Technological management capabilities as a pathway toward green production and green competitive advantage

IF 7.3 2区工程技术 Q1 ENGINEERING, INDUSTRIAL

Journal of Manufacturing Technology Management Pub Date : 2024-07-18 DOI:10.1108/jmtm-10-2023-0456

Muhammad Waqas, Qingfeng Meng, Syed Abdul Rehman Khan, Kramat Hussain

{"title":"Technological management capabilities as a pathway toward green production and green competitive advantage","authors":"Muhammad Waqas, Qingfeng Meng, Syed Abdul Rehman Khan, Kramat Hussain","doi":"10.1108/jmtm-10-2023-0456","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>Organizations' technological management capabilities (TMC) have emerged as a powerful tool to enable manufacturing firms to deal with environmental issues. This empirical investigation aims to introduce and validate a novel conceptual framework that seeks to uncover the latent relationships among the selected constructs of this study. Organizational TMC could enhance green production (GP) and reinforce the green competitive advantage (GCA) among manufacturing firms. Therefore, this research investigates the role of TMC of firms such as artificial intelligence capability (AIC), big data analytics capability (BDAC) and Internet of things capability (IOTC) in reshaping green innovation (RGI), employee development (ED), GP and GCA.</p>\n<h3>Design/methodology/approach</h3>\n<p>The Partial Least Squares-Structural Equation Modeling was proposed to test and validate this research’s conceptual model using 463 valid responses from manufacturing under the China–Pakistan Economic Corridor (CPEC) umbrella.</p>\n<h3>Findings</h3>\n<p>Our statistical findings confirmed that TMCs such as AIC, BDAC and IOTC supported the GP and CGA. ED and RGI positively correlated to GP. The hypotheses testing results also confirmed the mediating role of ED, RGI and GP and the moderating role of green firm innovativeness capability (GFIC) in the underdeveloped context of the manufacturing industry under the CPEC.</p>\n<h3>Originality/value</h3>\n<p>Moreover, the statistical findings of this study extend the existing literature by validating the possible direct, indirect/mediation and indirect/moderation relationship between TMC and GCA.</p>","PeriodicalId":16301,"journal":{"name":"Journal of Manufacturing Technology Management","volume":"8 1","pages":""},"PeriodicalIF":7.3000,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Manufacturing Technology Management","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1108/jmtm-10-2023-0456","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}

引用次数: 0

Abstract

Purpose

Organizations' technological management capabilities (TMC) have emerged as a powerful tool to enable manufacturing firms to deal with environmental issues. This empirical investigation aims to introduce and validate a novel conceptual framework that seeks to uncover the latent relationships among the selected constructs of this study. Organizational TMC could enhance green production (GP) and reinforce the green competitive advantage (GCA) among manufacturing firms. Therefore, this research investigates the role of TMC of firms such as artificial intelligence capability (AIC), big data analytics capability (BDAC) and Internet of things capability (IOTC) in reshaping green innovation (RGI), employee development (ED), GP and GCA.

Design/methodology/approach

The Partial Least Squares-Structural Equation Modeling was proposed to test and validate this research’s conceptual model using 463 valid responses from manufacturing under the China–Pakistan Economic Corridor (CPEC) umbrella.

Findings

Our statistical findings confirmed that TMCs such as AIC, BDAC and IOTC supported the GP and CGA. ED and RGI positively correlated to GP. The hypotheses testing results also confirmed the mediating role of ED, RGI and GP and the moderating role of green firm innovativeness capability (GFIC) in the underdeveloped context of the manufacturing industry under the CPEC.

Originality/value

Moreover, the statistical findings of this study extend the existing literature by validating the possible direct, indirect/mediation and indirect/moderation relationship between TMC and GCA.

查看原文本刊更多论文

技术管理能力是实现绿色生产和绿色竞争优势的途径

目的组织的技术管理能力（TMC）已成为制造企业应对环境问题的有力工具。本实证调查旨在引入并验证一个新的概念框架，该框架旨在揭示本研究中所选构念之间的潜在关系。组织 TMC 可以提高绿色生产（GP），增强制造企业的绿色竞争优势（GCA）。因此，本研究探讨了人工智能能力（AIC）、大数据分析能力（BDAC）和物联网能力（IOTC）等企业 TMC 在重塑绿色创新（RGI）、员工发展（ED）、GP 和 GCA 中的作用。研究结果我们的统计结果证实，AIC、BDAC 和 IOTC 等 TMC 支持 GP 和 CGA。ED和RGI与GP呈正相关。此外，本研究的统计结果还验证了 TMC 与 GCA 之间可能存在的直接、间接/中介和间接/调节关系，从而扩展了现有文献。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Journal of Manufacturing Technology Management Engineering-Control and Systems Engineering

CiteScore

16.30

自引率

7.90%

发文量

期刊介绍： The Journal of Manufacturing Technology Management (JMTM) aspires to be the premier destination for impactful manufacturing-related research. JMTM provides comprehensive international coverage of topics pertaining to the management of manufacturing technology, focusing on bridging theoretical advancements with practical applications to enhance manufacturing practices. JMTM seeks articles grounded in empirical evidence, such as surveys, case studies, and action research, to ensure relevance and applicability. All submissions should include a thorough literature review to contextualize the study within the field and clearly demonstrate how the research contributes significantly and originally by comparing and contrasting its findings with existing knowledge. Articles should directly address management of manufacturing technology and offer insights with broad applicability.