区域物流中心城市物流系统规划研究＊--以绵阳市涪城区物流系统概念规划为例

在对城市物流系统规划相关概念、意义及难点分析的基础上，针对我国区域物流中心城市物流系统规划的实际需求，理论上，对基于“软系统”方法论的城市现代物流系统规划方法进行深入研究；实践上，将该方法应用到绵阳市涪城区物流系统概念规划过程中。一方面，为“软系统”方法论在城市物流系统规划中的应用积累经验，另一方面，解决区域物流中心城市-绵阳市涪城区物流系统概念规划中的实际问题。     

电子商务背景下城市宅配模式的创新研究

随着我国电子商务的发展，对物流配送行业的要求越来越高。针对我国物流配送行业存在的主要问题，在分析现有模式的基础上，提出“混合第四方”的宅配模式，从模式、功能、优势及第四方服务点选址原则四个维度进行电子商务背景下城市宅配模式创新研究以期解决物流配送的短板效应，进一步促进我国物流配送行业和电子商务的发展。     

Patent indicators for macroeconomic growth—the value of patents estimated by export volume

This paper examines the linkage between patenting and export performance for selected countries at the level of technology fields. Some empirical studies show considerable correlation between the patenting behavior of countries and their economic success in international markets. Adding to the existing literature, the aim of this analysis is to assess whether the indicators that are supposed to reflect patent value—such as patent citations or family size—have any explanatory power in estimating the export value of countries by technology fields.     

Modularity in building mass customization capability: The mediating effects of customization knowledge utilization and business process improvement

This study investigates the relationships among product/process modularity, organizational learning practices, and mass customization (MC) capability. Drawing on organizational learning theory, we propose that organizational learning practices help to embed the knowledge gained from modular design practices into organizational processes, enhancing MC capability. We empirically test the mediating effects of two organizational learning practices—customization knowledge utilization and business process improvement—on the relationship between product/process modularity and MC capability, using data collected from Chinese manufacturers. We find strong support for the mediating role of organizational learning practices in the relationship between modularity and MC capability. Our findings have implications for management strategies and point to directions for further research in this area.     

Detecting big structural breaks in large factor models

Time invariance of factor loadings is a standard assumption in the analysis of large factor models. Yet, this assumption may be restrictive unless parameter shifts are mild (i.e., local to zero). In this paper we develop a new testing procedure to detect big breaks in these loadings at either known or unknown dates. It relies upon testing for parameter breaks in a regression of one of the factors estimated by Principal Components analysis on the remaining estimated factors, where the number of factors is chosen according to Bai and Ng’s (2002) information criteria. The test fares well in terms of power relative to other recently proposed tests on this issue, and can be easily implemented to avoid forecasting failures in standard factor-augmented (FAR, FAVAR) models where the number of factors is a priori imposed on the basis of theoretical considerations.     

Ordering sellers in sequential auctions

We examine how buyers’ behaviors, sellers’ profits and the social welfare (the total surplus of all sellers and buyers) vary with the order of sellers in sequential auctions where sellers have different reservation values. First, when reserve prices are exogenously set to be sellers’ reservation values, a social planner would order sellers from low to high based on their reservation values, which yields a uniquely efficient order that maximizes the social welfare. However, an auctioneer charged with maximizing the total profit of all sellers would want to reverse the increasing order in certain situations. Second, when reserve prices can be endogenously selected in addition to the order of sellers, the auctioneer would always want to adopt the increasing order for the optimally chosen reserve prices. Sequential auctions with optimally chosen reserve prices and an increasing order are shown optimal among the class of voluntary and incentive-compatible mechanisms.     

The effect of corruption on the manufacturing sector in India

This article investigates the effects of corruption on the performance of the manufacturing sector at the state level in India. We employ conviction rates of corruption-related cases as an instrument for the extent of corruption, address the underreporting problem, and examine the impact of corruption on the gross value added per worker, total factor productivity, and capital-labor ratio of three-digit manufacturing industries in each state. Our estimation results show that corruption reduces gross value added per worker and total factor productivity. Furthermore, we show that the adverse effects of corruption are more salient in industries with smaller average firm size.     

Leveraging sponsorship with corporate social responsibility

Sponsors increasingly engage in corporate social responsibility (CSR) activities surrounding sponsored events (e.g., the soccer World Cup and Olympic Games). This study examines how linking CSR to sponsorship affects consumer attitudes towards sponsoring brands. Schema theory suggests that consumer CSR perception and brand credibility act as serial mediators. They transfer the positive effects of a CSR-linked sponsorship strategy. These effects only occur for brands with a moderately low congruity to the sponsored event (but not for brands with a moderately high congruity to the sponsored event). Two experiments measuring (Study 1) and manipulating (Study 2) sponsor–event congruity confirm the proposed mediation mechanism for brands with a moderately low sponsor–event congruity. CSR-linked sponsorship (vs. sponsorship without CSR linkage) does not influence attitudes towards brands with a moderately high congruity to the sponsored event. The study develops theoretical and practical implications for sponsorship and CSR strategies.     

Regional influences on the prevalence of family versus non-family start-ups

We integrate insights from family business and organizational ecology into the entrepreneurship field by constructing a theoretical framework that explains how the regional context impacts family and non-family start-ups in differing ways. Regional count data models based on a rich longitudinal dataset reveal that while economic factors such as population size and growth in regions are primarily associated with the number of non-family start-ups, factors related to regional embeddedness, such as pre-existing small family businesses as well as favorable community attitudes toward small businesses, are more strongly associated with the number of family start-ups. Our research provides support for the notion that ‘the regional context’ is an important yet under-theorized area for research on venture creation and family business.     

Practice makes perfect: Entrepreneurial-experience curves and venture performance

This study tackles the puzzle of why increasing entrepreneurial experience does not always lead to improved financial performance of new ventures. We propose an alternate framework demonstrating how experience translates into expertise by arguing that the positive experience–performance relationship only appears to expert entrepreneurs, while novice entrepreneurs may actually perform increasingly worse because of their inability to generalize their experiential knowledge accurately into new ventures. These negative performance implications can be alleviated if the level of contextual similarity between prior and current ventures is high. Using matched employee–employer data of an entire population of Swedish founder-managers between 1990 and 2007, we find a non-linear relationship between entrepreneurial experience and financial performance consistent with our framework. Moreover, the level of industry, geographic, and temporal similarities between prior and current ventures positively moderates this relationship. Our work provides both theoretical and practical implications for entrepreneurial experience—people can learn entrepreneurship and pursue it with greater success as long as they have multiple opportunities to gain experience, overcome barriers to learning, and build an entrepreneurial-experience curve.