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Research factors affecting Hanoi consumers’ buying decisions of fashion products

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Research findings reveal that there are 9 factors, including: brand and product diversity; product features; price levels and promotional programs; convenient store locations; convenience of the store; product display in the store; awareness, consultancy and serving attitudes of shop assistants; information provision of the store; services and selling modes of the store. Some solutions have been suggested to help fashion companies understand... Đề tài Hoàn thiện công tác quản trị nhân sự tại Công ty TNHH Mộc Khải Tuyên được nghiên cứu nhằm giúp công ty TNHH Mộc Khải Tuyên làm rõ được thực trạng công tác quản trị nhân sự trong công ty như thế nào từ đó đề ra các giải pháp giúp công ty hoàn thiện công tác quản trị nhân sự tốt hơn trong thời gian tới.

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d54f00d7 3217 4dd77c0 0aa82 db50ae 365a0fb4 239ae f77 f7d7ed f0bc26a6 2ab6 e42d34 d2dded 41d0 51c2223 fa2b6a 8cc924 3255 d39e6 6fb746 b5f0adaf8eb3a 758b3 d1d7 1ab9 d318 9d60 75b1 f6e b25 d8a5b72c7e209 5faa1e 4a63 f3941 877e d2050a0 b7a4 686a16 43d7 89f3dcff2068 5a0904 7c7a 1931 286dcf703 c7acfd9 6aa7c4a1 d158 0ac8a 41be 1df9c3 c39 923 b32e7 2694e 1b24 37e59 d79 5e39e9 0c4 1b3a23 b183 f2e2 28b00bc224 674c6d9 991 c48 f706 dd08 f36 cc5a798 f49 9e0a6d e12249 c58a5 c17 d960 d5 f077 153fcd6 2d6 b18b4ddc04 cb3c7 0dbf2ae3 d854 5f8 bdc26837 6190 d717 fc2 7c4 0283 9d2a6 8992ae 5b5a4 642 c180 3090 f602 35f2e8b 2fc9e e07fe91d68a0 c222e d1 c2435 1b27 ceaa8 34020 e3c346 f09d2b82 6f6 3e4d dbd2 b90 c0d4478e 91eb 8652 c3b02bb6e4 b7fc7e43 0e30 b5f5f0 95e8 be869 ec1 81a8c1 c84 8076 78114 9fc52ab34cf9 f0d2 79fd9df650 863fd1dfc3 c8 f9b837d7 daa7a826fb df20 269a b5f421b71c88fb157e bc2527 c70 b8de 9df485 d8a76 b953 6b4ba f362 396 c600 c6a84 0db7d5 c91 bdfe cce9c3f0 e7f19c1 bb8 900 d30df91a dcad7 bc327 f7f5b2a4 3d99 c8a6 9dd6ab12 89b7 d9 c38 f8bc17 bb98 227 c8da1 215 02f02 d758 95ac8594 f14 6891 da1d6 d609 5f5 d0a2a 9b9 c479e d7a68 f0 f9 c0258 b 1e0b72 e2de 5e6db42 f651 c48 951e4e e736 70d1 b6b93874 6bb0835e 4c0 4eae2 dc 0f3e2 83b7 8e61aa9a 39d9 cf7b1a 0f4 7ab00 7acda74fc4d54f2f6 e897e 7b73 c39 fe3c5 f23 9e708 8d0 fe672 e6df1 cc38a 8502a 2b3 f2a0 be9c12e1 b8a97 b1aa1b2e bbf1 5559 d971 07e97 745bbd4 074 f556 37ab1 7a98 f6d5 68ee2 e71b05d3 de32 c18 Editor in chief NGUYEN BACH KHOA Deputy Editor in Chief SECTRETARY OF EDITORIAL OFFICE PHAM MINH DAT Editor in English NGUYEN THI LAN PHUONG Editorial SCIENTIFIC COUNCIL Dinh Van SON - Thuong mai University, Vietnam - President Pham Vu LUAN - Thuong mai University, Vietnam - Vice President Nguyen Bach KHOA - Thuong mai University, Vietnam - Deputy President THE Members Vu Thanh Tu ANH - Fulbright University in Vietnam, USA Le Xuan BA - Centural Institude for Economic Managerment, Vietnam Hervé B BOISMERY - University of La Reuinion, France H Eric BOUTIN - Toulon Var University, France Nguyen Thi DOAN - Vietnam Learning Promotion Association, Vietnam Haasis HANS - Dietrich - Institute of Shipping Economics and Logistics (isl) Bremen - Germany Le Quoc HOI - National Economic University, Vietnam Nguyen Thi Bich LOAN - Thuong mai University, Vietnam Nguyen Hoang LONG - Thuong mai University, Vietnam Nguyen MAI - Vietnam Economist Association, Vietnam Duong Thi Binh MINH - University of Economics HoChiMinh City, Vietnam Hee Cheon MOON - Korean Trade Research Association, South Korea Bui Xuan NHAN - Thuong mai University, Vietnam Luong Xuan QUY - Vietnam Economicst Association, Vietnam Nguyen Van Song - Vietnam National University of Agriculture Nguyen TAM - California State University, USA Truong Ba THANH - University of Danang, Vietnam Dinh Van THANH - Institude for Trade Research, Vietnam Do Minh THANH - Thuong mai University, Vietnam Le Dinh THANG - University of Québec Trois Riviéres, Canada Tran Dinh THIEN - Vietnam Institute of Economics, Vietnam Nguyen Quang THUAN - Vietnam Academy of Social Sciences, Vietnam Le Nhu TUYEN - Grenoble École de Managment, France Washio TOMOHARU - Kwansei Gakuin University, Japan Zhang YUJIE - Tsinghua University, China f1f374da 5941a3 9812 c7a6fb3 282 f2aa6a2a 9df0f3 8b9e 4f5 e5d7 911d0a231 81 a0d857e 97e4fbb597 d7476 8cfd8faa 0ae64a d5f0fc205ff3 96a1e0 c0e3 8b0 f43 bb79 b6c3f2 3b5 df0 f74 9f7 d5bbad43 7460 09ab8 f6ff04 8349 c7d3e64 c69 bcfe7 a06427 f7d2 b31 b305 2a04e3 e61 c8b4 7c4 35b9 333a6 cd6 d029 26ef4c2 f0e 420b4 9f081 c4 