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In this paper, a high-frequency radar test system was used to collect the data of clean ballast bed and fouled ballast bed of ballasted tracks, respectively, for a quantitative evaluation of the condition of railway ballast bed.

Based on original radar signals, the time–frequency characteristics of radar signals were analyzed, five ballast bed condition characteristic indexes were proposed, including the frequency domain integral area, scanning area, number of intersections with the time axis, number of time-domain inflection points and amplitude envelope obtained by Hilbert transform, and the effectiveness and sensitivity of the indexes were analyzed.

The thickness of ballast bed tested at the sleep bottom by high-frequency radar is up to 55 cm, which meets the requirements of ballast bed detection. Compared with clean ballast bed, the values of the five indexes of fouled ballast bed are larger, and the five indexes could effectively show the condition of the ballast bed. The computational efficiency of amplitude envelope obtained by Hilbert transform is 140 s·km⁻¹, and the computational efficiency of other indexes is 5 s·km⁻¹. The amplitude envelopes obtained by Hilbert transform in the subgrade sections and tunnel sections are the most sensitive, followed by scanning area. The number of intersections with the time axis in the bridge sections was the most sensitive, followed by the scanning area. The scanning area can adapt to different substructures such as subgrade, bridges and tunnels, with high comprehensive sensitivity.

The research can provide appropriate characteristic indexes from the high-frequency radar original signal to quantitatively evaluate ballast bed condition under different substructures.

This paper aims to examine the influence of individual and combined effects of the mode focused on scientific and technological-based innovation (STI) and the mode based on learning by doing, by using and by interacting (DUI) on firms’ innovation performance and whether information technology (IT) moderates the relation between different innovation modes and firms’ innovation performance.

A conceptual model linking innovation modes, IT (including IT infrastructure and the frequency of IT usage) and firms’ innovation performance was developed, and the proposed hypotheses were tested empirically using World Bank’s micro survey data collected from manufacturing firms in an emerging market (China).

The results show that individually both STI mode of innovation and DUI mode of innovation have a significant positive effect on firms’ innovative performance, whereas the combined STI and DUI mode of innovation has a negative impact. IT infrastructure moderates the relation between STI (or STI and DUI) mode of innovation and firms’ innovation performance, while the frequency of IT usage has no moderating effects on the relationship between any kind of innovation modes and firms’ innovation performance.

Although some results are quite different from what is expected, these are insightful for both academics and policymakers. The use of cross-sectional data has its limitations. Therefore, future studies based on longitudinal data should be conducted. This study points toward the need to conduct the meta-analysis to better explain the existing inconsistencies in the findings of relevant quantitative studies.

This study provides firm managers with practical implications. The conclusions of this study imply that the impact of the combined STI and DUI mode of innovation is likely to be contextual, so firms should make contingent decisions on whether to engage in STI mode of innovation and DUI mode of innovation simultaneously according to their own organizational conditions. Moreover, face-to-face contacts are particularly important when a firm engages in DUI mode of innovation. In addition, the focus of IT strategy of firms engaged in STI mode of innovation should be on perfecting their IT infrastructure rather than increasing the frequency of IT usage.

This paper provides new evidence for the relation between business innovation modes and firms’ innovation performance, and it is one of the few empirical studies that focus on emerging markets. More importantly, this paper proposes a persuasive explanation framework for understanding the heterogeneous impacts of the combined STI and DUI mode of innovation on firms’ innovation performance. This is the first study that examines the moderating effect of IT on the relationship between business innovation modes and a firm’s innovation performance.

Smallholders are essential in ensuring food security; however, smallholder-dominated food production often involves high resource-environmental costs. This study analyzed the factors that differentiate horticultural practices, willingness to adopt technology and social networks between optimized practices (OPT) and farmer practices (FP) to provide localized and systematic solutions for the sustainable apple production.

To explore the approach of smallholder-dominated sustainable apple production, 257 apple producers in the Bohai Bay region, a major apple planting area in China, were investigated. Life cycle assessment (LCA), emergy analysis and social network analysis methods were used for evaluation.

