Information Technology Research Articles

Role of Information Technology in Agriculture : A Review

Information Technology (IT) is the application of computers and telecommunications equipment to store, retrieve, transmit and manipulate data, often in the context of a business, education or other enterprise. This paper reviewed the India’s IT Industry and in addition studied the Impact of IT on the Indian Agriculture. To improve the quality of agricultural products and production using information technology that requires efficiency and information in all sectors of agriculture. Information technology support new methods and ideas for precision and healthy agriculture used computers in farm, climate or weather forecasting, use of method and materials and kind of crops. In this paper I tried to find how information technology is useful for making choices to setting goals, improve planning and produce better agriculture products and study the key elements and basic issues of information technology in agriculture.

IEEE IT Professionals

IEEE IT Professionals

Asia-Pacific developments

This column provides a country by country analysis of the latest legal developments, cases and issues relevant to the IT, media and telecommunications' industries in key jurisdictions across the Asia Pacific region. The articles appearing in this column are intended to serve as ‘alerts’ and are not submitted as detailed analyses of cases or legal developments.

Effectiveness of technology-based psychosocial interventions for improving health-related outcomes of family caregivers of stroke survivors: A systematic review and meta-analysis.

To synthesize evidence regarding the effectiveness of technology-based psychosocial interventions in improving health-related outcomes among family caregivers of stroke survivors. A systematic review and meta-analysis was reported by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Randomized controlled trials that investigated the effects of psychosocial interventions delivered through information and communication technologies on self-efficacy, caregiving competence, caregiver burden, perceived social support, anxiety, depression, health-related quality of life and cost-effectiveness were included. Two researchers independently selected studies, extracted data, and appraised the quality of the included studies. Subgroup analysis, sensitivity analysis, and narrative synthesis were conducted. Ten electronic databases (PubMed, CENTRAL, Web of Science, Scopus, CINHAL, Embase, Institution of Electrical Engineers Xplore, Ovid Medline, PsycINFO, ProQuest Dissertations and Thesis) were searched up to February 2023. Nineteen studies involving 1717 participants fulfilled the eligibility criteria. Technology-based psychosocial interventions significantly improved self-efficacy (SMD = .62), caregiving competence (SMD = .55), depression (SMD = -.25) and anxiety (SMD = -.35). However, perceived social support, caregiver burden, and health-related quality of life did not show significant improvements. Subgroup analyses revealed that the interventions, lasting from 4 to 6 weeks and encompassing comprehensive contents, exhibited larger effect sizes. None of the studies measured cost-effectiveness. The technology-based psychosocial interventions are effective in enhancing self-efficacy and caregiving competence, as well as alleviating anxiety, and depression among family caregivers of stroke survivors. Future research should investigate interventions delivered through various digital platforms using well-designed RCTs with in-depth qualitative data collection and measurement of health and cost-effectiveness outcomes. Through psychosocial interventions, healthcare providers in clinical and community settings, particularly nurses, could incorporate technologies into current stroke care practices. It is not applicable as this is a systematic review. The protocol was registered on PROSPERO (CRD42023402871).

Analyzing the interplay between social media analytics and nudges in pandemic control

This study employs a data-driven approach to examine the government's use of data insights and nudges to promote social distancing during the pandemic. Drawing from well-established technology adoption theories, a nationwide online survey was conducted among professionals and postgraduate students adapting to remote work and learning. The study unveils that access to suitable information and communication technology (ICT) significantly influences people's willingness to adhere to social distancing and work from home (WFH). Moreover, respondents' expectations of WFH's impact on job performance emerged as a critical driver for sustained social distancing, with individuals' habits playing a pivotal role in enhancing WFH performance expectancy. Notably, the study pioneers in exploring the psychological effects of government nudges during a pandemic, shedding light on an uncharted aspect of pandemic control strategies.

