Pub Date : 2023-06-29DOI: 10.1109/SCSE59836.2023.10215042
Sahan Halgahagama, C. Kavirathna
Green computing refers to the ecologically responsible and environmentally friendly use of computers and their resources. The primary goal of green computing is to reduce the carbon footprint caused by businesses and industries involved in information technology and systems. To go with green computing, various sorts of practices emerged at both the organizational and individual levels. When adopting green computing methods at the individual or organizational level, behavioral intention toward green computing has been highlighted as a key component. The primary goal of this study is to examine the relationship between factors and behavioral intention toward green computing practices among Sri Lankan undergraduates and then to present a validated model and make recommendations based on the findings. The conceptual framework was created using the theory of planned behavior and the norm activation model. A total of 165 samples were obtained by online questionnaire from undergraduates around twelve different universities, including both private and public universities. The collected data was analyzed using the PLS-SEM method, and the moderation effect of gender, respondent sector, and Sri Lanka’s economic crisis was examined. The personal norm’s mediation effect was investigated. The findings revealed that cost savings and personal norms had a substantial impact on behavioral intention. None of the moderators discovered a moderation effect, and it was discovered that there is a partial mediation from the personal norm. In conclusion, the study revealed that Sri Lankan institutions should focus more on providing a supportive social environment and making green computing techniques simple and easy to access for undergraduates.
{"title":"Investigating Factors Influencing Behavioral Intention Toward Green Computing Practices Among Undergraduates In Sri Lankan Universities","authors":"Sahan Halgahagama, C. Kavirathna","doi":"10.1109/SCSE59836.2023.10215042","DOIUrl":"https://doi.org/10.1109/SCSE59836.2023.10215042","url":null,"abstract":"Green computing refers to the ecologically responsible and environmentally friendly use of computers and their resources. The primary goal of green computing is to reduce the carbon footprint caused by businesses and industries involved in information technology and systems. To go with green computing, various sorts of practices emerged at both the organizational and individual levels. When adopting green computing methods at the individual or organizational level, behavioral intention toward green computing has been highlighted as a key component. The primary goal of this study is to examine the relationship between factors and behavioral intention toward green computing practices among Sri Lankan undergraduates and then to present a validated model and make recommendations based on the findings. The conceptual framework was created using the theory of planned behavior and the norm activation model. A total of 165 samples were obtained by online questionnaire from undergraduates around twelve different universities, including both private and public universities. The collected data was analyzed using the PLS-SEM method, and the moderation effect of gender, respondent sector, and Sri Lanka’s economic crisis was examined. The personal norm’s mediation effect was investigated. The findings revealed that cost savings and personal norms had a substantial impact on behavioral intention. None of the moderators discovered a moderation effect, and it was discovered that there is a partial mediation from the personal norm. In conclusion, the study revealed that Sri Lankan institutions should focus more on providing a supportive social environment and making green computing techniques simple and easy to access for undergraduates.","PeriodicalId":429228,"journal":{"name":"2023 International Research Conference on Smart Computing and Systems Engineering (SCSE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114720786","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 : 2023-06-29DOI: 10.1109/SCSE59836.2023.10214989
Pramodya Pathirana, Asini Silva, Thenuka Lawrence, T. Weerasinghe, Roshan Abeyweera
PDF (Portable Document Format) is a popular file format used for sharing and storing documents across different platforms. However, there are occasions when the content of a PDF document needs to be re-purposed for online use. PDF-toHTML conversion is a common method used to achieve this goal. This research paper presents a comparative evaluation of existing PDF-to-HTML conversion tools for their suitability in extracting text and images. These tools were tested using school textbooks in Sri Lanka, which contain complex text formatting and non-textual elements. The evaluation was based on various criteria, such as the accuracy of the output, handling of complex text formatting, and non-textual elements. Comparisons were drawn based on the performance of each of these tools with respect to the criteria. The study provides useful insights for individuals and organizations looking to re-purpose PDF content for online use in the HTML format, particularly in the education sector.
