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Der Einfluss von Kundenzufriedenheit auf die Kundenloyalitaet und die Wirkung der Wettbewerbsintensitaet am Beispiel der Gemeinschaftsverpflegungsgastronomie

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Book Series: Forschungsergebnisse der Wirtschaftsuniversitaet Wien ISBN: 9783631617359 Year: Pages: 436 Language: German
Publisher: Peter Lang International Academic Publishing Group
Subject: Business and Management
Added to DOAB on : 2019-01-15 13:32:26
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Kundenzufriedenheit und -loyalität sind zentrale Determinanten des nachhaltigen Unternehmenserfolgs – ganz besonders in der wettbewerbsintensiven Gemeinschaftsverpflegungsgastronomie. Da bislang kaum Erkenntnisse darüber vorliegen, wodurch Zufriedenheit und Loyalität in dieser Branche entstehen und wodurch die Auswirkungen der Wettbewerbsintensität abgeschwächt werden können, widmet sich diese Arbeit der Beantwortung dieser Fragen. Die empirische Überprüfung eines umfassenden theoretischen Forschungsmodells erfolgt unter anderem anhand eines PLS-Strukturgleichungsmodells. Die Ergebnisse zeigen erstmals die zentralen Zufriedenheits- und Loyalitätstreiber im Rahmen der Gemeinschaftsverpflegungsgastronomie auf, wodurch eine Optimierung des nachhaltigen Unternehmenserfolgs ermöglicht wird.

Corporate Governance, Controlling und Unternehmenserfolg

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Book Series: Controlling & Business Accounting ISBN: 9783631606919 Year: Pages: 257 Language: German
Publisher: Peter Lang International Academic Publishing Group
Subject: Sociology --- Business and Management --- Economics
Added to DOAB on : 2019-01-15 13:33:00
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Corporate Governance als Sicherstellung einer verantwortungsvollen und zielorientierten Unternehmensführung ist ein interdisziplinär intensiv diskutiertes Forschungsfeld. Dabei wird regelmäßig ein positiver Wirkungszusammenhang zwischen Corporate Governance und Unternehmenserfolg unterstellt. Diese Arbeit verfolgt das Ziel, auf Basis eines empirischen Forschungsansatzes die Wirkung zwischen «guter» Corporate Governance und dem Unternehmenserfolg zu analysieren und die erfolgsfördernde Gestaltung und Umsetzung der Corporate Governance zu untersuchen. Insbesondere dem Controlling als Mitgestalter und Begleiter des Managementprozesses kommt in diesem Zusammenhang eine zentrale Bedeutung zu, die in bisherigen Forschungsarbeiten kaum untersucht wurde.

Customer Loyalty and Brand Management

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ISBN: 9783039213351 / 9783039213368 Year: Pages: 122 DOI: 10.3390/books978-3-03921-336-8 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Media and communication
Added to DOAB on : 2019-12-09 11:49:15
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Loyalty is one of the main assets of a brand. In today’s markets, achieving and maintaining loyal customers has become an increasingly complex challenge for brands due to the widespread acceptance and adoption of diverse technologies by which customers communicate with brands. Customers use different channels (physical, web, apps, social media) to seek information about a brand, communicate with it, chat about the brand and purchase its products. Firms are thus continuously changing and adapting their processes to provide customers with agile communication channels and coherent, integrated brand experiences through the different channels in which customers are present. In this context, understanding how brand management can improve value co-creation and multichannel experience—among other issues—and contribute to improving a brand’s portfolio of loyal customers constitutes an area of special interest for academics and marketing professionals. This Special Issue explores new areas of customer loyalty and brand management, providing new insights into the field. Both concepts have evolved over the last decade to encompass such concepts and practices as brand image, experiences, multichannel context, multimedia platforms and value co-creation, as well as relational variables such as trust, engagement and identification (among others).