Development of artificial intelligence-based teaching factory in vocational high schools in Central Java Province

The objective of this study is to examine and assess the progress of utilizing artificial intelligence (AI) in teaching factory learning to enhance the digital skills of vocational high school (SMK) students in the province of Central Java. This study employed a qualitative approach utilizing metaethnography, as well as a quantitative approach employing Aiken’s V formula and strength, weakness, opportunity, threat (SWOT) analysis to identify and analyze the issues that arise. The present study examines the locations of SMKN 2 Purbalingga and SMKS Telkom in Central Java. Furthermore, relevant documentation was also utilized as a source of data. The research findings indicate that the implementation of AI in teaching manufacturing learning has effectively facilitated the development of an online learning management system. This system is characterized by its organized and integrated approach inside the online learning management system. The administration of teaching materials may be conducted autonomously and facilitated by the utilization of diverse information and communication technology or e-learning functionalities, including chat, email, blogs, and social media platforms. The creation of new enterprises within the domain of AI. It is imperative for educational institutions to align their policies with the demands and requirements of the business.

Assessment of competitive advantages of IT system integrator companies taking industry factors into account

Purpose. To evaluate competitive advantages of IT system integrators in Ukraine. To investigate the influence of industry factors on the formation of competitive advantages using cases of the mining and fuel & energy industries. Methodology. The empirical basis of the study was presented by performance indicators of the leading system integrator companies of Ukraine. The methodological basis of the research was the scoring method using weight coefficients and the graphic method of creating a radial diagram of competitive advantages. During the research, the following methods were used: analysis and synthesis (to study the components of competitive advantages and to form integral indicators), induction and deduction (to form market trends and to identify enterprise strategies), classification (to form indicators that determine competitive advantages). Findings. In the process of research, a model of competitive advantages for system integrator companies was formed. A methodology was developed and an assessment of competitive advantages of the leading system integrators of IT industry of Ukraine was carried out. A radial diagram of competitive advantages was created. It allows performing a comparative analysis of the factors of company competitive advantages with the aim to form a development strategy to improve the competitive position of the company in the market. Features of influence of the industry factors on the formation of competitive advantages of system integrators were considered and this influence was evaluated using cases of the mining and fuel & energy industries. Originality. A model and methodology for assessing competitive advantages for system integrator companies in IT industry were proposed; the main factors of competitive advantages for system integrators have been identified. The necessity of taking industry factors into account when assessing the competitive advantages of these enterprises has been proposed and confirmed by the research results. Practical value. The applied value of the research lies in the possibility of applying the developed model and methodology to assess the competitive advantages of system integrators. The results of such an assessment can be used by system integrators to develop a competitive strategy and improve their competitive positions in the market. Customers (including enterprises in the mining and fuel & energy industries) can use evaluation elements when conducting procurement (tender) procedures for selection of contractors for the implementation of system integration projects. Also, the results of the study can be used for the analysis of the system integration market.

A Comprehensive Study of Datasets for Research Works in IoT Networks

Internet of Things is a trending subject in the field of Computer Science and Information Technology. When a research scholar tries to find a problem statement in the arena of IoT, he or she probably Google the phrase “Security Issues in Internet of Things”. On this day August 22, 2024, when we searched the Google with this phrase, we got about 48,40,00,000 results in 0.46 seconds. When we searched Google Scholar with the same phrase, we got about 40,70,000 results (0.52 sec). This shows that lakhs of researchers are toiling to find solutions for Security Issues in IoT. There is a new and trending way of research that is finding solutions for issues in IoT using Machine Learning and Deep Learning Models. ML and DL algorithms need large sets of Data to train and test the algorithms. This made us to take up a study on available Datasets for this research topic. When we made review of literature, in this arena of study, we found that researchers are working on only a few datasets, though numerous datasets are available freely on the internet for academic purposes. Hence in this paper we made a comprehensive study of Datasets available for research works in Internet of Things.

