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Lead Time Quotation under MTO and MTS Delivery Modes with Endogenous Demand
No full textInternational audienceWe consider the case of a company that sells two substitutable varieties of the same product in a lead time-sensitive market. The regular product is manufactured and delivered with a make-to-order (MTO) system. The express product is delivered with a make-to-stock (MTS) system. The products (express and regular) are substitutable, so the demand of each product depends not only on his lead time but also on the lead time of the other product. We focus on the lead time decision of the MTO system (the other parameters are assumed to be known). We determine analytically the optimal solution and derive some insights
Perceptional components of brand equity: Configuring the Symmetrical and Asymmetrical Paths to brand loyalty and brand purchase intention
No full textInternational audienceThis research investigates the impact of brand perception on brand loyalty and brand purchase intention using the lenses of complexity theory. First, the study conceptualizes and operationalizes perceptional and behavioral components of brand equity. It then examines the dimensions of brand perception, and by assessing the consequences of favorable brand perception, the study enables a better understanding regarding whether a brand marketing approach helps to improve marketing performance. The research was conducted using a mixed methodology, beginning with interviews in order to gain a better understanding of the relationship between the dimensions of brand perception. These were followed by a questionnaire survey, and the resulting data were analyzed through content analysis and fuzzy-set qualitative comparative analysis (fsQCA). The results indicate that brand awareness, perceived quality, brand association, brand fondness, brand image, and product country image have a strong impact on the management of brand perception. The finding illustrates that it is the combinations of various perceptional elements of brand equity rather than any single factor that have strong impacts on brand loyalty and brand purchasing intention. The results support the importance of brand perception for the fashion industry, which needs to be more interactive in order to increase their customers' brand loyalty and brand purchasing intention
Does knowledge retrieval improves work efficiency? An investigation under multiple systems use
No full textInternational audienceOrganizations encourage active knowledge retrieval from knowledge management systems; however, this does not always lead to higher work efficiency. Anchoring on uses and gratifications theory and psychology of sunk cost, this study investigates knowledge workers’ knowledge retrieval behavior and its subsequent impact on their work efficiency under three knowledge management systems, which differ in the creators of the systems and their related contents. Survey and interview data were collected from an IT call-center company. The results show knowledge workers who actively retrieved knowledge from the organization-created system that contains self-created content exhibited higher work efficiency. The results also show they obtained gratifications from actively retrieving knowledge from a self-made system; however, due to the workers’ biased perceptions toward that system, knowledge retrieval from a self-made system did not induce higher work efficiency. The findings provide organizations suggestions for designing knowledge management systems and their related contents
Starbuck’s – A Storm in a Coffee Cup
No full textStarbucks, which is rated as one of the world's most trusted and respected brands, suffered a huge setback when two 23-year-old African-American entrepreneurs were arrested in a Philadelphia Starbucks on suspicion of trespassing. The case documents the unraveling of events and turmoil which engulfed the company.Starbucks, which is rated as one of the world's most trusted and respected brands, suffered a huge setback when two 23-year-old African-American entrepreneurs were arrested in a Philadelphia Starbucks on suspicion of trespassing. The case documents the unraveling of events and turmoil which engulfed the company
Production planning with order acceptance and demand uncertainty
No full textInternational audienceTraditional production planning models assume that all orders must be satisfied when capacity is available. In this paper, we analyze the value of providing decision makers with the flexibility to accept or reject orders, when order quantity is uncertain. We introduce this demand flexibility in two production planning problems. The first problem integrates order acceptance in the capacitated lot sizing problem, providing the option to reject an order if it requires a high setup cost and cannot be aggregated with additional orders to take advantage of economies of scale. The second problem integrates order acceptance in the order release planning problem with load-dependent lead times (LDLTs). This problem provides the option to reject an order if it increases the workload causing the delay of other orders due to congestion effects. Robust counterparts of both integrated problems are formulated as linear mixed integer programs (MIPs). The deterministic integrated problems and their robust counterparts are shown to be NP-hard and a two-stage MIP heuristic is proposed as a solution procedure. A relax and fix (RF) heuristic is adapted to efficiently construct feasible solutions to the robust problems, which are then improved by a fix and optimize (FO) heuristic. Numerical results show that the proposed heuristics give promising results in terms of solution quality and computation time. Simulation experiments are conducted to assess the value of demand flexibility and to study the effects of various parameters on economical performance