Forest Hydrology and Watershed

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ISBN: 9783039213856 / 9783039213863 Year: Pages: 206 DOI: 10.3390/books978-3-03921-386-3 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General)
Added to DOAB on : 2019-12-09 11:49:15
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Hydrological processes in forested watersheds are influenced by environmental, physiological, and biometric factors such as precipitation, radiation, temperature, species type, leaf area, and extent and structure of forest ecosystems. Over the past two centuries, forest coverage and forest structures have been impacted globally by anthropogenic activities, for example, forest harvesting, and conversion of forested landscapes for plantations and urbanization. In addition, since the industrial revolution, climate change has resulted in profound impacts on forest ecosystems due to higher carbon dioxide (CO2) concentration or CO2 fertilization, warmer temperatures, changes in frequency and intensity of extreme weather events and natural disturbances. As a result, hydrological processes in forested watersheds have been altered by these natural and anthropogenic factors and these changes are expected to accelerate due to future changing climatic conditions.

Sensors in Agriculture

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ISBN: 9783038974123 / 9783038974130 Year: Pages: 346 DOI: 10.3390/books978-3-03897-413-0 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-06-26 08:44:06
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Agriculture requires technical solutions for increasing production while lessening environmental impact by reducing the application of agro-chemicals and increasing the use of environmentally friendly management practices. A benefit of this is the reduction of production costs. Sensor technologies produce tools to achieve the abovementioned goals. The explosive technological advances and developments in recent years have enormously facilitated the attainment of these objectives, removing many barriers for their implementation, including the reservations expressed by farmers. Precision agriculture and ‘smart farming’ are emerging areas where sensor-based technologies play an important role. Farmers, researchers, and technical manufacturers are joining their efforts to find efficient solutions, improvements in production, and reductions in costs. This book brings together recent research and developments concerning novel sensors and their applications in agriculture. Sensors in agriculture are based on the requirements of farmers, according to the farming operations that need to be addressed.

Keywords

wireless sensor network (WSN) --- Wi-SUN --- vine --- mandarin orange --- thermal image --- fluorescent measurement --- X-ray fluorescence spectroscopy --- visible and near-infrared reflectance spectroscopy --- heavy metal contamination --- spectral pre-processing --- feature selection --- machine-learning --- LiDAR --- light-beam --- plant localization --- Kinect --- leaf area index --- radiative transfer model --- neural networks --- GF-1 satellite --- wide field view --- big data --- geo-information --- plant phenotyping --- grapevine breeding --- Vitis vinifera --- ambient intelligence --- wireless sensor --- fuzzy logic --- smart irrigation --- virtual organizations of agents --- CIE-Lab --- precision plant protection --- optical sensor --- weed control --- classification --- NIR hyperspectral imaging --- chemometrics analysis --- weeds --- UAS --- RPAS --- one-class --- machine learning --- remote sensing --- geoinformatics --- plant disease --- pest --- deep convolutional neural networks --- real-time processing --- detection --- hyperspectral imaging --- soil type classification --- total nitrogen --- texture features --- data fusion --- Fusarium --- near-infrared --- spectroscopy --- hulled barely --- partial least squares-discriminant analysis --- remote sensing --- precision agriculture --- crop monitoring --- data fusion --- speckle --- diffusion --- scattering --- biological sensing --- apparent soil electrical conductivity --- ECa-directed soil sampling --- electromagnetic induction --- proximal sensor --- response surface sampling --- salt tolerance --- boron tolerance --- soil mapping --- soil salinity --- spatial variability --- irrigation --- energy balance --- water management --- semi-arid regions --- on-line vis-NIR measurement --- total nitrogen --- total carbon --- spiking --- gradient boosted machines --- artificial neural networks --- random forests --- rice --- striped stem-borer --- hyperspectral imaging --- texture feature --- data fusion --- greenhouse --- wireless sensor network --- data fusion --- dynamic weight --- dataset --- agriculture --- obstacle detection --- computer vision --- cameras --- stereo imaging --- thermal imaging --- LiDAR --- radar --- object tracking --- crop area --- remote sensing image classification --- area frame sampling --- stratification --- regression estimator --- agriculture --- meat spoilage --- vegetable oil --- quality assessment --- electronic nose --- electrochemical sensors --- spectral analysis --- feature selection --- genetic algorithms --- classification --- vegetation indices --- vineyard --- diseases --- spatial data --- sensor --- data fusion --- change of support --- geostatistics --- precision agriculture --- management zones --- event detection --- back propagation model --- multivariate water quality parameters --- time-series data --- spatial-temporal model --- connected dominating set --- water supply network --- SS-OCT --- Capsicum annuum --- germination --- salt concentration --- deep learning --- clover-grass --- precision agriculture --- dry matter composition --- proximity sensing --- 3D reconstruction --- RGB-D sensor --- crop inspection platform --- water depth sensors --- soil moisture sensors --- temperature sensors --- rice field monitoring --- irrigation --- silage --- packing density --- moisture content --- compound sensor --- simultaneous measurement --- birth sensor --- bovine embedded hardware --- ambient intelligence --- virtual organizations of agents --- Fusarium --- near infrared --- discrimination --- hulled barely --- naked barley --- wheat --- dielectric probe --- apple shelf-life --- dielectric dispersion --- electronic nose --- pest scouting --- pest management --- gas sensor --- noninvasive detection --- nitrogen --- near infrared sensors --- drying temperature --- SPA-MLR --- PLS --- CARS --- hyperspectral camera --- handheld --- sensor evaluation --- case studies --- soil --- moisture --- sensor --- landslide --- rice leaves --- chromium content --- laser-induced breakdown spectroscopy --- laser wavelength --- preprocessing methods --- agricultural land --- field crops --- land cover --- photograph-grid method --- remote sensing --- data validation and calibration --- mobile app --- wireless sensor networks (WSN) --- energy efficiency --- distributed systems --- processing of sensed data --- WSN distribution algorithms --- recognition patterns --- agriculture

