Search results

The purpose of this paper is to develop a finite volume approach for the simulation of three-dimensional two-phase (polymer melt and air) flow in plastic injection molding which is capable of robustly handling the mesh non-orthogonality and the discontinuities in fluid properties.

The presented numerical method is based on a cell-centered unstructured finite volume discretization with a volume-of-fluid technique for interface capturing. The over-relaxed approach is adopted to handle the non-orthogonality involved in the discretization of the face normal derivatives to enhance the robustness of the solutions on non-orthogonal meshes. A novel interpolation method for the face pressure is derived to address the numerical stability issues resulting from the density and viscosity discontinuities at the melt–air interface. Various test cases are conducted to evaluate the proposed method.

The presented method was shown to be satisfactorily accurate by comparing simulations with analytical and experimental results. Besides, the effectiveness of the proposed face pressure interpolation method was verified by numerical examples of a two-phase flow problem with various density and viscosity ratios. The proposed method was also successfully applied to the simulation of a practical filling case.

The proposed finite volume approach is more tolerant of non-orthogonal meshes and the discontinuities in fluid properties for two-phase flow simulation; therefore, it is valuable for engineers in engineering computations.

The authors investigate how executive pay and its gap with employee pay influence the performance of Thailand tourism listed companies.

The authors manually collect data on the executives' and employees' remunerations for Thailand tourism listed companies and use the data for the authors’ OLS regression analysis. To check the robustness of the results to potential endogeneity issues, the authors employ the two-stage least-squares regression analysis and the impact threshold for a confounding variable approach.

The authors find that short-term executive compensation enhances firm performance, and that long-term executive compensation reduces the likelihood of unfavorable corporate performance. The authors also find that the gap in short-term pay between executives and employees has an inverted-U relation with firm performance.

This study suggests that higher executive pay relative to employee pay could encourage executives to work hard to improve corporate performance, but that too large a pay gap between executives and employees could impair employees' morale and harm firm performance.

It is important for tourism companies to not only pay executives well but also avoid too large a pay gap between executives and employees.

This study implies the important role of compensation design in contributing to employee engagement and good performance for tourism firms.

This study sheds light on agency problems between executives and employees in tourism companies and provides new evidence and insights on compensation research in the tourism sector in emerging markets.

This paper aims to shed light on the linkage between research and development (R&D) networks and public funding presented in a given period by using network-based evaluation tools as a means of exploring the relational dimension in public projects designed to foster technology R&D activities.

This research uses co-occurrence network analysis of relevant public projects to assess how technological associations might occur within the R&D activities of given publicly funded projects as well as conducts correlation analysis to understand the extent to which linkages of R&D activity in technology fields are related to public expenditure.

Core technology fields, regarded as eligible to receive continued public funding, are critical for enhancing competitiveness and sustainable growth at the nationally strategic technology level. Thus, the relationship between R&D and the level of government funding for these fields is generally perceived as strong. However, a few technology fields, which did not actively form specific network relationships with other technology fields, are considered to exceptionally drive the largest government support. This trend indicates that the government-funded R&D should be designed and managed not only to curb the inefficiencies existing in the current funding programs but also to achieve the appropriateness for further technology development.

Despite the comprehensive findings, this study has several limitations. First, it is difficult to control any confounding factors, such as the determinants and constraints of the government budget allocation and expenditure decisions over S&T areas, strategic frameworks for public investment and evolving policy landscapes in technology sectors, which lead to bias in the study results. Second, this study is based on a narrow, single-year data set of a specific field of projects supported by the Korean government’s R&D program. Therefore, the generalization of findings may be limited. The authors assumed that influences caused by confounding variables during the initial phase of the public funding schemes would not be significant, but they did not take into account possible factors that might arise coincident with the subsequent phase changes. As such, the issue of confounding variables needs to be carefully considered in research design to provide alternative explanations for the results that have been ruled out. The limitations of this study, therefore, could be overcome by comparing the outcome difference between subsidized and non-subsidized R&D projects or evaluating targeted funding schemes or tax incentives that support and promote various areas of R&D with sufficiently large, evidence-based data sets. Also, future research must identify and analyze the R&D activities concerning public support programs performed in other countries associated with strategic priorities to provide more profound insight into how they differ. Third, there are some drawbacks to using these principal investigators-provided classification codes, such as subjectivity, inaccuracy and non-representation. These limitations may be addressed by using content-based representations of the projects rather than using pre-defined codes. Finally, the role that government investment in R&D has played in developing new science and manufacturing technologies of materials and components through network relationships could be better examined using longitudinal analysis. Furthermore, the findings suggest the need for further research to integrate econometric models of performance outcomes such as input–output relations into the network analysis for analyzing the flow of resources and activities between R&D sectors in a national economy. Therefore, future research would be helpful in developing a methodological strategy that could analyze temporal trends in the identification of the effects of public funding on the performance of R&D activity and demand.

Public funding schemes and their intended R&D relationships still depend on a framework to generate the right circumstances for leading and promoting coordinated R&D activities while strengthening research capacity to enhance the competitiveness of technologies. Each technology field has a relatively important role in R&D development that should be effectively managed and supervised to accomplish its intended goals of R&D budgeting. Thus, when designing and managing R&D funding schemes and strategy-driven R&D relations, potential benefits and costs of using resources from each technology field should be defined and measured. In this regard, government-funded R&D activities should be designed to develop or accommodate a coordinated program evaluation, to be able to examine the extent to which public funding is achieving its objectives of fostering R&D networks, balancing the purpose of government funding against the needs of researchers and technology sectors. In this sense, the examination of public R&D relations provides a platform for discussion of relational network structures characterizing R&D activities, the strategic direction and priorities for budget allocation of the R&D projects. It also indicates the methodological basis for addressing the impact of public funding for R&D activities on the overall performance of technology fields.

