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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.

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.

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.

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.

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.

The purpose of this paper is to develop and discuss a methodological approach for energy assessment and retrofitting of envelope systems in Mediterranean historical buildings, in order to ensure the desirable balance between improvement requirements and preservation principles.

The methodology is based on the assessment of historical districts at the site, building and component scales, the development of energy models of building-types that are highly representative, in terms of materials, construction techniques, typologies and performances, the identification of intervention priorities and the validation of compatible retrofitting solutions.

The methodology, applied to a representative Adriatic sea town in South Italy, shows the potentialities of innovative materials and technologies (aerogel, PCMs, etc.) as tools to achieve the improvement of the energy performances and the preservation of the original characters. Nevertheless, it shows how the preliminary qualification of the environmental, architectural, constructional and technological characteristics is paramount to support the identification of the current behavior of the building system and the transformation boundaries from the historical values.

The paper proves how assessment and intervention methods and tools, besides effective, compatible, low invasive and durable, should be geocluster oriented and performance based, thus with general reliability for the whole local context and suitable flexibility to be tailored to different specific situations, toward the definition of retrofitting micro-scale measures and macro-scale strategies that are replicable and scalable.

The Uniting Medically Supervised Injecting Centre (MSIC) opened in Sydney, Australia, in May 2001. Homelessness among people who inject drugs (PWID) in Australia has been increasing, and establishing how supervised injecting facilities (SIFs) might best support clients into housing is an important goal. The purpose of this paper is to update knowledge regarding the accommodation status of MSIC clients, thereby supporting a better understanding of the complex needs of these clients.

Client accommodation status at MSIC registration (first visit) and in a brief survey (conducted in May 2016) were compared; unstable accommodation was defined as rough sleeping, couch surfing, hostel, boarding house or crisis accommodation. The bivariate logistic regression analysis was used to explore the association between socio-demographics and accommodation status at both time points; a paired t-test was used to compare the visit records for those who reported stable and unstable accommodation in May 2016.

Of 232 clients who were present at MSIC during the week the Brief Survey was conducted, 107 participated. Most were male (79 per cent) with a mean age of 41.4 years. A total of 64 (60 per cent) identified as living in unstable accommodation; having increased from 40 per cent at the time of registration (first visit). There were significant positive associations between unstable accommodation status and unemployment, imprisonment and history of overdose, all measured at registration. In May 2016, unstable accommodation status was significantly associated with age of first injection and with unemployment status (as measured at registration); those living in unstable accommodation in May 2016 had a lower number of visits, a lower number of referrals to health and social services and a lower number of overdoses at MSIC than those living in a stable accommodation.

The rates of unstable accommodation among MSIC clients have been increasing. These findings highlight the importance of SIFs and drug consumption rooms as venue to address the essential needs of PWID, such as housing. The window of opportunity to support PWID who experience housing instability seems to be narrower than for those who live in stable accommodation.

Agility is the ability of an organization to adjust its supply chain tactics and operations to respond quickly against altering business environments such as fluctuating demand pattern, supply chain disruption and global competition. An agile organization must possess a promising capability of swiftly responding to dynamic conditions while being cost-effective without compromising the efficiency. Such high-performance adaptability necessitates the role of supply chain managers to maximize the agility of the supply chain through the efficient use of input resources. Therefore, the purpose of this study to reveal a new decision support tool that would allow the key decision-makers to maximize the agility of the supply chain while deploying the input resources more effectively.

In present study, an integrated approach of popular analytic hierarchy process (AHP) and goal programming (GP) has been adopted as a potential solution methodology. AHP has been implemented to allocate the local and global weights to decision variables, whereas GP incorporates the AHP weights into the desired model.

It was found that the proposed decision support tool restricts the value of the decision variables for maximizing the agility and optimizing the usage of input resources. The results obtained from the model validate the objective of achieving targeted agility level within the available resource limitations.

The decision support tool developed in the proposed study offers a systematic and effectively simple approach to supply chain managers with a goal of identifying the degree of focus under each decision variable in the respective manufacturing organizations.

A novel decision support tool has been developed known as an agility control system), which helps the decision-maker to achieve the required agility in the supply chain by controlling the decision variables.

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 paper aims to present an optimal prototyping technology for the manufacture of occlusal splints.

To carry out this study, a comparative technique was used to analyze models obtained by different prototyping techniques. Subsequently, further tests were carried out with respect to the manufacturing of splints by means of thermoforming in a vacuum. This involved an analysis of the most important variables such as prototype material, geometric accuracy, surface finish and costs.

It was found that there is a group of prototyping technologies that are suitable for the manufacture of the models used in the thermoforming of correction splints, the most appropriate technologies being based on ink jet printing (IJP-Objet), ultraviolet photo polymerization and fused deposition modelling due to the fact that they offer an optimal relationship between the cost and the quality of the model required for thermoforming.

The application of rapid prototyping techniques in medicine makes the production of physical models from three-dimensional medical image processing and their subsequent use in different specialties possible. It also makes preoperative planning processes, the production of prostheses and the preparation of surgical templates possible, thereby offering a higher quality of diagnosis, safer surgery and cost and time savings compared to conventional manufacturing technologies.

This paper suggests that there exists a group of prototyping technologies for the manufacture of splints that offer advantages over existing technologies. The results also suggest that, in many cases, the most expensive technology is not the most appropriate: there are other options that provide an optimal model in terms of the cost and the quality needed for thermoforming.