Sensors in Agriculture

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ISBN: 9783038977445 / 9783038977452 Year: Pages: 354 DOI: 10.3390/books978-3-03897-745-2 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-06-26 08:44:06
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Abstract

Agriculture requires technical solutions for increasing production while lessening environmental impact by reducing the application of agro-chemicals and increasing the use of environmentally friendly management practices. A benefit of this is the reduction of production costs. Sensor technologies produce tools to achieve the abovementioned goals. The explosive technological advances and developments in recent years have enormously facilitated the attainment of these objectives, removing many barriers for their implementation, including the reservations expressed by farmers. Precision agriculture and ‘smart farming’ are emerging areas where sensor-based technologies play an important role. Farmers, researchers, and technical manufacturers are joining their efforts to find efficient solutions, improvements in production, and reductions in costs. This book brings together recent research and developments concerning novel sensors and their applications in agriculture. Sensors in agriculture are based on the requirements of farmers, according to the farming operations that need to be addressed.

Keywords

wireless sensor network (WSN) --- Wi-SUN --- vine --- mandarin orange --- thermal image --- fluorescent measurement --- X-ray fluorescence spectroscopy --- visible and near-infrared reflectance spectroscopy --- heavy metal contamination --- spectral pre-processing --- feature selection --- machine-learning --- LiDAR --- light-beam --- plant localization --- Kinect --- leaf area index --- radiative transfer model --- neural networks --- GF-1 satellite --- wide field view --- big data --- geo-information --- plant phenotyping --- grapevine breeding --- Vitis vinifera --- ambient intelligence --- wireless sensor --- fuzzy logic --- smart irrigation --- virtual organizations of agents --- CIE-Lab --- precision plant protection --- optical sensor --- weed control --- classification --- NIR hyperspectral imaging --- chemometrics analysis --- weeds --- UAS --- RPAS --- one-class --- machine learning --- remote sensing --- geoinformatics --- plant disease --- pest --- deep convolutional neural networks --- real-time processing --- detection --- hyperspectral imaging --- soil type classification --- total nitrogen --- texture features --- data fusion --- Fusarium --- near-infrared --- spectroscopy --- hulled barely --- partial least squares-discriminant analysis --- remote sensing --- precision agriculture --- crop monitoring --- data fusion --- speckle --- diffusion --- scattering --- biological sensing --- apparent soil electrical conductivity --- ECa-directed soil sampling --- electromagnetic induction --- proximal sensor --- response surface sampling --- salt tolerance --- boron tolerance --- soil mapping --- soil salinity --- spatial variability --- irrigation --- energy balance --- water management --- semi-arid regions --- on-line vis-NIR measurement --- total nitrogen --- total carbon --- spiking --- gradient boosted machines --- artificial neural networks --- random forests --- rice --- striped stem-borer --- hyperspectral imaging --- texture feature --- data fusion --- greenhouse --- wireless sensor network --- data fusion --- dynamic weight --- dataset --- agriculture --- obstacle detection --- computer vision --- cameras --- stereo imaging --- thermal imaging --- LiDAR --- radar --- object tracking --- crop area --- remote sensing image classification --- area