A modern üzleti környezetben a márkaépítés szerepe túlmutat a termékek és szolgáltatások azonosításán: alapvető tényezővé vált a vállalati siker szempontjából. A vezetői énmárka és a munkáltatói márka fontos stratégiai eszközként jelenik meg a versenyelőny elérésében, a lojalitás és az elkötelezettség növelésében. Az énmárka, mint az egyéni értékek és képességek tudatos kommunikációja, segíti a vezetőket a hitelesség és bizalom erősítésében.
A vezetői énmárka a vezető személyiségének és vezetői stílusának olyan koherens összefoglalása, amely inspiráló példaként szolgál a szervezeten belül. Emellett a munkáltatói márka a vállalati kultúrát és munkahelyi értékeket tükrözi, amely vonzóvá teheti a szervezetet a tehetséges munkavállalók számára. A tanulmány célja, hogy bemutassa, miként járulhat hozzá az énmárka, ezen belül a vezetői énmárka és a munkáltatói márka együttesen a vállalat eredményesebb működéséhez, rámutatva a márkázás különböző szintjeinek szinergiájára és ezek gazdasági, társadalmi hatásaira.
Natânie Bigolin Narciso, Pâmela Niederauer Pompeo, Dilmar Baretta
et al.
A alteração na estrutura natural da paisagem afeta condições abióticas e promove uma resposta biológica da comunidade local. A diversidade de organismos edáficos está relacionada com a diversidade de outros táxons e características abióticas, representando potenciais bioindicadores do ecossistema. O objetivo deste trabalho foi identificar quais atributos do solo explicam a comunidade de coleópteros e explorar seus efeitos por meio da modelagem espacial. O estudo foi desenvolvido em três paisagens do oeste de Santa Catarina (Brasil) localizadas em: Chapecó, Pinhalzinho e São Miguel do Oeste. Os sistemas de uso e cobertura do solo identificados foram: plantio direto, floresta nativa, pastagem, plantio de eucalipto, integração lavoura-pecuária e capoeira. Foram realizadas coletas de solo, liteira e coleópteros. A seleção das variáveis foi realizada pela Análise de Táxons Indicadores de Limiares e a modelagem espacial pela Geoestatística. Maiores valores de resistência a penetração associados ao sistema de plantio direto promoveram menor abundância de coleópteros da família Staphylinidae, condicionadas pela porosidade total do solo. Menores valores de umidade volumétrica, identificados em sistema plantio direto próximo de fragmentos de vegetação nativa, promoveram maior abundância da família Nitidulidae, em razão da adaptabilidade da família ao ambiente seco. A tendência de maior concentração de carbono microbiano em áreas de vegetação nativa explicou a maior abundância da família Chrysomelidae nessas áreas, em decorrência dos hábitos fitófagos das espécies dessa família. Dessa forma, a comunidade de coleópteros possui potencial como bioindicador da qualidade do solo e suas relações com os atributos físicos — químicos e microbiológicos — do solo podem ser modeladas espacialmente por meio da Geoestatística.
Hale Pamukçu, Pelin Soyertaş Yapıcıoğlu, Mehmet İrfan Yeşilnacar
This study majorly aimed to determine the effect of optimization on transport routes on the reduction of greenhouse gas (GHG) emissions from municipal solid waste management (MSM) within the scope of European Union (EU) Green Deal. Optimization of collection and transportation routes has been regarded as an effective methodology in order to mitigate the GHG emissions of municipal waste management, recently. Optimization of routes has been obtained using ant colony algorithm (ACA) and Monte Carlo simulation, in this study. In this context, this study investigated to reduce GHG emissions from municipal waste management using optimization of transportation routes in Diyarbakir city in Turkey. Firstly, GHG emissions which are carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O) emissions from waste collection and transport have been calculated using a new developed model based on Tier-I method. Then, Monte Carlo simulation has been used to figure out the GHG emissions. Finally, life cycle assessment (LCA) approach has been applied to determine the GHG emissions. According to the route optimization resulting ACA methodology, nearly 47.43% of reduction on each GHG emissions. Approximately, 58%, 38% and 51% of reduction on CO2, CH4 and N2O emissions respectively has been achieved, in the result of the route optimization using Monte Carlo simulation. The results of LCA methodology revealed that the reduction reached up 45.71% on GHG emissions in terms of Global Warming Potential (GWP). The reduction amounts have been overlapped with each other.
