2,830 research outputs found

    Marketing management capability: the construct, and its dimensions: an examination of managers' and entrepreneurs' perceptions in a retail setting

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    Purpose – This paper explores the relationship between corporate cultural/intangible assets and marketing capabilities by examining entrepreneurs’ and manager perceptions in a retail setting. Design/methodology/approach – Nineteen face-to-face interviews were conducted with UK Small and Medium Sized Enterprise (SMEs) managers and entrepreneurs to identify six sub-capabilities that form the marketing capability. We further validated the relationship between marketing sub-capabilities and its antecedent tangible and intangible assets. The qualitative approach employed provided a deeper insight into the motivations, perceptions and association of the stakeholders behind these intangible concepts, and their relationships with their customers. Findings – The research identified that there is a strong relationship between tangible and intangible assets, their components, and the following capabilities: corporate/brand identity management, market-sensing, customer relationship, social media/communication, design/innovation management, and performance management. In addition, companies need to clearly understand what tangible and intangible assets comprise these capabilities. Where performance management is one of the key internal capabilities, companies must underscore the importance of strong cultural assets that substantially contribute to a company’s performance. Originality/value – Previous work on dynamic capability analysis is too generic, predominantly relating to the manufacturing sector, and/or focussing on using a single case study example. This study extends the concept of marketing capability in a retail setting by identifying six sub-capabilities and describing the relationship of each with tangible and intangible assets. Through extensive qualitative analysis, we provide evidence that by fully exploiting their embedded culture and other intangible components, companies ca

    Assessment of Perform Achieve and Trade (Pat), Cycle in India and Conceptualization of its Future Performance

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    In this paper, we have a tendency to analysed the experiences gained from section one of PAT theme and extract some policy lessons that may support policy manufacturers whereas coming up with future PAT theme. we have a tendency to conduct the analysis by addressing key analysis criteria i.e. price issue, energy saving certificate mercantilism, body burden for the authority and PAT cycle two outlook. It�s not in our objective to point out to the reader a normative facet of coming up with PAT theme. Rather, we have a tendency to establish some key policy lessons which might be summarized as: Targets to be achieved should be clearly expressed and government ought to give subsidies to selected shoppers to require up some major energy economical ways requiring vast monetary investment, industrial sectors to be enclosed whereas deepening of PAT has been mentioned, widening and deepening of PAT ought to be supported 2 criteria i.e. energy consumption and impact of the sectors on the setting, correct market should be discovered for ESCert�s mercantilism in terms of policy timeframe, energy potency targets mustn't solely cowl �low hanging fruits� however it ought to promote innovation

    Assessment of Perform Achieve and Trade (Pat), Cycle in India and Conceptualization of its Future Performance

    Get PDF
    In this paper, we have a tendency to analysed the experiences gained from section one of PAT theme and extract some policy lessons that may support policy manufacturers whereas coming up with future PAT theme. we have a tendency to conduct the analysis by addressing key analysis criteria i.e. price issue, energy saving certificate mercantilism, body burden for the authority and PAT cycle two outlook. It’s not in our objective to point out to the reader a normative facet of coming up with PAT theme. Rather, we have a tendency to establish some key policy lessons which might be summarized as: Targets to be achieved should be clearly expressed and government ought to give subsidies to selected shoppers to require up some major energy economical ways requiring vast monetary investment, industrial sectors to be enclosed whereas deepening of PAT has been mentioned, widening and deepening of PAT ought to be supported 2 criteria i.e. energy consumption and impact of the sectors on the setting, correct market should be discovered for ESCert’s mercantilism in terms of policy timeframe, energy potency targets mustn't solely cowl “low hanging fruits” however it ought to promote innovation

    The role of place branding and image in the development of sectoral clusters: the case of Dubai

