open_access
Refine
Has Fulltext
- yes (45)
Document Type
- Article (30)
- Master's Thesis (5)
- Course Material (3)
- Other (3)
- Book (2)
- Bachelor Thesis (1)
- Report (1)
Language
- English (45) (remove)
Is part of the Bibliography
- yes (45)
Keywords
- COVID-19 pandemic (3)
- Resilience (3)
- Supply chain (3)
- Refugees (2)
- Ripple effect (2)
- Supply chain resilience (2)
- Abduction (1)
- Adaptation (1)
- Analysis (1)
- Applied Mathematics (1)
Institute
- FB I - Wirtschaftswissenschaften (22)
- FB II - Duales Studium Wirtschaft/Technik (10)
- FB V - Polizei und Sicherheitsmanagement (4)
- Business Management M.Sc. (3)
- FB III - Allgemeine Verwaltung (3)
- International Business Management (IBMAN) B.A. (1)
- International Security Management (M.A.) (1)
- Unternehmensgründung und -nachfolge B.A. (1)
The question to be answered in this thesis is whether Germany’s democratic system can be shown to affect its cybersecurity strategy (CSS) when comparing it to countries with similar and less democratic governance systems. Therefore, cybersecurity strategies of the United States, Germany and China were compared – one full democracy, one flawed democracy and one autocratic country. Analysed was whether those strategies are defensive or offensive, thus more pacifistic or belligerent. It can be concluded that democracies are pacifistic in a dyadic way in cyberspace. There exist normative constraints for offensive cyber operations and strategies, which do not exist in autocratic countries. A public debate is taking place. Besides, power in democracies is decentralised, and various institutional control mechanisms exist. The industry is independent of the government, and leaders need to be accountable to their people. In addition, there is a difference between full and flawed democracies. There exist more constitutional and normative constraints that hinder the country to conduct offensive cyber operations in the full democracy, Germany. Those constraints are less strong in the US. Institutional and normative democratic deficits seem to increase a country’s offensiveness. Nevertheless, influential might as well be other factors, such as the fact, that the US was for years the world’s superpower and is embedded in a system of allies. China communicates its adherence to active defence, but the cybersecurity frame is used by the CCP to keep itself in power. Therefore, various means like economic espionage or technical information controls mechanisms are used.
Combinations of art and products are a classic and current topic. Examples like the collaboration of the Medici with artists in the Renaissance or the logo development of Chupa Chups by Salvador Dali are historical examples. The BMW art cars by Jeff Koons and Cao Fei or the art‐based special editions of Louis Vuitton bags are current best practices. All these cases expected a positive impact of art on the product or brand evaluation. This spillover effect was coined “art infusion effect” by Hagtvedt and Patrick. This, as well as further studies on the art infusion effect, are predominantly concerned with classical fine arts. However, despite an observable increase of urban arts‐brands collaborations, the effects of these have not been researched. Our study determines that graffiti and street art are perceived by consumers as art. To confirm the art infusion effect for urban art, a laboratory experiment was conducted. The presence of urban art has a favourable influence on the evaluation of products. These results replicate and extend the findings of Hagtvedt and Patrick. As drivers of the urban art infusion effect, we also identify two additional drivers: the fit between the art and the product and the “lifestyle perception”.
Can the State of Tamilnadu, India Transform to Clean Renewable Energy 100% Zero Emissions by 2060?
