Pub Date : 2023-02-22DOI: 10.1109/ICIPTM57143.2023.10118085
Ameet, Chhavi Rana
The epidemic caused by COVID-19 presents a significant risk to the continuation of human civilisation and has already done irreparable damage to society. In this paper, forecasting of Coronavirus outbreak in India is performed by LSTM and CovnLSTM deep neural network techniques. COVID-19 data of confirmed cases of India is used. It was taken from John Hopkins University. The loss rate of ConvLSTM is lower than LSTM and RMSE of ConvLSTM is lower than LSTM. For training Covn-LSTM shows 0.069% and testing ConvLSTM shows 0.32% improvement over LSTM model. Therefore, ConvLSTM outperformed over LSTM model. Further wise selection of hyper-parameters could increase the accuracy of the models.
{"title":"Time series prediction of the COVID-19 outbreak in India using LSTM based deep learning models","authors":"Ameet, Chhavi Rana","doi":"10.1109/ICIPTM57143.2023.10118085","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10118085","url":null,"abstract":"The epidemic caused by COVID-19 presents a significant risk to the continuation of human civilisation and has already done irreparable damage to society. In this paper, forecasting of Coronavirus outbreak in India is performed by LSTM and CovnLSTM deep neural network techniques. COVID-19 data of confirmed cases of India is used. It was taken from John Hopkins University. The loss rate of ConvLSTM is lower than LSTM and RMSE of ConvLSTM is lower than LSTM. For training Covn-LSTM shows 0.069% and testing ConvLSTM shows 0.32% improvement over LSTM model. Therefore, ConvLSTM outperformed over LSTM model. Further wise selection of hyper-parameters could increase the accuracy of the models.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133761500","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}
Pub Date : 2023-02-22DOI: 10.1109/ICIPTM57143.2023.10117849
C. Mohanraj, N. Pushpalatha, Muthumanidevi B, A. S., R. Sivakumar, Vandana Sharma, A. Alkhayyat
One of the primary difficulties the distribution network needs to solve is power loss. The “power mismatch” between generation and metered consumption may be employed to describe it. This power larceny has a major influence on distribution utilities. The goal of our proposed system is to design a system to monitor the electricity used by each load and to identify and eradicate electricity theft from current lines and meters. The proposed method also addresses the issue of overloading. It also entails reporting to the Electricity Board representatives the theft that was committed via IoT. The ATmega328 microcontroller in this instance is utilised to detect energy larceny and transmit the data to the IoT module, which then transmits the data to the EB. The practical application of this proposed method results in significant electricity savings, which boosts the economy of the nation.
{"title":"Conspiracy in the Stealing of Electricity Detection Through the IOT","authors":"C. Mohanraj, N. Pushpalatha, Muthumanidevi B, A. S., R. Sivakumar, Vandana Sharma, A. Alkhayyat","doi":"10.1109/ICIPTM57143.2023.10117849","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10117849","url":null,"abstract":"One of the primary difficulties the distribution network needs to solve is power loss. The “power mismatch” between generation and metered consumption may be employed to describe it. This power larceny has a major influence on distribution utilities. The goal of our proposed system is to design a system to monitor the electricity used by each load and to identify and eradicate electricity theft from current lines and meters. The proposed method also addresses the issue of overloading. It also entails reporting to the Electricity Board representatives the theft that was committed via IoT. The ATmega328 microcontroller in this instance is utilised to detect energy larceny and transmit the data to the IoT module, which then transmits the data to the EB. The practical application of this proposed method results in significant electricity savings, which boosts the economy of the nation.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"296 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133977781","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}
Pub Date : 2023-02-22DOI: 10.1109/ICIPTM57143.2023.10118284
Snighdha Malhotra, V. Agarwal, M. Anjum, Akshay Parashar
Industry 4.0 is all about putting industrial data from multiple sources into a data lake and then using analytics, artificial intelligence, machine learning to utilize the data for businesses. The primary reason for that is the advent of the Internet of Things (IoT). IoT has enabled uninterrupted sharing and exchange of data for its users from the consumer to the industrial level. Although still in the nascent stage of evolution, IoT has the potential to significantly impact business outcomes and will be instrumental in bringing a transformation in the way we communicate and exchange information. However, there remains a considerable gap in identifying the challenges in the implementation of IoT platforms and techniques. This paper aims at presenting a comprehensive analysis of the major challenges in the implementation of IoT and classifies them into two broad categories-technological and managerial according to the opinions of the experts. An attempt has been made herein to create a hierarchy depicting the key challenges where the researchers and industry should focus their attention and make better strategic decisions. A multi-criteria decision-making method known as the Best-Worst Method (BWM) has been used to rate the challenges. Results show that power requirement is the major challenge in technological challenges and maintenance is the major challenge in managerial challenges.
