Corporate social responsibility (CSR) is an important consideration in tourism and hospitality management, yet extensive empirical studies on how it is implemented in developing country’s context are lacking. Using qualitative methodology, this article addresses this knowledge gap by exploring CSR practices among hotels and accommodation providers in Malawi. Our findings demonstrate that a broad-based CSR agenda is slowly being pursued by certain firms although corporate philanthropy remains the major area of focus for most of the considered firms. The article further demonstrates differences in the choice of CSR agenda firms pursue can be influenced by the nature of firm’s ownership. Whereas locally owned and managed firms showed a strong orientation towards philanthropic-based CSR agenda, foreign owner/mangers favoured a broad-based CSR agenda.
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Corporate Social Responsibility affects Corporate Governance as it stretches the accountability of companies beyond its traditional boundaries. This however may conflict with the corporate objective of maximizing stockholder wealth. The paper provides an overview of various academic theories and corporate attitudes on this issue and discusses the merits and disadvantages of the two main governance modes: the stockholder mode and the stakeholder mode.
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Although critical differences exist between large companies and small- and medium-sized enterprises (SMEs), limited empirical research has been done on human resource (HR)-related corporate social responsibility (CSR). In this paper we study aging workforce management (AWM) as a component of CSR. Our study was conducted in the Netherlands through a randomly distributed online questionnaire. Managers and team leaders of 201 SMEs responded. The data were analyzed using multiple hierarchical regression analysis. Our results are twofold: first, findings suggest that CSR policies in micro organizations with fewer than five employees seem to be strongly associated with AWM; and second, that companies with a focus on integration of older workers in daily activities do not perceive their actions as HR-related. Using AWM as part of CSR helps to give insight into the role of the owner, company size and the nature of implicit CSR practices. Our study demonstrates that the use of AWM in CSR research can lead to valuable insights and therefore, our overarching research question is answered that AWM can be used when studying CSR. © 2012 Blackwell Publishing Ltd.
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The increasing amount of electronic waste (e-waste) urgently requires the use of innovative solutions within the circular economy models in this industry. Sorting of e-waste in a proper manner are essential for the recovery of valuable materials and minimizing environmental problems. The conventional e-waste sorting models are time-consuming processes, which involve laborious manual classification of complex and diverse electronic components. Moreover, the sector is lacking in skilled labor, thus making automation in sorting procedures is an urgent necessity. The project “AdapSort: Adaptive AI for Sorting E-Waste” aims to develop an adaptable AI-based system for optimal and efficient e-waste sorting. The project combines deep learning object detection algorithms with open-world vision-language models to enable adaptive AI models that incorporate operator feedback as part of a continuous learning process. The project initiates with problem analysis, including use case definition, requirement specification, and collection of labeled image data. AI models will be trained and deployed on edge devices for real-time sorting and scalability. Then, the feasibility of developing adaptive AI models that capture the state-of-the-art open-world vision-language models will be investigated. The human-in-the-loop learning is an important feature of this phase, wherein the user is enabled to provide ongoing feedback about how to refine the model further. An interface will be constructed to enable human intervention to facilitate real-time improvement of classification accuracy and sorting of different items. Finally, the project will deliver a proof of concept for the AI-based sorter, validated through selected use cases in collaboration with industrial partners. By integrating AI with human feedback, this project aims to facilitate e-waste management and serve as a foundation for larger projects.
In the last decade, the automotive industry has seen significant advancements in technology (Advanced Driver Assistance Systems (ADAS) and autonomous vehicles) that presents the opportunity to improve traffic safety, efficiency, and comfort. However, the lack of drivers’ knowledge (such as risks, benefits, capabilities, limitations, and components) and confusion (i.e., multiple systems that have similar but not identical functions with different names) concerning the vehicle technology still prevails and thus, limiting the safety potential. The usual sources (such as the owner’s manual, instructions from a sales representative, online forums, and post-purchase training) do not provide adequate and sustainable knowledge to drivers concerning ADAS. Additionally, existing driving training and examinations focus mainly on unassisted driving and are practically unchanged for 30 years. Therefore, where and how drivers should obtain the necessary skills and knowledge for safely and effectively using ADAS? The proposed KIEM project AMIGO aims to create a training framework for learner drivers by combining classroom, online/virtual, and on-the-road training modules for imparting adequate knowledge and skills (such as risk assessment, handling in safety-critical and take-over transitions, and self-evaluation). AMIGO will also develop an assessment procedure to evaluate the impact of ADAS training on drivers’ skills and knowledge by defining key performance indicators (KPIs) using in-vehicle data, eye-tracking data, and subjective measures. For practical reasons, AMIGO will focus on either lane-keeping assistance (LKA) or adaptive cruise control (ACC) for framework development and testing, depending on the system availability. The insights obtained from this project will serve as a foundation for a subsequent research project, which will expand the AMIGO framework to other ADAS systems (e.g., mandatory ADAS systems in new cars from 2020 onwards) and specific driver target groups, such as the elderly and novice.
CSRD staat voor Corporate Sustainability Reporting Directive. Via deze nieuwe wet- en regelgeving moeten bedrijven duurzaamheidsgegevens opnemen in hun jaarverslag onder andere vanuit de keten. Accountants dienen deze vervolgens te voorzien van een accountantsverklaring. Vanuit de bloembollen- en knollensector (in opdracht van de stichting Sustainable Suppliers; vertegenwoordigt 80% sector voor de droogverkoop) is er een CSRD-consortium opgericht met kernteamleden uit de keten. Royal Anthos (de brancheorganisatie voor de handel bloembollen en knollen) heeft de lead om met het consortium de toepassing van de CSRD te onderzoeken. Verwacht wordt dat een beperkt aantal bedrijven en afnemers van handelsbedrijven (vaak retailers) rapportageplichtig zullen zijn en de nodige duurzaamheidsinformatie zullen opvragen uit de keten. Tijdens de eerste CSRD-exploratie sessies kwamen vragen naar voren zoals: Kunnen producenten in de keten de data leveren? Wat wordt er van ze verwacht? Deze vragen zijn zeer geschikt om in een KIEM-aanvraag te onderzoeken, met als hoofdonderzoeksvraag: “Hoe beschikbaar en geschikt is de CSRD-data binnen de bloembollen- en knollensector bij leveranciers?”, en deelvragen: a) Welke eisen stellen afnemers aan producenten? b) In hoeverre voldoen de producenten aan de eisen? c) Hoe kunnen producenten voldoen aan deze nieuwe informatievraag? d) Welke inspanningen zijn nodig om ontbrekende data te verkrijgen? e) Welke rol hee^ bestaande certificering in de informatiebehoefte? De beoogde projectresultaten zijn: o Website CSRD Q&A bollensector: o Welke CSRD-informatie is voorhanden en wat niet (de GAP)? o Mogelijke acties om de GAP te verkleinen (laaghangend fruit) o Masterclass praktisch omgaan met CSRD (wordt omgezet naar een webinar) o Ontwikkelen van een vaktechnische publicatie en of wetenschappelijke publicatie Het KIEM-project wordt geleid en uitgevoerd door het Yuverta practoraat Circulaire Agribusiness waarin wordt samengewerkt met het Hogeschool Arnhem Nijmegen lectoraat Futureproof Control (gespecialiseerd op CSRD en reporting).
