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In this commentary, I highlight a few of the assertions made by McDaniel et al. (2013) about the importance of complexity science guided management practices, and extend these ideas specifically to how we might think about reducing seemingly intractable problems in health care such as patient safety, patient falls, hospital acquired infection, and the rise of chronic illness and obesity. I suggest that such changes will require managers and providers to view health care organizations and patients as complex adaptive systems and include patients as full participants in co-producing their health care.

The concept of entrepreneurial orientation (EO) attracts considerable attention in the organizational literature. Focusing on issues related to measurement of EO and using a three-pronged framework to organize the growing diversity of EO measures, the authors conduct a systematic literature review on how EO is captured and assessed in the empirical literature. Specifically, the authors classify 551 empirical works according to the approach to measurement (i.e., managerial perceptions, content analysis, and resource allocations) which allows the authors to document and critically analyze prevalent measurement practices within the literature. Based on the synthesis, the authors identify key measurement-related tensions that may inhibit cumulative knowledge development in the area of EO, such as ad hoc modification of seminal scales and lack of theoretical clarity with respect to measurement. Additionally, the authors find that research into the antecedents of EO as well as causality and temporality of the phenomenon is underdeveloped, which the authors attribute to scarce use of mixed methods. The authors conclude chapter by discussing the challenges involved in measuring EO and offering possible recommendations for future inquiry.

To examine the evolution of health care integration strategies and associated conceptualization and practice through a review and synthesis of over 25 years of international academic research and literature.

A search of the health sciences literature was conducted using PubMed and EMBASE. A total of 114 articles were identified for inclusion and thematically analyzed using a strategy content model for systems-level integration.

Six major, inter-related shifts in integration strategies were identified: (1) from a focus on horizontal integration to an emphasis on vertical integration; (2) from acute care and institution-centered models of integration to a broader focus on community-based health and social services; (3) from economic arguments for integration to an emphasis on improving quality of care and creating value; (4) from evaluations of integration using an organizational perspective to an emerging interest in patient-centered measures; (5) from a focus on modifying organizational and environmental structures to an emphasis on changing ways of working and influencing underlying cultural attitudes and norms; and (6) from integration for all patients within defined regions to a strategic focus on integrating care for specific populations. We propose that underlying many of these shifts is a growing recognition of the value of understanding health care delivery and integration as processes situated in Complex-Adaptive Systems (CAS).

This review builds a descriptive framework against which to assess, compare, and track integration strategies over time.

The authors propose a semiparametric approach for testing independence between two infinite-order cointegrated vector autoregressive series (IVAR(∞)). The procedures considered can be viewed as extensions of classical methods proposed by Haugh (1976, JASA) and Hong (1996b, Biometrika) for testing independence between stationary univariate time series. The tests are based on the residuals of long autoregressions, hence allowing for computational simplicity, weak assumptions on the form of the underlying process, and a direct interpretation of the results in terms of innovations (or shocks). The test statistics are standardized versions of the sum of weighted squares of residual cross-correlation matrices. The weights depend on a kernel function and a truncation parameter. Multivariate portmanteau statistics can be viewed as a special case of our procedure based on the truncated uniform kernel. The asymptotic distributions of the test statistics under the null hypothesis are derived, and consistency is established against fixed alternatives of serial cross-correlation of unknown form. A simulation study is presented which indicates that the proposed tests have good size and power properties in finite samples.

This paper proposes a new class of estimators for the autoregressive coefficient of a dynamic panel data model with random individual effects and nonstationary initial condition. The new estimators we introduce are weighted averages of the well-known first difference (FD) GMM/IV estimator and the pooled ordinary least squares (POLS) estimator. The proposed procedure seeks to exploit the differing strengths of the FD GMM/IV estimator relative to the pooled OLS estimator. In particular, the latter is inconsistent in the stationary case but is consistent and asymptotically normal with a faster rate of convergence than the former when the underlying panel autoregressive process has a unit root. By averaging the two estimators in an appropriate way, we are able to construct a class of estimators which are consistent and asymptotically standard normal, when suitably standardized, in both the stationary and the unit root case. The results of our simulation study also show that our proposed estimator has favorable finite sample properties when compared to a number of existing estimators.

Emphasising the significance of managing environmental and social issues for businesses, the chapter aims at highlighting the need of developing a non-financial risk management system for elevating corporate social responsibility (CSR) performance in China. Particularly, through discussing its importance, opportunities, and challenges.

Analysis and discussion of the chapter are based on multiple sources of information. Review of literature includes authoritative academic articles, reports from renowned global organisations, media coverage of corporations, and examples of business cases in China.

Several key findings are covered in the chapter. First of all, environmental and social concerns are usually being deemed as intangible issues that need to be properly articulated and managed by an effective non-financial risk management system for enhancing corporate sustainability in China. Secondly, through different interpretations of sustainability, links could be drawn for non-financial risk management and sustainability. Thirdly, by explaining the impacts from non-financial risk management to sustainable development and profits, the chapter has argued CSR as a clear business case for any company in China. Fourthly, challenges are also portrayed for the effective management of non-financial risk management by corporations. Finally, the need of a well-defined non-financial risk management system for helping businesses to be more competitive, thus, moving closer to sustainability in China and elsewhere is provided.

Integrating environmental and social risks is critical to the effective management of any corporation’s real risks and to improve resource allocation in a sustainable fashion. This demands a systematic and strategic identification of issues through non-financial risk management. Most significantly, this chapter has shown the way this can be achieved by any corporation in China, and the concepts can be applied into other societies.

The contribution of the chapter is thought to be significant. Although there exists a wide body of research on sustainable development, risk management and CSR in China, there is limited insight into how corporations can effectively conceptualise such intangible or non-financial risks in relation to sustainability.

This chapter illuminates the impact of providing informal learning experiences for students pursuing Science, Technology, Engineering, and Mathematics (STEM) teaching careers at a time when there is a considerable shortage of qualified teachers in America's urban centers. Preservice STEM teachers were provided with the opportunity to participate in a National Science Foundation (NSF) grant funded Noyce Internship Program prior to serving as counselors and teaching assistants in a STEM camp for underrepresented middle school students. Through the Noyce Internship Institute, participants were introduced to interactive sessions that model promising teaching practices including inquiry-based and project-based learning. This narrative inquiry examines the impact of these experiences on preservice STEM teachers' self-efficacy and highlights outcomes in three areas: increase of preservice teachers' confidence, classroom management, and strengthening their desire to teach STEM.