International Journal of Intelligent Enterprise (6 papers in press)

Regular Issues

• Impact of demographic attributes on requirement elicitation and quality software development  
  by S.P. Udhayakumar, M. Sivasubramanian 
  Abstract: Requirements elicitation, which involves working closely with stakeholders to identify the current needs of a product and establish a shared vision and goals for a project, is a crucial stage in software development. Many experts concur that when requirements are incorrect, incomplete, or confusing, it can negatively impact software projects’ quality, cost, and timely delivery. Problems of understanding relate to poor comprehension of requirements within and between groups, such as users and developers. Requirements engineering (RE) is a crucial practice that involves understanding and identifying the needs of customers, users, and stakeholders to develop systems and software that are highly likely to satisfy those needs. Since software project failures are often difficult to predict, enhancing the efficiency of requirements gathering can greatly contribute to the success of a project. It is crucial to comprehend the challenges in collecting requirements and enable the implementation of suitable preventative measures to overcome, avoid, or tackle them in a manner that minimises their adverse impact on the overall project achievement. To overcome these challenges and accurately identify stakeholders` needs, various processes for requirements elicitation have been proposed in the literature.
  Keywords: requirement elicitation; software quality management; requirement engineering; stakeholders; communication skills; software development; requirement quality; global software development; written communication.
  DOI: 10.1504/IJIE.2024.10065247
   
  
• Early warning and alluvial risk perception of Peruvian business intelligent owners systems  
  by Edwin Ramirez-Asis, Giovani Villegas-Ramirez, Nilda Barrutia-Montoya, Carlos Huerta-Soto, Carlos Enrique Fernández López 
  Abstract: The study’s primary goal was to assess if business owners in Huaraz consider the early warning system at Palcacocha Lagoon effective in mitigating alluvial risks. Intelligent business systems and risk perception are closely interconnected. The former refers to the use of knowledge in a systematic way to achieve certain objectives. At the same time, the latter involves using innovative approaches to carry out tasks in ways that differ from conventional methods. Based on a survey involving 513 business owners in the Quilcay River’s alluvial zone, it is suggested that 20 elements across four dimensions are appropriate for evaluating acceptability levels. Similarly, the assessment of risk perception involves 16 questions spread over three dimensions. The normality of the data was checked using the Kolmogorov-Smirnov test, which showed a p-value of 0.05, indicating that the data does not follow a normal distribution. Further analysis using Spearman’s Rho produced a coefficient of 0.769, highlighting significant findings at a p-value of 0.000. This analysis reveals a strong correlation between the perception of alluvial risks and adopting early warning systems among business owners near the Palcacocha lagoon in Huaraz City.
  Keywords: alluvial risk; early warning system; business owners; Palcacocha Lagoon; White Mountain Range; business intelligent systems; larger businesses; conventional methods.
  
  
• Expiration Day Effect on the Nifty Futures volume and price: an empirical evidence  
  by K.S. Suryanarayana, V.S. Prasad Kandi, Ashok Botta 
  Abstract: The research article delves into the impact of expiration day on Nifty Futures trading volume and prices. This comprehensive study spans from January 2021 to January 2023, employing the EGARCH framework alongside various diagnostic tests such as the Augmented Dickey-Fuller (ADF) test, ARCH test, normality test, and serial correlation test for data analysis. The findings of this investigation illuminate the profound influence of expiration day on market dynamics. Expiration day introduces an element of uncertainty and heightened volatility into the market, thereby stimulating increased trading activity and consequential price fluctuations in Nifty Futures. Notably, traders exhibit a distinct tendency to adjust their positions based on their market sentiment and outlook, further contributing to the fluctuations in Nifty Futures prices. This study underscores the significance of considering expiration day’s influence on the Nifty Futures market. Traders and investors are urged to recognise and account for the unique dynamics surrounding expiration day when making judgments and decisions. A thorough understanding of these effects can empower market participants to navigate the Nifty Futures market more effectively and make informed choices in response to the dynamic shifts triggered by expiration day events.
  Keywords: expiration-day; Nifty Futures; EGARCH; stationarity check; turnover; Augmented Dickey-Fuller; ADF; Indian National Stock Exchange; opportunities for profit.
  