{"title":"A Comparative Evaluation of PDF-to-HTML Conversion Tools","authors":"Pramodya Pathirana, Asini Silva, Thenuka Lawrence, T. Weerasinghe, Roshan Abeyweera","doi":"10.1109/SCSE59836.2023.10214989","DOIUrl":"https://doi.org/10.1109/SCSE59836.2023.10214989","url":null,"abstract":"PDF (Portable Document Format) is a popular file format used for sharing and storing documents across different platforms. However, there are occasions when the content of a PDF document needs to be re-purposed for online use. PDF-toHTML conversion is a common method used to achieve this goal. This research paper presents a comparative evaluation of existing PDF-to-HTML conversion tools for their suitability in extracting text and images. These tools were tested using school textbooks in Sri Lanka, which contain complex text formatting and non-textual elements. The evaluation was based on various criteria, such as the accuracy of the output, handling of complex text formatting, and non-textual elements. Comparisons were drawn based on the performance of each of these tools with respect to the criteria. The study provides useful insights for individuals and organizations looking to re-purpose PDF content for online use in the HTML format, particularly in the education sector.","PeriodicalId":429228,"journal":{"name":"2023 International Research Conference on Smart Computing and Systems Engineering (SCSE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127064673","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 : 2023-06-29DOI: 10.1109/SCSE59836.2023.10215043
Wsmss Samarakoon, Ad Dharmawansa
The growth of virtual teams (VTs) in organizations can be attributed to the numerous technological advantages. However, virtual teams often face challenges when working on projects. Also, virtual teams are challenged not only to coordinate projects in virtual team environment but also to improve and build trust and, psychological safety within the culturally and geographically diverse team members. This research aims to identify the factors for influencing the performance of virtual teams in Sri Lanka, a topic that has received limited attention in developing countries. The study focuses on four independent variables; trust, knowledge sharing, psychological safety and team leader support with virtual team performance as the dependent variable. A 5 – point Likert-type online questionnaire was used to collect sample of 244 responses, representing 61 virtual teams from 22 private Information Technology (IT) companies in Sri Lanka. Structural Equation Modeling (SEM) was employed for data analysis. The findings indicate that trust and knowledge sharing significantly affect factors virtual team performance in the IT industry in Sri Lanka. However, knowledge sharing and team leader support were not found to have a significant impact on virtual team performance. Based on research findings, recommendations will be provided for IT industry employees and managers to ensure the trust and knowledge sharing between the team members, thereby improving overall team productivity.
{"title":"Identifying the Factors for Influencing the Performance of the Virtual Teams in the Sri Lankan IT Industry","authors":"Wsmss Samarakoon, Ad Dharmawansa","doi":"10.1109/SCSE59836.2023.10215043","DOIUrl":"https://doi.org/10.1109/SCSE59836.2023.10215043","url":null,"abstract":"The growth of virtual teams (VTs) in organizations can be attributed to the numerous technological advantages. However, virtual teams often face challenges when working on projects. Also, virtual teams are challenged not only to coordinate projects in virtual team environment but also to improve and build trust and, psychological safety within the culturally and geographically diverse team members. This research aims to identify the factors for influencing the performance of virtual teams in Sri Lanka, a topic that has received limited attention in developing countries. The study focuses on four independent variables; trust, knowledge sharing, psychological safety and team leader support with virtual team performance as the dependent variable. A 5 – point Likert-type online questionnaire was used to collect sample of 244 responses, representing 61 virtual teams from 22 private Information Technology (IT) companies in Sri Lanka. Structural Equation Modeling (SEM) was employed for data analysis. The findings indicate that trust and knowledge sharing significantly affect factors virtual team performance in the IT industry in Sri Lanka. However, knowledge sharing and team leader support were not found to have a significant impact on virtual team performance. Based on research findings, recommendations will be provided for IT industry employees and managers to ensure the trust and knowledge sharing between the team members, thereby improving overall team productivity.","PeriodicalId":429228,"journal":{"name":"2023 International Research Conference on Smart Computing and Systems Engineering (SCSE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127647253","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}
