The primary objective of this research is to develop an accurate and efficient model to predict various diseases by analyzing patients' symptoms, thereby enabling early detection, intervention, and personalized treatment plans. Our proposed system employs advanced feature extraction techniques and state-of-the-art Deep Learning (DL) algorithms to analyze and classify symptom patterns, ultimately predicting the most likely diseases associated with the given symptoms. We utilized a comprehensive dataset containing symptom data for numerous diseases, and our system was trained using DL techniques. The performance of the proposed model was evaluated through multiple performance parameters, including accuracy, sensitivity, and specificity. Our experimental results demonstrate the effectiveness and potential of the proposed system in predicting multiple diseases based on symptoms with high accuracy. This study highlights the potential of DL in revolutionizing the field of medical diagnosis and personalized medicine, ultimately improving patient outcomes and healthcare efficiency. The integration of DL with healthcare can bring about a revolution in personalized medicine, and the accurate prediction of diseases can enable early intervention and improve patient outcomes. The article highlights the potential of DL methods in disease prediction and emphasizes the need for further research to overcome the current limitations and challenges. Overall, the article serves as a guide for researchers and healthcare professionals in understanding the role of DL in disease prediction and its implications for the future of healthcare.
{"title":"Multi-Disease Prediction based on Symptoms using DL","authors":"Aastha Gour","doi":"10.17762/itii.v7i2.801","DOIUrl":"https://doi.org/10.17762/itii.v7i2.801","url":null,"abstract":"The primary objective of this research is to develop an accurate and efficient model to predict various diseases by analyzing patients' symptoms, thereby enabling early detection, intervention, and personalized treatment plans. Our proposed system employs advanced feature extraction techniques and state-of-the-art Deep Learning (DL) algorithms to analyze and classify symptom patterns, ultimately predicting the most likely diseases associated with the given symptoms. We utilized a comprehensive dataset containing symptom data for numerous diseases, and our system was trained using DL techniques. The performance of the proposed model was evaluated through multiple performance parameters, including accuracy, sensitivity, and specificity. Our experimental results demonstrate the effectiveness and potential of the proposed system in predicting multiple diseases based on symptoms with high accuracy. This study highlights the potential of DL in revolutionizing the field of medical diagnosis and personalized medicine, ultimately improving patient outcomes and healthcare efficiency. The integration of DL with healthcare can bring about a revolution in personalized medicine, and the accurate prediction of diseases can enable early intervention and improve patient outcomes. The article highlights the potential of DL methods in disease prediction and emphasizes the need for further research to overcome the current limitations and challenges. Overall, the article serves as a guide for researchers and healthcare professionals in understanding the role of DL in disease prediction and its implications for the future of healthcare.","PeriodicalId":40759,"journal":{"name":"Information Technology in Industry","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86610477","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 works of Robert Louis Stevenson depict his intense fascination in exploring scientific matters in his literary arena marking his keen interest in areas of psychology, anthropology and aspects of evolutionary theory. In works, such as “Treasure Island” and “Strange Case of Dr. Jekyll and Mr. Hyde”, Stevenson uses theories on psychology to interpret and present his characters, there by portraying intersection of science and literature. The life of Stevenson evidently shows the author’s attempts to learn significance of science in explaining and comprehending the mysteries of universe. It is this same interest that influences Stevenson in using his understanding of science to frame the psyche of his own characters. The literary style of imparting scientific knowledge to illustrate one’s characters and draw the narratives eventually opens a new scope of literary technique that develops intersection of science and fiction. The study and analysis of Robert Louis Stevenson’s works help contribute to the debates and discussions on interweaving of fiction and science by opening up various narrative styles and techniques of writing.
