International Journal of Intelligent Enterprise (12 papers in press)

Regular Issues

• Impact of digital HRM on academicians’ performance: exploring the mediating role of organisational commitment  
  by Ahmad Y.A. Bani Ahmad, Srinivas Kolachina, S. Suman Rajest, Manisha Singh, Arjyalopa Mishra, S.Shyam Sundar 
  Abstract: This study examines how digital human resource management (HRM) practises affect academic performance through organisational commitment. Digital HRM concepts like assessment calculation and performance signals are examined. The study randomly selected 200 notable university professors. Data was analysed using SPSS-21 using a valid questionnaire. Digital HRM practises are assessed utilising e-trainings, e-communication, e-performance appraisal, and e-performance, while scales measure performance and commitment. Regression, descriptive statistics, and path analysis analyse research. Organisational commitment mediates digital HRM features’ indirect effect on performance assessment. Communication, appraisal, and transparency in digital HRM impact performance assessment. Three organisational commitment factors hardly slightly affect performance assessment. Further investigation demonstrates that digital HRM elements indirectly affect performance assessment, most notably training. HR-organised training improves faculty performance. Performance assessment benefits from affective commitment, but normative and ongoing commitments hurt it. This study examines how digital HRM practises affect academic achievement and how organisational commitment mediates this. The findings highlight the need for concentrated e-training and HR practises that encourage affective commitment while removing negative influences from other commitment forms. This research adds to the HRM digital transformation discussion and its effects on academic performance and commitment.
  Keywords: digital human resource management; HRM; academic performance and commitment; mediating role of organisational commitment; data-driven approach; teaching profession; higher education; performance evaluation methods.
  
  
• Ethical considerations of AI integration in academic environments: balancing innovation and student privacy in Jordan  
  by Firas Tayseer Mohammad Ayasrah 
  Abstract: This study examines the ethics of AI-powered systems that gather and analyse students’ personal data, academic performance, and actions. Exploring the ethical implications of AI integration in Jordanian academic environments, examining data privacy mechanisms in AI-driven academic systems, and presenting ethical recommendations for responsible AI integration were the three aims. The ethical framework in this research promotes a well-balanced strategy that maximises AI benefits while protecting student privacy. The report recommended thorough data protection, open AI use, and clear permission processes. Thus, the study found a significant correlation between the ethical concerns of integrating artificial intelligence (AI) into academic settings in Jordan, data privacy precautions and AI-driven academic systems, and offered ethical standards for proper AI integration in Jordan. The study found that ethical issues surrounding the use of artificial intelligence (AI) in academic settings, particularly the difficult balance between innovation and student privacy in Jordan, shed light on the vital intersection of technology and education. This study highlights the necessity for a comprehensive approach to integrate artificial intelligence (AI) into educational institutions while considering ethical issues.
  Keywords: ethics and AI integration; academic environments and innovation; students privacy; academic environments; personal information; academic achievements; natural language processing.
  
  
• 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 establishing 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.
  DOI: 10.1504/IJIE.2024.10065835
   
  
• Hybridisation as organisational design in visuals on 'Fortes' advertisement: a semiotic analysis  
  by Sathvika Rudrakumar, Rajasekaran Venkatraman 
  Abstract: Advertising is the most important marketing strategy to promote products to consumers. The world is witnessing a boom in automobile industries with e-vehicle and CNG advancement. Different modes or types of delivering messages to consumers or audiences are equally essential. The paper examines automobile print advertisements to determine how the advertising sector seeks to secure its targeted goal of urging and influencing the audience through the semiotic lens. The major finding is determining how the sign language system operates through the visuals portrayed. The paper explores decoding the semiotics theory and uncovering the hidden meanings in selected advertisements. The study inspects the connotative and denotative interpretations included in the image. These advertisements are subjected to a comprehensive examination, which includes both descriptive content analysis and pictorial analysis as the approach for this study. The study analysed a number of advertising, and one of the most important representations that was found in those advertisements was hybridisation.
  Keywords: automobile advertisements; pictorial analysis; organisational designing; sign language; signifier and signified; connotative and denotative; semiotics; Kia Motors; animals; print advertisements; magazine ads.
  DOI: 10.1504/IJIE.2024.10065837
   
