AI Implementation In MSME Industrial Sectors

International Journal of Innovation Scientific Research and Review, 2025

This review paper explores the evolving landscape of digital transformation by synthesizing recent research across multiple domains, including artificial intelligence, cybersecurity, entrepreneurship, online learning, and financial resilience. The study highlights the paradigm shift from traditional IT frameworks to digital-centric approaches, emphasizing the need for new theoretical perspectives. Key insights include the role of digitalization in reshaping innovation, strategy, and business models, as well as the implications of Web 3.0, block chain, and Industry 4.0 for sustainable competitive advantage. Additionally, this review examines the transformative impact of technological advancements on logistics, cybersecurity, and enterprise architecture, addressing both opportunities and challenges in the digital economy. By integrating empirical and conceptual studies, the paper provides a comprehensive understanding of how digital transformation influences business practices, education, and policy-making. The findings underscore the importance of adaptive strategies, interdisciplinary research, and proactive regulatory frameworks to navigate the complexities of the digital era. This review contributes to cumulative knowledge development by mapping critical research trajectories and identifying future directions for digital transformation scholarship.

2024

The integration of Artificial Intelligence (AI) in e-commerce has become a driving force in transforming business performance across various dimensions. This study examines the impact of AIpowered innovations on customer satisfaction, operational efficiency, and security in e-commerce platforms. A descriptive research design was employed, incorporating both quantitative and qualitative methods to assess the influence of AI on business performance. The study targeted a sample of 300 respondents, consisting of 200 e-commerce professionals and 100 regular customers from Bengaluru and Chennai, South India. A mixed sampling technique combining purposive and convenience sampling was applied to capture both operational and consumer perspectives. The results reveal significant findings across all three objectives of the study. First, AI-driven personalization was found to have a substantial positive impact on both customer satisfaction and loyalty. High mean scores for satisfaction and loyalty, coupled with strong regression results, demonstrate that personalized recommendations enhance customer engagement and retention. Second, AI-powered automation tools significantly improve operational efficiency and lead to cost reductions. The regression analysis indicated that AI-driven automation explains a significant portion of the improvements in both efficiency and cost reduction, making it a crucial element for optimizing business performance. Finally, AI-enabled fraud detection systems were shown to enhance security and build customer trust. Positive regression coefficients confirm that these systems increase security levels, thereby fostering higher levels of trust in e-commerce platforms. The high R² values for both security and trust further underscore AI's critical role in shaping the future of e-commerce. This study highlights the transformative potential of AI innovations in e-commerce, demonstrating that they are not only improving customer experiences but also optimizing operational processes and enhancing security, all of which contribute to the overall business performance in the e-commerce sector.

The service operation is quite important to run a business and deliver customer service up to the expectation. This paper is looking at IT services and the use of artificial intelligence (AI) with machine learning (ML). The authors figured out that the service operation model is disturbed by the use of AI and ML. This paper was looking at the possible extent of disruption in specific to IT service but it is quite relevant to other service industries as well. The service operating model getting changed by disruptive technology (AI and ML) which replace the human drastically. The service operating model will be changed to an AI-led human supervised model. IT services and even service platforms will be changed by embedding AI and ML in the platform. IT capital replaces humans to mitigate skill demand in developed economies. Our study cautioning service providers and even enterprises to get prepared for this drastic disruption to gain early competitiveness in the marketplace. AI and ML together with an automation engine or platform is the future for the service industry and industry to get prepared for this mainstream alignment quickly.

المجلة العلمیة للدراسات والبحوث المالیة والإداریة‎

The Third Concept, 2022

In recent years, Artificial Intelligence (AI) has evolved into one of the most powerful technologies in tech history for bringing machines and humans together. The expanding use of AI techniques in our daily lives has made it a priority for businesses to incorporate AI in their business operations. The present study intends to encourage the organised retailers to adopt and integrate AI tools and techniques in their business activities to survive in a competitive business world, by analysing the role of the adoption of AI techniques in improving their business performance. In this regard, the study used a questionnaire-based survey method to collect data from the organised retailers in the state of Uttarakhand that have adopted AI techniques in their business operations. The results of the study revealed a significant positive impact of the adoption of AI by the organised retail businesses on their performance by providing manifold benefits., such as reduced costs, high level of return on sales and investment, accurate results, speedier tasks, enhanced productivity, improved quality, increased market share and a higher level of customer satisfaction and loyalty. The study reveals that despite the challenges that organisations in the retail industry encounter in implementing AI techniques in their business processes, such as unemployment of unskilled staff, huge infrastructure cost in AI implementation, and the benefits they get are still significant.