{"title":"The Intersection of Science and Literature in the works of Robert Louis Stevenson","authors":"A. P. Singh","doi":"10.17762/itii.v7i2.804","DOIUrl":"https://doi.org/10.17762/itii.v7i2.804","url":null,"abstract":"The works of Robert Louis Stevenson depict his intense fascination in exploring scientific matters in his literary arena marking his keen interest in areas of psychology, anthropology and aspects of evolutionary theory. In works, such as “Treasure Island” and “Strange Case of Dr. Jekyll and Mr. Hyde”, Stevenson uses theories on psychology to interpret and present his characters, there by portraying intersection of science and literature. The life of Stevenson evidently shows the author’s attempts to learn significance of science in explaining and comprehending the mysteries of universe. It is this same interest that influences Stevenson in using his understanding of science to frame the psyche of his own characters. The literary style of imparting scientific knowledge to illustrate one’s characters and draw the narratives eventually opens a new scope of literary technique that develops intersection of science and fiction. The study and analysis of Robert Louis Stevenson’s works help contribute to the debates and discussions on interweaving of fiction and science by opening up various narrative styles and techniques of writing.","PeriodicalId":40759,"journal":{"name":"Information Technology in Industry","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83352639","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}
In recent years, social media platforms have experienced a surge in popularity, leading to an increase in spam and spammer communities. This paper presents a comprehensive study on spam detection and spammer community detection in social media platforms using machine learning techniques. The proposed approach focuses on three main features: Review-Behavioral (RB) Based features, Review-Linguistic (RL) Based Features, and User-Behavioral (UB) Based Features. By combining these features, we aim to create a robust and accurate spam detection model that effectively identifies spam content and spammer communities in social media networks. The Review-Behavioral (RB) Based features focus on the patterns and tendencies observed in user-generated content, such as the frequency of posting, the time between posts, and the distribution of ratings. Review-Linguistic (RL) Based Features, on the other hand, analyze the linguistic characteristics of the content, including the use of specific keywords, the complexity of the text, and sentiment analysis. Lastly, User-Behavioral (UB) Based Features examine the behavior of users in the social media platform, including their social connections, interactions, and activity patterns. By incorporating these features into a machine learning model, we aim to develop an effective spam detection and spammer community detection system that can be used to protect social media platforms from malicious activities. The results of this study will provide valuable insights into the effectiveness of these features in identifying spam and spammer communities, as well as contribute to the ongoing efforts to improve the security and integrity of social media networks.
{"title":"Spam Detection and Spammer Community Detection in Social Media Platform Using Machine Learning Techniques","authors":"L. Gopal","doi":"10.17762/itii.v7i2.802","DOIUrl":"https://doi.org/10.17762/itii.v7i2.802","url":null,"abstract":"In recent years, social media platforms have experienced a surge in popularity, leading to an increase in spam and spammer communities. This paper presents a comprehensive study on spam detection and spammer community detection in social media platforms using machine learning techniques. The proposed approach focuses on three main features: Review-Behavioral (RB) Based features, Review-Linguistic (RL) Based Features, and User-Behavioral (UB) Based Features. By combining these features, we aim to create a robust and accurate spam detection model that effectively identifies spam content and spammer communities in social media networks. The Review-Behavioral (RB) Based features focus on the patterns and tendencies observed in user-generated content, such as the frequency of posting, the time between posts, and the distribution of ratings. Review-Linguistic (RL) Based Features, on the other hand, analyze the linguistic characteristics of the content, including the use of specific keywords, the complexity of the text, and sentiment analysis. Lastly, User-Behavioral (UB) Based Features examine the behavior of users in the social media platform, including their social connections, interactions, and activity patterns. By incorporating these features into a machine learning model, we aim to develop an effective spam detection and spammer community detection system that can be used to protect social media platforms from malicious activities. The results of this study will provide valuable insights into the effectiveness of these features in identifying spam and spammer communities, as well as contribute to the ongoing efforts to improve the security and integrity of social media networks.","PeriodicalId":40759,"journal":{"name":"Information Technology in Industry","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80293806","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 foundation of the Indian economy is family-owned companies, which contribute significantly to the GDP of the nation. These companies do, however, confront several difficulties that can prevent them from expanding and remaining viable. The most important difficulty is succession planning. Families in India generally run their enterprises from generation to generation. Finding the ideal successor, however, can be challenging because it calls for juggling family relationships and commercial savvy. Professionalism is an additional difficulty. Changing from a conventional, hierarchical management structure to a more professional, merit-based strategy is a challenge for many family-owned firms in India.As a result, there can be inefficiencies, a lack of creativity, and challenges in attracting and keeping talent. Another issue faced by family-owned enterprises in India is access to funding. Most of these enterprises rely on internal capital or bank loans, which might be scarce and limit expansion possibilities. Overall, family-owned firms in India have difficulties that call for meticulous preparation, strategic thought, and a readiness to adjust to shifting market conditions over the long term to remain competitive and viable.
