Journal of High Technology Management Research最新文献

{"title":"Big data for the comprehensive data analysis of IT organizations","authors":"Sujatha Madugula,&nbsp;Sreenivas Pratapagiri,&nbsp;M.S.B. Phridviraj,&nbsp;V. Chandra Shekhar Rao,&nbsp;Niranjan Polala,&nbsp;P. Kumaraswamy","doi":"10.1016/j.hitech.2023.100465","DOIUrl":"https://doi.org/10.1016/j.hitech.2023.100465","url":null,"abstract":"<div><p>Businesses have begun using IT apps for a variety of reasons in recent years. The rapid advancement of new technologies has opened up vast prospects for businesses to digitise their operations, enhance their use of information systems, and compete more effectively in the global marketplace. Information technology (IT) businesses can benefit greatly from Big Data analytics due to the depth and breadth of their data analysis. Big data can be used to examine IT departments in the following ways: performance analysis, forecast maintenance, security analysis, and resource analysis. When it comes to boosting their business's dependability, speed, quality, and effectiveness, most companies rely on big data. Companies can gain a competitive edge thanks to the massive amounts of data that big data is able to collect, store, and manage. Big data analytics is being used by a growing number of businesses to make sense of their mountain of data. In this paper, we examine the ways in which IBM, TCS, and Cognizant use big data within their operations. Long-term planning strategies and business intelligence practises are also suggested in this research as means of protecting personal information.</p></div>","PeriodicalId":38944,"journal":{"name":"Journal of High Technology Management Research","volume":"34 2","pages":"Article 100465"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50181914","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}

{"title":"A qualitative study on the urgency of attitude in designing effective procurement certification training","authors":"Nurus Sa'adah ,&nbsp;Lawrence Arokiasamy","doi":"10.1016/j.hitech.2023.100472","DOIUrl":"https://doi.org/10.1016/j.hitech.2023.100472","url":null,"abstract":"<div><p>This analysis takes a psychological perspective on human resource management to determine what percentage of the three dimensions of competence (knowledge, skill, and attitude) should be included in certification training materials for procurement. To gather information, we used both online and offline Focus Group Discussion (FGD) sessions in addition to interviews and direct observation. Ten entry-level trainees participated in the offline FGD, while seven procurement officials monitored the online FGD. The certification candidates, training instructors, functional staff, and training organizers all participated in the interview. The training facility for the procurement certification is under observation. The findings demonstrated the importance of the mindset, since the psychological consideration of attitudes while performing the duties of a procurement officer had been left out of the procurement certification training materials.</p></div>","PeriodicalId":38944,"journal":{"name":"Journal of High Technology Management Research","volume":"34 2","pages":"Article 100472"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50181917","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}

{"title":"Competitive moves in new high-tech firms: The role of board heterogeneity and family ties","authors":"Ekaterina S. Bjornali ,&nbsp;Truls Erikson ,&nbsp;Chris Coleridge","doi":"10.1016/j.hitech.2023.100482","DOIUrl":"https://doi.org/10.1016/j.hitech.2023.100482","url":null,"abstract":"<div><p>Drawing on the entrepreneurial theory of the firm with dispersed knowledge, together with fundamental uncertainty, we examine what we label as heterogenous expectations through board members' imaginative faculties. Specifically, we unpack how outside board members construct heterogeneity, and how heterogenous expectations affect the level of competitive moves in new high-tech firms. We hypothesize and find that family funding <em>positively moderates</em> the relationship between board heterogeneity and competitive moves, although family sponsorship in the form of funding has a <em>direct negative</em> effect. Implications for the entrepreneurial theory of the firm and its relevance to practice are discussed.</p></div>","PeriodicalId":38944,"journal":{"name":"Journal of High Technology Management Research","volume":"34 2","pages":"Article 100482"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50181868","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}