A global network topology of stock markets: Transmitters and receivers of spillover effects
No full textInternational audienceThis paper applies a bivariate cross-quantilogram approach to examine the spillover network structure in the stock markets of 58 countries according to bearish, normal and bullish market scenarios. Our aim is to identify the strongest interdependencies, the directionality of the spillover risk effects, and to detect those equity markets with the potential to cause global systemic risk. The results highlight the role of the US and Canadian equity markets as major spillover transmitters, while the stock markets of Romania, Taiwan and Mexico act mainly as spillover receivers. Particularly strong spillovers are observed from the Canadian and US equity markets towards the Irish market, and from the Brazilian equity market towards the Kenyan equivalent. The equity market networks suggest that only the US equity market can trigger systemic risk on a global scale. Implications of the results are discussed
A High-Frequency Analysis of Price Resolution and Pricing Barriers in Equities on the Adoption of a New Currency
No full textInternational audienceWe use ultra high frequency (trade by trade) data to demonstrate that equity price clustering and pricing predictability around psychologically important prices in Greece switches away from drachma-focused with the introduction of the euro, but does not immediately switch to euro-clustering. The change in trader price focus around the euro introduction addresses an open debate in the clustering literature on whether the presence of clustering is a bias related to current prices or anchoring to past prices. Our findings of a decline in drachma clustering, but lack of switch to euro effects supports the case for clustering being a trading feature that is slow to transfer to new pricing regimes. A key advantage of the ultra high frequency dataset is we are also able to demonstrate the presence of psychological pricing barriers related to each currency that are not detectable in daily data
Commerce Omni-canal : vers quels dispositifs de maillage entre points de contact ?
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Understanding the interplay between covariance forecasting factor models and risk-based portfolio allocations in currency carry trades
No full textInternational audienceWith the exception of naive methods for portfolio selection, such as the equal weighted approaches, all other methods of portfolio allocation are more or less sensitive to the quality of the inputs considered in constructing the models and risk measures utilised in the allocation framework. The extensively used factor model proposed initially by Sharpe has provided a robust backdrop for development of relevant, micro, macro and context specific or asset specific explanatory variables to be incorporated in a statistical manner as inputs to forecasting models that can then be used to obtain risk measures upon which portfolio allocations are based. However, like all statistical models a set of statistical assumptions accompany this factor model regression framework, one of which has recently been highlighted as seemingly non-validated in financial data. This is of course the assumption such factor models make on homoskedasticity or weak sense covariance stationarity of the returns processes being modelled. Such factor models, therefore have typically failed to cope with an important and ubiquitous feature of financial assets data which often demonstrates heteroskedasticity of the returns variances and covariances
Factors influencing Co₂ emissions in China: a nonlinear autoregressive distributed lags investigation
No full textInternational audienceThis paper investigates the environmental impact of economic growth, energy consumption, financial development, and globalization in China over the period 1970Q1-2015Q4. In particular we consider four dimensions of globalization, namely, economic, social, political, and overall globalization. The nonlinear autoregressive distributed lags (NARDL) model has been employed to capture the potential asymmetric impact of the determinants of carbon dioxide (CO₂) emissions in China. This work presents a number of interesting findings. (1) In the short run, economic growth and financial development have a significant symmetric impact on CO₂ emissions. Energy consumption has a nonlinear and asymmetric influence on CO₂ emissions. However, economic globalization does not impact CO₂ emissions. (2) In the long run, economic growth, financial development, and economic globalization exhibit an asymmetric influence on CO₂ emissions in the model, including the economic dimension of globalization. Economic growth has a positive and symmetric impact on CO₂ emissions in the model, including social globalization; however, it does not influence CO₂ emissions in the case of political or overall globalization. In addition, energy consumption is positively linked to CO₂ emissions. Moreover, financial development does not influence CO₂ emission in the models, including social, political, and overall globalization. Social and overall globalization have a significant influence on CO₂ emissions. The results of this paper are important for policies that would promote sustainable development and environment protection