SMEs entry mode decision making process: Rational or cybernetic?

Entry mode choice is a critical decision when a firm expends its business to foreign markets. By applying rational and cybernetic strategies to international strategic decision-making process, this paper investigates how small and medium sized firms (SMEs) decision makers decide their entry mode choices. By focusing on the entry decision making process, this research distinguishes the prior entry mode studies that emphasize the relationship between influencing factors and their impacts on entry mode choices. The results of this study show that SME managers normally adapt a combination of rational and cybernetic strategies in their international entry decision making process. This highlights that SMEs’ international entry decision making process is dynamic and complex

SMEs entry mode decision making process: Rational or cybernetic?

Entry mode choice is a critical decision when a firm expends its business to foreign markets. By applying rational and cybernetic strategies to international strategic decision-making process, this paper investigates how small and medium sized firms (SMEs) decision makers decide their entry mode choices. By focusing on the entry decision making process, this research distinguishes the prior entry mode studies that emphasize the relationship between influencing factors and their impacts on entry mode choices. The results of this study show that SME managers normally adapt a combination of rational and cybernetic strategies in their international entry decision making process. This highlights that SMEs’ international entry decision making process is dynamic and complex

Fast mode decision algorithm

Fast mode decision is the developed algorithm intended for selectively choosing the mode decision used by the encoder. The default is the scalable video coding model \vhich is represented by Joint Scalable Video Model (JSVM). It has many mode decisions which are involved during the encoding process. The mode decisions are applied for motion prediction, either intra or inter prediction. Mode decisions in scalable video coding are the features which are available in previous video coding standard and some added features which are in line \vith scalabilit

An efficient fast mode decision algorithm for H.264/AVC intra/inter predictions

H.264/AVC is the newest video coding standard, which outperforms the former standards in video coding efficiency in terms of improved video quality and decreased bitrate. Variable block size based mode decision (MD) with rate distortion optimization (RDO) is one of the most impressive new techniques employed in H.264/AVC. However, the improvement on performance is achieved at the expense of significantly increased computational complexity, which is a key challenge for real-time applications. An efficient fast mode decision algorithm is then proposed in this paper. By exploiting the correlation between macroblocks and the statistical characteristics of sub-macroblock in MD, the video encoding time can be reduced 52.19% on average. Furthermore, the motion speed based adjustment scheme was introduced to minimize the degradation of performanc

ENTRY MODE DECISION MAKING PROCESS

Decision making is the important process in formulating the entry mode strategies. The main objective of this study is to explore the entry mode decision making process a firm entering in to new market. This study explains the entry mode decision making of the case company. In the theoretical part of this study firstly the strategic decision making is discussed. The next part of the theoretical part explains the various modes in strategic decision making. Furthermore the theoretical part discusses about the decision making in the context of entry mode and as well as in the context of entry mode choice approaches. The later part of the theory explores the stages that are involved in the entry mode decision making process. At final the theoretical part explains the importance of emerging markets. The empirical part of the study is done through the face to face interview with the case company. Moreover, the case company’s annual reports, publications and the internet pages were also used in the empirical part of the study. The empirical results of the study explains three stages in the entry decision making process of the case company which are market and need identification, entry mode data collection and decision making stage. It is revealed from the results that the case company’s decision making process is based on avoidance mode.fi=Opinnäytetyö kokotekstinä PDF-muodossa.|en=Thesis fulltext in PDF format.|sv=Lärdomsprov tillgängligt som fulltext i PDF-format

A New Fast Motion Estimation and Mode Decision algorithm for H.264 Depth Maps encoding in Free Viewpoint TV

In this paper, we consider a scenario where 3D scenes are modeled through a View+Depth representation. This representation is to be used at the rendering side to generate synthetic views for free viewpoint video. The encoding of both type of data (view and depth) is carried out using two H.264/AVC encoders. In this scenario we address the reduction of the encoding complexity of depth data. Firstly, an analysis of the Mode Decision and Motion Estimation processes has been conducted for both view and depth sequences, in order to capture the correlation between them. Taking advantage of this correlation, we propose a fast mode decision and motion estimation algorithm for the depth encoding. Results show that the proposed algorithm reduces the computational burden with a negligible loss in terms of quality of the rendered synthetic views. Quality measurements have been conducted using the Video Quality Metric

Generic techniques to improve SVC enhancement layer encoding: digest of technical papers

Scalable video coding is an important mechanism to provide different types of end-user devices with different versions of the same encoded bitstream. However, scalable video encoding remains a computationally expensive operation. To decrease the complexity we propose generic techniques. These techniques can also be combined with existing fast mode decision modes. We show that extending these existing techniques yield an average complexity reduction of 87%

Cargo Logistics Airlift Systems Study (CLASS). Volume 2: Case study approach and results

Models of transportation mode decision making were developed. The user's view of the present and future air cargo systems is discussed. Issues summarized include: (1) organization of the distribution function; (2) mode choice decision making; (3) air freight system; and (4) the future of air freight

An Efficient Mode Decision Algorithm Based on Dynamic Grouping and Adaptive Adjustment for H.264/AVC

“This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder." “Copyright IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.”The rate distortion optimization (RDO) enabled mode decision (MD) is one of the most important techniques introduced by H.264/AVC. By adopting the exhaustive calculation of rate distortion, the optimal MD enhances the video encoding quality. However, the computational complexity is significantly increased, which is a key challenge for real-time and low power consumption applications. This paper presents a new fast MD algorithm for highly efficient H.264/AVC encoder. The proposed algorithm employs a dynamic group of candidate inter/intra modes to reduce the computational cost. In order to minimize the performance loss incurred by improper mode selection for the previously encoded frames, an adaptive adjustment scheme based on the undulation of bitrate and PSNR is suggested. Experimental results show that the proposed algorithm reduces the encoding time by 35% on average, and the loss of PSNR is usually limited in 0.1 dB with less than 1% increase of bitrate