f5f9180 7f8 8258 f3 f9a15a3 2ce 28104 e878e 4c1 0512 3c4e f92 48ada c3 f12e2 4da7 f9c211 d1d8 7bc45a6ae 68c0 0364a 2f3 f53 b0ac982 f755 52732 5c4 13 9783c4c7 cba c8 f5896 b7 c194e 7e77a bdf7cc3 c177a2 dcded0 098 b4e05 9c7 bb5 db0b09bb91 cb0a9aa 0b81 87ee cc7 1c1 16ff8a1 b3151a 9c3 e5923 d3fb1e f51a0 d b1b5 c751 2398ff1a 0e929 5f7 2e7b8d74 0c7 f78 c48 d2 f70b5dc7002a 1a0735a 3b 8dd4 d7b8 451b6c3a 83c183 c3763 494 c5d861cbfd0eac441 f3cbba f5502 7627 de dbb3 7b2 c5ae5 d9eb 615 c5b8 3a17dcfd992 50e6 c4a86 f0 f6d1b03 88c128e d6023 df93 b711 51b6 4cfb1 065 c76cb5 f5f469a3 4fc6c5 2d4a9 2f2 35a8ff93 e6f066ad 3ddc7c9 38a02 f4fb c8f724b3c8 7b19 2ac8 3c5 cda8 0c4 6cd6998 c82 5a7f3ce4 00 d54f00d7 3217 4dd77c0 0aa82 db50ae 365a0fb4 239ae f77 f7d7ed f0bc26a6 2ab6 e42d34 d2dded 41d0 51c2223 fa2b6a 8cc924 3255 d39e6 6fb746 b5f0adaf8eb3a 758b3 d1d7 1ab9 d318 9d60 75b1 f6e b25 d8a5b72c7e209 5faa1e 4a63 f3941 877e d2050a0 b7a4 686a16 43d7 89f3dcff2068 5a0904 7c7a 1931 286dcf703 c7acfd9 6aa7c4a1 d158 0ac8a 41be 1df9c3 c39 923 b32e7 2694e 1b24 37e59 d79 5e39e9 0c4 1b3a23 b183 f2e2 28b00bc224 674c6d9 991 c48 f706 dd08 f36 cc5a798 f49 9e0a6d e12249 c58a5 c17 d960 d5 f077 153fcd6 2d6 b18b4ddc04 cb3c7 0dbf2ae3 d854 5f8 bdc26837 6190 d717 fc2 7c4 0283 9d2a6 8992ae 5b5a4 642 c180 3090 f602 35f2e8b 2fc9e e07fe91d68a0 c222e d1 c2435 1b27 ceaa8 34020 e3c346 f09d2b82 6f6 3e4d dbd2 b90 c0d4478e 91eb 8652 c3b02bb6e4 b7fc7e43 0e30 b5f5f0 95e8 be869 ec1 81a8c1 c84 8076 78114 9fc52ab34cf9 f0d2 79fd9df650 863fd1dfc3 c8 f9b837d7 daa7a826fb df20 269a b5f421b71c88fb157e bc2527 c70 b8de 9df485 d8a76 b953 6b4ba f362 396 c600 c6a84 0db7d5 c91 bdfe cce9c3f0 e7f19c1 bb8 900 d30df91a dcad7 bc327 f7f5b2a4 3d99 c8a6 9dd6ab12 89b7 d9 c38 f8bc17 bb98 227 c8da1 215 02f02 d758 95ac8594 f14 6891 da1d6 d609 5f5 d0a2a 9b9 c479e d7a68 f0 f9 c0258 b 1e0b72 e2de 5e6db42 f651 c48 951e4e e736 70d1 b6b93874 6bb0835e 4c0 4eae2 dc 0f3e2 83b7 8e61aa9a 39d9 cf7b1a 0f4 7ab00 7acda74fc4d54f2f6 e897e 7b73 c39 fe3c5 f23 9e708 8d0 fe672 e6df1 cc38a 8502a 2b3 f2a0 be9c12e1 b8a97 b1aa1b2e bbf1 5559 d971 07e97 745bbd4 074 f556 37ab1 7a98 f6d5 68ee2 e71b05d3 de32 c18 Journal of Trade Science Volume Number April 2017 CONTENTS Nguyen Thi Phuong LIEN - Solutions to Develop Government Bond Market in Vietnam Nguyen Tran HUNG - Attract Online Customers to Job Websites in Vietnam Page 13 Nguyen Thi Kim OANH - Research Factors Affecting Hanoi Consumers Buying Decisions of Fashion Products 24 Chu Viet CUONG - Trade development in the mountainous region of northern Vietnam: Lessons from Chongqing and Yunnan, China 33 Dang Thi Minh NGUYET - Factors Affecting Productive Efficiency of Vietnam Joint Stock Commercial Bank for Industry and Trade 41 Ying-Kai LIAO and Vu Minh QUAN and Alfiyatul Qomariyah - An Integrative Approach to Investigate Antecedents, Moderators and Consequences of Brand Equity 53 f1f374da 5941a3 9812 c7a6fb3 282 f2aa6a2a 9df0f3 8b9e 4f5 e5d7 911d0a231 81 a0d857e 97e4fbb597 d7476 8cfd8faa 0ae64a d5f0fc205ff3 96a1e0 c0e3 8b0 f43 bb79 b6c3f2 3b5 df0 f74 9f7 d5bbad43 7460 09ab8 f6ff04 8349 c7d3e64 c69 bcfe7 a06427 f7d2 b31 b305 2a04e3 e61 c8b4 7c4 35b9 333a6 cd6 d029 26ef4c2 f0e 420b4 9f081 c4 f5f9180 7f8 8258 f3 f9a15a3 2ce 28104 e878e 4c1 0512 3c4e f92 48ada c3 f12e2 4da7 f9c211 d1d8 7bc45a6ae 68c0 0364a 2f3 f53 b0ac982 f755 52732 5c4 13 9783c4c7 cba c8 f5896 b7 c194e 7e77a bdf7cc3 c177a2 dcded0 098 b4e05 9c7 bb5 db0b09bb91 cb0a9aa 0b81 87ee cc7 1c1 16ff8a1 b3151a 9c3 e5923 d3fb1e f51a0 d b1b5 c751 2398ff1a 0e929 5f7 2e7b8d74 0c7 f78 c48 d2 f70b5dc7002a 1a0735a 3b 8dd4 d7b8 451b6c3a 83c183 c3763 494 c5d861cbfd0eac441 f3cbba f5502 7627 de dbb3 7b2 c5ae5 d9eb 615 c5b8 3a17dcfd992 50e6 c4a86 f0 f6d1b03 88c128e d6023 df93 b711 51b6 4cfb1 065 c76cb5 f5f469a3 4fc6c5 2d4a9 2f2 35a8ff93 e6f066ad 3ddc7c9 38a02 f4fb c8f724b3c8 7b19 2ac8 3c5 cda8 0c4 6cd6998 c82 5a7f3ce4 00 d54f00d7 3217 4dd77c0 0aa82 db50ae 365a0fb4 239ae f77 f7d7ed f0bc26a6 2ab6 e42d34 d2dded 41d0 51c2223 fa2b6a 8cc924 3255 d39e6 6fb746 b5f0adaf8eb3a 758b3 d1d7 1ab9 d318 9d60 75b1 f6e b25 d8a5b72c7e209 5faa1e 4a63 f3941 877e d2050a0 b7a4 686a16 43d7 89f3dcff2068 5a0904 7c7a 1931 286dcf703 c7acfd9 6aa7c4a1 d158 0ac8a 41be 1df9c3 c39 923 b32e7 2694e 1b24 37e59 d79 5e39e9 0c4 1b3a23 b183 f2e2 28b00bc224 674c6d9 991 c48 f706 dd08 f36 cc5a798 f49 9e0a6d e12249 c58a5 c17 d960 d5 f077 153fcd6 2d6 b18b4ddc04 cb3c7 0dbf2ae3 d854 5f8 bdc26837 6190 d717 fc2 7c4 0283 9d2a6 8992ae 5b5a4 642 c180 3090 f602 35f2e8b 2fc9e e07fe91d68a0 c222e d1 c2435 1b27 ceaa8 34020 e3c346 f09d2b82 6f6 3e4d