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This paper proposes optimisation models to evaluate and examine the selling of extended warranty policies in terms of improved profits in producing/marketing remanufactured products. These models are numerically solved using a quadratic programming solution approach and implemented in the decision support system (DSS).

The purpose of this paper is to develop the optimisation models for a DSS and evaluate different warranty policies for buyers.

This study has demonstrated the flexibility and usefulness of a model-driven DSS for the quality and warranty management, which is applied to examine and evaluate different configurations (i.e. component reuse, rebuild and recycle) for remanufactured products and propose the selling of extended warranty policies for buyers.

The developed model-driven DSS can assist manufacturers to select and increase the number of components, e.g. to be reused, rebuilt, and recycled for producing a remanufactured product and propose suitable warranty policies for buyers. However, this study focusses only on the evaluation of warranty policies for specific remanufactured products in a DSS, i.e. types of air compressors for production operations in manufacturing industry.

This study developed optimisation models to be used in a DSS for proposing the selling of extended warranty of a remanufactured product to improve customer satisfaction and maximise the gained profits for manufacturers.

The purpose of this research paper is to demonstrate how existing performance measurement may be adopted to measure and manage performance in extended enterprises.

The paper reviews the literature in performance measurement and extended enterprises. It explains the collaborative architecture of an extended enterprise and demonstrates this architecture through a case study. A model for measuring and managing performance in extended enterprises is developed using the case study.

The research found that due to structural differences between traditional and extended enterprises, the systems required to measure and manage the performance of extended enterprises, whilst being based upon existing performance measurement frameworks, would be structurally and operationally different. Based on this, a model for measuring and managing performance in extended enterprises is proposed which includes intrinsic and extrinsic inter‐enterprise coordinating measures.

There are two limitations this research. First, the evidence is based on a single case, thus further cases should be studied to establish the generalisibility of the presented results. Second, the practical limitations of the EE performance measurement model should be established through longitudinal action research.

In practice the model proposed requires collaborating organisations to be more open and share critical performance information with one another. This will require change in practices and attitudes.

The main contribution this paper makes is that it highlights the structural differences between traditional and collaborative enterprises and specifies performance measurement and management requirements of these collaborative organisations.

This study aims to extend the theory of planned behaviour (TPB) model to explain youth’s recycling behavioural intentions in India. Perceived moral obligation (PMO) to perform such pro-environmental activities is incorporated in the TPB model. The study also aims to validate the extended version of TPB models with direct and indirect relationships and identify the best competing model among original TPB, extended TPB model “Model A” (moral obligation is an explanatory variable to recycling behaviour) and extended TPB model “Model B” (moral obligation as an explanatory variable to attitude, perceived behavioural control [PBC] and recycling behavioural intentions; and responsive variable to subjective norms) to predict Indian youth’s waste recycling behaviour.

The descriptive study adopted a hypo-deductive research design to test the proposed extended TPB models. The study used a survey research design with a structured questionnaire. A sample of 782 youth with a mean age of 18 was obtained to perform the correlational analysis. The scale validity and reliability are measured using structural equation modelling and identified the robust model with higher explanatory power using the Chi-square difference (Δχ²) statistic test.

Results show that the extended TPB model “Model B” has a better fit and explanatory power than competing models to predict the waste recycling behaviour of youth. Further findings substantiate that PMO has a higher indirect effect on recycling intention. Model B supports the utility of moral obligation and its association with youth’s higher waste recycling intention and actual recycling behaviour.

The study considers solid waste recycling in general, and therefore future research should test the proposed model specific to other household wastes like water recycling. Furthermore, future studies can experiment with the model with additional variables like perceived relative benefits, social benefits, self-efficacy and education level of the respondents. In a strict sense, the research concern the respondents and the generalisation to a broader population should be made with caution. Hence, further studies in various geographical areas with larger sample sizes would allow the generalizability of the results.