Got milk? Got cybersecurity risks! Unraveling ransomware threats in the German dairy industry

PurposeThis study aims to explore the vulnerabilities of the dairy industry to ransomware threats, focusing particularly on the upstream supply chain and applying routine activity theory (RAT) to understand the evolving dynamics of cybercrime in critical infrastructure sectors.Design/methodology/approachUtilizing expert interviews and network analysis, this research investigates the exploitation of complex supply chain vulnerabilities by motivated offenders. It delves into the intricate interplay between digital threats and physical supply continuity.FindingsThe study uncovers that ransomware threats transcend digital boundaries, manifesting in disruptions to physical operations and presenting significant risks to food security. It underscores the threat posed by the convergence of information technology (IT) and operational technology (OT), emphasizing the urgent need for heightened awareness and robust defenses against this substantial menace.Practical implicationsAddressing cyber vulnerabilities in critical sectors like dairy ensures not only the security of operations but also safeguards broader societal interests such as food security. Collaboration and proactive measures are essential to mitigate potential social and economic disruptions caused by cyber incidents.Originality/valueThis research fills a knowledge gap by shedding light on the nexus between cyber threats and supply chain resilience. It emphasizes the need for industries to adapt traditional defense mechanisms in the face of sophisticated digital adversaries.

Gen Z and Generative AI: Shaping the Future of Learning and Creativity

Thus, the appearance of the Generative Artificial Intelligence opened up a great turn in many areas, including education and creative industries. This paper seeks to understand the deep impact that Generative AI is going to have on learning and creating processes for the social context of Generation Z (Gen Z) students – born in digital culture. The work looks into the possibilities and challenges that Gen Z in collaboration with Generative AI leads to the future of learning and creativity. This paper is relevant as it offers some understanding of the ongoing changes in the education and creativity together with the escalating growth in technology. The nature of the association between the members of Generation Z and the Generative AI needs to be known by the educational stakeholders, policymakers, and business executives to leverage value from the existing and upcoming technologies together with dealing with possible negative impacts. The purpose of this study was to explore the nature and uses of Generative AI, and its effects on the learning and creativity of Gen Z, in addition to identifying the advantages, disadvantages, opportunities, and risks/partities’ concerns that are commensurate with the integration of this technology in teaching/learning and creative processes. To achieve the objectives of the study the following research methodology was used: The research used both a literature review and documentary research. The materials used included academic publications, Industry reports, books and other credible internet sources on Generative AI and its impact on the education and creativity of the Gen Z. The document analysis included policy papers, educational technology reports, case studies and white papers from academic and professional bodies as well as other industries that involve Generative AI. Several insights show that using Generative AI can positively impact learners’ experiences, engagement, and creativity. However, there was some controversy about the excessive usage of AI and claimed that because of it people may get worse at critical thinking. The following were noted to be major concerns; Ethical Issues: they included issues to do with bias in the algorithms as well as the right to privacy of data. Thus, the findings of this research point to a three-way settlement with respect to the use of Generative AI in education and creative industries. It underlines the guideline of how human creativity and critical thinking ought to be sustained, while using AI tools. Proposals include, the need to teach critical thinking alongside AI use, fostering ethical AI consciousness, surged AI education, appropriate non-ethnical AI data set, strong AI policies and pro positive AI inspires and creative constructive use. The research implications for future studies include studying the changes in the achievement of learning outcomes over a period of time, wherein Generative AI has been incorporated and understanding how this technology influences different learning styles and needs, the issues of ethical and privacy concern, the requirement of professional development to educators in relation to Generative AI and finally, the comparison information and communication technology for learning between different cultures. Related to that, further studies on the effectiveness of AI in approaches like collaborative learning, its potential on preparing learners for employment, and on the psychology of students would be helpful in informing the future advancement of Generative AI in school and particular creative areas.