dbd2 b90 c0d4478e 91eb 8652 c3b02bb6e4 b7fc7e43 0e30 b5f5f0 95e8 be869 ec1 81a8c1 c84 8076 78114 9fc52ab34cf9 f0d2 79fd9df650 863fd1dfc3 c8 f9b837d7 daa7a826fb df20 269a b5f421b71c88fb157e bc2527 c70 b8de 9df485 d8a76 b953 6b4ba f362 396 c600 c6a84 0db7d5 c91 bdfe cce9c3f0 e7f19c1 bb8 900 d30df91a dcad7 bc327 f7f5b2a4 3d99 c8a6 9dd6ab12 89b7 d9 c38 f8bc17 bb98 227 c8da1 215 02f02 d758 95ac8594 f14 6891 da1d6 d609 5f5 d0a2a 9b9 c479e d7a68 f0 f9 c0258 b 1e0b72 e2de 5e6db42 f651 c48 951e4e e736 70d1 b6b93874 6bb0835e 4c0 4eae2 dc 0f3e2 83b7 8e61aa9a 39d9 cf7b1a 0f4 7ab00 7acda74fc4d54f2f6 e897e 7b73 c39 fe3c5 f23 9e708 8d0 fe672 e6df1 cc38a 8502a 2b3 f2a0 be9c12e1 b8a97 b1aa1b2e bbf1 5559 d971 07e97 745bbd4 074 f556 37ab1 7a98 f6d5 68ee2 e71b05d3 de32 c18 Journal of Trade Science 5:1 (2017) 24 - 32 ’S JTS Nguyen Thi Kim Oanh Thuongmai University Email: oanhntk1987@gmail.com Received: 04th January 2017 Revised: 13th February 2017 Approved: 20th February 2017 ietnam's apparel business has developed strongly in recent time Together with this development comes fiercer competition among domestic and foreign fashion companies Therefore, enterprises need to make further efforts in their business activities, especially in marketing, of which the key is to understand customer behavior so as to work out effective marketing strategies and raise their competitiveness in the market In that sense, this article aims to identify and evaluate the impacts of factors affecting buying decisions of fashion products by Hanoi consumers Research findings reveal that there are factors, including: brand and product diversity; product features; price levels and promotional programs; convenient store locations; convenience of the store; product display in the store; awareness, consultancy and serving attitudes of shop assistants; information provision of the store; services and selling modes of the store Some solutions have been suggested to help fashion companies understand customer needs and work out appropriate business strategies and policies to increase fashion product competitiveness so as to further develop the local fashion market Keywords: factors, buying decisions, fashion products, consumers Introduction Globalization is taking place at an increasingly high pace and impacts on many aspects of life; its impacts on production and trading operations are especially strong as it creates both opportunities and challenges to enterprises Apparel sector in Vietnam cannot get out of these impacts Besides, together with the development of the society, demand for fashionable and beautiful dressing has become an integral part in everyone's life Fashion trends keep changing with the changes in society and vary greatly depending on customer ages or characteristics At the same time, the 24 JOURNAL OF TRADE SCIENCE competition in the fashion industry becomes fiercer with the participation of local and foreign companies To gain good performance in a fast-changing business environment, enterprises need to make further attempts in business operations, especially marketing activities To reach these goals, enterprises need to understand customer behavior so as to work out effective marketing strategies and raise product competitiveness in the market to satisfy customer needs better than competitors In that sense, marketing activities to products should be planned and implemented by enterprises, so that they can fully meet customer requirements in eval- f1f374da 5941a3 9812 c7a6fb3 282 f2aa6a2a 9df0f3 8b9e 4f5 e5d7 911d0a231 81 a0d857e 97e4fbb597 d7476 8cfd8faa 0ae64a d5f0fc205ff3 96a1e0 c0e3 8b0 f43 bb79 b6c3f2 3b5 df0 f74 9f7 d5bbad43 7460 09ab8 f6ff04 8349 c7d3e64 c69 bcfe7 a06427 f7d2 b31 b305 2a04e3 e61 c8b4 7c4 35b9 333a6 cd6 d029 26ef4c2 f0e 420b4 9f081 c4 f5f9180 7f8 8258 f3 f9a15a3 2ce 28104 e878e 4c1 0512 3c4e f92 48ada c3 f12e2 4da7 f9c211 d1d8 7bc45a6ae 68c0 0364a 2f3 f53 b0ac982 f755 52732 5c4 13 9783c4c7 cba c8 f5896 b7 c194e 7e77a bdf7cc3 c177a2 dcded0 098 b4e05 9c7 bb5 db0b09bb91 cb0a9aa 0b81 87ee cc7 1c1 16ff8a1 b3151a 9c3 e5923 d3fb1e f51a0 d b1b5 c751 2398ff1a 0e929 5f7 2e7b8d74 0c7 f78 c48 d2 f70b5dc7002a 1a0735a 3b 8dd4 d7b8 451b6c3a 83c183 c3763 494 c5d861cbfd0eac441 f3cbba f5502 7627 de dbb3 7b2 c5ae5 d9eb 615 c5b8 3a17dcfd992 50e6 c4a86 f0 f6d1b03 88c128e d6023 df93 b711 51b6 4cfb1 065 c76cb5 f5f469a3 4fc6c5 2d4a9 2f2 35a8ff93 e6f066ad 3ddc7c9 38a02 f4fb c8f724b3c8 7b19 2ac8 3c5 cda8 0c4 6cd6998 c82 5a7f3ce4 00 d54f00d7 3217 4dd77c0 0aa82 db50ae 365a0fb4 239ae f77 f7d7ed f0bc26a6 2ab6 