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Over the past decade, the proliferation of entrepreneurial ventures and small firms with sustainable business models have pushed the sustainability agenda in the fashion industry. Despite prominent success stories, these companies often encounter significant operative challenges that hinder growth or even cause business failure. This paper adopts a qualitative research design and uses data gathered during 18 expert interviews with entrepreneurs and executive managers of 18 firms from 13 countries to identify and explore the dominant challenges that micro- and small-sized sustainable fashion companies struggle with. The results indicate that communicating with consumers is perceived as surprisingly difficult, especially because sustainable brands need to justify higher prices and explain the added benefits of their products. Second, resource constraints lead to operative friction and overburdening of the decision makers and their small management teams. Third, sustainable sourcing and production processes are economically difficult in an industry that continues to occupy a mass and low-cost logic. Against the background of these insights, a range of managerial recommendations are developed and contextualized in the framework of the Business Model Canvas. This novel approach makes the suggestions which are rooted in the resource-based view actionable and supports sustainable businesses to better manage their operations and achieve growth. For example, collaborative approaches with different stakeholders may mitigate constraints across all three identified problem areas.
Logistikunternehmen haben es bei der Suche nach neuen Standorten zunehmend schwerer, da geeignete Standorte immer knapper werden und ihnen wachsende Widerstände entgegenstehen: Umweltverbände und Anwohner*innen kritisieren Luftverschmutzung, Flächenverbrauch, Beeinträchtigungen des Landschaftsbilds und Zunahme des Verkehrslärms; die Lokalpolitik bevorzugt häufig Unternehmen mit höheren Gewerbesteueraufkommen und mehr (hochqualifizierten) Arbeitsplätzen. Der Druck auf die Logistikbranche, nachhaltigere Konzepte der Flächennutzung zu entwickeln und umzusetzen steigt. Zielsetzung des Artikels ist es, Ansätze aufzuzeigen, wie die Flächennutzung in der Logistik optimiert werden kann. Ein wichtiges Lösungsfeld ist auf Basis des Logistikmodells von Pfohl (2010) vor allem in den Bereichen der Flächenplanung zu verorten. Als Grundlage des Artikels wurde eine systematische Literaturrecherche durchgeführt. Die Ergebnisse zeigen Möglichkeiten auf, wie Unternehmen und Kommunen durch eine frühzeitige Planung zur Optimierung von Flächennutzung für logistische Prozesse beitragen können. Die sorgfältige Planung eines Lagers und die damit einhergehende Nutzung von effizienten Lagersystemen, verringern die benötigte Fläche und sorgen für verbesserte Prozesse im Bereich der Lager- und Umschlagslogistik. Auch lassen sich ggf. neue Lagerflächen vermeiden, wenn die bereits genutzten Flächen optimiert werden.
In recent years, various studies have highlighted the opportunities of artificial intelligence (AI) for our society. For example, AI solutions can help reduce pollution, waste, or carbon footprints. On the other hand, there are also risks associated with the use of AI, such as increasing inequality in society or high resource consumption for computing power. This paper explores the question how corporate culture influences the use of artificial intelligence in terms of sustainable development. This type of use includes a normative element and is referred to in the paper as sustainable artificial intelligence (SAI). Based on a bibliometric literature analysis, we identify features of a sustainability-oriented corporate culture. We offer six propositions examining the influence of specific manifestations on the handling of AI in the sense of SAI. Thus, if companies want to ensure that SAI is realized, corporate culture appears as an important indicator and influencing factor at the same time.
Information systems (IS) play a central role in promoting corporate sustainability and pro-environmental behavior. This study explores the use of mobile apps for fostering sustainability-oriented corporate culture. It accentuates issues relating to sustainability-oriented corporate culture (RQ1), app meta-requirements as a strategic approach to addressing these issues (RQ2), as well as design and implementation principles (RQ3). Referring to the literature on sustainability apps, gamification, and nudging, our qualitative research design combines an analysis of four corporate apps intending to promote sustainable behavior and expert interviews (Grounded Theory). The proposed framework supports the planning, realization, and monitoring of this targeted app use. Single cultural dimensions inform seven issues in culture development. Five meta-requirements address this multi-dimensionality, challenges provided by new digital working environments, and principles of Green IT. Four design principles support, extend, and integrate current knowledge on app features, nudging, and gamification. Five variables determine the app intervention and maturity level. We conclude that this targeted app use should intend to foster the sustainability orientation within all dimensions of corporate culture instead of being limited to promoting sustainable behavior.
