Market maker competition and price efficiency: Evidence from China

We test the relationship between market maker competition and stock price efficiency. Using the number of market makers as a proxy for competition, the results show a strong positive correlation between competition and stock price efficiency. Moreover, price efficiency is higher when competing market makers have higher research ability. We suggest that market maker competition increases price efficiency through two channels: 1) Competition decreases transaction costs, and 2) Uninformed market makers learn from orders submitted by informed market makers through competition. The latter happens only in the group of market makers with higher experiences. The results imply that the price efficiency can be improved by enhancing the competition of market makers with high research ability and experiences.     

Service innovativeness and the structuring of organizations: The moderating roles of learning orientation and inter-functional coordination

This paper aims to investigate the influence of organizational structure on service innovativeness by testing the moderating roles of learning orientation and inter-functional coordination. This helps to understand how organic structure influences service innovativeness when it is effectively leveraged with favorable organizational factors. Data were collected from 178 hotel managers and executives in Japan and moderated regression analysis was performed to analyze the data. Findings of the study suggest that higher levels of service innovativeness are positively related to higher levels of hotel business performance. In addition, organic structure makes a positive influence on service innovativeness and an increase in the levels of learning orientation boost the effectiveness of organic structure on service innovativeness. Moreover, the positive association between organic structure and service innovativeness become stronger when all firm’s functions make an attempt to cooperate and contribute to disseminating customers and competitors’ information in the hotels. These findings contribute to understanding how hotel service innovation is affected by service innovativeness, organizational structure, learning orientation and inter-functional coordination.     

The role of experiential and non-experiential knowledge in cross-border acquisitions: The case of Indian multinational enterprises

This paper investigates the antecedents of the internationalization of emerging economy multinational enterprises (EMNEs) through cross-border acquisitions. Using a panel data set of 1138 cross-border acquisitions made by 515 Indian multinational enterprises (MNEs) during 2000–2013, it examines interactions of in-house resources with experiential and non-experiential knowledge to explore how EMNEs manage and exploit their knowledge base when internationalizing. The results show that Indian multinational enterprises have ‘interface competence’. They combine in-house resources with experiential market and externally sourced technological knowledge for undertaking cross-border acquisitions. The Uppsala model provides insights in analyzing the role of market knowledge and the Global Factory model helps in analyzing the role of technology in cross-border acquisitions by EMNEs.     

Corporate governance in family firms,learning and reaction to recession: Evidence from Italy

This paper focuses on the interaction between internal and external factors explaining performance of small and medium-sized family firms. We used framework foresight to suggest how learning and internal factors such as CEO’s origin, tenure and turnover, could affect the firm’s reactions to one particular external factor, economic recession. The paper draws on empirical observations of a large sample of small and medium family firms operating in Italy between 2002 and 2011 to identify the baseline future, an expected future for these firms. This analysis may be of interest to both management scholars and practitioners. We hope to contribute to the debate on how internal and external factors interact to affect firm success, measured as sales growth. The implications for the future viability of an economic system based on family businesses are straightforward, as the turbulence and instability of the economic environment has grown significantly in the last decade, especially in more developed countries. Whether the ability of a company to adapt and survive to negative shocks depends on its governance provides a rationale for exploring alternative perspectives on the competitiveness of the economic system and the ability of different owners to cope with future negative events.     

Grading Innovation in an International Marketing Course: Promoting Student Collaboration and Individual Accountability

In this article, the author proposes an innovative, exam-based homework grading method to facilitate both collaboration among students and individual accountability while learning a complex theory and applying it to solve a problem. Results from this novel approach to grading a comparative advantage theory homework assignment, using an objective exam performance measure to adjust original homework grades, show that students increase their comprehension of the frequently misunderstood theory. This novel grading method can be applied in a variety of contexts to promote student collaboration in preparation of academic work while providing incentives to encourage individual accountability and engagement.     