  

Special Issue on: Digital Technologies for Enterprise Transformation

• Leveraging social media to mitigate information asymmetry during humanitarian relief operations  
  by Deepak Srivastav, Anand Gurumurthy 
  Abstract: This study investigates social media’s role in mitigating information asymmetry during humanitarian relief operations (HROs). The 2015 Chennai Flood is used as a case study, and social media analytics (SMA) is utilised to understand how social media can be leveraged to engage people with high social capital for rapid and accurate information diffusion. It uses well-established techniques for SMA, such as topic modelling, sentiment analysis, etc., to gain critical insights from the text corpus obtained from Twitter (now called X). The results show that affected people in a disaster use social media to communicate their concerns/needs to the government or humanitarian organisations (HO) through celebrities and media, which is a unique finding. Moreover, this study shows that organisations serving disaster-affected populations, such as HO and the government, can utilise celebrities not only to get feedback about HROs from the affected people but also to disseminate crucial information, such as alerts, to the affected population at increased speed. Hence, this study recommends that the HO and the government explore utilising the services of celebrities effectively during HROs, as they possess significant social influence.
  Keywords: social media; information asymmetry; 2015 Chennai Floods; celebrities; humanitarian supply chain management; HSCM; relief/response; case study.
  
  
• Advancing sustainable e-waste management systems integrated with artificial intelligence in developing countries  
  by Varun Kumar, Om Ji Shukla 
  Abstract: Industry 5.0 represents a paradigm shift in manufacturing and industrial processes, fostering collaboration between humans, robots, and smart devices. This evolution leverages advanced technologies such as artificial intelligence to boost productivity. In the context of e-waste management in developing countries, this study addresses the various influencing factors as drivers for enhancing the efficiency. These drivers were refined through an inter-consistency test and categorised using Fuzzy-DEMATEL. Notably, public awareness and technological advancement emerged as the most influential factors in integrating AI for sustainable e-waste management. Among these drivers, training and empowerment was found to be the most effective in driving positive change, while government policy and regulation played a pivotal role as the primary causal driver. This research offers valuable insights that can empower policymakers and environmental agencies to facilitate the adoption of AI and promote cleaner and more efficient e-waste management in developing countries.
  Keywords: artificial intelligence; Cronbach’s alpha; DEMATEL; e-waste management; influencing factors; sensitivity analysis.
  DOI: 10.1504/IJIE.2024.10063448
   
  
• Artificial intelligence in higher education: the challenges, opportunities and the road ahead  
  by Maureen Primrose Lal, Ramji Nagariya, Man Mohan Siddh 
  Abstract: This paper investigates to deliver an overview of literature from 2012 to 2023 on the phenomena of implementing artificial intelligence in education (AIEd). With the help of the Scopus indexing database, data from 441 articles were extracted, analysed based on the keywords and preliminary reading and synthesised according to explicit inclusion and exclusion criteria and article compilation was on the parameters of scientific procedures and rationales for systematic literature review protocol (SPAR4SLR). Drawing on the recent literature depicts that the inception of artificial intelligence in education is still in its initial stage and much research is required. This article implies that although there are benefits and challenges talked about in the article delving into the application of AIEd in higher education’s system of teaching and learning that shall lead the education system to newfound intelligence and automation, however, things are at the very initial stage and filled with conjectures. The findings demonstrate that the artificial intelligence-based teaching and learning phenomenon has a bright future as educational institutes understand its upcoming impact. The greatest challenge for educational institutes now is to start planning, designing, developing and implementing artificial intelligence-based courses for multidisciplinary and holistic training for future employees.
  Keywords: artificial intelligence; higher education; education; systematic literature review protocol; SPAR4SLR; artificial intelligence in education; AIEd.
  DOI: 10.1504/IJIE.2024.10063894