IMPACT OF INDUSTRY 6.0 ON MSME ENTREPRENEUR'S PERFORMANCE AND ENTREPRENEUR'S EMOTIONAL INTELLIGENCE IN THE SERVICE INDUSTRY IN INDIA

Objective: The main aim of this paper is to categorize the different contributions to the transformation in robotics in the form of Digital twin, automation, and MSME entrepreneurs' emotional intelligence and their performance in the service industry. Theoretical framework: The first case is, Industry 6.0 would achieve Entrepreneurs' performance (EP) through complete autonomy through implementing full robotics. The second case is Emotional Intelligence (EI) made industry 6.0 to achieve positive performance for the whole period. Method: Based on the extensive literature review (between 2012 and 2022) and study through Scopus journals, concept studies, and case studies of Industry 6.0 predecessors and Original Equipment Manufacturers (OEMs) in the market, this paper highlights the present scenario of autonomous robots. Results and conclusion: The first point summarizes the outcome of the categorical literature review and highlights the novelty of the findings. The second point highlights the type of robots used to make this happen for Industry 6.0. Implications of the research: Only some service industries started utilizing autonomous robots and collaborative robots to fulfill every day operations performed by them with human mind management for attaining the complete autonomy of automation and robotics in each service industry in India. However, many things could be improved to implement this. Originality


INTRODUCTION
Indian industry is aggressively growing and moving towards digital twin and complete automation to increase its production volume, accuracy, and safety. Indian manufacturing and service industries implement automation and robotics through Artificial Intelligence(AI), Machine learning methodologies(ML), Augmented & Virtual Reality(AVR), Industrial Internet of Things(IIoT), Digital business transformation, Digital Twin(DT), Block chain technology, Cloud computing services and achieves productivity improvement, space reduction and complete remotely monitored and controlled (RM &C). According to Chourasia, et al., (2022) and Moller, D. P. F., et al.,(2022), Industries have to work with the speed of light to conquer these advanced technologies, and machines are connected and communicate with each other to ultimately make decisions, operate independently, or cooperate with humans in a customeroriented production environment. According to Xun Xu, et al., (2021), they found that other predecessors, Industry 4.0 is technology-driven, Industry 5.0 is value driven, and Industry 6.0, where everyday operations are performed daily by robots and managed by human minds. MSME entrepreneurs' emotional intelligence to understand the current requirements latest technologies to take care of green and brown fields for implementing complete automation and robotics. Based on the extensive literature review and study through Scopus journals, concept studies, and case studies of Industry 6.0 predecessors and Original Equipment Manufacturers(OEMs) in the market, this paper highlights the present scenario of autonomous robots. Researchers provided recommendations for the government, MSMEs, OEMs, and future research requirements to fulfill Industry 6.0 in the service industry. The main aim of this paper is to categorize the different contributions to the transformation in robotics in the form of Digital twin, automation, and MSME entrepreneurs' emotional intelligence and their performance in the service industry.

Industry 6.0
Over the years, the industrial revolution happened in each service industry through human intervention in everyday operations. Researchers found in Industry 6.0 that human intervention is gradually minimized and fulfils complete automation and autonomous robots in the service industry. Automation in the service industry serves partial intervention with human interface either in the field continuously or intermittently through Industry 4.0 and Industry 5.0. According to Aboul Ella Hassanien, et al. (2022), they have explored that Artificial intelligence as a tool to resolve thermal behaviour issues in disk brake systems, Big data, IIoTs, and blockchain technology applications in automobile, healthcare, and communication sectors. According to Akundi, A.;Praveen Kumar Reddy Maddikunta,et al.,(2022), they have observed that in Industry 5.0 that to facilitate repetitive tasks with the help of applications, including Artificial Intelligence and machine learning technologies, parallelly assist humans for cognitive support. According to Bali, V., et al (2021), disruptive technologies need to be extensively utilized by OEMs and clients to fulfil automation, cyberspace, and digitization verticals within everyday industry life based on researchers. According to Chourasia, et al., (2022), Autonomous robots perform tasks and operate self-reliantly without the help of human control or involvement. According to Doyle-Kent, M., & Kopacek, P. (2020) and Zizic, M.C.;, they have observed that the advent of robotics and automation in previous industrial revolutions brought about paradigm shifts in the manufacturing and service industry worldwide. According to Duggal, et al., (2022), the era of Industry 6.0 will be one of renewable energy, total machine independence, interplanetary resource gathering and manufacturing, aerial manufacturing platforms, anatomical enhancements, and quantum control. According to Faruqi, Umar. (2019) and Resul Kurt, (2019), they have expressed that at the same time, implementing these new technologies for super bright society to make life easier, humans and human aspects to be considered. According to Longo, F., (2020), they have proposed that a value-sensitive design approach to illustrate how technologies enable human 4 and machine symbiosis in future factories. According to Nahavandi, S. (2019), Robots are becoming very important as they can now be coupled with the human mind using brain-machine interfaces and advances in artificial intelligence. Researchers found a solid necessity to increase productivity and simultaneously not remove human workers, which is a challenge in the manufacturing and service industry. Based on the literature study, Researchers proposed the conceptual model (See Fig-1).

METHODOLOGY
Researchers have collected multiple case studies and empirical papers to comprehensively examine the subject and its areas. The research method used for this study is literature research focusing mainly on service industries across India. The main aim of this paper is to categorize the different contributions to the transformation in robotics in the form of Digital twin, automation, and MSME entrepreneurs' emotional intelligence and their performance in the service industry in India.