International Journal of Emerging Markets, 2022

Purpose-The pressure to survive in a highly competitive market by using artificial intelligence (AI) has further demonstrated the need for automation in business operations during a crisis, such as COVID-19. Prior research finds managers' mixed perceptions about the use of technology in business, which underscores the need to better understand their perceptions of adopting AI for automation in business operations during COVID-19. Based on social exchange theory, the authors investigated managers' perceptions of using AI in business for effective operations during the COVID-19 pandemic. Design/methodology/approach-This study collected data through a survey conducted in China (N 5 429) and ran structural equation modeling to examine the proposed research model and structural relationships using Smart PLS software. Findings-The results show that using AI in supply chain management, inventory management, business models, and budgeting are positively associated with managers' satisfaction. Further, the relationship between managers' satisfaction and effective business operations was found to be positively significant. In addition, the findings suggest that top management support and the working environment have moderating effects on the relationship between managers' satisfaction and effective business operations. Practical implications-The results of this study can guide firms to adopt an AI usage policy and execution strategy, according to managers' perceptions and psychological responses to AI. Social implications-The study can be used to manage the behavior of managers within organizations. This will ultimately improve society's perception of the employment of AI in business operations. Originality/value-The study's outcomes provide valuable insights into business management and information systems with AI application as a business response to any crisis in the future.

Human Technology

The COVID-19 pandemic has impacted the world economy, and the restrictions have shaken business models. E-commerce has skyrocketed as the only way to purchase products and AI has received closer consideration as social distancing has become imperative. This research aims to find whether the COVID-19 has translated into an opportunity for the use of AI by companies. A survey incorporating consumers and companies was conducted to analyse the positioning of consumers regarding the use of AI, as well as the perception of companies regarding their possible use of AI. It was concluded that due to COVID-19 there was an increase in the relevance that companies give to AI, the main drivers being the companies' views on AI and the benefits from its use. Regarding consumer behaviour, consumers are more receptive to AI use, favouring a fully automated experience, with half of the sample preferring to buy online.

2019

Expected effects of the 4th Industrial Revolution has been attracting increasing attention of researchers in economics, sociology, and organization studies. A critical combination of information technology, biotechnology, and robotics seems to be the most important driving force for the revolutionary changes around and ahead of us. Although less implied by the umbrella term 'industry 4.0', digital transformation and automation are also substantial sources of competitive advantage for companies in the business services sector. Business service centers (BSCs) attract more and more business processes with increasing complexity and geographical coverage. As efficiency and the quality of the service are key, the implementation of advanced technologies in the business services sector drives the future growth and also renews the strategic positions of these companies. While it is still uncertain whether the 'industry 4.0' is a driver or an obstacle of outsourcing and shared services activities in the future, intelligent business services operation will be a vital part in the supply chains. In our research, we explored current tendencies and future expectations for digital transformation in BSCs in Hungary. We investigated the following questions. Which advanced technologies are the most prevalent in BSCs? What are the motivations for and expected gains from automation? How do digitalization and automation affect outsourcing decisions? What tasks and processes get automated most frequently? What is the general attitude of employees towards automation? How managers of BSCs attempt to shape and influence employee attitudes? We carried out twenty interviews with senior technology experts and executives in four Hungarian based BSCs of multinational parent companies to examine individual transformation projects. We also used quantitative data from large-scale surveys on the sector to get an overview of general practices. We investigated the use of advanced technologies like robotic process automation, predictive analytics, chatbots, and cognitive intelligence. We found that BSCs had mostly automated massively repeated processes and that this automation had liberated employees for more creative tasks. Consequences of this transition are threefold: (1) BSCs need to reinforce their position as business partners of their global parents, (2) creative tasks are more attractive for prospective and current employees in a labor market characterized by a shortage of suitable workforce, (3) employees usually do not fear of the possibility of job loss due to automation and digital transformation.

Adeleke Doyinsola , 2024

The paper explores the transformative impact of emerging disruptive technologies on the digital economy, particularly focusing on artificial intelligence (AI). Beginning with the evolution of the digital economy, the study highlights the pivotal role of interconnected intelligence and technological devices. The narrative delves into the widespread influence of AI, machine learning, cloud computing, big data, and virtual reality, emphasizing their impact on the corporate environment. The paper asserts that AI, characterized by machine learning and neural networks, is becoming an integral part of human interaction, influencing societal and business dynamics. Notably, the financial industry experiences a significant disruption due to AI, ushering in new business models and ideas. The study emphasizes AI's potential to reshape economic foundations for small and medium-sized firms (SMEs), particularly in healthcare and retail sectors. However, it acknowledges SMEs' vulnerability to challenges, such as those posed by the COVID-19 pandemic, as they strive to leverage AI for competitive advantage. Overall, the abstract provides a comprehensive overview of the evolving landscape driven by disruptive technologies, with a specific focus on AI's multifaceted implications.