International Journal of Intelligent Enterprise (16 papers in press)

Regular Issues

• Influence of COVID-19 pandemic on the digitalisation of enterprises management  
  by Boris Miethlich, Denis Belotserkovich, Samira Abasova, Elena Zatsarinnaya, Oleg Veselitsky 
  Abstract: The goal of this study was to analyse changes in enterprise management among COVID-19 and create mechanism for managing digital transformation. The methodological basis of the study was represented by a terminological analysis of the concepts of automation, digitalisation, and digital transformation, the results of which were aimed at building a conceptual scheme for business digitalisation. During the research, we found out that a full-fledged and successful digital transformation is possible after the restructuring of the company’s business process management system. By comparing the outcomes of using digital platform-based business models (used in Azerbaijan, Russia, and Switzerland), the most promising one was selected to be used in the COVID-19 affected environment. The collected data suggest that regardless of the country’s digitalisation level, innovation and transformation continue to provide business-promoting aid. Utilisation of modern online platforms for doing business is proved to be instrumental for substantial digital governance advancement.
  Keywords: digital economy; business model; innovation; strategic management; growth.
  DOI: 10.1504/IJIE.2021.10043411
   
  
• Fourth industrial revolution: implications for the water sector in an African context  
  by Chuks Medoh, Arnesh Telukdarie 
  Abstract: The water sector can leverage advancement provided for by the fourth industrial revolution (4IR). The operational protocols of water distribution and monitoring are significant and diverse. This paper segregates and focuses on non-revenue water (NRW) issues. This paper proposes a model suitable to optimise leak detection and water balancing aspects of water operations. The developments are driven by tools of the 4IR discussing the role of small and medium enterprises (SMEs) as a theoretical basis. The methodology employs simulation and design of experiments (DOE) to collaborate activities (business processes) relating to leak detection and water balancing operational protocols. The data collection is developed in a repository using the Microsoft Visio tool and tested using AccuProcess Modeler (simulation tool). The results through the proposed holistic leak detection and water balancing model (LDWBM) highlight significant savings in the total business response times and sustainable for water distribution and monitoring.
  Keywords: design of experiment; DOE; fourth industrial revolution; 4IR; modelling; non-revenue water; simulation; small and medium enterprises; SMEs.
  DOI: 10.1504/IJIE.2022.10044263
   
  
• EOQ model with imperfect items and backorder with allowable proportionate discount using cross selling effects  
  by Rashmi Rani Patro, Rojalini Patro, Mitali Madhusmita Nayak, Srikanta Patnaik 
  Abstract: The present paper aims to develop an economic order quantity (EOQ) model for the items of imperfect quality with a joint effect of proportionate discount, backorder, clustering with association rule mining and cross-selling effect. In this work, first, we computed the ordering policy with cross-selling effect. In case of imperfect quality items, cross-selling effects are visible clearly. Different data mining techniques are used to establish relationships among the items. We used clustering to find similar clusters in the inventory data base then the apriori algorithm to generate frequent item sets among the item sets in individual clusters. With cross-selling effect, the frequent items are taken as specific entities. Further, the EOQ of these entities is calculated along with the shortage level. Lastly, we considered a numerical example to validate the proposed work.
  Keywords: inventory; imperfect quality; proportionate discount; backorder; clustering; economic order quantity; EOQ.
  DOI: 10.1504/IJIE.2022.10047808
   
  
• The impact of intelligent systems on the compensation policies of companies of the future  
  by Renato Lopes Da Costa, Tânia Filipa, Filipa Martinho, Rui Gonçalves, Álvaro Dias, Leandro Pereira 
  Abstract: Even though intelligent systems bring numerous benefits to organisations, the challenges that may occur in their functionality are still of concern, as revealed in the literature. The implementation of technologies has been growing, leading organisations to become advantageous and competitive, increasing productivity as well as reducing the functions performed by humans. Managers cannot devalue their employees, because they have the help of machines and initially feel difficulties in their adaptation. To understand the connection between the subjects of intelligent systems and compensation policies, the research questions will address the impact of intelligent systems on the compensation policies of the companies of the future and the impact that these technologies will have on rewards and employee appreciation. To answer these questions, a questionnaire was launched, and the results are analysed using a quantitative model, which showed that operation and non-operation benefits of using intelligent systems will positively affect compensation policies and that risks of its implementation are not a main concern.
  Keywords: intelligent systems; compensation policies; human resource management.
  DOI: 10.1504/IJIE.2022.10045348
   
