive neuroscience, mental health, and neurodegenerative disorders. The study emphasized the potential of artificial intelligence in neuropsychology research and identified several research themes. The analysis of bibliometrics may efficiently assess the developments and impact of neuropsychology research, providing insights into academic output and predicting future trends. Future research should consider utilizing alternative databases, employing a multisource strategy, incorporating additional keywords, and building upon the foundational knowledge provided by this study. Despite its limitations, this study provides significant insights and paves the way for future neuropsychology-based artificial intelligence research. Furthermore, investigating significant topics and key issues in the neuropsychology and artificial intelligence debate adds new perspectives to the corpus of literature. This analysis can help identify gaps, controversies, and areas of future exploration within the field. The study also highlights the importance of learning and intelligent computation in neuropsychology, providing a conceptual methodology based on a comprehensive review of the most recent research.
{"title":"Emerging trends in the evolution of neuropsychology and artificial intelligence: A comprehensive analysis","authors":"Haihua Ying , Andri Pranolo , Zalik Nuryana , Andini Isti Syafitri","doi":"10.1016/j.teler.2024.100171","DOIUrl":"10.1016/j.teler.2024.100171","url":null,"abstract":"<div><div>Neuropsychological evaluations are valuable in neurosurgery because they comprehensively evaluate cognitive, affective, and behavioral functioning to optimize patient outcomes. Incorporating artificial intelligence (AI) into neuropsychology offers optimistic advances, with machine learning models assisting in classifying behavioral, cognitive, and functional impairments while minimizing the number of tests. AI-based approaches have demonstrated accurate classification outcomes, providing potential alternatives to time-consuming and non-ecological conventional evaluations. This research uses data from the Scopus database to examine the trends of neuropsychological-based AI in cognitive neuroscience, mental health, and neurodegenerative disorders. The study emphasized the potential of artificial intelligence in neuropsychology research and identified several research themes. The analysis of bibliometrics may efficiently assess the developments and impact of neuropsychology research, providing insights into academic output and predicting future trends. Future research should consider utilizing alternative databases, employing a multisource strategy, incorporating additional keywords, and building upon the foundational knowledge provided by this study. Despite its limitations, this study provides significant insights and paves the way for future neuropsychology-based artificial intelligence research. Furthermore, investigating significant topics and key issues in the neuropsychology and artificial intelligence debate adds new perspectives to the corpus of literature. This analysis can help identify gaps, controversies, and areas of future exploration within the field. The study also highlights the importance of learning and intelligent computation in neuropsychology, providing a conceptual methodology based on a comprehensive review of the most recent research.</div></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"16 ","pages":"Article 100171"},"PeriodicalIF":0.0,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142586319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the development of digital media, an increasing number of new technologies are being used in cultural communication, and virtual reality (VR) technology for cultural communication has become a modern tool of transmission. To investigate the factors that influence rural cultural identity (RCI) through technical interaction (TI) and technology acceptance (TA) in VR in cultural communication, this study initially constructed a model of the influence path mediated by embodied cognition (EC) and flow experience (FE) based on compensatory media, technology acceptance, embodied cognition and flow experience theory. All participants had experienced some rural historical and cultural VR work and then completed a corresponding questionnaire. A total of 356 questionnaires were collected and analyzed using SPSS and SmartPLS software. The results indicated that the technological interaction and acceptance of VR influenced identification with rural culture through the mediating role of embodied cognition and flow experience. These findings provide a reference for strengthening audiences' embodied cognition and flow experience to promote their rural cultural identity. When VR technology is used to communicate culture, its technological interaction and acceptance can be improved to provide audiences with a better experience and perhaps influence the development of local tourism.
