The Digital Transformation of Search and Recombination in the Innovation Function: Tensions and an Integrative Framework*

Search and recombination are important mechanisms in the creativity phase of innovation. Digital transformation and the resulting pervasive digitalization of the innovation function have often been associated with increasing possibilities for search and recombination. In this paper, by systematically integrating the search and recombination literature with the literature on digitalization, we demonstrate that digitalization may engender new idiosyncratic tensions in the organizational antecedents of search and recombination and, by implication, in their likely outcomes. We propose that, depending on the interactions among the idiosyncratic tensions identified herein, knowledge recombination might spur very different outcomes, including knowledge layering, knowledge integration, knowledge grafting, or even no recombination at all (which we label “search for the sake of search”). These outcomes may not always be the initially planned desired outcomes. Finally, we provide implications of our integrative framework pertaining to product development and to organizing for innovation.     

What is Ethical Competence? The Role of Empathy,Personal Values,and the Five-Factor Model of Personality in Ethical Decision-Making

The objective of the present research was two-fold: (1) to provide a new definition of ethical competence, and (2) to clarify the influence of empathy, personal values, and the five-factor model of personality on ethical competence. The present research provides a comprehensive overview about recent approaches and empirically explores the interconnections of these constructs. 366 German undergraduate students were examined in a cross-sectional study that investigated the relationship of empathy, personal values, and the five-factor model of personality with moral judgment competence and counterproductive work behavior as indicators of moral judgment and behavior. We found self-transcendence values to be related to both, high levels of empathy and ethical competence, in contrast to self-enhancement values. Multiple mediation analysis revealed unique effects of empathy on ethical competence through values as mediators. Affective (but not cognitive) empathy transmitted its effect on ethical competence through benevolence, conformity, tradition, power, and hedonism. Most importantly, perspective taking lost its predictive power when investigated alongside affective empathy dimensions. These results converge to an important role of affective empathy, in particular empathic concern, with regard to personal values and ethical competence. Furthermore, the five-factor model of personality explained variance in measures of ethical competence. Our research suggests that organizational decision makers should consider the role of empathy, personal values, and the five-factor model in their human resource management in order to select employees with high ethical competence.     

The value relevance of IFRS in the European banking industry

The main purpose of the paper is to investigate the market valuation of accounting information in the European banking industry before and after the adoption of IFRS, the latest version of International Accounting Standards. In a value relevance framework, we apply panel methods to a multiplicative interaction model, in which the partial effects of earnings and book value on share prices are conditional on the adoption of IFRS. According to our evidence, the IFRS introduction enhanced the information content of both earnings and book value for more transparent banks. By contrast, less transparent entities did not experience significant increase in the value relevance of book value.     

The relational benefits of personalized communications in an online environment

This research investigates how personalized communications enhance customer‐company relationships, which ultimately produce favourable marketing outcomes. Two factors were manipulated in an online experiment: the perceived effort made by customers to obtain a personalized newsletter (high vs. low) and the level of relevance of the message (high vs. low). The results indicate that perceived effort positively affects calculative commitment (even more so for highly involved customers), while the level of relevance of the message increases affective commitment. In addition, the interaction between perceived effort and message relevance has significant effects on calculative and affective commitment. Finally, affective commitment partially mediates the relationships between relevance and both loyalty and word‐of‐mouth intentions. Managerial implications regarding the best usage of personalized communications are discussed. Copyright © 2013 ASAC. Published by John Wiley & Sons, Ltd.     

Maximin choice of voting rules for committees

In the context of a probabilistic voting model with dichotomous choice, we investigate the consequences of choosing among voting rules according to the maximin criterion. A voting rule is the minimum number of voters who vote favorably on a change from the status quo required for it to be adopted. We characterize the voting rules that satisfy the maximin criterion as a function of the distribution of voters’ probabilities to favor change from the status quo. We prove that there are at most two maximin voting rules, at least one is Pareto efficient and is often different to the simple majority rule. If a committee is formed only by “conservative voters” (i.e. voters who are more likely to prefer the status quo to change) then the maximin criterion recommends voting rules that require no more voters supporting change than the simple majority rule. If there are only “radical voters”, then this criterion recommends voting rules that require no less than half of the total number of votes.Received: June 2003, Accepted: September 2004, JEL Classification: D71Salvador Barberá, Carmen Beviá, Mirko Cardinale, Wioletta Dziuda, Joan Esteban, Mahmut Erdem, Bernard Grofman, Matthew Jackson, Kai Konrad, Raul Lopez, Jordi Massó, Hugh Mullan, Shmuel Nitzan, Ana Pires do Prado, Elisabeth Schulte, Arnold Urken and two anonymous referees provided helpful comments. Finally, I also acknowledge financial support from Capes, Brazilian Ministry of Education and Spanish Ministry of Science and Technology (Project BEC2002-02130).     

Scenarios of the organic food market in Europe

Scenario analysis is a qualitative tool for strategic policy analysis that enables researchers and policymakers to support decision making, and a systemic analysis of the main determinants of a business or sector. In this study, a scenario analysis is developed regarding the future development of the market of organic food products in Europe. The scenario follows a participatory approach, exploiting potential interactions among the relevant driving forces, as selected by experts. Network analysis is used to identify the roles of driving forces in the different scenarios, and the results are discussed in comparison with the main findings from existing scenarios on the future development of the organic sector.     

Learning and stability of the Bayesian–Walrasian equilibrium

Under the Bayesian–Walrasian Equilibrium (BWE) (see Balder and Yannelis, 2009), agents form price estimates based on their own private information, and in terms of those prices they can formulate estimated budget sets. Then, based on his/her own private information, each agent maximizes interim expected utility subject to his/her own estimated budget set. From the imprecision due to the price estimation it follows that the resulting equilibrium allocation may not clear the markets for every state of nature, i.e., exact feasibility of allocations may not occur. This paper shows that if the economy is repeated from period to period and agents refine their private information by observing the past BWE, then in the limit all agents will obtain the same information and market clearing will be reached. The converse is also true. The analysis provides a new way of looking at the asymmetric equilibrium which has a statistical foundation.     

Fast traders and slow price adjustments: an artificial market with strategic interaction and transaction costs

Journal of Economic Interaction and Coordination - In this paper, we propose an artificial market to model high-frequency trading where fast traders use threshold rules strategically to issue...