{"title":"Challenges of Family-Owned Business in India: A Survey Based Analysis of Family Business Owners","authors":"Anjali Malik","doi":"10.17762/itii.v6i3.817","DOIUrl":"https://doi.org/10.17762/itii.v6i3.817","url":null,"abstract":"The foundation of the Indian economy is family-owned companies, which contribute significantly to the GDP of the nation. These companies do, however, confront several difficulties that can prevent them from expanding and remaining viable. The most important difficulty is succession planning. Families in India generally run their enterprises from generation to generation. Finding the ideal successor, however, can be challenging because it calls for juggling family relationships and commercial savvy. Professionalism is an additional difficulty. Changing from a conventional, hierarchical management structure to a more professional, merit-based strategy is a challenge for many family-owned firms in India.As a result, there can be inefficiencies, a lack of creativity, and challenges in attracting and keeping talent. Another issue faced by family-owned enterprises in India is access to funding. Most of these enterprises rely on internal capital or bank loans, which might be scarce and limit expansion possibilities. Overall, family-owned firms in India have difficulties that call for meticulous preparation, strategic thought, and a readiness to adjust to shifting market conditions over the long term to remain competitive and viable.","PeriodicalId":40759,"journal":{"name":"Information Technology in Industry","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81892227","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}
A performance management tool known as the Balanced Scorecard (BSC) has the potential to significantly increase India's businesses' efficiency and decision-making. The BSC provides an extensive view of an organization's success by analysing key performance indicators from four separate perspectives: financial, customer, internal processes, and learning and growth.The BSC enables companies in India to more effectively integrate their long-term objectives and strategies into their daily operations. Information on profitability is provided from the financial perspective, while customer happiness and loyalty are gauged from that perspective.The internal processes perspective emphasises the effectiveness of internal procedures, while the learning and growth perspective identifies opportunities for employee advancement.Businesses can better identify their strengths and weaknesses and make changes that will increase overall effectiveness by monitoring performance from all four viewpoints. Organizations can spot opportunities for improvement and take proactive measures to improve their overall performance by monitoring key performance indicators from a variety of angles.
{"title":"Role of Balance Scorecard in Improving Business Decision Making and Effectiveness: An Analytical Study","authors":"Omdeep Gupya","doi":"10.17762/itii.v6i3.818","DOIUrl":"https://doi.org/10.17762/itii.v6i3.818","url":null,"abstract":"A performance management tool known as the Balanced Scorecard (BSC) has the potential to significantly increase India's businesses' efficiency and decision-making. The BSC provides an extensive view of an organization's success by analysing key performance indicators from four separate perspectives: financial, customer, internal processes, and learning and growth.The BSC enables companies in India to more effectively integrate their long-term objectives and strategies into their daily operations. Information on profitability is provided from the financial perspective, while customer happiness and loyalty are gauged from that perspective.The internal processes perspective emphasises the effectiveness of internal procedures, while the learning and growth perspective identifies opportunities for employee advancement.Businesses can better identify their strengths and weaknesses and make changes that will increase overall effectiveness by monitoring performance from all four viewpoints. Organizations can spot opportunities for improvement and take proactive measures to improve their overall performance by monitoring key performance indicators from a variety of angles.","PeriodicalId":40759,"journal":{"name":"Information Technology in Industry","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84908214","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}
Modern technology has made cars less of a status symbol and more of a necessity. One of the industries in our country that is growing the fastest is the auto business. It has become a staple of our daily lives, which is why automobile manufacturers are focusing more on the common male market. The option to purchase an automobile is not a personal one. The marketing environment today has changed from product-based to need-based, giving consumers a wide range of options from which to choose. This study concludes that consumer purchasing behavior plays a vital part in providing marketers with 4 wheels, and there is a wealth of opportunity for more research in this area. Each person has distinctive tastes, interests, perceptions, beliefs, and considerations. In the current state of the automobile industry, there are several options available in every segment, making it risky and challenging work to understand human behavior. Companies must comprehend the precise needs of the client to gain market share. The basic data used in this study was gathered through the distribution of a structured questionnaire. With the aid of several characteristics, an effort is made to research buyer behavior for small-segment vehicles, and data is interpreted under that understanding.
