土地市场扭曲如何影响制造业出口产品质量升级*——基于土地市场交易数据和制造业企业数据的实证分析

地方政府“以地谋发展”的策略在促进各地区制造业大规模集聚和出口贸易快速增长的同时，也势必会给企业出口产品质量带来深刻影响。本文综合利用中国土地市场网城市土地交易数据、中国工业企业数据、中国海关进出口产品数据和中国城市面板数据，实证检验了土地市场扭曲对企业出口产品质量升级的影响，并对其内在机制进行了探讨。研究发现：中国城市建设用地配置存在明显的工业偏向性，进而导致工业用地价格被低估，产生工业用地应得收益大于实际价格的反向扭曲问题。这种反向扭曲可通过抑制技术进步、阻碍产业结构高级化、弱化集聚经济效应等机制显著降低制造业企业出口产品质量。土地市场扭曲对企业出口产品质量升级的影响具有明显的异质性特征。具体而言，土地市场扭曲不利于一般贸易企业与混合贸易企业出口产品质量提升，但对加工贸易企业出口产品质量提升具有促进作用。土地市场扭曲对企业出口产品质量升级的抑制作用由东到西依次递增。土地市场扭曲不利于外资企业和国有企业出口产品质量提升，对集体企业及民营企业的影响不显著。     

The impact of reverse logistics process coordination on third party relationship quality: A moderated mediation model for multichannel retailers in the fashion industry

Multichannel retailing is a widely adopted strategy in the fashion industry. Companies in this industry find it a source of competitive advantage to invest in reverse logistics infrastructure. However, limited empirical studies investigate the enablers of the relationship quality between the retailers and their reverse logistics service providers. This study quantifies the impact of reverse logistics process coordination between retailers and logistics service providers on relationship quality. Moreover, it tests the mediating role of reverse logistics service quality and the moderating role of conflict frequency in this relationship. Data were collected through a survey using a purposive sample of 241 retail store managers from the fashion retail industry of Pakistan. For this purpose, a self-administered questionnaire was developed using a five-point Likert Scale to gauge the responses. Conditional process analysis was used to evaluate the moderated mediation model. The findings showed a significant positive impact of reverse logistics process coordination on the relationship quality with a logistics service provider, a significant positive mediation effect of reverse logistics service quality, and a significant moderation effect of conflict frequency on the indirect relationship. However, conflict frequency, contrary to the hypothesis in the study, strengthened the indirect relationship. Furthermore, the moderation effect of conflict frequency on the direct relationship was insignificant. This study will help managers better understand the best practices leading to effective management of reverse logistics processes, particularly product returns.     

Employee workplace spirituality and pro-environmental behavior in the hotel industry

Pro-environmental behaviors in the workplace are less investigated than those in the public and private spheres. With this in mind, and through the values framework of workplace spirituality (WPS), synthesizing the theories of connectedness and organizational citizenship, the current study proposed a theoretical model to gauge the influence of WPS, a relatively new area of inquiry in organizational research and a neglected field in tourism and hospitality, on hotel employees’ organizational citizenship behavior for the environment (OCBE). In this framework, the emerging concept of connectedness to nature (CNS) – a strong cognitive and affective predictor of pro-environmental behavior – was depicted as a mediator, and the construct of environmental awareness (EA) was deemed a moderator. The intended model received support through empirical testing, and results confirmed that WPS is significantly associated with employees’ OCBE, and CNS indirectly affects the relationship between WPS and OCBE, while EA functions as a booster. The theoretical and practical implications of the study were discussed, and a series of contributory managerial implications were described accordingly.     

考虑声誉效应的科技服务业与制造企业合作创新行为策略分析

采用博弈论的方法，考虑声誉效应对博弈双方效用、策略的影响，建立信号博弈模型，并分析精炼贝叶斯均衡，证明声誉水平、对声誉的态度以及技术市场价值的高低是影响建立合作关系的重要因素。探讨双方建立合作关系的行为策略，提出实现合作达成双赢的建议。     

Flow Signals: Evidence from Patent and Alliance Portfolios in the US Biopharmaceutical Industry

