2022 Interdisciplinary Research in Technology and Management (IRTM)最新文献_第2页

Modelling the Consumer Adoption Intention towards Unified Payment Interface (UPI): An Extended UTAUT2 Model with Relative Advantage, Add-on Services and Promotional Benefits 消费者对统一支付接口(UPI)的采用意向建模:一个具有相对优势、附加服务和促销效益的扩展UTAUT2模型

2022 Interdisciplinary Research in Technology and Management (IRTM) Pub Date : 2022-02-24 DOI: 10.1109/irtm54583.2022.9791524

Athul Kuriakose, P. B. Sajoy, E. George

{"title":"Modelling the Consumer Adoption Intention towards Unified Payment Interface (UPI): An Extended UTAUT2 Model with Relative Advantage, Add-on Services and Promotional Benefits","authors":"Athul Kuriakose, P. B. Sajoy, E. George","doi":"10.1109/irtm54583.2022.9791524","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791524","url":null,"abstract":"The COVID-19 and associated lockdown in the country emerged as an opportunity for the digital payment providers and Unified Payment Interface (UPI) is the frontrunner among them. UPI is way ahead of other digital payment modes and recorded more than 22 billion transactions which account for over trillion during the 2020–21 financial year. Even though UPI is the most used digital payment mode in India, currently there is no well-established research model for measuring the user adoption towards UPI. So, this paper portrays the in-depth review of current works of literature on digital and mobile payment adoption intention of consumers and developed a new model exclusively for identifying the factors of adoption of ‘Unified Payment Interface (UPI)’. The study introduced the model by extending the existing UTAUT2 model by incorporating ‘Relative Advantage’, ‘Add-on Services’ and ‘Promotional Benefits’ as additional constructs apart from the existing UTAUT2 constructs. The proposed model can be empirically tested further to derive meaningful findings and conclusions that can guide the payment service providers in taking appropriate decisions for the development of their user base.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114573716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Research Initiative on Sustainable Education System: Model of Balancing Green Computing and ICT in Quality Education 可持续教育系统研究创举:绿色计算与信息通信技术在素质教育中的平衡模式

2022 Interdisciplinary Research in Technology and Management (IRTM) Pub Date : 2022-02-24 DOI: 10.1109/irtm54583.2022.9791758

Suplab Kanti Podder, Marimuthu Karuppiah, Benny Thomas, Debabrata Samanta

引用次数: 3

Customer Support Chatbot for Electronic Components 电子元件客户支持聊天机器人

2022 Interdisciplinary Research in Technology and Management (IRTM) Pub Date : 2022-02-24 DOI: 10.1109/irtm54583.2022.9791730

Narayana Darapaneni, Gurender Singh, A. Paduri, D. D'souza, G. Kumar, S. De, S. G

引用次数: 4

Green Human Resource Management [GHRM] Practices in Pursuit of Reinvigorating Environmental Performance in IT Firms: A SEM approach 绿色人力资源管理[GHRM]实践在IT公司环境绩效的追求:SEM方法

2022 Interdisciplinary Research in Technology and Management (IRTM) Pub Date : 2022-02-24 DOI: 10.1109/irtm54583.2022.9791830

Shobhana N, Amudha R, Alamelu R, Rengarajan V, D. S., N. R.

{"title":"Green Human Resource Management [GHRM] Practices in Pursuit of Reinvigorating Environmental Performance in IT Firms: A SEM approach","authors":"Shobhana N, Amudha R, Alamelu R, Rengarajan V, D. S., N. R.","doi":"10.1109/irtm54583.2022.9791830","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791830","url":null,"abstract":"Green Human Resource Management [GHRM] is a set of policies and practices that induces green behavior in a firm through its employees, resulting in a sustainable environmental performance of the firm. With the sustainable development goals approaching with its deadlines, it is indeed imperative to focus on the impact of GHRM on the environmental performance of any firm. In this study, IT firms have been considered as they play a very pivotal role in the economy of India, in this digital era, with the pandemic effects as an add-on. An empirical study with 261 samples collected from IT employees has been conducted to bring out the relationship between GHRM practices and environmental performance in selected IT firms through purposive sampling. The study findings depict that GHRM practices have a strong and positive impact on the environmental performance of the firms. It can be seen that GHRM is an effective business strategy resulting in both energy conservation, cost-cutting, reduction in carbon footprints as well as increasing the profitability of the firm. Thus, the study provides an useful insight towards going green for reinvigorating the environmental performance of the firms.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"62 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131657650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Eye Tracking Analysis Using Convolutional Neural Network 基于卷积神经网络的眼动追踪分析