  
• Appraising and overcoming the barriers of RFID implementation in a process industry in New Zealand  
  by Supriya Roy, Ram Naresh Roy 
  Abstract: Radio-frequency identification (RFID) technology is widely used in manufacturing and service industries to track inventory in transit, asset control and improve the overall supply chain. For example, RFID is used to track the products location down the assembly line in the automobile and pharmaceutical industries. This paper explores the possibility of implementing RFID in a glass processing plant via mobile platforms (PC or smartphone apps) for searching customer ordered glasses through the various stages in the plant. It also examines how RFID can help reduce the time and cost spent on glass reworks, leading to increased profitability and customer satisfaction. Finally, the paper also explores the potential barriers to implementing RFID in a glass production plant in New Zealand.
  Keywords: radio-frequency identification; RFID; EPC; glass processing; supply chain; delivered in full on time; DIFOT; barcodes; implementation constraints.
  DOI: 10.1504/IJIE.2023.10056444
   
  
• An innovative model on intention to adopt cloud-based ERP among SMEs  
  by Aveek Basu, Sraboni Dutta, Rohini Jha 
  Abstract: Enterprise resource planning (ERP) is an integrated suite of business application which ensures end to end delivery of all operational processes effectively and efficiently. Cloud ERP has recently gained significant impetus with the advent of cloud technology and organisations are showing substantial interests due to various advantages. End user acceptance plays a significant role in successful implementation of ERP systems and is a key factor in cloud ERP adoption by SMEs. Several studies are performed on ERP models which are dealing with acceptance. However, each model has some limitations and the current research on Indian SMEs deals with a hybrid framework which considers vital constructs of established models. The research work strives to explore the predictors of cloud ERP adoption. The findings will provide guidelines to SMEs of developing economies planning to adopt cloud-based ERP and cloud vendors can ameliorate their business strategies as per adoption intricacies found in study.
  Keywords: enterprise resource planning; cloud ERP; adoption intention; innovation; technology-organisation-environment; TOE; resistance; small and medium enterprises; SMEs.
  DOI: 10.1504/IJIE.2022.10047198
   
  
• A balanced scorecard system as a character of the enterprise's financial stability  
  by Alisa Ableeva, Guzel Salimova, Almira Farrahetdinova, Aigul Galimova, Gulnara Gabidullina, Elina Galimova 
  Abstract: The paper aimed to study a balanced scorecard (BSC) characterising the enterprise’s stability from the perspective of compliance of its actual economic situation with future strategic goals. Based on indicative approach and using the provisions and approaches of the fuzzy sets theory, the integrated evaluation of level of achievement of BSC benchmarks of the enterprise was carried out. The scientific novelty of this study resides in the possibilities that the application of new tools (fuzzy sets theory, integrated evaluations) provides for monitoring both current and future performance indicators of an enterprise. The obtained results designate that proposed methodology can be applied in practice. The most significant its advantages incorporate the aggregation of criteria of varying nature, ability to calculate preliminary totals for different groups of indicators, possibility of making forecasts and managerial decisions based on results gained, and ability to assess expected economic condition of the enterprise through the BSC.
  Keywords: strategy; financial stability; balanced scorecard; BSC; integrated evaluation.
  DOI: 10.1504/IJIE.2022.10047337
   
  
• Modelling and analysis of key enablers of digital transformation in food SMEs using ISM and MICMAC approach  
  by Bhavesh Chandrayan, Sumit Gupta, Ravinder Kumar, Govind Sharan Dangayach, Sandeep Jagtap 
  Abstract: The food business in India is the backbone of the country, meeting the fundamental human need of food for a large portion of the country’s population while also exporting it to other countries. Small and medium-sized enterprises (SMEs) account for the major share of total food production, even though they lack the necessary technological infrastructure and operating standards. Due to COVID-19 crisis, the food sector has been obliged to resolve and upgrade to the new laws tralatitious by the government, which has significantly stimulated the long-awaited digital transformation of food SMEs in India. The purpose of this study is to identify and analyse the major enablers of digital transformation in food SMEs. The interpretive structural modelling (ISM) methodology has been used to categorise the identified enablers of digital transformation, which further helps in identifying the most proactive enabler and assess the integration of other enablers in the technological paradigm.
  Keywords: digital transformation; enablers; Industry 4.0; interpretive structural modelling; ISM; food SMEs; MICMAC.
  DOI: 10.1504/IJIE.2022.10047970
   
