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In order to improve the robustness of bare-steel and composite structures in fire, a novel axially and rotationally ductile connection has been proposed in this paper.

The component-based models of the bare-steel ductile connection and composite ductile connection have been proposed and incorporated into the software Vulcan to facilitate global frame analysis for performance-based structural fire engineering design. These component-based models are validated against detailed Abaqus FE models and experiments. A series of 2-D bare-steel frame models and 3-D composite frame models with ductile connections, idealised rigid and pinned connections, have been created using Vulcan to compare the fire performance of ductile connection with other connection types in bare-steel and composite structures.

The comparison results show that the proposed ductile connection can provide excellent ductility to accommodate the axial deformation of connected beam under fire conditions, thus reducing the axial forces generated in the connection and potentially preventing the premature brittle failure of the connection.

Compared with conventional connection types, the proposed ductile connection exhibits considerable deformability, and can potentially enhance the robustness of structures in fire.

A component-based model for fin-plate connections has been developed to study the robustness of simple beam-to-column connections at elevated temperatures. The key aspect of this component method is the characterisation of the force-displacement properties of each active component at any temperature, represented by a non-linear "spring". The prescribed temperature-dependent characteristics of any given bolt row are governed by the failure mechanism of the weakest component, based on experimental and analytical findings. A major additional complication involves force reversal in components, which may occur because of temperature change, without any physical reversal of displacement. The Masing Rule has been adapted to incorporate this effect for particular force directions. To account for the bolt slip phases, force transitions between tension and compression take place only when positive contact between a bolt and the edge of its bolt hole is re-established. The results of high-temperature tests on connections have been used to substantiate the developed component model. The component-based connection model has also been used to study joint behaviour in structural sub-frame analyses. This approach will enable more valid performance-based assessment of the overall responses of connections, including their robustness, in design fire scenarios.

The purpose of this paper is to evaluate the reliability of individual software components in terms of the probability that each software component performs its intended functionality successfully. The overall software system reliability is evaluated.

This paper incorporates the reliability behavior of component‐based software system using Markov process.

It is found that the component‐based software system reliability increases as the component reliability increases.

This paper explores new directions in evaluating the reliability of component‐based software systems for software reliability and offers practical help to researchers and software industries in reliable software development. The proposed software simulation technique will act as a tool for the software quality assurance team for evaluating the reliability of component‐based software systems.

Personnel turnover entails considerable costs and is a major problem for the call center industry. By modifying the job demands-resources model, this study aims to examine how emotional exhaustion and organizational pride affect turnover intentions. In addition, it investigates how emotional exhaustion and organizational pride are formed by job demands and job resources and how gender and organizational tenure moderate the model.

The paper surveyed 252 call center agents and tested the research hypotheses with component-based structural equation modeling. Two multi-group analyses clarify the proposed moderating effects of gender and organizational tenure.

Emotional exhaustion and organizational pride essentially determine turnover intentions. Organizational pride, which has received little attention in related research, plays a central role. Two job demands and three job resources strongly influence emotional exhaustion and organizational pride, respectively. Gender and organizational tenure moderate several effects.

This study is based on a sample of call center agents from three different call centers in one country. Therefore, the generalizability of the findings has to be tested. Furthermore, the paper examines turnover intentions, which are good predictors of turnover behavior. Nevertheless, further research should investigate the relationship between the variables and actual turnover. Moreover, the model included six different job determinants. Future research should test the proposed model with other job demands and resources.

Emotional exhaustion and organizational pride substantially affect turnover intentions. Call center managers should protect employees from emotional exhaustion and enhance organizational pride, using specific job demands and resources. This study shows how the importance of certain variables differs for various groups of employees.

This study is the first to examine how certain job resource foster organizational pride and how organizational pride affects voluntary employee turnover in call centers. Further, the study demonstrates that the socio-demographic variables gender and organizational tenure moderate the creation of emotional exhaustion and organizational pride, which together explain a large amount of the variance in turnover intentions among call center agents.

Current practice when specifying and developing manufacturing software leads to enterprise systems that are difficult to change. With the purpose of improving current practice a model‐driven, component‐based approach to engineering change capable manufacturing systems is described. Application of the approach is supported by a number of proof‐of‐concept system design and construction environments. Each environment organises the use of modelling tools that function to formally capture and apply the results of systems engineering activities carried out by members of project teams. In this way the development of multi‐perspective enterprise (enterprise: a group of organisations sharing a set of goals and objectives to offer products, services or both (ISO 14258)) models is enabled in a computer executable form and means are provided to reconfigure manufacturing systems by using the models to change the way that system components interoperate. Collectively the proof‐of‐concept environments have demonstrated a capability to engineer a variety of types of manufacturing system and by so doing implement a system structure that accommodates rather than inhibits subsequent change, even where that change is of an unforeseen nature.

Organizations increasingly seek to leverage open innovation (OI) communities to generate and advance novel ideas through collaborative innovation efforts of their members. However, success is far from guaranteed, as OI communities can only thrive depending on individual and collective member contributions. This study aims to examine individual and social determinants that encourage members to first generate novel ideas, then collaboratively advance these ideas through cocreation with other members, a process this study terms member “(co)creativity.”

