International Journal of Advanced Culture Technology
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v.3
no.1
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pp.1-12
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2015
The current scenario of the transportation sector reflects the urgent need to address issues such as depletion of traditional fuel reserves and ever growing pollution levels. Researchers around the world are focussing on alternatives as well as optimisation of currently employed devices to reduce the pollution levels generated by the commonly used fuels. One such optimisation involves the study of air flow within the intake manifolds of SI engines. It is a well-known fact that alterations in the air manifolds of engines have a significant impact on the engine performance parameters, fuel consumption and emission levels. Previous works have demonstrated the impacts of runner lengths, diameter, plenum volume, taper angle of distribution manifolds and other factors on in-cylinder fluid motion and engine performance. However, a static setup provides an optimal configuration only at a specific engine speed. This paper aims to investigate the variations in the same parameters on a four stroke, naturally aspirated single cylinder SI engine through varying the cross section design over the intake runner with the aid of Computational Fluid Dynamics. The system consists of segments that form the intake runner with projections on the inside that allow various permutations of the intake runner segments. The various configurations provide the optimised fluid flow characteristics within the intake manifold at specific engine speed intervals. The variations such as turbulence, air fuel mixing are analysed using the three dimensional CFD software FLUENT. The results can be used further for developing an automated or manually adjustable intake manifold.
Despite a growing literature focusing on technological development as a key driving force behind the economic performance of a firm or a nation's industy, we still fall short of a comprehensive understanding of how each of the elements required of technological developent and innovation fits togther and leads to economic progress and industry change. This paper seeks to fill this gap by bringing together some of key insights from the theory and research on the coevolutionary process of technology, organizations, and industry, and on the role of institutions in this process. By combining a diverse array of research streams, we provide a broad suvey of foundational work on the following two questions: (1) how the creation and diffusion of innovation occurs and gives rise to structural reconfigurations of the industry, (2) how organisations and technology coevolve, and (3) what is the role of institutions in this coevolutionary process? Based on this literature survey, we also offer a synthesis that can serve as a ground that allows a more nuanced understanding of the sources, dynamics and impacts of technological development and innovation, and interrelationships among technology, organizations and industry change.
KSII Transactions on Internet and Information Systems (TIIS)
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v.11
no.2
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pp.628-649
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2017
Security and resource-saving are both demands of the fifth generation (5G) wireless networks. In this paper, we study the secrecy spectrum efficiency (SSE) and secrecy energy efficiency (SEE) of a K-tier massive multiple-input multiple-output (MIMO) enabled heterogeneous cellular network (HetNet), in which artificial noise (AN) are employed for secrecy enhancement. Assuming (i) independent Poisson point process model for the locations of base stations (BSs) of each tier as well as that of eavesdroppers, (ii) zero-forcing precoding at the macrocell BSs (MBSs), and (iii) maximum average received power-based cell selection, the tractable lower bound expressions for SSE and SEE of massive MIMO enabled HetNets are derived. Then, the influences on secrecy oriented spectrum and energy efficiency performance caused by the power allocation for AN, transmit antenna number, number of users served by each MBS, and eavesdropper density are analyzed respectively. Moreover, the analysis accuracy is verified by Monte Carlo simulations.
ALMASKARI, Tariq Humaid;MOHAMAD, Effendi;YAHAYA, Siti Norbaya;JALIL, Muhammad Farhan
The Journal of Asian Finance, Economics and Business
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v.8
no.7
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pp.657-669
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2021
This study seeks to empirically investigate the impact of transformational leadership on employees' innovation with the mediating effect of technological diversity. Employees have evolved into leaders in organizing work within institutions over the last few decades. This shift presents new demands for leaders, who are forced to reinvent individual workers while also improving workplace innovation. This research proposes a conceptual model for considering transformational leadership and the impact of technological diversity on innovation. Structured questionnaire is used in the study and the analysis of the data from 633 employees of universities in the United Arab Emirates uses stratified sampling technique and hypotheses verified through Structural Equations Modelling (AMOS-21). According to the results, transformational leadership has a big effect on employees' innovation. Furthermore, in the relationship between transformational leadership and workforce innovation, technological diversity has a partial mediation impact. This research adds to the growing body of knowledge about how transformational leadership influences employees' innovation and how it affects employees' success, especially in the context of UAE-based universities. Overall, this research contributes to the previous studies wherein transformational leadership plays a critical role in influencing the innovative performance of employees and that, in turn, will promote diversification of technology in the organization.