e42d34 d2dded 41d0 51c2223 fa2b6a 8cc924 3255 d39e6 6fb746 b5f0adaf8eb3a 758b3 d1d7 1ab9 d318 9d60 75b1 f6e b25 d8a5b72c7e209 5faa1e 4a63 f3941 877e d2050a0 b7a4 686a16 43d7 89f3dcff2068 5a0904 7c7a 1931 286dcf703 c7acfd9 6aa7c4a1 d158 0ac8a 41be 1df9c3 c39 923 b32e7 2694e 1b24 37e59 d79 5e39e9 0c4 1b3a23 b183 f2e2 28b00bc224 674c6d9 991 c48 f706 dd08 f36 cc5a798 f49 9e0a6d e12249 c58a5 c17 d960 d5 f077 153fcd6 2d6 b18b4ddc04 cb3c7 0dbf2ae3 d854 5f8 bdc26837 6190 d717 fc2 7c4 0283 9d2a6 8992ae 5b5a4 642 c180 3090 f602 35f2e8b 2fc9e e07fe91d68a0 c222e d1 c2435 1b27 ceaa8 34020 e3c346 f09d2b82 6f6 3e4d dbd2 b90 c0d4478e 91eb 8652 c3b02bb6e4 b7fc7e43 0e30 b5f5f0 95e8 be869 ec1 81a8c1 c84 8076 78114 9fc52ab34cf9 f0d2 79fd9df650 863fd1dfc3 c8 f9b837d7 daa7a826fb df20 269a b5f421b71c88fb157e bc2527 c70 b8de 9df485 d8a76 b953 6b4ba f362 396 c600 c6a84 0db7d5 c91 bdfe cce9c3f0 e7f19c1 bb8 900 d30df91a dcad7 bc327 f7f5b2a4 3d99 c8a6 9dd6ab12 89b7 d9 c38 f8bc17 bb98 227 c8da1 215 02f02 d758 95ac8594 f14 6891 da1d6 d609 5f5 d0a2a 9b9 c479e d7a68 f0 f9 c0258 b 1e0b72 e2de 5e6db42 f651 c48 951e4e e736 70d1 b6b93874 6bb0835e 4c0 4eae2 dc 0f3e2 83b7 8e61aa9a 39d9 cf7b1a 0f4 7ab00 7acda74fc4d54f2f6 e897e 7b73 c39 fe3c5 f23 9e708 8d0 fe672 e6df1 cc38a 8502a 2b3 f2a0 be9c12e1 b8a97 b1aa1b2e bbf1 5559 d971 07e97 745bbd4 074 f556 37ab1 7a98 f6d5 68ee2 e71b05d3 de32 c18 journal of Trade Science ’S JTS uating and buying products Therefore, researching the impacts of factors affecting buying decisions of fashion products becomes necessary as the research findings will be a foundation for enterprises to build up their marketing programs to satisfy customer demand This article aims to identify and evaluate the impacts of factors affecting consumers' buying decisions of fashion products Based on these findings, domestic enterprises can understand market demand, factors affecting the buying decisions of consumers, from which work out solutions to raise the competitiveness of local fashion products Literature review Theoretical and practical issues in customer behavior and fashion products have caught the attention of numerous local and international researchers, state entations for marketing mix of local fashion enterprises so that they can improve their competitiveness and differentiation to be more attractive to customers Theories and research hypotheses The article analyses the impacts of factors affecting the choice of fashion products on buying decisions of Hanoi consumers The study is based on theory of customer behavior by Philip Kotler, specifically the buying decision making process model The model consists of steps of demand recognition, information search, option evaluation, buying decision and afterpurchase behavior, of which this content is at step option evaluation At this step, customers should identify factors affecting their choice and buying considerations, they also should identify the importance of each factor to their decision to buy products Figure 1: Model of Buying Behavior Attitude parameters Quality Functions Durability Price After-sales services Total Coefficient of importance Point (1-10) Level of importance = (Coefficient of importance x point) Source: Marketing Management - Philip Kotler (2014) administrators and managers Their studies have shed lights to theories on customer behavior as well as the reality of consumer buying behavior in different specific products such as food, safety food, banking services, etc However, there has not been direct research on factors affecting buying decisions of fashion products by Vietnamese consumers Motivated by that situation, this study aims to analyze and evaluate the impacts of factors affecting the buying decisions of fashion products by Hanoi consumers The research findings can provide further ori- When considering buying a product, depending on their buying demand, purposes and motivations, consumers may look into the features and qualities of the products and marketing activities that enterprises provide for these products to make their choice Very often, the features of the products and marketing activities of the enterprise which meet customer buying demand, purposes and motivations will be used as a background to make buying decisions These factors will be used to evaluate products and marketing activities of different enterprises with similar market JOURNAL OF TRADE SCIENCE 25 f1f374da 5941a3 9812 c7a6fb3 282 f2aa6a2a 9df0f3 8b9e 4f5 e5d7 911d0a231 81 a0d857e 97e4fbb597 d7476 8cfd8faa 0ae64a d5f0fc205ff3 96a1e0 