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81.
    
Aside from marketing information on traditional room rates, hotels and online travel agents (OTAs) are trying a new pricing technique based on the attributes of guestrooms. This research investigates how attribute-based room pricing (ABP) differs from traditional room pricing (TRP) in influencing consumer reactions when consumers receive a price change alert before (vs. after) sales. Through a series of experiments, we found that TRP and ABP result in similar alert attitude, brand attitude, and visit intention for presale price change alert. However, ABP leads to more favorable results for postsale price change alert. We examined the underlying mechanism and found that perceived fairness mediates the effect of pricing strategy on brand attitude, price alert attitude, and visit intention for postsale alert only. This research provides hotel managers and OTA marketers with guidance on when to send either type of price change message to consumers.  相似文献   
82.
The 99 price ending as a signal of a low-price appeal   总被引:1,自引:0,他引:1  
There is evidence that the rightmost digits, or endings, of retail prices can communicate meanings to consumers. To better understand how such meanings are formed, this paper addresses the question of how the 99 price ending can have a low-price meaning even though 99-ending prices tend to be higher rather than lower competitive prices. Analysis of two large samples of newspaper price advertising indicates that there is a strong and robust correlation between the use of the 99 price ending and the presence of a low-price appeal such as a claimed discount. It is suggested that the salience of price advertising leads it to dominate other sources of information in the consumer's learning of price-ending meanings.  相似文献   
83.
84.
Retailers are making considerable efforts to improve their brand management. The challenge they face, however, is how best to integrate coherently their stores, as brands, and their various distributor brands (store brands, private labels, etc.), in order to increase their brand equity and offer the market differential value that will stimulate customer loyalty. From this perspective, it is crucial for retailers to investigate the relationship between the store and their own brands. This study proposes two theoretical models showing the mechanism whereby store image helps increase the equity of a specific type of distributor brand (the store brand). The approach used in this analysis is based, on the one hand, on defining brand equity through its components, using the model in Aaker (1991), and on the other, on including (social and strategic) corporate dimensions in measuring store image. The empirical research made in the hypermarket sector in the Basque province of Gipuzkoa backs the majority of the proposed hypotheses. The results show that store image can be used by retailers to influence all components of store brand equity, essentially through its commercial and strategic dimension. This research is intended to address the clear lack of research on store brand equity.  相似文献   
85.
While price promotions are generally believed to have a positive impact on immediate sales, their effects on attitude towards repurchase, quality perceptions, and repurchase are far less clear. We present a study that tests the effect of brand experience in moderating the negative impact of promotions. The results of the laboratory study indicate that the negative impact of a discount on perceptions of quality and subsequent intent to purchase at full price is eliminated among those who had tried the brand. The moderation of the negative impact of promotions has not been previously shown to occur despite its prediction by a variety of behavioral theories.  相似文献   
86.
    
Among the numerous factors that influence decisions on prices, consumer behaviour has special significance. This paper reviews and analyses relevant studies conducted during the last few decades. On the basis of our analysis, four categories of factors that determine consumer behaviour have been identified. Additionally, we have developed an experimental research design to analyse the influence that the following factors have on price perception: price structure (i.e. price level, order of presentation and price differences), purchase context (i.e. reason for purchase or product use) and demographic characteristics (i.e. gender). Results reveal a significant influence of these variables on consumer behaviour.  相似文献   
87.
This study investigates the consequences of price image. Two conditions, a policy of intermediate price condition and a policy of low price condition, were distinguished in an experiment. Three moderators (consumers' price conscientiousness, retailer's motives perceived by consumers and consumers' familiarity with the retailer) were considered for these two conditions. Using partial least squares analyses (PLS), we propose integrated models of the consequences of price image highlighting the direct and indirect effects of this concept on consumers' satisfaction, trust, attitude and future behavioral intentions to the retailer. This research fills a gap in the literature since previous studies have mainly focused on the antecedents of price image or have only investigated specific links between the variables considered. Finally, considering our findings, we recommend to managers to favor either a policy of intermediate or low price depending of their consumers' characteristics.  相似文献   
88.
    
The impact of price and price changes should not be ignored while designing algorithms for predicting customer choice. Consumer preferences should be modeled with consideration of price effects. Businesses need to consider for efficient prediction of an individual's purchase behaviour. Personalized recommendation systems have been studied with machine learning algorithms. However, the price-aware personalized recommendation has received little attention. In this paper, we attempt to capture insightful economic results considered in the marketing and economics disciplines by employing modern machine learning architecture for predicting customer choice in a large-scale supermarket context. We extract personalized price sensitivities and examine their importance in consumer behaviour. The employed data collected from a supermarket chain in Germany consists of implicit feedback based on customer-product interactions and the price of every interaction. We propose a two-pathway matrix factorization (2way-MF) model that is price-aware and tries to memorize customer-product interaction's implicit feedback. The proposed models achieve better model performance than standard Matrix Factorization models widely used in the industry. The approach was re-validated with data from supermarket chain in Taiwan. Other industries can adopt the proposed framework of modeling customer's preferences based on price sensitivity. We suggest that further research and analyses could help understand the cross-price elasticities.  相似文献   
89.
    
In a consumption context, there is a growing interest in understanding unfair behaviour of firms towards customers. Our research focuses on unfairness perceptions driven by differential treatment, particularly through price discrimination, i.e. the practice of charging differential prices to different customers. Our purpose is to investigate the consequences of these practices for unfairness perceptions, satisfaction, trust and patronage, showing a dual perspective: the perceptions of new vs existing clients when they face the advantaged or disadvantaged conditions. A survey-based experimental design approach was used. We conclude that unfairness perception is stronger for existing than for new clients, prompting negative attitudinal and behavioural consequences when the former are exposed to disadvantaged conditions in relation to the latter. Our study aims to provide marketers with a perspective on the pitfalls related to differential treatment between present and prospective clients, with implications in terms of design and implementation of customer management strategies.  相似文献   
90.
研究目标:目前有关中国土地价格指数的研究没有考虑不可观测特征的影响,本文给出一种可以控制不可观测特征的土地价格指数编制方法。[HTH]研究方法:通过结合传统的特征价格模型和重复交易模型,提出固定地理单元并利用组内差分以控制地块不可观测特征,提出了一种新的土地价格指数编制方法。[HTH]研究发现:[HTF][STBZ][WTBZ]以上海为例讨论了分类土地价格指数,研究发现从2008~2015年,上海同质住宅用地价格上升了359.92%,同质工业用地和商服用地价格的涨幅分别为101%和107%。[HTH]研究创新:利用网络爬虫技术收集微观土地交易数据,为指数的编制提供了数据基础。[HTH]研究价值:该方法能够捕捉地块所在的特殊位置对于其价格的影响。  相似文献   
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