{"title":"Characterising IoT for Smart development: Anaylsing the challenges","authors":"Snighdha Malhotra, V. Agarwal, M. Anjum, Akshay Parashar","doi":"10.1109/ICIPTM57143.2023.10118284","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10118284","url":null,"abstract":"Industry 4.0 is all about putting industrial data from multiple sources into a data lake and then using analytics, artificial intelligence, machine learning to utilize the data for businesses. The primary reason for that is the advent of the Internet of Things (IoT). IoT has enabled uninterrupted sharing and exchange of data for its users from the consumer to the industrial level. Although still in the nascent stage of evolution, IoT has the potential to significantly impact business outcomes and will be instrumental in bringing a transformation in the way we communicate and exchange information. However, there remains a considerable gap in identifying the challenges in the implementation of IoT platforms and techniques. This paper aims at presenting a comprehensive analysis of the major challenges in the implementation of IoT and classifies them into two broad categories-technological and managerial according to the opinions of the experts. An attempt has been made herein to create a hierarchy depicting the key challenges where the researchers and industry should focus their attention and make better strategic decisions. A multi-criteria decision-making method known as the Best-Worst Method (BWM) has been used to rate the challenges. Results show that power requirement is the major challenge in technological challenges and maintenance is the major challenge in managerial challenges.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122118603","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}
Pub Date : 2023-02-22DOI: 10.1109/ICIPTM57143.2023.10118067
A. Srivastava, Nilu Singh, Kamran Suhail
As the globe transitions to the internet age, software has emerged as the factor primarily essential to the success of the digital realm. Software now permeates every aspect of daily existence in the age of computers. It is relatively simple to administer software in any business for employees, employers, and other components of the organization. Our daily lives are made more convenient and hassle-free by this software. Shopping, news, processing sales data, architectural, medical, banking, and other aspects of our lives are all handled digitally. One of the most significant fields today is online banking, which also relies on software. Nevertheless, software security is also a significant concern. Any program, especially banking software, that has security flaws can cause us problems. The development of secure software becomes extremely difficult if there is a compromise at the design stage. Therefore, it must be avoided throughout the design phase. Software security risks are software flaws that allow harmful activities to occur accidentally. Consequently, it is a matter that must be properly managed during the design phase. The majority of Developers rely more on their knowledge and experience in risk management than on risk management frameworks. From the Common Weakness Enumeration (CWE), the authors have compiled a list of potential vulnerabilities that could be discovered during software design.