(2022)
Shaping a Sustainable Future
(2022)
This book gives insights into important factors that are shaping effective learning for sustainability and describes innovative teaching formats that will enable students to contribute to a more sustainable world in their future role as decision makers. Basic concepts in the context of sustainability-related teaching and learning are defined and the relation between learning objectives, methods, skills and outcomes is conceptualised. The book’s detailed description of 23 teaching formats, including their learning objectives, course contents and structure, as well as applied methods aims at supporting lecturers and trainers in the design of their own teaching formats. With conbtributions by Pilar Acosta, Bimal Arora, Hasret Balcioglu, Diana Bank Weinberg, Maria Angeles Bustamante Gallego, Silke Bustamante, Julen Castillo-Apraiz, Helen Chiappini, Arrate Lasa Elguezua, Iñaki Etaio Alonso, Diego Rada Fernandez de Jauregui, Irene Garnelo-Gomez, Jonatan Miranda Gomez, Zsuzsanna Győri, Tony Henshaw, Igor Hernandez Ochoa, Mark Hoyle, Maria V. Ilieva, Divya Jyoti, Achilleas Karayiannis, Prashan S. M. Karunaratne, Philipp Kenel, William Kitch, Tetiana Kravchenko, Idoia Larretxi Lamelas, Edurne Simón Magro, Olaia Martinez Gonzalez, Martina Martinovic, Virginia Navarro Santamaria, Maria, Nemilentseva, Rana Parweeen, Andrea Pelzeter, Daria Podmetina, Manuel Quirós, Ellen Saltevo, Marina Schmitz, Elena Senatorova, Kai Shaman, Aušrinė Šilenskytė, Julia Solovjova, Unai Tamayo Orbegozo, Marko, Torkkeli, Itziar Txurruka Ortega, Gustavo Vargas-Silva, Anna Young-Ferris and Chuan Yu.
This work comprises several materials related to the innovative higher education teaching format “Engaging for Sustainability“. It aims to support educators in designing and implementing sustainability- and responsibility-related teaching by presenting the module description, the course outline, the teaching approaches, methods and exercises used as well as an resource overview. The work was developed within the framework of the ERASMUS+ project “EFFectiveness Of Responsibility Teaching“ (EFFORT) (see: https://effort.lehre.hwr-berlin.de/home).
The EFFORT Controlling Tool represents an instrument that can be used in order to evaluate the effectiveness of teaching formats related to sustainability and responsibility. It comprises two standardized questionnaires: a pre-course questionnaire that needs to be completed by format participants prior to participation and a post-course questionnaire that needs to be filled out afterwards. The work published here includes paper-pencil-versions of the pre- and post-course questionnaires along with some general information respective the tool and its application. It was developed within the framework of the ERASMUS+ project “EFFectiveness Of Responsibility Teaching“ (EFFORT) (see: https://effort.lehre.hwr-berlin.de/home).
This work shows the results of the effectiveness testing of several higher education teaching formats/courses that are dealing with sustainability and/or responsibility and presents a variety of factors influencing teaching effectiveness. It was developed within the framework of the ERASMUS+ project “EFFectiveness Of Responsibility Teaching“ (EFFORT) (see: https://effort.lehre.hwr-berlin.de/home).
This paper assesses the relationship between decision util-ity and experienced utility of recreational nature visits.The former is measured as the travel cost to reach that siteas routinely used by the travel cost method (TCM), andthe latter is operationalized through visit-related subjec-tive well-being (SWB). As such, the analysis is a test ofconvergent validity by examining whetherex anteTCM-based assessment of recreational value reflecting decisionutility corresponds to statedex postSWB, reflecting expe-rienced utility. It explores to what extent utility revealedby counts of nature visits are associated with self-reported,visit-related SWB relating to that same visited site. Theanalysis uses two existing datasets providing informationon (i) 3672 recreational visits to green/blue spaces inEngland over the course of four years and (ii) 5937 recrea-tional visits to bluespace sites across 14 European coun-tries over one year. Results show a positive associationbetween travel cost and visit-related SWB while control-ling for trip frequency and a large set of covariates,suggesting convergent validity of the two utility concepts.A breakdown by travel mode suggests this relationshiponly holds for trips involving motorized transport and isnot present for habitual, chore-like walking visits to therecreational site.
This paper examines empirically the importance of equity
preferences for the formation of international environmen-
tal agreements (IEA) for transboundary pollution control.
