نتایج جستجو برای: customer preferences

تعداد نتایج: 111557  

Journal: :مدیریت بازرگانی 0
محمد حقیقی دانشیار مدیریت بازرگانی، دانشگاه تهران، تهران، ایران امیر خانلری استادیار مدیریت بازاریابی، دانشگاه تهران، تهران، ایران وحید مقصودی کارشناس ارشد مدیریت اجرایی (بازاریابی)، دانشگاه تهران، ایران

consumers have different needs and desires in their relationship with service firms and not every consumer is willing to engage in close commercial relationship in the same manner. although customer relationship management (crm) is a top priority for marketers, scholars and managers do not appropriately understand these distinct relational preferences. this article introduces ‘customer attachme...

2002
MICHAEL GIBBERT

Corporations are beginning to realize that the proverbial ‘if we only knew what we know’ also includes ‘if we only knew what our customers know.’ The authors discuss the concept of Customer Knowledge Management (CKM), which refers to the management of knowledge from customers, i.e. knowledge resident in customers. CKM is contrasted with knowledge about customers, e.g. customer characteristics a...

2000
Raji Srinivasan Gary Lilien

Internet and database technologies enable marketers to collect ever more extensive information on their customers' needs, preferences and past behaviors, but marketers often claim that they are challenged to make effective use of the information. Despite the substantial literature on market information utilization, the topic of customer information has received limited attention from marketing ...

Journal: :International Journal of Emerging Trends in Engineering Research 2020

2015

By leveraging product-centric connected ecosystems, manufacturers can create new and more effective business models, advance operational excellence, and design and develop better products and services that align with customer needs and preferences.

Journal: :Mobile Networks and Applications 2021

Abstract Customer preferences analysis and modelling using deep learning in edge computing environment are critical to enhance customer relationship management that focus on a dynamically changing market place. Existing forecasting methods work well with often seen linear demand patterns but become less accurate intermittent demands the catering industry. In this paper, we introduce throughput ...

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