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51.
This article examines the implementation of relationship marketing strategy based on a sample of business-to-business firms operating in Greece. Organizational resources, including a focus on learning and flexibility/adaptation in strategic planning, are demonstrated to be antecedents of effective relationship marketing strategies. The possession of these resources lead to superior customer performance (as measured by customer satisfaction and loyalty) and, ultimately, superior financial performance (as measured by profit levels, profit margin, and ROI). Our results provide support for the development of organizational resources that foster and enable relationship marketing in business-to-business environments since such resources are linked with improved firm performance.  相似文献   
52.
介绍了标杆管理的概念及在供电企业中运用的几种主要类别,分析了标杆管理对于供电企业的重要作用,探讨了标杆管理在供电企业中的具体实施步骤和运用中应注意的几个问题.  相似文献   
53.
Following a review of current research in children's learning in technology education, and an examination of the kinds of knowledge demanded in contemporary technology education programs in elementary schools, I argue that what is needed in early technology education programs is the scaffolding of what I am calling technological stance. This construct acknowledges the socio-cultural character of technology as a human endeavor. In contrast to programs which are oriented to application of conceptual and procedural knowledge or to programs in which knowledge is generated through interpretation of interactions with materials and tools, programs which support technological stance position learners as critical inquirers into both tool-related and discursive practices of technology.  相似文献   
54.
This paper describes the frameworks and cognitive tools that have been developed to enhance practising teachers' pedagogical content knowledge in primary school technology education. The frameworks evolved from our research that firstly examined existing teaching practices, secondly enhanced formative interactions and thirdly enhanced summative assessment strategies. The evidence gained over the three years demonstrated how the effective use of frameworks could be utilised to enhance teacher pedagogical content knowledge (PCK). How we see learning is of prime importance in examining the development of teacher pedagogical content knowledge. A sociocultural view of learning is taken where human mental processes are situated within their historical, cultural and institutional setting. In the research project we strongly emphasised the need for teachers to build a knowledge base for teaching technology. Critical aspects identified as enhancing PCK included: negotiated intervention, planning frameworks, reflection on case studies, workshops and support in classrooms, appropriate resources, teacher agreement meetings, portfolios of student work and summative profiles. The increased PCK resulted in: enhanced teacher knowledge about technology including the nature of technology, areas of technology and specific technological knowledge, changed pedagogical approaches, enhanced teacher student interaction, refinement of appropriate learning outcomes, critical decision making, improved teacher confidence, and enhanced student learning. Seven characteristics or features of pedagogical content knowledge that we believe are important for effective teaching and learning in technology are presented. This revised version was published online in July 2006 with corrections to the Cover Date.  相似文献   
55.
This paper discusses the relationship between market orientation and organizational learning and, in particular, the former's contribution to the generation of double-loop learning. Although prior contributions on this topic have been controversial, the authors, departing from the principles of RBV, consider market orientation a resource capable of generating higher order organizational learning and, in this way, capable of additionally reinforcing firms' sustainable competitive advantage. The empirical study provides evidence on the existing relationship between a firm's learning and market orientation degree and the organization's economic and non-economic results. Findings indicate that learning orientation stimulates the market-oriented behavior and that it also positively affects the establishment of long-term relationships with strategic clients. Contrary to prior research a significant and positive effect on business performance is only contrasted in the case of market orientation.  相似文献   
56.
We show that board tenure exhibits an inverted U‐shaped relation with firm value and accounting performance. The quality of corporate decisions, such as M&A, financial reporting quality, and CEO compensation, also has a quadratic relation with board tenure. Our results are consistent with the interpretation that directors’ on‐the‐job learning improves firm value up to a threshold, at which point entrenchment dominates and firm performance suffers. To address endogeneity concerns, we use a sample of firms in which an outside director suffered a sudden death, and find that sudden deaths that move board tenure away from (toward) the empirically observed optimum level in the cross‐section are associated with negative (positive) announcement returns. The quality of corporate decisions also follows an inverted U‐shaped pattern in a sample of firms affected by the death of a director.  相似文献   
57.
Machine learning techniques make it feasible to calculate claims reserves on individual claims data. This paper illustrates how these techniques can be used by providing an explicit example in individual claims reserving.  相似文献   
58.
Option hedging is a critical risk management problem in finance. In the Black–Scholes model, it has been recognized that computing a hedging position from the sensitivity of the calibrated model option value function is inadequate in minimizing variance of the option hedge risk, as it fails to capture the model parameter dependence on the underlying price (see e.g. Coleman et al., J. Risk, 2001, 5(6), 63–89; Hull and White, J. Bank. Finance, 2017, 82, 180–190). In this paper, we demonstrate that this issue can exist generally when determining hedging position from the sensitivity of the option function, either calibrated from a parametric model from current option prices or estimated nonparametricaly from historical option prices. Consequently, the sensitivity of the estimated model option function typically does not minimize variance of the hedge risk, even instantaneously. We propose a data-driven approach to directly learn a hedging function from the market data by minimizing variance of the local hedge risk. Using the S&P 500 index daily option data for more than a decade ending in August 2015, we show that the proposed method outperforms the parametric minimum variance hedging method proposed in Hull and White [J. Bank. Finance, 2017, 82, 180–190], as well as minimum variance hedging corrective techniques based on stochastic volatility or local volatility models. Furthermore, we show that the proposed approach achieves significant gain over the implied BS delta hedging for weekly and monthly hedging.  相似文献   
59.
This paper examines the out-of-sample forecasting properties of six different economic uncertainty variables for the growth of the real M2 and real M4 Divisia money series for the U.S. using monthly data. The core contention is that information on economic uncertainty improves the forecasting accuracy. We estimate vector autoregressive models using the iterated rolling-window forecasting scheme, in combination with modern regularisation techniques from the field of machine learning. Applying the Hansen-Lunde-Nason model confidence set approach under two different loss functions reveals strong evidence that uncertainty variables that are related to financial markets, the state of the macroeconomy or economic policy provide additional informational content when forecasting monetary dynamics. The use of regularisation techniques improves the forecast accuracy substantially.  相似文献   
60.
目的 卫星遥感技术具有覆盖范围广、探测周期短、调查成本低等优势而广泛应用于大区域农作物分类。然而在种植结构复杂区(如城乡结合部),因其地块破碎、同期生长的作物种类多且分布分散,利用传统的统计分类或机器学习方法进行农作物分类时仍存在精度不高的问题。为提高种植结构复杂区农作物分类精度。方法 文章选取河北省廊坊市广阳区为研究区,以GF-1 PMS全色多光谱融合影像为数据源,采用U-Net、PSPNet及DeepLabv3+,3种深度学习模型进行农作物分类研究。分析模型参数对农作物分类精度的影响,评价3种深度学习模型的农作物分类精度,优选农作物精细分类方法。结果 (1)学习率与3种深度学习模型的分类精度呈正相关关系,较大的学习率(0.01,0.001)下,3种模型收敛速度快,分类精度高。批样本量与模型分类稳定性相关,批样本量设为100时,3种模型的分类稳定性最好。(2)相比PSPNet、DeepLabv3+模型,U-Net模型分类效果最好,总体分类精度为89.32%。(3)GF-1 PMS影像结合U-Net模型可有效提升种植结构复杂区农作物分类精度,大宗作物春玉米、夏玉米的分类精度在80%以上,花生、红薯、蔬菜小宗作物分类精度在60%以上。结论 该研究可为准确获取种植结构复杂区的农作物类型、面积及空间分布信息提供参考依据。  相似文献   
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