Increased attention has worldwide been given to exporting SMEs pursuing the rapid internationalization from their inception. In spite of the limited resources, exporting SMEs have entered in global markets successfully and then improve their internationalization performance. Nevertheless, there is little empirical research regarding internationalization in exporting SMEs, Using a survey of 317 exporting SMEs, this study designated organizational, entrepreneurial, environmental, and technological characteristics as determinants of internationalization performance as well as investigates empirically the relationships among the determinants of internationalization performance, export Support programs of the government, and internationalization performance. According to the results of the study, firstly, R&D capacity, globalization-orientation, international market environment, and technological characteristics (e.g. technological capacity and imitation) have significant effects on international performances. Finally, it is found that export support programs moderated the relationships between market information management, R&D capacity, management capacity, international market information, and technological capacity, and internationalization performance. Above results indicate that if exporting SMEs would not use export support programs effectively, they could not improve internationalization performance. As well, several implications for researchers and practitioners, limitation of this study and future direction were suggested.
The purpose of this research is to examine whether investment portfolio composition affects the technological performance of corporate venture capital (CVC). The stages of investment are categorized from "start-up/seed", "early", and "expansion", to "later" stage. We posit and test that the investment stage composition in a portfolio is highly correlated with the growth potential and downside risk of the portfolio, which in turn influences an investor's innovation performance. To test this hypothesis, we used negative binomial panel regression with 21 years of deal data from 70 cases of CVC. The results show that there is an inverted U shaped relationship between investment portfolio composition and technological performance. This means that the more seed or early stage investment within the investment portfolio, the higher the innovation performance; however, if the amount of seed or early stage investment is over a certain level, the performance decreases. Further, this study finds that the external partners of a venture negatively moderate the inverted U shaped relationship between portfolio composition and innovation performance. We believe that corporate planners, venture capitalists, and policy makers will be helped by these results showing that companies can maximize their investment performance by considering the investment stage and progress of investments.
Purpose: Trade in small and medium businesses must improve innovation performance before and after the COVID-19 pandemic. The requirement for rapid innovation is being able to compete and survive post-pandemic. This research attempts to investigate the influence of organizational forgetting, knowledge management, and business agility in distributing innovation performance improvementsto SMEs in Tasikmalaya, Indonesia. Research design, data and methodology: In this research, a structural equation modeling approach with SmartPLS was applied. This research used 221 Tasikmalaya SMEs as samples. The findings of this study show that SMEs are still underrepresented in technological advancement. Results: Organizational forgetfulness does not have a significant impact on innovation performance, nor does it have an indirect impact through knowledge management. Business agility, on the other hand, has a significant indirect effect on innovation performance. Knowledge management does not have a significant and direct impact on innovation performance, but business agility has a significant impact. Conclusions: Efforts to enhance SMEs' trade must be willing to challenge the status quo or abandon knowledge that is no longer relevant to current developments to improve business agility and innovation. Technology-oriented SMEs can quickly become agile by implementing organizational forgetting. SME owners must be willing to adapt to technological advances to adopt organizational forgetfulness.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.15
no.4
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pp.193-216
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2020
Due to the recent mid- to long-term slump and falling growth rates in the global economy, interest in organizational structures that create new products or services as a new alternative to survive and develop in an opaque environment both internally and externally, and enhance organizational sustainability through changes in production methods and business innovation is increasing day by day. In this atmosphere, we agree that the growth of small and medium-sized venture companies has a significant impact on the national economy, and various efforts are being made to enhance the technological innovation capabilities of the members so that these small and medium-sized venture companies can enhance and sustain their performance. The purpose of this study is also to investigate how the technological innovation capabilities of small and medium-sized venture companies correlate with the performance of knowledge management and to analyze the role of network capabilities to organize the strategic activities of enterprise to obtain the resources and organizational capabilities