Although it has been shown theoretically that the existence
of equity preferences among countries considering an IEA
increases the chances for formation and stability of a coali-
tion, empirical assessments of such preferences have been
limited to climate change mitigation and single-country
studies. We consider the case of marine plastic pollution, of
which a large share consists of food and beverage con-
tainers, representing a transboundary pollution control
problem of increasing policy concern, with properties that
lead to distinct considerations for equity and the sharing of
abatement costs. We employ a coordinated choice experi-
ment in the United Kingdom and United States to assess
preferences for abatement-cost allocations in a marine plas-
tics IEA. Pairs of cooperating countries and the relative
allocation of abatement costs are varied experimentally.
Results show systematic aversion to both advantageous and
disadvantageous inequality with respect to abatement costs
but also that the relative strength of advantageous and dis-
advantageous inequality aversion differs across countries.
Across both countries, there is evidence that left-leaning
voters generally favor more equal international sharing of
abatement costs. Differences of these results from the case
of greenhouse gas emission reduction, and implications for
current efforts to establish a legally binding global treaty on
marine plastic pollution, are discussed.
Shark incidents are rare and graphic events, and their
consequences can influence the behavior of beach users,
including bathers, to a great extent. These incidents can
be thought of as a fearsome risk that may lead decision
makers to overreact or respond with inaction. This paper
examines the reaction of recreational beach users, includ-
ing bathers, to changes in the risk of shark incidents. In
addition to valuing recreational visits to Durban Beach,
South Africa, we study the reaction of beach visitors to a
hypothetical scenario in which protective shark nets,
deployed in coastal waters to protect bathers, are to be
removed. To examine potential heterogeneity of the treat-
ment effect in a travel cost-contingent behavior model, we
develop a semiparametric multivariate Poisson lognormal
(MPLN) model to jointly analyze observed and stated visit
counts. Results show that removing protective shark nets
at Durban beach would decrease recreational visits by
more than 20%. Applying the semiparametric MPLN
model we further find that both the value of a recreational
visit and the predicted change in visitation rates vary as a
function of whether recreationists usually enter the water,
whether they have heard of previous shark incidents, and
their general risk attitude.
The shrimp sector in Ecuador is the second most important in the country and has begun a process of energy transition through the electrification of its operations, moving from the use of diesel for pumping water and aerating the farming ponds, towards the connection to the electrical grid. This energy transition leads to investments in infrastructure and generates an impact on different variables of the sector, such as its productivity, exports, greenhouse gas emissions, social impacts, among others. This study develops a methodology to analyze the energy transition of the sector through electrification scenarios.
In Chapter 1, an introduction to the study to be carried out and the motivation are presented. Chapter 2 shows a review of the literature on the energy transition and the energy situation of the country and the shrimp farming sector. Chapter 3 establishes the scenario analysis framework, as well as proposes the use of the Energy Transition Index as inspiration to analyze the energy transition of the shrimp farming sector. Chapter 4 indicates the methodology to carry out the specific analysis and evaluation. Chapter 5 develops the nine established dimensions of the energy transition applied to the sector. Chapter 6 highlights the critical findings, and finally, in Chapter 7 the conclusions, recommendations and limitations of the study are provided.
This guidebook and its research results stem from the interregional collaboration of the STOB regions project.
The project, funded by the EU Commission, Interreg Europe, deals with the specific characteristics and challenges of business succession in small and medium enterprises (SME) in the European Union and addresses the complexity of the entire transfer process.
From the first thoughts of an owner to sell the business to the actual
transfer and beyond. Fundamentally, the project addresses all types of successions and transfers of business: family-internal transfers to, e.g., children and external transfers to investors or employees.
It also includes shared solutions where only (a part of the) management is handled externally, and ownership is not (or just partly) transferred.
