Stakeholder Model Research Articles

The implementation of green construction in IKN development by integrating sustainable triangle concept into sustainable development goals

The implementation of green construction in IKN development by integrating sustainable triangle concept into sustainable development goals

Shareholder primacy or stakeholder governance?

Externalities happen largely in the private sector and cannot be fully separated from production decisions. Decision-making in companies thus co-determines the degree of sustainability of an economy. Advances in impact valuation allow us to express the stakeholder interests in finance and valuation terms. We can thus compare investment decisions and payout decisions for three types of models: the shareholder value model, the shareholder welfare model, and the stakeholder model. Our results show that stakeholder-driven companies are better able to pursue a sustainable economy. Corporate governance should be adjusted accordingly.

PRAXEOLOGICAL ANALYSIS OF ESG: THE PRACTICAL IMPLEMENTATION OF THE STAKEHOLDER MODEL

This paper presents a praxeological examination of ESG —Environmental, Social, and Governance— conceptualized as the practical enactment of the Stakeholder Model, where the corporation is seen as an instrument for social organization. At the heart of this scrutiny is the entrepreneurial function, explored through the lens of the impossibility of economic calculation theory, dynamic efficiency theory, and the theory of spontaneous order. These notions are contrasted against the neoclassical critique of ESG challenges, underscoring that the Austrian viewpoint penetrates more profoundly into the fundamental issue: ESG is an institutional encroachment on the entrepreneurial function and, thus, a variant of socialism that induces miscoordination in social processes. The paper delves into the multifaceted causes and resultant effects, elucidating why the prevailing prescriptions for ESG enhancement are likely to lead to augmented regulation and further miscoordination.

Assessing the hierarchical beta-binomial model as a basic information sharing tool in basket trials

ABSTRACT The majority of statistical methods to share information in basket trials are based on a Bayesian hierarchical model with a common normal distribution for the logit-transformed response rates. The methods are of varying complexity, yet they all use this basic model. Generally, complexity is an obstacle for the application in clinical trials and that includes the use of the logit-transformation. The transformation complicates the model and impedes a direct interpretation of the hyperparameters. On the other hand, there exist basket trial designs which directly work on the probability scale of the response rate which facilitates the understanding of the model for many stakeholders. In order to reduce unnecessary complexity, we considered using a hierarchical beta-binomial model instead of the transformed models. This article investigates whether this approach is a practicable alternative to the commonly applied sharing tools based on a logit-transformation of the response rates. For this purpose, we performed a systematic comparison of the two models, starting with the distributional assumptions for the response rates, continuing with the Bayesian behavior together with binomial data in an independent setting and ended with a simulation study for the hierarchical model under various data and prior scenarios. All Bayesian comparisons require equal starting points, wherefore we propose a calibration procedure to choose similar priors for the models. The evaluation of the sharing property additionally required an evaluation measure for simulation results, which we derived in this work. The conclusion of the comparison is that the hierarchical beta-binomial model is a feasible alternative basic model to share information in basket trials.

Aluminum Circular Economy in the Bicycle Industry

Abstract From a traditional perspective, Bicycles are considered low-carbon emission transportation tools for commuting and traveling. This study analyzes aluminum recycling pathways within the bicycle manufacturing process to illustrate the bicycle circular economy model for the industry stakeholders to better understand the roadmap for improving from manufacturing to recycling. The goal is to promote the bicycle industry's sustainable development by achieving economic benefits and environmental protection. A comprehensive analysis of the entire lifecycle of the bicycle manufacturing process including production, usage, and recycling, was conducted for future application and manufacturing improvement. This research identifies existing technical barriers, policy limitations and restrictions, and issues related to market acceptance. In response to these challenges, a framework is proposed to draw a roadmap for the industry to make informed decisions on circular-economy-centered practices. This approach encourages companies to improve carbon emission efficiency to contribute to the long-term sustainability of the bicycle industry. JEL classification numbers: L11, M10. Keywords: Carbon Emission Efficiency, Circular Economy, Aluminum Recycling, Sustainability.

