From a dyadic to a triadic perspective: Divestiture research implications for understanding pre- and post-acquisition processes

Acquisition and divestiture studies remain surprisingly disconnected, although both fields address corporate restructuring modes that are tightly linked. Acquisitions entail buying a business that another company divests or even, in many cases, a subsequent sale of formerly acquired activities. In this paper, we adopt a seller perspective, explore cross-fertilization areas, and identify important complementary and challenging insights that divesture research can bring to acquisition research. Focusing on sell-off, a major divesture type that is considered symmetrical to an acquisition, we discuss how divestiture research can shed novel light on pre- and post-acquisition stakeholders and processes. We propose two ways in which a divestiture perspective invites rethinking: 1) regarding actors, by stressing the need to consider triadic (divester–target–acquirer) rather than dyadic configurations (target–acquirer) and 2) regarding processes and time, by enlarging the temporal horizon of acquisition processes by divestiture processes, which precede but also sometimes exceed the acquisition. We contribute to acquisition research by providing a fresh look at stakeholder and process perspectives and identifying important future research avenues.     

浙江省城市绿色技术创新效率评价及影响因素分析

基于网络DEA模型和Malmquist指数模型，利用浙江省11个地级市的2011-2020年的数据，以降维后的污染指数为非期望产出对绿色技术创新效率进行测度和分析。发现:浙江各市总体上成果转化阶段的效率优于研发阶段，城市间发展差异较大；整体TFP指数均值为1.121，其提升主要源自技术进步；城镇化水平、产业结构优化、对外开放、政府干预和研发强度对绿色技术创新效率有促进作用，但经济发展水平与绿色技术创新效率的U型关系不显著。     

Correlation properties of continuous-time autoregressive processes delayed by the inverse of the stable subordinator

Abstract

We define the delayed Lévy-driven continuous-time autoregressive process via the inverse of the stable subordinator. We derive correlation structure for the observed non-stationary delayed Lévy-driven continuous-time autoregressive processes of order p, emphasizing low orders, and we show they exhibit long-range dependence property. Distributional properties are discussed as well.     

基于混合CVaR的供应链绿色研发-广告决策与协调机制研究

针对消费者绿色偏好异质性而引发产品需求不确定性的情形，构建了基于混合CVaR准则的绿色供应链双层风险决策模型，研究了一个具有不同风险态度制造商与一个具有不同风险态度零售商所组成供应链的最优绿色研发投入及广告宣传水平等决策问题，分析了成员不同风险态度对供应链相关决策的影响。在此基础上，提出一个基于风险补偿的双向成本分担契约协调机制，并给出实现供应链协调的合理转移支付区间，最后通过数值分析验证该协调机制的有效性。结果表明，无论供应链成员表现为何种风险态度，该契约均能实现供应链协调，并且对由风险规避制造商与风险追逐零售商所组成的供应链协调效果最为显著。     

Control charts based on dependent count data with deflation or inflation of zeros

The process of serially dependent counts with deflation or inflation of zeros is commonly observed in many applications. This paper investigates the monitoring of such a process, the first-order zero-modified geometric integer-valued autoregressive process (ZMGINAR(1)). In particular, two control charts, the upper-sided and lower-sided CUSUM charts, are developed to detect the shifts in the mean process of the ZMGINAR(1). Both the average run length performance and the standard deviation of the run length performance of these two charts are investigated by using Markov chain approaches. Also, an extensive simulation is conducted to assess the effectiveness or performance of the charts, and the presented methods are applied to two sets of real data arising from a study on the drug use.     

Explicit analytical solutions for ARL of CUSUM chart for a long-memory SARFIMA model

This paper aims to derive explicit analytical solutions for Average Run Length (ARL) of CUSUM chart for the SARFIMA(P,D,Q)_S process with exponential white noise. Measurement of performance was done with the ARL in terms of percentage error and CPU time. The results obtained from the explicit formulas were compared focusing on the performance using the numerical integral equation (NIE) method. Both methods had similarly excellent agreement with the percentage error at less than 0.25%. Meanwhile, the explicit formulas consumed less CPU time than the NIE method. It is clear that the explicit formulas are a good alternative in real applications.     

Looking into the ‘black box’ – unlocking the effect of integration on acquisition performance

Extending research on the performance of Mergers and Acquisitions (M&As), this paper seeks to explain how the post-acquisition integration phase affects acquisition performance. Despite extensive research efforts, there remains a scant understanding of how acquisition implementation, particularly in the post-acquisition integration phase, impacts the performance of M&As. Based on an extensive study of eight acquisitions, in this paper, a grounded model detailing the mechanisms by which the post-acquisition integration phase affects acquisition performance is developed. The model posits that integration-related factors do not bear directly upon acquisition performance. Instead, their effect is mediated by functional organizations in both firms. When focusing into these functional mediating dynamics, we observe that integration-related processual, behavioral and cultural factors affect the identified functional mediators in different ways. Going forward, we echo calls for integrated perspectives to the study of M&A and M&A performance in particular.     

感知风险对在线旅游产品购买意愿的影响分析

旅游电子商务发展迅猛,互联网购物平台的虚拟性和远程性强化了消费者感知风险,它也成为影响旅游电子商务发展的重要因素之一.文章聚焦消费者感知风险,运用SPSS 19.0及AMOS 21.0软件,构建以5个维度的感知风险为自变量、购买意愿为因变量、信任为调节变量的结构方程模型,探讨变量间相关关系.结果发现:感知风险对信任的影响差异较大,仅经济风险感知与信任呈显著负相关;感知风险对购买意愿总效应皆呈负相关;信任作为中介变量存在明显的调节作用,有效地降低了感知风险对购买意愿的负向影响.     

Local Estimation of the Conditional Stable Tail Dependence Function

We consider the local estimation of the stable tail dependence function when a random covariate is observed together with the variables of main interest. Our estimator is a weighted version of the empirical estimator adapted to the covariate framework. We provide the main asymptotic properties of our estimator, when properly normalized, in particular the convergence of the empirical process towards a tight centred Gaussian process. The finite sample performance of our estimator is illustrated on a small simulation study and on a dataset of air pollution measurements.     

Every Minute Counts: Using Process Improvement and Performance Feedback to Improve Patient Flow in an Emergency Department

Prolonged emergency department (ED) visits are associated with a number of adverse outcomes for patients as well as lower patient satisfaction scores and increased costs. Several factors that influence the length of ED visits are out of the control of hospital employees, but some opportunities exist to improve performance. For this study, the ED department of a 150-bed hospital in the southeastern United States wanted to improve door-to-discharge time. To do so, a subprocess of door-to-discharge time was targeted, door-to-order. After analyzing the process, the team created standard orders for the 10 most common presenting conditions in the ER with preapproval, allowing nurses to submit the orders without the provider first visiting the patient. Following the process change, daily feedback was added to increase utilization of the preapproved orders. Reductions in door-to-order times and door-to-discharge were observed and patient satisfaction remained stable. Implications for future research in this area are discussed.