Understanding Factors Influencing Whole-Process Consulting Service Quality: Based on a Mixed Research Method
To address the fragmentation in the engineering consulting industry, whole-process consulting (WPC) has undergone rapid development in China. Engineering consulting companies are actively transitioning towards WPC and aiming to enhance whole-process consulting service quality (WPCSQ). However, resea...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Buildings |
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| Online Access: | https://www.mdpi.com/2075-5309/15/2/255 |
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| author | Qinghong Cui Haoran Zhao Haiyang Zhang Xiancun Hu Guangbin Wang |
| author_facet | Qinghong Cui Haoran Zhao Haiyang Zhang Xiancun Hu Guangbin Wang |
| author_sort | Qinghong Cui |
| collection | DOAJ |
| description | To address the fragmentation in the engineering consulting industry, whole-process consulting (WPC) has undergone rapid development in China. Engineering consulting companies are actively transitioning towards WPC and aiming to enhance whole-process consulting service quality (WPCSQ). However, research on WPCSQ and its influencing factors is still lacking. This paper adopts a mixed research approach combining qualitative and quantitative methods. Initially, the grounded theory (GT) method is used to determine the influencing factors of WPCSQ, and the TEOK model is constructed. Then, Partial Least Squares Structural Equation Modeling (PLS-SEM) is utilized for model validation. The results show that WPCSQ is most affected by knowledge management and least affected by organizational factors. Based on the above analyses, recommendations for improving WPCSQ are provided from the viewpoints of engineering consulting companies and governments. These suggestions are aimed at fostering the healthy and sustainable progression of WPC. |
| format | Article |
| id | doaj-art-4aa88db315da4da0aeaf2be6bbfbd532 |
| institution | Kabale University |
| issn | 2075-5309 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj-art-4aa88db315da4da0aeaf2be6bbfbd5322025-01-24T13:26:22ZengMDPI AGBuildings2075-53092025-01-0115225510.3390/buildings15020255Understanding Factors Influencing Whole-Process Consulting Service Quality: Based on a Mixed Research MethodQinghong Cui0Haoran Zhao1Haiyang Zhang2Xiancun Hu3Guangbin Wang4School of Management Engineering, Qingdao University of Technology, Qingdao 266520, ChinaSchool of Management Engineering, Qingdao University of Technology, Qingdao 266520, ChinaSchool of Management Engineering, Qingdao University of Technology, Qingdao 266520, ChinaSchool of Design and the Built Environment, University of Canberra, Canberra 2601, AustraliaSchool of Economics and Management, Tongji University, Shanghai 200092, ChinaTo address the fragmentation in the engineering consulting industry, whole-process consulting (WPC) has undergone rapid development in China. Engineering consulting companies are actively transitioning towards WPC and aiming to enhance whole-process consulting service quality (WPCSQ). However, research on WPCSQ and its influencing factors is still lacking. This paper adopts a mixed research approach combining qualitative and quantitative methods. Initially, the grounded theory (GT) method is used to determine the influencing factors of WPCSQ, and the TEOK model is constructed. Then, Partial Least Squares Structural Equation Modeling (PLS-SEM) is utilized for model validation. The results show that WPCSQ is most affected by knowledge management and least affected by organizational factors. Based on the above analyses, recommendations for improving WPCSQ are provided from the viewpoints of engineering consulting companies and governments. These suggestions are aimed at fostering the healthy and sustainable progression of WPC.https://www.mdpi.com/2075-5309/15/2/255whole-process consultingquality of servicegrounded theorypartial least squares structural equation modelinginfluencing factorsmixed research method |
| spellingShingle | Qinghong Cui Haoran Zhao Haiyang Zhang Xiancun Hu Guangbin Wang Understanding Factors Influencing Whole-Process Consulting Service Quality: Based on a Mixed Research Method Buildings whole-process consulting quality of service grounded theory partial least squares structural equation modeling influencing factors mixed research method |
| title | Understanding Factors Influencing Whole-Process Consulting Service Quality: Based on a Mixed Research Method |
| title_full | Understanding Factors Influencing Whole-Process Consulting Service Quality: Based on a Mixed Research Method |
| title_fullStr | Understanding Factors Influencing Whole-Process Consulting Service Quality: Based on a Mixed Research Method |
| title_full_unstemmed | Understanding Factors Influencing Whole-Process Consulting Service Quality: Based on a Mixed Research Method |
| title_short | Understanding Factors Influencing Whole-Process Consulting Service Quality: Based on a Mixed Research Method |
| title_sort | understanding factors influencing whole process consulting service quality based on a mixed research method |
| topic | whole-process consulting quality of service grounded theory partial least squares structural equation modeling influencing factors mixed research method |
| url | https://www.mdpi.com/2075-5309/15/2/255 |
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