How eco-champions solve the triple-bottom-line challenge

van Bueren, Bart J.A.; Leenders, Mark A.A.M.; Iyer-Raniga, Usha; Argus, Kevin

doi:10.1016/j.jclepro.2023.139068

Cited by 6 publications

(1 citation statement)

References 72 publications

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“…The six dimensions (governance, people, planet, profit, cultural and spatial) were associated with the factors for the reflective modeling process where the study constructs were created (van Bueren et al , 2023). The list of factors and dimensions determined in (see Table 2) helps the governance of ocean ecosystem services to apply a specific model to analyze future decisions before moving forward with the implementation of a project.…”

Section: Resultsmentioning

confidence: 99%

Ocean ecosystem services: modeling a factor development process to create sustainable value for decisions

Figueiredo,

Cabral

2024

SAMPJ

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Purpose The purpose of this paper is to model a process for moving toward sustainable ecosystem service decisions in a Coastal Biodiversity and discuss the directions of the process for decision-makers to apply in ocean ecosystem services. Design/methodology/approach After the development of theoretical approaches to understand their prospects for the future development of ecosystem services, the authors worked on a process for developing factors for sustainable decision-making. It uses the Delphi method to develop all the factors supported by six dimensions in two specific moments: deductive-inductive and inductive-deductive. Findings This process of modeling the factors expands the possibility of adaptive governance to make prior and subsequent decisions using factors related to dimensions, stakeholders and benefits, risks, opportunities and costs. Research limitations/implications Considering the limitations, future studies could use another database to widen the view in terms of the studies, factors, dimensions and other additional information to maintain the evolution of this process in ocean ecosystem services decision-making. Another limitation arose in the number of projects and experts defining the factors. This may prevent the opportunity to have more impact in terms of future decisions if more sources are used in the market. In addition, time and the access to experts during this modeling process demonstrate a limitation, as does the time for feedback. Practical implications This set of factors developed for adaptive governance decision-making can be applied to develop a prior alignment of stakeholder interests with sustainable practices. Social implications This set of factors developed with the intervention of experts reinforces the importance of sustainable collective decisions on ocean ecosystem services. This is a joint approach with participants in the NextOcean project, sponsored by the European Commissions (EC)’s Horizon 2020 program. An Earth Observation-based Consortia aims to create sustainable value for Space, Land and Oceans. Originality/value This modeling process generated dimensions and factors to support adaptive governance stakeholders in making sustainable decisions in a coastal biodiversity zone.

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Section: Resultsmentioning

confidence: 99%

Ocean ecosystem services: modeling a factor development process to create sustainable value for decisions

Figueiredo,

Cabral

2024

SAMPJ

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Exploring eco‐innovation capability and operational performance of energy service companies: Does ownership structure make a difference?

Munodawafa,

Johl

2024

Bus Strat Dev

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Eco‐innovation capability's enhancement of the operational competitiveness of Energy Service Companies (ESCOs) remains under explored in emerging markets. Furthermore, limited evidence exists on the influence of ownership structure on eco‐innovation capability and operational performance. This study therefore examines the relationship between eco‐innovation capability, ownership structure and operational performance of ESCOs. Questionnaires are electronically distributed to Operations Managers of 287 ESCOs registered by the Energy Commission in Malaysia. To test the direct and moderating effects, Partial Least Square‐Structural Equation Modeling (PLS‐SEM) is applied on 136 valid responses. Results suggest Eco‐innovation Capability significantly enhances ESCOs operational performance, with the model explaining 66% (R2 = 0.656) of the variance. Furthermore, a concentrated ownership structure resulted in higher eco‐innovation capability and operational performance. These results provide pathways for industry practitioners to improve sustainable development contributions and operational performance whilst providing policymakers with a benchmark towards evaluating the effectiveness of the National Energy Policy.

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The Role of Higher Education Institutions in Meeting SDG 9

Velazquez

2024

Strategies for Sustainability

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How eco-champions solve the triple-bottom-line challenge

Cited by 6 publications

References 72 publications

Ocean ecosystem services: modeling a factor development process to create sustainable value for decisions

Ocean ecosystem services: modeling a factor development process to create sustainable value for decisions

Exploring eco‐innovation capability and operational performance of energy service companies: Does ownership structure make a difference?

The Role of Higher Education Institutions in Meeting SDG 9

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