This research provides insights into PMO and its influence on recycling intention. Promoting waste recycling behaviour through campaigns, social pressure and accepting the phenomena of “significant others” will encourage better waste recycling behavioural purposes. Indian households who are highly concerned and obliged towards environmental protection would develop favourable attitudes and subjective norms towards waste recycling.

The study proved the effect of subjective norms on intentions. This contention explains that recycling mostly happens within the house and is mostly not witnessed by society and friends. Therefore, adopting waste recycling behaviour is not socially acceptable as they are not fully aware of its benefits. Policymakers should create awareness to develop environmental-friendly behaviour through recycling solid waste and develop exclusive campaigns to sensitise the negative impact on the environment.

The study’s originality is to test the extended TPB model “Model B”, with PMOs as an additional key variable, which has higher explanatory power to predict the youth’s waste recycling behavioural intentions in the Indian context. PMO found a positive and significant effect on attitude, PBC and recycling behavioural intentions. The higher indirect result of PMO on behavioural purposes through TPB variables indicates the importance of personal moral obligation in pro-environmental behaviour.

The purpose of this paper is to report a pilot project on quality control in China's government department (AQSIQ), based on an extended EFQM excellence model.

After careful comparisons, the EFQM Excellence Model was selected as the fundamental framework for further practice and analysis. The original Excellence Model was extended into three‐section style in the ongoing Super‐ministry Reform. The extended model includes decision‐making, implementation, and supervision. With a brief introduction on AQSIQ in current reform, the first quality control practice in China was investigated in terms of responsibilities, standards, supervision, and assessment. Achievements from quality control were obtained after analysis.

The extended Excellence Model enabled AQSIQ great achievements. This paper finds that, with the guidance under this extended model, a unified leadership with reallocation in people, policy, and partnership has significantly promoted the performance in decision‐making. Further, with regard to principle of simplicity as the key basis of process reengineering, the two‐way innovation and learning feedback mechanism in this model have simplified the process and enhanced knowledge process in the government. Finally, efficiency being the main focus in performance reassessment was also accomplished by this quality practice.

The initial success of AQSIQ has practical and managerial values. On the practical side, the implications in the AQSIQ case that are embodied in the ongoing Super‐ministry Reform in China help to shape fundamental quality control framework in China's government sectors. Two probable managerial enlightenments are for the theory of process engineering and the quality control in theoretical dimension. Therefore, this extended excellence model could further spread into other departments with careful considerations.

This is the first paper to research the first quality control practice in China's government department.

This paper aims to study the extended trailing edge airfoil for a range of angle of attack at different intensities of turbulence.

In this paper, an experimental study on NACA 0020 airfoil with thin extended trailing edge modification of amplitude of h = 0.1c, 0.2c and 0.3c at the Reynolds number of 2.14 × 10⁵ are tested. The research was carried out for an angle of attack ranging from 0° = α = 35° for the turbulence intensity of 0.3%, 3%, 5%, 7% and 12%. From the experimental readings, the surface pressures are scanned using a Scanivalve (MPS2464) pressure scanner for a sampling frequency of 700 Hz. The scanned pressures are converted to aerodynamic force coefficient and the results are combined and discussed.

The airfoil with the extended trailing edge will convert the adverse pressure gradient to a plateau pressure zone, indicating the delayed flow separation. The CL value at higher turbulence intensity (TI = 12%) for the extended trailing edge over perform the base airfoil at the post-stall region. The maintenance of flow stability is observed from the spectral graph.

A thin elongated trailing edge attached to the conventional airfoil serves as a flow control device by delaying the stall and improving the lift characteristics. Additionally, extending the airfoil's trailing edge helps to manage the performance of the airfoil even at a high level of turbulence.

Distinct from existing studies, the presented results reveals how the extended trailing edge attached to the airfoil performs in the turbulence zone ranging from 0.3% to 12% of TI. The displayed pressure distribution explains the need for increasing trailing edge amplitude (h) and its impact on flow behaviour. The observation is that extended trailing edge airfoil bears to maintain the performance even at higher turbulence region.