{"title":"Major Software Security Risks in Banking Industry: Design Phase Perspective","authors":"A. Srivastava, Nilu Singh, Kamran Suhail","doi":"10.1109/ICIPTM57143.2023.10118067","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10118067","url":null,"abstract":"As the globe transitions to the internet age, software has emerged as the factor primarily essential to the success of the digital realm. Software now permeates every aspect of daily existence in the age of computers. It is relatively simple to administer software in any business for employees, employers, and other components of the organization. Our daily lives are made more convenient and hassle-free by this software. Shopping, news, processing sales data, architectural, medical, banking, and other aspects of our lives are all handled digitally. One of the most significant fields today is online banking, which also relies on software. Nevertheless, software security is also a significant concern. Any program, especially banking software, that has security flaws can cause us problems. The development of secure software becomes extremely difficult if there is a compromise at the design stage. Therefore, it must be avoided throughout the design phase. Software security risks are software flaws that allow harmful activities to occur accidentally. Consequently, it is a matter that must be properly managed during the design phase. The majority of Developers rely more on their knowledge and experience in risk management than on risk management frameworks. From the Common Weakness Enumeration (CWE), the authors have compiled a list of potential vulnerabilities that could be discovered during software design.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117226928","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}
Pub Date : 2023-02-22DOI: 10.1109/ICIPTM57143.2023.10117956
Navleen Kaur, Swaralipi Saha, V. Agarwal, Shrey Gulati
The development of the metaverse may have a substantial effect on the financial sector, opening new avenues for firms and investors to interact with digital assets and engage in virtual trade. It's important to note that there are a variety of financial applications for metaverse technology, including virtual banking, trading platforms, and even insurance services. Users may require access to virtual money in a metaverse so they can purchase virtual goods and services. Metaverse banks could provide financial services such as virtual currency exchange, virtual wallet services, and virtual lending. They could also offer traditional banking services, such as loans and savings accounts, but in a virtual context. These services could be used by individuals, businesses, and organizations operating within the metaverse. In stock markets, companies that could benefit from the metaverse's growth include those involved in virtual reality and augmented reality, as well as those that provide the infrastructure required to support the metaverse. TAM (Technology Acceptance Model) is applied for understanding how users perceive and adopt metaverse technology.
{"title":"Metaverse and Fintech: Pathway for Innovation and Development","authors":"Navleen Kaur, Swaralipi Saha, V. Agarwal, Shrey Gulati","doi":"10.1109/ICIPTM57143.2023.10117956","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10117956","url":null,"abstract":"The development of the metaverse may have a substantial effect on the financial sector, opening new avenues for firms and investors to interact with digital assets and engage in virtual trade. It's important to note that there are a variety of financial applications for metaverse technology, including virtual banking, trading platforms, and even insurance services. Users may require access to virtual money in a metaverse so they can purchase virtual goods and services. Metaverse banks could provide financial services such as virtual currency exchange, virtual wallet services, and virtual lending. They could also offer traditional banking services, such as loans and savings accounts, but in a virtual context. These services could be used by individuals, businesses, and organizations operating within the metaverse. In stock markets, companies that could benefit from the metaverse's growth include those involved in virtual reality and augmented reality, as well as those that provide the infrastructure required to support the metaverse. TAM (Technology Acceptance Model) is applied for understanding how users perceive and adopt metaverse technology.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115597935","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}
Pub Date : 2023-02-22DOI: 10.1109/ICIPTM57143.2023.10117617
Kumar Rajesh, Sanjeev Kumar, Kanaujia kumar Binod, H. Olasiuk, N. Vihari
The current study describes the design analysis and implementation for the Cascode Class-F Power Amplifier (PA) Sub-6-GHz Massive MIMO Application. The reconfigurable Microstrip differential filter (RMDF) is selected for providing high efficiency. A RMDF technique is utilized to enhance the gain of 13.5 dB and improve the resonance band operation. The design verified 10 to 35.8 dBm of power output & added power efficiency of (PAE) of 69.4%. The designed PA presents a significant enhancement in new IOT transmitter for medical industry. The applications of the current study can be used for wireless 5G technology, multiple data signaling for antenna application, multiple radio-link for radio receiver.