Integrating signalling theory and the portfolio diversity literature, we theorize that diversity in a firm's patent and alliance portfolios sends contrasting flow signals impacting its market value in a nuanced way. Diversity in an alliance portfolio mediates the patent portfolio diversity – market value relationship by suppressing the negative effect of patent portfolio diversity creating an overall positive effect. We test our mediation model on a longitudinal set of 225 US biopharmaceutical firms that were awarded 17,078 patents and participated in 37,744 alliances between 1990 and 2006. Our theory and findings contribute three novel insights. First, we demonstrate the value of a temporal lens in explaining why diversity in a firm's patent and alliance portfolios send flow signals that establish expectations among market observers and have performance implications. Second, establishing that patent and alliance portfolio diversity are temporally sequenced provides compelling evidence for the value of studying multiple types of portfolios, their temporal relationships and effects on firm outcomes. Third, since diversity in a firm's portfolios can send contrasting flow signals conditioned on the cognitive demands and proximity involved in interpreting the signals, firms that do not maintain a ‘signalling fit’ with market observers increase the probability of unintentional negative signalling effects.     

Critical success factors for mutual collaboration with suppliers in IT outsourcing industry: a case study of a top IT outsourcing company in Korea

ABSTRACT

Nowadays, information technology (IT) outsourcing companies face enduring demands to reduce cost while increasing productivity. This pressure leads many IT outsourcing companies to rely on outsourcing arrangements with IT personnel suppliers. In order to maximise efficiency, outsourcing companies have focused on fostering high-performing suppliers through improved collaboration and mutual relations. However, it is very difficult to advance to a long-term partnership using the existing outsourcing process because of insufficient collaboration between IT outsourcing companies and their suppliers. Based on collaboration perspective of supply chain management (SCM), this study identifies the critical success factors for collaborative strategic partnerships and presents an evaluation framework for assessing and managing suppliers. We have developed an organisational process model for Supplier relationship management (SRM)-based collaboration which includes some of the key constructs from the previous studies and interviews with the IT outsourcing industry people. In this study, we will identify four types of strategic suppliers and suggest approaches for improving collaborative relationship between an IT outsourcing company and its partner companies. In addition, to validate the feasibility of the proposed model, we applied it to a well-known Korean IT outsourcing company ‘A’.     

Explaining differences in the productivity of investment across countries in the context of ‘new growth theory’

The purpose of this paper is to explain differences in the productivity of investment across 84 rich and poor countries over the period 1980–2011, and to test the orthodox neoclassical assumption of diminishing returns to capital. The productivity of investment is measured as the ratio of the long-run growth of GDP to a country’s gross investment ratio. Twenty potential determinants are considered using a general-to-specific model selection algorithm. Education, government consumption, geography, export growth, openness, political rights and macroeconomic instability are the most important variables. The data also suggest constant returns to capital, so investment and the determinants of productivity of investment differences matter for long-run growth.     

Big data driven cycle time parallel prediction for production planning in wafer manufacturing

Cycle time forecasting (CTF) is one of the most crucial issues for production planning to keep high delivery reliability in semiconductor wafer fabrication systems (SWFS). This paper proposes a novel data-intensive cycle time (CT) prediction system with parallel computing to rapidly forecast the CT of wafer lots with large datasets. First, a density peak based radial basis function network (DP-RBFN) is designed to forecast the CT with the diverse and agglomerative CT data. Second, the network learning method based on a clustering technique is proposed to determine the density peak. Third, a parallel computing approach for network training is proposed in order to speed up the training process with large scaled CT data. Finally, an experiment with respect to SWFS is presented, which demonstrates that the proposed CTF system can not only speed up the training process of the model but also outperform the radial basis function network, the back-propagation-network and multivariate regression methodology based CTF methods in terms of the mean absolute deviation and standard deviation.     

Organizational attention and learning under regulatory intervention: Governmental investigation into auto engine quality

We examine the efficacy of government regulation on a firm's product. We draw on the behavioural approach of organization research in order to understand the micromechanisms whereby the regulatory intervention process affects corporate operation. We suggest that while government investigations may limit the improvements in product quality by distracting a firm's attention, this unintended outcome depends on the extent to which the firm engages in a substantive problem‐solving process with the regulator during an investigation process. A longitudinal analysis of the US government's investigation into motor vehicle engine production offers overall support for our argument. The paper concludes with a discussion of the implications that our findings present to learning theory and institutional literature. Copyright © 2017 ASAC. Published by John Wiley & Sons, Ltd.