frame sampling --- stratification --- regression estimator --- agriculture --- meat spoilage --- vegetable oil --- quality assessment --- electronic nose --- electrochemical sensors --- spectral analysis --- feature selection --- genetic algorithms --- classification --- vegetation indices --- vineyard --- diseases --- spatial data --- sensor --- data fusion --- change of support --- geostatistics --- precision agriculture --- management zones --- event detection --- back propagation model --- multivariate water quality parameters --- time-series data --- spatial-temporal model --- connected dominating set --- water supply network --- SS-OCT --- Capsicum annuum --- germination --- salt concentration --- deep learning --- clover-grass --- precision agriculture --- dry matter composition --- proximity sensing --- 3D reconstruction --- RGB-D sensor --- crop inspection platform --- water depth sensors --- soil moisture sensors --- temperature sensors --- rice field monitoring --- irrigation --- silage --- packing density --- moisture content --- compound sensor --- simultaneous measurement --- birth sensor --- bovine embedded hardware --- ambient intelligence --- virtual organizations of agents --- Fusarium --- near infrared --- discrimination --- hulled barely --- naked barley --- wheat --- dielectric probe --- apple shelf-life --- dielectric dispersion --- electronic nose --- pest scouting --- pest management --- gas sensor --- noninvasive detection --- nitrogen --- near infrared sensors --- drying temperature --- SPA-MLR --- PLS --- CARS --- hyperspectral camera --- handheld --- sensor evaluation --- case studies --- soil --- moisture --- sensor --- landslide --- rice leaves --- chromium content --- laser-induced breakdown spectroscopy --- laser wavelength --- preprocessing methods --- agricultural land --- field crops --- land cover --- photograph-grid method --- remote sensing --- data validation and calibration --- mobile app --- wireless sensor networks (WSN) --- energy efficiency --- distributed systems --- processing of sensed data --- WSN distribution algorithms --- recognition patterns --- agriculture

Advances in Food Analysis

Authors: ---
ISBN: 9783039217427 / 9783039217434 Year: Pages: 488 DOI: 10.3390/books978-3-03921-743-4 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Mathematics
Added to DOAB on : 2019-12-09 11:49:16
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This Topical Collection of Molecules provides the most recent advancements and trends within the framework of food analysis, confirming the growing public, academic, and industrial interest in this field. The articles broach topics related to sample preparation, separation science, spectroscopic techniques, sensors and biosensors, as well as investigations dealing with the characterization of macronutrients, micronutrients, and other biomolecules. It offers the latest updates regarding alternative food sources (e.g., algae), functional foods, effects of processing, chiral or achiral bioactive compounds, contaminants, and every topic related to food science that is appealing to readers. Nowadays, the increasing awareness of the close relation among diet, health, and social development is stimulating demands for high levels of quality and safety in agro-food production, as well as new studies to fill gaps in the actual body of knowledge about food composition. For these reasons, modern research in food science and human nutrition is moving from classical methodologies to advanced instrumental platforms for comprehensive characterization. Nondestructive spectroscopic and imaging technologies are also proposed for food process monitoring and quality control in real time.

