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चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।

उपभोक्ता सहभागिता पैमाना×ग्राहक निष्ठा पैमाना×
क्षेत्रविपणन प्रबंधनविपणन प्रबंधन
परिवारProcess / pipelineProcess / pipeline
उद्भव वर्ष19851994
प्रवर्तकJudith Lynne ZaichkowskyAlan S. Dick, Kunal Basu
प्रकारUni-dimensional consumer involvement scaleMulti-dimensional behavioral and attitudinal loyalty scale
मौलिक स्रोतZaichkowsky, J. L. (1985). Measuring the Involvement Construct. Journal of Consumer Research, 12(3), 341-352. DOI ↗Dick, A. S., & Basu, K. (1994). Customer Loyalty: Toward an Integrated Conceptual Framework. Journal of the Academy of Marketing Science, 22(2), 99-113. DOI ↗
उपनामProduct Involvement Scale, Personal Involvement InventoryBehavioral Loyalty Scale, Loyalty Commitment Scale
संबंधित34
सारांशThe Consumer Involvement Scale (CIS), developed by Zaichkowsky (1985), measures the degree to which a consumer feels personally invested in a product, brand, or purchase decision. Originally a 20-item instrument operationalizing the concept of 'personal relevance,' the CIS was refined to 10 items in 1994 (Revised Personal Involvement Inventory, PII), maintaining measurement of consumer involvement across multiple semantic dimensions. Involvement captures both the personal importance of a product category and the perceived risk of making a poor choice. The scale is fundamental in consumer behavior research for understanding motivation, information processing, and purchase decision intensity.The Customer Loyalty Scale (CLS) measures customer loyalty as a combination of attitudinal commitment and behavioral intention. Developed by Dick and Basu (1994), the scale distinguishes between behavioral loyalty (repeat purchases) and attitudinal loyalty (emotional commitment), recognizing that true loyalty involves both. CLS captures multiple dimensions of loyalty including repurchase intention, word-of-mouth advocacy, and resistance to competitive offerings. The instrument is widely used in marketing research to predict customer lifetime value and identify at-risk customers.
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