shareholders as at the closing date ( XM ) on April 4, 2017 and adjusted by the report ( 246-2 Form) as at September 4, 2017 and July 27, 2017 as follows, No Name Shares % 1. News Network Corporation Public
ษัทฯ 13.9% 23.7% 9 2. การเปิดตวัสื่อ CBD LED Network เฟส 1 จ านวน 21 จอ ครอบคลมุ 19 จงัหวดั การเปิดตวัสื่อดิจิทลัครัง้นี ้ ถือเป็นพฒันาการที่ส าคญัของบริษัทฯ จากเดิมที่ให้บริการเพียงสื่อภาพนิ่งให้กลาย
The opinions of the Independent Financial Advisor on the connected transaction (For the purpose of translation only) 0 The opinions of the Independent Financial Advisor on the connected transaction by Thai Wacoal Public Company Limited Presented to Shareholders of Thai Wacoal Public Company Limited Prepared by 8 March 2019 This English report of the Independent Financial Advisor’s Opinions has been prepared solely for the convenience of foreign shareholders of Thai Wacoal Public Company Limited...
PowerPoint Presentation MANAGEMENT DISCUSSION & ANALYSIS (MD&A) Q4/2018 and FY2018 GLOBAL POWER SYNERGY PUBLIC COMPANY LIMITED 0 THE INNOVATIVE POWER FLAGSHIP OF PTT GROUP Management Discussion & Analysis Management Discussion & Analysis (MD&A) Q4/2018 and FY2018 Executive Summary Executive Summary For 2018, Global Power Synergy Public Company Limited (GPSC) (“the company”) earned a net profit of Baht 3,359 million, slightly increased by Baht 184 million or 6% from 2017. The increase was due to...
practices as follows: • The combined power plants and network facilities to ensure Operational Synergy. This will reduce the operational and maintenance costs. In addition, the reliability and efficiency in
work system; 3. being an asset appraisal with a widely international network (international firm). (6) the acquired real estates shall have an aggregate value of not less than 500 million baht, and in
appraisal system are according to international practice; 3. Being an international asset appraisal firm with an extensive international network. 6. Future plan In the case where the Company or the subsidiary
, Jiraporn, Lee, Uyar, and Kilic, 2021; Papangkorn, Chatjuthamard, Jiraporn, and Chueykamhang, 2021). b. Measuring corporate culture using machine learning Word embedding, an artificial neural network-based