Evaluation of the Efficiency and Effectiveness of the Video Surveillance System in the Collection Areas of a Public Company of the Electric Sector by Applying the Multiple Linear Regression Method

Dayana Almeida; Luis F. Guerrero-Vasquez; Paul A. Chasi-Pesantez

doi:10.1007/978-3-032-00329-4_16

Evaluation of the Efficiency and Effectiveness of the Video Surveillance System in the Collection Areas of a Public Company of the Electric Sector by Applying the Multiple Linear Regression Method

Research Group in Telecommunications and Telematics (GITEL)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This study evaluates the customer satisfaction of a video surveillance system in the collection areas of a public company of the electric sector in Ecuador, using the multiple linear regression method. The research focuses on identifying how independent variables, such as camera availability, coverage of the monitored area, response time and customer flow, influence the dependent variable, “customer satisfaction”. The results highlight that availability and coverage are key factors to ensure security and confidence in the service, while customer satisfaction is presented as an integral metric to measure the operational efficiency of the video surveillance system. Finally, the results of the analysis provide a solid basis for identifying opportunities for improvement, proposing future research to include new variables, such as staff perception, for a more comprehensive evaluation of the system's effectiveness.

Original language	English
Title of host publication	Digital Horizons
Subtitle of host publication	Reimagining Business in the Tech Era - Proceedings of ICBT 2025
Editors	Alareeni Bahaaeddin, Allam Hamdan
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	175-184
Number of pages	10
ISBN (Print)	9783032003287
DOIs	https://doi.org/10.1007/978-3-032-00329-4_16
State	Published - 2026
Event	International Conference on Business and Technology, ICBT 2025 - Edinburgh, United Kingdom Duration: 12 Apr 2025 → 13 Apr 2025

Publication series

Name	Lecture Notes in Networks and Systems
Volume	1570 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	International Conference on Business and Technology, ICBT 2025
Country/Territory	United Kingdom
City	Edinburgh
Period	12/04/25 → 13/04/25

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

Keywords

Customer satisfaction
Efficiency
Multiple linear regression model
Public utility
Video surveillance

Access to Document

10.1007/978-3-032-00329-4_16

Cite this

Almeida, D., Guerrero-Vasquez, L. F., & Chasi-Pesantez, P. A. (2026). Evaluation of the Efficiency and Effectiveness of the Video Surveillance System in the Collection Areas of a Public Company of the Electric Sector by Applying the Multiple Linear Regression Method. In A. Bahaaeddin, & A. Hamdan (Eds.), Digital Horizons: Reimagining Business in the Tech Era - Proceedings of ICBT 2025 (pp. 175-184). (Lecture Notes in Networks and Systems; Vol. 1570 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-032-00329-4_16

Almeida, Dayana ; Guerrero-Vasquez, Luis F. ; Chasi-Pesantez, Paul A. / Evaluation of the Efficiency and Effectiveness of the Video Surveillance System in the Collection Areas of a Public Company of the Electric Sector by Applying the Multiple Linear Regression Method. Digital Horizons: Reimagining Business in the Tech Era - Proceedings of ICBT 2025. editor / Alareeni Bahaaeddin ; Allam Hamdan. Springer Science and Business Media Deutschland GmbH, 2026. pp. 175-184 (Lecture Notes in Networks and Systems).

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title = "Evaluation of the Efficiency and Effectiveness of the Video Surveillance System in the Collection Areas of a Public Company of the Electric Sector by Applying the Multiple Linear Regression Method",

abstract = "This study evaluates the customer satisfaction of a video surveillance system in the collection areas of a public company of the electric sector in Ecuador, using the multiple linear regression method. The research focuses on identifying how independent variables, such as camera availability, coverage of the monitored area, response time and customer flow, influence the dependent variable, “customer satisfaction”. The results highlight that availability and coverage are key factors to ensure security and confidence in the service, while customer satisfaction is presented as an integral metric to measure the operational efficiency of the video surveillance system. Finally, the results of the analysis provide a solid basis for identifying opportunities for improvement, proposing future research to include new variables, such as staff perception, for a more comprehensive evaluation of the system's effectiveness.",

keywords = "Customer satisfaction, Efficiency, Multiple linear regression model, Public utility, Video surveillance",

author = "Dayana Almeida and Guerrero-Vasquez, \{Luis F.\} and Chasi-Pesantez, \{Paul A.\}",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.; International Conference on Business and Technology, ICBT 2025 ; Conference date: 12-04-2025 Through 13-04-2025",