to be used for value creation from external networks. In other words, research was conducted on the impact of technological innovation capabilities of small and medium venture companies on knowledge management performance by using network capabilities as parameters. Therefore, in this study, we would like to verify the hypothesis that innovation capabilities will have a positive impact on knowledge management performance by using network capabilities of small and medium venture companies. Economic activities based on technological innovation capabilities should respond quickly to new changes in an environment where uncertainty has increased, and lead to macro-economic growth and development as well as overcoming long-term economic downturns so that they can become the nation's new growth engine as well as sustainable growth and survival of the organization. In addition, this study was conducted by setting the most important knowledge management performance within the organization as a dependent variable. As a result, R&D and learning capabilities among technological innovation capabilities have no impact on financial performance. In contrast, it was shown that corporate innovation activities have a positive impact on both financial and non-financial performance. The fact that non-financial factors such as quality and productivity improvement are identified in the management of small and medium-sized venture companies utilizing their technological innovation capabilities is contrary to a number of studies by those corporate innovation activities affect financial performance during prior research. The reason for this result is that research companies have been out of start-up companies for more than seven years, but sales are less than 10 billion won, and unlike start-up companies, R&D and learning capabilities have more positive effects on intangible non-financial performance than financial performance. Corporate innovation activities have been shown to have a positive (+) impact on both financial and non-financial performance, while R&D and learning capabilities have a positive (+) impact on financial performance by parameters of network capability. Corporate innovation activities have been shown to have no impact on both financial and non-financial performance, and R&D and learning capabilities have no impact on non-financial performance. It could be seen that the parameter effects of network competency are limited to when R&D and learning competencies are derived from quantitative financial performance. It could be seen that the parameter effects of network competency are limited to when R&D and learning competencies are derived from quantitative financial performance.
Journal of Information Technology Applications and Management
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v.23
no.4
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pp.71-82
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2016
The purpose of this study is to prove empirically that technology investment propency factors (TIPFs) refect on the technological competitive advantage (TCA) and management performance. It includes the role of open technology innovation (OTI) approach is mediate to TCA from technology investment propensity. Especially the three TIPFs are market orientation, innovation orientation and strategy orientation. The analysis were performed based on the respondents' data from 181 firms focusing to technology innovation and information technology. The suggested research assumptions including structured equation model were proved. Therefore, this study emphasizes that CEO or CTO must concentrate on innovative, strategic and market oriented propensity when he makes a decision on technology investment. An open innovation approach is effective for getting high TCA and management performance in technology intensive firms such as technology innovation and information technology.
Recently, to overcome the global economic recession and stimulate the sluggish economy, Korea government has adopted various policies designed to strengthen the innovative capabilities of its small or medium sized enterprises (SMEs). With our focus on ICT technology companies, this study empirically analyzes both the potentials and the limitations of the R&D information support programs which are part of these governmental efforts. Our goal is to generate insights and help develop policies based on evidence. In this study, we used statistics from 2014 on small or medium business technologies to analyze the effect that the government's R&D information support policy has had on the technological or economic performance of small or medium businesses. According to these research results, R&D support programs (assistance with R&D planning and provision of technological information) made available to small or medium businesses did have a significant correlation to technological investment. By contrast, R&D information supporting programs were found to have no direct, significant correlation to technological or economic performance. One exception was that programs that gained the benefits of R&D planning support did have a significant correlation to technological performance in the case of companies engaged in ICT research. The results of this study will provide various insights for policymakers designing policies to support technologically-driven small or medium businesses, including ICT-based companies. We anticipate that this study will be a particularly helpful guide to policy development for corporations or researchers that provide supportive information to small or medium businesses.
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