{"title":"Consumer Buying Behaviour And Brand Choice in Small Car Segment: A Quantitative Investigation","authors":"Sweta Chauhan","doi":"10.17762/itii.v6i3.822","DOIUrl":"https://doi.org/10.17762/itii.v6i3.822","url":null,"abstract":"Modern technology has made cars less of a status symbol and more of a necessity. One of the industries in our country that is growing the fastest is the auto business. It has become a staple of our daily lives, which is why automobile manufacturers are focusing more on the common male market. The option to purchase an automobile is not a personal one. The marketing environment today has changed from product-based to need-based, giving consumers a wide range of options from which to choose. This study concludes that consumer purchasing behavior plays a vital part in providing marketers with 4 wheels, and there is a wealth of opportunity for more research in this area. Each person has distinctive tastes, interests, perceptions, beliefs, and considerations. In the current state of the automobile industry, there are several options available in every segment, making it risky and challenging work to understand human behavior. Companies must comprehend the precise needs of the client to gain market share. The basic data used in this study was gathered through the distribution of a structured questionnaire. With the aid of several characteristics, an effort is made to research buyer behavior for small-segment vehicles, and data is interpreted under that understanding.","PeriodicalId":40759,"journal":{"name":"Information Technology in Industry","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78821692","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}
New venture success in India is greatly influenced by government policy. The Indian government has put into effect a number of laws and measures to encourage entrepreneurship and foster an atmosphere that is favorable for startups. The development of new businesses in the nation has been significantly influenced by the policies the government has put in place.The Startup India project, which was introduced in 2016, is one of the important regulations that the government has put in place. Through tax breaks, financial opportunities, and streamlined compliance procedures, this effort strives to help and encourage businesses throughout the nation. To encourage entrepreneurship among women and marginalized communities, the government has also developed a number of plans and programmes, such as the Stand-Up India scheme.In addition to helping the overall expansion of new enterprises in the nation, the project has given these groups financial support to launch their businesses.The government has also loosened FDI regulations, streamlined the business registration process, and implemented bankruptcy rules to make it simpler for new businesses to operate in the nation. The development of a supportive environment for entrepreneurs in India has been greatly aided by these regulations.
{"title":"Role of Government Policies on Success of New Ventures: An Empirical Study","authors":"A. Saini","doi":"10.17762/itii.v6i3.819","DOIUrl":"https://doi.org/10.17762/itii.v6i3.819","url":null,"abstract":"New venture success in India is greatly influenced by government policy. The Indian government has put into effect a number of laws and measures to encourage entrepreneurship and foster an atmosphere that is favorable for startups. The development of new businesses in the nation has been significantly influenced by the policies the government has put in place.The Startup India project, which was introduced in 2016, is one of the important regulations that the government has put in place. Through tax breaks, financial opportunities, and streamlined compliance procedures, this effort strives to help and encourage businesses throughout the nation. To encourage entrepreneurship among women and marginalized communities, the government has also developed a number of plans and programmes, such as the Stand-Up India scheme.In addition to helping the overall expansion of new enterprises in the nation, the project has given these groups financial support to launch their businesses.The government has also loosened FDI regulations, streamlined the business registration process, and implemented bankruptcy rules to make it simpler for new businesses to operate in the nation. The development of a supportive environment for entrepreneurs in India has been greatly aided by these regulations.","PeriodicalId":40759,"journal":{"name":"Information Technology in Industry","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86613208","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 Internet of Things (IoT) is a network of interconnected hardware, sensors, and software programs that gather and share data collected. IoT devices can be installed in manufacturing facilities, warehouses, distribution centers, transportation equipment, and retail establishments, as well as throughout the entire ecosystem. The supply chain's numerous elements, such as inventory levels, product conditions, equipment performance, and transportation routes, may be tracked, monitored, and analyzed with the ease of these IoT devices. Supply chain managers can achieve a level of visibility and management over the operations never before possible by utilizing IoT capabilities. Real-time data gathering and analysis support proactive decision-making, enabling quicker reaction times to anticipated interruptions, inventory level optimization, and enhanced demand forecasting precision. IoT-enabled supply chain management also improves traceability and transparency, giving businesses the capacity to comply with regulations, reduce risks, and guarantee the quality and safety of the products. Additionally, IoT-driven supply chain management encourages coordination and integration among a range of stakeholders, including suppliers, manufacturers, logistics service providers, and clients. Enhanced coordination, shorter lead times, and better customer service are all made possible by the supply chain's smooth data and information flow. IoT devices can help automate repetitive processes so that staff members can concentrate on more value-added activities.