Which stakeholders should be addressed to promote Geriatric Medicine among healthcare professionals, educationalists and policy-makers in European countries? – the PROGRAMMING COST 21,122 action experience

BackgroundGeriatric Medicine (GM), concerned with well-being and health of older adults, can play a crucial role in the alignment of healthcare systems to the needs of the aged populations. However, countries have varying GM development backgrounds. The goal of PROGRAMMING- COST 21,122 Action is to propose the content of education and training activities in GM for healthcare professionals across various clinical settings, adapted to local context, needs, and assets. Defining relevant stakeholders and addressing them on both an international as well as a country-specific level is crucial for this purpose. In this paper we are describing the methods used in the PROGRAMMING Action 21,122 to map the different categories of stakeholders to be engaged in the Action.MethodsThrough conceptualizing a model for stakeholders by literature research, and online discussion group meetings, a synthesis for the potential stakeholders was defined as a template, and pilot applications were requested from participant countries.ResultsThere were 24 members from 14 countries (6 males/18 females) of multidisciplinary professions involved in this study. A model for the list of stakeholders to be addressed was developed and, after seven online discussion meetings, a consensus framework was provided. Invited countries completed the templates to pilot such operationalization.ConclusionOur framework of stakeholders will support the research coordination and capacity-building objectives of PROGRAMMING, including the participation into the assessment of educational needs of healthcare professionals. Identified stakeholders will also be mobilized for purposes of dissemination and maximization of the Action’s impact. By defining and mapping multidisciplinary stakeholders involved in older people’s care specific to countries, particularly where GM is still emerging, GM tailored educational activities will be facilitated and optimally targeted.

Strategic Corporate Social Responsibility at ITC: A Stakeholder Model

Strategic Corporate Social Responsibility at ITC: A Stakeholder Model

Green innovation imperative for natural resource-driven sustainable economic recovery: Linking rights Structure, corporate social responsibility, and renewable energy contracts

This study examines the complex relationships necessary for a sustainable economic recovery, focusing on the interplay between contracts for renewable energy, natural resource use, corporate social responsibility (CSR), and rights frameworks. Motivated by the increasing scrutiny of environmental practices, this research aims to highlight the need for sustainable business models during the transition to a more environmentally sensitive economy. The study area encompasses diverse sectors where CSR goals can be aligned with renewable energy project frameworks through natural resource utilization. Methodologies include a novel composite CSR evaluation indicator designed to complement industry rankings and a thorough analysis of CSR within the mining industry. Results demonstrate how aligning CSR with renewable energy initiatives can reshape profit models for stakeholders and emphasize the changing green product market as a catalyst for economic resurgence. Recommendations in the area of policies focus on the reasoned utilization of natural resources and the application of innovations following the principles of CSR. This research provides critical guidance to relevant authorities and institutions charged with ethical responsibility, ensuring the proper utilization and implementation of renewable energy sources to create a more ecological future based on green technology and sustainable resource management.

Research on the Stakeholder Model in Chinese Corporate Governance: Normative Foundations and Empirical Landscape

Research on the Stakeholder Model in Chinese Corporate Governance: Normative Foundations and Empirical Landscape

Collaboration Model in Blended Learning-Based Training: A Case Study at the Center for State Civil Apparatus Training, Development and Competency Mapping of the National Institute of Public Administration

This study proposes the collaboration model for implementing blended learning based civil apparatus training programs. This study adopted a mixed-method approach, integrating quantitative and qualitative data into the Delphi process to develop a collaboration model for stakeholders in blended learning-based civil apparatus training. The results reveal a model describing the identification of the actors and their roles and the process and prerequisites in collaborating with the blended learning-based civil apparatus training programs. The study offers valuable insights for training institutions and stakeholders involved in similar initiatives, providing practical guidance derived from recommendations to enhance collaborative training practices, ultimately aiming to improve the effectiveness and efficiency of training programs

