Main factors affecting the online service satisfaction -an empirical study in China

E-service is the integration of business processes, policies, procedures, tools, technologies, and human efforts to facilitate both assisted and unassisted customer services in using the Internet and other networks. To examine factors affecting user satisfaction with e-services, a survey was conducted using a questionnaire. The questionnaire was based partially on existing studies, and was validated by a panel of researchers and industry experts. More than 700 usable responses to the questionnaire were collected and analyzed. The results showed that user satisfaction with e-services is correlated with perceived convenience, users' skills and experiences, and perceived security.

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An examination of the main factors affecting trust/commitment in supplier-dealer relationships: an empirical study of the Swedish wood industry

Measuring Business Excellence ◽

10.1108/mbe.2001.26705daf.012 ◽

2001 ◽

Vol 5 (4) ◽

Keyword(s):

Empirical Study ◽

Wood Industry ◽

Factors Affecting ◽

Main Factors

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An examination of the main factors affecting trust/commitment in supplier‐dealer relationships: an empirical study of the Swedish wood industry

The TQM Journal ◽

10.1108/09544780010325831 ◽

2000 ◽

Vol 12 (4) ◽

pp. 245-266 ◽

Cited By ~ 114

Author(s):

Mosad Zineldin ◽

Patrik Jonsson

Keyword(s):

Empirical Study ◽

Wood Industry ◽

Factors Affecting ◽

Main Factors

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Empirical Study of Credit Rating’s Factors Based on the Buyer’s Perspective in the Netshop of Small and Micro Enterprises in TianJin

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.697.499 ◽

2014 ◽

Vol 697 ◽

pp. 499-503

Author(s):

Chen Xing Bai

Keyword(s):

Factor Analysis ◽

Regression Analysis ◽

Empirical Study ◽

Credit Rating ◽

Specific Structure ◽

Factors Affecting ◽

Main Factors ◽

Micro Enterprises

Researching on the factors affecting the level of credit rating in the netshop of small and micro enterprises in TianJin, the seven main factors are extracted through factor analysis; And then the paper does the regression analysis between the seven main factors and the credit rating levels, so does between each of the main factors and their specific structure. Finally, it calculates the order of importance and the value of impacting. So it can provide a reference for the network shop of small and micro enterprises to enhance the credit rating level.

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