c0e3 8b0 f43 bb79 b6c3f2 3b5 df0 f74 9f7 d5bbad43 7460 09ab8 f6ff04 8349 c7d3e64 c69 bcfe7 a06427 f7d2 b31 b305 2a04e3 e61 c8b4 7c4 35b9 333a6 cd6 d029 26ef4c2 f0e 420b4 9f081 c4 f5f9180 7f8 8258 f3 f9a15a3 2ce 28104 e878e 4c1 0512 3c4e f92 48ada c3 f12e2 4da7 f9c211 d1d8 7bc45a6ae 68c0 0364a 2f3 f53 b0ac982 f755 52732 5c4 13 9783c4c7 cba c8 f5896 b7 c194e 7e77a bdf7cc3 c177a2 dcded0 098 b4e05 9c7 bb5 db0b09bb91 cb0a9aa 0b81 87ee cc7 1c1 16ff8a1 b3151a 9c3 e5923 d3fb1e f51a0 d b1b5 c751 2398ff1a 0e929 5f7 2e7b8d74 0c7 f78 c48 d2 f70b5dc7002a 1a0735a 3b 8dd4 d7b8 451b6c3a 83c183 c3763 494 c5d861cbfd0eac441 f3cbba f5502 7627 de dbb3 7b2 c5ae5 d9eb 615 c5b8 3a17dcfd992 50e6 c4a86 f0 f6d1b03 88c128e d6023 df93 b711 51b6 4cfb1 065 c76cb5 f5f469a3 4fc6c5 2d4a9 2f2 35a8ff93 e6f066ad 3ddc7c9 38a02 f4fb c8f724b3c8 7b19 2ac8 3c5 cda8 0c4 6cd6998 c82 5a7f3ce4 00 d54f00d7 3217 4dd77c0 0aa82 db50ae 365a0fb4 239ae f77 f7d7ed f0bc26a6 2ab6 e42d34 d2dded 41d0 51c2223 fa2b6a 8cc924 3255 d39e6 6fb746 b5f0adaf8eb3a 758b3 d1d7 1ab9 d318 9d60 75b1 f6e b25 d8a5b72c7e209 5faa1e 4a63 f3941 877e d2050a0 b7a4 686a16 43d7 89f3dcff2068 5a0904 7c7a 1931 286dcf703 c7acfd9 6aa7c4a1 d158 0ac8a 41be 1df9c3 c39 923 b32e7 2694e 1b24 37e59 d79 5e39e9 0c4 1b3a23 b183 f2e2 28b00bc224 674c6d9 991 c48 f706 dd08 f36 cc5a798 f49 9e0a6d e12249 c58a5 c17 d960 d5 f077 153fcd6 2d6 b18b4ddc04 cb3c7 0dbf2ae3 d854 5f8 bdc26837 6190 d717 fc2 7c4 0283 9d2a6 8992ae 5b5a4 642 c180 3090 f602 35f2e8b 2fc9e e07fe91d68a0 c222e d1 c2435 1b27 ceaa8 34020 e3c346 f09d2b82 6f6 3e4d dbd2 b90 c0d4478e 91eb 8652 c3b02bb6e4 b7fc7e43 0e30 b5f5f0 95e8 be869 ec1 81a8c1 c84 8076 78114 9fc52ab34cf9 f0d2 79fd9df650 863fd1dfc3 c8 f9b837d7 daa7a826fb df20 269a b5f421b71c88fb157e bc2527 c70 b8de 9df485 d8a76 b953 6b4ba f362 396 c600 c6a84 0db7d5 c91 bdfe cce9c3f0 e7f19c1 bb8 900 d30df91a dcad7 bc327 f7f5b2a4 3d99 c8a6 9dd6ab12 89b7 d9 c38 f8bc17 bb98 227 c8da1 215 02f02 d758 95ac8594 f14 6891 da1d6 d609 5f5 d0a2a 9b9 c479e d7a68 f0 f9 c0258 b 1e0b72 e2de 5e6db42 f651 c48 951e4e e736 70d1 b6b93874 6bb0835e 4c0 4eae2 dc 0f3e2 83b7 8e61aa9a 39d9 cf7b1a 0f4 7ab00 7acda74fc4d54f2f6 e897e 7b73 c39 fe3c5 f23 9e708 8d0 fe672 e6df1 cc38a 8502a 2b3 f2a0 be9c12e1 b8a97 b1aa1b2e bbf1 5559 d971 07e97 745bbd4 074 f556 37ab1 7a98 f6d5 68ee2 e71b05d3 de32 c18 Journal of Trade Science offers With ultimate users, they often pay most attention to features which can bring them the benefits they are seeking and meet their using motivations With other buyers, different conditions, circumstances and motivations may lead to different factors affecting their product choice and the importance of these factors also vary Sometimes, the important features related to the functions of fashion products may not be the most important features to every customer Some features may become more outstanding than others because marketing activities of the enterprises recommend them to potential customers as foundations for their choice via their communication activities By contrast, some features are not distinctive as customers cannot remember these features but when reminded, they realize that these features are factors So marketers need to care about features of products and marketing programs which customers may evaluate as important features when they are considering buying products This research also bases on previous studies and consults experts in fashion industry to perfect the research measurement scales Based on previous studies and qualitative research methods, this study identifies independent variables as follows: brand and product diversity; product features; price levels and promotional programs; convenient store locations; convenience of the store; product display in the store; awareness, consultancy and serving attitudes of shop assistants; information provision of the store; services and selling modes of the store Dependent variable is buying decision of fashion products by Hanoi consumers Research model was built up to investigate the impacts of independent variables (factors affecting choice, consideration and buying decisions of fashion products of consumers) on dependent variable (buying decisions of customers) The relationships and directions of impacts between variables are generalized in Figure From the model, research hypotheses are made up, including: Hypothesis H1: Brand and product diversity have impacts on customer buying decisions 26 JOURNAL OF TRADE SCIENCE ’S JTS Hypothesis H2: Product features have impacts on customer buying decisions Hypothesis