A New Systematic Approach to Vulnerability Assessment of Innovation Capability of Construction Enterprises

Exploring differences in level of construction innovation: an empirical analysis in China

Innovations can overcome constraints posed by resource depletion, increasing environmental and ecological protection concerns. There is considerable amount of innovation that occurs in the construction industry. Accordingly, construction innovation is receiving increasing attention in China. However, the provincial development level of construction innovation remains unclear. To address this gap, the present study employs data-driven measurement for the level of construction innovation. A total of 25 alternative indexes were selected based on the innovation ecosystem theory. Then, text preprocessing, statistical methods, and search statistics were employed to acquire index data. The indexes weights were determined through expert scoring and a cloud model. The quantitative measurement of the level of construction innovation was finally performed. Additionally, the exploratory results were revealed with the analyses of the overall, regional, and cluster. The results revealed that overall level of construction innovation in China is not high and regional distribution is uneven. Simultaneously, the level of construction innovation is consistent with local economic strength, and it is most sensitive to innovation output in regional level. Moreover, the spatial distribution of the level of construction innovation in China was showed, which has similarity with the characteristics of geographical location. The measurement system this study represents breakthroughs over traditional methods that rely on statistics, cases, or questionnaires, which can be applied to other research fields.

Linking Greenspace Ecological Networks Optimization into Urban Expansion Planning: Insights from China’s Total Built Land Control Policy

Greenspace ecological networks (GENs) optimization is an effective way to prevent landscape fragmentation and promote ecological processes. Built land sprawl is an important factor affecting this optimization. However, few studies have specifically analyzed the encroachments caused by existing built land on GENs. Given the insights from China’s total built land control policy, this study proposed a new idea of linking GENs optimization into urban expansion planning through land transformation. This idea was implemented in the Su-Xi-Chang area and integrated a series of methods, emphasizing the importance of built land encroachments removal for restoring the connectivity and quality of GENs. We identified that the built land encroached on GENs. Furthermore, we proposed to transfer the scattered rural/industrial land, whose amount was set as the land quota for urban expansion planning. Four scenarios of urban expansion were simulated based on China’s land use policies/practices and assessed by landscape metrics. The land transformation happened between rural and urban land. The main findings indicated that more inclusive urban expansion planning with consideration of the GENs optimization can be obtained. This study has practical contributions regarding GENs optimization and urban expansion planning for policymakers and our ideas of land transformation provide a reference for similar studies.

Simulating the Evolution Mechanism of Inner Innovation in Large-Scale Construction Enterprise with an Improved NK Model

The aim of this study is to simulate the self-organized evolution mechanism of inner innovation of large-scale construction enterprises (LSCE) under different contexts. Based on NK stochastic combinatorial optimization model with two parameters (N, K), this study proposes three modules—ambidexterity, punctuated equilibrium, and automation—to simulate the change behaviors of the inner innovation system. Furthermore, this study analyses the influence of factor correlation on inner innovation performance under discusses nine different combination situations. The research results show that (a) regardless of how the relationship strength changes, fitness increases with an increasing K value; and (b) the comparison of optimization modes show that the punctuated equilibrium mode can guarantee the long- and short-term inner innovation performance LSCE. This study therefore reveals the mutual effects of the factors in the inner innovation system in LSCE and provides an effective model for internal systems analyses in the construction industry and in other sectors.

Integrated Framework of Growth Management for Identification of Service Innovation Levels and Priorities

Growth management depends on an accurate understanding of an organizations’ current situation within the market in which it operates. Literature indicates that there is still inefficiency in quantitatively diagnosing the driving factors of service innovation and growth management. The purpose of this research is to identify the levels and priorities of sustainable growth management strategies with detailed measurements for industrial service innovation. The research focuses on the construction industry as the case context to scrutinize and compare various indexes and policy platforms for the evaluation of service innovation and the development of a diagnostic framework. The paper further identified the developmental obstacles of service innovation from 585 survey responses from construction enterprise representatives from Shanghai, Beijing and Xi’an in China, using average score method and entropy weight method. The data analysis identified the service innovation level and development priorities for the enterprises can assist in determining sustainable service innovation paths. The research then combined the competitive advantage characteristics method using a cluster analysis to develop a growth management framework of service innovation in the construction industry. The research results indicated that the majority of analyzed enterprises were in the second phase of their development, with clear policy opportunities for increasing levels of service innovation. However, the results also indicate the majority of sample enterprises were not encouraging the efforts of employees to strive for innovation and were lacking appropriate investment funding towards service-related innovation. These two weaker aspects offer a starting point for firm-level managers to consider when aiming to improving service innovation. The paper contributes by advancing the quantitative evaluation of growth management policies for service innovation. Furthermore, it provides possible measures for improving service innovation with particular emphasis on service innovation in project-based construction enterprises. Finally, it offers a practical diagnostic tool to improve industry level growth via increased service innovation.