本研究描述了Cascode f类功率放大器(PA) sub -6 ghz大规模MIMO应用的设计分析和实现。选择可重构微带差分滤波器(RMDF)，以提供高效率。利用RMDF技术提高了13.5 dB的增益，改善了谐振频带的工作。该设计验证了10 ~ 35.8 dBm的功率输出，(PAE)的附加功率效率为69.4%。所设计的PA在医疗行业的新型物联网发射机中具有显著的增强作用。目前研究的应用可用于无线5G技术、天线应用的多数据信令、无线电接收机的多无线电链路。
{"title":"High Efficiency class-F−1 Amplifier with reconfigurable microstrip Differential Filter for Sub-6-GHz Massive MIMO Application","authors":"Kumar Rajesh, Sanjeev Kumar, Kanaujia kumar Binod, H. Olasiuk, N. Vihari","doi":"10.1109/ICIPTM57143.2023.10117617","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10117617","url":null,"abstract":"The current study describes the design analysis and implementation for the Cascode Class-F Power Amplifier (PA) Sub-6-GHz Massive MIMO Application. The reconfigurable Microstrip differential filter (RMDF) is selected for providing high efficiency. A RMDF technique is utilized to enhance the gain of 13.5 dB and improve the resonance band operation. The design verified 10 to 35.8 dBm of power output & added power efficiency of (PAE) of 69.4%. The designed PA presents a significant enhancement in new IOT transmitter for medical industry. The applications of the current study can be used for wireless 5G technology, multiple data signaling for antenna application, multiple radio-link for radio receiver.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"76 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114013179","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}
Pub Date : 2023-02-22DOI: 10.1109/ICIPTM57143.2023.10118186
T. Kokilavani, D. Gunapriya, G. V., N. Pusphalatha, N. Hemalatha, Vandana Sharma, A. Alkhayyat
In today's scenario the development of electric vehicles is day by day increasing in a great manner. Due to the increase demand in the electric vehicles, the need of the charging stations is also increasing. It is an important and essential duty to look after the health and maintain the charging stations for the better utility. On the other the energy usage should be in manner that maintains a sustainable development. This project proposes a method which power up the charging station in two ways which promotes sustainable development also the excess of the power is converted to AC supply and can be utilized by the people. This prototype model works using microcontroller board.
{"title":"Electric Vehicle Charging Station with Effective Energy Management, Integrating Renewable and Grid Power","authors":"T. Kokilavani, D. Gunapriya, G. V., N. Pusphalatha, N. Hemalatha, Vandana Sharma, A. Alkhayyat","doi":"10.1109/ICIPTM57143.2023.10118186","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10118186","url":null,"abstract":"In today's scenario the development of electric vehicles is day by day increasing in a great manner. Due to the increase demand in the electric vehicles, the need of the charging stations is also increasing. It is an important and essential duty to look after the health and maintain the charging stations for the better utility. On the other the energy usage should be in manner that maintains a sustainable development. This project proposes a method which power up the charging station in two ways which promotes sustainable development also the excess of the power is converted to AC supply and can be utilized by the people. This prototype model works using microcontroller board.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117131657","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}
Pub Date : 2023-02-22DOI: 10.1109/ICIPTM57143.2023.10117854
M. Aggarwal, Vikas Khullar, Nitin Goyal
Rice is third most commonly grain in the world. Some farmers chose rice cultivation over other crops because of rice's wide range of habitat adaptability and minor agriculture threat as the population slowly grows; by 2050, it is predicted that 14,886 million metric tonnes food will required to meet demand. Agribusiness contributes roughly 17% of India's GDP, and surveys indicate that roughly 70% of the population is either relying directly or indirectly on agriculture. A variety of ailments and infections in plants can be brought on by a variety of factors, including soil characteristics, environmental factors, the choice of undesirable crops, poor manure, and various leaf diseases. Plant diseases have a significant impact on agricultural production. These factors have a direct impact on the country's overall crop production. Continuous plant monitoring is required to prevent disease infection. Early plant disease detection is therefore of utmost importance in agriculture. The main motive of paper is to propose an effective and appropriate method for classifying various rice leaf diseases using deep learning approaches. Initially, classification was accomplished through the use of machine and ensemble learning classifiers. The outcomes were compared to CNN and transfer learning models. InceptionResNetV2 has the highest validation accuracy of 88 percent. According to the comparison, transfer learning models outperform machine learning classifiers.
