Stakeholder Management Research Articles

On-demand airport slot management: tree-structured capacity profile and coadapted fire-break setting and slot allocation

We propose an on-demand airport slot management (ODASM) approach to guide slot fire-break capacity setup and airport slot allocation. The ODASM consists of a tree-structured capacity profile and a coadapted fire-break setting and slot allocation model. The tree-structured capacity profile that is constructed using a decision tree aims to capture various fire-break capacity settings and their corresponding delays. It provides diversified fire-break schemes and delay references in the airport slot allocation process. The coadapted fire-break setting and slot allocation model are able to generate good coadaptation. That is, the fire-breaks are set to adapt to the preferences of airlines' requests to minimise the total displacements, and the airlines' requests are modified to adapt to the fire-breaks to satisfy a predetermined delay level. The approach has been tested at Shanghai Pudong Airport, and the results suggest that the ODASM can generate a moderate level of rescheduling while resulting in the expected delay that does not exceed a given acceptable delay level. It has been demonstrated that the ODASM can offer substantial advantages in contrast to a classic slot allocation method where the capacity are set as the maximum of the declared capacity. Moreover, due to the refined relationship between fire-break configuration and delay, the computation process of slot optimisation only takes a few minutes, which is completely viable for the application. This approach is compatible with the current slot guidelines while showing significant potential to improve the collaboration among stakeholders in slot management.

Navigating dual hazards: Managing hurricane evacuation and sheltering operations Amidst COVID-19

Hurricane Laura made landfall in August of 2020 as a Category 4 storm, heavily affecting the coastlines of Texas and Louisiana. At the same time, both areas were coping with a surge in COVID-19 cases absent a vaccine. For this study, we explored how emergency management stakeholders navigated evacuation, sheltering, and re-entry planning and operations during a dual hazard threat where hurricane risk reduction measures contradicted COVID-19 risk reduction measures. We conducted 35 semi-structured interviews with emergency management stakeholders in Texas and Louisiana in the spring of 2021. Participants were recruited using a purposive sampling strategy designed to identify agency representatives and other officials involved with planning for hurricane season and with the Hurricane Laura response effort. We used thematic analysis to code and analyze the data. Findings suggest that while the process for planning for hurricanes had to shift to an online approach, the plan for addressing hurricane season was largely unchanged from the perspective of most participants until days before impact, when the decision was made to move to noncongregate sheltering. This led to adaptive and creative improvisation on the part of participants managing the evacuation and sheltering operations. Likewise, we found that caring for and communicating with evacuees in a noncongregate setting presented unanticipated challenges that required improvisation to address. Given the continued threat posed by COVID-19 and other respiratory illnesses, this study provides insights that emergency management stakeholders could apply to current and future planning and response efforts for hazards that require evacuation and sheltering.

Differences between resident and nonresident hunters’ perceptions about CWD and associated implications: a case study from Colorado

ABSTRACT State wildlife agencies (SWAs) rely on hunter harvest submissions to help monitor and manage chronic wasting disease (CWD). Thus, effective CWD management is contingent upon SWAs’ understanding of hunters’ attitudes about, concerns with, and management preferences used to address CWD. We examined these and other human dimensions constructs, including trust and behavioral intentions, by surveying a random sample of resident and nonresident deer hunters who had purchased licenses in areas of Colorado where CWD had been detected. Our results suggest that regardless of residency, hunters are concerned about CWD. However, we detected substantive differences across the groups’ hunting motivations, management acceptability, and behavioral intentions. These data can help agencies develop communication strategies based on specific stakeholder motivations, concerns, and management preferences. Additionally, findings can help SWAs understand how hunting behavior may change if CWD prevalence increases, allowing them to adjust course as needed.

