International Journal of Intelligent Enterprise (7 papers in press)

Regular Issues

• Mixed method analysis on teacher readiness regarding technology  
  by S. Shruthi, B.R. Aravind 
  Abstract: Poetry and prose are important components of many literary curriculums, yet many aspiring pre-service language teachers find it difficult to teach these genres. Pre-service language instructors can easily get ready with prose and poetry with the use of technology designed for teaching prose and poetry. There is a gap in English prose and poetry preparatory technology, which needs novel solutions to prepare through technology. The purpose of this study is to find out the possibility that technology is necessary for future language instructors to effectively prepare prose and poetry. This study employs a mixed method, combining qualitative and quantitative research techniques. Ninety-three pre-service teachers from the Virudhunagar district under 1922 years old participated in this study. Prose preparation requires more technology than poetry preparation for pre-service language teachers. A comprehensive analysis of pre-service language instructors preparatory technology, assessment, and lesson planning techniques makes the study important. Designing technology for pre-service teachers to prepare prose and poetry improves English language acquisition. Future research could create and develop prose and poetry instruction technologies to save teachers time and provide them with new ideas to engage students.
  Keywords: mixed method; pre-service teachers; PST; teacher readiness technology; language acquisition; technological needs; student’s proficiency.
  DOI: 10.1504/IJIE.2025.10072298
   
  
• Examining the field of protean career and unfolding future research directions through bibliometric and content analysis  
  by Durga Prasad Nayak, Sharada Prasad Sahoo, Shilpa Jain 
  Abstract: Protean career orientation (PCO) as a career philosophy has gathered scholarly attention in the last three decades, both from industry and academia. This study delves deep into protean career orientations through a knowledge mapping exercise. The study included 288 articles published between 1990 and 2023, obtained from Scopus and the Web of Science database for the review process. A four-stage analysis, i.e., descriptive, bibliometric, network, and content analysis, has been conducted to portray the research trend, intellectual structure, and scholarship pattern. The content analysis revealed four major clusters: conceptual dynamics, underlying dynamics, protean career mechanism, and career outcomes. We have diagnosed major constraints that inhibit the PCO and furnished future research directions. Our findings have immense managerial implications for crafting human resource strategies to identify and manage employees with PCO. This study also helps frame policies on entrepreneurship and promotes achievement motivation among individuals with a protean career focus.
  Keywords: protean career; bibliometric analysis; Web of Science; Scopus; citation analysis; content analysis.
  DOI: 10.1504/IJIE.2025.10072299
   
  
• Machine learning-driven stock prediction: leveraging organisational learning and business intelligence with S&P 500 data  
  by Rishabh Singh, Shruti Mishra, Sandeep Kumar Sathpathy, Sandeep Kumar Sathpathy, Sung-Bae Cho, Sung-Bae Cho, Bijay Kumar Paikaray, Bijay Kumar Paikaray, Girija Nandini, Girija Nandini, Varadarajan Sowmya Damodharan, Varadarajan Sowmya Damodharan 
  Abstract: Stock price prediction is a very crucial area of research in the domain of financial and economic markets, which provides good insight for many investors and traders in this paper, various machine learning techniques are implemented to analyse the S&P 500 index dataset and achieve higher prediction accuracy. We employ combined algorithms are used to find the averages of the predictions and improve overall accuracy. Specifically, the combinations of models are two models that are being implemented, first is the average prediction of all three models and the second model is the combination of random forest and gradient boosting based on the performance of these models, the one with the highest accuracy will be selected for further analysis, which model is giving high accuracy than other models. The chosen model will then be used to predict whether the S&P 500 index will trend upwards or downwards on the following day.
  Keywords: machine learning; stock price; S&P 500; K-nearest neighbours; KNN; gradient boosting; market economy.
  DOI: 10.1504/IJIE.2025.10072334
   