A two-tier database architecture framework for combating cyber threats

The 21st century has witnessed a lot of advancements in science and technology. One may not be wrong to assert that the field of Information and Communications Technology (ICT) and its allied disciplines like Artificial Intelligence (AI) and Nanotechnology have taken the lead as we witness new developments in these areas year by year. The products and services we utilize and enjoy are evidence of the usefulness of this advancement in science and technology. It is worthy of note that the interest of many (both good and bad in the discipline of ICT), is being ignited by the fact that ICT finds its applicability virtually in every area of human endeavor. In this study, we propose a two tier database architecture that employs an Object-Oriented Analysis Design Methodology (OOADM) using the Unified Modelling Language (UML). The choice of this methodology is because we need to present every stage of the study from analysis to the design phases. With the help of the chosen methodology, we analyzed the existing frameworks, identified the weaknesses, and as a result, we further surveyed algorithms used for reliable data security. From the results obtained from the survey, we employed the SHA-256 algorithm because of its strength in data security, and the Argon2 hashing algorithm which is one of the best algorithms for securing database credentials. In the end, we provide an enhanced framework made up of the chosen algorithms and a two-dimensional database (2-DDb), which could be implemented to effectively combat attacks on important databases.

Exploring the mediating role of brand trust in the impact of digital marketing and online reviews on purchase decisions for beauty products: A case study on students in solo

The rapid development of information and communication technology has significantly altered the way consumers interact with brands. In the digital era, digital marketing has emerged as a primary strategy for companies to reach consumers and promote their products. The beauty industry, in particular, has undergone a major transformation, with digital marketing and online reviews playing crucial roles in influencing consumer purchasing decisions. This study focuses on exploring the mediating role of brand trust in the relationship between digital marketing, online reviews, and beauty product purchasing decisions among university students in Solo, Indonesia. The research aims to provide insights into how brand trust, as influenced by digital marketing and online reviews, impacts consumer behavior. The findings are expected to help beauty brands in enhancing their digital marketing strategies and improving brand trust among young consumers.

ВЛИЯНИЕ ЦИФРОВЫХ ТЕХНОЛОГИЙ НА ОБУЧЕНИЕ В МЕДИЦИНСКИХ ВУЗАХ: СОЦИОЛОГИЧЕСКИЕ АСПЕКТЫ И ВЛИЯНИЕ НА ЗДРАВООХРАНЕНИЕ

This article is dedicated to the study of the impact of digital technologies on the educational process in medical universities, with a focus on sociological aspects and their significance for the healthcare system. It examines how the use of digital tools and platforms changes students' approaches to studying medicine and shapes their perception of the role of technology in improving the quality of medical services and ensuring public health. The informational and educational environment transforms traditional teaching methods, providing new opportunities for updating curricula and creating conditions for the rapid exchange of information between students and educators. Digitalization of the educational process implies a change in the roles of all participants in the educational process. Students become researchers actively using information and communication technologies to acquire knowledge and practical skills. At the same time, educators assume the role of mentors, supporting students in their learning and possessing the necessary competencies in digital technologies. The article analyzes the most effective tools for facilitating interaction in the educational environment, such as virtual boards like Google Jamboard, Miro, and Padlet, which contribute to the development of critical thinking and presentation skills among students. Additionally, the article addresses the challenges faced by medical universities in the process of integrating digital technologies. Effective implementation of digitalization requires strategic planning and a comprehensive approach to updating educational programs, which will create a sustainable platform for the future professional growth of students. In conclusion, the authors emphasize that digital technologies, along with innovative teaching methods, significantly enhance the quality of education in medical universities. This, in turn, contributes to the training of highly qualified specialists capable of effectively working in modern healthcare conditions, ultimately having a positive impact on public health and the organization of healthcare as a whole.

Advancements in health information technology and their role in enhancing cancer care: Innovations in early detection, treatment, and data privacy

The rapid advancement of Health Information Technology (HIT) has revolutionized cancer care, introducing new capabilities in early detection, individualized treatment, and data security. This paper reviews the key HIT innovations that have reshaped oncology, including the widespread adoption of Electronic Health Records (EHRs), the use of artificial intelligence (AI) in diagnostic processes, and the application of telemedicine and predictive analytics to improve treatment planning. These technologies have enabled earlier and more accurate diagnoses, expanded access to care, and facilitated data-driven, personalized treatment strategies. In parallel, this review addresses the importance of safeguarding sensitive patient data, focusing on encryption, anonymization techniques, and the regulatory frameworks like HIPAA and GDPR that ensure data privacy. Finally, the paper discusses future directions for HIT, particularly the potential of AI-driven decision support systems, real-time data analytics, and privacy-enhancing algorithms to further advance cancer care, creating a more secure, efficient, and patient-centered healthcare system.

