Responsible consumption, often used interchangeably with sustainable consumption, is a way of consumption that considers the economic, social, and environmental effects of the goods or services being consumed. Ensuring sustainable consumption and production patterns is one of the 17 Sustainable Development Goals (SDGs) published by the United Nations (2023) The research aims to comprehend the awareness, practice, and scope of responsible consumption behaviour among women in India. It also serves as a means to highlight the necessity for further researches on Indian women’s approach towards responsible consumption, attributing to India’s abundance in resources as well as population, with women being an influential segment of the Indian society. The research analyses primary data obtained from an online survey (n = 102) and online focus group interview (n = 4) with women consumers. The online survey checks the respondents’ views through a series of Likert scale- based situational questions, while the focus group interview attempts to employ a more communicative and open-ended approach towards decoding Indian women’s awareness and practice of responsible consumer behaviour. Diagnostic analysis of the obtained qualitative data has been performed. Although application of convenience sampling method for the selection of the sample ensures exhaustiveness and authenticity in the responses, lack of diversity in the sample might diminish the generalizability of the inferences. Furthermore, the respondents’ self-reported data might lack reliability, as it could be influenced by social desirability bias or inaccurate self-perceptions. Lack of statistical analysis tools for qualitative studies like this one makes the implementation of their results quite subjective and therefore, more complex. However, this report presents a thorough descriptive interpretation of the research and serves as a starting point for further researches in this domain, with emphasis on women consumers.
{"title":"Responsible Consumption by Indian Women and Sustainability","authors":"Debajani Sahoo, Dr. P. Ammani","doi":"10.52783/jier.v4i2.1194","DOIUrl":"https://doi.org/10.52783/jier.v4i2.1194","url":null,"abstract":"Responsible consumption, often used interchangeably with sustainable consumption, is a way of consumption that considers the economic, social, and environmental effects of the goods or services being consumed. Ensuring sustainable consumption and production patterns is one of the 17 Sustainable Development Goals (SDGs) published by the United Nations (2023) \u0000The research aims to comprehend the awareness, practice, and scope of responsible consumption behaviour among women in India. It also serves as a means to highlight the necessity for further researches on Indian women’s approach towards responsible consumption, attributing to India’s abundance in resources as well as population, with women being an influential segment of the Indian society. \u0000The research analyses primary data obtained from an online survey (n = 102) and online focus group interview (n = 4) with women consumers. The online survey checks the respondents’ views through a series of Likert scale- based situational questions, while the focus group interview attempts to employ a more communicative and open-ended approach towards decoding Indian women’s awareness and practice of responsible consumer behaviour. Diagnostic analysis of the obtained qualitative data has been performed. \u0000Although application of convenience sampling method for the selection of the sample ensures exhaustiveness and authenticity in the responses, lack of diversity in the sample might diminish the generalizability of the inferences. Furthermore, the respondents’ self-reported data might lack reliability, as it could be influenced by social desirability bias or inaccurate self-perceptions. Lack of statistical analysis tools for qualitative studies like this one makes the implementation of their results quite subjective and therefore, more complex. However, this report presents a thorough descriptive interpretation of the research and serves as a starting point for further researches in this domain, with emphasis on women consumers.","PeriodicalId":496224,"journal":{"name":"Journal of Informatics Education and Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141823617","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}
Contract labour is referred to as contingent workforce around the world. Many, if not most, organizations now use a combination of contingent and non-contingent staff. A contingent worker can be a freelancer, independent consultant, contractor, part-timer, on-call worker, or someone with another form of alternative employment arrangement. Contingent workers operate on a project-based model, meaning they are engaged specifically for particular tasks or projects, rather than being hired for ongoing, continuous employment. In essence, they are brought in as needed, depending on the requirements of each project. Unlike permanent employees who have ongoing roles within the organization, contingent workers are typically not guaranteed ongoing work beyond the scope of the current project they are hired for.