The results showed that the net economic profit and emergy sustainability index (ESI) in OPT was 15.8 × 104 RMB·ha-1 and 1.2, respectively, which were 126.9 and 128.0% higher than FP. In contrast, greenhouse gas (GHG) emissions under OPT was 29.3% lower than those under FP. OPT has a higher percentage of adoption of scientific fertilizer application and water-saving irrigation technologies compared to FP. OPT has strong learning abilities, more social resources (such as technical training and sharing technical experience with others) and connections with stakeholders in the apple supply chain. Optimizing smallholders' social capital, willingness to adopt technology, behavioral willingness and technological awareness can promote sustainable apple production.

Considering the horticultural practices employed by smallholders in conjunction with their social networks, these factors contributed to the transition of smallholder-led apple production toward sustainability. The findings provided viable options and a theoretical basis for smallholder-dominated crop production to move toward sustainability, with significant implications for policymakers.

The purpose of this paper is to propose a method for selecting the position and attitude trajectory of error measurement to improve the kinematic calibration efficiency of a one translational and two rotational (1T2R) parallel power head and to improve the error compensation effect by improving the properties of the error identification matrix.

First, a general mapping model between the endpoint synthesis error is established and each geometric error source. Second, a model for optimizing the position and attitude trajectory of error measurement based on sensitivity analysis results is proposed, providing a basis for optimizing the error measurement trajectory of the mechanism in the working space. Finally, distance error measurement information and principal component analysis (PCA) ideas are used to construct an error identification matrix. The robustness and compensation effect of the identification algorithm were verified by simulation and through experiments.

Through sensitivity analysis, it is found that the distribution of the sensitivity coefficient of each error source in the plane of the workspace can approximately represent its distribution in the workspace, and when the end of the mechanism moves in a circle with a large nutation angle, the comprehensive influence coefficient of each sensitivity is the largest. Residual analysis shows that the robustness of the identification algorithm with the idea of PCA is improved. Through experiments, it is found that the compensation effect is improved.

A model for optimizing the position and attitude trajectory of error measurement is proposed, which can effectively improve the error measurement efficiency of the 1T2R parallel mechanism. In addition, the PCA idea is introduced. A least-squares PCA error identification algorithm that improves the robustness of the identification algorithm by improving the property of the identification matrix is proposed, and the compensation effect is improved. This method has been verified by experiments on 1T2R parallel mechanism and can be extended to other similar parallel mechanisms.

Building on the broaden-and-build theory and incorporating a self-regulatory perspective, this study examines the relationship between trait gratitude and subjective career success and investigates the mediating roles of growth mindset of work and career network breadth.

Time-lagged data were collected in three waves from a sample of 314 employees in China. Hypotheses were tested using structural equation modeling.

The findings demonstrate that trait gratitude is positively related to SCS, mediated by growth mindset of work as an indicator of psychological resources and career network breadth as an indicator of social resources. Trait gratitude is more strongly associated with network breadth (i.e., social resources) than with growth mindset (i.e., psychological resources).

Organizations may find trait gratitude an applicable addition to the selection criteria during the recruitment process.

By identifying trait gratitude as an antecedent of SCS and revealing its underlying mechanisms, the current study points to a new perspective on the study of career success.

The purpose of this paper is to evaluate the agility performance level of manufacturing supply chains using Taguchi loss functions (TLFs) and design of experiment (DoE).

The proposed methodology is used for capturing the various agility losses using appropriate TLFs and the aggregated agility loss is calculated at different situations using DoE. The aggregated agility loss is analysed for comparing manufacturing supply chain agility performance.

The proposed methodology was applied to three Indian auto component supply chains, i.e. X, Y and Z. In total, 27 experiments were carried out using DoE and obtained results show that agility performance level is the highest for X followed by Z, whereas agility performance level is the least for Y.

The proposed methodology is generic in nature and can be applied to a specific environment for comparing performance of different supply chains. The user has to identify the relevant agility enablers and capture the appropriate TLFs for the specific environment in which agility performance level has to be calculated and compared.

The proposed methodology provides an effective approach for evaluating agility performance. It can be used by the supply chain manger to assess the supply chain agility performance level of own company with its competitors. These comparisons will help the manufacturing company to find the areas where it should focus.

Many studies and researches related to implementation and evaluation of agile manufacturing are reported in the literature but very few studies are available for evaluating the supply chain agility performance. This study will definitely provide a guideline for measuring and comparing manufacturing supply chain agility performance in general and Indian automotive supply chain in specific.

Banks are the major suppliers of external funds for companies in China. The purpose of this paper is to examine whether Chinese banks exercise effective monitoring over borrowers in two lending decisions, including loan interest rates and loan renewals.

