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The purpose of this paper is to propose and empirically test a theoretical model that considers the predictors of an individual’s perceptions of information privacy, and also how it relates to his/her behavioral intention toward approaching hospital web sites.

This paper collects data using survey methodology. A total of 331 usable participants are gathered and analyzed via structural equation modeling.

Significant predictors of information privacy concerns include a stated online privacy policy and a hospital’s reputation. Further, online privacy policy predicts a hospital’s reputation. Finally, hospital reputation and information privacy concerns significantly predict an individual’s behavioral intention toward approaching hospital web sites.

The study confirmed that an online privacy policy and reputation can effectively alleviate specific information privacy concerns; therefore, this may indicate that these two factors should be considered whenever investigating individuals’ information privacy concerns.

To acquire a good reputation and to diminish individuals’ information privacy concerns toward hospital web sites, hospitals should pay attention to the posting of an online privacy policy and communicating such policies to given individuals.

This paper fulfils the gap of exploring the relationship among online privacy policy, organization reputation, and information privacy concerns. Further, the hypothesized model and its findings could also provide useful information for managers who are intent on boosting hospital web site usage frequency patterns.

Over the past decade, the rapid evolution of social media has impacted the field of human resource management in numerous ways. In response, scholars and practitioners have sought to begin an investigation of the myriad of ways that social media impacts organizations. To date, research evidence on a range of HR-related topics are just beginning to emerge, but are scattered across a range of diverse literatures. The principal aim of this chapter is to review the current literature on the study of social media in HRM and to integrate these disparate emerging literatures. During our review, we discuss the existent research, describe the theoretical foundations of such work, and summarize key research findings and themes into a coherent social media framework relevant to HRM. Finally, we offer recommendations for future work that can enhance knowledge of social media’s impact in organizations.

The purpose of this paper is to examine if personal identification could explicate the black box between participative leadership and employee ambidexterity. Also, the authors aim to explore how and why the top-down effects of higher-level leadership styles affect lower-level outcomes.

The authors collected multilevel and multisource data from top manager teams, and unit managers and employees of research and development, marketing and sales, and operations from Taiwanese technology firms.

The results revealed that individual-level personal identification partially mediated the relationship between firm-level participative leadership and individual-level employee ambidexterity, and individual-level coworker social support moderated the effect of firm-level participative leadership on individual-level employee ambidexterity through individual-level personal identification.

This paper demonstrated the importance of participative leadership and personal identification. It contributed to profound comprehension for potential mechanisms of individual-level personal identification and an enhancer of individual-level coworker social support why and how affects firm-level participative leadership on individual-level employee ambidexterity.

The purpose of this paper is to investigate the impacts of strategic control and operational control on new venture performance in the China context.

This study tests the hypotheses in a sample of 83 new ventures that have equity investment by established firms and are founded between 1993 and 2007 that issued initial public offerings while not more than eight years old.

The results of this study show that: strategic control has a significantly negative relationship with new venture performance; operational control has a significantly positive relationship with new venture performance; industry relatedness between the corporate investor and the new venture and the new venture’s political ties moderate the relationships between the two types of control and new venture performance. The results are robust to alternative measurements of new venture performance.

The management control that the corporate investor exercises over the new venture is a significant determinant of the new venture success. Managers have to distinguish between strategic control and operational control and understand their impacts on new ventures.

This study highlights the issue of management of corporate venturing capital relationships from the new venture’s perspective. In addition, this study separates strategic and operational control within management control and examines how they influence new venture performance.

To examine how vocabulary instruction can lead toward students connecting the known to the familiar with the unknown.

Theoretical advances in vocabulary acquisition and utility are discussed in relation to word reading and knowledge formation. Extending theory requires pedagogical planning and reinforcement to promote skill learning first toward preparing students to have the capacity to acquire vocabulary across the content areas and in turn, understand and apply that knowledge toward problem solving.

Students must be scaffolded toward connecting what they know with that which is familiar and eventually with the unknown; only then can we extend learning beyond our guidance and supervision. Students must be taught how and when to use vocabulary acquisition strategies so they are prepared to overcome difficulties associated with word meanings in independent reading.