{"title":"Effects of VR technical interaction and acceptance on rural cultural identity: The mediating role of embodied cognition and flow experience","authors":"Xiuyu Lin, Yating Wang, Zehui Zhan, Qin Wang, Dongmei Xiang, Huiyan Li","doi":"10.1016/j.teler.2024.100170","DOIUrl":"10.1016/j.teler.2024.100170","url":null,"abstract":"<div><div>With the development of digital media, an increasing number of new technologies are being used in cultural communication, and virtual reality (VR) technology for cultural communication has become a modern tool of transmission. To investigate the factors that influence rural cultural identity (RCI) through technical interaction (TI) and technology acceptance (TA) in VR in cultural communication, this study initially constructed a model of the influence path mediated by embodied cognition (EC) and flow experience (FE) based on compensatory media, technology acceptance, embodied cognition and flow experience theory. All participants had experienced some rural historical and cultural VR work and then completed a corresponding questionnaire. A total of 356 questionnaires were collected and analyzed using SPSS and SmartPLS software. The results indicated that the technological interaction and acceptance of VR influenced identification with rural culture through the mediating role of embodied cognition and flow experience. These findings provide a reference for strengthening audiences' embodied cognition and flow experience to promote their rural cultural identity. When VR technology is used to communicate culture, its technological interaction and acceptance can be improved to provide audiences with a better experience and perhaps influence the development of local tourism.</div></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"16 ","pages":"Article 100170"},"PeriodicalIF":0.0,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142553426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-17DOI: 10.1016/j.teler.2024.100168
Gonçalo Paiva Dias
This study aims at understanding the effects that the Covid-19 lockdowns had on the streaming of municipal assemblies via social media, whether those effects persisted after the pandemic, and what were the main determinants, motivations, and consequences of adopting that practice. To accomplish these goals, an exploratory mixed methods approach is used. Quantitative methods are used to assess the evolution of the number of municipalities streaming their assemblies and to identify determinants of adoption. Qualitative methods are used to capture the perception of relevant actors. Portugal is used as the case of study (308 municipalities). It was found that streaming of municipal assemblies was clearly triggered by the pandemic and the subsequent local elections, while being moderated by some of the factors that are known to be important for digital government development at the local level: demography, socioeconomic dynamism, citizen participation, and political environment. It was also found that streaming assemblies contributes to improve transparency, accountability, trust, proximity, and the public image of the bodies, albeit having no effect on the forms available for citizen participation. It also contributes to assembly members' interventions becoming more frequent, longer, targeted, and moderated. To the best of the authors knowledge, this is the first longitudinal study to address the streaming of municipal assemblies via social media.
{"title":"A new normal? Streaming municipal assemblies on social media before, during and after the pandemic","authors":"Gonçalo Paiva Dias","doi":"10.1016/j.teler.2024.100168","DOIUrl":"10.1016/j.teler.2024.100168","url":null,"abstract":"<div><div>This study aims at understanding the effects that the Covid-19 lockdowns had on the streaming of municipal assemblies via social media, whether those effects persisted after the pandemic, and what were the main determinants, motivations, and consequences of adopting that practice. To accomplish these goals, an exploratory mixed methods approach is used. Quantitative methods are used to assess the evolution of the number of municipalities streaming their assemblies and to identify determinants of adoption. Qualitative methods are used to capture the perception of relevant actors. Portugal is used as the case of study (308 municipalities). It was found that streaming of municipal assemblies was clearly triggered by the pandemic and the subsequent local elections, while being moderated by some of the factors that are known to be important for digital government development at the local level: demography, socioeconomic dynamism, citizen participation, and political environment. It was also found that streaming assemblies contributes to improve transparency, accountability, trust, proximity, and the public image of the bodies, albeit having no effect on the forms available for citizen participation. It also contributes to assembly members' interventions becoming more frequent, longer, targeted, and moderated. To the best of the authors knowledge, this is the first longitudinal study to address the streaming of municipal assemblies via social media.</div></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"16 ","pages":"Article 100168"},"PeriodicalIF":0.0,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142527307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-15DOI: 10.1016/j.teler.2024.100166
Athanasios Papathanasopoulos, Dimitris Varoutas
This paper examines the competition between Traditional TV and Video OTT platforms in Greece. Niche theory has been adopted to measure users’ gratification fulfilled by TV and Video OTTs, the competitive superiority of each medium, and the similarity between the two media across seven aspects of gratification. The results of an online survey conducted between February and October 2022, which collected a total of 508 responses, suggest that streaming TV exhibits a comparative advantage over Traditional TV in several dimensions of gratification, apart from information and financial benefits. Additionally, the survey revealed that Video OTTs and Traditional TV showed comparable levels of similarity concerning ease of use, convenience, and information, indicating that users perceived both media to be similarly accessible, user-friendly, and informative. Furthermore, the survey's findings suggest that Video OTT platforms are perceived to be superior to Traditional TV in terms of relaxation, where they scored the highest compared to all other dimensions.