  
• Visualising women entrepreneurship in India: a data study on growth, trends and opportunities  
  by Amar Kumar Mishra, Swati Bisht, Saumya Sharma, Ankur Jauhari, Vipul Jain 
  Abstract: Women entrepreneurship is the practice of women starting and running businesses. In India, women-led businesses make up 14% of all enterprises and employ 30% of the countrys female workforce. They are also expected to create 150-170 million jobs by 2030. Government of India has also emphasised on women entrepreneurships in the seventh and eighth five-year plan. This paper aims to investigate the scholarly literatures on the growth, trend and opportunities on women entrepreneurship. We have used bibliometric in order to analyse the existing literature using 257 papers taken from the Scopus and WoS database published between 1997 and 2023. This research provides valuable insights and strategies tailored to the specific needs and constraints of Indian organisations, contributing to enhanced knowledge sharing and overall performance across industries. To understand the potential benefits and challenges better, further research is essential to explore the Women Entrepreneurship in different sectors.
  Keywords: women; entrepreneur; systematic analysis; RStudio; India.
  DOI: 10.1504/IJIE.2025.10072464
   
  
• Cryptocurrency adoption and acceptance: a literature survey analysis  
  by S. Bharathithasan, K.Sakthi Srinivasan 
  Abstract: Cryptocurriences are the emerging investment tools which are creating an impact in global trade market, which enables the investors and buyers through secured and decentralised transaction method. The crypocurrencies are exchanged at the rate of fiat currencies in the trade markets. Bitcoin is the first cryptocurrency and it revolutionised the parameters of the previous investment and transaction procedures. Its operations are based on a peer-to-peer network and are secured with cryptographic algorithms which further functions with the block chain technology. This paper is a literature review, which refers the emergence, growth and the challenges of bitcoin and how it sustained in the global market. Based on the available literatures the paper has been framed as an overview of cryptocurrencies and bitcoin.
  Keywords: crtptocurrency; bitcoin; cryptography; exchange rate; bitcoin pricing; investment.
  DOI: 10.1504/IJIE.2025.10072732
   
  

Special Issue on: UNIfied-2024 and SoCTA-2024 Cyber Physical Systems and Industrial AI for Enterprise growth

• Communication technology for prepaid smart metering in India: policy and strategic insights  
  by Sandeep Kumar, Parikshit Kishor Singh, Anukram Mishra 
  Abstract: India is currently deploying 250 million smart metres under the Smart Meter National Programme to enhance grid efficiency, reduce energy losses, and empower consumers through real-time data-based value adds. The success of this initiative heavily depends on selecting the right communication technologies that continue to meet the data and operational requirements of advanced metering infrastructure in a future-proof manner, as currently specified in form of SLAs published by the National Smart Grid Mission (NSGM). This paper provides a detailed analysis of the communication needs of smart metres, including data types, volume, frequency, and throughput at different times and worst-case scenarios. It also evaluates the performance of existing and upcoming cellular technologies while addressing their limitations in this application. Recommendations are provided for policymakers to adopt balanced strategies, focusing on immediate deployment solutions but also keeping in perspective the long-term advancements such as increased data throughput and enhanced cyber security needs, to ensure the scalability and sustainability of smart metering infrastructure in the diverse Indian landscape.
  Keywords: smart metering; advanced metering infrastructure; AMI; narrowband IoT; NB-IoT; service level agreements; SLAs; smart metre policies; demand-side management; DSM; retailer and aggregator policy; renewable energy tariffs; RedCap; demand response; India.
  DOI: 10.1504/IJIE.2025.10072691
   
  
• Towards net-zero supply chains: the Industry 4.0 technologys catalysts in emission reduction  
  by Shobha Rathore, Man Mohan Siddh, Rakesh Jain, Subir Verma 
  Abstract: The growing emphasis on achieving net-zero emissions and addressing climate change has driven interest in integrating Industry 4.0 technologies into supply chain operations. As supply chain emissions fall under scope 3 indirect emissions across a companys value chain reducing them to net-zero remains highly challenging. This study systematically reviews recent literature on the application of Industry 4.0 technologies and emission reduction strategies in supply chains to support the transition to net-zero. Using the PRISMA methodology, 65 relevant articles were identified, analysed, and classified based on the potential of 13 essential Industry 4.0 technologies and 13 emission reduction practices. The findings highlight their roles in enabling net-zero supply chains, alongside the associated benefits and challenges at the firm level. Furthermore, the study identifies research gaps and offers directions for future research to explore the complex dynamics of integrating these technologies and practices within supply chain networks for effective emissions mitigation.
  Keywords: Industry 4.0 technologies; supply chain emissions; net-zero supply chain; NZSC; net zero emissions; emissions reduction practices.
  DOI: 10.1504/IJIE.2025.10072764