{"title":"Exploring human resource management intelligence practices using machine learning models","authors":"Sai Rama Krishna Indarapu ,&nbsp;Swathy Vodithala ,&nbsp;Naveen Kumar ,&nbsp;Siripuri Kiran ,&nbsp;Soora Narasimha Reddy ,&nbsp;Kumar Dorthi","doi":"10.1016/j.hitech.2023.100466","DOIUrl":"https://doi.org/10.1016/j.hitech.2023.100466","url":null,"abstract":"<div><p>The use of machine learning for recruitment has become one of the main themes in human resources ever since machine learning software investigated the first recruitment software and discovered that utilizing technology improves their effectiveness at work, speed, and makes the process simpler. In order to better handle employee files, profiles, turnover, data analytics, and the creation of electronic personal data sheets for government service records, a human resource information system that incorporates machine learning has been created. Using a supervised machine learning technique, it was designed to foresee staff turnover. From a theoretical perspective, machine learning apps may be able to perform the same tasks as HR specialists, if not better or faster. Supporting HR professionals in becoming a true business partner and providing them with accurate and reliable advice, the interaction between HR professionals and line top management believes that the HR professionals still has surplus over machine learning, alone. Human resources methods and the significance of machine learning are the primary focus of this paper. This paper's three goals are to (1) determine how much of an impact Machine learning can have on the organization's recruitment procedures, (2) examine the extent to which this technology has been adopted, and (3) examine the frequency with which complaints have been lodged during these crucial exercises.</p></div>","PeriodicalId":38944,"journal":{"name":"Journal of High Technology Management Research","volume":"34 2","pages":"Article 100466"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50181915","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}

{"title":"Adopting internet of things for manufacturing firms business model development","authors":"Paparao Nalajala ,&nbsp;Kalpana Gudikandhula ,&nbsp;K. Shailaja ,&nbsp;Arun Tigadi ,&nbsp;Subha Mastan Rao ,&nbsp;D.S. Vijayan","doi":"10.1016/j.hitech.2023.100456","DOIUrl":"https://doi.org/10.1016/j.hitech.2023.100456","url":null,"abstract":"<div><p>The Internet of Things (IoT) has sparked a revolution in the manufacturing sector, providing numerous advantages to companies that adopt it. Using IoT, factories can boost productivity, cut expenses, and develop a more sustainable business model. The rise of digital networking and real-time communication are compelling manufacturers to adopt cutting-edge technologies in order to compete in today's fast-paced, international marketplace. The Internet of Things (IoT) to facilitate the virtualization of manufacturing processes and the gathering of real-time data to guarantee seamless supply chain operations. There has been abductive qualitative research done. Case studies of the heavy-duty vehicle sector provided empirical data, while a review of the relevant literature provided the theoretical underpinnings. Information system issues and people and structure issues were cited as barriers to analytics adoption. In this study works on challenges and security of manufacturing. Finally, suitable themes for analysis have been derived using a thematic analysis. The results show that manufacturing firms can benefit from analytics solutions for production activities even if they are not highly automated or complicated. The Internet of Things (IoT) offers numerous opportunities for growth in the business models of manufacturing companies. Businesses can boost efficiency, cut expenses, and develop a more robust business model by implementing IoT. Successfully integrating IoT, however, calls for meticulous preparation and execution.</p></div>","PeriodicalId":38944,"journal":{"name":"Journal of High Technology Management Research","volume":"34 2","pages":"Article 100456"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50181956","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}