It is timely for rich, varied, and complete vocabulary instruction to serve as the basis for learning across the curriculum. Words are the predecessors of tomorrow’s learning and we must consider how to best provide instruction for students who overuse sight words, text shorthand more than they write formally, and even substitute inappropriate language based upon a lack of vocabulary knowledge and ability to articulate their feelings.

This study undertakes empirical analysis of the factors that have influenced economic growth in China's provinces during the process of institutional transformation, and to examine whether the disparities in economic growth between provinces have been expanding or diminishing.

Pooled cross‐section (provinces) and time‐series data are employed, with the error components method also being used for the empirical testing.

Empirical test results using the error components model have shown that during the period from 1988 to 1998, there was a tendency towards divergence of the economic growth rates achieved by China's provinces, with the variables relating to the employed population, changes in property rights and foreign direct investment (FDI), all having a positive impact on economic growth.

With China's huge size and the idiosyncrasies of its constituents, it is difficult to quantify the data collected when measuring the geographical, social, institutional and economic ingredients of the provinces.

Whether or not the process of institutional transformation in China succeeds in building a truly efficient system will depend on innovation, a process within which the accumulation and transmission of knowledge plays a very important role.

The establishment of the empirical model in this study is based on convergence testing using the endogenous growth model, and takes into consideration the impact which China's institutional transformation has had on economic growth in individual provinces.

Examines the causal relationship between interest rates, savings and income in the Chinese economy over the period 1952 to 1999, using the cointegration test and Bayesian vector autoregression (BVAR) for empirical testing. The empirical evidence from the cointegration test confirms that there is a stable long‐run relationship between interest rates, savings and income, whilst the BVAR causality test shows unidirectional causality running from savings to income. For China’s transitional economy, it is therefore important to establish well‐developed financial institutions – particularly the independence of the Central Bank – interest rate liberalization and sound financial intermediation, all of which are important for the efficient allocation of capital, which, in turn, can help to establish sustainable economic growth.

Presents results of a study on evaluating the efficiency‐effectiveness relationship of quality circles (QCs). Defines QCs as a means by which organizational goals can be achieved. States that prior studies have examined QCs in an organizational setting. However, these studies have not provided an approach to relate effectiveness and efficiency of QCs at the same time. Extends the body of literature on QCs by presenting an approach management can use to examine the efficiency‐effectiveness relationship of QCs. Uses a data envelopment analysis (DEA) approach and computer‐generated data to illustrate the means by which QCs can be evaluated. Notes that DEA is a linear programming‐ (LP) based method. Provides an approach for visualizing the efficiency‐effectiveness relationship of QCs. Uses the LP model output to gain insight into the ways to improve performance of QCs and notes that the LP output could be used by a manager to take the necessary corrective action.

The quality level setting problem determines the optimal process mean, standard deviation and specification limits of product/process characteristic to minimize the expected total cost associated with products. Traditionally, it is assumed that the product/process characteristic is normally distributed. However, this may not be true. This paper aims to explore the quality level setting problem when the probability distribution of the process characteristic deviates from normality.

Burr developed a density function that can represent a wide range of normal and non-normal distributions. This can be applied to investigate the effect of non-normality on the studies of statistical quality control, for example, designs of control charts and sampling plans. The quality level setting problem is examined by introducing Burr’s density function as the underlying probability distribution of product/process characteristic such that the effect of non-normality to the determination of optimal process mean, standard deviation and specification limits of product/process characteristic can be studied. The expected total cost associated with products includes the quality loss of conforming products, the rework cost of non-conforming products and the scrap cost of non-conforming products.

Numerical results show that the expected total cost associated with products is significantly influenced by the parameter of Burr’s density function, the target value of product/process characteristic, quality loss coefficient, unit rework cost and unit scrap cost.

The major assumption of the proposed model is that the lower specification limit must be positive for practical applications, which definitely affects the space of feasible solution for the different combinations of process mean and standard deviation.

The proposed model can provide industry/business application for promoting the product/service quality assurance for the customer.

The authors adopt the Burr distribution to determine the optimum process mean, standard deviation and specification limits under non-normality. To the best of their knowledge, this is a new method for determining the optimum process and product policy, and it can be widely applied.