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Our research examines why retailers offer, not one, but multiple store brands in some product categories. More specifically, we are interested in how certain product category characteristics affect the number of store brands. We model a product category consisting of two incumbent national brands that may differ in strength. The retailer may introduce one or two store brands depending on which maximizes category profits. Our analysis suggests that the retailer is likely to carry two store brands in categories where (i) the national brands are similar in strength; and (ii) the price sensitivity between the national brands is low. Interestingly, the conditions that support the introduction of more than one store brand are quite different than the conditions that would facilitate the introduction of additional national brands. We provide empirical evidence that support our model-based predictions.  相似文献   
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The use of mobile devices by consumers and the accompanying response by retailers is rapidly revolutionizing the retail environment. In the past, retailers have focused primarily on the outcome (to purchase or not to purchase) of the consumer decision process, but now mobile technologies give retailers the opportunity to more actively influence the entire consumer decision-making processes. The increasing use of mobile devices by consumers makes shopping a continuous rather than discrete activity that requires retailers to engage with their customers at critical touch points of the decision process in order to provide a more customer-centric experience. This change in focus from the decision outcome to the decision process signifies an important paradigm shift for the retailing industry. After an extensive review of the literature, we identify four pillars that form the foundation for the mobile shopping revolution and represent the essential ways and means through which retailers can engage with consumers during the decision process. We also discuss the different areas in which the pillars can enable retailers to achieve a sustainable competitive advantage in the mobile shopping era.  相似文献   
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Religion is an important cultural and individual difference variable. Yet, despite its obvious importance in consumers’ lives, religion in the United States has been under-researched. This study addresses that gap in the literature and investigates the influence of consumer religion in the buyer–seller dyad. Specifically, this study examines the influence of consumer religious commitment and a Christian consumer’s conservative beliefs in the United States on store loyalty when retailers make business decisions which are potentially reli- gious objectionable. This study uses structural equation modeling and applies Anderson and Gerbing’s (Psychol Bull 103(3):411–423, 1988) two-step approach to exam- ine data obtained from a national sample of 531 consumers. The results from this study suggest that consumers evaluate seller’s actions and form ethical judgments. These judgments are a major explanatory variable in consumer store loyalty intentions.  相似文献   
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The decomposition of the organic peroxide is exothermic, and that heat can be utilized for the desired or expected reactions by the polymers or emulsion. However, the unwanted decomposition of these peroxides (when present alone not with other polymers or emulsions) generates heat which is not dissipated properly and can cause serious problems. Looking at these obvious disadvantages one would be convinced that, there is an urgent and desirable requirement for the development of alternate reliable methods to predict self-accelerating decomposition temperature (SADT) for organic peroxides. Predictions for SADT were built with a dataset of organic peroxides by the application of the criterion of “Index of Ideality of Correlation (IIC).” Here, the advantage of the target functions which are calculated with taking into account the IIC is demonstrated. The IIC is a mathematical function of two variables: (a) correlation coefficient; and (b) MAE.  相似文献   
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Directional Change (DC) is a technique to summarize price movements in a financial market. According to the DC concept, data is sampled only when the magnitude of price change is significant according to the investor. In this paper, we develop a contrarian trading strategy named TSFDC. TSFDC is based on a forecasting model which aims to predict the change of the direction of market's trend under the DC context. We examine the profitability, risk and risk‐adjusted return of TSFDC in the FX market using eight currency pairs. The results suggest that TSFDC outperforms the buy and hold approach and another DC‐based trading strategy.  相似文献   
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This paper obtains comparative static results for a firm that sells a single output domestically and abroad when prices in both markets are uncertain. Results are obtained for both constant absolute risk aversion and for Ross decreasing absolute risk aversion, using a diagrammatic analysis which exploits the properties of expected marginal utility contours. The results depend crucially on whether foreign and domestic sales are net substitutes or complements. The model is more complex and yields fewer unambiguous results – particularly in the case of substitutes – than when there is price uncertainty in only one market.  相似文献   
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In this article, we assess the time-varying volatility of the National Stock Exchange in the Indian equity market using unconditional estimators and asymmetric conditional econometric models. The volatility estimate and forecast is computed from the interday return and intraday range-based data of the exchange’s flagship index, CNX NIFTY, for the time period spanning 1 January 2009 through 31 December 2013. These are our findings: First, we determine that the time-varying volatility of the index is asymmetric with qualities of stationarity and leptokurtic distribution. Second, the one-step-ahead volatility forecast derived from the univariate time series parameters through the GJR-GARCH ?????process indicates that the model evaluation criteria of the autoregressive process tends towards range-based models vis-à-vis a return-based model. The validity of this methodology is further analysed with the superior predictive ability test, the outcome of which supports the use of range-based conditional models. Finally, among the evaluated range-based model variants, the model confidence set procedure favours the Yang–Zhang estimator as being better suited to forecast the exchange’s volatility than the ones by Parkinson, Garman–Klass and Rogers–Satchell.  相似文献   
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This paper shows how analytic modeling research in the Marketing field is focused on answering questions of “How?” and “Why?” It describes the disciplines involved in analytic modeling; examines how the key criteria of parsimony and robustness help to define a good model; and discusses other goodness criteria, including appropriate use of analytic techniques, applicability of the model to institutionally rich, real-world problems, non-obvious results, generalizability, and ability to provide insight where other research techniques do not work. The paper defines and discusses key concepts in analytic models of distribution channels, including double marginalization, coordination, incentive alignment and contract design, strategic substitutability and complementarity, externalities, and principal–agent problems. Next, the paper summarizes research presented in the session on analytic models in channels at the Erin Anderson conference; and finally, the paper suggests avenues for future analytic modeling research.  相似文献   
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