This study aims to identify a comprehensive list of challenges and empirically evaluate their impact on Industry 5.0 adoption, particularly in developing countries in Indian manufacturing firms. Challenges were classified into four significant categories: human, environmental, legal and ethical, and financial through an extensive literature review conducted and experts’ inputs. Multi-criteria decision-making (MCDM) is a method for analyzing complex issues by assessing multiple alternatives based on specific criteria. The analytic hierarchy Process (AHP) aids in selecting suitable options, while the analytical network processes (ANP) technique determines relevant criteria. A sensitivity analysis was carried out to validate the research findings. The most preeminent challenges were identified as human critical thinking, human-machine teams, incorporation of ethics, investment in Industry 5.0 technologies, human well-being perspective, over-dependency on technology, and personalization and hyper-customization 5.0, respectively, in the adoption of Industry 5.0. The comprehensive challenges proposed in the study will assist decision-makers, practitioners, and managers in determining fair benchmarking strategies to precipitate Industry 5.0. This research helps to gauge manufacturing firms’ readiness index to adopt Industry 5.0, provides a distinct perspective, and foregrounds the significance of research to assist the industry in its long-term to anticipate Production 6.0.

Purpose: The banking sector is more revolutionized than ever, with advanced technologies driving a seismic change in the financial industry. This study aims to understand how digital technologies influence banking sector employees and their perception of working in an era of Banking 4.0. Design/methodology/approach: This study incorporated qualitative analysis to gain different insights from diverse respondents from banking industries. A purposive sampling method was adopted, and semistructured interviews were conducted, taking a sample of 72 respondents. All the transcripts were then analyzed using NVivo. Findings: The findings focus on challenges related to understanding technology phenomena, managing changes, infrastructure, skills, competitiveness and regulatory mechanisms. This is further followed by the favorable impact of Banking 4.0 on employees and future avenues, such as innovation in financial services, work productivity, career opportunities and change management, banking 4.0 and banking 5.0, and banking 4.0 management strategies identified as the significant findings. Practical implications: This study provides guidelines for Banking 4.0 provision strategy and conceptual reference toward the development of Banking 4.0. It also supports the Enhanced Access and Service Excellence 4.0 program, driven by the Indian Bank’s Association, to focus more on digitization, automation and data analytics. Originality/value: The novelty of this research provides a qualitative hierarchy of significant challenges, favorable impacts and future research avenues of Banking 4.0 in the Indian banking sector.

This study presents a novel, thorough approach for central banks to identify and rate digital currency adoption obstacles. The study uses AHP and ANP to identify and prioritise CBDC adoption issues in two phases. The biggest hurdles identified are economic, technical, and financial.

Purpose: The purpose of the paper is to identify existing and common critical success factors adapted for implementing Industry 4.0 technology, which is essential to survive in the vulnerability, uncertainty, complexity and ambiguity (VUCA) environment by using systematic literature review (SLR) methodology with the preferred reporting items for systematic reviews and meta-analyses (PRISMA) and content analysis strategy. Design/methodology/approach: The SLR methodology with the PRISMA and content analysis strategy adapted to review 74 papers in peer-reviewed academic journals and industry reports published from 2014 to 2021. Findings: Based on a review of relevant literature, two theoretical contributions have been added to the literature on Industry 4.0. First, this review reveals that 35 (47%) out of total 74 studies assessing the Industry 4.0 implementation in the manufacturing industry, the service industry can also create value through Industry 4.0 implementation, with a lot of potential to increase productivity, which literature has not explicitly focused on. Second, this paper proposes the 12 most common critical factors (training and development, organizational culture, top management support, organizational structure, innovation capability, technological infrastructure, security system, standardization of procedures, financial resources, communication and cooperation, change management and governance) that can be considered as the significant critical factors for successful implementation of Industry 4.0. Originality/value: The novelty part related to methodological perspective by using the PRISMA approach for systematic review, which cannot be found extensively in existing literature in the context of the Industry 4.0 phenomenon to analyze critical factors.

Purpose: Significant developments in the service sector have been brought about by Industry 4.0. Automated digital technologies make it possible to upgrade existing services and develop modern industrial services. This study prioritizes critical factors for adopting Industry 4.0 in the Indian service industries. Design/methodology/approach: The author identified four criteria and fifteen significant factors from the relevant literature that have been corroborated by industry experts. Models are then developed by the analytical hierarchy process (AHP) and analytical network process (ANP) approach to ascertain the significant factors for adopting Industry 4.0 in service industries. Further, sensitivity analysis has been conducted to determine the sensitivities of the rank of criteria and sub-factors to corroborate the results. Findings: The outcome reveals the top significant criteria as organizational criteria (0.5019) and innovation criteria (0.3081). This study prioritizes six significant factors information technology (IT) specialization, digital decentralization of all departments, organizational size, smart services through customer data, top management support and Industry 4.0 infrastructure in the transition toward Industry 4.0 in the service industries. Practical implications: The potential factors identified in this study will assist managers in determining strategies to effectively manage the Industry 4.0 transition by concentrating on top priorities when leveraging Industry 4.0. The significance of organizational and innovation criteria given more weight will lay the groundwork for future Industry 4.0 implementation guidelines in service industries. Originality/value: Our research is novel since, to our knowledge, no previous study has investigated the potential critical factors from organizational, environmental, innovation and cost dimensions. Thus, the potential critical factors identified are the contributions of this study.