本文探讨了希腊传统电视与视频 OTT 平台之间的竞争。本文采用利基理论来衡量用户通过电视和视频 OTT 获得的满足感、每种媒体的竞争优势以及两种媒体在满足感的七个方面的相似性。2022 年 2 月至 10 月期间进行的在线调查共收集了 508 份回复，调查结果表明，除了信息和经济收益外，流媒体电视在满足感的多个维度上都比传统电视更具比较优势。此外，调查还显示，视频 OTT 和传统电视在易用性、便利性和信息方面表现出相当的相似性，表明用户认为这两种媒体都具有相似的可访问性、用户友好性和信息性。此外，调查结果显示，视频 OTT 平台在轻松性方面优于传统电视，在所有其他维度中得分最高。
{"title":"On the competition between Video OTT platforms vs Traditional TV: A niche case study in Greece","authors":"Athanasios Papathanasopoulos, Dimitris Varoutas","doi":"10.1016/j.teler.2024.100166","DOIUrl":"10.1016/j.teler.2024.100166","url":null,"abstract":"<div><div>This paper examines the competition between Traditional TV and Video OTT platforms in Greece. Niche theory has been adopted to measure users’ gratification fulfilled by TV and Video OTTs, the competitive superiority of each medium, and the similarity between the two media across seven aspects of gratification. The results of an online survey conducted between February and October 2022, which collected a total of 508 responses, suggest that streaming TV exhibits a comparative advantage over Traditional TV in several dimensions of gratification, apart from information and financial benefits. Additionally, the survey revealed that Video OTTs and Traditional TV showed comparable levels of similarity concerning ease of use, convenience, and information, indicating that users perceived both media to be similarly accessible, user-friendly, and informative. Furthermore, the survey's findings suggest that Video OTT platforms are perceived to be superior to Traditional TV in terms of relaxation, where they scored the highest compared to all other dimensions.</div></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"16 ","pages":"Article 100166"},"PeriodicalIF":0.0,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142527306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-13DOI: 10.1016/j.teler.2024.100169
Fatma Sezer Çırakoğlu, Özgün Koşaner
Attaining a first-page position in search engine results is crucial for websites, impacting their visibility. Search engine optimization involves technical and content optimization strategies to enhance a website's visibility. Central to this effort is the creation and maintenance of high-quality content that satisfies search engine algorithms and engages the intended audience. However, creating high-quality content is inherently challenging due to its subjective and multifaceted nature. This study addresses this challenge by analyzing high-quality content through a linguistic lens. It introduces a tailored framework that includes textual, stylistic, technical, and regulatory criteria, outlining the essential features of user-oriented high-quality content. Furthermore, this research advocates for the application of Grice's conversational maxims—quality, quantity, relevance, and manner—in content creation and optimization to enhance the development of high-quality content. Employing a quantitative methodology and drawing on findings from an experiment conducted on Google's search engine platform, this study promotes the effective utilization of these maxims to cultivate high-quality content and improve rankings on search engine results pages.
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