Consumers' purchase behavior of Cradle to Cradle Certified® products—The role of trust and supply chain transparency DOI Creative Commons
Svenja Damberg, Ulla A. Saari, Morgane M.C. Fritz

и другие.

Business Strategy and the Environment, Год журнала: 2024, Номер unknown

Опубликована: Авг. 15, 2024

Abstract Consumers' trust in eco‐labels is declining due to the growing number of different kinds that can be uncertified and related greenwashing. This paper argues providing more transparency regarding green supply chains (GSCs) through (such as Cradle Certified®) critical for creating convincing consumers buy eco‐products over conventional ones. Building on previous literature sustainable consumption behavior, purchasing certification GSC management, we develop test a conceptual model empirically investigate links between consumers' eco‐product labels perceptions influencing purchase behavior (GPB) case eco‐friendly fast‐moving consumer goods (FMCGs). By studying sample 276 German applying structural equation modeling, find positive GSCs are important drivers GPB. Our research contributes by expanding knowledge factors acceptance eco‐products, highlighting importance chain among consumers. We discuss theoretical implications product innovation marketing including labeling based transparent GSCs.

Язык: Английский

Harnessing digital foundations and artificial intelligence synergies: Unraveling the role of digital platforms, artificial intelligence, and strategic adaptability in organizational innovativeness DOI Creative Commons
Yi-Chun Lin, Zahid Yousaf, Adriana Grigorescu

и другие.

Journal of Innovation & Knowledge, Год журнала: 2025, Номер 10(2), С. 100670 - 100670

Опубликована: Фев. 11, 2025

Язык: Английский

Процитировано

2

Maximising sustainable performance: Integrating servitisation innovation into green sustainable supply chain management under the influence of governance and Industry 4.0 DOI Creative Commons
Fadi Alkaraan, Mahmoud Elmarzouky, Ana Beatriz Lopes de Sousa Jabbour

и другие.

Journal of Business Research, Год журнала: 2024, Номер 186, С. 115029 - 115029

Опубликована: Ноя. 1, 2024

Язык: Английский

Процитировано

7

Riding towards sustainable development in Industry 4.0: Learnings from a case of the bicycle manufacturing company DOI
Deepak Datta Nirmal, Kapil Gumte, Amrik S. Sohal

и другие.

Technological Forecasting and Social Change, Год журнала: 2025, Номер 212, С. 123970 - 123970

Опубликована: Янв. 15, 2025

Язык: Английский

Процитировано

0

Predictive Analytics and Big Data in Forecasting Recycling Trends DOI

Aparna Unni,

Harpreet Kaur Channi

Advances in environmental engineering and green technologies book series, Год журнала: 2025, Номер unknown, С. 177 - 210

Опубликована: Янв. 16, 2025

Predictive analytics and big data enhance recycling by analyzing social media, sensors, municipal data. Advanced algorithms manage resource allocation operations, forecasting trends from population growth economic factors. Machine learning identifies patterns predicts future rates. In India (2010-2024), Python's Pandas Scikit-learn used linear regression to forecast trends, showing annual increases. Residuals analysis confirms model accuracy, suggesting that strategies are effective room for improvement exists.

Язык: Английский

Процитировано

0

The Organization of Circular Production and Improvement of Energy Efficiency Through Decision-Making Based on Big Data and AI DOI
Tokhir A. Akramov, Zhanbolot Zh. Tursunbaev, Zulaika K. Ermekova

и другие.

Studies in big data, Год журнала: 2025, Номер unknown, С. 315 - 324

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Foresight study using scenarios and the Delphi method in the leather agroindustrial chain to 2035 - Alignment of results with open innovation DOI Creative Commons
Jhon Wilder Zartha Sossa,

Nolberto Gutiérrez Posada,

Luis Horacio Botero Montoya

и другие.