Continuous Integration and Continuous Delivery (CI/CD) is an Agile-based software development methodology becoming increasingly popular in the software development industry due to its ability to automate the software delivery process, reduce the time to market, and enhance software quality. However, despite the growing interest in CI/CD adoption, many organizations have not achieved full success in implementing and utilizing the CI/CD workflow. To address this gap, this study aimed to identify the factors that drive the behavioural intention of IT employees to use the CI/CD workflow: based on the Sri Lankan context. A systematic literature review using the PRISMA framework identified the Technology Acceptance Model and the Unified Theory of Acceptance and Use of Technology models as the most widely used and accepted models for understanding technology adoption. Therefore, TAM, UTAUT and past literature were used to develop the conceptual framework. The variables in this research model were measured through questionnaires with nominal and five-point Likert scales and close-ended questions, which were completed by the IT employees in Sri Lanka. Data cleaning and demographic data analysis were conducted using IBM SPSS 21, and preliminary data analysis was performed using PLS-SEM (SmartPLS 4). The study found that Performance expectancy is the most significant factor determining IT employees’ behavioural intention to use CI/CD workflow. Therefore, the study concluded that organizations and management should focus more on enhancing employees’ performance expectancy to adopt CI/CD workflow successfully.
{"title":"Determinants that drive the behavioural intention of employees in the IT industry to use CI/CD framework: A study based on Sri Lankan IT companies","authors":"Chamindu Karunarathna, Shanaka Jayasinghe, Janaka Wijayanayaka","doi":"10.1109/SCSE59836.2023.10215049","DOIUrl":"https://doi.org/10.1109/SCSE59836.2023.10215049","url":null,"abstract":"Continuous Integration and Continuous Delivery (CI/CD) is an Agile-based software development methodology becoming increasingly popular in the software development industry due to its ability to automate the software delivery process, reduce the time to market, and enhance software quality. However, despite the growing interest in CI/CD adoption, many organizations have not achieved full success in implementing and utilizing the CI/CD workflow. To address this gap, this study aimed to identify the factors that drive the behavioural intention of IT employees to use the CI/CD workflow: based on the Sri Lankan context. A systematic literature review using the PRISMA framework identified the Technology Acceptance Model and the Unified Theory of Acceptance and Use of Technology models as the most widely used and accepted models for understanding technology adoption. Therefore, TAM, UTAUT and past literature were used to develop the conceptual framework. The variables in this research model were measured through questionnaires with nominal and five-point Likert scales and close-ended questions, which were completed by the IT employees in Sri Lanka. Data cleaning and demographic data analysis were conducted using IBM SPSS 21, and preliminary data analysis was performed using PLS-SEM (SmartPLS 4). The study found that Performance expectancy is the most significant factor determining IT employees’ behavioural intention to use CI/CD workflow. Therefore, the study concluded that organizations and management should focus more on enhancing employees’ performance expectancy to adopt CI/CD workflow successfully.","PeriodicalId":429228,"journal":{"name":"2023 International Research Conference on Smart Computing and Systems Engineering (SCSE)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121029254","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 : 2023-06-29DOI: 10.1109/SCSE59836.2023.10215044
R. Tiwari, Vinay Gautam, Vikrant Sharma, A. Jain, N. K. Trivedi
Deep connections exist between dance and cultural heritage. Dance is frequently passed down through generations as an essential component of a culture’s identity and as a means of maintaining and honoring that culture’s distinctive traditions and customs. A culture’s history, beliefs, and values can be powerfully expressed via dance, which can also be used for communication and storytelling. For the purpose of protecting and promoting India’s cultural legacy, it is crucial to comprehend how Indian dance styles are categorized. This paper proposes a hybrid Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) deep learning approach for the accurate classification of Indian dance style categories. The proposed model combines the strengths of both CNN and RNN to leverage spatial and temporal information, respectively, resulting in enhanced performance and improved accuracy. Extensive experiments were conducted to evaluate the performance of the proposed approach. The results demonstrate that the hybrid CNN-RNN model achieved an impressive accuracy of 97.74%, outperforming traditional methods and single-model architectures.
