Development of a short questionnaire for measuring service quality perceptions

Domenge, Rogerio; Arciniega, Luis M.

doi:10.1007/s40622-015-0072-6

Cited by 6 publications

(6 citation statements)

References 21 publications

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“…Policy makers should value this kind of projects to broaden the market acceptance of industrialized buildings and the implementations of industrialization policies. Moreover, government invested projects should promote industrialization projects in practice [115][116][117]119,120]. (6) Business processes: Chinese construction industry is improving the adaption of industrialization, such as personnel training of qualifications and the adoption of engineering, procurement and construction (EPC) contracts.…”

Section: Discussionmentioning

confidence: 99%

“…Out of the 420 questionnaires issued, 327 were completed correctly. With an 80.15% (327/420 = 80.15%) response rate, the data collection met the requirement of sample size to analyze the common problems in economic and social areas [115,116].…”

Section: Data Collectionmentioning

confidence: 99%

“…According to Figure 2 in Section 2.4, we constructed the questionnaire and conducted its development with: (a) item analysis (T-test (p < 0.05) [115,116]); (b) reliability analysis (Cronbach's α > 0.80); (c) Item-2-Total Correlation analysis, the threshold value of which was conducted above than 0.2 [116]; (4) exploratory factor analysis (EFA) (KMO > 0.9 and Eigenvalue > 1); and (5) principle component analysis (PCA) with SPSS 22 software. In addition, we compared the opinions of early respondents with late respondents on the key constructs to determine whether there was non-response bias in the study.…”

Section: Data Collectionmentioning

confidence: 99%

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Positioning and Priorities of Growth Management in Construction Industrialization: Chinese Firm-Level Empirical Research

Zhang

Xie

2017

Sustainability

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Abstract:The purpose of this research is to quantitatively evaluate the growth phase, position, and priorities of the industrialization policy management of the construction industry at firm level. The goal is to integrate quantitative dynamics into the policy-making process for sustainable policy development in future China. This research proposes an integrated framework, including growth management model and industrial policy evaluation method, to identify the challenges of construction industrialization and policy management. The research applies the mixed system method, which includes entropy method and average score method, to analyze the growth stage and major impact indexes targeting 327 survey samples. The empirical results show that the proposed conceptual framework and policy evaluation method could effectively determine the growth position and directions of the construction industrialization. For verification purpose, the study uses the local industry data from Shaanxi Province, China. The calculation results substantiate that the construction industry is in the middle section of the third growth phase. The comparison of the results from statistical methods shows that the local construction industry still needs substantial effort in policy management to improve its sustainable industrialization level. As countermeasures, the policy priorities should concentrate on: (1) enhancing effective cooperation among universities, research institutions and enterprises; (2) improving actions towards technology transfer into productivity; and (3) encouraging market acceptance of construction industrialization. This research complements the existing literature of policy evaluation of construction industrialization. Moreover, it provides theoretical and operational steps on industry policy evaluation and growth management framework, with accurate and ample data analysis on firm-level survey. Researchers and policy makers can use this research for further extensions of policy management for construction industrialization.

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Section: Discussionmentioning

confidence: 99%

Section: Data Collectionmentioning

confidence: 99%

Section: Data Collectionmentioning

confidence: 99%

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Positioning and Priorities of Growth Management in Construction Industrialization: Chinese Firm-Level Empirical Research

Zhang

Xie

2017

Sustainability

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“…Overall, a total of 145 questionnaires were issued, of which 123 were completed correctly. With an 84.83% response rate, the data collection met the requirement of sample size (i.e., at least 100) in order to analyze the common problems in economic and social areas [65,66].…”

Section: Data Collectionmentioning

confidence: 99%

“…Following the prior research design shown in Figure 3 in Section 2.3, we developed a questionnaire with (a) item analysis (T-test (p< 0.05) [65,66]); (b) reliability analysis (Cronbach's α > 0.80); (c) item total correlation analysis, the threshold value of which was conducted between 0.3 and 0.5 [66]; (d) exploratory factor analysis (EFA) (KMO > 0.9 and Eigenvalue > 1); and (e) principle component analysis (PCA) with SPSS 22 software (Appendixs A-J). In addition, in order to determine whether nonresponse bias was present in the study, we compared early respondents with late respondents on the key constructs.…”

Section: Data Collectionmentioning

confidence: 99%

Analysis and Potential Application of the Maturity of Growth Management in the Developing Construction Industry of a Province of China: A Case Study

Zhang

Wang

2017

Sustainability

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Construction industry is one of the major drivers of the economic sustainability of China's provinces. An investigation of the status of the construction industry in China is needed to find out its maturity and health. The results of this investigation may help China define the impact factors required in order to promote the growth level of its construction industry. This research assesses the growth level of the construction industry in Shaanxi Province, China. This study utilizes both the original average score method and the newer entropy method to analyze the growth level of the construction industry based on its growth management model and growth drivers. An empirical survey of this research includes 123 construction companies in Shaanxi Province. The results show that the entropy method is better than the average score method to use when analyzing the maturity status of a local industry for future development. The maturity level of Shaanxi's construction industry lies on the second tier in a four-tier ranking system. The advanced professional skills of project management are critically needed for future growth. Brand building is the most important factor needed to drive up Shaanxi's construction industry. Standardization, knowledge management through lessons learned, and cost management for budget control by using information systems are required for Shaanxi's construction project management. The Excellent Project Management Model of China is often used in Chinese project knowledge management. After maturity analysis, China's local industries would be able to develop a sustainable strategy for optimizing their outcomes by removing the hurdles preventing future growth.

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Bancassurance and its antecedents to customer buying intentions

Devi¹

2020

1st International Conference on Sustainable Manufacturing, Materials and Technologies

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Development of a short questionnaire for measuring service quality perceptions

Cited by 6 publications

References 21 publications

Positioning and Priorities of Growth Management in Construction Industrialization: Chinese Firm-Level Empirical Research

Positioning and Priorities of Growth Management in Construction Industrialization: Chinese Firm-Level Empirical Research

Analysis and Potential Application of the Maturity of Growth Management in the Developing Construction Industry of a Province of China: A Case Study

Bancassurance and its antecedents to customer buying intentions

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