Mental models of aquaculture governance in Indonesia

Aquaculture stakeholders have mental models, which are the internal cognitive representations of how they understand and prioritize the different features of their aquaculture systems. Individuals and stakeholder groups are likely to have different mental models, with implications for making cooperative governance work and guiding the rapidly emerging sector’s sustainable development. We apply a participatory approach called fuzzy cognitive mapping to capture and compare the mental models of community-based coastal pond aquaculture stakeholders in Indonesia, including farmers, government managers, and researchers who need to work together to govern a rapidly expanding aquaculture sector which faces critical sustainability challenges. To conceptually structure our comparison, we use Elinor Ostrom’s social–ecological systems framework. Our results highlight important differences between stakeholder group mental models which represent potential conflicts of interest and barriers for collaborative governance. Fish farmer models emphasize resource system challenges relating to production instability and risk, while government managers emphasize increasing production intensity to meet sectoral growth targets. Researchers, in contrast, tend to focus on pond waste treatment and water quality management. Governance attributes were consistently perceived as less frequent and less influential compared to other social–ecological dimensions, reflecting perceptions of weak governance in the sector. We identify a critical need for programs aimed at strengthening community-level institutional arrangements for governing shared aquaculture resources, increasing technical knowledge capacity, and managing financial risk. By merging all stakeholder models into a single “community” model, we identify key consensus action situations across the three groups as potential focal points for aquaculture development which may serve as a starting point for actors to work together to identify context-appropriate institutional solutions to these sustainability challenges.

Addressing the consequences of the corporatization of reproductive medicine.

In Australia and the UK, commercialization and corporatization of assisted reproductive technologies have created a marketplace of clinics, products, and services. While this has arguably increased choice for patients, 'choice', shaped by commercial imperatives may not mean better-quality care. At present, regulation of clinics (including clinic-corporations) and clinicians focuses on the doctor-patient dyad and the clinic-consumer dyad. Scant attention has been paid to the conflicts between the clinic-corporation's duty to its shareholders and investors, the medical profession's duty to the corporations within which they practice, and the obligations of both clinicians and corporations to patients and to health systems. Frameworks of regulation based in corporate governance and business ethics, such as stakeholder models and 'corporate social responsibility', have well-recognized limits and may not translate well into healthcare settings. This means that existing governance frameworks may not meet the needs of patients or health systems. We argue for the development of novel regulatory approaches that more explicitly characterize the obligations that both corporations and clinicians in corporate environments have to patients and to society, and that promote fulfilment of these obligations. We consider mechanisms for application in the multi-jurisdictional setting of Australia, and the single jurisdictional settings of the UK.

Electricity market clearing for multiple stakeholders based on the Stackelberg game

In order to improve the operating benefits of the distribution network and reduce the energy consumption costs of small–micro-industrial parks, an electricity market clearing considering small–micro-industrial parks is proposed based on the Stackelberg game. First, an optimal operating model of multiple stakeholders is established for integrated energy suppliers, the electricity market, and small–micro-industrial parks. In this model, an optimal electricity supply model for integrated energy suppliers is established with the goal of maximizing the operating benefits. A market clearing optimization model is established for the electricity market with the goal of maximizing the social surplus profit. In addition, an energy utilization optimization model is established for the small–micro-industrial parks with the goal of minimizing the energy procurement costs. Second, with the electricity market as the leader, the integrated energy suppliers and the small–micro-industrial parks as the followers, a leader–follower game strategy is proposed based on the Stackelberg game theory to achieve the maximizing benefits for multiple stakeholders. Finally, the simulation indicates that the proposed strategy can find the best profit point during the game process and achieve a balance between supply and demand.

Optimizing material circularity pathways in industrial waste streams: A decision-making model

The increasing pressures of environmental regulation and the introduction of new policy frameworks by various nations have accelerated the popularization of industrial solid waste management and recovery, underscoring the transition towards a circular economy. This paradigm shift emphasizes the importance of material recovery, reuse, and recycling of industrial waste to minimize environmental impact and enhance sustainability. Despite the availability of individual approaches for waste recovery, there exists a significant gap in the systematic selection of optimal recovery pathways that facilitate the reintegration of materials into the production cycle. Addressing this gap, our study introduces a novel optimization model designed to identify the most efficient material circularity routes that leverage both the technical and biological cycles of the circular economy framework. Utilizing the Genetic Algorithm optimization tool in MATLAB, our model prioritizes pathways that maximize material recovery and profit generation simultaneously. This dual-objective function serves as the cornerstone of our analysis, ensuring a balanced approach to environmental sustainability and economic viability. The model's efficacy was tested on pre-calculated quantities of fabric waste generated by the Biyagama Export Processing Zone, providing a practical case study for its application. Our findings reveal diverse scenarios under which the model can allocate varying weights to each objective, demonstrating its flexibility and utility as a decision-making tool for stakeholders in the waste management sector. The results indicate that the model is not only capable of optimizing waste circularity pathways for maximum material recovery and profit generation but also offers a customizable framework that can adapt to the specific priorities of different stakeholders. This research contributes to the existing body of knowledge by filling a critical gap in the selection of sustainable waste recovery pathways, offering a practical, optimized, and scalable solution that can significantly advance the goals of the circular economy in the industrial sector.•Decision-making model for stakeholders in the waste management sector.•Model selects the best material recovery pathways.•Textile industrial fabric waste stream used as a pilot to test the model's effectiveness.