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    This paper contextualizes how place branding and image influence the development of Dubai’s key sectoral clusters, including the key determinants of growth and success under the impression of Porter’s cluster theory. The approach is exploratory and of a qualitative inductive nature. Data was collected through conducting 21 semi-structured interviews with Dubai’s marketing/communication managers and stakeholders. Findings suggest that Dubai’s traditional clusters, namely, trading, tourism and logistics that have strong place branding and image show strong signs of success owing to Dubai’s geographical location (i.e., physical conditions). Among the new clusters, the financial sector is also benefitting from place branding. The results suggest that the success of traditional clusters have a positive spill over effect on the new clusters, in particular on construction and real estate. For policy makers it is worth to note that the recent success of the financial services cluster in Dubai will have positive impact on both, the traditional as well new clusters. The marketing and brand communication managers must consider the correlation and interplay of strength of activities amongst trading, tourism and logistics clusters and its implication while undertaking place branding for clients in their sector

    Propagation of Drought: From Meteorological Drought to Agricultural and Hydrological Drought

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    Drought is a hazard that occurs everywhere in the world (both in dry and in wet areas). Despite the controversy regarding drought changes in the last decades [1–3], increases in drought intensity are clearly identified in some areas [4] and it is believed that although increased heating from global warming may not directly cause droughts, it is expected that when droughts occur, they are likely to set in quicker and be more intense [5]. Throughout its history, China has frequently suffered from drought disasters due to its monsoon climate and was regularly hit hard by droughts over the last decades. Although little evidence of an expansion of the area affected by droughts was found in China over the last 50 years [6], severe droughts in southwestern China in 2010 and the middle/lower Yangtze Basin and Huaihe River Basin in 2011 have drawn more attention from the research community as well as from the public and governments alike on the impacts and problems brought on by drought. Poor performance by China’s emergency response management during recent major drought events highlights the necessity of improving both drought preparedness and emergency response skills

    Improving the uniformity of top emitting organic light emitting diodes using a hybrid electrode structure

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    Funding: The authors are grateful to the Engineering and Physical Sciences Research Council (grant EP/R035164/1) for financial support.Some applications of organic light-emitting diodes (OLEDs) require large area, high light output, and high uniformity. It is difficult to achieve these attributes simultaneously because of voltage drops in the contacts, which cannot easily satisfy high optical transparency and electrical conductivity simultaneously. In large area OLEDs, thin electrodes with high sheet resistance induce voltage drops across the devices, leading to non-uniform distribution of light. However, thick electrodes with low sheet resistance decrease the light output due to low transmittance. To overcome this trade-off, a multilayer hybrid electrode based on Ag (20 nm)/WO3/Ag (20 nm)/WO3 is designed to obtain high electrical conductance with low optical loss. Compared to conventional devices using a single Ag (40 nm) top electrode, there is a considerable increase in the external quantum efficiency (EQE) of the device using this electrode (from 11.5% to 25.5% at 1000 cd m−2), while maintaining similar sheet resistance. In addition, a large area (≈57 cm2) OLED with the hybrid electrode demonstrates a luminance uniformity of 77% as compared to a device using single silver electrode with uniformity of 66%. Therefore, the proposed Ag/WO3/Ag/WO3 hybrid electrode is a promising choice for the fabrication of efficient and uniform large-area OLEDs.Publisher PDFPeer reviewe

    Spontaneous Coronary Artery Dissection: A Case Series of 9 Patients With Literature Review.

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    Spontaneous coronary artery dissection is an increasingly recognized nonatherosclerotic cause of acute coronary syndrome. Reports regarding the prognosis and natural history of this disease are limited. In addition to the diagnostic difficulty, this condition poses a significant therapeutic challenge due to the lack of specific management guidelines. We present here a case series of 9 patients with spontaneous coronary artery dissection. Additionally, this article reviews the incidence, clinical characteristics, risk factors, diagnostic modalities, therapeutic approaches, and patterns of recurrence in patients with spontaneous coronary artery dissection

    Theoretical Investigation of the Deactivation of Ni Supported Catalysts for the Catalytic Deoxygenation of Palm Oil for Green Diesel Production