In the context of global democratic crises and pervasive neoliberal policies, civil society organizations (CSOs) play a critical role in promoting democratic processes and advancing social change on local, national, and transnational scales. However, such organizations also (need to) grapple with how they themselves put social justice and democratic principles into practice, and resist coloniality within. This article examines these questions in the case of People Powered–Global Hub for Participatory Democracy, a recently found transnational CSO that advocates globally for participatory democracy as a mechanism for social change and employs these principles in its own governance and operations. The analysis focusses on the creation of People Powered and its first year of practice. Drawing upon decolonial frameworks—and based on our own experiences as founding members of People Powered and our reading of interviews and documents—we identify concrete practices through which the organization seeks to enact epistemic justice, shift power, and emphasize relationality. We argue that People Powered's decolonial roots, collectively articulated values and commitments, radical transparency, and its consistent employment of meaningful participation and reflexivity have built and are likely to sustain this transnational solidarity for social change. At the same time and perhaps critical for fostering solidarity and social change in the long term, People Powered embraces, rather than evades, tensions and contradictions that emerge in these efforts.
We contribute to the recent debates on demand and growth regimes in modern finance-dominated capitalism linking them to the post-Keynesian research on macroeconomic policy regimes. We examine the demand and growth regimes, as well as the macroeconomic policy regimes for the big four Eurozone countries, France, Germany, Italy and Spain, for the periods 2001–2009 and 2010–2019. First, our approach supports the usefulness of the identification of demand and growth regimes according to growth contributions of the main demand components and financial balances of the macroeconomic sectors. This allows for an understanding of the demand sources of growth, or stagnation, if there is a lack of demand, of how these sources are financed and of potential financial instabilities and fragilities. Second, when it comes to the macroeconomic policy drivers of demand and growth regimes, as well as their respective changes, we show that the exclusive focus on fiscal policies, as in the previous literature, is too limited and that it is the macroeconomic policy regime which matters here, i.e. the combination of monetary, fiscal and wage policies, as well as the open economy conditions.
Sraffian supermultiplier models, as well as Kaleckian distribution and growth models that make use of non-capacity creating autonomous demand growth to cope with Harrodian instability, have paid little attention to the financial side of autonomous demand growth as the driver of the system. Therefore, we link the issue of Harrodian instability in Kaleckian models driven by non-capacity creating autonomous demand growth with the associated financial dynamics. For a simple model with autonomous government expenditure growth, zero interest rates and no consumption out of wealth, we find that adding debt dynamics does not change the results obtained by Skott (2017) based on Lavoie's (2016) model without debt, each published in this journal. Hence, in this simple model, the long-run equilibrium is stable if Harrodian instability is not too strong and the autonomous growth rate does not exceed a maximum given by the long-run equilibrium saving rate. Introducing interest payments on government debt as well as consumption out of wealth into the model, however, changes the stability requirements: First, the autonomous growth rate of government expenditures should not fall short of the exogenous monetary interest rate. Second, this growth rate should not exceed a maximum given by the saving rate in the long-run equilibrium net of the propensity to consume out of wealth. Third, Harrodian instability may be almost as strong as in the simple model without violating long-run overall stability, particularly if the propensity to consume out of wealth is low. We claim that irrespective of the relevance or irrelevance of Harrodian instability, it is necessary to introduce financial variables into models driven by non-capacity creating autonomous demand in order to assess the long-run (in-)stability and sustainability of growth.
Businesses and governments are becoming increasingly concerned about the resilience of supply chains and calling for their review and stress testing. In this conceptual essay, we theorize a human-centred ecosystem viability perspective that spans the dimensions of resilience and sustainability and can be used as guidance for the conceptualization of supply chain resilience analysis in the presence of long-term crises. Subsequently, we turn to the technological level and present the digital supply chain twin as a contemporary instrument for stress testing supply chain resilience. We provide some implementation guidelines and emphasize that although resilience assessment of individual supply chains is important and critical for firms, viability analysis of intertwined supply networks and ecosystems represents a novel and impactful research perspective. One of the major outcomes of this essay is the conceptualization of a human-centred ecosystem viability perspective on supply chain resilience.