Using a sample of Chinese public industrial firms from 2000 to 2005, the authors perform multivariate regression analysis to investigate whether banks adjust their loan interest rates and consider loan renewal decisions in response to borrowers financial performance. The authors also examine these bank lending decisions before and after 2003, when the major banking reforms started to take place in China.

A negative relation was found between the loan interest rate spread and the financial performance of borrowers. However, a negative relation was found between loan renewals and the financial performance of borrowers, consistent with firms in financial difficulties being in need of more funding and hence more likely to get its bank loans renewed. Additionally, it was found that the factors banks consider when making loan decisions vary before and after 2003.

The authors' findings suggest that Chinese banks play a limited role in monitoring and disciplining borrowers through adjustments of loan interest rates, and that their loan renewal decisions for firms with poor financial performance highlight banks' financing, instead of monitoring role in this transition economy. These findings provide empirical evidence on bank governance in a transition economy dominated by state‐owned enterprises. The paper contributes to the literature by constructing an alternative loan renewal measure using financial statement information.

The adaptability of multi-functional industrial buildings can be an important factor in their reuse. This utility requires the evaluation of factors that are effective apart from physical interventions. Therefore, this study used a combined method to investigate the factors affecting the reuse of the case studies of Iran and their adaptation to the theories proposed in the field of industrial heritage. This study aims to achieve effective strategies in adaptive reuse of industrial heritage buildings.

Hence, six factors in the economic, social, technological, environmental and legal sectors were analyzed based on PESTEL analysis and the interactions of the proposed matrix factors were evaluated. The results from this evaluation were integrated based on conceptual similarities and examined by SWOT technique as the main factors. Finally the criteria obtained from SWOT analysis has been approved by a Delphi survey.

Consequently, the interaction of the findings to determine the strategy was multiplied in a matrix and the resulting concepts were identified. Finally, 23 strategies were extracted as the factors affecting the reuse of industrial heritage buildings and dealing with future issues. According to the results, the most important strategies are government policies and interventions. Also, the determination of the status of ownership, supervision by the Ministry of Cultural Heritage over the preservation and revitalization of industrial heritage buildings and intervention policies for defining the uses related to an industrial building fall into this category.

The findings of this study indicate that an adaptive view of the above strategies and the indicators of each factor could affect the adaptive reuse of the industrial heritage.

The purpose of this study is to design a zero-energy home, which is known to be capable of balancing its own energy production and consumption close to zero. Development of low-energy homes and zero-net energy houses (ZEHs) is vital to move toward energy efficiency and sustainability in the built environment. To achieve zero or low energy targets in homes, it is essential to use the design process that minimizes the need for active mechanical systems.

The methodology discussed in this paper consists of an interfacing building information modeling (BIM) tool and a simulation software to determine the potential influence of phase change materials on designing zero-net energy homes.

BIM plays a key role in advancing methods for architects and designers to communicate through a common software platform, analyze energy performance through all stages of the design and construction process and make decisions for improving energy efficiency in the built environment.

This paper reviews the literature relevant to the role of BIM in helping energy simulation for the performance of residential homes to more advanced levels and in modeling the integrated design process of ZEHs.

This study aims to explore value creation through intangibles in corporations, taking into consideration the endogenous nature of managerial decisions. It is stated that intangibles bring extra information asymmetry into a company and make managers and investors’ goals less aligned.

A theoretical model is elaborated and empirically tested on the assumption that managers, while investing in intangibles, simultaneously make a company competitive and attractive to investors. The authors use a conceptual model of endogenous value creation to test how intangibles affect outperforming of a company and provoke the expectations of investors. The research is carried out on a sample of more than 1,650 European companies covering the period from 2004 to 2011. Structural equation modelling is applied for the purposes of empirical analysis.

The authors reveal a diverse impact of intangibles on outperforming of a company measured by economic value added and its ability to create market value. The study discovers that managers are prone to indicate positive signals to investors rather than create sustainable competitive advantages.

This research emphasizes on the particular importance of awareness of policymakers, namely, companies’ top managers, about the outcomes of their decisions. Decision-making in public companies should involve as much deliberation as possible about the potential impact of what is decided.

This work contributes primarily to the field of corporate finance in companies that use intangibles. The endogenous process of value creation is modelled and tested. As a result, a number of essential problems in agent relationships in intangible-intensive corporations are discovered.