{"title":"The Contingent Workforce Revolution in APAC","authors":"Dr Kanchan Khatana1, Sulakshana Banerjee2","doi":"10.52783/jier.v4i2.1138","DOIUrl":"https://doi.org/10.52783/jier.v4i2.1138","url":null,"abstract":"Contract labour is referred to as contingent workforce around the world. Many, if not most, organizations now use a combination of contingent and non-contingent staff. A contingent worker can be a freelancer, independent consultant, contractor, part-timer, on-call worker, or someone with another form of alternative employment arrangement. Contingent workers operate on a project-based model, meaning they are engaged specifically for particular tasks or projects, rather than being hired for ongoing, continuous employment. In essence, they are brought in as needed, depending on the requirements of each project. Unlike permanent employees who have ongoing roles within the organization, contingent workers are typically not guaranteed ongoing work beyond the scope of the current project they are hired for.","PeriodicalId":496224,"journal":{"name":"Journal of Informatics Education and Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141672944","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}
Ms. Neetu Chadha, Dr. Ridhi Khattar, Dr. Meghna Chhabra
Purpose of the study: Examining and evaluating the short- and long-term linkages and correlations between foreign portfolio investment flows in the Indian IT sector and the performance of IT companies in the Indian equities market is the aim of this study. This study looks into the effects of foreign portfolio investments in the IT industry on sectoral returns and the volatility of pertinent sector stock indices. Design/Methodology/Approach: For an eleven-year period, from April 2012 to March 2023, the current study employs weekly time series data of the FPI, VIX, interest rate, CPI, and exchange rate USD-INR for the IT sector. In order to accomplish the stated goal of the study, this work applies the Granger causality test and the Johansen Cointegration test. After stationarity has been established, the next step is to search for autoregressive conditional heteroscedasticity (ARCH). GARCH (2,1) is the most acceptable predictor for determining the level of volatility in the IT industry because weekly data was used in this study. Findings: The results determined that there is a bidirectional Granger Causality between FII-IT movements and Nifty-IT movements. The IT sector's long-term FPI movements were positively correlated with returns, as demonstrated by the findings of Johansen's Co-integration Test. The results also show that as FPIs increase, stock values decrease because stock prices are increasingly susceptible to their selling pressure. A study showed a connection between FII inflows and outflows and surges in the volatility of the IT industry. Implications and Recommendations: The study provides policymakers with a number of recommendations for bolstering the Indian stock market. First, given the current state of the economy, India has embraced a policy to encourage Foreign Portfolio Investors (FPIs) in its capital markets. This is because FPIs boost capital inflows into the nation while maintaining the nation's low level of foreign debt. Second, increased financial stability and efficiency are needed by small-cap companies, particularly those that are still developing. Due to this fact, the government must create appropriate rules for their sustainable financial development.
研究目的本研究旨在探讨和评估印度 IT 行业的外国证券投资流与印度股票市场上 IT 公司业绩之间的短期和长期联系与相关性。本研究探讨了外国证券投资在 IT 行业对行业回报率和相关行业股票指数波动性的影响。设计/方法/途径：在 2012 年 4 月至 2023 年 3 月的 11 年期间，本研究采用了 IT 行业的 FPI、VIX、利率、CPI 和美元兑印度卢比汇率的每周时间序列数据。为了实现研究的既定目标，本研究采用了格兰杰因果检验和约翰森协整检验。在确定了静止性之后，下一步就是寻找自回归条件异方差（ARCH）。GARCH (2,1) 是确定 IT 行业波动水平的最可接受的预测因子，因为本研究使用的是周数据。 研究结果研究结果表明，FII-IT 波动与 Nifty-IT 波动之间存在双向格兰杰因果关系。约翰森协整检验的结果表明，IT 行业的长期外国证券投资变动与回报率呈正相关。结果还显示，随着外国证券投资的增加，股票价值也会下降，因为股票价格越来越容易受到其抛售压力的影响。一项研究表明，外国投资机构的流入和流出与 IT 行业的波动性激增之间存在联系。影响和建议：本研究为政策制定者提供了一些扶持印度股市的建议。首先，鉴于当前的经济状况，印度应采取鼓励外国证券投资者（FPI）进入其资本市场的政策。这是因为外国证券投资者在保持国家低外债水平的同时，还促进了资本流入。其次，小型公司，尤其是仍在发展中的小型公司，需要提高金融稳定性和效率。因此，政府必须为这些公司的可持续金融发展制定适当的规则。
{"title":"FPI in It Sector: Navigating Investment Flows and Market Volatility","authors":"Ms. Neetu Chadha, Dr. Ridhi Khattar, Dr. Meghna Chhabra","doi":"10.52783/jier.v4i2.1136","DOIUrl":"https://doi.org/10.52783/jier.v4i2.1136","url":null,"abstract":"Purpose of the study: \u0000Examining and evaluating the short- and long-term linkages and correlations between foreign portfolio investment flows in the Indian IT sector and the performance of IT companies in the Indian equities market is the aim of this study. This study looks into the effects of foreign portfolio investments in the IT industry on sectoral returns and the volatility of pertinent sector stock indices. \u0000Design/Methodology/Approach: \u0000For an eleven-year period, from April 2012 to March 2023, the current study employs weekly time series data of the FPI, VIX, interest rate, CPI, and exchange rate USD-INR for the IT sector. In order to accomplish the stated goal of the study, this work applies the Granger causality test and the Johansen Cointegration test. After stationarity has been established, the next step is to search