Key Sectors,Industrial Clustering and Multivariate Outliers

In this paper a reflection is made on the problems that can arise in key sector analysis and industrial clustering, due to the usual presence of outliers when using multidimensional data related to the sectors in an input–output table. Multidimensional outliers are considered as being not only linked to the low number of clusters usually observed in this kind of study, but probably causing invalid results in most of the works involving multivariate statistical techniques, such as cluster and factor analysis. Actually, by comparing the key sectors of the Spanish economy obtained in Díaz et al. (2006) Díaz, B., Moniche, L. and Morillas, A. 2006. A fuzzy clustering approach to the key sectors of the Spanish economy. Economic Systems Research, 18: 299–318. [Taylor & Francis Online] [Google Scholar] to the ones we get taking into account the problem the outliers pose, one can realize they greatly distort the results. On the other hand, it is shown that identification of outliers can be considered as a good and new procedure to help select the most important sectors in an economy.     

Relevance and advantages of using the item response theory

The item response theory (IRT) also known as latent trait theory, is used for the development, evaluation and administration of standardized measurements; it is widely used in the areas of psychology and education. This theory was developed and expanded for over 50 years and has contributed to the development of measurement scales of latent traits. This paper presents the basic and fundamental concepts of this IRT and a practical example of the construction of scales is proposed to illustrate the feasibility, advantages and validity of IRT through a known measurement, the height. The results obtained with the practical application of IRT confirm its effectiveness in the evaluation of latent traits.     

对我国MBO实施过程中的若干争议和指责的思考

在国有企业进行战略性调整和产权改革进入攻坚阶段的大背景下,MBO在我国从一个新生事物很快变成企业产权改革、激励机制创新的主要角色。在其发展过程中受到了来自多方面的争议和指责,这些争议和指责反映出我国现阶段还不具备MBO优势得以发挥的外部条件。加快相关法律法规的建设、培育多层次的金融市场、建立完善的法人治理结构等对MBO在我国发挥其特有的优势具有特别重要的作用。     

Stochastic monotonicity in intergenerational mobility tables

The aim of this paper is to test for stochastic monotonicity in intergenerational socio‐economic mobility tables. In other words, we question whether having a parent from a high socio‐economic status is never worse than having one with a lower status. Using existing inferential procedures for testing unconditional stochastic monotonicity, we first test a set of 149 intergenerational mobility tables in 35 different countries and find that monotonicity cannot be rejected in hardly any table. In addition, we propose new testing procedures for testing conditional stochastic monotonicity and investigate whether monotonicity still holds after conditioning on a number of covariates such as education, cognitive and non‐cognitive skills. Based on the NCDS cohort data from the UK, our results provide evidence that monotonicity holds, even conditionally. Moreover, we do not find large differences in our results when comparing social class and wage class mobility. Copyright © 2010 John Wiley & Sons, Ltd.     

Social and organizational capital: Building the context for innovation

In the light of the key role intellectual capital has for firms' innovation capability, this paper analyzes the influence of two of their dimensions, organizational capital and social capital, on firms' product innovation, and the moderating role of radicalness. Unlike previous studies, the unit of analysis will not be the firm, but the R&D department. Thus, our research, conducted with a sample of Spanish industrial companies, provides a new insight with interesting results. First, our findings show that social capital favours firms' product innovation, especially under radical innovations. Second, organizational capital has an indirect effect on product innovation through positive influence on social capital. This implies that firms can stimulate communication and interaction among people, and therefore innovative activity, by means of explicit and codified knowledge (organizational capital).     

Extending multi-tenant architectures: a database model for a multi-target support in SaaS applications

Multi-tenant architectures (MTAs) are considered a cornerstone in the success of Software as a Service as a new application distribution formula. Multi-tenancy allows multiple customers (i.e. tenants) to be consolidated into the same operational system. This way, tenants run and share the same application instance as well as costs, which are significantly reduced. Functional needs vary from one tenant to another; either companies from different sectors run different types of applications or, although deploying the same functionality, they do differ in the extent of their complexity. In any case, MTA leaves one major concern regarding the companies’ data, their privacy and security, which requires special attention to the data layer. In this article, we propose an extended data model that enhances traditional MTAs in respect of this concern. This extension – called multi-target – allows MT applications to host, manage and serve multiple functionalities within the same multi-tenant (MT) environment. The practical deployment of this approach will allow SaaS vendors to target multiple markets or address different levels of functional complexity and yet commercialise just one single MT application. The applicability of the approach is demonstrated via a case study of a real multi-tenancy multi-target (MT²) implementation, called Globalgest.     

河南省高校物流人才培养协同创新研究

协同创新推动了新时期高校教育的改革与发展,丰富了高校人才培养的内容与形式。文章从协同创新的角度出发,对河南省高校物流人才培养模式提出了优化建议,为探索物流专业学科建设及人才培养提供了可行的方案。     

Agglomeration dynamics of innovative start-ups in Italy beyond the industrial district era

Building on the literature on agglomeration economies, this study examines how urbanization, industry-diversification, district economics and incubating initiatives are associated to the creation of innovative start-ups in Italy. The empirical analysis is based on a sample of 6018 innovative start-ups distributed across 104 Italian NUTS 3 regions. Our findings show that incubating initiative and industrial districts play a major role for new venture creation and provide support to the positive role of urbanization economies and industry specialization over diversification. Finally, we discuss future research directions grounded on the empirical evidence provided by our study.

     

Micro-level product-market dynamics: Shared knowledge and its relationship to market development

This work draws on consumer and psychology research to explain sociocognitive aspects of product-market dynamics at a higher level of specificity than prior research. The authors extend the field’s understanding of market-shaping shared knowledge through a theory-informed discussion of how shared product knowledge comes to exist and how it changes as product markets develop. They define shared knowledge as the aspects of product representations that are common across the minds of market actors, making it possible for them to understand one another. The authors also discuss ways to track shared knowledge content that is expressed in market narratives. As the characteristics of shared knowledge are explained and linked to stages of product-market development, the authors develop a set of researchable propositions to guide future research. The theoretical arguments and propositions in this article complement extant marketing strategy research by integrating individual-level consumer theory with market evolution models. José Antonio Rosa (jose.rosa@case.edu; Ph.D., University of Michigan) is an assistant professor of marketing at Case Western Reserve University. His research interests include product markets as sociocognitive phenomena, embodied knowledge in consumer and managerial sensemaking, consumer illiteracy and coping, commitment and motivation among members of network marketing organizations, and buying group satisfaction. His research has been published in marketing and management publications, including theJournal of Marketing and theAcademy of Management Journal. Before entering academia, he worked in the automotive and information systems industries. Jelena Spanjol (jspanjol@tamu.edu; Ph.D., University of Illinois) is an assistant professor of marketing at Texas A&M University. Her research interests include product market dynamics, product portfolio management, innovation, sensemaking, and organizational and managerial cognition in marketing strategy. Her research has been published in marketing and management publications, including theJournal of Marketing and several book chapters. Before academia, she worked in the scientific software industry.