A Critical Literature Review on Blockchain Technology Adoption in Supply Chains

Inspired by the discontinuation of the blockchain platform TradeLens, co-developed by IBM and Maersk, due to the lack of the involved supply chain stakeholders’ adoption, a critical literature review on the models of supply chain stakeholders’ adoption of blockchain applications was conducted. This review is significant as it provides insights into the exploration of a more universal approach to investigate which factors really influence blockchain adoption, which is a pre-requisite for the technical sustainability of blockchain technology in supply chains. As observed in the review, the technology acceptance model (TAM), the technology–organization–environment (TOE) framework, and the unified theory of acceptance and use of technology (UTAUT) are frequently used in the literature, but little attention has been paid to whether blockchain technology fits the users’ tasks in understanding blockchain adoption in the supply chain. Among the technology adoption theories, task–technology fit (TTF) considers whether a technology fits the tasks, but only two previous studies involved the use of TTF. This study discusses the suitability of these existing models of technology adoption for blockchain applications in supply chains and comes up with a new unified model, namely TOE-TTF-UTAUT. This review also has implications for a more appropriate conceptual research design using mixed methods.

Strategies for Integrating Marginalized Communities into Supply Chains: Empowering Suppliers, Producers, and Distributors

Integrating marginalized communities into supply chains as suppliers, producers, and distributors is a vital step for ensuring inclusive economic growth and poverty elimination. This study investigates effective strategies that enable businesses and organizations to incorporate disadvantaged groups into both global and local supply chains. Drawing on case studies and qualitative data, the research identifies critical factors in successful integration, including capacity-building initiatives, access to affordable financing, fair trade practices, and the utilization of technology for streamlined operations and market connectivity. Findings reveal several barriers these communities face, such as societal mindsets, limited financial support, lack of skills, and logistical challenges, which can impede their participation in supply chains. To address these challenges, this study proposes actionable strategies to create sustainable, inclusive supply chain models, highlighting the role of consistent training, transparent communication, and impact-oriented partnerships. The research underscores the significant socioeconomic benefits of inclusive supply chains, offering valuable insights and models for stakeholders aiming to empower marginalized communities, improve social cohesion, and drive local development through equitable business practices.

What drives energy storage deployment in local energy transitions? Stakeholders’ perspective

The global shift towards decentralised energy systems has assigned municipalities a key role in achieving national climate neutrality objectives. As the main stakeholders in the local energy transition, municipalities are responsible for the decarbonization of the local energy system through the extensive integration of renewable energy sources into existing systems. However, this integration requires new approaches and system adjustments, such as energy storage deployment, to satisfy the variable nature of renewable energy sources. The integration of novel solutions, such as energy storage, is difficult because of the diverse range of stakeholders involved, each with their own perceptions and expertise. This study uses the Fuzzy Cognitive Mapping (FCM) methodology to analyse the mental models of different stakeholders regarding their perceived importance of different factors influencing the implementation of energy storage in municipalities. The approach of this study enables a better understanding of municipal energy systems and its dynamics. The results reveal that support schemes such as subsidies and awareness campaigns are key to all stakeholders. Municipalities tend to focus on local needs and technological solutions, while energy experts prioritize technical aspects and national policies. Municipalities address challenges linearly, missing interconnections, whereas energy experts consider feedback loops and system requirements. The study highlights the need for common ground to drive effective policy and infrastructure development. The results could be used to facilitate discussions with policy makers on why energy storage is important and what policy measures should be considered to accelerate its deployment.