for autoregressive conditional heteroscedasticity (ARCH). GARCH (2,1) is the most acceptable predictor for determining the level of volatility in the IT industry because weekly data was used in this study. \u0000 \u0000Findings: \u0000The results determined that there is a bidirectional Granger Causality between FII-IT movements and Nifty-IT movements. The IT sector's long-term FPI movements were positively correlated with returns, as demonstrated by the findings of Johansen's Co-integration Test. The results also show that as FPIs increase, stock values decrease because stock prices are increasingly susceptible to their selling pressure. A study showed a connection between FII inflows and outflows and surges in the volatility of the IT industry. \u0000Implications and Recommendations: \u0000The study provides policymakers with a number of recommendations for bolstering the Indian stock market. First, given the current state of the economy, India has embraced a policy to encourage Foreign Portfolio Investors (FPIs) in its capital markets. This is because FPIs boost capital inflows into the nation while maintaining the nation's low level of foreign debt. Second, increased financial stability and efficiency are needed by small-cap companies, particularly those that are still developing. Due to this fact, the government must create appropriate rules for their sustainable financial development.","PeriodicalId":496224,"journal":{"name":"Journal of Informatics Education and Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141672140","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}
The food industry is a critical sector in any country’s economy, and in India, it holds immense significance due to its vast population and diverse food consumption patterns. In recent years, the food industry in India has been undergoing a transformation, largely driven by the advent of industry 4.0 technologies. This abstract provides a concise summary of the paper outlining key segments in the food value chain, key trends in the Indian market Which mainly focusing on trends in consumption and trends in supply, and it explores the impact of industry 4.0 technologies including the IoT, AI, Big Data Analysis, Block Chain into the food segment supply chain. In the other phases, the researcher detailed explain about the sustainable supply chain, opportunities & benefits of the food segment in the supply chain through industry 4.0.
{"title":"Supply Chain Analysis of India's Food Segment in the Context of Industry 4.0","authors":"M. Madhuritha, Dr.G. Nedumaran","doi":"10.52783/jier.v4i2.1120","DOIUrl":"https://doi.org/10.52783/jier.v4i2.1120","url":null,"abstract":"The food industry is a critical sector in any country’s economy, and in India, it holds immense significance due to its vast population and diverse food consumption patterns. In recent years, the food industry in India has been undergoing a transformation, largely driven by the advent of industry 4.0 technologies. This abstract provides a concise summary of the paper outlining key segments in the food value chain, key trends in the Indian market Which mainly focusing on trends in consumption and trends in supply, and it explores the impact of industry 4.0 technologies including the IoT, AI, Big Data Analysis, Block Chain into the food segment supply chain. In the other phases, the researcher detailed explain about the sustainable supply chain, opportunities & benefits of the food segment in the supply chain through industry 4.0.","PeriodicalId":496224,"journal":{"name":"Journal of Informatics Education and Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141677714","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}
Bhup Singh Gaur, Binoyjyoti Das, Dr. Apoorva Misra, Dr. Sanjeeb Mallick, Dr. Jigneshkumar B. Patel, Monika
This paper delves into the complex role of media in influencing perceptions of women's empowerment, highlighting the various obstacles and possibilities for transformation. Through a meticulous examination of the available literature, this study offers valuable insights into the impact of media on societal perceptions of women's empowerment. The paper thoroughly examines the portrayal of women in traditional media outlets and the changing landscape of digital platforms by analysing secondary data from various academic sources. The findings shed light on the intricate relationship between media portrayals and efforts to empower women, underscoring the importance of actively analysing media stories to promote substantial advancements. The study highlights the impact of media on shaping and reinforcing societal views on gender, which in turn can shape public opinion and policy decisions. Moreover, the analysis highlights the significance of digital media in offering fresh avenues for women's voices, while also posing novel obstacles like online harassment and misinformation. In conclusion, the paper highlights the significance of media literacy and advocacy in addressing gender stereotypes and advancing gender equality. There is a need for greater awareness and education to empower audiences to evaluate media content in a discerning manner, resulting in a more balanced portrayal of women in media stories.
