How do green knowledge management and green technology innovation impact corporate environmental performance? Understanding the role of green knowledge acquisition

Business Strategy and the Environment, Journal Year: 2022, Volume and Issue: 32(1), P. 551 - 569

Published: June 1, 2022

Abstract Increasing regulatory obligations to adapt and execute environmentally friendly operations make it critical for businesses pursue strategies that can strengthen their competitive edge in the market. Academics practitioners alike have recently gravitated toward exploring how knowledge acquisition activities might improve business outcomes. To address this growing research interest, study investigates roles of green enhancing management technology innovation improving corporate environmental performance, positioning resource commitment as a moderator. The model has been assessed using structural equation modeling with survey data from 283 Indian manufacturers, demonstrating significantly impacts innovation. statistical findings also show acts catalyzes translation into improved performance. results demonstrate moderates acquisition's interaction innovation, providing practical insights enabling managers focus on planning, allocating, budgeting resources effective practices contribute

Language: Английский

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Navigating the confluence of artificial intelligence and education for sustainable development in the era of industry 4.0: Challenges, opportunities, and ethical dimensions

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 437, P. 140527 - 140527

Published: Jan. 1, 2024

The emergence of Industry 4.0 marks a transformative era for businesses and industries, characterized by advanced technologies like automation, Internet Things (IoT), artificial intelligence (AI), smart factories, cyber-physical systems. This revolution promises significant advantages, including enhanced productivity, sustainable progress, heightened resilience. However, the integration is challenged need skilled workforce with expertise in areas such as information technology data analytics. Higher education institutions (HEIs) play vital role equipping future professionals these skills, necessitating curriculum updates infrastructure enhancements. Simultaneously, importance development (ESD) has been underscored global initiatives Sustainable Development Goals (SDGs). ESD instills sense responsibility economic, ecological, equitable well-being. As digital blur lines between faces challenge adapting to evolving demands. AI tools emerged catalyst reshaping learning experiences, fostering innovation, preparing individuals age. chatbots ChatGPT have garnered widespread attention possess potential revolutionize various aspects education. their raises ethical concerns, necessitates redesign, requires strategies continuous learning, demands alignment industry standards. While promising, there notable gap existing literature when it comes exploring implications, influence on ESD, impact structure Blooms Taxonomy, collaboration academia industry, effective personalized learning. paper aims critically examine tools, specific emphasis ChatGPT, within context ESD. It delves into potential, considerations, imperatives partnerships. By providing insights strategies, this contributes ongoing discussion about nature technologically driven world, academic navigate complexities opportunities associated more effectively.

Language: Английский

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Digital technology and business model innovation: A systematic literature review and future research agenda

Technological Forecasting and Social Change, Journal Year: 2023, Volume and Issue: 188, P. 122307 - 122307

Published: Jan. 10, 2023

Language: Английский

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Sustainability through digital transformation: A systematic literature review for research guidance

Journal of Business Research, Journal Year: 2022, Volume and Issue: 148, P. 456 - 471

Published: May 18, 2022

Language: Английский

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The perceived relationship between digitalization and ecological, economic, and social sustainability

Journal of Cleaner Production, Journal Year: 2021, Volume and Issue: 315, P. 128128 - 128128

Published: June 28, 2021

Sustainability, in terms of ecological, economic, and social sustainable development, the advancing digitalization represent some most substantial societal challenges today. However, little is known about how different actors decision-makers perceive relationship those two challenges. In our paper, by building upon framing theory representations theory, we address that gap investigating interrelationship between sustainability. Such research particularly important because understandings sustainability determine actors, including managers policymakers, act response to imperatives. Following a multi-method approach, combined media analysis with experimental studies examining various frame discourses which dimension sustainability—ecological, or social—dominates. Building these results, assess whether extent affects perception three dimensions. Among findings, perceptions ecological economic but not seem be affected digitalization. For future research, findings indicate need for more nuanced view on accounts its dimensions, especially Beyond that, perceived link guides respond imperatives, work also has practical implications as well.