H3: Price levels and promotional programs have impacts on customer buying decisions Hypothesis H4: Convenient store location has impacts on customer buying decisions Hypothesis H5: Convenience of the store has impacts on customer buying decisions Hypothesis H6: Product display in the store has impacts on customer buying decisions Hypothesis H7: Awareness, consultancy and serving attitudes of shop assistants have impacts on customer buying decisions Hypothesis H8: Information provision of the store has impacts on customer buying decisions Hypothesis H9: Services and selling modes of the store have impacts on customer buying decisions Data collection method To investigate the impacts of factors affecting the choice of fashion products of Hanoi consumers, in July 2014 the author conducted a survey on 300 consumers in the age group of 18-44 who lived in Hanoi and regularly bought fashion products, using convenient sampling method Samples included 300 consumers chosen conveniently, they work in different organizations, aged from 18 to 44, have mid-income and different kinds of jobs These samples were interviewed at home, firstly the researcher contacted them via telephone to arrange appointments, then she had face-toface interviews with the samples Survey data were collected via two above-mentioned methods, eventually 265 questionnaires were gathered back Upon removing invalid questionnaires from the sample, 210 valid ones were coded, inserted and analyzed via SPSS Collected data were analyzed via descriptive statistics, Cronbach Alpha reliability analysis, exploratory factor analysis (EFA) and testing methods to determine the correlations between independent and dependent variables of the model Based on the results of linear regression analysis, the factors affecting the choice of fashion products were evaluated, from which solutions to marketing activities of fashion companies were suggested f1f374da 5941a3 9812 c7a6fb3 282 f2aa6a2a 9df0f3 8b9e 4f5 e5d7 911d0a231 81 a0d857e 97e4fbb597 d7476 8cfd8faa 0ae64a d5f0fc205ff3 96a1e0 c0e3 8b0 f43 bb79 b6c3f2 3b5 df0 f74 9f7 d5bbad43 7460 09ab8 f6ff04 8349 c7d3e64 c69 bcfe7 a06427 f7d2 b31 b305 2a04e3 e61 c8b4 7c4 35b9 333a6 cd6 d029 26ef4c2 f0e 420b4 9f081 c4 f5f9180 7f8 8258 f3 f9a15a3 2ce 28104 e878e 4c1 0512 3c4e f92 48ada c3 f12e2 4da7 f9c211 d1d8 7bc45a6ae 68c0 0364a 2f3 f53 b0ac982 f755 52732 5c4 13 9783c4c7 cba c8 f5896 b7 c194e 7e77a bdf7cc3 c177a2 dcded0 098 b4e05 9c7 bb5 db0b09bb91 cb0a9aa 0b81 87ee cc7 1c1 16ff8a1 b3151a 9c3 e5923 d3fb1e f51a0 d b1b5 c751 2398ff1a 0e929 5f7 2e7b8d74 0c7 f78 c48 d2 f70b5dc7002a 1a0735a 3b 8dd4 d7b8 451b6c3a 83c183 c3763 494 c5d861cbfd0eac441 f3cbba f5502 7627 de dbb3 7b2 c5ae5 d9eb 615 c5b8 3a17dcfd992 50e6 c4a86 f0 f6d1b03 88c128e d6023 df93 b711 51b6 4cfb1 065 c76cb5 f5f469a3 4fc6c5 2d4a9 2f2 35a8ff93 e6f066ad 3ddc7c9 38a02 f4fb c8f724b3c8 7b19 2ac8 3c5 cda8 0c4 6cd6998 c82 5a7f3ce4 00 d54f00d7 3217 4dd77c0 0aa82 db50ae 365a0fb4 239ae f77 f7d7ed f0bc26a6 2ab6 e42d34 d2dded 41d0 51c2223 fa2b6a 8cc924 3255 d39e6 6fb746 b5f0adaf8eb3a 758b3 d1d7 1ab9 d318 9d60 75b1 f6e b25 d8a5b72c7e209 5faa1e 4a63 f3941 877e d2050a0 b7a4 686a16 43d7 89f3dcff2068 5a0904 7c7a 1931 286dcf703 c7acfd9 6aa7c4a1 d158 0ac8a 41be 1df9c3 c39 923 b32e7 2694e 1b24 37e59 d79 5e39e9 0c4 1b3a23 b183 f2e2 28b00bc224 674c6d9 991 c48 f706 dd08 f36 cc5a798 f49 9e0a6d e12249 c58a5 c17 d960 d5 f077 153fcd6 2d6 b18b4ddc04 cb3c7 0dbf2ae3 d854 5f8 bdc26837 6190 d717 fc2 7c4 0283 9d2a6 8992ae 5b5a4 642 c180 3090 f602 35f2e8b 2fc9e e07fe91d68a0 c222e d1 c2435 1b27 ceaa8 34020 e3c346 f09d2b82 6f6 3e4d dbd2 b90 c0d4478e 91eb 8652 c3b02bb6e4 b7fc7e43 0e30 b5f5f0 95e8 be869 ec1 81a8c1 c84 8076 78114 9fc52ab34cf9 f0d2 79fd9df650 863fd1dfc3 c8 f9b837d7 daa7a826fb df20 269a b5f421b71c88fb157e bc2527 c70 b8de 9df485 d8a76 b953 6b4ba f362 396 c600 c6a84 0db7d5 c91 bdfe cce9c3f0 e7f19c1 bb8 900 d30df91a dcad7 bc327 f7f5b2a4 3d99 c8a6 9dd6ab12 89b7 d9 c38 f8bc17 bb98 227 c8da1 215 02f02 d758 95ac8594 f14 6891 da1d6 d609 5f5 d0a2a 9b9 c479e d7a68 f0 f9 c0258 b 1e0b72 e2de 5e6db42 f651 c48 951e4e e736 70d1 b6b93874 6bb0835e 4c0 4eae2 dc 0f3e2 83b7 8e61aa9a 39d9 cf7b1a 0f4 7ab00 7acda74fc4d54f2f6 e897e 7b73 c39 fe3c5 f23 9e708 8d0 fe672 e6df1 cc38a 8502a 2b3 f2a0 be9c12e1 b8a97 b1aa1b2e bbf1 5559 d971 07e97 745bbd4 074 f556 37ab1 7a98 f6d5 68ee2 e71b05d3 de32 c18 journal of Trade Science ’S JTS Brand and product diversity H1+ Product features H2+ Price levels and promotional Convenient store location H3+ H6+ H7+ Customer buying decisions