Hintergrund
Demografisch bedingt wird sich die Anzahl pflegebedürftiger Menschen weiter erhöhen. Tragende Säule der pflegerischen Versorgung sind ihre Angehörigen, die den Großteil der Pflegeaufgaben übernehmen. Dies hat jedoch oftmals Auswirkungen auf ihre eigene Gesundheit und ihr Wohlbefinden.
Methodisches Vorgehen
Mit dem Fragebogen zur Angehörigenresilienz und -belastung (FARBE) liegt ein Instrument vor, um sowohl die Resilienz als auch Belastung pflegender Angehöriger zu ermitteln. Der Fragebogen wurde im Rahmen der Pflegestudie des VdK-Sozialverbands genutzt und von 12.475 Angehörigen komplett ausgefüllt. Durch eine multiple lineare Regression wurden Einflüsse und ihre Wirkstärke auf die Resilienz und Belastung analysiert.
Ergebnisse
Angehörige von Menschen mit Demenz, Depression oder hohem Pflegegrad weisen eine stärkere Belastung auf. Demenz und Depression mindern zudem die Resilienz. Positiv wirkt sich die soziale Unterstützung aus. Ebenso bedingt ein höheres Alter eine stärkere Resilienz.
Schlussfolgerungen
Im Ergebnis dieser Arbeit gelang eine Identifikation von relevanten Einflussfaktoren. Dies ermöglicht, Unterstützungs- und Entlastungsangebote auf ihre Anwendung und Wirksamkeit zu überprüfen. Besondere Bedeutung haben Unterstützungsangebote für Angehörige von Menschen mit Demenz, Depression und/oder höheren Pflegegraden. Stressreduzierende Maßnahmen und das Bilden sozialer Netzwerke für Angehörige können weitere Maßnahmen zur Stärkung der Resilienz und Abschwächung von Belastung sein.
HRM processes are increasingly AI-driven, and HRM supports the general digital transformation of companies’ viable competitiveness. This paper points out possible positive and negative effects on HRM, workplaces, and workersorganizations along the HR processes and its potential for competitive advantage in regard to managerial decisions on AI implementation regarding augmentation and automation of work.
A systematic literature review that includes 62 international journals across different disciplines and contains top-tier academic and German practitioner journals was conducted. The literature analysis applies the resource-based view (RBV) as a lens through which to explore AI-driven HRM as a potential source of organizational capabilities.
The analysis shows four ambiguities for AI-driven HRM that might support sustainable company development or might prevent AI application: job design, transparency, performance and data ambiguity. A limited scholarly discussion with very few empirical studies can be stated. To date, research has mainly focused on HRM in general, recruiting, and HR analytics in particular.
The four ambiguities’ context-specific potential for capability building in firms is indicated, and research avenues are developed.
This paper critically explores AI-driven HRM and structures context-specific potential for capability building along four ambiguities that must be addressed by HRM to strategically contribute to an organization’s competitive advantage.
Aims and Objectives:
Preventive home visits are a low-threshold counselling and support approach. They have been reported to achieve heterogeneous effects. However, preventive home visits have the potential to reduce the risk of becoming dependent on long-term care. The aim of this study is to investigate the effect of preventive home visits as a nursing intervention on health-related quality of life of older people in a longitudinal survey and to develop recommendations for which target groups preventive home visits have the highest benefit. The sample consisted of 75 people, aged between 65 and 85, who were able to understand and speak German, had not yet been eligible for benefits from the long-term care insurance and lived in the municipality under study.
Methodological Design and Justification:
A quantitative longitudinal study in order to investigate the effects of preventive home visits.
Ethical Issues and Approval:
There were no ethical concerns. Accordingly, ethical approval was granted.
Research Methods, Results and Conclusions:
The health-related quality of life was recorded four times between 01/2017 and 08/2020 with the Short-Form- Health- Survey- 12 and analysed using descriptive statistics. Results reveal that the physical health status cannot be easily influenced over a short period of time. The main effect, however, is that preventive home visits have a significant positive effect on the mental health status. The main topics during the home visits were mobility, nutrition and social participation. Increased knowledge and motivation for preventive behaviour extended the autonomy of older people. Accordingly, preventive home visits can support a self-determined life in a familiar environment. The results of the present study show that preventive home visits as a nursing intervention in rural areas are successful. In Germany, preventive home visits have not yet been implemented on a regular basis. In order to do so, a general definition of the concept is needed. Preventive home visits should be officially included in the regular health care services in Germany.
