Processing, Please wait...

  • Publisher Home
  • Home
  • ๐Ÿ”™ Back
  • ๐Ÿ“š Journals
    • โš™๏ธ IJIEC - Industrial Engineering Computations
    • ๐ŸŒ IJDNS - Data and Network Science
    • ๐Ÿงช CCL - Current Chemistry Letters
    • ๐Ÿ’น AC - Accounting
    • ๐ŸŽฏ DSL - Decision Science Letters
    • ๐Ÿš› USCM - Uncertain Supply Chain Management
    • ๐Ÿ—๏ธ JPM - Journal of Project Management
    • ๐Ÿฅ HE - Healthcare Engineering
    • ๐Ÿ“ˆ SCI - Scientometrica
    • ๐Ÿ”ฉ ESM - Engineering Solid Mechanics
    • ๐ŸŒฟ JFS - Journal of Future Sustainability
    • ๐Ÿ’ผ MSL - Management Science Letters
  • ๐Ÿ“ Submit Article
  • ๐Ÿ“Š Statistics
  • ๐Ÿ“‹ About
    • ๐Ÿ“„ About Us
    • ๐Ÿ“ฐ Blog
    • ๐Ÿ“ข News
    • ๐Ÿ“ง Contact
  • ๐Ÿ“บ Tutorial
  • Search:
  • Advanced Search

Growing Science » Authors » Soheila Sardar Donighi

โญ Highly Cited Articles

  • Jaya Algorithm
  • Rao Algorithm
  • TLBO Algorithm
  • ChatGPT and Blended Learning

Journals

  • IJIEC (840)
  • IJDS (1032)
  • DSL (759)
  • ESM (434)
  • CCL (563)
  • JPM (350)
  • AC (572)
  • JFS (106)
  • MSL (2658)
  • USCM (1104)
  • HE (54)
  • SCI (53)

๐Ÿ”‘ Keywords

Jordan(175)
Supply chain management(172)
Vietnam(154)
Customer satisfaction(124)
Performance(117)
Supply chain(115)
Artificial intelligence(108)
Service quality(101)
Competitive advantage(100)
SMEs(95)
Sustainability(94)
Tehran Stock Exchange(94)
optimization(88)
Financial performance(86)
TOPSIS(85)
Trust(85)
Genetic Algorithm(81)
Organizational performance(81)
Job satisfaction(81)
Social media(80)


» Show all keywords

โœ๏ธ Authors

Naser Azad(82)
Zeplin Jiwa Husada Tarigan(70)
Mohammad Reza Iravani(65)
Endri Endri(45)
Hotlan Siagian(43)
Muhammad Alshurideh(42)
Dmaithan Almajali(39)
Jumadil Saputra(37)
Muhammad Turki Alshurideh(35)
Ahmad Makui(33)
Sautma Ronni Basana(33)
Barween Al Kurdi(32)
Basrowi Basrowi(31)
Mohammad Khodaei Valahzaghard(30)
Haitham M. Alzoubi(30)
Ni Nyoman Kerti Yasa(30)
Hassan Ghodrati(30)
Shankar Chakraborty(29)
Sulieman Ibraheem Shelash Al-Hawary(28)
Mahmoud Allahham(28)


» Show all authors

๐ŸŒ Countries

1. Algeria (52)
2. Angola (2)
3. Argentina (22)
4. Armenia (2)
5. Australia (52)
6. Austria (2)
7. Bahrain (26)
8. Bangladesh (58)
9. Belarus (4)
10. Belgium (3)
11. Benin (2)
12. Benin Republic (1)
13. Bhutan (1)
14. Bosnia and Herzegovina (1)
15. Botswana (9)
16. Brazil (40)
17. Brunei (1)
18. Bulgaria (1)
19. Burkina Faso (1)
20. Cameroon (1)
Total: 121 countries

Show all countries
Sort articles by: ๐Ÿ“– Volume | ๐Ÿ“… Date | โญ Most Rates | ๐Ÿ‘๏ธ Most Views | ๐Ÿš€ Rising Stars | ๐Ÿ”— Citations (Scopus) | ๐Ÿ”ฅ Hot Papers
1.