Language: Английский

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Digital servitization and sustainability through networking: Some evidences from IoT-based business models

Journal of Business Research, Journal Year: 2021, Volume and Issue: 132, P. 507 - 516

Published: May 1, 2021

Language: Английский

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Interaction between Digital Economy and Environmental Pollution: New Evidence from a Spatial Perspective

International Journal of Environmental Research and Public Health, Journal Year: 2022, Volume and Issue: 19(9), P. 5074 - 5074

Published: April 21, 2022

The digital economy and the green are two major issues for economic recovery in post epidemic era. From spatial interaction spillover, we analyze measure relationships between environmental pollution 287 prefecture-level cities China from 2008 to 2018 using simultaneous equations generalized 3-stage least square (GS3SLS) method. results show that: (1) there is a reverse complex spatio-temporal evolution of Chinese cities. (2) There spillover effect pollution. Local inhibit each other. have significant spillover. surrounding regions has suppressive on local crowding-out economy. (3) Digital suppresses through development innovative effect; talent crowding out policy tightening effect. conclusion this paper provides evidence coupling coordinated economy, which great significance promoting transformation modes realizing high-quality development.

Language: Английский

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Artificial intelligence and blockchain implementation in supply chains: a pathway to sustainability and data monetisation?

Annals of Operations Research, Journal Year: 2022, Volume and Issue: 327(1), P. 157 - 210

Published: June 21, 2022

Abstract Digitalisation is expected to transform end-to-end supply chain operations by leveraging the technical capabilities of advanced technology applications. Notwithstanding operations-wise merits associated with implementation digital technologies, individually, their combined effect has been overlooked owing limited real-world evidence. In this regard, research explores joint Artificial Intelligence (AI) and Blockchain Technology (BCT) in chains for extending performance boundaries fostering sustainable development data monetisation. Specifically, study empirically studied tuna fish Thailand identify respective operations, observe material data-handling processes, envision AI BCT. Therefore, we first mapped business processes system-level interactions understand governing material, data, information flows that could be facilitated through BCT chain. The mapping results illustrate central role chains’ management, while sustainability monetisation impact depends on parameters objectives set involved system stakeholders. Afterwards, proposed a unified framework captures key elements need digitally handled enabled food driving value delivery. Overall, empirically-driven modelling approach anticipated support academics practitioners’ decision-making studying introducing interventions toward

Language: Английский

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The Contribution of Data-Driven Technologies in Achieving the Sustainable Development Goals

Sustainability, Journal Year: 2022, Volume and Issue: 14(5), P. 2497 - 2497

Published: Feb. 22, 2022

The United Nations’ Sustainable Development Goals (SDGs) set out to improve the quality of life people in developed, emerging, and developing countries by covering social economic aspects, with a focus on environmental sustainability. At same time, data-driven technologies influence our lives all areas have caused fundamental economical societal changes. This study presents comprehensive literature review how approaches enabled or inhibited successful achievement 17 SDGs date. Our findings show that analytics tools contribute achieving SDGs, e.g., making information more reliable, supporting better-informed decision-making, implementing data-based policies, prioritizing actions, optimizing allocation resources. Based qualitative content analysis, results were aggregated into conceptual framework, including following categories: (1) uses methods (e.g., monitoring, measurement, mapping modeling, forecasting, risk assessment, planning purposes), (2) resulting positive effects, (3) arising challenges, (4) recommendations for action overcome these challenges. Despite effects versatile applications, problems such as data gaps, biases, high energy consumption computational resources, ethical concerns, privacy, ownership, security issues stand way SDGs.

Language: Английский

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The environmental effects of the “twin” green and digital transition in European regions

Environmental and Resource Economics, Journal Year: 2022, Volume and Issue: 84(4), P. 877 - 918

Published: Dec. 9, 2022

Abstract This study explores the nexus between digital and green transformations—the so-called “twin” transition—in European regions in an effort to identify impact of environmental technologies on greenhouse gas (GHG) emissions originating from industrial production. We conduct empirical analysis based original dataset that combines information patent applications with GHG highly polluting plants for period 2007–2016 at metropolitan region level Union UK. Results show local development reduces emissions, while increases them, albeit latter case different seem have impacts environment, big data computing infrastructures being most detrimental. also find differential across depending endowment levels respective technologies: beneficial effect is stronger large technology endowments and, conversely, detrimental weaker endowments. Policy actions promoting transition should take this evidence into account, light potential downside transformation when not combined transformation.

Language: Английский

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