Automation and Robotics
Accordingly to Asea Brown Boveri(ABB) (2022), they are one of the pioneers in automation and OEM service provider who gives robots, Autonomous mobile robots (AMRs), and machine automation solutions. According to Adel, A (2022). researcher has highlighted that Collaborative robots(Co-bots) design meant for intuitive interaction with humans, for which expansion of digital twin technology is required. According to Bharati, S. (2021), Robots should be integrated with the human brain and operate collaboratively rather than competitively. According to DiFacto Robotics and Automation (2022), Defacto robotics and  automation deliver different types of robots based on material handling, inspection, welding, assembly applications, and many more. According to Fanuc (2022), Fanuc robots deliver collaborative and autonomous robots to use in the recycling industry, electronics industry, machine tending industry(Material handling, welding, and assembly), and food industry. According to Gridbots(2022), Gridbots delivers collaborative and autonomous robots for material handling, packaging, inspection, and many services. According to Hasan Çebi Bal, Çisil Erkan,(2019), Autonomous robots recognize different parts and react to each part or product due to virtual vision capabilities. According to Jaydeep Mukherjee (2022), they have examined that the Stimulus-Organism-Response for the personal adaption of service robots in India. According to Javaid, et al., (2021), Autonomous drones are used in various industries for inspection, mapping, surveying, triggering sprinkler systems, and many more. According to Kadir Alpaslan Demir, et al., (2019), the attitude towards robots will likely evolve as humans experience robots. Hence robots in society will be biased by negative attitudes, and autonomous robots will be fulfilling the purpose, over threat to humanity. According to Mahindra & Mahindra(2022)

MSME Entrepreneur's Emotional Intelligence and Their Performance
Accordingly to Campa, Riccardo. (2020), Emotional intelligence is critical in keeping humans in the loop. Accordingly to Alasiri , N. ., & AlKubaisy , Z. . (2022) and Cotet, et al. (2020), that have found that it is essential to recognize human behaviour in the business relationship circle to understand how small changes in attitude can lead to significant changes in the industrial paradigm. MSME entrepreneurs' emotional intelligence helps to move their industry level to industry 6.0 to maximize productivity with autonomous robots as good as human brains. According to Issah, M. (2018) and Prakash, D., Bisla, M., & Arora, T. (2023), Leaders are responsible for overcoming challenges and implementing the changes through positive emotions in their organization. According to Jiewu Leng, et al., (2021), they found that function structure behaviour control intelligence performance framework proposes for digital technologies and intelligent manufacturing system integration. According to T. -A. Tran, et al., (2022), Balanced improvement in these industries is essential for an organization's sustainable growth.

RESULTS AND DISCUSSION
This study's results show that Industry 6.0 and the implementation of automation and robotics in the service industry are in the conceptual stage in most service sectors. Though automation installation has happened for many decades with partial human intervention in the service industry, a few more decades are required to formalize and regularize the complete robotic operation without human intervention in the service industry. The first point summarizes the outcome of the categorical literature review and highlights the novelty of the findings. The second point highlights the type of robots used to make this happen for Industry 6.0. The third point highlights the complete automation and robot presence in the service industry and MSME entrepreneurs' emotional intelligence to attain entrepreneur's and organization performance. This section discusses the theoretical definition of Industry 6.0 through complete automation and robotics and MSME entrepreneurs' emotional intelligence and their performance through interviews and industry experiences.

Categorical Literature Review
A comprehensive analysis of the digital twin type of level integration, automation, and robotics categories gives more information to understand the present conditions. According to Werner Kritzinger, et al. (2018)

CONCLUSION
The research concludes that industry 6.0 implementation in service is still conceptual in many industries. Only some service industries started utilizing autonomous robots and collaborative robots to fulfill everyday operations performed by them with human mind management for attaining the complete autonomy of automation and robotics in each service industry in India, i.e., energy, chemicals and environmental, electrical & electronics, automotive, defence, Logistics & Inspection, Food & beverage, Pharmaceuticals, Agriculture, Healthcare, Metal & Mining, Banking, Insurance & Financial Services. MSME entrepreneurs must work out CAPEX, OPEX and a roadmap for this implementation to achieve organizational growth and profit by balancing existing workers. An autonomous robot's emotional intelligence is required to match MSME entrepreneurs' expectations as corporate goals. MSME entrepreneurs' emotional intelligence and robots' emotional intelligence would give a higher performance for the company on the positive side and the opposing side. Each company has to prepare a separate policy for code of conduct, ethics, trust, emotions, and behaviour for the robot category to monitor and control periodically.
Based on the study, the industry has to work out a strategy for implementing complete automation and autonomous robots to transform the complete automation and robotics in each service industry. Currently, digital twin and autonomous robots implementation in the service industry is in the early stage. Researchers found that MSME Entrepreneurs implement the system through formulation, regulation, implementation, and maintenance through workflows, procedures, work instructions, policies, rules, regulations, and robot checklists. The industry has partially implemented automation and autonomous robots for the inspection, welding, assembly, and packaging service industry, and many more industries are yet to start utilizing these services. Another part is autonomous robots for each service industry to fulfil industry production and service requirements. Each industry has to work out the plan for complete automation and robotics implementation with remote human management in detail. Government and MSMEs must formalize the policies, terms, and agreements between MSME Entrepreneurs for complete automation and autonomous robots implementation by balancing existing workforces. However, many things could be improved to implement this. 1. Autonomous robots need to be programmed to take care of emotions with humans 2. Autonomous robots must be positioned and programmed in each service sector where humans are now handling 3-Existing workforces to be replaced with autonomous robots entirely with only a few human management 4. Existing workforces will have unemployment for the government and MSME to take care of, 5. Government and MSMEs have to set up and set right complete automation and robotics as part of Industry 6.0 and its performance. 6. OEMs must understand the service sector requirements to complete automation and robotics usage to fulfil their daily operation. Future research shall focus on the Industry 6.0 to mitigate the road map to overcome those limitations.