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doi = "10.1007/978-3-032-00329-4\_16",

language = "English",

isbn = "9783032003287",

series = "Lecture Notes in Networks and Systems",

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Almeida, D, Guerrero-Vasquez, LF & Chasi-Pesantez, PA 2026, Evaluation of the Efficiency and Effectiveness of the Video Surveillance System in the Collection Areas of a Public Company of the Electric Sector by Applying the Multiple Linear Regression Method. in A Bahaaeddin & A Hamdan (eds), Digital Horizons: Reimagining Business in the Tech Era - Proceedings of ICBT 2025. Lecture Notes in Networks and Systems, vol. 1570 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 175-184, International Conference on Business and Technology, ICBT 2025, Edinburgh, United Kingdom, 12/04/25. https://doi.org/10.1007/978-3-032-00329-4_16

Evaluation of the Efficiency and Effectiveness of the Video Surveillance System in the Collection Areas of a Public Company of the Electric Sector by Applying the Multiple Linear Regression Method. / Almeida, Dayana; Guerrero-Vasquez, Luis F.; Chasi-Pesantez, Paul A.
Digital Horizons: Reimagining Business in the Tech Era - Proceedings of ICBT 2025. ed. / Alareeni Bahaaeddin; Allam Hamdan. Springer Science and Business Media Deutschland GmbH, 2026. p. 175-184 (Lecture Notes in Networks and Systems; Vol. 1570 LNNS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Almeida, Dayana

AU - Guerrero-Vasquez, Luis F.

AU - Chasi-Pesantez, Paul A.

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

PY - 2026

Y1 - 2026

N2 - This study evaluates the customer satisfaction of a video surveillance system in the collection areas of a public company of the electric sector in Ecuador, using the multiple linear regression method. The research focuses on identifying how independent variables, such as camera availability, coverage of the monitored area, response time and customer flow, influence the dependent variable, “customer satisfaction”. The results highlight that availability and coverage are key factors to ensure security and confidence in the service, while customer satisfaction is presented as an integral metric to measure the operational efficiency of the video surveillance system. Finally, the results of the analysis provide a solid basis for identifying opportunities for improvement, proposing future research to include new variables, such as staff perception, for a more comprehensive evaluation of the system's effectiveness.

AB - This study evaluates the customer satisfaction of a video surveillance system in the collection areas of a public company of the electric sector in Ecuador, using the multiple linear regression method. The research focuses on identifying how independent variables, such as camera availability, coverage of the monitored area, response time and customer flow, influence the dependent variable, “customer satisfaction”. The results highlight that availability and coverage are key factors to ensure security and confidence in the service, while customer satisfaction is presented as an integral metric to measure the operational efficiency of the video surveillance system. Finally, the results of the analysis provide a solid basis for identifying opportunities for improvement, proposing future research to include new variables, such as staff perception, for a more comprehensive evaluation of the system's effectiveness.

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Almeida D, Guerrero-Vasquez LF , Chasi-Pesantez PA. Evaluation of the Efficiency and Effectiveness of the Video Surveillance System in the Collection Areas of a Public Company of the Electric Sector by Applying the Multiple Linear Regression Method. In Bahaaeddin A, Hamdan A, editors, Digital Horizons: Reimagining Business in the Tech Era - Proceedings of ICBT 2025. Springer Science and Business Media Deutschland GmbH. 2026. p. 175-184. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-032-00329-4_16

Evaluation of the Efficiency and Effectiveness of the Video Surveillance System in the Collection Areas of a Public Company of the Electric Sector by Applying the Multiple Linear Regression Method

Abstract

Publication series

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Bibliographical note

Keywords

Access to Document

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