JOURNAL ARTICLE

Emotional intelligence and boundary‐spanning behavior among door‐to‐door salespeople.

  • Published In: Canadian Journal of Administrative Sciences (John Wiley & Sons, Inc.), 2024, v. 41, n. 2. P. 248 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Yi, Ho‐Taek; Amenuvor, Fortune Edem 3 of 3

Abstract

This study examines the impact of emotional intelligence (EI) on boundary‐spanning behavior, relationship quality, and performance among door‐to‐door salespeople. Data is collected from salespeople and customers of South Korean door‐to‐door cosmetics businesses and analyzed using structural equation modeling. The findings show that EI positively affects boundary‐spanning behavior. Similarly, boundary‐spanning behavior improves relationship quality, which improves both sales performance and customer satisfaction. This suggests that EI plays an important role in salespeople's boundary‐spanning behavior, thereby enhancing relationship quality, sales performance, and customer satisfaction. Unlike previous studies, this study makes use of actual sales volumes, salespeople's self‐reporting responses, and salespeople's customer‐reporting, which adds to the findings' uniqueness. The present study highlights that EI improves boundary‐spanning behavior, which is vital in developing relationship quality, improving sales performance, and increasing customer satisfaction. The study uses triadic data from door‐to‐door salespeople, customers, and sales organizations extensively, which is unusual in this field. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Canadian Journal of Administrative Sciences (John Wiley & Sons, Inc.). 2024/06, Vol. 41, Issue 2, p248
  • Document Type:Article
  • Subject Area:Psychology
  • Publication Date:2024
  • ISSN:0825-0383
  • DOI:10.1002/cjas.1711
  • Accession Number:177613498
  • Copyright Statement:Copyright of Canadian Journal of Administrative Sciences (John Wiley & Sons, Inc.) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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