Forthcoming Articles

International Journal of Intelligent Enterprise

International Journal of Intelligent Enterprise (IJIE)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Intelligent Enterprise (9 papers in press)

Regular Issues

  • A study on customer buying behaviour based on brand equity and satisfaction towards organised retail stores   Order a copy of this article
    by K. Suregka Felix, M. Hema Nalini, Muthukrishnan Nagarajan 
    Abstract: The findings elucidate that brand equity is significantly differing amidst profile of customers in organised retail outlets. Brand awareness, brand association, perceived quality and brand loyalty have significant and positive influence on buying behaviour of customers in organised retail stores. Brand equity, buying behaviour and satisfaction of customers in organised retail stores are positively and significantly interrelated with each other. Organised retail stores should adopt efficient advertisement and sales promotional strategies for improving awareness and association of brands among customers. In addition, organised retail stores should take necessary efforts to improve perceived quality and brand loyalty of customers and they must create better image about brands among customers that makes them to distinguish brands along with superiority of a brand over other competitive brands of organised retail stores and make them loyal towards them and these improve further buying behaviour and satisfaction of customers in organised retail stores.
    Keywords: brand equity; buying behaviour; customer; satisfaction; Tamil Nadu.
    DOI: 10.1504/IJIE.2025.10072813
     
  • A survey of impact of financial inclusion for various sectors in different countries   Order a copy of this article
    by V. Sandhya Rani, N. Sundaram, P. Prasad Babu 
    Abstract: Financial inclusion (FI) refers to the equal access to financial services, such as loans, equity, banking, and insurance. It is closely linked to economic development and growth, as FI plays a crucial role in fostering a strong financial system that boosts economic growth. However, more research is needed to understand the magnitude and channels of FIs impact and identify FS with a stronger payoff without compromising financial stability. This study reviews various case studies and methodologies to understand FIs impact on various sectors, including economics, banking, humanities, and social networks. It also assesses the impact of FI on womens growth rates in the financial industry. The findings can help financial institutions better understand underserved segments and adapt their services to contribute to inclusive and sustainable financial ecosystems. This study helps researchers understand the repercussions of FI in various fields and provides a fresh plan for developing new methodologies for the financial industry.
    Keywords: financial inclusion; economic growth; bank; women; education; social networks.
    DOI: 10.1504/IJIE.2025.10072814
     
  • Intelligent workforce management in challenges and strategies for employee engagement   Order a copy of this article
    by Seema Bhakuni, Avantika Raina, Latha Thamma Reddi, Divya Goel, Sangeeta Tripathi, D. Kotteswaran 
    Abstract: Business behaviour is always changing. Among the more recent trends that organisations have picked up so quickly is working remotely. This paper presents a comprehensive list of issues associated with managing the remote workforce and explores ideas for enhancing worker engagement. This article will discuss some particular issues faced by remote work: communication problems, team building, performance tracking, and productivity issues. Then, on the back of a large literature review and case studies, several experiences that businesses acquire through remote work follow. Communication improves significantly from then on, enabling remote teams to work more effectively on their collaborative projects. Organisational culture and well-being of workers scored high, as pointed out by this study. Virtual team building, relaxed work rules, and tailored employee recognition practices all contribute positively to employees morale and engagement. The paper is on leading a virtual workforce. It defines all those styles of leadership which drive and energise virtual teams towards organisational goals. This holistic review of remote workforce management problems and solutions will ensure that businesses respond better to this new working style through added value and action-oriented answers.
    Keywords: remote workforce; employee engagement; remote work challenges; remote work strategies; communication technology; leadership and organisational success.
    DOI: 10.1504/IJIE.2025.10073654
     
