A Tale of Two Turnarounds at EDS: The Jordan Rules

Author(s):  
James Shein ◽  
Rebecca Frazzano ◽  
Evan Meagher

The case briefly describes the history of Electronic Data Systems (EDS) under Ross Perot and GM before turning to the beginning of a tumultuous decade in the late 1990s. As the turn of the century approached, EDS made critical strategic missteps such as missing opportunities in the Internet space, overlooking the onset of client-server computing, and failing to obtain major Y2K-related projects. The company attempted a turnaround by replacing the CEO with Dick Brown, whose leadership helped streamline the sprawling company. Despite initial successes, Brown's tenure ultimately ended in failure, due largely to his failure to recognize the growing Indian market and his willingness to buy business at the expense of the company's margin. The disastrous multibillion-dollar Navy & Marine Corp Intranet contract typified the type of high-profile transactions that Brown pursued, often boosting EDS's stock price in the short term while eroding its cash flow short term and its profitability over the long term. EDS management went through several stages of the turnaround process: the blinded phase, the inactive phase, and the faulty action phase, until Michael Jordan replaced Brown as CEO and enacted a three-tiered operational, strategic, and financial turnaround.EDS's near-decade of turnaround efforts takes students through every phase of the turnaround process and demonstrates that even initially successful turnaround efforts can become distracted, rendering them ineffective. The case will show both a failed turnaround and a subsequent successful one, while adding an international component with respect to EDS's overlooking an important, growing Indian market.

2020 ◽  
Vol 12 (2) ◽  
pp. 84-99
Author(s):  
Li-Pang Chen

In this paper, we investigate analysis and prediction of the time-dependent data. We focus our attention on four different stocks are selected from Yahoo Finance historical database. To build up models and predict the future stock price, we consider three different machine learning techniques including Long Short-Term Memory (LSTM), Convolutional Neural Networks (CNN) and Support Vector Regression (SVR). By treating close price, open price, daily low, daily high, adjusted close price, and volume of trades as predictors in machine learning methods, it can be shown that the prediction accuracy is improved.


Author(s):  
Mirosław Wasilewski ◽  
Marta Juszczyk

The aim of the study was to investigate the investors’ opinions concerning the usefulness of behavioral factors for investment decisions. The research was carried out in the group of 100 investors, using the services of five brokerages with a long history of operation. The results of the research show that people’s psychological conditions and sentiment in the stock market play an important role in the decision-making process of investors in the capital market. The importance of this factor increased with the length of the investment period. The emotional states of people and their psychological conditions affect the stock price volatility. However, the complexity of the determinants of stock prices makes the market value of stocks can be affected by many factors at the same time and investors seem aware of this.


2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Wenmin Wu ◽  
Chien-Chiang Lee ◽  
Wenwu Xing ◽  
Shan-Ju Ho

AbstractThis research explored the effects of the coronavirus disease (COVID-19) outbreak on stock price movements of China’s tourism industry by using an event study method. The results showed that the crisis negatively impacted tourism sector stocks. Further quantile regression analyses supported the non-linear relationship between the government’s responses and stock returns. The results present that the resurgence of the virus in Beijing did bring about a short-term negative impact on the tourism industry. The empirical results can be used for future researchers to conduct a comparative study of cultural differences concerning government responses to the COVID-19.


Molecules ◽  
2020 ◽  
Vol 26 (1) ◽  
pp. 175
Author(s):  
David M. Stevens ◽  
Rachael M. Crist ◽  
Stephan T. Stern

The chloroquine family of antimalarials has a long history of use, spanning many decades. Despite this extensive clinical experience, novel applications, including use in autoimmune disorders, infectious disease, and cancer, have only recently been identified. While short term use of chloroquine or hydroxychloroquine is safe at traditional therapeutic doses in patients without predisposing conditions, administration of higher doses and for longer durations are associated with toxicity, including retinotoxicity. Additional liabilities of these medications include pharmacokinetic profiles that require extended dosing to achieve therapeutic tissue concentrations. To improve chloroquine therapy, researchers have turned toward nanomedicine reformulation of chloroquine and hydroxychloroquine to increase exposure of target tissues relative to off-target tissues, thereby improving the therapeutic index. This review highlights these reformulation efforts to date, identifying issues in experimental designs leading to ambiguity regarding the nanoformulation improvements and lack of thorough pharmacokinetics and safety evaluation. Gaps in our current understanding of these formulations, as well as recommendations for future formulation efforts, are presented.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Nobunori Takahashi ◽  
Shuji Asai ◽  
Tomonori Kobayakawa ◽  
Atsushi Kaneko ◽  
Tatsuo Watanabe ◽  
...  

AbstractThis study aimed to evaluate the short-term effectiveness and safety profiles of baricitinib and explore factors associated with improved short-term effectiveness in patients with rheumatoid arthritis (RA) in clinical settings. A total of 113 consecutive RA patients who had been treated with baricitinib were registered in a Japanese multicenter registry and followed for at least 24 weeks. Mean age was 66.1 years, mean RA disease duration was 14.0 years, 71.1% had a history of use of biologics or JAK inhibitors (targeted DMARDs), and 48.3% and 40.0% were receiving concomitant methotrexate and oral prednisone, respectively. Mean DAS28-CRP significantly decreased from 3.55 at baseline to 2.32 at 24 weeks. At 24 weeks, 68.2% and 64.1% of patients achieved low disease activity (LDA) and moderate or good response, respectively. Multivariate logistic regression analysis revealed that no previous targeted DMARD use and lower DAS28-CRP score at baseline were independently associated with achievement of LDA at 24 weeks. While the effectiveness of baricitinib was similar regardless of whether patients had a history of only one or multiple targeted DMARDs use, patients with previous use of non-TNF inhibitors or JAK inhibitors showed lower rates of improvement in DAS28-CRP. The overall retention rate for baricitinib was 86.5% at 24 weeks, as estimated by Kaplan–Meier analysis. The discontinuation rate due to adverse events was 6.5% at 24 weeks. Baricitinib significantly improved RA disease activity in clinical practice. Baricitinib was significantly more effective when used as a first-line targeted DMARDs.


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