{"title":"Preserving India’s Rich Dance Heritage: A Classification of Indian Dance Forms and Innovative Digital Management Solutions for Cultural Heritage Conservation","authors":"R. Tiwari, Vinay Gautam, Vikrant Sharma, A. Jain, N. K. Trivedi","doi":"10.1109/SCSE59836.2023.10215044","DOIUrl":"https://doi.org/10.1109/SCSE59836.2023.10215044","url":null,"abstract":"Deep connections exist between dance and cultural heritage. Dance is frequently passed down through generations as an essential component of a culture’s identity and as a means of maintaining and honoring that culture’s distinctive traditions and customs. A culture’s history, beliefs, and values can be powerfully expressed via dance, which can also be used for communication and storytelling. For the purpose of protecting and promoting India’s cultural legacy, it is crucial to comprehend how Indian dance styles are categorized. This paper proposes a hybrid Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) deep learning approach for the accurate classification of Indian dance style categories. The proposed model combines the strengths of both CNN and RNN to leverage spatial and temporal information, respectively, resulting in enhanced performance and improved accuracy. Extensive experiments were conducted to evaluate the performance of the proposed approach. The results demonstrate that the hybrid CNN-RNN model achieved an impressive accuracy of 97.74%, outperforming traditional methods and single-model architectures.","PeriodicalId":429228,"journal":{"name":"2023 International Research Conference on Smart Computing and Systems Engineering (SCSE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115282479","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 : 2023-06-29DOI: 10.1109/SCSE59836.2023.10215039
Ahamed Thahseen, W.N.I. Tissera, S. Vidhanaarachchi, N. Aaron., D.C.N Rajapaksha, P.V Fernando, Thisuru Dias, Thatamathy Fernando
This research paper introduces a groundbreaking smart system designed to assist hearing-impaired students in comprehending spoken Tamil, the second language in Sri Lanka. The system addresses the challenges faced by these students by incorporating cutting-edge deep learning techniques, including Convolutional Neural Networks, Hidden Markov Models, and Recurrent Neural Networks, for efficient feature extraction and sequence modeling within an Automatic Speech Recognition framework. Additionally, the paper proposes a novel method for automatically recognizing Tamil Sign Language gestures using advanced hand gesture recognition algorithms and a comprehensive dataset of Tamil Sign Language. The system encompasses four primary classification approaches, enabling the conversion of Tamil Sign Language to Text. Text to Tamil Sign Language, lip reading to Tamil Sign Language, Normal voice to Tamil Sign Language -Sign Language to Normal Voice and physical object identification to both text and Tamil Sign Language. Notably, the system achieves remarkable results, boasting an impressive accuracy rate of 0.99% surpassing existing Automatic Speech Recognition and Text-to-Speech systems. This significant breakthrough holds immense potential in enhancing the learning experience of hearing-impaired students in Tamil-speaking regions. Furthermore, the system’s adaptability allows for future expansion to support additional languages, making it highly versatile for diverse educational and communication settings.
