{"title":"制度压力与负责任的创新:采用大数据分析如何推动制造业中小企业提高竞争力","authors":"Adil Riaz, Fouzia Hadi Ali","doi":"10.1108/jgr-10-2023-0160","DOIUrl":null,"url":null,"abstract":"\nPurpose\nThis study aims to examine the influence of regulatory framework (RF), market dynamism (MDY), competitive intensity (CIN) and environmental public concern (EPC) on responsible innovation (RI) in the manufacturing SMEs of a developing country. Furthermore, the study examines the influence of RI on sustainable competitive advantage (SCA). Moreover, big data adoption (BDA) is used as a moderator between RI and SCA.\n\n\nDesign/methodology/approach\nThe study’s hypotheses are evaluated using the structural equation modeling methodology. The study collected data from a sample of 487 owners/managers of manufacturing SMEs using simple random sampling technique.\n\n\nFindings\nThe results explain that RF, MDY, CIN and EPC significantly determine RI. Moreover, RI significantly determines SCA. Besides, BDA significantly moderates between RI and SCA.\n\n\nResearch limitations/implications\nFor manufacturing SMEs to obtain SCA, RI is essential, and BDA is crucial to meet changing consumer demands for environmentally friendly products. With more environment-friendly initiatives, the natural environment will become more sustainable. Moreover, this research offers a comprehensive perspective to the public regarding the extent to which manufacturing enterprises are adopting RI and BDA.\n\n\nOriginality/value\nThe majority of earlier research on RI and BDA has been carried out in the context of large businesses. Institutional theory was used to look into the drivers of RI. Furthermore, BDA is used as moderating variable between RI and SCA.\n","PeriodicalId":45268,"journal":{"name":"Journal of Global Responsibility","volume":null,"pages":null},"PeriodicalIF":3.0000,"publicationDate":"2024-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Institutional pressure and responsible innovation: how big data analytics adoption drives manufacturing SMEs toward competitiveness\",\"authors\":\"Adil Riaz, Fouzia Hadi Ali\",\"doi\":\"10.1108/jgr-10-2023-0160\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\nPurpose\\nThis study aims to examine the influence of regulatory framework (RF), market dynamism (MDY), competitive intensity (CIN) and environmental public concern (EPC) on responsible innovation (RI) in the manufacturing SMEs of a developing country. Furthermore, the study examines the influence of RI on sustainable competitive advantage (SCA). Moreover, big data adoption (BDA) is used as a moderator between RI and SCA.\\n\\n\\nDesign/methodology/approach\\nThe study’s hypotheses are evaluated using the structural equation modeling methodology. The study collected data from a sample of 487 owners/managers of manufacturing SMEs using simple random sampling technique.\\n\\n\\nFindings\\nThe results explain that RF, MDY, CIN and EPC significantly determine RI. Moreover, RI significantly determines SCA. Besides, BDA significantly moderates between RI and SCA.\\n\\n\\nResearch limitations/implications\\nFor manufacturing SMEs to obtain SCA, RI is essential, and BDA is crucial to meet changing consumer demands for environmentally friendly products. With more environment-friendly initiatives, the natural environment will become more sustainable. Moreover, this research offers a comprehensive perspective to the public regarding the extent to which manufacturing enterprises are adopting RI and BDA.\\n\\n\\nOriginality/value\\nThe majority of earlier research on RI and BDA has been carried out in the context of large businesses. Institutional theory was used to look into the drivers of RI. Furthermore, BDA is used as moderating variable between RI and SCA.\\n\",\"PeriodicalId\":45268,\"journal\":{\"name\":\"Journal of Global Responsibility\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2024-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Global Responsibility\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/jgr-10-2023-0160\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Global Responsibility","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/jgr-10-2023-0160","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 0
摘要
目的 本研究旨在探讨发展中国家制造业中小企业的监管框架(RF)、市场活力(MDY)、竞争强度(CIN)和环境公共关注(EPC)对责任创新(RI)的影响。此外,本研究还探讨了责任创新对可持续竞争优势(SCA)的影响。此外,大数据采用(BDA)被用作 RI 和 SCA 之间的调节因素。研究采用简单随机抽样技术,收集了 487 位制造业中小企业所有者/管理者的样本数据。研究结果结果表明,RF、MDY、CIN 和 EPC 显著决定了 RI。此外,RI 对 SCA 有明显的决定作用。研究局限性/意义要使制造业中小企业获得 SCA,RI 至关重要,而 BDA 对于满足消费者对环保产品不断变化的需求也至关重要。随着更多环保举措的实施,自然环境将变得更加可持续。此外,本研究还为公众提供了一个全面的视角,以了解制造企业在多大程度上采用了 RI 和 BDA。机构理论被用来研究企业创新的驱动因素。此外,BDA 被用作 RI 和 SCA 之间的调节变量。
Institutional pressure and responsible innovation: how big data analytics adoption drives manufacturing SMEs toward competitiveness
Purpose
This study aims to examine the influence of regulatory framework (RF), market dynamism (MDY), competitive intensity (CIN) and environmental public concern (EPC) on responsible innovation (RI) in the manufacturing SMEs of a developing country. Furthermore, the study examines the influence of RI on sustainable competitive advantage (SCA). Moreover, big data adoption (BDA) is used as a moderator between RI and SCA.
Design/methodology/approach
The study’s hypotheses are evaluated using the structural equation modeling methodology. The study collected data from a sample of 487 owners/managers of manufacturing SMEs using simple random sampling technique.
Findings
The results explain that RF, MDY, CIN and EPC significantly determine RI. Moreover, RI significantly determines SCA. Besides, BDA significantly moderates between RI and SCA.
Research limitations/implications
For manufacturing SMEs to obtain SCA, RI is essential, and BDA is crucial to meet changing consumer demands for environmentally friendly products. With more environment-friendly initiatives, the natural environment will become more sustainable. Moreover, this research offers a comprehensive perspective to the public regarding the extent to which manufacturing enterprises are adopting RI and BDA.
Originality/value
The majority of earlier research on RI and BDA has been carried out in the context of large businesses. Institutional theory was used to look into the drivers of RI. Furthermore, BDA is used as moderating variable between RI and SCA.