Forthcoming and Online First Articles

International Journal of Business and Systems Research

International Journal of Business and Systems Research (IJBSR)

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 Articles will not be published until the final proofs are validated by their authors.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 Business and Systems Research (9 papers in press)

Regular Issues

  • Employee’s adoption in digital technologies: role of employee competence and readiness   Order a copy of this article
    by S. Vijayarani , M. Sowmiya, M. Harish, B. Premkumar 
    Abstract: Employee digital technology readiness, competence, perceived work meaningfulness, and active personality are examined in the context of organisational digital transformation. The goal is to understand how these factors combine to improve digital employee performance and adaptability. Based on employee digital technology readiness and competence literature, the study provides a conceptual framework that examines how digital readiness affects employee competence and work meaningfulness, modulated by active personality qualities. Following Moreno, this study surveyed work-place digital technology users online. Qualtrics used independent expert opinions to build and distribute the survey for clarity and readability. Literature-based instrument data was analysed using SPSS and structural equation modelling. SEM revealed correlations and mediation effects between latent variables, exposing employee preparedness, competence, and job results. Data structural route analysis reveals several critical conclusions. First, digital technology preparedness boosts employee skills and job satisfaction. This shows that tech-savvy workers are more engaged and skilled. Second, proactive employees are more likely to adopt technology and find significance in their work, as their active personalities strengthened the relationship between digital preparedness and employment meaningfulness. Meaningful employment improves employee competence, showing engaged workers learn and perform well.
    Keywords: digital technology readiness; employee competence; meaningfulness of work; active personality; organisational digital transformation; job satisfaction; skill development.
    DOI: 10.1504/IJBSR.2025.10070467
     
  • Role of innovation and trust in the formation and success of strategic alliances in technology sectors   Order a copy of this article
    by Sunil Mishra, Richa Sharma, Vimla Vimla, Haldhar Sharma, Manpreet Kaur Bhatia 
    Abstract: Strategic alliances are highly essential in the technology sector with regard to competitive advantages. The paper explores how innovation and trust spur the formation and success of those alliances. The fast-paced progress needed in technology requires constant adaptation, so businesses seek alliances that add scope to their operations. Innovation encourages joint research and product development, while trust ensures commitment, uninhibited information sharing, and common goals. A mixed-methods approach was used in the method of analysis, where the tools of Python, IBM SPSS, and MS Excel were applied to analyze data quantitatively alongside qualitative industry expert insights. The findings indicate that alliances based on both trust and innovation yield better knowledge-sharing, market positioning, and immunity to competition. High trust correlates with output innovation, demonstrating that trust facilitates effective collaboration. This study shows that trust and creativity are crucial to alliance development and provides a framework for practitioners to build successful collaborations.
    Keywords: strategic alliances; innovation; trust; technology sector; collaboration; research and development; R&D; market positioning; knowledge transfer.
    DOI: 10.1504/IJBSR.2025.10070559
     
  • Effectiveness of experiential business models marketing in building customer engagement   Order a copy of this article
    by M.Sivakoti Reddy , Ashutosh Singh, M. Jagadish Kumar, Rameshwaran Byloppilly, Krishna B. Koppa 
    Abstract: This study discusses how experiential marketing enables brands to develop an engagement strategy that can deepen emotional connections, increase loyalty, and lead to advocacy instead of mere advertising through transactive experience. This article reviews a literature study and case studies to establish whether experiential marketing elevates customer engagement industry-wide. Using 470 data points, engagement, metrics-emotional connection, purchase intent, and brand loyalty-are considered for a closer view. The research approach involves qualitative interviews and quantitative business surveys using experiential strategies. The analytical tools used for the research outcome are Python, which is used for data visualisation; SPSS, which is used for survey analysis; ANOVA, which is used for comparing metrics; and Mathematica, which is used for calculations. This paper shows that experiential marketing significantly influences brand loyalty, purchase intent, and emotional connection. Additionally, sensory marketing, brand activities, and product testing positively enhance the value of brands. It can be concluded that experiential marketing is beneficial in competitive markets; however, this has to be adapted according to customers’ changing needs, with practical implications for long-term customer engagement.
    Keywords: experiential marketing; customer engagement; sensory marketing; brand loyalty; interactive content; emotional connection; customer participation; marketing strategies.
    DOI: 10.1504/IJBSR.2025.10070734
     