{"title":"Smart System to Support Hearing Impaired Students in Tamil","authors":"Ahamed Thahseen, W.N.I. Tissera, S. Vidhanaarachchi, N. Aaron., D.C.N Rajapaksha, P.V Fernando, Thisuru Dias, Thatamathy Fernando","doi":"10.1109/SCSE59836.2023.10215039","DOIUrl":"https://doi.org/10.1109/SCSE59836.2023.10215039","url":null,"abstract":"This research paper introduces a groundbreaking smart system designed to assist hearing-impaired students in comprehending spoken Tamil, the second language in Sri Lanka. The system addresses the challenges faced by these students by incorporating cutting-edge deep learning techniques, including Convolutional Neural Networks, Hidden Markov Models, and Recurrent Neural Networks, for efficient feature extraction and sequence modeling within an Automatic Speech Recognition framework. Additionally, the paper proposes a novel method for automatically recognizing Tamil Sign Language gestures using advanced hand gesture recognition algorithms and a comprehensive dataset of Tamil Sign Language. The system encompasses four primary classification approaches, enabling the conversion of Tamil Sign Language to Text. Text to Tamil Sign Language, lip reading to Tamil Sign Language, Normal voice to Tamil Sign Language -Sign Language to Normal Voice and physical object identification to both text and Tamil Sign Language. Notably, the system achieves remarkable results, boasting an impressive accuracy rate of 0.99% surpassing existing Automatic Speech Recognition and Text-to-Speech systems. This significant breakthrough holds immense potential in enhancing the learning experience of hearing-impaired students in Tamil-speaking regions. Furthermore, the system’s adaptability allows for future expansion to support additional languages, making it highly versatile for diverse educational and communication settings.","PeriodicalId":429228,"journal":{"name":"2023 International Research Conference on Smart Computing and Systems Engineering (SCSE)","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127492807","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}
Industry 4.0 can be identified as a critical enabler of supply chain integration. This study aims to investigate the impact of Industry 4.0 on supply chain integration (SCI) in apparel industry in Sri Lanka. The study employed quantitative approach having targeted 72 apparel companies registered in the Sri Lankan apparel exporter association for data collection purposes and data analysis was conducted using linear regression analysis technique. Findings reveals that there is a statistically significant positive impact of Industry 4.0 (internet of things, cloud computing, and cyber security) on supply chain integration. Interestingly, cloud computing shows a more robust positive impact on supply chain integration in comparison to internet of things and cyber security. For the supply chain practitioners, the results can be beneficial for understanding the importance and potential of industry 4.0 on supply chain integration in the apparel industry. It will also aid supply chain managers in deciding which technology trends should be prioritized and invested to optimize the scarce tech resources in the company. This study provides insights into the literature on link between supply chain integration and industry 4.0 in developing country contexts. Also, this paper is one of the few first studies focusing the link between industry 4.0 and supply chain integration.
{"title":"The Impact of Industry 4.0 on Supply Chain Integration in Apparel Sector, Sri Lanka","authors":"Chamathka Madushanka, Abdul Hakeem, Chamodani Uththarangi, Janama Rupigeena, Colinie Wickramaarachchi, Sandali Ehalapitiya, Naduni Madhavika","doi":"10.1109/SCSE59836.2023.10215014","DOIUrl":"https://doi.org/10.1109/SCSE59836.2023.10215014","url":null,"abstract":"Industry 4.0 can be identified as a critical enabler of supply chain integration. This study aims to investigate the impact of Industry 4.0 on supply chain integration (SCI) in apparel industry in Sri Lanka. The study employed quantitative approach having targeted 72 apparel companies registered in the Sri Lankan apparel exporter association for data collection purposes and data analysis was conducted using linear regression analysis technique. Findings reveals that there is a statistically significant positive impact of Industry 4.0 (internet of things, cloud computing, and cyber security) on supply chain integration. Interestingly, cloud computing shows a more robust positive impact on supply chain integration in comparison to internet of things and cyber security. For the supply chain practitioners, the results can be beneficial for understanding the importance and potential of industry 4.0 on supply chain integration in the apparel industry. It will also aid supply chain managers in deciding which technology trends should be prioritized and invested to optimize the scarce tech resources in the company. This study provides insights into the literature on link between supply chain integration and industry 4.0 in developing country contexts. Also, this paper is one of the few first studies focusing the link between industry 4.0 and supply chain integration.","PeriodicalId":429228,"journal":{"name":"2023 International Research Conference on Smart Computing and Systems Engineering (SCSE)","volume":"1 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123577572","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 : 2023-06-29DOI: 10.1109/SCSE59836.2023.10215034
Amalka Peliarachchi, J. Wijayanayake