Ensuring Transparency of ESG Transformation of Corporations (Using the Example of Retail Companies)

In recent years, companies in the retail sector have begun to introduce and incorporate the principles of sustainable development into their strategies and began to publish reports on sustainable development. ESG transformation of companies in the retail industry has its own characteristics. The purpose of the work is to determine the directions of ESG transformation in retail companies, as well as tools for ensuring transparency of activities in the field of sustainable development. The methodological basis of the study was the concept of sustainable development and ESG, methods of statistical analysis, a systematic approach, scientific works of leading domestic and foreign scientists in the field of sustainable development, ESG transformation of retail companies. In the course of the work the author has identified 6 areas of ESG transformation that are most relevant and consistent with the Sustainable Development Goals and the industry specifics of the retail sector. It was revealed that there is a problem of comparability of ESG ratings and rankings from various agencies, insufficient prevalence of the practice of publishing non-financial reporting by organisations from this segment.The set of non-financial indicators proposed by the author for retail companies are grouped by areas of ESG transformation, as well as by Sustainable Development Goals. The publication of the proposed indicators in the annual report or sustainability report is intended to help management and interested stakeholders evaluate the results of ESG transformation of retail companies in more depth and detail.

Integrating human factors into the distribution model of goods and fast-moving consumer goods for effective inventory control

Multiple factors contribute to the occurrences of disruptions in workflow management within the e-commerce system that focuses on the distribution of goods and other fast-moving consumer goods (FMCG). These disruptions have particularly affected and increased lead times and caused frequent shipment delays. The causes of these disruptions, especially in the context of distribution of goods and FMCG towards inventory control, have been widely speculated upon in recent years. Given the recent interruptions, the study presented in this paper used a methodology called statistical model analysis (SMA) to study the impact of human factors (HFs) on the system performance in a warehouse distribution system. A case study was taken on a particular company called ABC and XYZ to model the impact of some specific HF such as job fatigue, and job rotation to name a few and to uncover the underlying reasons behind the ongoing disruptions within the distribution system. Specifically, the result of this study aims to provide a data-driven understanding of these issues and one of the contributions of this study is to enhance our understanding of the significance of these HFs, rather than focusing on the equipment and materials as seen in prior research. Through this data-based approach study, stakeholders in operations management, e-commerce, and the supply chain system would be well-informed in many ways to resolve the challenges faced by humans in the system towards enhancing their overall system performance.

PENGARUH OPASITAS BANK TERHADAP TINGKAT PERTUMBUHAN KREDIT DI MODERASI OLEH VARIABEL KAPITALISASI BANK, WHOLESALE FUNDING, MACROECONOMY CONDITION, DAN KUALITAS KREDIT (Studi Empiris pada Bank Umum Konvensional yang terdaftar di BEI 2018-2022)

This study aims to investigate the effect of bank opacity on loan growth rates by considering the role of bank capitalization variables, wholesale funding, macroeconomic conditions, and credit quality as moderating factors. The empirical study was conducted on Conventional Commercial Banks listed on the Indonesia Stock Exchange (IDX) during the period 2018-2022. The research method uses multiple regression analysis and moderation techniques by utilizing financial and macroeconomic data sourced from bank financial reports in Indonesia. The results of this analysis can provide insight into the impact of bank opacity on loan growth, while explaining the extent to which the variables of bank capitalization, wholesale funding, macroeconomic conditions, and credit quality moderate the relationship. The findings of this study are expected to contribute to the understanding of the factors that influence credit growth in the banking sector, particularly in the context of bank opacity. The practical implications of this study can help regulators, bank management, and other stakeholders to develop appropriate policies to improve the stability and growth of the banking sector. Keywords: bank opacity, loan growth, bank capitalization, wholesale funding, macroeconomic conditions, credit quality.

Phased post-disaster recovery challenges: 2016–2017 floods and landslides in Colombo and Kalutara, Sri Lanka

This paper aims to understand the challenges arising in individual post-disaster recovery (PDR) phases and how they contribute to overall recovery progress. It further investigates the transition of recovery from one phase to the subsequent phases of PDR. The 2016 and 2017 floods and landslides in Sri Lanka were used as the case study focusing on the two affected districts, Colombo and Kalutara. An in-depth study was conducted to explore the PDR phases from response to long-term reconstruction and development following the disaster events.A mixed methods approach was adopted where, under a qualitative approach, twenty-two semi-structured interviews with disaster management stakeholders were conducted. Moreover, on quantitative analysis, a survey questionnaire was conducted. The case study field data was supplemented with an extensive document review.The study found several factors in different PDR phases hindering long-term recovery. They include: a lack of communication and coordination mechanisms among key stakeholders in the response phase, and limited capacity and resources of local authorities in the rehabilitation phase. The challenges in recovery and long-term reconstruction and development phases were to disaster governance, collection and management of data and information, and low level of inter-agency collaboration. Some factors were recurring and continually hindered the PDR process and had a larger impact in Kalutara than in the Colombo district. Regarding the transition of recovery, there was only one transition from response and rehabilitation to the recovery phase occurred. No evidence was found for the second recovery transition from recovery to the long-term reconstruction and development phase.These findings will assist in planning future post-disaster recoveries in the region to ensure issues are anticipated, and proper planning is done ahead of time. The goal is to tackle the issues impeding long-term recovery in each PDR phase to allow a smooth and successful transition into the long-term phase.The findings of this research make an original contribution to the limited scholarship on the implications of individual PDR phases on long-term recovery.