Journal of Open Innovation Technology Market and Complexity, Год журнала: 2024, Номер 10(3), С. 100374 - 100374

Опубликована: Авг. 30, 2024

Язык: Английский

Процитировано

4

Cocreating Value Through Open Circular Innovation Strategies: A Results‐Driven Work Plan and Future Research Avenues DOI Creative Commons
Mark Anthony Camilleri

Business Strategy and the Environment, Год журнала: 2025, Номер unknown

Опубликована: Фев. 23, 2025

ABSTRACT For the time being, there is limited research focused on open innovation approaches that promote development and growth of stakeholder‐driven circular economy models. This article addresses this knowledge gap. Its objectives are threefold: Firstly, it describes key elements value cocreation. Secondly, utilizes findings from a comprehensive systematic review to identify opportunities challenges related paradigm. Thirdly, presents theoretical implications an action plan, alongside future avenues, highlight importance engaging in collaborative behaviors with stakeholders. It emphasizes cocreation culture encourages sharing resources, competencies, capabilities, while safeguarding organizations' intellectual properties. Such practices aim foster coupled support strategies like resource recovery, reverse logistics, industrial symbiosis, among others. Unlike many other articles, contribution clearly specifies scope for practitioners develop ecosystems increase practitioners' bottom lines, reducing their environmental impacts.

Язык: Английский

Процитировано

0

Role of engagement capabilities, integration and data analytics: implications for supply chain agility and resilience DOI
Rohit Kumar Singh, Anil Kumar

International Journal of Productivity and Performance Management, Год журнала: 2025, Номер unknown

Опубликована: Март 26, 2025

Purpose The study investigates the relationship between engagement capabilities (ENC), supply chain integration (SCI) and data analytics capability (DAC) in shaping resilience (SCR). It also explores moderating role of Industry Dynamism (IDY) relationships SCF SCA, as well SCR. theoretical framework was developed by incorporating constructs from prior research. Design/methodology/approach A self-administered instrument devised, were collected experts specializing chains electronics, steel, energy, textile heavy machinery manufacturing industries operating India. structural equation modeling utilized to validate hypothesis, evaluating 681 received responses. Findings findings highlight ENC’s pivotal fostering SCI DAC and, subsequently, with flexibility (SCF). indicate that further amplifies agility (SCA) SCR, emphasizing adaptability vital. Notably, industry dynamism significantly moderates SCF, SCA Originality/value This study, anchored frameworks, offers nuanced understandings refines existing perspectives on components’ interrelations amidst rapid industrial transformations. study’s novel approach lies its exploration effect flexibility, resilience, adding new dimensions frameworks management.

Язык: Английский

Процитировано

0

Leveraging technology in humanitarian supply chains: impacts on collaboration, agility and sustainable outcomes DOI Creative Commons
Rohit Kumar Singh

Journal of Humanitarian Logistics and Supply Chain Management, Год журнала: 2024, Номер unknown

Опубликована: Июль 25, 2024

Purpose This study aims to understand the role of technology adoption (TA) in improving efficiency and environmental sustainability (ENS) humanitarian supply chains through collaboration chain agility. made an attempt explore how technological resources can be used strategically achieve operational contribute sustainable logistics. Design/methodology/approach The data collected from 274 respondents involved logistics is analyzed using confirmatory factor analysis Partial Least Squares Structural Equation Modeling. These include managers, coordinators as well other relevant personnel different non-governmental organizations, international aid agencies relief operations. Findings results this show that TA plays a critical both agility It evidenced significantly moderate relationship between outcomes, respectively, effectiveness ENS delivery. In particular, technology-facilitated cut down costs, reduce response time minimize impact. Originality/value extends application dynamic capabilities view operations elaborates on capability improves performance. also highlights mediation delivery ENS.

Язык: Английский

Процитировано

3

Analysis of barriers to adopting Industry 4.0 to achieve agri‐food supply chain sustainability: A group‐based fuzzy analytic hierarchy process DOI Creative Commons
Guoqing Zhao, Chenhui Ye, Denis Dennehy

и другие.

Business Strategy and the Environment, Год журнала: 2024, Номер 33(8), С. 8559 - 8586

Опубликована: Авг. 25, 2024

Abstract Agri‐food supply chains (AFSCs) need to become more sustainable, and Industry 4.0 (I4.0) is a crucial enabler. However, various barriers make adopting I4.0 technologies achieve AFSC sustainability challenging. Few previous studies have examined China's agri‐food industry. Through literature review consultation of Chinese experts, we identify 27 in six categories prioritize these using group‐based fuzzy analytic hierarchy process produce novel results. First, new adoption closely linked with economic, social cultural environments, including acquisition intelligent agricultural equipment subsidies based on guanxi . Second, our prioritization reveals that the key challenges applying are increased cost terminal logistics, , low compatibility existing equipment, problems government subsidy model. These results managerial implications for governments knowledge dissemination organizations.

Язык: Английский

Процитировано

3