{"title":"The Role of Media in Shaping Perceptions of Women's Empowerment: Challenges and Opportunities for Change","authors":"Bhup Singh Gaur, Binoyjyoti Das, Dr. Apoorva Misra, Dr. Sanjeeb Mallick, Dr. Jigneshkumar B. Patel, Monika","doi":"10.52783/jier.v4i1.1102","DOIUrl":"https://doi.org/10.52783/jier.v4i1.1102","url":null,"abstract":"This paper delves into the complex role of media in influencing perceptions of women's empowerment, highlighting the various obstacles and possibilities for transformation. Through a meticulous examination of the available literature, this study offers valuable insights into the impact of media on societal perceptions of women's empowerment. The paper thoroughly examines the portrayal of women in traditional media outlets and the changing landscape of digital platforms by analysing secondary data from various academic sources. The findings shed light on the intricate relationship between media portrayals and efforts to empower women, underscoring the importance of actively analysing media stories to promote substantial advancements. The study highlights the impact of media on shaping and reinforcing societal views on gender, which in turn can shape public opinion and policy decisions. Moreover, the analysis highlights the significance of digital media in offering fresh avenues for women's voices, while also posing novel obstacles like online harassment and misinformation. In conclusion, the paper highlights the significance of media literacy and advocacy in addressing gender stereotypes and advancing gender equality. There is a need for greater awareness and education to empower audiences to evaluate media content in a discerning manner, resulting in a more balanced portrayal of women in media stories.","PeriodicalId":496224,"journal":{"name":"Journal of Informatics Education and Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141703365","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}
Priyabrata Swain, Amit Kumar Jain, J.Anix Joel Singh, Pranjal Rawat, Puneet Sethi, Sarathsimha Bhattaru
This paper explores the impact of digital transformation in the age of Industry 4.0 on business models and operations, with a specific focus on literature published between 2018 and 2024. The emergence of Industry 4.0 has brought about significant transformations in traditional business frameworks and operational processes. This is primarily due to the advancements in technologies such as the Internet of Things (IoT), artificial intelligence (AI), and big data analytics. This research explores various important topics, including the development of digital business models, the effects of new technologies on operational efficiency, and the long-term viability of digital transformation efforts. The findings indicate that in order to stay competitive and ensure long-term viability, businesses need to constantly innovate their models and strategically incorporate advanced technologies. The study highlights the significance of change management and organizational culture in enabling successful digital transformation. This paper offers a thorough examination of various sources, providing a well-rounded perspective on how businesses can effectively navigate the complexities of Industry 4.0. The insights gained from this research contribute to fostering a business environment that is flexible and capable of withstanding challenges.
{"title":"Digital Transformation in the Era of Industry 4.0: Implications for Business Models and Operations","authors":"Priyabrata Swain, Amit Kumar Jain, J.Anix Joel Singh, Pranjal Rawat, Puneet Sethi, Sarathsimha Bhattaru","doi":"10.52783/jier.v4i2.979","DOIUrl":"https://doi.org/10.52783/jier.v4i2.979","url":null,"abstract":"This paper explores the impact of digital transformation in the age of Industry 4.0 on business models and operations, with a specific focus on literature published between 2018 and 2024. The emergence of Industry 4.0 has brought about significant transformations in traditional business frameworks and operational processes. This is primarily due to the advancements in technologies such as the Internet of Things (IoT), artificial intelligence (AI), and big data analytics. This research explores various important topics, including the development of digital business models, the effects of new technologies on operational efficiency, and the long-term viability of digital transformation efforts. The findings indicate that in order to stay competitive and ensure long-term viability, businesses need to constantly innovate their models and strategically incorporate advanced technologies. The study highlights the significance of change management and organizational culture in enabling successful digital transformation. This paper offers a thorough examination of various sources, providing a well-rounded perspective on how businesses can effectively navigate the complexities of Industry 4.0. The insights gained from this research contribute to fostering a business environment that is flexible and capable of withstanding challenges.","PeriodicalId":496224,"journal":{"name":"Journal of Informatics Education and Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141707090","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}
Chennakeshi Ganesh, Dr. Sapna Mathur, Dr. Yogendra Singh, Anand Brahmbhatt, Dr. Christabell Joseph, Dr. Prakashraj P. Kumavat
This is new era of shopping and buying almost anything. The customer does not have to shake a leg to secure or get hold of anything. Just a little time and few clicks on the online shopping platform will do the job. But as the offline shopping patterns have changed so have changed the shopping style and preferences of the customers. Now they have plentiful of choices, delivery preferences, types of discounts and perks. Despite of all these the people who do not shop online are a common finding. What are the reasons that they do not have trust or is trust a stable feature among whose who regularly shop online are the skeptical aspects that have been explored in this paper.