The Information Technology Infrastructure Library (ITIL) aims to effectively manage the entire lifecycle of IT services, yet it lacks direct control over the formation or changes of IT services. Integrating the Agile methodology with ITIL, particularly in project lifecycle management, has proven challenging for researchers. To address this and facilitate Business As Usual (BAU) activities in the IT industry, a proposed framework called A-ITIL (Agile-ITIL combined framework) has been introduced. This research focuses on the requirement of combining Agile and ITIL in BAU tasks within the IT sector. Critical success factors for integrating Agile with ITIL in BAU activities have been identified through shared questionnaires and research articles. The research process involved an online questionnaire to assess the Agile-ITIL literacy of respondents and determine the necessity of combining Agile and ITIL in BAU. A second questionnaire was used to evaluate the transparency of transitioning BAU between Agile and ITIL, document the challenges faced during this transition, and propose mitigating strategies involving key stakeholders. Based on the questionnaire results, a user story was created to identify key points for the A-ITIL framework. Additionally, research articles were analyzed to identify key success factors for Agile and ITIL separately. Combining these findings, along with insights from an interview with Agile/ITIL experts, an A-ITIL conceptual model was designed as a foundation for integrating Agile-ITIL and ensuring smooth BAU activities within IT organizations
{"title":"Evaluating Business As Usual activities between Agile and Information Technology Infrastructure Library (A-ITIL): Industry practitioners’ point of view","authors":"Amalka Peliarachchi, J. Wijayanayake","doi":"10.1109/SCSE59836.2023.10215034","DOIUrl":"https://doi.org/10.1109/SCSE59836.2023.10215034","url":null,"abstract":"The Information Technology Infrastructure Library (ITIL) aims to effectively manage the entire lifecycle of IT services, yet it lacks direct control over the formation or changes of IT services. Integrating the Agile methodology with ITIL, particularly in project lifecycle management, has proven challenging for researchers. To address this and facilitate Business As Usual (BAU) activities in the IT industry, a proposed framework called A-ITIL (Agile-ITIL combined framework) has been introduced. This research focuses on the requirement of combining Agile and ITIL in BAU tasks within the IT sector. Critical success factors for integrating Agile with ITIL in BAU activities have been identified through shared questionnaires and research articles. The research process involved an online questionnaire to assess the Agile-ITIL literacy of respondents and determine the necessity of combining Agile and ITIL in BAU. A second questionnaire was used to evaluate the transparency of transitioning BAU between Agile and ITIL, document the challenges faced during this transition, and propose mitigating strategies involving key stakeholders. Based on the questionnaire results, a user story was created to identify key points for the A-ITIL framework. Additionally, research articles were analyzed to identify key success factors for Agile and ITIL separately. Combining these findings, along with insights from an interview with Agile/ITIL experts, an A-ITIL conceptual model was designed as a foundation for integrating Agile-ITIL and ensuring smooth BAU activities within IT organizations","PeriodicalId":429228,"journal":{"name":"2023 International Research Conference on Smart Computing and Systems Engineering (SCSE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128627966","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 : 2023-06-29DOI: 10.1109/SCSE59836.2023.10215012
G.Kasuri Abhilashani, M. Ranathunga, A. Wijayanayake
In the dynamic and developing e-commerce era, last-mile delivery has emerged as one of the critical operations among all. The last-mile delivery in the e-commerce industry is facing high costs due to a going economic crisis which led to fuel and other operating cost increments. To overcome this situation, the e-commerce industry needs to optimise vehicle delivery routing based on time windows to minimise the overall cost. Despite numerous studies on last-mile delivery, there is a paucity of studies on last-mile delivery optimisation considering the customer’s anticipated time windows. Therefore, this study has been conducted with the objective of optimising and minimising transportation costs and vehicle usage in last-mile delivery operations while meeting some practical requirements such as a variety of package types, package compatibility on different types of vehicles; the customer expected delivery time windows and a heterogeneous fleet of vehicles. After a careful literature review, this paper introduces a mathematical model to optimise last-mile delivery. The proposed mathematical model was simulated in SupplyChainGuru® modelling and simulation software. The study concluded that the overall last-mile delivery cost is minimised by about 22% while reducing the number of vehicles on the route, failed delivery package count and utilising the maximum possible capacity of vehicles while also increasing customer satisfaction by giving consumers a chance to select customer preferred time windows for package delivery. This cluster-based delivery will improve the routing of the e-commerce logistic supply chain and will serve as a platform for extending the cluster-based delivery process to other industries as well.
