Marketing in the Metaverse Through MCDM Methods and Statistics DOI
Theodore Tarnanidis, Maro Vlachopoulou,

Bertrand Mareschal

и другие.

Advances in marketing, customer relationship management, and e-services book series, Год журнала: 2024, Номер unknown, С. 249 - 266

Опубликована: Дек. 13, 2024

The aim of this chapter is to explicate the fundamental advantages MCDM methods in addressing diverse marketing challenges through use statistical techniques. list examples included household and consumer panel data on product purchases survey demand models based micro-economic theory. Integrating with techniques metaverse can lead marketers better outcomes their efforts by making more informed robust decisions. Although process generally similar those other approaches, there are differences how information alternatives, criteria, relative importance (weight) criteria provided, identified, analyzed. It could be said that consists a series stages from defining problem identifying best alternatives.

Язык: Английский

The Impact of Intelligent Services on Customer Satisfaction in the China Hotel Industry DOI
Bo Zhou, Tian Tian, Alice H.Y. Hon

и другие.

Journal of China Tourism Research, Год журнала: 2025, Номер unknown, С. 1 - 26

Опубликована: Март 31, 2025

Язык: Английский

Процитировано

0
Navigating the Complexity of HRM Practice: A Multiple-Criteria Decision-Making Framework DOI Creative Commons
Vuk Mirčetić, Gabrijela Popović, Svetlana Vukotić

и другие.

Mathematics, Год журнала: 2024, Номер 12(23), С. 3769 - 3769

Опубликована: Ноя. 29, 2024

A myriad of diverse factors affect the contemporary business environment and all areas, causing organisations to innovate new models, or use innovations navigate complexity HRM practice successfully. Despite plenitude notable studies, a particular theoretical gap exists regarding innovation’s impact on practices understanding how multiple-criteria decision-making (MCDM) methods can be effectively applied in context human resource management (HRM) address important aspects successful prioritise considered alternative solutions. Recognising potential MCDM field highlighted possibility involving detecting most influential innovative defining rank companies that are applying them. The approach proposed here utilises CRITIC (CRiteria Importance Through Intercriteria Correlation) method PIPRECIA-S (Simple PIvot Pairwise RElative Criteria Assessment) for prioritising practices, COBRA (COmprehensive Distance Based RAnking) assessing under evaluation. research, which involved 21 respondent experts from 12 Republic Serbia, revealed employee participation is significant yields best results environment. Consequently, first-ranked company successfully met requirements presented.

Язык: Английский

Процитировано

0
Marketing in the Metaverse Through MCDM Methods and Statistics DOI
Theodore Tarnanidis, Maro Vlachopoulou,

Bertrand Mareschal

и другие.

Advances in marketing, customer relationship management, and e-services book series, Год журнала: 2024, Номер unknown, С. 249 - 266

Опубликована: Дек. 13, 2024

The aim of this chapter is to explicate the fundamental advantages MCDM methods in addressing diverse marketing challenges through use statistical techniques. list examples included household and consumer panel data on product purchases survey demand models based micro-economic theory. Integrating with techniques metaverse can lead marketers better outcomes their efforts by making more informed robust decisions. Although process generally similar those other approaches, there are differences how information alternatives, criteria, relative importance (weight) criteria provided, identified, analyzed. It could be said that consists a series stages from defining problem identifying best alternatives.

Язык: Английский

Процитировано

0