Analysis of mathematical methods for describing financial flows: dynamic modeling of an innovative company

Purpose. Development of a dynamic mathematical model of an innovative company operating in accordance with Ukrainian legislation, allowing for the analysis and adjustment of its financial activities. Methodology. When developing a model and description of financial flows, a factor analysis of the necessary indicators of the financial condition of the enterprise in question was carried out, which were used in the calculations of the presented mathematical modeling. A mathematical apparatus has been developed for calculating financial indicators depending on time. Using inductive, deductive and logical methods, an analysis of the financial situation for the year was carried out. Findings. The main methods and tools for describing financial flows have been analyzed. Mathematical modeling of the innovative company is carried out, which allows analyzing the costs of the enterprise and determining the size of its free funds. The calculation of financial indicators of the enterprise, which are demonstrated in the form of tables, is performed and the dynamics is shown in charts and graphs. All calculations were made on the basis of existing Ukrainian legislation using modern information technologies. Originality. A mathematical dynamic model of changes in financial flows at the enterprise has been developed and implemented. The proposed model takes into account various items of expenses and profits in accordance with the state legislation. Calculations allow for dynamic analysis and determination of the impact of various indicators on the financial condition of the enterprise, which allows for faster adoption and implementation of decisions in managing financial flows. This dynamic model is a convenient tool for any enterprise in Ukraine. Practical value. The results that were obtained during the study can become the basis for creating the necessary digital tools for researching, analyzing and adjusting the financial flows of a particular enterprise. Now methods are available that allow analyzing and describing financial flows more accurately and forecasting their changes in the future. The methodology presented allows the creation of dynamic models that can account for complex dependencies between different indicators and forecast the behavior of financial flows in real time. The financial model allows the simulation of cash flows of planned activities and the evaluation of financial planning in advance, taking into account the conducted research. It is straightforward to use and allows the analysis of different scenarios of business development, significantly reducing the time required.

The credentialism trap: are IT certifications overrated?

Purpose This paper aims to explore whether certifications are sufficient for comprehensively evaluating the IT sector, focusing on DevOps, as this branch has the widest range of certifications. It examines the limitations of relying solely on certifications and highlights the gap between certified knowledge and practical competence in real-world settings. Design/methodology/approach The study includes a survey of 72 certified DevOps professionals with varying years of experience to gather insights on the impact of certifications. It also reviews existing literature on the origins, psychological aspects and role of certifications in recruitment within the IT sector. Findings The findings indicate that while certifications enhance technical knowledge and boost confidence among IT professionals, they do not consistently lead to career advancements and sometimes do not adequately assess practical skills and soft skills essential for DevOps roles. The survey revealed that only a minority experienced promotions postcertification, highlighting a disconnect between certifications and career progression. Research limitations/implications The survey sample was limited to 72 respondents, which may not represent the entire DevOps community. Future research with a more extensive and diverse sample could provide more generalisable results and deeper insights into the impact of certifications across different contexts. Practical implications Organisations should consider certifications as one component of a candidate’s qualifications, alongside practical experience and soft skills. Professionals are encouraged to pursue certifications for skill validation and knowledge enhancement but should integrate them with practical application and continuous learning to ensure effectiveness in DevOps environments. Social implications An overemphasis on certifications can contribute to a “credentialist” culture, potentially undervaluing practical skills and leading to stress and burnout among professionals. A balanced approach that values both certified knowledge and experiential learning can promote a healthier professional environment and improve team collaboration. Originality/value This paper provides a nuanced examination of the role of certifications in evaluating DevOps skills by combining survey data with a literature review. It offers original insights into the limitations of certifications and emphasises the importance of balancing them with practical experience and soft skills in the IT industry.