PENTA as a model for advanced integrated cancer management in low-resource settings.

e13783 Background: Cancer models are reactive, fragmented, and volume-based care, in which the lack of coordination between different layers of care, along with clinical and quality variability, technological pressure, and dominant positions, result in high levels of inefficiency and waste, affecting economic sustainability and hence effective access. This is prohibitive for low-resource settings. Modern healthcare system models in this scenarios should focus on solve this problems. Comprehensive cancer management needs a reorientation towards value- and efficiency-generating architectures.Usual redesigns have focused on direct cost containment through intensified audits or new contracting and payment modalities between stakeholders. However, the real impact of these strategies is marginal, increasing sectoral mistrust and failing to meet the quintuple aim. PENTA is a comprehensive cancer management framework to optimize cancer patient care, with emphasis on clinical governance, data guidance, and clinical-administrative alignment. This is an operational model for stakeholders in low-resource settings. PENTA model has been successfully implemented in health insurance companies in Colombia and in private insurance branch in Peru. Methods: PENTA has been applied since 2020. We employed a work methodology based on the Agile-2 matrix, which allows for fluidity and lower resource consumption. This methodology is hybrid and its execution begins with an initial diagnosis of the process within the partner company. This diagnosis includes prioritizing interventions from each of the axes, but understanding that this is a systemic project that includes 5 fundamental axes. This axes must be worked on simultaneously and interdependently to achieve the greatest value. Axes are: 1. Smart Risk Management, 2. Advanced Clinical Gobernance, 3. Value Audit, 4. Technology Management and 5. Value-based Contracting Focus on managing inefficiencies and waste (optimization model), PENTA can generate early results across various dimensions such as clinical variability and technology costs. Structuring and using a cross-cutting data architecture is fundamental to the model's development into a data control tower. Results: Implementation of a data control tower for cancer cohorts , development of joint clinical pathways (insurer-payer) for prioritized diseases, clinical practice agreements with hierarchical positions on high-cost medications, implementation of mini health technology assessments (HTAs), and generation of new prospective payment modalities based on performance adjustment. The estimated savings generated are $1.5 million for the phase 2 in Colombia and $800,000 for the phase 1 in Peru. Conclusions: PENTA is an agile framework for cancer management that can be sucessfully adapted to low-resource settings.

AN OVERVIEW OF CORPORATE SOCIAL RESPONSIBILITY ACTIVITIES IN COIMBATORE DISTRICTS

The concept of Corporate Social Responsibility is a very broad one, encompassing the various dimensions of the business world. Social responsibility in marketing involves focusing efforts on stake holders who want to make a positive difference with their requirements. Social responsibility has a great impact in the performance of various organizations. The CSR strategies may vary in accordance with company nature(size), Type, Form of Industry. The CSR ambit is getting bigger and for upcoming years it would turn as a unique knowledge base for analysing and achieving sustainability goals as among various large economies. India is a country which has assured by mandating CSR through its legislative action. This study focus on companies CSR efforts from their practices to broad societal impacts, be explained by the Classical model, Stakeholder model, Sustainability model, Concentric Circle model, or by a combination of all four.

Stakeholder Model of Corporate Governance: Methodology for Rapid Assessment of the Impact of Macroeconomic Challenges

The global humanitarian and economic challenges facing Russian corporate structures today require not only a rethinking of the role of public institutions in the future fate of the national economy, but also unprecedented innovative development of mechanisms for making management decisions in conditions of limited time and information. Well-known and methodologically developed approaches need transformation and development in relation to new realities. Based on the competent opinion of Russian corporate management on the current situation in the business environment, voiced at the XII All-Russian Forum «Business Management: Adaptation to Challenges and Development», requirements for the transformation of the corporate governance model have been determined. The purpose of the study was to develop the methodology proposed earlier by the authors for assessing the stakeholder value of the corporate network of the ESG activities of the corporation in terms of the influence of macro-level factors on it, in particular, economic sanctions. The following methods were used as a methodological basis: network approach, methods of logical analysis, correlation and regression analysis, comparison, graphic visualization. The methodology presented in the article was tested on the example of PJSC Norilsk Nickel and the region of its presence – the Krasnoyarsk Territory, based on data from two periods – pre-crisis (2012–2018) and including the COVID‑19 pandemic and strengthening of foreign trade sanctions (2012–2021). The results showed the sensitivity of the stakeholder value model to changes in macro conditions, which confirms the validity of the methodology for solving problems of operational management of corporate processes. The prospects for the research lie in the area of expanding the composition of stakeholder groups, developing methods for establishing operational connections between them and their assessment.