Introduction/Main Objectives: The study proposed is written based on the results of quantitative research and the analysis of the theory and practice of leadership. The study's main objective is to determine the essential traits of a leader for effective interaction with team members. Background Problems: Most research on this topic chose a leader's traits based on analyzing literary sources rather than on empirical research. Novelty: The traits for the most effective collaboration between leader and team members were chosen by potential and actual members of the leader's team, namely students and teachers of the University. Research Methods: We conducted a questionnaire survey of 103 teachers and 421 Bogomolets National Medical University (Kyiv) students. The statistical analysis was carried out using Wald Test. Finding/Results: The research confirmed that both respondent categories admitted the importance of all leadership traits. At the same time, such traits as passion, effectiveness, self-confidence, determination, and ability to take risks appeared to be more significant for the students than for the teachers. The teachers ranked such a trait as decency higher than the students did. Also, such issues as the importance of organizational culture, ethical aspects of leadership, and the most effective leadership style for productive interaction with team members were examined. Conclusion: This study proposed complex recommendations for creating the most productive model of the interaction between the leader and team members based on the data obtained.
Precise knowledge about the soil organic carbon (SOC) content in cropland soils is one requirement to design and execute effective climate and food policies. In digital soil mapping (DSM), machine learning algorithms are used to predict soil properties from covariates derived from traditional soil mapping, digital elevation models, land use, and Earth observation (EO). However, such DSM models are trained for a specific dataset and region and have so far only allowed limited general statements to be made that would enable the models to be transferred to different regions. In this study, we test the transferability of SOC models for cropland soils using five different covariate groups: multispectral soil reflectance composites (satellite), soil legacy data (soil), digital elevation model derivatives (terrain), climate parameters (climate), and combined models (combined). The transferability was analyzed using data from two federal states in southern Germany: Bavaria and Baden-Wuerttemberg. First, baseline models were trained for each state with combined models performing best in both cases (<i>R</i><sup>2</sup> = 0.68/0.48). Next, the models were transferred and tested with soil samples from the other state whose data were not used during model calibration. Only satellite and combined models were transferable, but accuracy declined in both cases. In the final step, models were trained with samples from both states (mixed-data models) and applied to each state separately. This process significantly improved the accuracies of satellite, terrain, and combined models, while it showed no effect on climate models and decreased the models based on soil covariates. The experiment underlines the importance of EO for the transfer and extrapolation of DSM models.
Olívia Prado Schiavon, Márcia Ramos May, Andréa Torres Barros Batinga de Mendonça
Purpose – The study aims to understand how dynamic capabilities (DCs) contribute to business model innovation (BMI) in sustainable family farming. The agrifood sector has been seeking solutions for the development of agroecological markets. Thus, the authors have analyzed the challenges imposed to innovation and sustainability strategic management and the value proposition to sustain the business over the years. Design/methodology/approach – Considering the complexity of organizations and through an exploratory multiple case study of initiatives identified in the Organic Fair of Curitiba’s Passeio Público, it was possible to analyze the evolution of the business models (BMs) and the fair itself. Furthermore, it was possible to identify the DCs within the influence of agroecosystem elements on the innovation development. Findings – Analyzing each case individually, the authors understood the different dimensions of the evolution of BMs considering the organizational complexity. The authors conclude that the balance between organizational practices and changes in the environment, engagement and learning plays a significant role in the developing competitive advantage. The same applies to the patterns that precede the development of DCs and BMs. Originality/value – The article investigates innovation in agroecological BMs from a dynamic capability perspective. The agroecological BM is a subject that is still little discussed in the literature. In addition, the authors chose a context that includes socioenvironmental aspects and a few specificities of family farming in Brazil.
