Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Hsieh, Ming-Yuan (2020) Interdisciplinarily Exploring the Most Potential IoT Technology Determinants in the Omnichannel E-Commerce Purchasing Decision-Making Processes. Applied Sciences, 10. 603pp. doi:10.3390/app10020603

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleInterdisciplinarily Exploring the Most Potential IoT Technology Determinants in the Omnichannel E-Commerce Purchasing Decision-Making Processes
JournalApplied Sciences
AuthorsHsieh, Ming-YuanAuthor
Year2020 (January 14)Volume10
PublisherMDPI AG
DOIdoi:10.3390/app10020603Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID10103863Long-form Identifiermindat:1:5:10103863:0
GUID0
Full ReferenceHsieh, Ming-Yuan (2020) Interdisciplinarily Exploring the Most Potential IoT Technology Determinants in the Omnichannel E-Commerce Purchasing Decision-Making Processes. Applied Sciences, 10. 603pp. doi:10.3390/app10020603
Plain TextHsieh, Ming-Yuan (2020) Interdisciplinarily Exploring the Most Potential IoT Technology Determinants in the Omnichannel E-Commerce Purchasing Decision-Making Processes. Applied Sciences, 10. 603pp. doi:10.3390/app10020603
In(n.d.) Applied Sciences Vol. 10. MDPI AG

See Also

These are possibly similar items as determined by title/reference text matching only.

(2010) Exploring Critical Determinants in Deploying Mobile Commerce Technology. American Journal of Applied Sciences, 7 (1) 120-126 doi:10.3844/ajassp.2010.120.126
Tenekedjiev, Kiril; Calford, Mike (2025) Exploring Computational Methods to Advance Clinical Decision Making. Applied Sciences, 15 (10). doi:10.3390/app15105636
Ertekin, Turgay (2021) The Efficacy and Superiority of the Expert Systems in Reservoir Engineering Decision Making Processes. Applied Sciences, 11 (14) 6347pp. doi:10.3390/app11146347
Liu, Bei, Luo, Jie, Su, Xin (2021) The Framework of 6G Self-Evolving Networks and the Decision-Making Scheme for Massive IoT. Applied Sciences, 11 (19) 9353pp. doi:10.3390/app11199353
Kammerer, Niels B., Stummer, Wolfgang (2020) Some Dissimilarity Measures of Branching Processes and Optimal Decision Making in the Presence of Potential Pandemics. Entropy, 22 (8) 874pp. doi:10.3390/e22080874
YEO, JULIA, HUANG, WAYNE (2003) MOBILE E-COMMERCE OUTLOOK. International Journal of Information Technology & Decision Making, 2. 313-332 doi:10.1142/s0219622003000641
Hsieh, Yen-Hao, Yuan, Soe-Tsyr (2016) Can Customer Expectations be Measured in Real Time?. International Journal of Information Technology & Decision Making, 15. 119-149 doi:10.1142/s0219622015500352
Hsieh, Ming Yuan, Kung, Chaang Yung, Lai, Chih Sung, Chen, Chih Tung (2011) Utilizing the QFD to Make the Most Potential Marketing Strategy through Applying the Innovative Wireless Technology in a Hypercompetitive Era. Key Engineering Materials, 467. 1000-1005 doi:10.4028/www.scientific.net/kem.467-469.1000
Zhang, Hong-yu, Zhou, Rui, Wang, Jian-qiang, Chen, Xiao-hong (2016) An FMCDM approach to purchasing decision-making based on cloud model and prospect theory in e-commerce. International Journal of Computational Intelligence Systems, 9 (4). 676-688 doi:10.1080/18756891.2016.1204116
Kou, Gang, Dinçer, Hasan, Yüksel, Serhat, Alotaibi, Fahd S. (2024) Imputed Expert Decision Recommendation System for QFD-based Omnichannel Strategy Selection for Financial Services. International Journal of Information Technology & Decision Making, 23 (1) 141-170 doi:10.1142/s0219622023300033
Chang, Kai-Ming, Dzeng, Ren-Jye, Wu, Yi-Ju (2018) An Automated IoT Visualization BIM Platform for Decision Support in Facilities Management. Applied Sciences, 8. 1086pp. doi:10.3390/app8071086
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: August 26, 2025 02:29:27
Go to top of page