Schools of thought in organizational learning

This article attempts to bring coherence to the diversity that characterizes organizational learning research. It argues that organizational learning is embedded in four schools of thought: an economic school, a managerial school, a developmental school, and a process school. The article provides a comprehensive analysis of the schools, describes how they differ from each other, and outlines how each of them can be employed effectively. To demonstrate the benefits of theoretical plurality, the four schools are applied to the key marketing topics of market orientation and new product development. Implications for future research in marketing are provided. Simon J. Bell is a lecturer in marketing in the Faculty of Economics and Commerce at the University of Melbourne. Gregory J. Whitwell is an associate professor of marketing in the Faculty of Economics and Commerce at the University of Melbourne. Bryan A. Lukas is an associate professor of marketing and director of the Master of Applied Commerce Program in the Faculty of Economics and Commerce at the University of Melbourne.     

Does Corporate Diversification Destroy Value?

We analyze several hundred firms that expand via acquisition and/or increase their number of business segments. The combined market reaction to acquisition announcements is positive but acquiring firm excess values decline after the diversifying event. Much of the excess value reduction occurs because our sample firms acquire already discounted business units, and not because diversifying destroys value. This implies that the standard assumption that conglomerate divisions can be benchmarked to typical stand-alone firms should be carefully reconsidered. We also show that excess value does not decline when firms increase their number of business segments because of pure reporting changes.     

Firm-hosted online brand communities and new product success

Many firms use online brand communities to support the launch of their new products. This study proposes a typology of firm-hosted online brand communities and examines whether such a classification system can improve predictions of new product success. A cross-industry analysis of 81 firm-hosted online brand communities shows that these communities reflect three archetypes. A subsequent survey of 170 community-hosting firms in the consumer durable goods industry reveals that the three types of communities are not equally important for new product success. Moreover, one archetype generally underperforms the other two as a new product support mechanism. Overall, the results demonstrate that firm-hosted online brand communities can be a predictor of new product success.     

Sharp IV Bounds on Average Treatment Effects on the Treated and Other Populations Under Endogeneity and Noncompliance

In the presence of an endogenous binary treatment and a valid binary instrument, causal effects are point identified only for the subpopulation of compliers, given that the treatment is monotone in the instrument. With the exception of the entire population, causal inference for further subpopulations has been widely ignored in econometrics. We invoke treatment monotonicity and/or dominance assumptions to derive sharp bounds on the average treatment effects on the treated, as well as on other groups. Furthermore, we use our methods to assess the educational impact of a school voucher program in Colombia and discuss testable implications of our assumptions. Copyright © 2015 John Wiley & Sons, Ltd.     

Innovation speed under uncertainty and competition

Innovation speed is widely considered to be a key factor for a firm's ability to maintain competitive advantage. Primarily, empirical evidence has found contradictory interdependencies regarding the role of innovation speed. The prevailing proposition of “the faster the better” has been challenged by results of empirical studies heavily depending on the methodological setup used. In contrast, we propose a model of the complete innovation process to study innovation speed under uncertainty and competition. We find that higher market uncertainty speeds up innovation and encourages firms to innovate incrementally. Strong competition tends to reduce innovation speed and encourages rather radical innovation.     

Competition versus cooperation: How technology-facilitated social interdependence initiates the self-improvement chain

Consumers are increasingly using technologies such as wearables or mobile apps to achieve their self-improvement goals. Such technologies often contain features that enable social interdependence (competition or cooperation) among users to support them in improving their engagement, performance, and well-being (life satisfaction and personal growth). However, the critical question remains: does competition or cooperation best serve users in attaining these self-improvement goals? Evidence from an online experiment and a field study reveals that competition is more effective in driving performance and personal growth, while cooperation is superior in terms of behavioral engagement and life satisfaction. Furthermore, the results indicate that the effects are mediated by strive for success and fear of failure, two counteracting psychological processes. While competition is the stronger trigger for both pathways, downstream effects vary depending on the self-improvement goal considered. This research thus provides insights into whether and how users can best realize their self-improvement goals using technologies that include social features.     

Whose trades convey information? Evidence from a cross-section of traders

This paper contributes empirically to our understanding of informed traders. It analyzes traders’ characteristics in a foreign exchange electronic limit order market via anonymous trader identities. We use six indicators of informed trading in a cross-sectional multivariate approach to identify traders with high price impact. More information is conveyed by those traders’ trades which—simultaneously—use medium-sized orders (practice stealth trading), have large trading volume, are located in a financial center, trade early in the trading session, at times of wide spreads and when the order book is thin.