This paper aims to propose a general, yet simple model to estimate interest rate volatility.

The methodology is based on an extended Exponential Generalized ARCH (EGARCH) model that incorporates both interest rate levels as well as past information shocks in the volatility function. More importantly, the model is log‐linear thus eliminating collinearity problems and it can be easily estimated using standard maximum likelihood techniques.

The empirical evidence suggests that the elasticity of volatility to the level of interest rates, although statistically significant, is not as high numerically as previously thought. In fact innovations in the interest rate process are more significant than the level of interest rates. The most important feature of interest rates, however, is the high volatility persistence.

A limitation of the model is that it does not allow for structural shifts in its current form. Extending the model to accommodate possible shifts would probably improve the performance as well the forecasting accuracy.

The findings in this paper have important implications for the accurate pricing of fixed income derivative securities as well as the efficient risk management of fixed income portfolios.

The paper provides a convenient and unifying methodological framework for assessing the importance and forecasting ability of the various volatility components.

The purpose of this paper is to compare the effectiveness of the cognitive-affect behavior (CAB) model and the theory of reasoned action (TRA) model as well as their extended forms (with product knowledge) in predicting everyday green consumption among non-Hispanic White and Hispanic consumers.

Survey data from a convenience sample of 249 non-Hispanic Whites and 425 Hispanic adults were used to test the two models through structural equation modeling analyses.

While all tested models explained green consumption in both samples adequately, the basic TRA and the TPB (extended TRA) models were superior to the basic and extended CAB models. Including product knowledge further enhanced the predictive power of the two basic models.

Self-reported surveys are subject to social desirability bias in the reporting of intentions and actual purchases of green products. Future research may attempt to collect data on actual green purchases. The selection of a general consumption context is limited in distinguishing between high- and low-involvement products. Future research should test the relative effectiveness of these models among specific green products with different levels of involvement.

Marketing and strategic communication programs should focus on increasing consumers’ positive attitudes about purchasing green products and promote green purchase intentions using intention-generating promotional tactics. This paper also stresses the need to increase consumers’ concrete knowledge about green products to drive actual purchase behavior.

This paper can help communicators to further promote green consumption for routinely purchased consumer goods, which will ultimately enhance a healthier and more sustainable environment.

This paper extends the literature about green consumption, providing insights about the relative effectiveness of two widely accepted consumer behavior models. It implies that some models excel over others in terms of their explanatory power across consumer populations regardless of socio-demographic differences. It also stresses the importance of specifying explicitly behavioral control variables in green consumption research and provides a viable basis for the development of strategic marketing.

The purpose of this paper is to develop a fast and accurate analytic model function for the single-valued H-B curve of ferromagnetic materials, where hysteresis can be disregarded (normal magnetization curve). Nonlinear magnetoquasistatic simulations demand smooth monotone material models to ensure physical correctness and good convergence in Newton's method.

The Brauer model has these beneficial properties, but is not sufficiently accurate for low and high fields in the normal magnetization curve. The paper extends the Brauer model to better fit material behavior in the Rayleigh region (low fields) and in full saturation. Procedures for obtaining optimal parameters from given measurement points are proposed and tested for two technical materials. The approach is compared with cubic spline and monotonicity preserving spline interpolation with respect to error and computational effort.

The extended Brauer model is more accurate and even maintains the computational advantages of the classical Brauer model. The methods for obtaining optimal parameters yield good results if the measurement points have a distinctive Rayleigh region.

The model function for ferromagnetic materials enhances the precision of the classical Brauer model without notable additional simulation cost.

The purpose of this study was to examine the relationship between organisational support for career development (OSCD) and employees' career satisfaction. Based on an extended model of social cognitive career theory (SCCT) and an integrative model of proactive behaviours, the study proposed that career management behaviours would mediate the relationship between OSCD and career satisfaction, and between proactive personality and career satisfaction.