The value of this work lies in a preliminary exploratory analysis that provides a high-level snapshot of the areas of metallurgy, polymers/chemistry/fibers and ceramics, funded by the Korean Government in 2016 to promote technological competitiveness by encouraging industries to maintain and expand their competencies.

The purpose of this paper is to examine the purchase intention in the case of smartphone advertising, which is unlike any other advertising media.

This study examines the characteristics of recent mobile advertisements such as brand attitude and context awareness value, which have not been considered in studies on non-mobile advertisements, to address purchase intention through smartphone advertisements using structural equation modeling.

The results are as follows. Together with entertainment, information, irritation, and personalization in non-mobile advertisements, timing and location in mobile advertisements are the main factors for establishing consumers’ purchase intention. Further, although mobile advertisements’ context awareness value strongly impacts consumers’ advertising attitude and brand attitude, purchase intention receives greater impact from brand attitude than from advertising attitude because the products/services lack feel and touch.

These results imply that contextual advertising and new technology enabling feel and touch for products/services can maximize the effect of mobile advertisements.

We conjecture that there are five stages to academic entrepreneurship: motivation, governance, selection, competition, and performance. The process of academic entrepreneurship originates with the motivation of faculty, universities, industry, and government to commercialize knowledge that originates within the university setting. The model conceptualizes that the governance and competitiveness of the commercialized knowledge moderate the mode selection and ultimately the performance of academic entrepreneurship. The conceptual and empirical support for the model are derived from a theory-driven synthesis of articles related to academic entrepreneurship.

Named Data Networking (NDN) is a content-centric network differing from the traditional IP-based network. It adopts the name prefix to identify, query and route the information content instead of IP-based addressing and routing. NDN provides a convenient way to access the content without knowing the originated location of the requested information. However, the length of name prefix varies. It is not like the fixed-length IP addresses that makes handling queries or searching the requested information in NDN easier. An efficient name lookup mechanism of name prefix will efficiently increase the performance of prefix identifying, name searching and content retrieving. Therefore, this paper aims to propose a partial name prefix merging and shortening scheme for enhancing the efficiency of name lookup in NDN.

To reduce the work involved in name prefix identifying, querying, storing and routing, this work adopts a cyclic redundancy check-based encoding scheme to shorten the variable length of the name prefix into a proper and fixed length of encoded numerical information. In fact, the structure of a name prefix is presented in a combination of word segments with the slash symbol. The shortening procedure of name prefix can also be applied to adjacent word segments forming fixed-length encoded data for further efficiently matching the name prefix for name lookup in NDN.

The experimental results show that the shorter length of encoded name prefix can effectively reduce the access time of name lookup and increasingly retrieve the corresponding named content in NDN. Through partial merging and shortening of name prefix, the length of encoded prefix name may be larger than the whole encoding of name prefix. It retains the information differences from different parts of various name prefixes. Thus, it can avoid collision problems with the same encoded information from various name prefixes.

From the experimental results, it is observed that partial merging and shortening of name prefix is useful for name look up in NDN. It can increase the efficiency of name prefix matching and retrieving in NDN. It can also save memory space to store the name prefix in an NDN node.

This paper examines the effect of market knowledge on market success of product innovativeness and the moderating role of absorptive capacity. We separated market knowledge into market diversity and market significance components and examined their effects on radical product innovation performance.

This paper adopted the secondary database study. Excluding cases with missing values of main variables, a total of 1,219 Taiwanese manufacturing firms from the Third Taiwan Technology Innovation Survey (TTIS3) database were used to test the hypotheses. A moderated hierarchical regression approach was utilized to analyze the data.

The results revealed that the relationship between market diversity and radical product innovation performance is a predominantly positive concave downward curve. In contrast, the relationship between market significance and radical product innovation performance is a predominantly negative concave downward curve. Furthermore, the results also indicated that absorptive capacity has different moderating effects on the relationships between market diversity/significance and radical product innovation performance. Absorptive capacity enhances the negative effect of market significance but suppresses the positive effect of market diversity on radical product innovation performance.

This paper is the first research which contributes to examining the relationship between market knowledge and radical product innovation sale performance.

Based on person-job fit and self-determination theory, this paper examined the effects of (in)congruence between autonomy expectation and perceived autonomy on proactive behaviour, and the moderating role of humble leadership in this relationship among Chinese public employees.

Data were collected from a two-wave survey, and the research model was tested using polynomial regression and response surface methodology.

Results suggested that employees' proactive behaviour will be highest when autonomy congruence was achieved, while autonomy incongruence led to different levels of proactive behaviour based on the specific situations. Furthermore, the moderating effect of humble leadership was proved such that it accentuated the positive influence of autonomy congruence on proactive behaviour.

Managers should be fully aware of the benefits and importance of person-job fit and strive to reduce autonomy incongruence. Meanwhile, humble leadership should be considered in the context of granting autonomy to boost proactivity.

This paper re-emphasises the importance of autonomy by utilising a congruence perspective to understand the effects of autonomy on proactive behaviour. Meanwhile, it incorporates an important boundary condition, humble leadership, on the effects of autonomy congruence and thus offers a more nuanced understanding. Further, this paper not only highlights the significance of underexplored concepts among public employees, but also extends autonomy (in)congruence study to a new context and culture.