H8+ H4+ Product display in the store Awareness, consultancy and serving attitudes of shop assistants Information provision of store H5+ Convenience of the store H9+ Services and selling modes of store Source: Result of data analysis Figure 2: Research model on impacts of factors of choice on customer buying decisions of fashion products Research findings 5.1 Cronbach Alpha results Cronbach Alpha coefficients were analyzed to determine the reliability of each observation variable constructing independent and dependent variables before the relationships between each variable were identified The higher the coefficients, the closer the correlations between variables (Tr?ng & Ng?c, 2008) and they must range between 0.6 and 1.0 to guarantee that the observation variables constructing the surveyed variables have significant correlations Variables with correlation coefficient smaller than 0.3 are considered garbage variables and eliminated from measurement scale After invalid variables were eliminated, results of Cronbach Alpha are presented in Table 5.2 EFA results The results of factor analysis of independent variables are presented in Table and Table KMO = 0.800 > 0.5 indicates that factor analysis is appropriate with research data with significance level of 0.000 in Bartlett's test (Table 3) Therefore, it is possible to reject the homogeneous factor theory, in other words, these factors have correlations with each other and satisfy the conditions of factor analysis The table indicates that the extraction coefficient of each constructing factor >1.0 meets requirement, so it is possible to conclude that constructing factors affecting the choice of fashion products are established The accumulated value of the average variance extracted = 83.130 >50%, which means 83.130% of data variation can be explained by the factors and all variables have factor loading >0.5 This illustrates that variables and factors have close relationships and can ensure the practicality of the research model JOURNAL OF TRADE SCIENCE 27 f1f374da 5941a3 9812 c7a6fb3 282 f2aa6a2a 9df0f3 8b9e 4f5 e5d7 911d0a231 81 a0d857e 97e4fbb597 d7476 8cfd8faa 0ae64a d5f0fc205ff3 96a1e0 c0e3 8b0 f43 bb79 b6c3f2 3b5 df0 f74 9f7 d5bbad43 7460 09ab8 f6ff04 8349 c7d3e64 c69 bcfe7 a06427 f7d2 b31 b305 2a04e3 e61 c8b4 7c4 35b9 333a6 cd6 d029 26ef4c2 f0e 420b4 9f081 c4 f5f9180 7f8 8258 f3 f9a15a3 2ce 28104 e878e 4c1 0512 3c4e f92 48ada c3 f12e2 4da7 f9c211 d1d8 7bc45a6ae 68c0 0364a 2f3 f53 b0ac982 f755 52732 5c4 13 9783c4c7 cba c8 f5896 b7 c194e 7e77a bdf7cc3 c177a2 dcded0 098 b4e05 9c7 bb5 db0b09bb91 cb0a9aa 0b81 87ee cc7 1c1 16ff8a1 b3151a 9c3 e5923 d3fb1e f51a0 d b1b5 c751 2398ff1a 0e929 5f7 2e7b8d74 0c7 f78 c48 d2 f70b5dc7002a 1a0735a 3b 8dd4 d7b8 451b6c3a 83c183 c3763 494 c5d861cbfd0eac441 f3cbba f5502 7627 de dbb3 7b2 c5ae5 d9eb 615 c5b8 3a17dcfd992 50e6 c4a86 f0 f6d1b03 88c128e d6023 df93 b711 51b6 4cfb1 065 c76cb5 f5f469a3 4fc6c5 2d4a9 2f2 35a8ff93 e6f066ad 3ddc7c9 38a02 f4fb c8f724b3c8 7b19 2ac8 3c5 cda8 0c4 6cd6998 c82 5a7f3ce4 00 d54f00d7 3217 4dd77c0 0aa82 db50ae 365a0fb4 239ae f77 f7d7ed f0bc26a6 2ab6 e42d34 d2dded 41d0 51c2223 fa2b6a 8cc924 3255 d39e6 6fb746 b5f0adaf8eb3a 758b3 d1d7 1ab9 d318 9d60 75b1 f6e b25 d8a5b72c7e209 5faa1e 4a63 f3941 877e d2050a0 b7a4 686a16 43d7 89f3dcff2068 5a0904 7c7a 1931 286dcf703 c7acfd9 6aa7c4a1 d158 0ac8a 41be 1df9c3 c39 923 b32e7 2694e 1b24 37e59 d79 5e39e9 0c4 1b3a23 b183 f2e2 28b00bc224 674c6d9 991 c48 f706 dd08 f36 cc5a798 f49 9e0a6d e12249 c58a5 c17 d960 d5 f077 153fcd6 2d6 b18b4ddc04 cb3c7 0dbf2ae3 d854 5f8 bdc26837 6190 d717 fc2 7c4 0283 9d2a6 8992ae 5b5a4 642 c180 3090 f602 35f2e8b 2fc9e e07fe91d68a0 c222e d1 c2435 1b27 ceaa8 34020 e3c346 f09d2b82 6f6 3e4d dbd2 b90 c0d4478e 91eb 8652 c3b02bb6e4 b7fc7e43 0e30 b5f5f0 95e8 be869 ec1 81a8c1 c84 8076 78114 9fc52ab34cf9 f0d2 79fd9df650 863fd1dfc3 c8 f9b837d7 daa7a826fb df20 269a b5f421b71c88fb157e bc2527 c70 b8de 9df485 d8a76 b953 6b4ba f362 396 c600 c6a84 0db7d5 c91 bdfe cce9c3f0 e7f19c1 bb8 900 d30df91a dcad7 bc327 f7f5b2a4 3d99 c8a6 9dd6ab12 89b7 d9 c38 f8bc17 bb98 227 c8da1 215 02f02 d758 95ac8594 f14 6891 da1d6 d609 5f5 d0a2a 9b9 c479e d7a68 f0 f9 c0258 b 1e0b72 e2de 5e6db42 f651 c48 951e4e e736 70d1 b6b93874 6bb0835e 4c0 4eae2 dc 0f3e2 83b7 8e61aa9a 39d9 cf7b1a 0f4 7ab00 7acda74fc4d54f2f6 e897e 7b73 c39 fe3c5 f23 9e708 8d0 fe672 e6df1 cc38a 8502a 2b3 f2a0 be9c12e1 b8a97 b1aa1b2e bbf1 5559 d971 07e97 745bbd4 074 f556 37ab1 7a98 f6d5 68ee2 e71b05d3 de32 c18 Journal of Trade Science ’S JTS Table 1: Results of Cronbach