Design and Implementation of Digital Twin Factory Synchronized in Real-Time Using MQTT

As information technology progresses, the need for digital transformation within the industrial sector has become increasingly apparent, and digital twin technology has emerged as a significant trend in manufacturing. Digital twins synchronize physical and digital environments, overcoming spatial and temporal limitations to create various added values that are unattainable in reality. This paper presents a model that integrates digital twin technology with production and operational technologies at manufacturing sites, enabling remote, centrally controlled manufacturing services that transcend physical constraints. Specifically, by utilizing Message Queuing Telemetry Transport (MQTT) for real-time synchronization, this approach ensures efficient and timely data transfer between physical and digital environments. While traditional approaches often encounter challenges due to high investment costs and design complexities, this paper proposes a cost-effective and practical solution that reflects actual factory conditions.

Videos in Short-Video Sharing Platforms as Sources of Information on Colorectal Polyps: Cross-Sectional Content Analysis Study.

Short videos have demonstrated huge potential in disseminating health information in recent years. However, to our knowledge, no study has examined information about colorectal polyps on short-video sharing platforms. This study aimed to analyze the content and quality of colorectal polyps-related videos on short-video sharing platforms. The terms "" (intestinal polyps) or "" (colonic polyps) or "" (rectal polyps) or "" (colorectal polyps) or "" (polyps of large intestine) were used to search in TikTok (ByteDance), WeChat (Tencent Holdings Limited), and Xiaohongshu (Xingyin Information Technology Limited) between May 26 and June 8, 2024, and then the top 100 videos for each search term on different platforms were included and recorded. The Journal of American Medical Association (JAMA) score, the Global Quality Scale (GQS), the modified DISCERN, and the Patient Education Materials Assessment Tool (PEMAT) were used to evaluate the content and quality of selected videos by 2 independent researchers. SPSS (version 22.0; IBM Corp) and GraphPad Prism (version 9.0; Dotmatics) were used for analyzing the data. Descriptive statistics were generated, and the differences between groups were compared. Spearman correlation analysis was used to evaluate the relationship between quantitative variables. A total of 816 eligible videos were included for further analysis, which mainly conveyed disease-related knowledge (n=635, 77.8%). Most videos were uploaded by physicians (n=709, 86.9%). These videos had an average JAMA score of 2.0 (SD 0.6), GQS score of 2.5 (SD 0.8), modified DISCERN score of 2.5 (SD 0.8), understandability of 80.4% (SD 15.6%), and actionability of 42.2% (SD 36.1%). Videos uploaded by news agencies were of higher quality and received more likes and comments (all P<.05). The number of collections and shares of videos about posttreatment caveats were more than those for other content (P=.03 and P=.006). There was a positive correlation between the number of likes, comments, collections, and shares (all P<.001). The duration and the number of fans were positively correlated with the quality of videos (all P<.05). There are numerous videos about colorectal polyps on short-video sharing platforms, but the reliability and quality of these videos are not good enough and need to be improved.

Needs Assessment for Primary Care for Best Practice Implementation: The CIRCE Joint Action

Abstract Introduction CIRCE is a Joint Action (JA) supporting the transfer of six best practices (BPs) to new primary care settings in Europe. High-quality needs assessment can set the foundation for strong planning and implementation of the CIRCE-JA best practices in these new primary care settings. Methods A needs assessment tool was developed based on the TO-REACH knowledge transfer framework and learnings from a scoping review of international knowledge transfer frameworks. The needs assessment provides structured tool for local sites to self-assess the alignment of the BP with local priorities, readiness of the local site to successfully implement the BP, the availability of necessary leadership, resources and partnerships, and an examination of barriers to local BP implementation and mitigation strategies. Results Twenty-six CIRCE-JA teams completed the needs assessments. Local teams identified the CIRCE-JA BPs were value-adding and aligned with local priorities. Cross-cutting barriers were identified which were common among the six CIRCE-JA best practices across five thematic areas: (1) provider level, (2) intervention level, (3) health system/policy level, (4) partnership and physical resources and (5) information technology. The needs assessment supported primary care sites with a structured approach to planning for transfer of BPs to their local setting that is based on established international best practices and knowledge transfer frameworks including early identification of barriers and mitigating strategies. Conclusions The needs assessment has supported teams with conducting a self-assessment and informing initial planning for adoption of the BP in their local primary care practice. Given the importance of the local needs assessment to high quality implementation of BP the CIRCE-JA experience with local needs assessment may provide learnings for future BP transfer initiatives. Key messages • Local needs assessment supports the transfer of best practices to primary care settings, which is a critical component of service transformation during the post-COVID-19 period. • For successful transfer of best practices in primary care, it is vital to give to examine such as provider capacity, available human resources, health policy, and information technology.