Exiting the COVID-19 pandemic: after-shock risks and avoidance of disruption tails in supply chains
(2021)
Entering the COVID-19 pandemic wreaked havoc on supply chains. Reacting to the pandemic and adaptation in the “new normal” have been challenging tasks. Exiting the pandemic can lead to some after-shock effects such as “disruption tails.” While the research community has undertaken considerable efforts to predict the pandemic’s impacts and examine supply chain adaptive behaviors during the pandemic, little is known about supply chain management in the course of pandemic elimination and post-disruption recovery. If capacity and inventory management are unaware of the after-shock risks, this can result in highly destabilized production–inventory dynamics and decreased performance in the post-disruption period causing product deficits in the markets and high inventory costs in the supply chains. In this paper, we use a discrete-event simulation model to investigate some exit strategies for a supply chain in the context of the COVID-19 pandemic. Our model can inform managers about the existence and risk of disruption tails in their supply chains and guide the selection of post-pandemic recovery strategies. Our results show that supply chains with postponed demand and shutdown capacity during the COVID-19 pandemic are particularly prone to disruption tails. We then developed and examined two strategies to avoid these disruption tails. First, we observed a conjunction of recovery and supply chain coordination which mitigates the impact of disruption tails by demand smoothing over time in the post-disruption period. Second, we found a gradual capacity ramp-up prior to expected peaks of postponed demand to be an effective strategy for disruption tail control.
Increased electricity consumption along with the transformations of the energy systems and interruptions in energy supply can lead to a blackout, i.e., the total loss of power in an area (or a set of areas) of a longer duration. This disruption can be fatal for production, logistics, and retail operations. Depending on the scope of the affected areas and the blackout duration, supply chains (SC) can be impacted to different extent. In this study, we perform a simulation analysis using anyLogistix digital SC twin to identify potential impacts of blackouts on SCs for scenarios of different severity. Distinctively, we triangulate the design and evaluation of experiments with consideration of SC performance, resilience, and viability. The results allow for some generalizations. First, we conceptualize blackout as a special case of SC risks which is distinctively characterized by a simultaneous shutdown of several SC processes, disruption propagations (i.e., the ripple effect), and a danger of viability losses for entire ecosystems. Second, we demonstrate how simulation-based methodology can be used to examine and predict the impacts of blackouts, mitigation and recovery strategies. The major observation from the simulation experiments is that the dynamics of the power loss propagation across different regions, the blackout duration, simultaneous unavailability of supply and logistics along with the unpredictable customer behavior might become major factors that determine the blackout impact and influence selection of an appropriate recovery strategy. The outcomes of this research can be used by decision-makers to predict the operative and long-term impacts of blackouts on the SCs and viability and develop mitigation and recovery strategies. The paper is concluded by summarizing the most important insights and outlining future research agenda toward SC viability, reconfigurable SC, multi-structural SC dynamics, intertwined supply networks, and cross-structural ripple effects.
The COVID-19 pandemic has wreaked havoc across supply chain (SC) operations worldwide. Specifically, decisions on the recovery planning are subject to multi-dimensional uncertainty stemming from singular and correlated disruptions in demand, supply, and production capacities. This is a new and understudied research area. In this study, we examine, SC recovery for high-demand items (e.g., hand sanitizer and face masks). We first developed a stochastic mathematical model to optimise recovery for a three-stage SC exposed to the multi-dimensional impacts of COVID-19 pandemic. This allows to generalize a novel problem setting with simultaneous demand, supply, and capacity uncertainty in a multi-stage SC recovery context. We then developed a chance-constrained programming approach and present in this article a new and enhanced multi-operator differential evolution variant-based solution approach to solve our model. With the optimisation, we sought to understand the impact of different recovery strategies on SC profitability as well as identify optimal recovery plans. Through extensive numerical experiments, we demonstrated capability towards efficiently solving both small- and large-scale SC recovery problems. We tested, evaluated, and analyzed different recovery strategies, scenarios, and problem scales to validate our approach. Ultimately, the study provides a useful tool to optimise reactive adaptation strategies related to how and when SC recovery operations should be deployed during a pandemic. This study contributes to literature through development of a unique problem setting with multi-dimensional uncertainty impacts for SC recovery, as well as an efficient solution approach for solution of both small- and large-scale SC recovery problems. Relevant decision-makers can use the findings of this research to select the most efficient SC recovery plan under pandemic conditions and to determine the timing of its deployment.