2022 Interdisciplinary Research in Technology and Management (IRTM) Pub Date : 2022-02-24 DOI: 10.1109/irtm54583.2022.9791826

Narayana Darapaneni, Meghana D Prakash, Bibek Sau, Meghasyam Madineni, Rahul Jangwan, A. Paduri, Jairajan K P, Mugdha H. Belsare, Pradeep Madhavankutty

{"title":"Eye Tracking Analysis Using Convolutional Neural Network","authors":"Narayana Darapaneni, Meghana D Prakash, Bibek Sau, Meghasyam Madineni, Rahul Jangwan, A. Paduri, Jairajan K P, Mugdha H. Belsare, Pradeep Madhavankutty","doi":"10.1109/irtm54583.2022.9791826","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791826","url":null,"abstract":"Eye tracking plays a pivotal role in fixing the user interface allowing one to understand what a person is actually looking at while browsing through a webcam or external cam or using an infrared eye tracker etc., which depends on needs and conditions. With eye-tracking, one can easily test any video material, AD performance, package design concepts, product shelf placement, website performance, mobile websites, and apps. It can be the supreme technology in providing various insights into the processes which involve application into various fields of academics, science & technology, marketing, and other researchers. The goal of eye tracking is to detect and measure the point of gaze (where one is looking) or the motion of eye(s) relative to the head. This study examines the current state-of-the-art in deep learning-based gaze estimation algorithms, with a particular focus on Convolutional Neural Networks (CNN). Several studies are focusing on various approaches for dealing with different head pose and gaze estimation. Large-scale gaze estimate datasets with various head poses and illumination conditions were reported in the current study. We are building a model detecting if the eyes captured are right or left and detecting the gazing point and the aim is to solve the problem if they are accurate. This defined problem requires a method with high learning capacity which is able to manage the complexity of the given dataset. For the present study Convolutional neural network(CNN) has proved effective to get better results for the defined problem.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120902980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A Review on Methods for Optimal Placement of Distributed Generation in Distribution Network 配电网分布式发电优化配置方法综述

2022 Interdisciplinary Research in Technology and Management (IRTM) Pub Date : 2022-02-24 DOI: 10.1109/irtm54583.2022.9791642

A. Verma, Ritula Thakur

{"title":"A Review on Methods for Optimal Placement of Distributed Generation in Distribution Network","authors":"A. Verma, Ritula Thakur","doi":"10.1109/irtm54583.2022.9791642","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791642","url":null,"abstract":"Centralized power plants like Coal-fired, nuclear, gas, and hydroelectric stations are traditionally used and they transmit electric power over long distances to substations. Distribution networks are normally radial type for simplicity of operation. Radial distribution systems (RDSs) are fed by only one substation i.e., no alternative for back up. The end users of electricity accept electric power from the substation via RDSs which are passive networks. Thus, in RDS, electric power flows unidirectionally and due to high R/X ratios, low voltage stability, large voltage drops and large power losses occur. Under severe loading conditions, issues like voltage collapse also appears. A good solution is to place DG in the distribution network, but DG requires proper installation to optimize the appropriate location and capacity of it. Numerous methods are used for DG allocation are classified into three groups, namely analytical, classical and heuristic approaches. The analytical approach has ease of implementation, but it provides near optimal solutions. The classical approach is adequate for small distribution networks but becomes complicated for bigger networks. Meta-heuristic techniques, like GA and other practical heuristic algorithms are rapid and alteration can be simply done. Only a single optimization technique cannot solve all type of optimization problems. Their performance varies from problem to problem. There is always a need to test different optimization techniques for various practical engineering problems. A review on optimal location and capacity of DG installation has been pursued in this article. The various solution techniques applicable for the solution of DG integration in distribution system are discussed and compared in this paper.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"6 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125292239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

A feasibility study on adoption of autonomous vans for relief distribution in rural India 采用自动驾驶货车在印度农村进行救济分发的可行性研究

2022 Interdisciplinary Research in Technology and Management (IRTM) Pub Date : 2022-02-24 DOI: 10.1109/irtm54583.2022.9791667