Even though enormous expectations for greenhouse gas mitigation in the land use sector exist at the same time worries about potential implications for sustainable development have been raised as many Sustainable Development Goals (SDGs) are closely tied to developments in the sector. Here we assess the implications of achieving selected key SDG indicators for Zero Hunger, Clean Water and Sanitation, Responsible Consumption and Production, and Life on Land on the land-based climate change mitigation potential. We find that protecting highly biodiverse ecosystems has profound impacts on biomass potentials (−30% at >12 US dollar per gigajoule) while other SDGs mainly affect greenhouse gas abatement potentials. Achieving SDGs delivers synergies with greenhouse gas abatement and may even in the absence of additional mitigation policies allow to realize up to 25% of the expected greenhouse gas abatement from land use required to stay on track with the 1.5 °C target until 2050. Future land use mitigation policies should consider and take advantage of these synergies across SDGs.
„Otthon nélkül nem ember az ember.”– Talmud, Jevámot 63a.
A tanulmány alapjául szolgáló kutatás a Práter utcai melegedőt látogató hajléktalan emberek városhasználatával foglalkozik. Egy kérdőíves adatfelvétel elemzése alapján rekonstruálom, hogy a válaszadók hol töltötték el a napjukat, merre jártak, mivel közlekedtek, mikor, mit csináltak. A nappali melegedőben felvett kérdőívek a hajléktalan társadalom sokrétűségét mutatják, ennek kutatása és feltérképezése a városi társadalmak megértésének és fejlesztésének egyaránt fontos eleme. A kérdőíveket adatalapú, térképalapú és videóalapú elemzéssel dolgoztam fel. A különböző megjelenítési formák újfajta látásmódok kialakításához járulhatnak hozzá és segíthetnek a hajléktalanság komplexitásának megértésében. A válaszadók mobilitásának morfológiáját vizsgálva lokális, globális és „otthona az út” típusú közlekedőket azonosíthatunk. Emellett csoportosíthatjuk a részvevőket életkoruk, lakhatási formájuk, tömegközlekedési szokásaik és a hajléktalan létben eltöltött idejük szerint. Az egyes csoportok eltérően használják a várost, a város kínálta lehetőségeket; morfológiai viselkedésüket vizsgálva megfigyelhetők ismétlődő, hasonló elemek, amelyek mintázatokká állnak össze. A kutatás egyik eredményének a tömegközlekedésben rejlő potenciál felismerését tekintem. A tömegközlekedést használók aránya a megkérdezett hajléktalan emberek között kifejezetten magas, ezért a tömegközlekedési eszközök az ellátórendszert nem használók elérésének és segítésének egyik helyszínévé válhatnának.
History (General) and history of Europe, Economic history and conditions
Abstract. The purpose of this study is to identify whether environmental concern,
consumers‟ perceptions, health consciousness, subjective norms, and attitude have a
positive relationship towards organic food purchase intention. The type of research
used for this study is descriptive research with non probability sampling design. The
number of respondents was 202 respondents. Hypotheses were tested using Structural
Equations Model (SEM). The results showed that there are three unsupported
hypotheses out of five hypotheses. Supported hypotheses are hypothesis 2 and
hypothesis 5. The supported hypotheses are consumers‟ perceptions and attitude.
Furthermore, this research showed that consumers‟ perceptions and attitude have a
positive relationship toward purchase intention.
Anusuiya Singh, Anil Kumar Patel, Mukund Adsul
et al.
Lignocellulosic (LC) biomass is abundantly available as a low-cost resource on the Earth. LC conversion into energy carriers is the most accepted alternative energy production policy because it is non-competitor to food or feed. LC ethanol has brought cellulases to the forefront which was otherwise lost in oblivion during last decades. LC biomass can be converted into value added products or into sugars by various routes, e.g., thermo-chemical, chemical, or biological methods. Biological route via enzymes is one of the most eco-friendly and feasible method. Both fungi and bacteria are known to degrade biomass. Fungi have been greatly exploited for cellulase production due to their inherent properties of secreting extracellular cellulase. These microorganisms are known as cellulase producers for many decades, however, to bring the enzymatic biomass conversion to an economically feasible status, extensive research efforts have been made in last decade to enhance cellulase titers. Mutations and genetic interventions along with bioprocess development have played a very important role for enhancing cellulase production. This review will present a critical overview of the on-going research towards improving cellulase production for biofuel industry via genetic modification, which will include mutation and genetic engineering employed to exert changes at genetic level in microorganisms.
Fuel, Energy industries. Energy policy. Fuel trade