The Role of Data Analytics in the Enhancement of Co-production at Different Management Levels

 

บทบาทของการวิเคราะห์ข้อมูลในการยกระดับการผลิตแบบร่วม สำหรับผู้บริหารในแต่ละระดับ

 

 

Received:
August 1, 2025

Revised:
October 21, 2025

Accepted:
November 3, 2025

Dr.Sumate Permwonguswa

Lecturer of the Department of Digital Business Management,

Martin de Tours School of Management and Economics, Assumption University

 

 

วันที่ได้รับต้นฉบับบทความ :
1 สิงหาคม 2568

วันที่แก้ไขปรับปรุงบทความ :
21 ตุลาคม 2568

วันที่ตอบรับตีพิมพ์บทความ
3 พฤศจิกายน 2568

 

ดร.สุเมธ เพิ่มวงศ์อัศวะ

อาจารย์ประจำภาควิชาการจัดการธุรกิจดิจิทัล

คณะบริหารธุรกิจและเศรษฐศาสตร์ มหาวิทยาลัยอัสสัมชัญ

 

 

Keywords:

Data Analytics, Co-production,
Management Level

ABSTRACT

With the increasing need to gain actionable insight from the data, businesses seek the tools to help make the right decisions at the right time. Many have explored the capabilities of data-driven technologies and attempted to leverage the vast amount of data available on the Internet. Data analytics has become an inevitable choice in many business sectors. Nonetheless, the business needs to understand the purposes of different data analytics methods and how it can benefit from each method. This paper introduces various methods in data analytics and their relationship to customer co-production outcomes. The paper also examines whether these relationships will change when used by people at different levels of management.

 

 

คำสำคัญ :

การวิเคราะห์ข้อมูล การผลิตร่วม
ระดับผู้บริหาร

บทคัดย่อ

ด้วยความต้องการที่เพิ่มขึ้นในการรับรู้ข้อมูลเชิงลึกที่สามารถนำไปปฏิบัติได้จริง ธุรกิจต่าง ๆ จึงแสวงหาเครื่องมือที่จะช่วยให้ตัดสินใจได้อย่างถูกต้องในเวลาที่เหมาะสม หลาย ๆ บทความวิจัยได้สำรวจความสามารถของเทคโนโลยีที่ขับเคลื่อนด้วยข้อมูลและพยายามใช้ประโยชน์จากข้อมูลจำนวนมหาศาลที่มีอยู่บนอินเทอร์เน็ต การวิเคราะห์ข้อมูลได้กลายเป็นตัวเลือกที่หลีกเลี่ยงไม่ได้ในหลายภาคธุรกิจ อย่างไรก็ตาม ธุรกิจจำเป็นต้องเข้าใจวัตถุประสงค์ของวิธีการวิเคราะห์ข้อมูลที่แตกต่างกัน และประโยชน์ที่ธุรกิจจะได้รับจากแต่ละวิธี บทความนี้นำเสนอวิธีการต่าง ๆ ในการวิเคราะห์ข้อมูลและความสัมพันธ์กับผลลัพธ์จากการร่วมผลิตของลูกค้า นอกจากนี้ บทความนี้ยังศึกษาว่า ความสัมพันธ์เหล่านี้จะเปลี่ยนแปลงไปหรือไม่ เมื่อการวิเคราะห์ข้อมูลถูกใช้โดยผู้บริหารในระดับที่แตกต่างกันลงทุนมีข้อมูลรองรับมากยิ่งขึ้น

 

 

 

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