Research Article

Using Hybrid Model to Evaluate Performance of Innovation and Technology Professionals in Marine Logistics Industry

Table 5

Evaluation index weight and expert scoring results.

Indicators and weightsExcellentGoodMediumGeneralPoor

Job performance
(0.63)
Funding and technical profit
(0.75)
Research funding of national gift or related equipment (0.044)13321
New technology to reduce the cost of the contribution rate (0.12)23311
Project implementation conversion rate (0.258)13420
Scientific and technological achievements conversion rate (0.496)22321
Budget rate of research funding (0.082)14221
Customer satisfaction
(0.25)
Customer market share (0.83)23211
Customer complaint rate (0.17)32311

Work ability
(0.26)
Social influence competence
(0.2)
Number of papers by SCI, EI, and ISTP retrieval (0.114)34210
Number of published works (0.076)23320
Reputation in the industry (0.226)12322
Success rate of project application (0.532)24121
Teaching students’ satisfaction (0.052)32221
Core competence
(0.6)
Scientific research ability (0.311)23311
Keen insight and flexibility (0.152)22321
Logical thinking ability (0.152)21421
Innovation ability (0.469)33211
Business expansion ability (0.038)22222
Ability of studying development
(0.2)
Number of people entering the international academic conference (0.066)33211
Number of people studying abroad (0.132)24220
Number of training and mining ocean logistics staff (0.504)23410
Number of marine logistics lectures and participants (0.034)33310
Building of marine logistics team (0.264)24211

Work attitude
(0.11)
Job satisfaction
(0.75)
Confidentiality (0.29)23230
Sense of responsibility (0.49)43111
Enthusiasm for work (0.15)32122
Discipline (0.07)33121
Team cooperation
(0.25)
Sharing of knowledge (0.25)42211
Cooperation spirit (0.75)24310