  
• An intelligent pesticide screening strategy using screen-printing technology  
  by Sumit Mor, Saveena Solanki, Vikas Dhull 
  Abstract: In present era, agriculture and industrialisation are very necessary to support exponentially growing population. However, along with this it has also adverse effects on environment. It is necessary to monitor environmental containments so that risk to human life can be minimised. For this, sensors are fabricated using intelligent strategies to monitor toxic compounds for environmental management. So, in present work, compounds for environmental management. So, in present work, organophosphorus compounds. Nanoparticles were synthesised and analytical tools were used for characterisation. Intelligent screen printed gold electrode was modified by layering paste mixture of nanoparticles and c-SWCNTs to form ZnO NPs/c-SWCNTs/SPAuE. Acetylcholinesterase was immobilised onto electrode. Cellulose acetate was applied to prevent enzyme from leaching and electrode fouling. It was tested to detect presence of organophosphorus in samples. This intelligent strategy can also be used for detection of other containments in food, dye removal, heavy metals and medical applications.
  Keywords: intelligent; sensor; screening; environment; analytical tool.
  DOI: 10.1504/IJIE.2022.10049250
   
  
• Tweets analytics for directional prediction of stock market movement: a short window event study  
  by Tanuj Nandan, Manas Agrawal, Rajat Kumar Soni 
  Abstract: This study examines the influence of tweets on the prediction of the Nifty 50 index movement in association with the COVID-19 vaccination news break event in India. A 15 days short window analysis has conducted using 27,175 tweets with 14 hashtags from the first date of the COVID-19 vaccination news break in India on December 2020. The investigation explores the impact of sentiment, mood and volume of tweets on Nifty 50 index movement through regression analysis. We find positive sentiment more significantly influences the market movement than negative sentiment associated with any optimistic event, and mood is the most efficient predictor of daily market movement. However, volumes of tweets have not significantly supported our predictor model used in this study. Therefore, this study provides the behavioural impact of Twitter sentiment analysis on stock market movement only associated with an optimistic event, which can also be considered a gap for future exploration.
  Keywords: sentiment analysis; Nifty 50 index; Twitter; COVID-19; stock market movement.
  DOI: 10.1504/IJIE.2023.10052367
   
  
• Study of Indian Sector Selection Problem amidst Coronavirus Disruption: An AHP Approach  
  by Nishtha Agarwal, NItin Seth, Ashish Agarwal 
  Abstract: As Chinas position in the market weakens due to coronavirus disease, supply chain managers are looking for alternatives to safeguard their businesses. India, with its strategic location, infrastructure and growing economy poses a great option. Several industry sectors in India are performing exceptionally well and can tap into the opportunity and showcase their prowess in stabilising the disruptions caused in the global supply chains. However, more investments are required for the development of these sectors to meet the global demand. The challenge that lies with the government is to prioritise sectors for investments. The present study aims at creating a decision-making framework using Analytical Hierarchy Process (AHP) to solve this problem. The three-layer AHP framework, through pairwise comparisons, aims at identifying the sector on which the government should focus its investments upon based upon various performance parameters. The results from AHP depict that the pharmaceutical sector should be given priority in terms of investments for its development followed by Chemical, agriculture, aquaculture and textile sector.
  Keywords: Analytical Hierarchy Process; Sector selection; India; disruptions; global supply chains.
  
  
• Sustainable Development Goals through public sector social responsibility of Indian energy firms - a qualitative analysis  
  by Suchitra Pandey, Parul Rishi 
  Abstract: Public sectors have been regulated by the Department of Public Enterprises (DPE) CSR guidelines since 2010, and thus have the experience and expertise of formally carrying out corporate social responsibility (CSR). These organisations also fall under the ambit of the CSR law, which prevails over the DPE CSR guidelines. Understanding the potential of these organisations to contribute to CSR, the government aims to achieve Sustainable Development Goals (SDGs) through CSR. Consequently, the country has linked the SDGs with its national development goals and has set ambitious goals for their implementation. This study analyses and documents the CSR practices of the Indian public sectors concerning the CSR law and the SDGs for sustainable growth in a holistic manner for the people and the planet. Further, the interviews from the key functionaries have helped understand the policy level changes that need to be introduced for successful CSR implementation and achievement of the goals.
  Keywords: corporate social responsibility; CSR; Sustainable Development Goals; SDGs; sustainability; public sector enterprises; environment; development; community; energy; employee engagement; India.
  DOI: 10.1504/IJIE.2021.10036795
   