{"title":"Online Shopping Behavior: Factors Affecting Consumer Trust and Purchase Intensions in E-commerce","authors":"Chennakeshi Ganesh, Dr. Sapna Mathur, Dr. Yogendra Singh, Anand Brahmbhatt, Dr. Christabell Joseph, Dr. Prakashraj P. Kumavat","doi":"10.52783/jier.v4i1.1100","DOIUrl":"https://doi.org/10.52783/jier.v4i1.1100","url":null,"abstract":"This is new era of shopping and buying almost anything. The customer does not have to shake a leg to secure or get hold of anything. Just a little time and few clicks on the online shopping platform will do the job. But as the offline shopping patterns have changed so have changed the shopping style and preferences of the customers. Now they have plentiful of choices, delivery preferences, types of discounts and perks. Despite of all these the people who do not shop online are a common finding. What are the reasons that they do not have trust or is trust a stable feature among whose who regularly shop online are the skeptical aspects that have been explored in this paper.","PeriodicalId":496224,"journal":{"name":"Journal of Informatics Education and Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141691299","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}
Dr. Somasekhar Donthu, Balbhagvan Acharya, Keerthiraj
The research paper examines how HR Analytics can be used to leverage big data in making decisions in Human Resource Management (HRM) that lead to a transformation. By collecting, analyzing and interpreting vast amounts of employee data systematically, the HR analytics offers actionable insights for workforce management optimization, productivity enhancement and alignment of human capital with organizational objectives. The study incorporates major theories such as resource-based view and human capital theory, and employs advanced analytical models like regression analysis, logistic regression for turnover prediction and k-means clustering for workforce segmentation. Results show that engagement and training significantly affected performance while effective prediction of turnover was based on metrics of performance and engagement. Clustering shows separate employee groups that promote directed HR strategies. This research highlights the need for data driven HR practices to gain competitive advantage and achieve organizational success. It also emphasizes ethical considerations as well as calls for further research incorporating advanced machine learning techniques, real-time data analytics, and long-term effects of HR Analytics. As a result, this paper presents a solid structure enabling HR practitioners to implement data-driven approaches that enhance an environment of continuous improvement in HRM.
{"title":"HR Analytics: Leveraging Big Data to Drive Strategic Decision-Making in Human Resource Management","authors":"Dr. Somasekhar Donthu, Balbhagvan Acharya, Keerthiraj","doi":"10.52783/jier.v4i1.1101","DOIUrl":"https://doi.org/10.52783/jier.v4i1.1101","url":null,"abstract":"The research paper examines how HR Analytics can be used to leverage big data in making decisions in Human Resource Management (HRM) that lead to a transformation. By collecting, analyzing and interpreting vast amounts of employee data systematically, the HR analytics offers actionable insights for workforce management optimization, productivity enhancement and alignment of human capital with organizational objectives. The study incorporates major theories such as resource-based view and human capital theory, and employs advanced analytical models like regression analysis, logistic regression for turnover prediction and k-means clustering for workforce segmentation. Results show that engagement and training significantly affected performance while effective prediction of turnover was based on metrics of performance and engagement. Clustering shows separate employee groups that promote directed HR strategies. This research highlights the need for data driven HR practices to gain competitive advantage and achieve organizational success. It also emphasizes ethical considerations as well as calls for further research incorporating advanced machine learning techniques, real-time data analytics, and long-term effects of HR Analytics. As a result, this paper presents a solid structure enabling HR practitioners to implement data-driven approaches that enhance an environment of continuous improvement in HRM. \u0000 ","PeriodicalId":496224,"journal":{"name":"Journal of Informatics Education and Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141711032","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}
Dr. Rajkumar Garg, Ms. Meenakshi Verma, Upasana Singh, Sushant Joshi
