Self-serving leadership and innovative behavior: Roles of psychological entitlement and moral identity.

On the basis of social information processing theory, this study proposes a model of the influence mechanism of self-serving leadership (SL) on employee innovative behavior (IB), with psychological entitlement as the mediating variable and moral identity as the moderating variable. The paired data of 82 leaders and 372 employees collected at three time points are analyzed by the hierarchical linear modeling. Results corroborate that SL impairs employee IB. Moreover, the relationship between SL and employee IB is mediated by psychological entitlement. Finally, moral identity has a negative moderating effect of SL on psychological entitlement and an indirect effect on employee IB through psychological entitlement.

When to become an electronic business venture after the COVID-19 pandemic? The role of strategic orientation and perceived environmental turbulence in determining online market entry timing.

After the COVID-19 epidemic, a growing number of commercial entities have decided to enter the online platform and operated as an electronic business venture. However, the timing of entering the online market is a strategically important issue. On the basis of social capital theory and resource-based view, this study attempts to understand the different impacts of two strategic orientations (i.e., Guanxi orientation and entrepreneurial orientation) and perceived environmental turbulence (i.e., market turbulence and political turbulence) on online market entry timing. We test four hypotheses using data collected from 174 Chinese companies. Our results confirm that entrepreneurial orientation negatively impacts online market entry timing, and this effect is moderated by perceived market turbulence such that the negative relationship between entrepreneurial orientation and online market entry timing will be strengthened in higher market turbulence. By contrast, Guanxi orientation positively impacts online market entry timing, and the positive relationship between Guanxi orientation and online market entry timing will be weakened in higher political turbulence. Implications and future research directions are discussed.

Corrigendum to "A Way to Understand Inpatients Based on the Electronic Medical Records in the Big Data Environment".

[This corrects the article DOI: 10.1155/2017/9185686.].

A Way to Understand Inpatients Based on the Electronic Medical Records in the Big Data Environment.

In recent decades, information technology in healthcare, such as Electronic Medical Record (EMR) system, is potential to improve service quality and cost efficiency of the hospital. The continuous use of EMR systems has generated a great amount of data. However, hospitals tend to use these data to report their operational efficiency rather than to understand their patients. Base on a dataset of inpatients' medical records from a Chinese general public hospital, this study applies a configuration analysis from a managerial perspective and explains inpatients management in a different way. Four inpatient configurations (valued patients, managed patients, normal patients, and potential patients) are identified by the measure of the length of stay and the total hospital cost. The implications of the finding are discussed.

Research on Optimization of Pooling System and Its Application in Drug Supply Chain Based on Big Data Analysis.

Reform of drug procurement is being extensively implemented and expanded in China, especially in today's big data environment. However, the pattern of supply mode innovation lags behind procurement improvement. Problems in financial strain and supply break frequently occur, which affect the stability of drug supply. Drug Pooling System is proposed and applied in a few pilot cities to resolve these problems. From the perspective of supply chain, this study analyzes the process of setting important parameters and sets out the tasks of involved parties in a pooling system according to the issues identified in the pilot run. The approach is based on big data analysis and simulation using system dynamic theory and modeling of Vensim software to optimize system performance. This study proposes a theoretical framework to resolve problems and attempts to provide a valuable reference for future application of pooling systems.