Swarnamouli Majumdar, Lou Lenzi, Mayur Srivastava

{"title":"A feasibility study on adoption of autonomous vans for relief distribution in rural India","authors":"Swarnamouli Majumdar, Lou Lenzi, Mayur Srivastava","doi":"10.1109/irtm54583.2022.9791667","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791667","url":null,"abstract":"In the wake of the COVID-19 global health emergency, governments in different countries of the world have restricted the movement of people and goods intra-country or even intrastate to reduce the spread of infections. Developing countries like India face an acute shortage of distribution centers for disaster management and recovery. Residents in semi-urban and rural areas in India continue to face tremendous scarcity of daily basic supplies and food grains. The safety concern stemming from the delivery options for essential goods from one point to another has been under serious concern considering the widespread of the coronavirus in India. The purpose of this study is to understand the shortcomings, needs and requirements of existing food and logistics supply in disaster scenarios by NGOs and local government and then perform a gap analysis to propose Connected Refrigerated Driverless Vans (CRDVs). The adoption of driverless car technology (DCT) is still a long-term effort, and this research aims to delve into the ways in which the proposed CRDV framework can be adopted in relief and supply distribution in rural India.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122896784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Lean Six Sigma and Design of Experiments: An Empirical Case Study From the Dairy Industry 精益六西格玛与实验设计:来自乳制品行业的实证案例研究

2022 Interdisciplinary Research in Technology and Management (IRTM) Pub Date : 2022-02-24 DOI: 10.1109/irtm54583.2022.9791828

Joel T. Nader

{"title":"Lean Six Sigma and Design of Experiments: An Empirical Case Study From the Dairy Industry","authors":"Joel T. Nader","doi":"10.1109/irtm54583.2022.9791828","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791828","url":null,"abstract":"In today's highly competitive business environments, fast-paced, flexible and dynamic strategies are adopted to preserve sustainability that remains the center of attention of all organizations. To achieve such long-term objective, business intelligence plays a vital role in transforming big data into knowledge to support all sorts of business decisions at strategic, tactical and operational levels. In this context, emerging data analytics technologies are being widely implemented nowadays as their integration suggests intriguing solutions that can lead businesses' sustainability strategies. Advanced analytics is a semi-autonomous or autonomous examination of data using sophisticated tools in order to discover new insights and generate accurate and valid outcomes. This paper portrays the four main types of data analytics encompassing the descriptive, diagnostic, predictive and prescriptive analysis procedures. Furthermore, this research focuses on one of the predictive analysis tools, known as lean six sigma methodology and the design of experiments. A case study applied in a dairy industry shows the effectiveness and accuracy of such an advanced modeling and optimization technique. In fact, response surface methodology was applied to obtain the highest product's quality while optimizing steam pressure and conveyor speed, the factors that were proven to highly affect the labeling process of milk bottles. The findings of the present study showed that at a speed of 125 bottles/min and by applying 0.77 bar of steam pressure, the optimal results of multiple response variables were achieved. These results provide interesting insights to managers in the dairy industry and pave the way for other researchers to discover the efficient and impactful adoption of lean six sigma approaches in other industries, especially to solve complex optimization models.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133174160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Framework for recognizing information about railway traffic lights 铁路交通灯信息识别框架

2022 Interdisciplinary Research in Technology and Management (IRTM) Pub Date : 2022-02-24 DOI: 10.1109/irtm54583.2022.9791668

Belykh M. Vladimirovna, Belov A. Vladimirovich

引用次数: 0

Advanced Analytics Tools for Process Improvement: A Case Study in a Brewery 用于过程改进的高级分析工具:啤酒厂的案例研究

2022 Interdisciplinary Research in Technology and Management (IRTM) Pub Date : 2022-02-24 DOI: 10.1109/irtm54583.2022.9791633

Joel T. Nader

{"title":"Advanced Analytics Tools for Process Improvement: A Case Study in a Brewery","authors":"Joel T. Nader","doi":"10.1109/irtm54583.2022.9791633","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791633","url":null,"abstract":"The fourth industrial revolution (Industry 4.0) and the digital transformation are rising exponentially nowadays. This digital revolution is mainly manifested by incorporation of different technologies that rely on Artificial Intelligence (AI) and Big Data to foster automatic learning systems. In this context, big data enables the integration of previously isolated systems allowing companies to obtain a complete visualization of operations and processes. Therefore, advanced analytics tools are needed to cope with complex data and provide deeper understandings and accurate predictions. This research paper presents insights on the most prominent analytics techniques including machine learning, neural network, genetic algorithm, dynamic programming, lean six sigma and response surface methodology. Additionally, the benefits of such techniques were portrayed to highlight their important role as efficient optimization methods in any organization. In this paper, one of the above-mentioned methods was valorized through a case study tackling the wort boiling in a brewery. Design of experiments, which is an advanced lean six sigma approach, was adopted to improve and optimize the brewing process. By implementing response surface methodology and by varying three operating parameters (pressure, boiling duration and extract before boiling) within their ranges of application, results suggest a positive impact on energy and steam consumption; the evaporation rate was stabilized, and total condensate was minimized. Although this case study sheds light on the necessary tools to reduce time, material and energy waste in a brewery, same strategy can be extrapolated to other comparable manufacturing companies.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"197 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124405325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0