{"title":"Exploring Classification of Rice Leaf Diseases using Machine Learning and Deep Learning","authors":"M. Aggarwal, Vikas Khullar, Nitin Goyal","doi":"10.1109/ICIPTM57143.2023.10117854","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10117854","url":null,"abstract":"Rice is third most commonly grain in the world. Some farmers chose rice cultivation over other crops because of rice's wide range of habitat adaptability and minor agriculture threat as the population slowly grows; by 2050, it is predicted that 14,886 million metric tonnes food will required to meet demand. Agribusiness contributes roughly 17% of India's GDP, and surveys indicate that roughly 70% of the population is either relying directly or indirectly on agriculture. A variety of ailments and infections in plants can be brought on by a variety of factors, including soil characteristics, environmental factors, the choice of undesirable crops, poor manure, and various leaf diseases. Plant diseases have a significant impact on agricultural production. These factors have a direct impact on the country's overall crop production. Continuous plant monitoring is required to prevent disease infection. Early plant disease detection is therefore of utmost importance in agriculture. The main motive of paper is to propose an effective and appropriate method for classifying various rice leaf diseases using deep learning approaches. Initially, classification was accomplished through the use of machine and ensemble learning classifiers. The outcomes were compared to CNN and transfer learning models. InceptionResNetV2 has the highest validation accuracy of 88 percent. According to the comparison, transfer learning models outperform machine learning classifiers.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115022116","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}
Pub Date : 2023-02-22DOI: 10.1109/ICIPTM57143.2023.10118279
R. Das, Ritika Kapoor, T. V, R. Varun, Shambhavi Bhagat
A electric car similar to formula style is the main goal. A single seat and the engine is a features of a Formula One race car. The battery is placed behind the seat of the driver. Formula One championships are held all over the world. One of the major challenges in recent years has been traffic and pollution. For a formula electric car, electrical characteristics are critical. It is beneficial to the environment since it emits no emissions. The popularity of electric vehicles has grown in all industries, and it would be a fantastic project to employ in Formula One.
{"title":"Analysis Of Electrical Parameters For Formula Style Electric Vehicle","authors":"R. Das, Ritika Kapoor, T. V, R. Varun, Shambhavi Bhagat","doi":"10.1109/ICIPTM57143.2023.10118279","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10118279","url":null,"abstract":"A electric car similar to formula style is the main goal. A single seat and the engine is a features of a Formula One race car. The battery is placed behind the seat of the driver. Formula One championships are held all over the world. One of the major challenges in recent years has been traffic and pollution. For a formula electric car, electrical characteristics are critical. It is beneficial to the environment since it emits no emissions. The popularity of electric vehicles has grown in all industries, and it would be a fantastic project to employ in Formula One.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115339669","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}
This paper aims to examine cultural intelligence's impact on the internationalisation process of Indian SMEs located in Delhi / NCR and doing business in Nordic countries. The study investigates conceptual associations in the North Indian metro cities context, based on structural equation modeling with maximum likelihood estimation, using a sample of Executives from Small and medium private IT/ITES organizations. The study shows that cultural intelligence positively affects the internationalisation process of Indian SMEs in Delhi / NCR and doing business in Nordic countries. Cultural intelligence is helping firms to overcome cultural barriers and administrative issues in a better way and making the globalization process easier. To help Small and medium private IT/TIES organizations consider moving into international markets, especially in Nordic countries. Hiring leaders with more cross-cultural experience and knowledge can help these firms function smoothly while dealing with Nordic clients.
{"title":"Cultural Intelligence and Internationalisation: An Investigative tale of Indian SMEs Exploring Nordic Region","authors":"Dr. Anchal Luthra, Shivani Dixit, Seema Garg, Tanu Manocha, Vinita Sharma, Ritu Sharma","doi":"10.1109/ICIPTM57143.2023.10118119","DOIUrl":"https://doi.org/10.1109/ICIPTM57143.2023.10118119","url":null,"abstract":"This paper aims to examine cultural intelligence's impact on the internationalisation process of Indian SMEs located in Delhi / NCR and doing business in Nordic countries. The study investigates conceptual associations in the North Indian metro cities context, based on structural equation modeling with maximum likelihood estimation, using a sample of Executives from Small and medium private IT/ITES organizations. The study shows that cultural intelligence positively affects the internationalisation process of Indian SMEs in Delhi / NCR and doing business in Nordic countries. Cultural intelligence is helping firms to overcome cultural barriers and administrative issues in a better way and making the globalization process easier. To help Small and medium private IT/TIES organizations consider moving into international markets, especially in Nordic countries. Hiring leaders with more cross-cultural experience and knowledge can help these firms function smoothly while dealing with Nordic clients.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129762797","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}
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