Dendi Ramdani

The Impact of Board Independence and CEO Duality on Firm Performance: A Quantile Regression Analysis for Indonesia, Malaysia, South Korea and Thailand

We study the effect of board independence and CEO duality on firm performance for a sample of stock-listed enterprises from Indonesia, Malaysia, South Korea and Thailand, applying quantile regression. Quantile regression is more powerful than classical linear regression since quantile regression can produce estimates for all conditional quantiles of the distribution of a response variable, whereas classical linear regression only estimates the conditional mean effects of a response variable. Moreover, quantile regression is better able to handle violations of the basic assumptions in classical linear regression. Our empirical evidence shows that the effect of board independence and CEO duality on firm performance is different across the conditional quantiles of the distribution of firm performance, something classical linear regression would leave unidentified. This finding suggests that estimating the quantile effect of a response variable can well be more insightful than estimating only the mean effect of the response variable. Additionally, we find a negative moderating effect of board size on the positive relationship between CEO duality and firm performance.

Ambitious Entrepreneurship: A Review of Growth Aspirations, Intentions, and Expectations

In the study of entrepreneurial behavior types, “ambitious entrepreneurship” recently emerged as a new research concept. Unfortunately, a systematic overview of what is known (and not known) about this topic is missing. In particular, insights into the various definitions, measures, and antecedents of ambitious entrepreneurship are lacking. In this chapter, we offer a state-of-the-art review and analysis of extant research on ambitious entrepreneurship. We structure the literature review by providing insights into antecedents of ambitious entrepreneurship, and extensively discuss the conceptualization and operationalization of this research concept. We clarify the differences between related concepts such as growth intention, expectation, and aspiration, and argue how all these concepts fit into a unifying framework of ambitious entrepreneurship. We summarize promising future research avenues for the study of ambitious entrepreneurship, both from a methodological and a conceptual point of view.

The added value of implicit motives for management research Development and first validation of a Brief Implicit Association Test (BIAT) for the measurement of implicit motives

Many Management (sub-)disciplines, from Organizational Behavior and Marketing to Accounting and Strategy, are interested in antecedents and consequences of individual attitudes and traits. A key aspect of personality profiles are explicit and implicit motives. Yet, Management scholars mainly focus on explicit motives, with limited attention to implicit motives. We argue that this state of affairs probably came into being because current Management researchers mainly rely on implicit motive measures that are either difficult to apply or to develop, hampering researchers from applying implicit motive measures. To overcome the downsides of available instruments, we develop a Brief Implicit Association Test (BIAT) as an efficient, reliable and valid measure of implicit motives, particularly the needs for achievement, affiliation and power. To explore our BIAT’s predictive validity, we apply this measure to a specific research domain within Management: Entrepreneurship. We examine implicit motives’ association with entrepreneurial self-efficacy, business founding, and financial profitability. Our results show that the introduction of implicit motives can unlock stranded discussions in this research domain. Overall, we argue that implicit motives can help to push the boundaries of the study of deep-level attributes in a wide range of organizational and managerial settings.