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As an emerging visualization technology, virtual reality (VR) falls into the dilemma of having great potential but a low adoption degree in the architectural, engineering and construction (AEC) industry. However, few studies paid attention to studying barriers affecting VR’s adoption and their inner mechanisms. This makes AEC users hard to catch the key points for VR’s implementations. This study aims to get a clear structure of these barriers and provide insights for the improvement.

First, 12 major VR-AEC adoption barriers were identified by a systematic literature review and expert interviews (EI). Second, EI and similarity aggregation method were conducted to achieve reliable barrier relationships. Third, interpretive structural modeling was used to establish a multi-level model for barriers. Finally, ten crucial barriers were targeted with a comprehensive strategy framework.

The findings help AEC stakeholders get a thorough understanding of the VR-AEC adoption barriers. Besides, the inner mechanism among barriers is revealed and analyzed, followed by a systematic strategy framework. It is anticipated that users could conduct more effective VR-AEC promotions in the future.

This paper is the first to propose a comprehensive literature review on the VR-AEC adoption barriers. In addition, this paper is novel in building a hierarchy model that explores barriers’ inner mechanism, where structural strategies are proposed.

China’s economy is transforming at a brisk pace. A partially dismantled command economy and introduction of competition have fueled consumer demand for a greater selection of innovative new products in the retail market. The challenge for retail buyers is to adjust their procurement processes to respond to consumer needs in an efficient and effective manner. This study examines factors influencing buyer‐supplier relationships in a transition economy. We present a model to explain the factors driving retail buyer dependence on suppliers. We find that retailer evaluation of supplier credibility mediates the relationship between retailer perceptions of a supplier ability to add value to its business and the ability to achieve its desired goals. In part, this is due to the supplier’s market orientation. Interestingly, guanxi ties have no impact on the retailer perceptions of the supplier credibility, but have a positive affect on retailer dependence on its supplier partners.

Seeks to summarize relevant literature reporting on western research and to use a grounded theory approach to form the model. Also to develop a Chinese retailer new product decision process model. And consider unique aspects of Chinese culture and the ongoing economic transitions.

Foreign producers have little knowledge about the internal operations of China's chain stores. As China's markets open to the world, an understanding of the ways in which retailers and suppliers interact in China – especially the ways in which they make product selection decisions – will be crucial to companies expanding into this area of the world.

Results are presented from in‐depth interviews with retail food buyers in China. Interviews were conducted during 1999‐2000 in Shanghai and Beijing. The interview data are used to develop a model of buyer‐seller relationships that lends itself to a better understanding of the complexities – cultural and market‐related – of retailer‐supplier relationships in China.

Since, China is a vast country this study forms a small part of the process in understanding its buyer‐seller interactions.

The literature, including grounded theory and the research undertaken with the sample of respondents highlight the potential gains from understanding the nature of Guanxi and the culture of China. Managerial implications are discussed.

The study investigated buyer‐seller relationships within the Chinese market. When Chinese food retailers make decisions on new product acceptance, their criteria are similar to those of food retailers reported in research focused on western society. Supplier role performance, price, trade assistance, and relationship with supplier are primary considerations; these criteria support results from western literature.

The purpose of this study is to compare two models, traditional‐ and performance‐based, of Japanese retailers' channel relationships. The traditional model proposes Japanese retailers' long‐term orientation with their supplier is an antecedent of Japanese retailers' trust and dependence on the supplier. The performance model, on the other hand, proposes significant influences of suppliers' role performance and dependence on channel relationships.

Data were collected from Japanese department store buyers and specialty store buyers. A total of 141 cases were analyzed using the EQS structural equation modeling software.

Results show that the traditional model had a higher explanatory power than the performance model, which indicates the strong influence of culture on Japanese channel relationships.

Some measures have relatively poor psychometric properties. A further study should refine these measurements by exploring the meanings of these constructs from the cultural context.

This study provides insight into how cultural influences are embedded in distribution channel relationships.

The purpose of this paper is to provide an investigation of market orientation of retailers in China, an emerging economy. Several predictors of Chinese retailers' market orientation are examined.

Using survey data collected from 99 retailers in China, the paper tests the hypothesized relationships using a multiple regression model.

