Hajime Kobayashi, Yoritoshi Hara and Tetsuya Usui
This study adopts a three-component view of trust bases (cognition, affection and institution) and examines how these trust components function and interact during a business…
Abstract
Purpose
This study adopts a three-component view of trust bases (cognition, affection and institution) and examines how these trust components function and interact during a business expansion in an unfamiliar foreign context.
Design/methodology/approach
A longitudinal case study of a Japanese cosmetics company was conducted trying to collaborating with its Chinese partners to develop business in China. The data sources consist of semi-structured interviews and archival data, including industry reports, newspaper articles and internal documents.
Findings
Findings show that a trustee’s actions to activate the three trust bases created stable business relationship with trustors. Additionally, the business expansion was driven over time through the order of manifestation of these trust bases. Institution-based trust develops first, followed by a combination of institution- and cognition-based trust, before the final combination of institution-, cognition- and affection-based trust.
Research limitations/implications
Based on an in-depth single case study, this study provides a process-based explanation of the configuration pattern of three trust components over time. A generalized process-based explanation and the interaction effects of each trust component require further qualitative empirical studies in varied contexts.
Practical implications
The study provides managers with insights into how to activate trust based on the importance of configuring the three trust bases covered in this paper.
Originality/value
This paper adds to the scant literature attempting to explain the dynamic processes by which the trust structure forms compared to the more common variable-based statistical analyses.
Details
Keywords
Kanako Nakajima, Soichiro Morishita, Tomoki Kazawa, Ryohei Kanzaki, Kuniaki Kawabata, Hajime Asama and Taketoshi Mishima
The purpose of this paper is to propose an automatic interpolation method for binarized confocal laser scanning microscopy (CLSM) images of a premotor neuron in the silkworm moth.
Abstract
Purpose
The purpose of this paper is to propose an automatic interpolation method for binarized confocal laser scanning microscopy (CLSM) images of a premotor neuron in the silkworm moth.
Design/methodology/approach
Partial deficiencies occur in binary images through the form extraction process because of noises in a CLSM image series. The proposed method selects several points from a binarized image series and connects these points with a Bezier curve based on premotor neuron characteristics in order to interpolate partial deficiencies.
Findings
To verify the availability of the proposed method, a three‐dimensional form of a premotor neuron of a silkworm moth was extracted. The results of each branch's relation of connection and of the interpolated neuron thickness show that the proposed method realizes to interpolate partial deficiencies and to extract three‐dimensional form of the premotor neuron.
Practical implications
The proposed method contributes to realize efficient premotor extraction process using image‐processing techniques. The extracted result by proposed method can be utilized for the form comparison among many data of the premotor neurons quickly. Moreover, it also contributes to provide the parameters of an accurate neuron model for realizing computer simulation of electrical of the neurons.
Originality/value
The proposed method extracts not only a topological form but also a premotor neuron's thickness by interpolating partial deficiencies based on specific characteristics of the neuron. Thickness values of the neuron are an important factor for a simulating accurate electrical response of the neuronal circuit.
Details
Keywords
Samezō Kuruma's career as a Marxist economist spans a period of roughly six decades, stretching from the beginning of the 1920s, when Marxism was quickly taking root in Japan, up…
Abstract
Samezō Kuruma's career as a Marxist economist spans a period of roughly six decades, stretching from the beginning of the 1920s, when Marxism was quickly taking root in Japan, up to the early 1980s, when the nearly hegemonic influence Marxist scholars had enjoyed in the postwar period was on the wane.1 Kuruma was born in 1893 in Okayama prefecture, west of Osaka. As the eldest son of a prosperous paper merchant, Kuruma was expected to take over the business one day, which did not interest him. Although not eager to become a capitalist, the study of capitalism attracted Kuruma early on, spurred by reading The Wealth of Nations at the age of seventeen. In 1914, Kuruma entered prestigious Tokyo Imperial University (now Tokyo University), where he had intended to study economics but switched to political science after finding the economics courses uninteresting.2 Graduating in the spring of 1918, he found a job working for Sumitomo Bank in Osaka. Kuruma had been assured that the job would afford him an opportunity to pursue economic research, perhaps related to China, but his duties turned out to be far more mundane. He soon realized that he was not at all suited to a career in banking.
Kuniaki Kawabata, Kanako Saitoh, Mutsunori Takahashi, Hajime Asama, Taketoshi Mishima, Mitsuaki Sugahara and Masashi Miyano
The purpose of this paper is to present classification schemes for the crystallization state of proteins utilizing image processing.
Abstract
Purpose
The purpose of this paper is to present classification schemes for the crystallization state of proteins utilizing image processing.
Design/methodology/approach
Two classification schemes shown here are combined sequentially.
Findings
The correct ratio of experimental result using the method presented here is approximately 70 per cent.
Originality/value
The paper is a contribution to automated evaluation crystal growth, combining two classifiers based on specific visual feature, sequentially.