Processing, Please wait...

  • Home
  • About Us
  • Search:
  • Advanced Search

Growing Science » Tags cloud » External assistance

Journals

  • IJIEC (777)
  • MSL (2643)
  • DSL (690)
  • CCL (528)
  • USCM (1092)
  • ESM (421)
  • AC (562)
  • JPM (293)
  • IJDS (952)
  • JFS (96)
  • HE (32)
  • SCI (26)

Keywords

Supply chain management(168)
Jordan(165)
Vietnam(151)
Customer satisfaction(120)
Performance(115)
Supply chain(112)
Service quality(98)
Competitive advantage(97)
Tehran Stock Exchange(94)
SMEs(89)
optimization(87)
Artificial intelligence(85)
Financial performance(84)
Sustainability(84)
Trust(83)
TOPSIS(83)
Job satisfaction(81)
Factor analysis(78)
Genetic Algorithm(78)
Social media(78)


» Show all keywords

Authors

Naser Azad(82)
Zeplin Jiwa Husada Tarigan(66)
Mohammad Reza Iravani(64)
Endri Endri(45)
Muhammad Alshurideh(42)
Hotlan Siagian(40)
Dmaithan Almajali(37)
Jumadil Saputra(36)
Muhammad Turki Alshurideh(35)
Ahmad Makui(33)
Barween Al Kurdi(32)
Sautma Ronni Basana(31)
Basrowi Basrowi(31)
Hassan Ghodrati(31)
Mohammad Khodaei Valahzaghard(30)
Shankar Chakraborty(29)
Ni Nyoman Kerti Yasa(29)
Sulieman Ibraheem Shelash Al-Hawary(28)
Prasadja Ricardianto(28)
Haitham M. Alzoubi(28)


» Show all authors

Countries

Iran(2190)
Indonesia(1311)
Jordan(813)
India(793)
Vietnam(510)
Saudi Arabia(477)
Malaysia(444)
China(231)
United Arab Emirates(226)
Thailand(160)
United States(114)
Ukraine(110)
Turkey(110)
Egypt(105)
Peru(94)
Canada(92)
Morocco(86)
Pakistan(85)
United Kingdom(80)
Nigeria(78)


» Show all countries
Sort articles by: Volume | Date | Most Rates | Most Views | Reviews | Alphabet
1.

Identifying variables influencing the adoption of artificial intelligence big data analytics among SMEs in Jordan Pages 2615-2626 Right click to download the paper Download PDF

Authors: Belal Mathani, Hamid Safyyih Ajrash, Ahmad Barakat Dalaeen, Khaled Yousef Alshboul, Hazem Almahameed, Mohammad Haider Alibraheem, Amin Khalifeh, Mohammad Issa Alzoubi, Ahmad Y. A. Bani Ahmad

DOI: 10.5267/j.ijdns.2024.4.016

Keywords: TOE model, Relative advantage, Top management commitment, Complexity, External assistance

Abstract:
The research investigates the link between technology, organization, and environment, and the uptake of artificial intelligence among SMEs in Jordan. The objective is to get a deeper understanding of the factors that promote or hinder enterprises' use of artificial intelligence during the recruitment of leaders. A total of 295 participants, who were owners or managers in several SME sectors, manufacturing, including services, construction, and agriculture, were selected via judgmental sampling. Data collection was conducted utilizing a survey instrument, and the collected data was processed employing Smart PLS. The findings demonstrated a substantial correlation between attitude toward artificial intelligence uptake and factors such as relative advantage, complexity, top management commitment, and organizational preparedness. Nevertheless, factors like competitive pressure, external assistance, a favorable regulatory environment, compatibility, and staff flexibility do not significantly influence the attitude toward the uptake of artificial intelligence. In summary, these findings provide valuable insights for decision-making and resource distribution. They underscore the significance of factors such as relative advantage, complexity, top management commitment, and organizational readiness in achieving goals in the field of artificial intelligence. Additionally, they identify areas where efforts may not result in significant effects. The practical ramifications and future study paths are emphasized according to current technological needs.
Details
  • 0
  • 1
  • 2
  • 3
  • 4
  • 5

Journal: IJDS | Year: 2024 | Volume: 8 | Issue: 4 | Views: 1367 | Reviews: 0

 

® 2010-2026 GrowingScience.Com