Apoorva Vikrant Kulkarni , Shaji Joseph , Kanchan Pranay Patil
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Therefore, this research aims to assess how artificial intelligence technology affects SS and business ethics in the MSMEs. We studied the artificial intelligence (AI) readiness among MSME companies in developing nations. We analyzed AI readiness using the theory of technology-organization-environment (TOE). Further, we also studied AI readiness and its influence on business ethics and SS, which we measured through skill development, work conditions, environment, and safety among MSMEs. We collected the data from 236 MSME employees. We used Structural Equation Modeling using SmartPLS software for data analysis. The research findings indicated that AI readiness directly impacts SS. We also found that the findings directly impact employees' social and ethical behavior. We also observed that business ethics significantly affects SS, indicating partial mediation. This study has substantial theoretical and managerial implications as policymakers and MSME leadership need to consider SS an essential component of sustainable development.</p></div>","PeriodicalId":100699,"journal":{"name":"International Journal of Information Management Data Insights","volume":"4 2","pages":"Article 100250"},"PeriodicalIF":0.0000,"publicationDate":"2024-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667096824000399/pdfft?md5=d8f0f5b1aebabeeedcc5dbaf8fecc2f8&pid=1-s2.0-S2667096824000399-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Artificial intelligence technology readiness for social sustainability and business ethics: Evidence from MSMEs in developing nations\",\"authors\":\"Apoorva Vikrant Kulkarni , Shaji Joseph , Kanchan Pranay Patil\",\"doi\":\"10.1016/j.jjimei.2024.100250\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Social, economic, and environmental development together contributes to sustainable development. Social sustainability (SS) is essential to create just and inclusive societies where people's basic needs are satisfied, human rights are protected, and social cohesion and fairness exist. To achieve holistic, sustainable development, policymakers and management must consider SS and environmental and economic considerations. Employees' social and behavioral interactions impact SS and business ethics. Micro, small, and medium enterprises (MSMEs) can learn from artificial intelligence (AI) for better decision-making, operational optimization, increased employability, and employee empowerment. Therefore, this research aims to assess how artificial intelligence technology affects SS and business ethics in the MSMEs. We studied the artificial intelligence (AI) readiness among MSME companies in developing nations. We analyzed AI readiness using the theory of technology-organization-environment (TOE). Further, we also studied AI readiness and its influence on business ethics and SS, which we measured through skill development, work conditions, environment, and safety among MSMEs. We collected the data from 236 MSME employees. We used Structural Equation Modeling using SmartPLS software for data analysis. The research findings indicated that AI readiness directly impacts SS. We also found that the findings directly impact employees' social and ethical behavior. We also observed that business ethics significantly affects SS, indicating partial mediation. This study has substantial theoretical and managerial implications as policymakers and MSME leadership need to consider SS an essential component of sustainable development.</p></div>\",\"PeriodicalId\":100699,\"journal\":{\"name\":\"International Journal of Information Management Data Insights\",\"volume\":\"4 2\",\"pages\":\"Article 100250\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2667096824000399/pdfft?md5=d8f0f5b1aebabeeedcc5dbaf8fecc2f8&pid=1-s2.0-S2667096824000399-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Information Management Data Insights\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2667096824000399\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Information Management Data Insights","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2667096824000399","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
社会、经济和环境的共同发展有助于实现可持续发展。社会可持续性(SS)对于创建公正、包容的社会至关重要,在这样的社会中,人们的基本需求得到满足,人权得到保护,社会充满凝聚力和公平性。要实现全面的可持续发展,决策者和管理层必须将社会可持续发展与环境和经济因素结合起来考虑。员工的社会和行为互动会影响社会安全和商业道德。微型、小型和中型企业(MSMEs)可以从人工智能(AI)中学习更好的决策、运营优化、提高就业能力和员工赋权。因此,本研究旨在评估人工智能技术如何影响中小微型企业的企业社会责任和商业道德。我们研究了发展中国家中小微企业的人工智能(AI)准备情况。我们使用技术-组织-环境(TOE)理论分析了人工智能的准备程度。此外,我们还研究了人工智能就绪程度及其对商业道德和 SS 的影响,我们通过中小微企业的技能发展、工作条件、环境和安全来衡量这些影响。我们收集了 236 名中小微企业员工的数据。我们使用 SmartPLS 软件的结构方程模型进行数据分析。研究结果表明,人工智能准备程度直接影响到 SS。我们还发现,研究结果直接影响员工的社会和道德行为。我们还观察到,商业道德对 SS 有明显影响,表明存在部分中介作用。本研究具有重要的理论和管理意义,因为政策制定者和中小微企业领导层需要将社会责任视为可持续发展的重要组成部分。
Artificial intelligence technology readiness for social sustainability and business ethics: Evidence from MSMEs in developing nations
Social, economic, and environmental development together contributes to sustainable development. Social sustainability (SS) is essential to create just and inclusive societies where people's basic needs are satisfied, human rights are protected, and social cohesion and fairness exist. To achieve holistic, sustainable development, policymakers and management must consider SS and environmental and economic considerations. Employees' social and behavioral interactions impact SS and business ethics. Micro, small, and medium enterprises (MSMEs) can learn from artificial intelligence (AI) for better decision-making, operational optimization, increased employability, and employee empowerment. Therefore, this research aims to assess how artificial intelligence technology affects SS and business ethics in the MSMEs. We studied the artificial intelligence (AI) readiness among MSME companies in developing nations. We analyzed AI readiness using the theory of technology-organization-environment (TOE). Further, we also studied AI readiness and its influence on business ethics and SS, which we measured through skill development, work conditions, environment, and safety among MSMEs. We collected the data from 236 MSME employees. We used Structural Equation Modeling using SmartPLS software for data analysis. The research findings indicated that AI readiness directly impacts SS. We also found that the findings directly impact employees' social and ethical behavior. We also observed that business ethics significantly affects SS, indicating partial mediation. This study has substantial theoretical and managerial implications as policymakers and MSME leadership need to consider SS an essential component of sustainable development.