Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Knowledge Sharing and Fostering Collaborative Business Culture

Knowledge Sharing and Fostering Collaborative Business Culture

Hussain, Zahid
Khan, Arman
Qureshi, Muhammad Asif

Hardcover

Business General

ISBN13: 9798337307107
Publisher: IGI Global
Published: Mar 21 2025
Pages: 500
Weight: 3.82
Height: 1.38 Width: 8.50 Depth: 11.00
Language: English
With the rise of technological advancement, organizations can leverage knowledge-sharing practices to foster both employee engagement and customer loyalty. New technologies enable organizations to create seamless, collaborative environments where information flows freely across all levels, breaking silos and boosting productivity. By facilitating access to critical knowledge, businesses can engage employees effectively, driving motivation and job satisfaction. Knowledge sharing also plays a critical role in enhancing customer relationships, building stronger, more loyal customer bases. Further research may demonstrate how leaders can foster a knowledge-sharing environment, ensuring that both internal teams and external customers benefit from the wealth of collective organizational knowledge. Knowledge Sharing and Fostering Collaborative Business Culture emphasizes the role of digital tools, such as AI, cloud-based platforms, and data analytics, in transforming traditional knowledge-sharing models. It examines how organizations can utilize AI and other digital tools to gather and analyze data, offering personalized solutions that align with customer needs and preferences. This book covers topics such as business collaboration, employee engagement, and workplace culture, and is a useful resource for business owners, sociologists, computer engineers, data scientists, academicians, and researchers.

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