找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Advances in Tourism, Technology and Systems; Selected Papers from Jo?o Vidal de Carvalho,Pedro Liberato,Alejandro Pe Conference proceedings

[復制鏈接]
樓主: encroach
51#
發(fā)表于 2025-3-30 11:19:32 | 只看該作者
52#
發(fā)表于 2025-3-30 14:02:30 | 只看該作者
Exploring the Dynamic Capabilities of Businesses to Cope with COVID-19 Challenges,ptions. Most businesses reveal having dynamic digital capabilities in place and ability to take advantage of their digital presence to foster business survival and growth. These capabilities are, however, heavily built on what we believe to be core emerging business management skills, as they are as
53#
發(fā)表于 2025-3-30 17:21:27 | 只看該作者
54#
發(fā)表于 2025-3-30 23:14:43 | 只看該作者
Safety Seal Clean & Safe and Recovery of Tourism Marketing in the (Post) Pandemic Context,h). Preliminary results demonstrate that Safety Seal Clean & Safe tends to influence feelings of safety and confidence regarding tourist travel. Future studies should deepen this debate, through interviews and focus groups with tourist consumers. From an interdisciplinary perspective, this manuscrip
55#
發(fā)表于 2025-3-31 01:27:56 | 只看該作者
Internationalizing Wine Tourism in Rural Territories? A Discussion Based on Survey Results from Visntext that the present study analyses data from both domestic and international travelers to three wine routes in rural territories in Central Portugal. Results reveal advantages and disadvantages associated with a focus on the domestic versus international market and the challenge of serving both i
56#
發(fā)表于 2025-3-31 05:57:59 | 只看該作者
Bankruptcy Prediction with Machine Learning: The Case of Portuguese and Spanish Hospitality Sector,e global model. Overall, the classifiers most suitable for this task are random forest and AdaBoost, as they yield the best results in most settings. To the best of our knowledge, this is the first time a supervised learning framework is applied for hospitality sector business failure prediction of
57#
發(fā)表于 2025-3-31 09:11:22 | 只看該作者
58#
發(fā)表于 2025-3-31 14:24:21 | 只看該作者
59#
發(fā)表于 2025-3-31 19:56:10 | 只看該作者
60#
發(fā)表于 2025-4-1 00:37:52 | 只看該作者
 關于派博傳思  派博傳思旗下網站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網 吾愛論文網 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經驗總結 SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網安備110108008328) GMT+8, 2025-10-16 11:47
Copyright © 2001-2015 派博傳思   京公網安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
秀山| 开封县| 边坝县| 平昌县| 巧家县| 仪征市| 崇义县| 凤庆县| 石首市| 吉木萨尔县| 垣曲县| 稷山县| 铁岭县| 烟台市| 绿春县| 成都市| 晴隆县| 隆尧县| 曲阳县| 昆明市| 大悟县| 紫阳县| 奎屯市| 陇南市| 纳雍县| 洛阳市| 调兵山市| 张家川| 兴海县| 大英县| 安庆市| 静海县| 武威市| 南皮县| 胶州市| 白玉县| 磴口县| 巴中市| 尼玛县| 阿拉善盟| 涡阳县|