Processing, Please wait...

  • Home
  • About Us
  • Search:
  • Advanced Search

Growing Science » Authors » Alireza Mosayebi

Journals

  • IJIEC (747)
  • MSL (2643)
  • DSL (668)
  • CCL (508)
  • USCM (1092)
  • ESM (413)
  • AC (562)
  • JPM (271)
  • IJDS (912)
  • JFS (96)
  • HE (32)
  • SCI (26)

Keywords

Supply chain management(166)
Jordan(161)
Vietnam(149)
Customer satisfaction(120)
Performance(113)
Supply chain(111)
Service quality(98)
Competitive advantage(95)
Tehran Stock Exchange(94)
SMEs(87)
optimization(86)
Trust(83)
TOPSIS(83)
Financial performance(83)
Sustainability(82)
Job satisfaction(80)
Factor analysis(78)
Social media(78)
Artificial intelligence(77)
Knowledge Management(77)


» Show all keywords

Authors

Naser Azad(82)
Mohammad Reza Iravani(64)
Zeplin Jiwa Husada Tarigan(63)
Endri Endri(45)
Muhammad Alshurideh(42)
Hotlan Siagian(39)
Jumadil Saputra(36)
Dmaithan Almajali(36)
Muhammad Turki Alshurideh(35)
Barween Al Kurdi(32)
Ahmad Makui(32)
Basrowi Basrowi(31)
Hassan Ghodrati(31)
Mohammad Khodaei Valahzaghard(30)
Sautma Ronni Basana(29)
Shankar Chakraborty(29)
Ni Nyoman Kerti Yasa(29)
Sulieman Ibraheem Shelash Al-Hawary(28)
Prasadja Ricardianto(28)
Haitham M. Alzoubi(27)


» Show all authors

Countries

Iran(2184)
Indonesia(1290)
India(788)
Jordan(786)
Vietnam(504)
Saudi Arabia(453)
Malaysia(441)
United Arab Emirates(220)
China(206)
Thailand(153)
United States(111)
Turkey(106)
Ukraine(104)
Egypt(98)
Canada(92)
Peru(88)
Pakistan(85)
United Kingdom(80)
Morocco(79)
Nigeria(78)


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

Applying fuzzy delphi and best-worst method for identifying and prioritizing key factors affecting on university-industry collaboration Pages 107-118 Right click to download the paper Download PDF

Authors: Alireza Mosayebi, Shahryar Ghorbani, Behzad Masoomi

DOI: 10.5267/j.dsl.2019.7.001

Keywords: University- Industry collaboration, Technology, Incubator, University affiliated research institutes

Abstract:
The collaboration between the universities and industries is currently in the focus of attention globally. Governments, universities, and industries are interested in good and effective collaboration, which would be beneficial for all parties. To foster University-Industry Collaboration, and to help transfer the knowledge and technology between these two parties, academics, politicians and companies are paying attention to science and technology policies more than ever. In this study, the factors affecting the improvement of University-Industry Collaboration are identified and prioritized. In the first step, 20 factors are identified and 12 factors are selected using the Fuzzy Delphi method. Then, using the BWM method, prioritizing the extracted factors is determined for industry sponsorship of the university research. Finally, based on the results, the discussion is conducted and six major strategies are presented to improve this relationship.
Details
  • 51
  • 1
  • 2
  • 3
  • 4
  • 5

Journal: DSL | Year: 2020 | Volume: 9 | Issue: 1 | Views: 2015 | Reviews: 0

 
2.

Investigating the effect of emotional and social stimulants of store atmosphere and prices on the customers' satisfaction and loyalty Pages 1521-1528 Right click to download the paper Download PDF

Authors: Seyyed Hamid Khodadad Hosseini, Alireza Mosayebi, Jalal Khorram

Keywords:

Abstract:
Nowadays, it is impossible for retailers to establish a competitive and successful store in the marketplace through making a distinction in the outer facades of their stores, altering the pricing system, and diversifying the products offered in the store, due to the intense competition emerged in retailing markets. This leads the retailing markets to a new concept of marketplace, which is called “teaser retailing”. In this research, we first explain some related variables such as emotional and social stimulants, emotional-perceptual indicators, price of product, customer satisfaction, and customer loyalty. Then we investigate the impact of emotional and social stimulants and price of products on emotional-perceptual indicators as well as the relationship between emotional-perceptual indicators and customer satisfaction, and finally the relationship between customer satisfaction and his/her loyalty. The first hypothesis was associated with the effect of the store emotional stimulants on emotional-perceptual indicators and it was not confirmed. After investigation of the second hypothesis, it was cleared that the store social stimulants affects the buyer & apos; s emotional-perceptual indicators in purchasing point. On the other hand, the third hypothesis indicated that price of products affects the buyer & apos; s emotional-perceptual indicators in purchasing point. The fourth hypothesis indicated that emotional-perceptual indicators affect the customer satisfaction, and finally the fifth one indicated that the customer satisfaction leads to his/her loyalty.
Details
  • 0
  • 1
  • 2
  • 3
  • 4
  • 5

Journal: MSL | Year: 2013 | Volume: 3 | Issue: 6 | Views: 2970 | Reviews: 0

 

® 2010-2026 GrowingScience.Com