  • Enhanced stock price prediction with a CNN-BiLSTM deep learning approach optimised by genetic algorithms   Order a copy of this article
    by Rajesh Kumar Ghosh, Bhupendra Kumar Gupta, Srikanta Patnaik, Ajit Kumar Nayak 
    Abstract: Peoples interest in the stock market has increased in recent years, as economic growth has increased. Accurate predictions of stock price fluctuations provide more financial gain while minimising risk. However, forecasting is challenging due to the constant fluctuations in pricing and their frequently uncertain movements. We propose a hybrid model that combines convolutional neural networks (CNN), bidirectional long shortterm memory (BiLSTM) networks, and a genetic algorithm (GA) for stock price prediction. This work compares our model with five other models: CNN, LSTM, BiLSTM, CNN-LSTM, and CNN-BiLSTM. We have used three evaluation metrics to evaluate each models performance. The proposed GA-CNN-BiLSTM model enhances overall performance by effectively optimising hyperparameters. We analysed a 10-year Nifty 50 dataset and found that the proposed model consistently outperforms baseline models. We conducted additional experiments on global index datasets, including the S&P 500 and Nikkei 225, to assess the models robustness and significance.
    Keywords: convolutional neural network; CNN; bidirectional long short‑term memory; BiLSTM; deep learning; genetic algorithm; technical indicators; stock price prediction.
    DOI: 10.1504/IJIE.2025.10073655
     
  • Consumer acceptance of smart speakers - smart enterprise perspective   Order a copy of this article
    by K.A. Asraar Ahmed, Varadarajan Sowmya Damodharan, A.K. Kranthi 
    Abstract: According to Statista (2025) report, the revenue of the global smart speaker market is expected to be 25 billion USD by 2029. This study examines the Indian users acceptance of smart speakers (SSPA) on the basis of the unified theory of acceptance and use of technology 2 (UTAUT2) theory. A purposive sample of 633 was collected and data was analysed using partial least squares structural equation modelling (PLS-SEM) with Smart PLS 4 software. This research study seeks to identify drivers of behavioural intentions and usage behaviour towards SSPA. This study identified the significant role of perceived interaction, performance expectancy, external social influence, task technology fit, perceived innovativeness, trust, smart speaker self-efficacy, facilitating conditions, hedonic motivation, habit, perceived risk, and social influence towards SSPA among Indian users. This study contributes to the UTAUT2 theory in the context -of SSPA. The proposed model of this study yielded strong explanatory power and medium predictive power.
    Keywords: smart speaker acceptance; SSPA; partial least squares; structural equation modelling; UTAUT2; task technology fit.
    DOI: 10.1504/IJIE.2025.10075006
     
  • Adoption of digital technology and customer relationships in the Indian banking industry: Exploring the mediating effect of workforce agility   Order a copy of this article
    by Anuva Choudhury, Ashutosh Muduli 
    Abstract: The global banking industry has undergone a major change as a result of digital transformation Banks have leveraged digital technologies to offer products and services aimed at improving the customer experience and bank performance This research explores the correlation between technology adoption and customer relationships The study, rooted in social exchange theory and the resource-based view, also tries to identify the mediating effect of workforce agility between adoption of digital technology and customer relationships Data was gathered from both senior and junior executives working in banks AMOS-SEM 27 was executed to assess the correlation Hayes PROCESS macro (Version 4 3 1; 2023) was employed to assess the mediation The results are valuable for fintech professionals, leaders, policymaking bodies, marketing teams seeking to enhance digital systems and operations Future studies could investigate other factors related to agile behavior and the effects of digital technology on outcomes like management, sales, and profitability.
    Keywords: workforce agility; adoption of digital technology; ADT; digital transformation; banking industry; customer relationship; banks’ performance; India.
    DOI: 10.1504/IJIE.2025.10075202
     
  • Data-driven review of business intelligence applications: a text mining approach   Order a copy of this article
    by Sandeep Singh 
    Abstract: This research extensively delves into business intelligence (BI) and its applications within the current global market. Employing a structural topic modelling approach, the study aimed to uncover latent topics that evolve in BI. A meticulous analysis was conducted on 5,306 articles from the Scopus database from 2020 to 2023. The investigation identified publication patterns, influential journals, authors, and prominent institutions within this field. Nine distinct thematic clusters emerged, covering diverse topics such as urban energy and transport development, decision support system modelling price optimisation in manufacturing and supply chain, socialisation in the online and tourism market, big data mining and processing, big data analytics for business, data analytics in healthcare and pandemics, digital technology development for industry using big data and algorithm-based predictive learning mechanisms.
    Keywords: business intelligence; structural topic modelling; text mining; COVID-19.
    DOI: 10.1504/IJIE.2025.10075357
     

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   Order a copy of this article
    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   Order a copy of this article
    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