Vendors And Multiple Virtual Stores On Cooperative ECommerce

The Vendors and Multiple Virtual Stores on Cooperative E-Commerce is integrated with the Cooperative Loan Servicing System, Stakeholders Management System, and Events Venue and Hostel Management System. The lack of provisions to offer other services on the side of the customers or buyers can result in less income, resulting in poor scalability of business growth for the grocery store. The researcher gathered data through a series of interviews and by providing questionnaires to the employees and members. Results showed a positive response from employees and members, with strongly Agreed-upon results regarding the system's System Usefulness, Information Quality, and Interface Quality. Using the Vendors and Multiple Virtual Stores on Cooperative ECommerce brought extra income to the Cooperative, which resulted in higher profit. At the same time, it provides convenience to customers by offering other services besides the existing old service, which can result in more customers and lead to higher profits and incomes. Background: A cooperative is an organization run by its members who share the benefits and profits, with productivity enhanced by integrating systems like E-commerce Multi-Store, Hostel Management, Stakeholders Management, and Loan Servicing, along with a Forecasting Model for sales trends. The Internet's evolution has transformed shopping styles, making online shopping increasingly popular and allowing consumers to shop without visiting physical stores. The Vendors and Multiple Virtual Stores on Cooperative E-Commerce aims to address operational issues, expand service reach, and generate additional income for the cooperative and its members by integrating the system into operations. Materials and Methods: The study presents an operational framework encompassing input, process, output, and outcome and emphasizes the use of the Software Development Life Cycle (SDLC) with a focus on prototyping for user feedback and refinement. Data from cooperative members and employees were gathered through interviews and questionnaires, leading to developing, testing, and validating modules for a Cooperative E-Commerce system. Results: The study involved 50 respondents, including 20 cooperative employees and 30 members. The evaluation of system usability through the Post-Study System Usability Questionnaire (PSSUQ) revealed that respondents strongly agreed on the system's usefulness (mean score: 1.29), information quality (mean score: 1.34), and interface quality (mean score: 1.28). High scores indicate that the system is easy to use, provides clear and helpful information, and has a user-friendly interface, contributing to efficient decision-making and competitive advantage for the organization. Conclusion: The integration of Vendors and Multiple Virtual Stores on the Cooperative E-Commerce platform significantly enhances cooperatives' operational efficiency, market reach, and overall business strategy, with respondents rating the system highly for usefulness, information quality, and interface quality

Assessing the impacts of temperature extremes on agriculture yield and projecting future extremes using machine learning and deep learning approaches with CMIP6 data

Climate change, particularly extreme weather events, has significantly affected various sectors, including agriculture, human health, water resources, sea levels, and ecosystems. It is anticipated that the intensity, duration, and frequency of these extremes will escalate in the future. This study aims to discover the association between temperature extremes and agricultural yield and to project these extremes using machine learning (ML) and deep learning (DL) models with CMIP6 (Coupled Model Intercomparison Project Phase 6) data under two SSPs (Shared Socioeconomic Pathways). A bi-wavelet coherence technique is employed to investigate the association, providing detailed information in both the frequency and time domains for the period of 1980–2014. Various ML and DL models are trained and tested for the periods of 1985–2004 and 2005–2014, respectively, with gradient boosting machine chosen for projecting temperature extremes based on its superior performance. Mann-Kendall test is used for trend analysis in the projected temperature extremes. The results indicate strong negative and positive associations between TN10p (Cold nights) and TN90p (Warm nights), respectively, with wheat production. Additionally, there is a long-term negative association of CSDI (Cold Spell Duration Indicator) and strong positive association of WSDI (Warm Spell Duration Indicator) with rice yield. Projected results show an increase and decrease under SSP2-4.5 and SSP5-8.5, respectively, in DTR (Diurnal Temperature Range) at most stations. TN10p will increase in the future at most stations, with exceptions such as Muree station where it decreases during 2025–2049 and then increases under both SSPs. Projections show that TXn (annual or monthly minimum value of daily maximum temp) will increase in the future, with Muree station exhibiting the lowest value close to zero, while the average maximum value is around 20 °C at Khanpur station. Trend analysis reveals significantly increasing trend in TR20 (Tropical nights) and decreasing trend in CSDI in future durations under both SSPs. These findings hold implications for policymakers and stakeholders in various departments, including agriculture, health, and water resources management.