In a world increasingly driven by technology, the field of creative content production stands on the initiative of a revolution. This paper explores the cutting-edge advancements in Generative Artificial Intelligence (GAI) & its profound impact on creative content creation. By leveraging the power of neural networks, GAI has the potential to transform how we generate, consume, and interact with creative works across various mediums. The paper begins by explaining the core principles of GAI, simplifying complex concepts for readers. It explores the fascinating world of neural networks, demonstrating how these intricate systems learn and replicate creative patterns and styles similar to human thinking. But the fascination doesn't end there. As the story progresses, the paper reveals the diverse benefits of GAI for creative professionals and enthusiasts alike. From transforming content creation processes to enabling personalized experiences and simplifying automation, the possibilities seem limitless. However, every technological wonder comes with its own set of challenges and considerations. This paper navigates through the ethical maze surrounding GAI, addressing concerns such as prejudices, copyright issues, and the intricate balance between human and artificial creativity. It advocates for responsible and moral practices in the use of GAI, ensuring that this potent tool is employed for the betterment of society. Yet, the most compelling feature lies in the introduction of a groundbreaking innovation: the "Investigate" algorithm. This algorithm, a culmination of advanced techniques including reinforcement learning and evolutionary optimization, promises to enhance GAI's impact by expanding the boundaries of neural network potential even further. It intrigues readers with the promising potential of a future where AI continuously improves itself, leading to the creation of increasingly sophisticated and innovative creative content. In conclusion, this paper calls upon readers to embark on a journey of discovery and innovation, inviting them to explore further into the realm of GAI's impact on creative content production. Through the examination of neural network potential and the moral considerations that come with it, we stand on the threshold of a new era in creativity and innovation.
在技术日益驱动的世界里，创意内容制作领域正处于革命的前沿。本文探讨了生成式人工智能（GAI）的前沿进展及其对创意内容创作的深远影响。通过利用神经网络的力量，GAI 有可能改变我们在各种媒介上生成、消费和与创意作品互动的方式。本文首先解释了 GAI 的核心原理，为读者简化了复杂的概念。它探索了迷人的神经网络世界，展示了这些错综复杂的系统如何学习和复制与人类思维相似的创意模式和风格。但魅力还不止于此。随着故事的发展，论文揭示了 GAI 为创意专业人士和爱好者带来的各种好处。从改变内容创作流程到实现个性化体验和简化自动化，GAI 的可能性似乎是无限的。然而，每一项技术奇迹都伴随着一系列挑战和考虑因素。本文探讨了围绕 GAI 的道德迷宫，解决了偏见、版权问题以及人类和人工创造力之间错综复杂的平衡等问题。它倡导在使用 GAI 时采取负责任和合乎道德的做法，确保这一有力工具的使用能够改善社会。然而，该书最引人注目的地方在于引入了一项突破性创新："调查 "算法。该算法是强化学习和进化优化等先进技术的结晶，有望进一步拓展神经网络的潜力边界，从而增强 GAI 的影响力。在未来，人工智能将不断自我完善，从而创造出日益复杂和创新的创意内容。总之，本文呼吁读者踏上探索和创新之旅，邀请他们进一步探索 GAI 对创意内容制作的影响。通过研究神经网络的潜力和随之而来的道德考量，我们正站在创意和创新新时代的门槛上。
{"title":"Amplifying Generative AI's Impact on Creative Content: Maximizing Neural Network Potential","authors":"Dr. Rajkumar Garg, Ms. Meenakshi Verma, Upasana Singh, Sushant Joshi","doi":"10.52783/jier.v4i2.925","DOIUrl":"https://doi.org/10.52783/jier.v4i2.925","url":null,"abstract":"In a world increasingly driven by technology, the field of creative content production stands on the initiative of a revolution. This paper explores the cutting-edge advancements in Generative Artificial Intelligence (GAI) & its profound impact on creative content creation. By leveraging the power of neural networks, GAI has the potential to transform how we generate, consume, and interact with creative works across various mediums. \u0000The paper begins by explaining the core principles of GAI, simplifying complex concepts for readers. It explores the fascinating world of neural networks, demonstrating how these intricate systems learn and replicate creative patterns and styles similar to human thinking. \u0000But the fascination doesn't end there. As the story progresses, the paper reveals the diverse benefits of GAI for creative professionals and enthusiasts alike. From transforming content creation processes to enabling personalized experiences and simplifying automation, the possibilities seem limitless. \u0000However, every technological wonder comes with its own set of challenges and considerations. This paper navigates through the ethical maze surrounding GAI, addressing concerns such as prejudices, copyright issues, and the intricate balance between human and artificial creativity. It advocates for responsible and moral practices in the use of GAI, ensuring that this potent tool is employed for the betterment of society. \u0000Yet, the most compelling feature lies in the introduction of a groundbreaking innovation: the \"Investigate\" algorithm. This algorithm, a culmination of advanced techniques including reinforcement learning and evolutionary optimization, promises to enhance GAI's impact by expanding the boundaries of neural network potential even further. It