Public and private sector employees (N=90) participating in career development activities completed a survey regarding their proactivity, OSCD, career management behaviours and career satisfaction.

OSCD, proactive personality and career management behaviours were all positively related to career satisfaction and career management behaviours mediated the relationship between proactive personality and career satisfaction. There was no support for the career management behaviours mediating between OSCD and career satisfaction.

This study provided support for the extended SCCT model by testing a subset of its proposed relationships using a cross‐sectional approach. The sample surveyed (employees participating in career development activities) and the large proportion of full‐time employees, may limit the generalisability of the findings. Future longitudinal research could more fully test the relationships proposed by the extended SCCT model and include a greater representation of part‐time and casual employees.

The results suggest that there are benefits for organisations and individuals investing in career development.. First, from an organisational perspective, investing in OSCD may enhance employees' career satisfaction. Second, employees may enhance their own career satisfaction by participating in career management behaviours.

This study integrated the predictions of two models (an extension of SCCT and a model of proactive behaviours) to test the influence of environmental (OSCD) and individual difference (proactive personality) variables on career satisfaction. Exploring how organisational and individual variables together influence career satisfaction provides a more balanced approach to theoretical development.

Smart card-based E-payment systems are receiving increasing attention as the number of implementations is witnessed on the rise globally. Understanding of user adoption behavior of E-payment systems that employ smart card technology becomes a research area that is of particular value and interest to both IS researchers and professionals. However, research interest focuses mostly on why a smart card-based E-payment system results in a failure or how the system could have grown into a success. This signals the fact that researchers have not had much opportunity to critically review a smart card-based E-payment system that has gained wide support and overcome the hurdle of critical mass adoption. The Octopus in Hong Kong has provided a rare opportunity for investigating smart card-based E-payment system because of its unprecedented success. This research seeks to thoroughly analyze the Octopus from technology adoption behavior perspectives.

Cultural impacts on adoption behavior are one of the key areas that this research posits to investigate. Since the present research is conducted in Hong Kong where a majority of population is Chinese ethnicity and yet is westernized in a number of aspects, assuming that users in Hong Kong are characterized by eastern or western culture is less useful. Explicit cultural characteristics at individual level are tapped into here instead of applying generalization of cultural beliefs to users to more accurately reflect cultural bias. In this vein, the technology acceptance model (TAM) is adapted, extended, and tested for its applicability cross-culturally in Hong Kong on the Octopus. Four cultural dimensions developed by Hofstede are included in this study, namely uncertainty avoidance, masculinity, individualism, and Confucian Dynamism (long-term orientation), to explore their influence on usage behavior through the mediation of perceived usefulness.

TAM is also integrated with the innovation diffusion theory (IDT) to borrow two constructs in relation to innovative characteristics, namely relative advantage and compatibility, in order to enhance the explanatory power of the proposed research model. Besides, the normative accountability of the research model is strengthened by embracing two social influences, namely subjective norm and image. As the last antecedent to perceived usefulness, prior experience serves to bring in the time variation factor to allow level of prior experience to exert both direct and moderating effects on perceived usefulness.

The resulting research model is analyzed by partial least squares (PLS)-based Structural Equation Modeling (SEM) approach. The research findings reveal that all cultural dimensions demonstrate direct effect on perceived usefulness though the influence of uncertainty avoidance is found marginally significant. Other constructs on innovative characteristics and social influences are validated to be significant as hypothesized. Prior experience does indeed significantly moderate the two influences that perceived usefulness receives from relative advantage and compatibility, respectively. The research model has demonstrated convincing explanatory power and so may be employed for further studies in other contexts. In particular, cultural effects play a key role in contributing to the uniqueness of the model, enabling it to be an effective tool to help critically understand increasingly internationalized IS system development and implementation efforts. This research also suggests several practical implications in view of the findings that could better inform managerial decisions for designing, implementing, or promoting smart card-based E-payment system.