The paper finds that perceived supplier market orientation (SMO), firm size, and ownership are predictors of retailer market orientation (RMO). The results of this paper suggest that market orientation is perceived as important and is being adopted by retailers with varying ownerships and structures across China.

The study has several limitations including sample, sample size, and single‐respondent design. Nevertheless, the paper depicts a contemporary picture of Chinese retailers' adoption of market orientation.

The findings of this study provide both retailers and suppliers strategies for improving market orientation and insights for effective channel management.

The paper focuses on retailer perspectives with the goal of determining the value of assessing the SMO; results from this study provide support for a link between the extent of RMO and how market‐oriented behavior coincides with perceived SMO.

With the fierce competition in a knowledge economy, knowledge-intensive enterprises (KIEs) make technological progress in their catching-up processes through implementing product innovation and process innovation. In this study, the aim is to understand the determinants of enterprise innovation type in China's catch-up environment. Further, this paper intends to deal with two related questions. First, what effect does the internal knowledge base have on KIEs' technology innovation activities? Second, considering the technology gap and technology development speed, what are the different impacts of the knowledge base on the type of technology innovation activities?

This paper collected data from 212 KIEs in China through a two-stage questionnaire survey, combined with statistical data for research. The hypothesis was tested by regression analysis. Specifically, descriptive statistics and regression analysis are introduced to test the hypothetical relationship between the knowledge base and technology innovation. Meanwhile, multiple regression is used to test whether there is any difference in the influence of technology gap and technology development speed on enterprise knowledge base and technology innovation. Finally, the corresponding robustness tests are done.

This study finds that in a sample of Yangtze River Delta KIEs, firms' knowledge base influences innovation types. Specifically, the knowledge base width (KBW) and knowledge base depth (KBD) positively influence process innovation, and KBD positively affects product innovation. Regarding the effects of catch-up context factors on KIEs’ innovation choice, a wide technology gap tends to positively influence product innovation in industries with high levels of KBW. Moreover, when technology development speed is high, its potential positive influence on process innovation will be more significant for industries with deeper knowledge bases.

This paper fills the research gap that existing studies ignore the relationship between types of technology innovation and knowledge base dimensions, especially for KIEs. First, this paper deepens the understanding of the impact mechanism of KIEs' existing knowledge base on innovation activities; the unique use of resources by enterprises is the basis of enterprises' competitive advantage and will become enterprises' competitive advantage. Second, this study indicates that against different backdrops of technology gap and technology development speed, enterprises with different knowledge bases will adopt different types of technology innovation activities. Third, this paper shows that a wider technology gap provides broader innovation space, so the technology gap plays a pulling role in KBW and product innovation, thus pushing forward enterprises' technological catch-up.

The pulsed electro-acoustic (PEA) method is widely applied for space charge measurement in solid dielectrics. The signals, however, can be seriously distorted during transmission, especially in non-planar specimens. The aim of this work is to find an efficient algorithm to correctly recover the space charge profile for different types of specimens.

The distortion can be associated with both geometry and material (attenuation and dispersion). Hence the recovery algorithm consists of two parts respectively. The influences of geometries, causing the divergences of electric force and acoustic waveform, can be corrected by sets of factors. The attenuation and dispersion of the material can be suppressed based on the transfer function matrix in frequency domain, which could be obtained from calibration.

A general algorithm applicable to three kinds of specimens (single-layer, multi-layer and coaxial-geometry dielectrics) has been proposed. Compared with the other two algorithms in literature, the present one offers the most accurate solution while taking relatively shorter time. In addition, this algorithm is applied on signals measured from a planar LDPE sample and the results show that the new algorithm is fairly effective with excellent stability in a real system.

As one of the most accurate algorithms, the present one is theoretically one third quicker than the others. This algorithm would be helpful in applications calling for large calculations, i.e. 3-D imaging of space charge distribution in XLPE cable.

The paper aims to know about energy condition’s impacts on inflation comprehensively.

This paper constructs China’s energy condition index (ECI) by bringing in three variables (China’s energy price, consumption and production) based on the financial condition index.

The result of empirical analysis shows that the index can predict China’s inflation well.

China’s ECI can predict China’s inflation well.