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In an evaluation of a job training program, the causal effects of the program on wages are often of more interest to economists than the program's effects on employment or on income. The reason is that the effects on wages reflect the increase in human capital due to the training program, whereas the effects on total earnings or income may be simply reflecting the increased likelihood of employment without any effect on wage rates. Estimating the effects of training programs on wages is complicated by the fact that, even in a randomized experiment, wages are truncated by nonemployment, i.e., are only observed and well-defined for individuals who are employed. We present a principal stratification approach applied to a randomized social experiment that classifies participants into four latent groups according to whether they would be employed or not under treatment and control, and argue that the average treatment effect on wages is only clearly defined for those who would be employed whether they were trained or not. We summarize large sample bounds for this average treatment effect, and propose and derive a Bayesian analysis and the associated Bayesian Markov Chain Monte Carlo computational algorithm. Moreover, we illustrate the application of new code checking tools to our Bayesian analysis to detect possible coding errors. Finally, we demonstrate our Bayesian analysis using simulated data.

The estimation of the effects of treatments – endogenous variables representing everything from child participation in a pre-kindergarten program to adult participation in a job-training program to national participation in a free trade agreement – has occupied much of the theoretical and applied econometric research literatures in recent years. This volume brings together a diverse collection of papers on this important topic by leaders in the field from around the world. This collection draws attention to several key facets of the recent evolution in this literature.

Creativity and innovation have been buzzwords of managerial discourse over the last few decades as they contribute to the long-term survival and competitiveness of firms. Given the non-linear, causally ambiguous, and intangible nature of all innovation-related phenomena, management scholars have been trying to uncover factors that contribute to creativity and innovation from multiple lenses ranging from organizational behavior at the micro-level to strategic management at the macro-level. Along with important and insightful developments in these research streams that evolved independently from one another, human resource management (HRM) research – especially from a strategic perspective – has only recently started to contribute to a better understanding of both creativity and innovation. The goal of this chapter is to review the contributions of strategic HRM research to an improved understanding of creativity at the individual-level and innovation at the firm-level. In organizing this review, the authors rely on the open innovation funnel as a metaphor to review research on both HRM practices and HRM systems that contribute to creativity and innovation. In the last section, the authors focus on more recent developments in HRM research that focus on ambidexterity – as a way for HRM to simultaneously facilitate exploration and exploitation. This chapter concludes with a discussion of future research directions.

Acquisition integration is important to realize synergies and to achieve acquisition success. However, there is a lack of clarity on pertinent integration approaches suggesting that integration is more complex and dynamic than traditionally assumed. In this chapter, we shed light on ambiguous cause effect relationships by investigating the effect of integration related decisions on intermediate goals. Additionally, we argue that entrepreneurial integration skills, or proactivity under ambiguity, are needed to keep pace with the dynamism inherent in acquisition integration. Based on primary data on 116 acquisitions, we find that entrepreneurial integration skills can display both advantages and disadvantages. While it helps to realize expected and serendipitous synergies, it can also trigger employee uncertainty due to decreased transparency. In supplementary analysis, we show measures to outperform with various integration approaches. Implications for management research and practice are identified.

This chapter presents a review of the state-of-the-art in the employee perspective on mergers and acquisitions (M&As). The authors’ aim is to enhance the understanding of the role of employees in M&As. This chapter contributes by presenting a synthesis of how the employee perspective has been studied by describing the methods, the context (industry and geographic location), and publication outlets. Furthermore, this chapter contributes by synthesizing the employee perspective literature into five distinct research streams: (1) employee reactions; (2) culture; (3) communication; (4) knowledge; and (5) speed. The authors reflect on the main findings of each stream and conclude by proposing future directions for research on the role of employees in M&As to (re)generate interest in the topic.

The purpose of this paper is to examine the antecedents of organizational ambidexterity of foreign ventures in an emerging market. Organizational ambidexterity, the simultaneous pursuit of exploration and exploitation, represents a key innovation strategy. Yet, the driving factors of such innovation strategies for foreign ventures competing in emerging markets have been underresearched. In this study, unpacking the construct of organizational ambidexterity into two dimensions (i.e. the combined dimension [CD] and the balance dimension [BD]), the authors aim to investigate how firm-level and industry-level factors drive foreign ventures in pursuing exploration and exploitation and maximizing the benefits of both.

This study adopts the hierarchical multiple regression approach using a sample of foreign ventures operating in high-tech manufacturing industries in China.

The authors find that the firm-level factor of strategic flexibility leads positively to the CD of organizational ambidexterity, whereas the industry-level factor of technological turbulence has a significantly positive impact on the BD.

This study provides important insights into the driving factors of organizational ambidexterity for foreign ventures competing in emerging markets.

Over the last few decades, management has witnessed a proliferation of research on mergers and acquisitions (M&As) and strategic alliances (SAs). Although both fields have been widely studied, the relationship between the two bodies of literature has not been sufficiently explored. Despite the enormous commonality between both phenomena in terms of the drivers behind them and of the critical success factors associated with the M&A and alliance process management, scholars from the two fields have rarely exchanged findings and insights, even though they may be highly relevant to each other. M&A and SA research remain mostly separated from each other, thus minimizing the ability for more mutually beneficial complementary and synergetic knowledge sharing effects.

This chapter synthesizes and compares existing theoretical perspectives from the M&A and SA literatures and identifies opportunities for future research and knowledge cross fertilization between the two fields. Building upon previous review studies about M&A and SA literatures, the authors develop a comparative longitudinal review of both literatures published in top management journals over a 27-year period. For that purpose, the authors resort to machine learning algorithms to discover thematic patterns that may have gone unnoticed by using traditional review methods.

By highlighting some of the shortcomings that limit the authors’ theoretical and practical understandings, they challenge scholars from both fields (M&A and SA) to go beyond what they think they know from compartmentalized received theory, and draw upon novel and meaningful ideas, concepts, and theoretical approaches from “the other side of the fence.” The authors believe that such a dialog will facilitate further theoretical exploration and empirical investigation of both phenomena and produce insights that will influence the practical management of M&A and SAs.

This research aims to comprehensively investigate when and how cognitive conflict benefits team innovation in cross-functional project teams (CFPTs), by exploring the moderating role of knowledge leadership and dual mediation mechanisms of elaboration of task-related information/knowledge and affective conflict.

All hypotheses have been empirically tested by using structural equation model to analyze the quantitative data from a questionnaire survey covering 73 CFPTs in China.

Results indicate that knowledge leadership positively moderates the relationship between cognitive conflict and CFPT innovation. This moderating effect is directly or indirectly revealed by the dual mediating roles of task-related information/knowledge elaboration and affective conflict, which are two processes manifesting whether cognitive conflict can or cannot be incorporated into team innovation.

Despite the external validity of results limited by convenient sampling method, the findings offer implications for promoting CFPT innovation. This can be achieved by developing competent knowledge leadership into team sensegiver, dissent reconciler and facilitator to accentuate benefits of cognitive conflict in information/knowledge elaboration and attenuate the likelihood of escalating to affective conflict.

This study advances the understanding of why cognitive conflict has an equivocal effect on team innovation in the context of CFPT by originally revealing how leaders’ role in information/knowledge management acts as a contingency and suggesting the dual mediating mechanisms that reflect the contingent impact. Project-based teams or organizations, characterized by cognitive clashes, can enhance innovation performance by shaping the meaningfulness of information/knowledge activities triggered by cognitive conflict.