{"title":"Minimising Last-Mile Delivery Cost and Vehicle Usage Through an Optimised Delivery Network Considering Customer-Preferred Time Windows","authors":"G.Kasuri Abhilashani, M. Ranathunga, A. Wijayanayake","doi":"10.1109/SCSE59836.2023.10215012","DOIUrl":"https://doi.org/10.1109/SCSE59836.2023.10215012","url":null,"abstract":"In the dynamic and developing e-commerce era, last-mile delivery has emerged as one of the critical operations among all. The last-mile delivery in the e-commerce industry is facing high costs due to a going economic crisis which led to fuel and other operating cost increments. To overcome this situation, the e-commerce industry needs to optimise vehicle delivery routing based on time windows to minimise the overall cost. Despite numerous studies on last-mile delivery, there is a paucity of studies on last-mile delivery optimisation considering the customer’s anticipated time windows. Therefore, this study has been conducted with the objective of optimising and minimising transportation costs and vehicle usage in last-mile delivery operations while meeting some practical requirements such as a variety of package types, package compatibility on different types of vehicles; the customer expected delivery time windows and a heterogeneous fleet of vehicles. After a careful literature review, this paper introduces a mathematical model to optimise last-mile delivery. The proposed mathematical model was simulated in SupplyChainGuru® modelling and simulation software. The study concluded that the overall last-mile delivery cost is minimised by about 22% while reducing the number of vehicles on the route, failed delivery package count and utilising the maximum possible capacity of vehicles while also increasing customer satisfaction by giving consumers a chance to select customer preferred time windows for package delivery. This cluster-based delivery will improve the routing of the e-commerce logistic supply chain and will serve as a platform for extending the cluster-based delivery process to other industries as well.","PeriodicalId":429228,"journal":{"name":"2023 International Research Conference on Smart Computing and Systems Engineering (SCSE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117209837","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 : 2023-06-29DOI: 10.1109/SCSE59836.2023.10214991
H.A.Dimuthu, M. Arachchi, G. Samarasinghe
This study focused on explaining the influence of retail service robot (RSR) personality traits on consumers’ acceptance of retail service robot (RSR); this study also examined moderating impact of anxiety toward robots. Based on the extensive literature review, this study formulated eight hypotheses to support the arguments. Quantitative methodology with a survey strategy was undertaken, which had an effective sample size of 259 young consumers. Furthermore, analysis was carried out using Smart partial least squares (PLS)-structural equation modelling. The study finds a significant direct relationship between the RSR personality traits (intelligence, sincere, and creative) and consumers’ perceived control. Other than that, it also finds significant relationships between consumers’ perceived control, anticipated service quality and RSR acceptance. It was further revealed that anxiety toward Robots significantly moderates impact on RSR personality traits on consumers’ perceived control. The findings shed the light on improving retail service quality with humanoid based applications.
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