Alpha analysis Variables Independent variables Brand and product diversity Product features Price levels and promotional programs Convenient store location Convenience inside the store Product display in the store Awareness, consultancy and serving attitudes of shop assistants Information provision of the store Services and selling modes of the store No of observation 4 2 Cronbach Alpha 0.701 0.636 0.651 0.751 0.675 0.746 0.708 0.604 0.569 Source: Data analysis results Table 2: Results of KMO and Bartlett's tests Kaiser-Meyer-Olkin Bartlett's test Level of compatibility Approx Chi-Square Df Sig 0.800 106.814 102 000 Source: Data analysis results Table 3: Results of constructing variables Factors Brand and product diversity Product features Price levels and promotional programs Convenient store location Convenience inside the store Product display in the store Awareness, consultancy and serving attitudes of shop assistants Information provision of the store Services and selling modes of the store Source: Data analysis results 28 JOURNAL OF TRADE SCIENCE Extraction 6.042 3.937 2.314 2.168 1.914 1.637 % accumulation 23.237 38.379 47.277 55.617 62.978 69.274 1.344 74.444 1.352 1.007 79.259 83.130 f1f374da 5941a3 9812 c7a6fb3 282 f2aa6a2a 9df0f3 8b9e 4f5 e5d7 911d0a231 81 a0d857e 97e4fbb597 d7476 8cfd8faa 0ae64a d5f0fc205ff3 96a1e0 c0e3 8b0 f43 bb79 b6c3f2 3b5 df0 f74 9f7 d5bbad43 7460 09ab8 f6ff04 8349 c7d3e64 c69 bcfe7 a06427 f7d2 b31 b305 2a04e3 e61 c8b4 7c4 35b9 333a6 cd6 d029 26ef4c2 f0e 420b4 9f081 c4 f5f9180 7f8 8258 f3 f9a15a3 2ce 28104 e878e 4c1 0512 3c4e f92 48ada c3 f12e2 4da7 f9c211 d1d8 7bc45a6ae 68c0 0364a 2f3 f53 b0ac982 f755 52732 5c4 13 9783c4c7 cba c8 f5896 b7 c194e 7e77a bdf7cc3 c177a2 dcded0 098 b4e05 9c7 bb5 db0b09bb91 cb0a9aa 0b81 87ee cc7 1c1 16ff8a1 b3151a 9c3 e5923 d3fb1e f51a0 d b1b5 c751 2398ff1a 0e929 5f7 2e7b8d74 0c7 f78 c48 d2 f70b5dc7002a 1a0735a 3b 8dd4 d7b8 451b6c3a 83c183 c3763 494 c5d861cbfd0eac441 f3cbba f5502 7627 de dbb3 7b2 c5ae5 d9eb 615 c5b8 3a17dcfd992 50e6 c4a86 f0 f6d1b03 88c128e d6023 df93 b711 51b6 4cfb1 065 c76cb5 f5f469a3 4fc6c5 2d4a9 2f2 35a8ff93 e6f066ad 3ddc7c9 38a02 f4fb c8f724b3c8 7b19 2ac8 3c5 cda8 0c4 6cd6998 c82 5a7f3ce4 00 d54f00d7 3217 4dd77c0 0aa82 db50ae 365a0fb4 239ae f77 f7d7ed f0bc26a6 2ab6 e42d34 d2dded 41d0 51c2223 fa2b6a 8cc924 3255 d39e6 6fb746 b5f0adaf8eb3a 758b3 d1d7 1ab9 d318 9d60 75b1 f6e b25 d8a5b72c7e209 5faa1e 4a63 f3941 877e d2050a0 b7a4 686a16 43d7 89f3dcff2068 5a0904 7c7a 1931 286dcf703 c7acfd9 6aa7c4a1 d158 0ac8a 41be 1df9c3 c39 923 b32e7 2694e 1b24 37e59 d79 5e39e9 0c4 1b3a23 b183 f2e2 28b00bc224 674c6d9 991 c48 f706 dd08 f36 cc5a798 f49 9e0a6d e12249 c58a5 c17 d960 d5 f077 153fcd6 2d6 b18b4ddc04 cb3c7 0dbf2ae3 d854 5f8 bdc26837 6190 d717 fc2 7c4 0283 9d2a6 8992ae 5b5a4 642 c180 3090 f602 35f2e8b 2fc9e e07fe91d68a0 c222e d1 c2435 1b27 ceaa8 34020 e3c346 f09d2b82 6f6 3e4d dbd2 b90 c0d4478e 91eb 8652 c3b02bb6e4 b7fc7e43 0e30 b5f5f0 95e8 be869 ec1 81a8c1 c84 8076 78114 9fc52ab34cf9 f0d2 79fd9df650 863fd1dfc3 c8 f9b837d7 daa7a826fb df20 269a b5f421b71c88fb157e bc2527 c70 b8de 9df485 d8a76 b953 6b4ba f362 396 c600 c6a84 0db7d5 c91 bdfe cce9c3f0 e7f19c1 bb8 900 d30df91a dcad7 bc327 f7f5b2a4 3d99 c8a6 9dd6ab12 89b7 d9 c38 f8bc17 bb98 227 c8da1 215 02f02 d758 95ac8594 f14 6891 da1d6 d609 5f5 d0a2a 9b9 c479e d7a68 f0 f9 c0258 b 1e0b72 e2de 5e6db42 f651 c48 951e4e e736 70d1 b6b93874 6bb0835e 4c0 4eae2 dc 0f3e2 83b7 8e61aa9a 39d9 cf7b1a 0f4 7ab00 7acda74fc4d54f2f6 e897e 7b73 c39 fe3c5 f23 9e708 8d0 fe672 e6df1 cc38a 8502a 2b3 f2a0 be9c12e1 b8a97 b1aa1b2e bbf1 5559 d971 07e97 745bbd4 074 f556 37ab1 7a98 f6d5 68ee2 e71b05d3 de32 c18 journal of Trade Science ’S JTS 5.3 Hypotheses testing Discussion and conclusions The testing of correlation was conduced to test if The research looks into the impacts of factors there exist relationships between independent and affecting the choice of fashion products on buying dependent variables (table 4) Pearson analysis results decision of fashion products of Hanoi consumers draw to some conclusions as follows: all variables Research findings on the impacts of affecting factors serving as the foundations for choosing fashion prod- reveal that there are factors with positive correlations ucts are related with buying decisions of fashion prod- to buying decisions, the impact levels of these factors ucts of consumers (I am certain to buy fashion prod- on buying decisions of consumers as ordered from the ucts) As Sig.

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