The distribution of a species along a thermal gradient is commonly approximated by a unimodal response curve, with a characteristic single optimum near the tempera‐ture where a species is most likely to be found, and a decreasing probability of occur‐rence away from the optimum. We aimed at identifying thermal response curves (TRCs) of European freshwater species and evaluating the potential impact of climate warming across species, taxonomic groups, and latitude. We first applied generalized additive models using catchment‐scale global data on distribution ranges of 577 freshwater species native to Europe and four different temperature variables (the current annual mean air/water temperature and the maximum air/water temperature of the warmest month) to describe species TRCs. We then classified TRCs into one of eight curve types and identified spatial patterns in thermal responses. Finally, we in‐tegrated empirical TRCs and the projected geographic distribution of climate warm‐ing to evaluate the effect of rising temperatures on species’ distributions. For the different temperature variables, 390–463 of 577 species (67.6%–80.2%) were char‐acterized by a unimodal TRC. The number of species with a unimodal TRC decreased from central toward northern and southern Europe. Warming tolerance (WT = maxi‐mum temperature of occurrence—preferred temperature) was higher at higher lati‐tudes. Preferred temperature of many species is already exceeded. Rising temperatures will affect most Mediterranean species. We demonstrated that fresh‐water species’ occurrence probabilities are most frequently unimodal. The impact of the global climate warming on species distributions is species and latitude depend‐ent. Among the studied taxonomic groups, rising temperatures will be most detri‐mental to fish. Our findings support the efforts of catchment‐based freshwater management and conservation in the face of global warming.
Niche-based species distribution models (SDMs) have become an essential tool in conservation and restoration planning. Given the current threats to freshwater biodiversity, it is of fundamental importance to address scale effects on the performance of niche-based SDMs of freshwater species’ distributions. The scale effects are addressed here in the context of hierarchical catchment ordering, considered as counterpart to coarsening grain-size by increasing grid-cell size. We combine fish occurrence data from the Danube River Basin, the hierarchical catchment ordering and multiple environmental factors representing topographic, climatic and anthropogenic effects to model fish occurrence probability across multiple scales. We focus on 1st to 5th order catchments. The spatial scale (hierarchical catchment order) only marginally influences the mean performance of SDMs, however the uncertainty of the estimates increases with scale. Key predictors and their relative importance are scale and species dependent. Our findings have useful implications for choosing proper species dependent spatial scales for river rehabilitation measures, and for conservation planning in areas where fine grain species data are unavailable.
Land cover change is a dynamic phenomenon driven by synergetic biophysical and socioeconomic effects. It involves massive transitions from natural to less natural habitats and thereby threatens ecosystems and the services they provide. To retain intact ecosystems and reduce land cover change to a minimum of natural transition processes, a dense network of protected areas has been established across Europe. However, even protected areas and in particular the zones around protected areas have been shown to undergo land cover changes. The aim of our study was to compare land cover changes in protected areas, non-protected areas, and 1 km buffer zones around protected areas and analyse their relationship to climatic and socioeconomic factors across Europe between 2000 and 2012 based on earth observation data. We investigated land cover flows describing major change processes: urbanisation, afforestation, deforestation, intensification of agriculture, extensification of agriculture, and formation of water bodies. Based on boosted regression trees, we modelled correlations between land cover flows and climatic and socioeconomic factors. The results show that land cover changes were most frequent in 1 km buffer zones around protected areas (3.0% of all buffer areas affected). Overall, land cover changes within protected areas were less frequent than outside, although they still amounted to 18,800 km2 (1.5% of all protected areas) from 2000 to 2012. In some parts of Europe, urbanisation and intensification of agriculture still accounted for up to 25% of land cover changes within protected areas. Modelling revealed meaningful relationships between land cover changes and a combination of influencing factors. Demographic factors (accessibility to cities and population density) were most important for coarse-scale patterns of land cover changes, whereas fine-scale patterns were most related to longitude (representing the general east/west economic gradient) and latitude (representing the north/south climatic gradient).