Investigation of the impacts of the deployment of autonomous vehicles on first responders

Purpose The purpose of this study is to address the significant impact AVs will have on public services and the ability of first responders to conduct their jobs safely and effectively. Autonomous vehicles (AVs) are expected to drastically change the transportation industry, and it is vital that first responders be equipped to integrate them into their occupational responsibilities. Design/methodology/approach A systematic literature review was conducted, and following a multistep exclusion process, 161 articles were selected for detailed review. The impacts of AVs on first responders were identified, classified and categorized into lists of challenges and opportunities. Based on the findings of the literature review, a SWOT (strengths, weaknesses, opportunities and threats) analysis was conducted, and stakeholder management strategies were designed. Findings Through the examination of the impacts of AVs on first responders, 17 identified challenges and opportunities were classified into the following categories: AV-related emergency response and training, perceptions and acceptance of AVs, technology development and laws and regulations. The study revealed that the optimal benefits of AVs would require stakeholders to focus more on how they interact with first responders; thus, 14 stakeholder management strategies were identified. First responders, AV manufacturers, legislators and future research paths will all benefit from this study, as it can facilitate smooth interactions between AVs and first responders. Originality/value A range of studies have been published on the safety of AVs and the public’s perceptions of this new technology; however, the integration of AVs and their interactions with first responders has been neglected. The goal of this study was to fill that research gap by providing a thorough synthesis of autonomous driving systems in the context of their interactions with first responders.

Psychological characteristics of environmental stakeholders and interactions in their social network

This research explores the roles of (1) the stakeholder categories conservation association, land use association, public authority and research group, (2) Organizational Culture, operationalized by the Organizational Culture Assessment Instrument; (3) Environmental Worldview, operationalized by the New Environmental Paradigm; and (4) Environmental Risk Perception, operationalized by the Myths of Physical Nature, in shaping the interactions in the social network of environmental stakeholders in the city and district of Osnabrück in Northwest Germany. First, the study examines the stakeholder categories (1), regarding the expression of the constructs (2), (3) and (4) among them. Second, all constructs (1), (2), (3) and (4) are examined regarding possible correlations with the presence of collaboration and conflict between stakeholders. Our analysis reveals that (1) Stakeholder Categories are significantly correlated with the presence of collaboration, but not of conflict. (2) A significant correlation between membership of a stakeholder category and the dominant manifestation of a particular organizational culture is present, while no correlation between Organizational Cultures and the presence of collaborations or conflicts could be found. Moreover, the study highlights (3) a generally pro-environmental orientation across stakeholders as captured by the New Environmental Paradigm (NEP), indicating a shared foundation for potential collaborative efforts. (4) Analysis of Environmental Risk Perception, through the Cultural Theory’s myths of physical nature, uncovers a widespread preference for the hierarchical myth, suggesting a common perception of environmental risks and resilience. This study emphasizes the importance of understanding psychological and social dimensions in environmental stakeholder management to enhance collaborative efforts towards sustainable development. It highlights the need for management approaches that acknowledge the complex interplay of diverse psychological constructs in driving effective and sustainable collaborations between stakeholders of regional land use, nature conservation, public authorities, academia and other sectors depending on the context. Through its insights into stakeholder interactions, this research contributes to the broader discourse on achieving sustainable development goals through informed, cooperative stakeholder engagement.