  
• Consumer choice and sustainable competitive advantage in food industry  
  by Renato Lopes Da Costa, Leandro Pereira, Álvaro Dias, Rui Gonçalves 
  Abstract: Although the investigation into the resource-based view (RBV) is rather extensive from an organisational point of view, there is a lack of research to confirm the customers' view of the competitiveness factors. This investigation seeks to address this gap. For this purpose, two studies were conducted. The first study is qualitative analysis using in-depth interviews with top managers of three international food brands, aiming to evaluate competitive factors, from the firm perspective. The second study is quantitative, evaluating customers' perceptions relating to the same competitive factors. The results of this research allow a deep understanding of how to create a competitive advantage in the food industry, in particular in fast-food restaurants. In addition, it shows that there is a significant difference between the perspectives of the brands and those of consumers in relation to competitiveness factors and Consumers give more value to their own availability to purchase, while companies focus more on the surrounding context.
  Keywords: resource-based view; VRIO framework; dynamic capabilities; sustainable competitive advantage; food industry.
  DOI: 10.1504/IJIE.2021.10040558
   
  
• Interpretive structural modelling of factors affecting perceived risk in adoption of mobile payment system: a vendor's perspective  
  by Bharti Ramtiyal, Deepak Verma, Ajay Pal Singh Rathore 
  Abstract: In a research on adoption of a technology, perceived risk becomes a centrepiece of the study. Similarly, research on adoption of mobile payment systems (MPSs) is supplemented by risk research. This study focuses on studying the inter-relationships among various types of perceived risk from vendor's point of view using interpretive structural modelling (ISM). It focuses on the risk perception of small vendors towards adoption of MPS in India. The developed ISM in Indian conditions reveals unidirectional and bi-directional structural relationships among seven factors of risk perception. The paper also presents a decision making tool when it comes to risk mitigation. Decision maker can use it to chalk out a strategy to prioritise and subsequently mitigate the risk arising in adoption of MPS. Additionally, it supports the small vendor base by creating more awareness among government bodies as to how to reduce the perceived risk associated with MPS.
  Keywords: mobile payment system; MPS; risk; adoption; vendor; interpretive structural modelling; ISM.
  DOI: 10.1504/IJIE.2023.10056321
   
  
• Sentiment analysis on pandemic poems using TextBlob  
  by Subhasri Vijayakumar, V. Maheysh 
  Abstract: Pandemic poetries are those poems written to document the pandemic poetically, created with an aim to connect people and help each other in the times of isolation. Interpreting poems largely reside with the readers and there is always the underlying communication of the author too. A highly subjective area for interpretation and understanding, marked with contextual meanings, poems offer diverse thought processes. Analysing the sentiments of the written work cannot always be white and black; there are grey areas to be explored also. How convergent or divergent will be the results of interpretation when analysed through machine sentiments? Through this study we aim to analyse two poems published during this pandemic situation using Textblob. It can be deduced that sentiment is influenced only by the literal meaning of words, rather than by the context of the whole sentence/paragraph which brings in divergence in interpretation especially in the word-list-based method.
  Keywords: sentiment analysis; poems; pandemic literature; TextBlob; machine interpretations; social media; Python; opinion mining.
  DOI: 10.1504/IJIE.2022.10045084
   
  
• Talent management and organisational commitment: exploring the mediation effects of creativity and proactivity  
  by Álvaro Dias, Leandro Pereira, Renato Lopes Da Costa, Rui Gonçalves 
  Abstract: This work focuses on the analysis of talent management. The variables of creativity were chosen; balance between personal life and work, proactivity, career management and organisational commitment as influential factors. In the current conjecture the market has to meet the demands, companies are looking for a way to stand out from the competition. As such, this article aims to explore the antecedents of organisational commitment to improve talent management. Partial least square software was used to build a structural equation model, with survey data from a convenience sample of 233 individuals. Results reveal that work-life balance has a significant positive effect on creativity and career satisfaction, and that creativity has a significant positive effect on organisational commitment. The mediation effects of creativity and proactivity were also tested providing evidence of the leveraging effect on organisational commitment of work-life balance and personal life.
  Keywords: talent retention; commitment; creativity; proactivity; work-life balance; PLS.
  DOI: 10.1504/IJIE.2022.10044264