Acquisition and Long-term Shareholder Value of Acquiring Firm in Chinese Pharmaceutical and Biotechnological Industry: Empirical Evidence Based on Motive Information

2013 ◽  
Vol 13 (1) ◽  
pp. 22-31
Author(s):  
Ren He ◽  
Tienan Wang
2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Juniarti Juniarti

Purpose Mandatory corporate social responsibility (CSR) aims to protect the long-term benefit of shareholders; therefore, this study aims to seek empirical evidence for the benefit of mandatory CSR from the perspective of shareholders. Design/methodology/approach Consistent with the objective of this study, the long-term shareholder benefit is measured using the sustainability perspective. Companies listed on the Indonesia Stock Exchange that have at least five years of CSR implementation, as its mandate and have retroactive earnings data for minimum six years before the observation year are selected as the study’s sample. Findings The findings support that mandated CSR protects long-term shareholder value; there is a significant association between CSR and sustainable shareholder value. Industry profiles are an essential aspect of the association model. The results are robust through testing the association for various scenarios of time. Research limitations/implications This study uses a single measurement of shareholder value based only on accounting measurement. Further, due to limitations in accessing internal company data, this study relies on annual reporting information to measure CSR implementation. Originality/value This study is the first to provide empirical evidence of the long-term benefit of mandatory CSR from the shareholders' perspective. This study also contributes to the existing literature by evaluating the success of mandatory CSR in developing countries. Those that successfully implemented mandatory CSR can serve as a model for other developing countries interested in creating similar policies to encourage socially responsible companies.


2018 ◽  
Vol 14 (3-4) ◽  
pp. 74-80
Author(s):  
Merugu Venugopal ◽  
Ravindar Reddy M. ◽  
Bhanu Prakash Sharma G.

The article attempts to study in detail the significance of shareholder value creation in the companies in emerging markets and reviews the research articles and studies available in categories such as importance, empirical evidence and drivers of shareholder value creation. The purpose of this article is to give an insight into shareholder value in the first section followed by the empirical evidence and drivers of the shareholder value. For this purpose of review, the article considers various studies made on shareholder value creation published by various recognised and other recognised sources. It is observed that shareholder value creation is the most important objective in this competitive business environment to maintain the long-term relationship with the investors. The empirical evidence attempts to prove that value-based measures outperform the traditional accounting measures. The article tries to investigate the need for finding the superior measure among the shareholder value performance measures and recommends the need for reviewing the traditional performance methods.


Author(s):  
Tai-Yuan Chen ◽  
Kai Wai Hui ◽  
Steven R. Matsunaga ◽  
Yong Zhang

2020 ◽  
Author(s):  
Kyoung Ja Moon ◽  
Chang-Sik Son ◽  
Jong-Ha Lee ◽  
Mina Park

BACKGROUND Long-term care facilities demonstrate low levels of knowledge and care for patients with delirium and are often not properly equipped with an electronic medical record system, thereby hindering systematic approaches to delirium monitoring. OBJECTIVE This study aims to develop a web-based delirium preventive application (app), with an integrated predictive model, for long-term care (LTC) facilities using artificial intelligence (AI). METHODS This methodological study was conducted to develop an app and link it with the Amazon cloud system. The app was developed based on an evidence-based literature review and the validity of the AI prediction model algorithm. Participants comprised 206 persons admitted to LTC facilities. The app was developed in 5 phases. First, through a review of evidence-based literature, risk factors for predicting delirium and non-pharmaceutical contents for preventive intervention were identified. Second, the app, consisting of several screens, was designed; this involved providing basic information, predicting the onset of delirium according to risk factors, assessing delirium, and intervening for prevention. Third, based on the existing data, predictive analysis was performed, and the algorithm developed through this was calculated at the site linked to the web through the Amazon cloud system and sent back to the app. Fourth, a pilot test using the developed app was conducted with 33 patients. Fifth, the app was finalized. RESULTS We developed the Web_DeliPREVENT_4LCF for patients of LTC facilities. This app provides information on delirium, inputs risk factors, predicts and informs the degree of delirium risk, and enables delirium measurement or delirium prevention interventions to be immediately implemented with a verified tool. CONCLUSIONS This web-based application is evidence-based and offers easy mobilization and care to patients with delirium in LTC facilities. Therefore, the use of this app improves the unrecognized of delirium and predicts the degree of delirium risk, thereby helping initiatives for delirium prevention and providing interventions. This would ultimately improve patient safety and quality of care. CLINICALTRIAL none


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