Artificial Intelligence and Social Networks: AI-Product Recommendations and Social Commerce

Abdallah Houcheimi

doi:10.1007/978-3-032-01234-0_2

Artificial Intelligence and Social Networks: AI-Product Recommendations and Social Commerce

Abdallah Houcheimi

School of Business and Economics

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussa › Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Abstrakti

The widespread adoption of social networks has laid the groundwork for leveraging Artificial Intelligence to enhance social commerce. This study examines the impact of AI-driven product recommendations on social media users’ shopping motivation and decision-making. Drawing from multiple theories related to information and technology use, the research investigates how AI-based recommendations shape users’ shopping decisions. A survey of 285 participants, analyzed using Structural Equation Modeling, reveals that AI-powered recommendations positively influence shopping motivation, which in turn significantly impacts shopping decisions. These findings underscore the role of tailored AI solutions in driving user interaction and enhancing the digital shopping experience. The study provides valuable insights for e-commerce platforms and marketers seeking to optimize user engagement through AI-driven strategies.

Alkuperäiskieli	Englanti
Otsikko	Emerging Trends in Information Systems and Technologies
Alaotsikko	WorldCIST 2025 Volume 4
Toimittajat	Alvaro Rocha, Hojjat Adeli, Aneta Poniszewska-Maranda, Fernando Moreira, Isaias Bianchi
Kustantaja	Springer, Cham
Sivut	15-24
Vuosikerta	1583
ISBN (elektroninen)	978-3-032-01234-0
ISBN (painettu)	978-3-032-01233-3
DOI - pysyväislinkit	https://doi.org/10.1007/978-3-032-01234-0_2
Tila	Julkaistu - 2 tammik. 2026
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisuussa
Tapahtuma	World Conference on Information Systems and Technologies - , Brazil Kesto: 15 huhtik. 2025 → 17 huhtik. 2025 Konferenssinumero: 13

Julkaisusarja

Nimi	Lecture Notes in Networks and Systems
Vuosikerta	1583 LNNS
ISSN (painettu)	2367-3370
ISSN (elektroninen)	2367-3389

Konferenssi

Konferenssi	World Conference on Information Systems and Technologies
Lyhennettä	WorldCIST 2025
Maa/Alue	Brazil
Ajanjakso	15/04/25 → 17/04/25

YK:n kestävän kehityksen tavoitteet

Tämä tuotos edistää seuraavia kestävän kehityksen tavoitteita:

SDG 8 – Ihmisarvoinen työ ja taloudellinen kasvu
SDG 9 – Teollisuus, innovaatiot ja infrastruktuuri
SDG 12 – Vastuullinen kulutus ja tuotanto
Kestävän kehityksen tavoite 17 – Yhteistyö ja kumppanuus

Pääsy asiakirjaan

10.1007/978-3-032-01234-0_2Lisenssi: Publisher rights policy

Viittausmuodot

Houcheimi, A. (2026). Artificial Intelligence and Social Networks: AI-Product Recommendations and Social Commerce. teoksessa A. Rocha, H. Adeli, A. Poniszewska-Maranda, F. Moreira, & I. Bianchi (Toimittajat), Emerging Trends in Information Systems and Technologies: WorldCIST 2025 Volume 4 (Vuosikerta 1583, Sivut 15-24). (Lecture Notes in Networks and Systems; Vuosikerta 1583 LNNS). Springer, Cham. https://doi.org/10.1007/978-3-032-01234-0_2

Houcheimi, Abdallah. / Artificial Intelligence and Social Networks : AI-Product Recommendations and Social Commerce. Emerging Trends in Information Systems and Technologies: WorldCIST 2025 Volume 4. Toimittaja / Alvaro Rocha ; Hojjat Adeli ; Aneta Poniszewska-Maranda ; Fernando Moreira ; Isaias Bianchi. Vuosikerta 1583 Springer, Cham, 2026. Sivut 15-24 (Lecture Notes in Networks and Systems).

@inproceedings{399fc87f541f47abab4a17438139ced2,

title = "Artificial Intelligence and Social Networks: AI-Product Recommendations and Social Commerce",

abstract = "The widespread adoption of social networks has laid the groundwork for leveraging Artificial Intelligence to enhance social commerce. This study examines the impact of AI-driven product recommendations on social media users{\textquoteright} shopping motivation and decision-making. Drawing from multiple theories related to information and technology use, the research investigates how AI-based recommendations shape users{\textquoteright} shopping decisions. A survey of 285 participants, analyzed using Structural Equation Modeling, reveals that AI-powered recommendations positively influence shopping motivation, which in turn significantly impacts shopping decisions. These findings underscore the role of tailored AI solutions in driving user interaction and enhancing the digital shopping experience. The study provides valuable insights for e-commerce platforms and marketers seeking to optimize user engagement through AI-driven strategies.",

keywords = "Product recommendation, Social networks, Social commerce, Shopping motivation, Shopping decision",