Keywords

cuprous oxide nanoparticles --- reduced graphene oxide --- modified electrode --- sunset yellow --- second-derivative linear sweep voltammetry --- clenbuterol --- systematic evolution of ligands by exponential enrichment --- real-time quantitative PCR --- high-throughput sequencing technology --- aptamers --- gold nanoparticles biosensor --- carbamates --- multiple reaction monitoring (MRM) --- enhanced product ion (EPI) --- mass fragmentation --- confirmatory method --- pesticide residues --- Croatian wines --- biogenic amines --- HPLC --- geographical origin --- polyelectrolyte composite film --- nitrite detection --- differential pulse voltammetry --- cyclic voltammetry --- mycotoxin --- dimerization --- HRMS --- NMR --- fruit jams --- food security --- phenolic acids --- quercetin --- agro-biodiversity --- HPLC fingerprint --- Polygonatum cyrtonema --- saccharides --- oligosaccharides --- fructose --- HPLC–QTOF–MS/MS --- steaming --- essential oil --- extraction techniques --- hops extracts --- hydrodistillation --- Marynka strain --- microwave-assisted hydrodistillation --- anthocyanins --- bioactive compounds --- Box–Behnken design --- microwave-assisted extraction --- myrtle --- Myrtus communis --- phenolic compounds --- Chia seed oil --- polyunsaturated fatty acid --- antioxidant --- lipid-lowering effect --- collagen peptide --- HPLC fingerprint --- antioxidant --- anti-inflammatory --- spectrum-effect relationship --- amino acids --- carbohydrates --- acidity --- polarity --- molecular weight --- Tricholoma matsutake --- Pol gene --- qualitative and quantitative PCR --- DNA extraction --- ?-blockers --- metabolites --- milk powder --- Q-Orbitrap --- rosé wines --- white wines --- bottle aging --- flavor profile --- closures --- anthocyanins --- bioactive compounds --- Box–Behnken design --- ultrasound-assisted extraction --- myrtle --- Myrtus communis L. --- phenolic compounds --- food safety --- kiwifruit (Actinidia chinensis) --- molecular identification --- phylogeny --- DNA barcode --- hard clams --- Meretrix lyrata --- lipid classes --- fatty acids --- phospholipids --- molecular species of phospholipid --- high resolution mass spectrometry --- impedimetric aptasensor --- screen-printed interface --- bifunctional polymer arms --- PAT detection --- apple juice --- chiral --- chiral stationary phases --- enantiomers --- food --- review --- Piper methysticum (kava) --- kavalactones --- flavokavains --- UHPLC-UV --- mass spectra --- isomerization --- single-laboratory validation --- quality control --- Lactarius deliciosus --- chemical composition --- antioxidant --- antihyperglycemic --- ?13C-IRMS --- fatty acids composition --- 1H-NMR --- walnut varieties --- poultry eggs --- thiamphenicol --- florfenicol --- florfenicol amine --- ASE --- UPLC-FLD --- Sojae semen praeparatum (SSP) --- fermentation --- conversion --- ultra-fast liquid chromatography (UFLC)–TripleTOF MS --- principal component analysis (PCA) --- microalgae --- Scenedesmus --- supercritical fluid extraction --- carotenoids --- fat-soluble vitamins --- antioxidants --- fruit juice --- blends --- adulteration --- 1H NMR --- PLS --- chemometrics --- natural mature honey --- immature honey --- chemometric analysis --- multi-physicochemical parameters --- food quality --- IMS --- food composition --- food process control --- food authentication --- food adulteration --- food safety --- antibiotics --- liquid chromatography mass spectrometry --- milk --- muscle --- validation

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