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Relationships Between Factors Associated With Retail Loss Prevention Professionals Technology Acceptance of Advanced Analytics.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Relationships Between Factors Associated With Retail Loss Prevention Professionals Technology Acceptance of Advanced Analytics./
Author:	Southwick, Noreen.
Description:	1 online resource (119 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 85-05, Section: A.
Contained By:	Dissertations Abstracts International85-05A.
Subject:	Information technology. -
Online resource:	click for full text (PQDT)
ISBN:	9798380872478

Relationships Between Factors Associated With Retail Loss Prevention Professionals Technology Acceptance of Advanced Analytics.
Southwick, Noreen.

Relationships Between Factors Associated With Retail Loss Prevention Professionals Technology Acceptance of Advanced Analytics. - 1 online resource (119 pages)

Source: Dissertations Abstracts International, Volume: 85-05, Section: A.

Thesis (Ph.D.)--Northcentral University, 2023.

Includes bibliographical references

Retail organizations experience losses in many ways, but the most significant losses come from internal theft. Advanced analytics as a proactive investigative method can reduce financial losses and shrinkage for retailers but is underutilized by loss prevention professionals. Ongoing dishonest behavior can cause significant problems for retail organizations, resulting in monetary losses and negatively impacting customer relationships and brand reputation. The purpose of this quantitative, correlational research study aimed to mitigate revenue losses by increasing the proactive usage of advanced analytics by Loss Prevention Professionals. Toward this end, the role of Technology Acceptance Model variables was examined concerning retail Loss Prevention Professionals' attitudes and behavioral intentions toward data analytics. It provided actionable insights and implications for developing a data analytics program. A modified version of the Technology Acceptance Survey was distributed to Retail Loss Prevention Professionals. The study collected 59 responses from participants working in retail loss prevention. A multiple regression model was applied to the Technology Acceptance variables of perceived usefulness, perceived ease of use, and attitude toward technology on behavioral intention to use technology. The results were significant (F(3, 55) = 5.370, p = .002, R2 = .220, R2Adjusted = .180). Following this analysis, each variable was assessed independently using a linear regression model. Findings showed a correlation between perceived usefulness, perceived ease of use, and attitude toward technology on behavioral intention to use. With the results of this study, retail loss prevention executives can implement effective measures to increase the proactive use of advanced analytics in their field teams. Future studies should focus on expanding the age dispersion of the population, examine years worked while using analytics, and expand this survey to all technology used by retail loss prevention professionals.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798380872478Subjects--Topical Terms:

559429
Information technology.
Subjects--Index Terms:

Data analyticsIndex Terms--Genre/Form:

554714
Electronic books.

Relationships Between Factors Associated With Retail Loss Prevention Professionals Technology Acceptance of Advanced Analytics.
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