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    For the first time, a fully comprehensive heterogeneous computational fluid dynamic (CFD) model has been developed to predict the selective catalytic deoxygenation of palm oil to produce green diesel over an Ni/ZrO2 catalyst. The modelling results were compared to experimental data, and a very good validation was obtained. It was found that for the Ni/ZrO2 catalyst, the paraffin conversion increased with temperature, reaching a maximum value (>95%) at 300 °C. However, temperatures greater than 300 °C resulted in a loss of conversion due to the fact of catalyst deactivation. In addition, at longer times, the model predicted that the catalyst activity would decline faster at temperatures higher than 250 °C. The CFD model was able to predict this deactivation by relating the catalytic activity with the reaction temperature

    The discerning eye of computer vision: can it measure Parkinson's finger tap bradykinesia?

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    Objective: The worldwide prevalence of Parkinson's disease is increasing. There is urgent need for new tools to objectively measure the condition. Existing methods to record the cardinal motor feature of the condition, bradykinesia, using wearable sensors or smartphone apps have not reached large-scale, routine use. We evaluate new computer vision (artificial intelligence) technology, DeepLabCut, as a contactless method to quantify measures related to Parkinson's bradykinesia from smartphone videos of finger tapping. Methods: Standard smartphone video recordings of 133 hands performing finger tapping (39 idiopathic Parkinson's patients and 30 controls) were tracked on a frame-by-frame basis with DeepLabCut. Objective computer measures of tapping speed, amplitude and rhythm were correlated with clinical ratings made by 22 movement disorder neurologists using the Modified Bradykinesia Rating Scale (MBRS) and Movement Disorder Society revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS). Results: DeepLabCut reliably tracked and measured finger tapping in standard smartphone video. Computer measures correlated well with clinical ratings of bradykinesia (Spearman coefficients): -0.74 speed, 0.66 amplitude, -0.65 rhythm for MBRS; -0.56 speed, 0.61 amplitude, -0.50 rhythm for MDS-UPDRS; -0.69 combined for MDS-UPDRS. All p Conclusion: New computer vision software, DeepLabCut, can quantify three measures related to Parkinson's bradykinesia from smartphone videos of finger tapping. Objective 'contactless' measures of standard clinical examinations were not previously possible with wearable sensors (accelerometers, gyroscopes, infrared markers). DeepLabCut requires only conventional video recording of clinical examination and is entirely 'contactless'. This next generation technology holds potential for Parkinson's and other neurological disorders with altered movements

    Heuristic-based programable controller for efficient energy management under renewable energy sources and energy storage system in smart grid

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    An operative and versatile household energy management system is proposed to develop and implement demand response (DR) projects. These are under the hybrid generation of the energy storage system (ESS), photovoltaic (PV), and electric vehicles (EVs) in the smart grid (SG). Existing household energy management systems cannot offer its users a choice to ensure user comfort (UC) and not provide a sustainable solution in terms of reduced carbon emission. To tackle these problems, this research work proposes a heuristic-based programmable energy management controller (HPEMC) to manage the energy consumption in residential buildings to minimize electricity bills, reduce carbon emissions, maximize UC and reduce the peak-to-average ratio (PAR). We used our proposed hybrid genetic particle swarm optimization (HGPO) algorithm and existing algorithms like a genetic algorithm (GA), binary particle swarm optimization algorithm (BPSO), ant colony optimization (ACO), wind-driven optimization algorithm (WDO), bacterial foraging algorithm (BFA) to schedule smart appliances optimally to attain our desired objectives. In the proposed model, consumers use solar panels to produce their energy from microgrids. We also perform MATLAB simulations to validate our proposed HGPO-HPEMC (HHPEMC), and results confirm the efficiency and productivity of our proposed HPEMC based strategy. The proposed algorithm reduced the electricity cost by 25.55%, PAR by 36.98%, and carbon emission by 24.02% as compared to the case of without scheduling
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