Investigating the effective factors on customer loyalty on tourism Agencies using an e-marketing technique: A case study of Iranian tourism agencies Pages 377-388 PDF Download PDF

Authors: Mohammad Sabet, Kewmars Fallahi, Soheila Sardar Donighi

doi 10.5267/j.msl.2013.12.012

๐Ÿ”‘ Keywords: E-marketing, Loyalty, Navigation functionality, Perceived security, Satisfaction, Tourism, Transaction cost, Trust

Abstract:
The aim of this research is to determine and to assess the effective factors on customer loyalty, concerning the internet-purchase of products and services of Tehran tourism agencies. For this purpose, the standardized questionnaire was distributed among on-line internet customers of Tehran tourism agencies and finally 384 questionnaires were applied in analyzing the research hypotheses. The data obtained from customers were analyzed using confirmatory factor analysis technique and the structural equations modeling (SEM). The findings of the research with regard to the proposed model and its nine hypotheses from the highest to lowest route coefficients and hypothesis confirmation are respectively: the effect of customer loyalty with the route coefficient of 0.559; the effect of search capability with the route coefficient of 0.481; the effect of satisfaction on customer trust with the route coefficient of 0.388; the effect of transaction cost on customer satisfaction with the route coefficient of 0.321; the effect of search capability on customer trust with the route coefficient of 0.292; the effect of trust on customer loyalty with the route coefficient of 0.184; the effect of the perceived security on customer satisfaction with the route coefficient of 0.159. The above seven hypotheses have been confirmed and the effect perceived security effect on customer trust and the effect of transaction cost on customer trust with the route coefficient of 0.018 were finally rejected.
Details
  • 17
  • 1
  • 2
  • 3
  • 4
  • 5

Journal: MSL | Year: 2014 | Volume: 4 | Issue: 2 | Views: 2870

 
2.

Identification of effective factors on customer loyalty with mobile industry Pages 2265-2272 PDF Download PDF

Authors: Soheila Sardar Donighi, Somayeh Davarpanah

doi 10.5267/j.msl.2013.07.019

๐Ÿ”‘ Keywords: American Customer Satisfaction Model, Customer Expectations, Customer loyalty, Customer Satisfaction, Perceived Quality, Perceived Value, Price Tolerance and Customer Complaint, Repurchase Likelihood

Abstract:
Customers or clients are counted to be reasons for existence and continuation of life of every organization and, therefore, it is essential to review various aspects of customer satisfaction. Many customers may seem to be satisfied but they may switch to competitor companies for various reasons. Loyal customers constitute a major factor for organizational successes and there are many attempts to create loyal customers. The customer loyalty was defined as commitment of customers to deal with a particular organization or buy given goods repeatedly. During the present research, the researcher engages in the evaluation of factors effective on satisfaction and loyalty of customers and in the study of their interactions, using the famous American Model of Customer Satisfaction. Major variables of such pattern are as follows: customer expectations, perceived quality, perceived value, customer satisfaction, Repurchase Likelihood, Price Tolerance changes and customer complaint. In this study, 384 cell-phone users were randomly selected from different departments of North Tehran Branch of Islamic Azad University. Valuable data were gathered by closed response questionnaire. Afterward we derived eleven correlations between different parameters by using structural equation modeling. Finally, all of suppositions were confirmed by confidence level up to 95%. In addition, the SPSS and XLSTAT PLS software packages are utilized in the process and analysis of data and investigation of study's hypotheses and necessary analyses have been done.
Details
  • 0
  • 1
  • 2
  • 3
  • 4
  • 5

Journal: MSL | Year: 2013 | Volume: 3 | Issue: 8 | Views: 2248

 

® 2010-2026 GrowingScience.Com