{"title":"“Role of Internet of Things (Iot) in Supply Chain Management Effectiveness: An Empirical Study”","authors":"Sargam Bahl","doi":"10.17762/itii.v6i3.824","DOIUrl":"https://doi.org/10.17762/itii.v6i3.824","url":null,"abstract":"The Internet of Things (IoT) is a network of interconnected hardware, sensors, and software programs that gather and share data collected. IoT devices can be installed in manufacturing facilities, warehouses, distribution centers, transportation equipment, and retail establishments, as well as throughout the entire ecosystem. The supply chain's numerous elements, such as inventory levels, product conditions, equipment performance, and transportation routes, may be tracked, monitored, and analyzed with the ease of these IoT devices. Supply chain managers can achieve a level of visibility and management over the operations never before possible by utilizing IoT capabilities. Real-time data gathering and analysis support proactive decision-making, enabling quicker reaction times to anticipated interruptions, inventory level optimization, and enhanced demand forecasting precision. IoT-enabled supply chain management also improves traceability and transparency, giving businesses the capacity to comply with regulations, reduce risks, and guarantee the quality and safety of the products. Additionally, IoT-driven supply chain management encourages coordination and integration among a range of stakeholders, including suppliers, manufacturers, logistics service providers, and clients. Enhanced coordination, shorter lead times, and better customer service are all made possible by the supply chain's smooth data and information flow. IoT devices can help automate repetitive processes so that staff members can concentrate on more value-added activities.","PeriodicalId":40759,"journal":{"name":"Information Technology in Industry","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85415692","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 main success elements for retirement planning and saving behaviour in India are essential for guaranteeing financial security in the post-work years. It's critical to have a clear grasp of the significance of retirement savings. People can be inspired to take action by being informed about the long-term advantages of saving and the possible repercussions of poor planning. The importance of financial literacy cannot be overstated. By making readily available information and tools on several retirement savings choices, including pensions, mutual funds, and provident funds, people are better equipped to make educated decisions and select the best investment vehicles. Consistent saving practices are essential. Developing a routine of consistent saving, no matter the amount, might eventually result in sizable retirement funds. Employer-sponsored retirement plans or systematic investment programmes can encourage people to automate their savings, which can reinforce this practice. Planning for retirement can be considerably improved by enabling laws and incentives.
{"title":"Key Success Factors of Saving Behaviour and Retirement Planning: A Cross-Sectional Study","authors":"Divya Punj","doi":"10.17762/itii.v6i3.825","DOIUrl":"https://doi.org/10.17762/itii.v6i3.825","url":null,"abstract":"The main success elements for retirement planning and saving behaviour in India are essential for guaranteeing financial security in the post-work years. It's critical to have a clear grasp of the significance of retirement savings. People can be inspired to take action by being informed about the long-term advantages of saving and the possible repercussions of poor planning. The importance of financial literacy cannot be overstated. By making readily available information and tools on several retirement savings choices, including pensions, mutual funds, and provident funds, people are better equipped to make educated decisions and select the best investment vehicles. Consistent saving practices are essential. Developing a routine of consistent saving, no matter the amount, might eventually result in sizable retirement funds. Employer-sponsored retirement plans or systematic investment programmes can encourage people to automate their savings, which can reinforce this practice. Planning for retirement can be considerably improved by enabling laws and incentives.","PeriodicalId":40759,"journal":{"name":"Information Technology in Industry","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78353889","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}
For many years, organizations looking to grow, capture more market share or improve their competitive advantages looks to mergers and acquisitions (M&A) as strategic tools. Pre-deal analysis and due diligence stand out as essential components of an effective M&A strategy. It is possible to spot potential risks and value drivers by thoroughly analyzing financial statements, operational synergies, cultural fit, and market dynamics. Inadequate due diligence might result in unforeseen difficulties, such as hidden liabilities or clashing cultures, which impede post-merger integration. Planning for integration and effective communication is equally important. Clear communication strategies manage stakeholder expectations both internally and externally while promoting transparency. Furthermore, establishing synergies and reducing disruptions requires thorough integration planning that takes organizational structure, systems, processes, and human resources into account. Third, leadership and cultural compatibility have a big impact on post-M&A integration. Strong leadership and a common vision facilitate the alignment of strategic goals and employee motivation. If not properly resolved, cultural differences between merging businesses might obstruct integration attempts and reduce the intended benefits.
{"title":"Factors Affecting Effective Mergers and Acquisition: An Empirical Investigation","authors":"Ashish Anans Tripathi","doi":"10.17762/itii.v6i3.823","DOIUrl":"https://doi.org/10.17762/itii.v6i3.823","url":null,"abstract":"For many years, organizations looking to grow, capture more market share or improve their competitive advantages looks to mergers and acquisitions (M&A) as strategic tools. Pre-deal analysis and due diligence stand out as essential components of an effective M&A strategy. It is possible to spot potential risks and value drivers by thoroughly analyzing financial statements, operational synergies, cultural fit, and market dynamics. Inadequate due diligence might result in unforeseen difficulties, such as hidden liabilities or clashing cultures, which impede post-merger integration. Planning for integration and effective communication is equally important. Clear communication strategies manage stakeholder expectations both internally and externally while promoting transparency. Furthermore, establishing synergies and reducing disruptions requires thorough integration planning that takes organizational structure, systems, processes, and human resources into account. Third, leadership and cultural compatibility have a big impact on post-M&A integration. Strong leadership and a common vision facilitate the alignment of strategic goals and employee motivation. If not properly resolved, cultural differences between merging businesses might obstruct integration attempts and reduce the intended benefits.","PeriodicalId":40759,"journal":{"name":"Information Technology in Industry","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89763910","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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