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.     

A gradient boosting approach to the Kaggle load forecasting competition

We describe and analyse the approach used by Team TinTin (Souhaib Ben Taieb and Rob J Hyndman) in the Load Forecasting track of the Kaggle Global Energy Forecasting Competition 2012. The competition involved a hierarchical load forecasting problem for a US utility with 20 geographical zones. The data available consisted of the hourly loads for the 20 zones and hourly temperatures from 11 weather stations, for four and a half years. For each zone, the hourly electricity loads for nine different weeks needed to be predicted without having the locations of either the zones or stations. We used separate models for each hourly period, with component-wise gradient boosting for estimating each model using univariate penalised regression splines as base learners. The models allow for the electricity demand changing with the time-of-year, day-of-week, time-of-day, and on public holidays, with the main predictors being current and past temperatures, and past demand. Team TinTin ranked fifth out of 105 participating teams.     

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.     

Creating competitive advantage: Linking perspectives of organization learning,innovation behavior and intellectual capital

Drawing on learning theories and the intellectual capital (IC) theory, organizational learning research has discussed the benefits of searching for market opportunities and maintaining a competitive advantage in dynamic environments. To explain organizational performance and survival, the previous literature has focused mainly on what organizations do, but it has failed to address how and what they should do. This study argues that if hotel management is open-minded about exploratory and exploitative learning, it can open the door to capturing opportunity and competitive advantage through increased innovation behavior and human capital accumulation. Further, IC theory has also confirmed that social capital and relational capital will strengthen the relationship between innovation behavior and human capital. This study analyzes data from 595 hotel managers and finds strong support for the proposed hypotheses.     

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.     

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.     

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.     

Lean principles, learning, and knowledge work: Evidence from a software services provider

In this paper, we examine the applicability of lean production to knowledge work by investigating the implementation of a lean production system at an Indian software services firm. We first discuss specific aspects of knowledge work—task uncertainty, process invisibility, and architectural ambiguity—that call into question the relevance of lean production in this setting. Then, combining a detailed case study and empirical analysis, we find that lean software projects perform better than non-lean software projects at the company for most performance outcomes. We document the influence of the lean initiative on internal processes and examine how the techniques affect learning by improving both problem identification and problem resolution. Finally, we extend the lean production framework by highlighting the need to (1) identify problems early in the process and (2) keep problems and solutions together in time, space, and person.     

An explanation for the price puzzle: Asymmetric information and expectation dynamics

Using theoretical and empirical analyses, this paper shows that the expectation dynamics induced by information asymmetry between the Central Bank (CB) and the public can cause the price puzzle. The signalling and learning dynamics between the CB and a representative private-sector agent under asymmetric information is investigated. Inflation positively reacts to contractionary monetary policy because the change in the interest rate is perceived as a signal of the CB’s private information about higher future inflation and output by the public. The empirical section of the paper validates this theoretical argument using a VAR specification about the US economy. Besides providing an explanation for the price puzzle, the results of this paper has practical implications about transparency and monetary policy. The theoretical and empirical findings indicate that asymmetric information causes significant frictions in the transmission mechanism of monetary policy. These frictions induce short-run undesired effects like increase in expected inflation and actual inflation as a response to contractionary monetary policy which is identified as “the price puzzle”.     

中国通货膨胀的动态特征研究

现有测度通胀惯性的常用模型是仅含自身滞后因子的自回归模型,该模型不能有效反映通胀预期和波动性对通胀惯性的影响。本文在自回归模型基础上,构建了一个包含通胀惯性、学习型预期和波动性特征的通胀动态模型。该动态模型从均值和波动项两个方面反映了我国通胀水平的动态变化趋势和特征。针对上述模型不能有效反映通胀状态体制变化的缺点,本文还引入Markov机制转换模型来测度我国通胀水平的状态转移特征。利用分位数回归方法下的自回归模型、本文构建的通胀动态模型以及Markov机制转化模型实证研究了我国通胀的动态特征。分析表明:我国通胀水平具有较强的惯性特征;通胀惯性的形成机理比较复杂,学习型预期只能部分解释通胀惯性;通胀水平的状态转移时间比较长;通胀水平与其波动性有着正向的关系。