Does Imbalance in ESG Dimensions Affect Firm Innovation? A Selective Stakeholder Management Approach

Does Imbalance in ESG Dimensions Affect Firm Innovation? A Selective Stakeholder Management Approach

Differential Market Value due to the Differential Stakeholder Management between Alliance Partners

Differential Market Value due to the Differential Stakeholder Management between Alliance Partners

Missing Agent Problems and the Limits to Stakeholder Management

Missing Agent Problems and the Limits to Stakeholder Management

Focused or Integrated? A Configurational Theory of Stakeholder Management for Firm Crisis Performance

Focused or Integrated? A Configurational Theory of Stakeholder Management for Firm Crisis Performance

Deploying Value Engineering Strategies for Ameliorating Construction Project Management Performance: A Delphi-SWARA Study Approach

This study was carried out to rank and prioritize the aspects that have been shown to have an impact on the improvement of construction project management (CPM) performance based on value engineering. This analysis was carried out with the Iranian construction industry’s current situation in mind. The respondents and the Delphi panel were chosen from among Iranian managers and project management professionals with a focus on building projects. These professionals had more than 20 years of experience working on international projects, and in addition to their expertise in project management, they also understood the principles of earned value analysis and value engineering. Thus, the components extracted from the literature review were used as the basis for designing a structured interview based on 39 important effective components previously determined as identified factors. The questionnaires were distributed among the experts, and the returned questionnaires were analysed using the SWARA technique to rank the weight and importance of the factors. Using the SWARA method, the opinions of the expert panel members consisting of 20 engineers and a semi-structured questionnaire was used to gather expertise in project management and managers, with a focus on Iranian CPM. As shown by the results, stakeholder management, time value of money, and worth, allocated the first to the third rank to themselves with respective weights of 0.104, 0.103, and 0.087. The sub-criteria of cost objective, function objective, and value objective were in the 37th to 39th ranks with respective weights of 0.00050, 0.00033, and 0.00021.

'Profound personal and professional impacts': A qualitative study of clinician experiences of a mental health disaster response to Australia's black summer bushfires.

To explore the experiences of clinician and management stakeholders involved in a rural/metropolitan collaborative mental health disaster response to the 2019-2020 Black Summer bushfires in the Snowy Valleys region of southern New South Wales (NSW), Australia. A mental health and drug health service in the Snowy Valleys region of rural NSW in collaboration with a mental health service from metropolitan Sydney, NSW. Mental health clinicians and managers from a rural health district (n = 6) and a metropolitan health district (n = 8) involved in a collaborative disaster response to the 2019-2020 Black Summer bushfire disaster in the Snowy Valleys region of southern NSW, Australia. An interpretive qualitative study design using semi-structured individual interviews, with transcripts analysed using Reflexive Thematic Analysis. Thematic findings on participant experiences are presented under three organising constructs of before (stepping up and jumping right in), during (finding a rhythm of working together), and after (profound personal and professional impacts) the mental health disaster response. Participant experiences had shared and distinct components before, during and after the mental health disaster response, culminating in profound personal and professional impacts. Findings highlight positive aspects and challenges for clinicians participating in a rural/metropolitan collaborative mental health disaster response. The findings of this study contribute new knowledge about experiences of mental health clinicians participating in a disaster response after bushfires, from dual perspectives of members of a bushfire-affected community and those responding from outside a bushfire-affected community, which may inform ongoing planning of responses to disaster in Australia.

Vehicle Stock Numbers and Survival Functions for On-Road Exhaust Emissions Analysis in India: 1993–2018

Road transport plays a crucial role in sustaining all the personal and freight movement needs of residential, commercial, and industrial activities, and in Indian cities, big and small, vehicle exhaust emissions and dust from vehicle movement on the roads contribute to as much as 50% of particulate matter pollution in a year. Therefore, effective management of vehicle exhaust emissions is vital not only for improving current air quality but also for ensuring the long-term benefits from efforts to reduce air pollution. In the approved clean air action plans for 131 cities under the national clean air program (NCAP), more than 50% of the implementable actions are transport-centric. Having a reliable and replicable vehicle exhaust emissions inventory is essential for effective planning, which can help establish a baseline, support scenario analysis, and allow for tracking progress in the sector. This process begins with accessing accurate vehicle stock numbers, typically obtained from vehicle registration databases, traffic surveys, and other governmental records. Often, in low- and middle-income countries like India, these numbers require extensive data cleaning before they can be used for emissions and pollution analysis. This paper presents a cleaned, open-access vehicle stock database for India and outlines a methodology to build and maintain an in-use vehicle age-mix database for future years. The database covers the years 1993 to 2018 for the entire country and individual states, along with estimates of the age distribution of vehicles using survival functions. By offering a comprehensive and reliable data source, this paper aims to support sustainable national and urban air quality management efforts, helping policymakers and stakeholders make informed decisions to improve air quality and public health.