Using Machine Learning for measuring democracy: A practitioners guide and a new updated dataset for 186 countries from 1919 to 2019

We provide a comprehensive overview of the literature on the measurement of democracy and present an extensive update of the Machine Learning indicator of Gründler and Krieger (2016). Four improvements are particularly notable: First, we produce a continuous and a dichotomous version of the Machine Learning democracy indicator. Second, we calculate intervals that reflect the degree of measurement uncertainty. Third, we refine the conceptualization of the Machine Learning Index. Finally, we significantly expand the data coverage by providing democracy indices for 186 countries in the period from 1919 to 2019.     

农业创业情境下商业模式设计的影响机制研究——基于模糊集定性比较分析

农业创业者如何通过整合与管理资源与能力，设计新颖型商业模式创造更多价值，是实现乡村振兴战略的关键措施。文章基于资源编排、商业模式理论，以央视《致富经》栏目40个案例为样本，运用模糊集定性比较分析（fsQCA）方法，剖析资源编排、机会能力、创业学习所构成的前因变量组态对农业创业活动中商业模式设计的影响机制。研究发现，资源编排在农业创业活动中发挥不可或缺的关键作用；相较于资源结构化和资源捆绑，资源利用在新颖型商业模式设计中的作用更为突出；机会能力须与资源编排共同作用，方可实现新颖型商业模式设计；在资源编排作用缺乏时，创业学习的发挥有助于新颖型商业模式设计的形成。研究成果诠释了农业创业情境下资源编排、机会能力与创业学习对商业模式设计的影响机制，为开展农业创业活动提供指导。     

Objective methods for graphical structural learning

Graphical models are used for expressing conditional independence relationships among variables by the means of graphs, whose structure is typically unknown and must be inferred by the data at hand. We propose a theoretically sound Objective Bayes procedure for graphical model selection. Our method is based on the Expected-Posterior Prior and on the Power-Expected-Posterior Prior. We use as input of the proposed methodology a default improper prior and suggest computationally efficient approximations of Bayes factors and posterior odds. In a variety of simulated scenarios with varying number of nodes and sample sizes, we show that our method is highly competitive with, or better than, current benchmarks. We also discuss an application to protein-signaling data, which wieldy confirms existing results in the scientific literature.     

Trading off learning and performance: Exploration and exploitation at work

Employees are increasingly given control over how they learn, and their choices for training are diverse and varied, yet employees must balance competing demands. On one hand, they are expected to be increasingly efficient in their current job duties – on the other hand, they are expected to develop new skills and competencies that enable them to adapt and respond to changing job demands. Drawing from the organizational learning literature, we propose a model of worker and work characteristics that inform choices between two mindsets related to learning at work. The first mindset is exploration, or the pursuit of learning outside one’s current knowledge domain; the second mindset is exploitation, the refinement/deepening of one’s existing knowledge stock focusing on the task at hand. We further propose that these strategic choices, or trade-offs, influence employee learning and performance in unique ways, with different implications for both routine and adaptive performance. Finally, we incorporate the notions of feedback loops and risk assessments that influence ongoing decisions between exploration and exploitation mindsets. Recommendations for future research and extensions of the theoretical model are also proposed.     

双元视角下调节聚焦对国防研发人员创新行为的影响机制

调节聚焦作为个体实现目标的动机调节系统，对个体创新行为具有重要作用，是组织行为学领域关注的热点。基于调节聚焦等相关理论，从二维视角深入考察个体调节聚焦对其双元创新的过程机理与边界机制。对527名国防科技研发人员进行问卷调研分析，结果发现：①促进聚焦和防御聚焦均正向预测双元创新及其平衡性与互补性，促进聚焦的预测作用更强；②探索式失败学习和利用式失败学习同时中介上述关系；③正向组织差错管理氛围正向调节促进聚焦与双元创新及其互补性的关系，负向组织差错管理氛围正向调节防御聚焦与双元创新及其互补性的关系。