intrigues readers with the promising potential of a future where AI continuously improves itself, leading to the creation of increasingly sophisticated and innovative creative content. \u0000In conclusion, this paper calls upon readers to embark on a journey of discovery and innovation, inviting them to explore further into the realm of GAI's impact on creative content production. Through the examination of neural network potential and the moral considerations that come with it, we stand on the threshold of a new era in creativity and innovation.","PeriodicalId":496224,"journal":{"name":"Journal of Informatics Education and Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140967142","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}
Dr. Pankaj Dixit, Dr. Hitesh Harwani, Pragati kachhi, Dr. Ritesh Amarsela, Dr. Kamal Patel, Dr. Mitesh J. Patel
Abstract: Despite the advancements in modern accounting systems, fraud remains a prevalent issue, necessitating extensive time and financial resources for audits. Integrating modern accounting ledgers with a public blockchain could facilitate easily verifiable accounting records, streamlining the audit evidence gathering and analytics process. Continuous audits could become feasible through readily available audit evidence from the public blockchain. The proposed audit solution aims to establish verifiable "Financial Fingerprints" (signed indexes) for each accounting entry, subsequently publishing them to specific addresses on the public blockchain. This initiative seeks to structure accounting ledgers in a Triple Entry Accounting format, where the third entry involves notarizing an index of each accounting entry on the public blockchain. The essence of Triple Entry Accounting lies in its atomicity, ensuring a single authoritative set of books. Any attempt to present an alternative set of books would be automatically detected. The approach to achieving this objective can be articulated through two value propositions. Firstly, Triple Entry Accounting offers a means to establish a provable official set of books, providing market access independent of network effects. Secondly, it aims to dismantle data silos by leveraging the blockchain as a shared ledger, thereby assisting auditors in efficiently gathering adequate audit evidence. With its standalone value proposition, Triple Entry Accounting offers benefits even before the network effect comes into play, leading to the development of an open standardized protocol for implementing it as an extension to modern accounting systems.
{"title":"Incorporating Triple Entry Accounting as an Audit Tool—Enhancing Modern Accounting Systems","authors":"Dr. Pankaj Dixit, Dr. Hitesh Harwani, Pragati kachhi, Dr. Ritesh Amarsela, Dr. Kamal Patel, Dr. Mitesh J. Patel","doi":"10.52783/jier.v4i2.924","DOIUrl":"https://doi.org/10.52783/jier.v4i2.924","url":null,"abstract":"Abstract: Despite the advancements in modern accounting systems, fraud remains a prevalent issue, necessitating extensive time and financial resources for audits. Integrating modern accounting ledgers with a public blockchain could facilitate easily verifiable accounting records, streamlining the audit evidence gathering and analytics process. Continuous audits could become feasible through readily available audit evidence from the public blockchain. The proposed audit solution aims to establish verifiable \"Financial Fingerprints\" (signed indexes) for each accounting entry, subsequently publishing them to specific addresses on the public blockchain. This initiative seeks to structure accounting ledgers in a Triple Entry Accounting format, where the third entry involves notarizing an index of each accounting entry on the public blockchain. The essence of Triple Entry Accounting lies in its atomicity, ensuring a single authoritative set of books. Any attempt to present an alternative set of books would be automatically detected. The approach to achieving this objective can be articulated through two value propositions. Firstly, Triple Entry Accounting offers a means to establish a provable official set of books, providing market access independent of network effects. Secondly, it aims to dismantle data silos by leveraging the blockchain as a shared ledger, thereby assisting auditors in efficiently gathering adequate audit evidence. With its standalone value proposition, Triple Entry Accounting offers benefits even before the network effect comes into play, leading to the development of an open standardized protocol for implementing it as an extension to modern accounting systems.","PeriodicalId":496224,"journal":{"name":"Journal of Informatics Education and Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140967441","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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