author = "Abdallah Houcheimi",

note = "AAM embargo 12 m{\aa}n.; World Conference on Information Systems and Technologies, WorldCIST 2025 ; Conference date: 15-04-2025 Through 17-04-2025",

year = "2026",

month = jan,

day = "2",

doi = "10.1007/978-3-032-01234-0\_2",

language = "English",

isbn = "978-3-032-01233-3",

volume = "1583",

series = "Lecture Notes in Networks and Systems",

publisher = "Springer, Cham",

pages = "15--24",

editor = "Alvaro Rocha and Hojjat Adeli and Aneta Poniszewska-Maranda and Fernando Moreira and Isaias Bianchi",

booktitle = "Emerging Trends in Information Systems and Technologies",

}

Houcheimi, A 2026, Artificial Intelligence and Social Networks: AI-Product Recommendations and Social Commerce. julkaisussa A Rocha, H Adeli, A Poniszewska-Maranda, F Moreira & I Bianchi (toim), Emerging Trends in Information Systems and Technologies: WorldCIST 2025 Volume 4. Vuosikerta 1583, Lecture Notes in Networks and Systems, Vuosikerta 1583 LNNS, Springer, Cham, Sivut 15-24, World Conference on Information Systems and Technologies, Brazil, 15/04/25. https://doi.org/10.1007/978-3-032-01234-0_2

Artificial Intelligence and Social Networks: AI-Product Recommendations and Social Commerce. / Houcheimi, Abdallah.
Emerging Trends in Information Systems and Technologies: WorldCIST 2025 Volume 4. toim. / Alvaro Rocha; Hojjat Adeli; Aneta Poniszewska-Maranda; Fernando Moreira; Isaias Bianchi. Vuosikerta 1583 Springer, Cham, 2026. s. 15-24 (Lecture Notes in Networks and Systems; Vuosikerta 1583 LNNS).

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussa › Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

TY - GEN

T1 - Artificial Intelligence and Social Networks

T2 - World Conference on Information Systems and Technologies

AU - Houcheimi, Abdallah

N1 - Conference code: 13

PY - 2026/1/2

Y1 - 2026/1/2

N2 - The widespread adoption of social networks has laid the groundwork for leveraging Artificial Intelligence to enhance social commerce. This study examines the impact of AI-driven product recommendations on social media users’ shopping motivation and decision-making. Drawing from multiple theories related to information and technology use, the research investigates how AI-based recommendations shape users’ shopping decisions. A survey of 285 participants, analyzed using Structural Equation Modeling, reveals that AI-powered recommendations positively influence shopping motivation, which in turn significantly impacts shopping decisions. These findings underscore the role of tailored AI solutions in driving user interaction and enhancing the digital shopping experience. The study provides valuable insights for e-commerce platforms and marketers seeking to optimize user engagement through AI-driven strategies.

AB - The widespread adoption of social networks has laid the groundwork for leveraging Artificial Intelligence to enhance social commerce. This study examines the impact of AI-driven product recommendations on social media users’ shopping motivation and decision-making. Drawing from multiple theories related to information and technology use, the research investigates how AI-based recommendations shape users’ shopping decisions. A survey of 285 participants, analyzed using Structural Equation Modeling, reveals that AI-powered recommendations positively influence shopping motivation, which in turn significantly impacts shopping decisions. These findings underscore the role of tailored AI solutions in driving user interaction and enhancing the digital shopping experience. The study provides valuable insights for e-commerce platforms and marketers seeking to optimize user engagement through AI-driven strategies.

KW - Product recommendation

KW - Social networks

KW - Social commerce

KW - Shopping motivation

KW - Shopping decision

U2 - 10.1007/978-3-032-01234-0_2

DO - 10.1007/978-3-032-01234-0_2

M3 - Published conference proceeding

SN - 978-3-032-01233-3

VL - 1583

T3 - Lecture Notes in Networks and Systems

SP - 15

EP - 24

BT - Emerging Trends in Information Systems and Technologies

A2 - Rocha, Alvaro

A2 - Adeli, Hojjat

A2 - Poniszewska-Maranda, Aneta

A2 - Moreira, Fernando

A2 - Bianchi, Isaias

PB - Springer, Cham

Y2 - 15 April 2025 through 17 April 2025

ER -

Houcheimi A. Artificial Intelligence and Social Networks: AI-Product Recommendations and Social Commerce. julkaisussa Rocha A, Adeli H, Poniszewska-Maranda A, Moreira F, Bianchi I, toimittajat, Emerging Trends in Information Systems and Technologies: WorldCIST 2025 Volume 4. Vuosikerta 1583. Springer, Cham. 2026. s. 15-24. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-032-01234-0_2

Artificial Intelligence and Social Networks: AI-Product Recommendations and Social Commerce

Abstrakti

Julkaisusarja

Konferenssi

YK:n kestävän kehityksen tavoitteet

Pääsy asiakirjaan

Sormenjälki

Viittausmuodot