  • Non-financial information as a mediator in the link between accounting information systems and decision-making outcomes in SMEs: a structural equation modelling study   Order a copy of this article
    by Priyanka Koundal, Minie Bhalla, Manpreet Kailay 
    Abstract: The study analyses the influence of non-financial information as a mediator between the relationship of accounting information systems (AIS) and decision-making outcomes of SMEs in a rapidly changing business environment. It evaluates that AIS provides non-financial information that impacts SMEs’ decision-making and non-financial performance. The study used quantitative methods and descriptive analysis to gather data on AIS implementation in SMEs, testing it with 217 valid responses from proprietors, managers, and accountants and using the SEM-PLS statistical analysis technique. Implementing an AIS in SMEs has been found to positively impact their decision-making success and non-financial performance, as it provides non-financial information about business organisations, leading to improved organisational performance. This study is the first to examine the influence of AIS on SME decision-making and organisational non-financial performance, highlighting the role of non-financial information as a mediator. Research offers valuable insights for policymakers in SMEs to improve the transparency of accounting records for their stakeholders through AIS.
    Keywords: quality of AIS; AIS; SMEs; non-financial information; organisational non-financial performance; decision making.
    DOI: 10.1504/IJBSR.2025.10071211
     
  • Cloud services adoption and its impact on small and medium enterprises in the Czech Republic   Order a copy of this article
    by Ladislav Beranek, Jiri Homan, Jan Fesl, Michal Konopa 
    Abstract: In the literature focused on information technology, cloud computing services are referred to as solutions for efficiently acquiring the latest technologies for use in companies with the possibility of cost optimisation. This study focuses on how small and medium-sized enterprises (SMEs) in the Czech Republic accept and use cloud computing services. Small and medium-sized enterprises are companies with a low budget and limited human resources. This study confirmed that it is advantageous for them to use cloud computing services. Their usage can reduce costs and enable them to respond to changes in the business environment by using technologies that would otherwise be unavailable to them. Questionnaires were addressed to respondents (owners or top managers) to obtain data on what influences small and medium-sized enterprises to adopt certain IT services in the form of cloud computing. The results of the data analysis showed that factors such as cost savings, relative advantage, and especially top management support have a decisive influence on the adoption of cloud computing for small and medium-sized enterprises in the Czech Republic. The interpretations and implications of the findings, as well as future research directions, are discussed in this paper.
    Keywords: cloud computing; small and medium enterprises; cloud computing adoption; performance; structural equation model; Czech Republic.
    DOI: 10.1504/IJBSR.2025.10071776
     
  • Harnessing big data and artificial intelligence for sustainability: insights into social, environmental, and economic development using UTAUT model   Order a copy of this article
    by Xiaoyu Wu, Ayesha Zaheer Abbasi, Wasim Ahmad 
    Abstract: Big data and artificial intelligence are both vital for sustainable development (SD) that enables smarter resource management, optimising energy use, and improving the decision-making process of the organisations. Drawing on UTAUT model, the study attempts to explore the connections between big data (BD), artificial intelligence (AI), and three aspects of SD, i.e., social development (SoD), economic development (EcD), as well as environmental development (EnD). The findings confirmed a positive connection between BD and SD in terms of SoD, EcD, and EnD perspectives of sustainable development. Second, a positive tie among AI and SD in terms of SoD, EcD, and EnD perspective was also found, respectively. The study augments the importance of AI and big data showing insights into both capabilities with respect to the sustainability of the business. Besides, the study reports many applications which could be considered by concerned management.
    Keywords: big data analytics; artificial intelligence; sustainable development; UTAUT model; social development; environmental development; economic development.
    DOI: 10.1504/IJBSR.2026.10071939
     