{"title":"Artificial intelligence in steering the digital transformation of collaborative technical education","authors":"A. Jaya Lakshmi ,&nbsp;Ashok Kumar ,&nbsp;M. Sunil Kumar ,&nbsp;Syed Imran Patel ,&nbsp;S.K. Lokesh Naik ,&nbsp;J.V.N. Ramesh","doi":"10.1016/j.hitech.2023.100467","DOIUrl":"https://doi.org/10.1016/j.hitech.2023.100467","url":null,"abstract":"<div><p>In recent years, the United Arab Emirates (UAE) has been a leader in the global adoption of AI and online schooling. Despite using the traditional educational structure, military colleges have embraced this new technology. This research analyzed the present adoption rate, difficulties, and solutions for implementing an AI-based online education system. The results demonstrate that digital technology has a tangible impact on all facets of higher education if it is supported by the institution. The results also indicate that the organization plays a crucial role in the integration of digital technology into teaching and learning, and that an examination of the materiality already present in the Collaborative Technical Education (CTE) organization is necessary for comprehending the potential effects of new digital technology. Finally, this paper addressed how AI can make e-learning more interesting, efficient, and tailored to each individual learner, all of which contribute to better learning outcomes and wider access to technical education. The details of how artificial intelligence can be used to promote diversity and equity in the classroom are laid out. To motivate educators to create mixed-reality artifacts and conduct further research to support collaborative educational environments, this article discusses current works and visualizes the current state of the field.</p></div>","PeriodicalId":38944,"journal":{"name":"Journal of High Technology Management Research","volume":"34 2","pages":"Article 100467"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50181920","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}

{"title":"Blockchain integration with the internet of things for the employee performance management","authors":"Bhavana Godavarthi ,&nbsp;Murali Dhar ,&nbsp;S. Anjali Devi ,&nbsp;S. Srinivasulu Raju ,&nbsp;Allam Balaram ,&nbsp;G. Srilakshmi","doi":"10.1016/j.hitech.2023.100468","DOIUrl":"https://doi.org/10.1016/j.hitech.2023.100468","url":null,"abstract":"<div><p>As time went on, technological progress inevitably altered our daily routines. Many new technologies, such as the Internet of Things (IoT) and cryptocurrency, offer revolutionary possibilities. To put it simply, the blockchain is a distributed, public, and auditable database that can be used to record financial transactions. The IoT, or “Internet of Things,” is a system of interconnected electronic devices that can communicate with one another and be remotely monitored and handled. This paper reviews the most recent findings in the field of blockchain and Internet of Things with the goal of examining blockchain as a possible answer to secure IoT data management within supply networks. There is a dearth of literature in the early stages of both blockchain and IoT study because they are such novel topics. The study's findings suggest that in order to improve their leadership quality to intentionally impact employee performance, industry managers should pay attention to human resource management indicators like collaboration, involvement, actualization, perception, and teamwork. This is primarily because of the inherent limitations of IoT devices and the distributed ledger architecture of the blockchain technology. There is potential for IoT to provide many advantages if blockchain capabilities can be optimized for it.</p></div>","PeriodicalId":38944,"journal":{"name":"Journal of High Technology Management Research","volume":"34 2","pages":"Article 100468"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50181921","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}

{"title":"Resource management projects in entrepreneurship and retain customer based on big data analysis and artificial intelligence","authors":"Pham Quang Huy ,&nbsp;Shavkatov Navruzbek Shavkatovich ,&nbsp;Zulkiflee Abdul-Samad ,&nbsp;D.K. Agrawal ,&nbsp;K.M. Ashifa ,&nbsp;Mahendran Arumugam","doi":"10.1016/j.hitech.2023.100471","DOIUrl":"https://doi.org/10.1016/j.hitech.2023.100471","url":null,"abstract":"<div><p>Retaining clients is turning into an estimation center in an industry with expanding rivalry. Because it is difficult to keep customers and easy for them to switch brands, the idea of customer retention has become the subject of research in the sales industry. Traditional human resource management systems are unable to manage and analyze data because of the rapid growth of enterprise-generated data's processing capacity. This exploration proposes novel strategy in human asset the executives for little new company business with their client hold utilizing Artificial intelligence (AI) procedures. Behavioral pattern analysis based on reinforcement radial fuzzy decision with quadratic kernel vector machine is utilized here for human resource management and customer relationship retention. In terms of prediction accuracy, area under the curve (AUC), average precision, sensitivity, and quadratic normalized square error, various human resource datasets based on entrepreneurship are the subjects of the experimental analysis. The proposed technique attained prediction accuracy of 98%, AUC of 89%, average precision of 83%, sensitivity of 66%, quadratic normalized square error of 59%.</p></div>","PeriodicalId":38944,"journal":{"name":"Journal of High Technology Management Research","volume":"34 2","pages":"Article 100471"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50181854","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}