Unlocking the Work–Life Equation: Critical Analysis of Telework Factors for Optimal Balance in the IT/ITES Sector

In the contemporary corporate landscape, the notions of telework, job engagement and work–life balance have emerged as the most compelling concepts. These concepts have been found to significantly enhance employee performance and provide organizations with a strategic competitive edge. Recognizing the relevance of these considerations to the working world, the current study addresses the gap in the literature on telework and work–life balance in the Indian context. The present study makes a valuable contribution to the existing literature on flexible work arrangements, including flexible scheduling, family obligations and job commitment. The study aims to fill a gap in the existing literature by exploring the relationship between telework and work–life balance in the Indian context. While some research is available on telework and work–life balance, there is a lack of specific studies focusing on the Indian context. This study recognizes the importance of understanding the unique cultural and organizational factors that may influence telework and work–life balance in India. Also, the information technology (IT) and IT-enabled services (ITES) industries are well-positioned to maintain their use of telework as a competitive advantage as the globe gets past the pandemic’s initial effects. These industries can strengthen their competitiveness, spur innovation and guarantee long-term success in a global economy driven by digitalization by incorporating remote labour into their fundamental operational plans. IT and ITES businesses have a chance to reimagine the future of work in the post-COVID age by establishing new benchmarks for adaptability, productivity and resilience. This analytical study adopts a cross-sectional time horizon and focuses on individual employees within the IT/ITES sector. The study employed a survey methodology, utilizing a questionnaire developed by the author to collect data. A total of 217 employees participated in the study, with a convenient sampling technique being utilized to ensure a representative sample. The data were then analyzed further with an exploratory factor analysis (EFA). The study identified telework, work facilitator, working situations and job engagement as significant constructs in predicting work–life balance. Implications for research and practice are discussed. This study provides academics with useful insights for theory formation and verification of telework, work–life balance and job engagement. Four key factors were identified through the utilization of EFA: Telework, work facilitators, working situations and job engagement. The aforementioned factors offer significant insights into the fundamental dimensions that influence the work–life balance within this industry. The present study incorporates diverse work arrangements, such as adaptable working hours and telecommuting alternatives, alongside conducive organizational cultures and policies that prioritize family support. The identification of work facilitators as a distinct factor underscores the significance of organizational support in establishing an environment that empowers workers to effectively harmonize their professional and personal obligations. The present study’s results indicate that gender may not be a decisive factor in shaping telework, work facilitators, working situations or job engagement in the IT/ITES industry, since there is no discernible connection between gender and these variables. Because the study was restricted to the IT/ITES industry, its conclusions might not be easily applied to other industries. Additionally, as the investigation relied on self-reported data, it may have been impacted by biases and a tendency to behave in a way that appears appealing to others. Prospective research endeavours could investigate the relationship between gender and work–life balance components in a variety of contexts and examine additional demographic characteristics that may influence these elements. The study’s findings could potentially provide valuable information for both employers and employees in the IT/ITES sector. Employers may gain insights into the factors that contribute to work–life balance disparities, enabling them to implement policies and practices that support healthier work–life integration for their employees. Employees, on the other hand, may benefit from a better understanding of how their demographic characteristics intersect with work–life balance factors, allowing them to make informed decisions about their career and personal life. This study captures the potential of telework in emerging economies for increasing job engagement. A unique and modern insight into how telework affects the technology space is what makes the work stand out from the static framework in the literature. How telework and its variables affect work–life balance and job engagement of the employees and how the organizations have a positive impact on productivity, is the novel factor in the study.