  
• 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.
  DOI: 10.1504/IJIE.2024.10065836
   
  
• The influence of leaders' digital literacy on SMEs' digital transformation in Indonesia  
  by Ope Destrian, Sudarma 
  Abstract: The significance of digital transformation for small and medium-sized enterprises (SMEs), especially in times of disruption, is frequently demonstrated by research. Nevertheless, not much consideration has been placed on how SMEs undergo digital transformation. This study examines how SMEs' digital transformation will be affected by leaders' digital literacy utilising survey data from 276 SMEs in Indonesia. According to our research, leaders' digital literacy affects digital transformation through digital tool utilisation. Additionally, the features of leaders (such as age, educational level, and gender) further influence the association between leaders' digital literacy and digital tool utilisation. Our work is among initial endeavours to assess SMEs' digital transformation in an emerging country such as Indonesia. The description of how leaders' digital literacy affects SME digital transformation through digital tool utilisation is an extension that contributes to the literature on digitalisation.
  Keywords: Indonesia; small and medium-sized enterprises; SMEs; leader's individualities; digital literacy; digital transformation; DGT.
  DOI: 10.1504/IJIE.2024.10065838
   
  

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.
  
  
• Leveraging data-driven decision-making for medicine supply chain resilience during health crisis  
  by Rahul Sharma, Surya Prakash, Sudhir Arora, Ashok Kumar Peepliwal, Sudhinder Singh Chowhan 
  Abstract: The study was conducted to identify medicine and its therapeutic segments which had suffered sourcing and stockout challenges at the grass-root level during the pandemic time. An exploratory and descriptive study was conducted using primary data from sampled private retail pharmacy business stores. Factors like the name of the medicine, their therapeutic segment, geographical location, and the timeline of the events, were captured to analyse drug shortage along. The study indicated an acute shortage of medicine including antibiotics, antiviral, and supplements during the pandemic, due to disruption in the medicine supply. There was a high correlation between the incidence of infection cases and the drug shortage, which suggests the rise in demand for essential medicine especially antibiotics and supplements following the rise in the cases. The study provides a recommendation to pharmaceutical organisations, suppliers, and policymakers, to effectively handle sourcing and supplies to counter stockout situations.
  Keywords: stockout; pharmaceutical supply chain; drug retail; inventory control.
  
  
• Modelling fluctuating market size based adoption of technological products: an alternative formulation  
  by Jyotish N. P. Singh, Adarsh Anand, Deepti Aggrawal, Chanchal 
  Abstract: Customers in the ever-changing digital advanced marketplace often demonstrate unpredictable behaviours that can significantly impact the potential market size. Some satisfied customers may exhibit loyalty and choose to repurchase the product, while others may be driven by indecision and impatience, resulting in lost sales. These contrasting actions of repeat purchasing and balking behaviour can result in fluctuating market size, underscoring the importance of considering such scenarios when studying technological adoption models. The authors have proposed an alternative formulation of the innovative technological product adoption model to address these ever-changing market dynamics. Notably, this formulation simultaneously accounts for customers balking and repurchasing behaviour. By incorporating these factors, managers can gain insights into predicting market performance amidst fluctuations and navigate market volatility more effectively. The proposed alternative formulation is validated using real-life datasets and the obtained results support its practical application in predicting market outcomes. These findings lend credibility to the application of the alternative formulation, empowering managers with the means to anticipate and adapt to market fluctuations with greater precision.
  Keywords: balking behaviour; market dynamics; technological adoption; repeat purchase.
  
  
• 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