A survey design was used to collect data from 301 OI community members, which this study analyzed through component-based structural equation modeling using the partial least squares (PLS) method.

Drawing on componential theory of creativity and innovation, this study demonstrates the role of members’ creative identity, creative self-efficacy and domain-relevant knowledge as determinants for their novel idea generation. While novel idea generation leads to members’ participation in collaborative innovation, this relationship is partially mediated by members’ willingness to cocreate in this process. This process is further conditioned by social determinants and leads to members’ creative self-enrichment as a result of collaborating in OI communities.

Taking a member perspective, this study advances marketing innovation theorizing by investigating critical determinants of effective OI communities, informing managers about success factors that promote collaborative innovation in OI communities.

This helps overcome rather reductionist innovation models and highlights interdependencies between the individual and social determinants from a theoretical perspective while helping managers better understand important OI member profiles and social aspects that can foster the success of OI communities.

To the best of the authors’ knowledge, this study is the first to examine the notion of member (co)creativity in OI communities and its determinants for effective collaborative innovation. This study also demonstrates self-enrichment as an important outcome of (co)creativity.

Generalized structured component analysis (GSCA) and partial least squares path modeling (PLSPM) are two key component-based approaches to structural equation modeling that facilitate the analysis of theoretically established models in terms of both explanation and prediction. This study aims to offer a comparative evaluation of GSCA and PLSPM in a predictive modeling framework.

A simulation study compares the predictive performance of GSCA and PLSPM under various simulation conditions and different prediction types of correctly specified and misspecified models.

The results suggest that GSCA with reflective composite indicators (GSCA_R) is the most versatile approach. For observed prediction, which uses the component scores to generate prediction for the indicators, GSCA_R performs slightly better than PLSPM with mode A. For operative prediction, which considers all parameter estimates to generate predictions, both methods perform equally well. GSCA with formative composite indicators and PLSPM with mode B generally lag behind the other methods.

Future research may further assess the methods’ prediction precision, considering more experimental factors with a wider range of levels, including more extreme ones.

When prediction is the primary study aim, researchers should generally revert to GSCA_R, considering its performance for observed and operative prediction together.

This research is the first to compare the relative efficacy of GSCA and PLSPM in terms of predictive power.

This paper reports on the development of a general-purpose Eurocode-compliant component-based connection finite element for steel-to-steel joints in fire. The development begins by utilising the temperature-dependent connection component characteristics previously developed at the University of Sheffield to create a component-based connection finite element to model flush endplate connections. Subsequently the element was extended to a new connection type with high ductility, the reverse channel. The component models have been developed for the reverse channel under tension and compression. The element has been incorporated into the nonlinear global structural analysis program Vulcan, in which it has been used along with a static-dynamic formulation. The use of the element is illustrated by modelling a fire test at the University of Manchester in which reverse channel connections were used.

The purpose of this paper is to attempt to bridge a gap in literature by defining and operationalizing specific brand equity constructs, and testing the relationships between customer‐based brand equity and brand market performance. Current literature has focused on building and conceptualizing brand equity, there is no consensus on how it should be measured and what constructs should be included in the measurement process.

This study was conducted in two phases: a consumer‐level analysis; and a brand‐level analysis. A total of 6,410 observations have been identified (sample size consists of 5,598 usable observations). The second phase involved analyzing the data at the aggregate brand level. Analysis included testing hypotheses on the correlations between customer‐based brand equity constructs and brand market performance. finally, detailed market and country‐of‐origin analyses are presented for managerial considerations.

Results from the consumer dataset have been averaged by brand (a total of 17 brands covering 76 percent and 75 percent of market shares in both economy and luxury markets). At the consumer‐level, structural equation modeling was conducted to test research hypotheses. Results varied according to consumer usage. Attitudinal loyalty and satisfaction were found the strongest predictors of brand preference and intention to purchase. At the aggregate brand level, correlation analyses supported the hypothesis that customer‐based brand equity constructs are correlated with brand market performance.

Analyses at the consumer and brand levels revealed interesting results about the US automotive market and suggested important managerial considerations. Specific recommendations are offered in order to help companies prioritize their resource utilization and improve their performance in the market.

This study offers a new model that links customer‐based brand equity with brand market performance. It advances both academic and practical findings, and opens the door for new streams of research that link academic models with practical applications. It advances specific practical recommendations to companies and at the same time offers a reliable and valid academic model that could be applied on other industries and countries.

The purpose of this paper is to develop the model of telemetry data processing flow (TDPF) for TDPF development and the TDPF run-time infrastructure to improve the spacecraft health monitoring capability.

This research tries to develop the TDPF by flow-based programming (FBP) method and the component-based telemetry data processing software.

The result from the case study is positive, thus reflecting the appropriateness of the suggested method.

Application of the proposed TDPF model and the component-based telemetry data processing software may result in improved development efficiency and less development costs.

This paper provides an effective way to develop TDPF without recompiling the software. It greatly facilitates the TDPF development that hopefully will save the TDPF development cost.