{"title":"A research to determine the effect of entrepreneurship attitude and education on entrepreneurial intention","authors":"Ercan Ince ,&nbsp;Anıl Kale ,&nbsp;Abdullah Akmaz ,&nbsp;Resul Çelik","doi":"10.1016/j.hitech.2023.100475","DOIUrl":"https://doi.org/10.1016/j.hitech.2023.100475","url":null,"abstract":"<div><p>In this study, the effects of perceived suitability, perceived consistency and perceived effectiveness on entrepreneurship intention were investigated. In addition, the effect of entrepreneurship education on entrepreneurship intention was investigated. For this purpose, data were collected from 377 students studying in the field of tourism. Data were analyzed with structural equation model. As a result of the study, it was found that perceived consistency and perceived effectiveness significantly affect entrepreneurship intention. However, perceived suitability, perceived consistency and entrepreneurial intent have been shown to differ significantly between students who previously have worked in a workplace and those who have not. The fact that the attitude of entrepreneurship and education has an impact on the education of entrepreneurs needed by the tourism sector makes this research different. As a result of the analysis, it was found that perceived suitability, perceived consistency and entrepreneurial intention differ significantly between those who have worked before and those who have not.</p></div>","PeriodicalId":38944,"journal":{"name":"Journal of High Technology Management Research","volume":"34 2","pages":"Article 100475"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50181852","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}

{"title":"Implementation and management of cloud security for industry 4.O - data using hybrid elliptical curve cryptography","authors":"N. Krishnamoorthy ,&nbsp;S. Umarani","doi":"10.1016/j.hitech.2023.100474","DOIUrl":"https://doi.org/10.1016/j.hitech.2023.100474","url":null,"abstract":"<div><p>Industry 4.0 places a premium on cloud security since more and more companies are moving their activities to the cloud to reap the benefits of the Fourth Industrial Revolution.The term “cloud computing” refers to a collection of Internet-based hardware and software tools. Providers of cloud services use data centers situated in various physical locations. Cloud computing makes life easier for users by making remote, simulated resources available over the internet. Google Apps and Microsoft SharePoint are two examples of popular cloud applications. In addition to its exciting potential, the “cloud computing” industry's lightning-fast expansion raises serious security concerns. When discussing security, cloud really suffers from Open Systems' and the internet's perennial problem. The only thing stopping the widespread use of cloud computing is the lack of trust in the system. There are a number of security concerns with cloud computing, including protecting user data and vetting cloud service providers' practices. Using encryption, confidential information can be sent over an unsecured channel without fear of data loss or manipulation. Data encryption using various protocols has been used in various settings. Different cryptosystems were developed and used at various times. Additionally, cloud computing enables multiple users to access and retrieve data simultaneously through their own personal Internet connections, which increases the risk of confidential data loss and exposure in a number of different places. Elliptic Curve Cryptography and other cryptographic algorithms have been used to develop numerous methods and protocols that guarantee the security and privacy of transmitted data. In this paper, we suggest a safe and efficient method for sharing information in the cloud without compromising its safety or integrity. The proposed system is able to guarantee authentication and data integrity because it uses a hybrid of the ECC and the Advanced Encryption Standard (AES) technique. The experimental results confirm the proposed approach outperforms the current gold standard.</p></div>","PeriodicalId":38944,"journal":{"name":"Journal of High Technology Management Research","volume":"34 2","pages":"Article 100474"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50181916","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}