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This article verified the construct of servant leadership and validated a measure developed in Western culture. Results from exploratory factor analysis (EFA) (N=285) produced a five-factor model – altruistic calling, emotional healing, persuasive mapping, wisdom, and community stewardship with less items than the original measure. Confirmatory factor analysis (CFA) (N=304) indicated that the 5-factor servant leadership model fits the data best. Correlation analysis of the supervisor-subordinate paired sample (N=209 dyads) showed that servant leadership has more common features with transformational leadership and less with paternalistic leadership; the predictive power of servant leadership was roughly equivalent to that of transformational leadership but higher than that of paternalistic leadership when predicting criterion variables such as overall satisfaction and deviance behavior. Our results totally demonstrated that the revised servant leadership scale in Chinese culture has higher reliability and validity, which could be used for subsequent studies as an effective instrument.

Educators’ decisions regarding what instructional practices they use have significant consequences for the learning and life outcomes of their students. This is especially true for students with learning and behavioral disabilities, who require highly effective instruction to succeed in school and achieve their goals. In this volume of Advances in Learning and Behavioral Disabilities chapter authors provide readers with accessible information on theory, critical elements, and research for instructional practices that are and are not supported by bodies of scientific research as effective in critical outcome areas. Educators can use this content to inform and enhance their instructional decision making. To contextualize subsequent chapters, in this introductory chapter we discuss the research-to-practice gap in special education, the importance of considering scientific research when making instructional decisions and considerations for interpreting and applying research findings on instructional practices. We conclude with a preview of the chapters in the volume.

We discuss recent methodological advances in the NK modeling in the Strategy literature and analyze issues related to its current use including different implementation algorithms, relative versus absolute performance, establishing significance of simulation results and long- versus short-term performance measurements. To facilitate cross-pollination of ideas, we point to advances and extensions of the model developed in other fields that could be effectively utilized to answer Strategy-related questions. These include modeling the strength of interaction, varying the importance of decision elements, utilizing alternative functional forms, incorporating endogeneity in N and K parameters and embedding the NK model in a broader dynamic framework.

Smart card-based E-payment systems are receiving increasing attention as the number of implementations is witnessed on the rise globally. Understanding of user adoption behavior of E-payment systems that employ smart card technology becomes a research area that is of particular value and interest to both IS researchers and professionals. However, research interest focuses mostly on why a smart card-based E-payment system results in a failure or how the system could have grown into a success. This signals the fact that researchers have not had much opportunity to critically review a smart card-based E-payment system that has gained wide support and overcome the hurdle of critical mass adoption. The Octopus in Hong Kong has provided a rare opportunity for investigating smart card-based E-payment system because of its unprecedented success. This research seeks to thoroughly analyze the Octopus from technology adoption behavior perspectives.

Cultural impacts on adoption behavior are one of the key areas that this research posits to investigate. Since the present research is conducted in Hong Kong where a majority of population is Chinese ethnicity and yet is westernized in a number of aspects, assuming that users in Hong Kong are characterized by eastern or western culture is less useful. Explicit cultural characteristics at individual level are tapped into here instead of applying generalization of cultural beliefs to users to more accurately reflect cultural bias. In this vein, the technology acceptance model (TAM) is adapted, extended, and tested for its applicability cross-culturally in Hong Kong on the Octopus. Four cultural dimensions developed by Hofstede are included in this study, namely uncertainty avoidance, masculinity, individualism, and Confucian Dynamism (long-term orientation), to explore their influence on usage behavior through the mediation of perceived usefulness.

TAM is also integrated with the innovation diffusion theory (IDT) to borrow two constructs in relation to innovative characteristics, namely relative advantage and compatibility, in order to enhance the explanatory power of the proposed research model. Besides, the normative accountability of the research model is strengthened by embracing two social influences, namely subjective norm and image. As the last antecedent to perceived usefulness, prior experience serves to bring in the time variation factor to allow level of prior experience to exert both direct and moderating effects on perceived usefulness.

The resulting research model is analyzed by partial least squares (PLS)-based Structural Equation Modeling (SEM) approach. The research findings reveal that all cultural dimensions demonstrate direct effect on perceived usefulness though the influence of uncertainty avoidance is found marginally significant. Other constructs on innovative characteristics and social influences are validated to be significant as hypothesized. Prior experience does indeed significantly moderate the two influences that perceived usefulness receives from relative advantage and compatibility, respectively. The research model has demonstrated convincing explanatory power and so may be employed for further studies in other contexts. In particular, cultural effects play a key role in contributing to the uniqueness of the model, enabling it to be an effective tool to help critically understand increasingly internationalized IS system development and implementation efforts. This research also suggests several practical implications in view of the findings that could better inform managerial decisions for designing, implementing, or promoting smart card-based E-payment system.

This chapter provides a contemporary view of state-of-the science research and thinking done in the areas of selection and classification. It takes as a starting point the observation that the world of work is undergoing important changes that are likely to result in different occupational and organizational structures. In this context, we review recent research on criteria, especially models of job performance, followed by sections on predictors, including ability, personality, vocational interests, biodata, and situational judgment tests. The paper also discusses person-organization fit models, as alternatives or complements to the traditional person-job fit paradigm.

Transaction cost economics (TCE) has received extensive attention from a variety of disciplines, but it holds a particularly central place in strategic management. The focal issues examined by TCE, vertical integration and interfirm governance (including contract design), are important determinants of firm performance – the central issue in the field of strategy. While several extensive reviews of empirical work in TCE have been undertaken, one key issue has received relatively little attention – construct validity in TCE empirical research. The purpose of this chapter is to highlight some of the challenges of operationalizing key transaction cost predictions and provide some ideas for better measuring core constructs such as asset specificity, uncertainty, and frequency.

Traditionally, the main goal of empirical research has been to test theories. Yet, theory-testing is problematical in the social sciences. Findings from empirical studies have proven hard to replicate and there is a lack of progress in creating a coherent and cumulative knowledge base. There are both practical and epistemological issues that prevent effective empirical tests. It is difficult to operationalize constructs and design decisive tests of theories. The laws and regularities posited in theories in the natural sciences are independent of human actors, while theories in the social sciences describe systems and structures that are created and maintained by human actors. Nonetheless, human actors are sometimes guided by theories. They may change their behavior or make different decisions based on academically produced knowledge. This relationship is usually mediated by the use of tools of various sorts (i.e., design principles, diagrams, or stories). I discuss why scholars should conduct empirical research to test the pragmatic validity of tools that are derived from theories rather than testing the scientific validity of the theories themselves.

This chapter presents and discusses various steps to ensure empirical reliability and theoretical validity in the construction of competence scales in graduate surveys. The development of a scale to assess demands of the teacher profession and related abilities in graduates for a German tracer study project serves as an example. Confirmatory factor analysis (CFA), principal component analysis (PCA) and Cronbach’s coefficient alpha are employed to test the reliability of the scale. Differing results illustrate how the method applied influences decisions in the process of developing a scale. Our findings show that multidimensionality can only be tested appropriately by CFA; PCA renders no feasible or similar results to CFA depending on the predetermination of the number of factors; Cronbach’s alpha produces misleading results as the prerequisite assumption of unidimensionality is violated by the data.