  • Does ESG performance influence the financial outcomes of fortune 500 companies in India? Empirical evidence   Order a copy of this article
    by Stuti Gautam, Hari Prapan Sharma 
    Abstract: This study examines the influence of Environmental, Social, and Governance (ESG) performance on financial metrics, specifically Return on Investment (ROI) and Return on Equity (ROE), with internal control systems (ICS) serving as a mediating variable. The descriptive and cross-sectional investigation concentrates on Fortune 500 corporations in India. Data were acquired through a survey comprising 23 adapted and modified scale items that evaluate six pivotal variables linked to ESG performance and financial metrics. The sample comprised 566 professionals, including chartered accountants, finance managers, and accountants, who were selected via purposive sampling. The results indicate that Environmental, Social, and Governance Scores positively and statistically significantly affect ESG performance. Furthermore, ESG performance significantly impacts ICS, ROI, and ROE. This research emphasises the essential function of effective internal control systems in augmenting the financial outcomes associated with robust ESG performance within Indian Fortune 500 firms.
    Keywords: ESG performance; financial outcomes; internal control system; return on investment; ROI: return on equity; ROE.
    DOI: 10.1504/IJBSR.2026.10072271
     
  • How did the COVID-19 pandemic affect the information flows in cryptocurrency market?   Order a copy of this article
    by Thi Tuan Anh Tran, Phuong Nam Truong 
    Abstract: This study employs transfer entropy to analyze information flows among eight cryptocurrencies from January 1st, 2018, to August 25th, 2023. It reveals that the COVID-19 pandemic and the LUNA-UST collapse significantly influenced how these assets transmit and receive information. Following the pandemic, the results suggest a decrease in information exchange, particularly for Dogecoin and Bitcoin during the post-LUNA-UST collapse period. Specifically, Bitcoin demonstrates a moderate and consistent influence, while Tron emerges as the most impactful entity across all periods. Pre-COVID, all entities actively exchanged information, with Dogecoin being the most dynamic currency. The pandemic significantly affected the information dynamics of Ethereum and Litecoin, while Cardano and Tron played key roles in dissemination. Ripple experienced marginal impacts, and Binance Coin remained largely unchanged. In the post-LUNA-UST collapse period, some entities exhibited reduced information flow. Dogecoin was notably more affected than security tokens, suggesting heightened investor caution after the crisis.
    Keywords: cryptocurrencies; COVID-19 pandemic; LUNA-UST collapse; transfer entropy.
    DOI: 10.1504/IJBSR.2025.10072272
     
  • Digital transformation that impacts work-life balance and job, life and career satisfaction in female faculties from the digital era   Order a copy of this article
    by Emily Maria K. Jose, Bijay Prasad Kushwaha, Bhagwati Prasad Chaudhary, Ambu Sharma 
    Abstract: This study explores the nuanced effects of digital transformation on female faculty in HEIs, emphasising its implications for their professional and personal well-being. Drawing on the job demand-resource (JD-R) theory, the research investigates how digital transformation influences WLB, job satisfaction, life satisfaction, and career satisfaction among female faculty members. It highlights female academics’ complexities, balancing teaching, research, administrative duties, and personal responsibilities amidst technological advancements. The female faculty of HEIs includes teaching staff, lecturers, research associates, junior faculty, assistant professors, associate professors, and professors. The study adopted simple random sampling methods and instruments from various authors. The study recommends that HEIs prioritise supportive policies, technical training, and a conducive work environment to mitigate the negative impacts of digital transformation on female faculty. Insights from this research contribute to enhancing understanding of gender equity among faculties and inform practical strategies for optimising the integration of digital technologies in educational settings.
    Keywords: career satisfaction; digital transformation; DT; female academic; higher educational institution; work-life balance; WLB.
    DOI: 10.1504/IJBSR.2026.10072606