From gavels to algorithms: The Vidhii Partners GenAI evolution

Learning outcomes This case study exposes students to the process of decision-making given the market uncertainty, evolving shareholder expectations and other variables that executives and managers must consider ensuring business continuity and growth and helps students develop an appreciation of the impact emerging technologies are having on organizational digital transformation. This case study evaluates the strategic considerations for whitespace digital solutions into existing organizational operations, balancing innovation with core operating principles; exposes the students to the drivers of fostering a culture of innovation and employee buy-in during strategic digital transformation initiatives; and evaluates and appreciates the role of key stakeholders, such as customers, employees and executive management, in shaping a successful digital transformation strategy and promoting sustained business growth. Case overview/synopsis Vidhii Partners, a leading Indian law firm, grapples with the burgeoning demand for legal services in a rapidly evolving market. Traditional methods may struggle to keep pace, prompting Vikram Wadehra, a partner, to champion the adoption of Generative artificial intelligence (GenAI) technology. Vidhii Partners embarks on the development of two GenAI tools: VidAI, an AI-powered chatbot designed to democratize access to legal information, and VidAI Pro, a business-to-business offering aimed at streamlining legal research and drafting. Wadehra envisions these tools not only enhancing efficiency but also fostering a culture of legal awareness and generating new business opportunities. However, crucial decisions remain. Can Vidhii Partners bridge the potential gap between innovation and the firm’s established practices? How can they effectively integrate GenAI into their operations while ensuring user trust and employee buy-in? This case study presents a rich opportunity to explore the challenges and opportunities associated with digital transformation in the legal sector. Students will grapple with themes such as navigating market uncertainty, fostering a culture of innovation within a traditional organization and developing effective strategies for stakeholder management during change initiatives. Through the lens of Vidhii Partners’ GenAI journey, students gain valuable insights into the complexities of embracing disruptive technologies within a dynamic business landscape. Complexity academic level This case study is designed for masters level (MBA). Supplementary materials Teaching notes are available for educators only. Subject code CSS 11: Strategy.

Unravelling the complexities of wetland agriculture, climate change, and coping mechanisms: an integrative review using economics and satellite approaches

AbstractThe flash flood-affected wetland region of Bangladesh contributes around 20–25% of the annual Boro rice production, which is vital for local, regional, and national food security. Considering the crucial significance of Boro rice and the growing susceptibility of wetland regions to flash floods and climate change, it is imperative to investigate viable approaches and adaptation methods to reduce the adverse effects on agricultural output. This review study investigated the relationships between wetlands, climate change, and coping mechanisms while incorporating economic and advanced satellite remote sensing approaches. Through a comprehensive analysis of flash flood impacts on Boro rice yield using satellite remote sensing technique, the findings revealed significant adverse effects on the vegetative reproduction of Boro rice in the study areas. Notably, flash floods in 2017 exhibited more pronounced impacts than other years (2018 and 2019), underscoring the urgency for effective and integrated coping strategies to ensure sustainable agricultural production. Consequently, the study identified and discussed probable coping strategies, including changes in cropping patterns through land suitability assessment, evaluating vulnerable areas through vulnerability mapping, analyzing yield forecasting models, and introducing a damage-based crop insurance approach to mitigate farmers’ losses. These probable adaptation strategies will offer viable solutions to address the recurrent issue of flash floods and safeguard sustainable agricultural production in the wetland areas of Bangladesh. Considering the current situation, climate change issues and probable alternative coping strategies are crucial for developing a resilient agricultural system in light of flash floods, ensuring the long-term viability of wetland agriculture. The study outcomes provide valuable insights for policymakers, researchers, and stakeholders in wetland agricultural planning and management to develop proper and long-term sustainable adaptation and mitigation strategies.