Robotics and Automation with Artificial Intelligence: Improving Efficiency and Quality

Hussain, Nazim; Pangilinan, Greian April

doi:10.34306/att.v5i2.252

Cited by 10 publications

(1 citation statement)

References 20 publications

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“…Moreover, robots and modern technology can help reduce manual work and human errors (Chaudari et al, 2017). According to Hussain and Pangilinan (2023), Artificial Intelligence (AI)…”

Section: Manufacturing Industry Environmentmentioning

confidence: 99%

The Influence of the Manufacturing Industry Environment, Organizational Structures, and Economic Trends on Employee Responsibilities in the Manufacturing Industry

Ouanhlee

2024

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This article describes the impact of various factors on employee responsibility in the manufacturing industry, detailing the influence of technological advances, regulatory and legal compliance, diversity and inclusion, organizational structure, and economic trends toward the changing roles and skills of employees in this sector. Automation, Artificial Intelligence (AI), and robotics are examples of how technological advancements are changing work responsibilities, resulting in the need for training and new job positions. Compliance with safety, environmental, and ethical regulations has become critical, leading to the role of the Compliance Officer. Diversity and inclusion initiatives have resulted in changes to work responsibilities, cross-cultural communication, and skills training programs. Skills training programs and increased job descriptions have resulted in changes in the organization of organizational structures. Economic trends are shaping the new roles of research and development, supply chain management, and customer engagement, creating additional positions, such as supply chain analysts and social media managers. The production environment is rapidly evolving, requiring employees to adapt. Employee adaptation results in employees taking on new responsibilities and learning and practicing many new skills to succeed in an ever-changing environment. Furthermore, organizations must have Intellectual Property (IP) custodians, market research analysts, and mediators of security engagement and behavioral compliance between the organization and its employees.

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“…Moreover, robots and modern technology can help reduce manual work and human errors (Chaudari et al, 2017). According to Hussain and Pangilinan (2023), Artificial Intelligence (AI)…”

Section: Manufacturing Industry Environmentmentioning

confidence: 99%

The Influence of the Manufacturing Industry Environment, Organizational Structures, and Economic Trends on Employee Responsibilities in the Manufacturing Industry

Ouanhlee

2024

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Navigating the Future of Agriculture: A Comprehensive Review of Automatic All-Terrain Vehicles in Precision Farming

Padhiary,

Kumar,

Sethi

2024

J. Inst. Eng. India Ser. A

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AI’s call: Jordan’s MSMEs answer with intent

Abaddi

2024

JEEE

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Purpose Artificial intelligence (AI) is a powerful and promising technology that can foster the performance, and competitiveness of micro, small and medium enterprises (MSMEs). However, the adoption of AI among MSMEs is still low and slow, especially in developing countries like Jordan. This study aims to explore the elements that influence the intention to adopt AI among MSMEs in Jordan and examines the roles of firm innovativeness and government support within the context. Design/methodology/approach The study develops a conceptual framework based on the integration of the technology acceptance model, the resource-based view, the uncertainty reduction theory and the communication privacy management. Using partial least squares structural equation modeling – through AMOS and R studio – and the importance–performance map analysis techniques, the responses of 471 MSME founders were analyzed. Findings The findings reveal that perceived usefulness, perceived ease of use and facilitating conditions are significant drivers of AI adoption, while perceived risks act as a barrier. AI autonomy positively influences both firm innovativeness and AI adoption intention. Firm innovativeness mediates the relationship between AI autonomy and AI adoption intention, and government support moderates the relationship between facilitating conditions and AI adoption intention. Practical implications The findings provide valuable insights for policy formulation and strategy development aimed at promoting AI adoption among MSMEs. They highlight the need to address perceived risks and enhance facilitating conditions and underscore the potential of AI autonomy and firm innovativeness as drivers of AI adoption. The study also emphasizes the role of government support in fostering a conducive environment for AI adoption. Originality/value As in many emerging nations, the AI adoption research for MSMEs in Jordan (which constitute 99.5% of businesses), is under-researched. In addition, the study adds value to the entrepreneurship literature and integrates four theories to explore other significant factors such as firm innovativeness and AI autonomy.

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Robotics and Automation with Artificial Intelligence: Improving Efficiency and Quality

Cited by 10 publications

References 20 publications

The Influence of the Manufacturing Industry Environment, Organizational Structures, and Economic Trends on Employee Responsibilities in the Manufacturing Industry

The Influence of the Manufacturing Industry Environment, Organizational Structures, and Economic Trends on Employee Responsibilities in the Manufacturing Industry

Navigating the Future of Agriculture: A Comprehensive Review of Automatic All-Terrain Vehicles in Precision Farming

AI’s call: Jordan’s MSMEs answer with intent

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