Search results

This study examined the human and social capital factors associated with higher post‐succession firm performance in family enterprises in Singapore. We also investigated the moderating influence of the board of directors in terms of its service role as stewards of the enterprise. We found that a successor’s industry experience and diversity of network ties were positively associated with firm performance and boards that focused their role as advisors to the successor enhanced post‐succession firm performance.

This paper presents a method to elaborate the selections of these parameters to achieve stable grasps. The performance of a prosthetic hand is mainly determined by its mechanical design. However, the effects of the geometric parameters of the hand configuration and the object sizes on the grasp stability are unknown.

First, the thumb functions of human hands are analyzed based on the anatomical model, and the configuration characteristics of the thumbs for typical prosthetic hands are summarized. Then a method of optimizing the thumb configuration is proposed by measuring the kinematic transmission performance of robotics. On the basis of the thumb configuration analysis, a design method of the prosthetic hand configuration is proposed based on form closure theory. The discriminant function of form closure is used to analyze and determine the hand configuration parameters.

An application of this method – the newly developed HIT V prosthetic hand – elaborates the optimization of the thumb configuration and the hand configuration, where the relation between the key hand configuration parameters and the discriminant function on condition of satisfying form closure, sustained by analytical equations and graphs, is revealed and visualized. An experimental verification shows that it is an effective method to design the prosthetic hand configuration available for grasping typical objects in our daily life.

The paper shows how to easily determine the geometric dimensions of the palm, phalanges and hand configuration, so that the desired range of object sizes can be obtained.

In Japan a network system called keiretsu exists (Abegglen & Stalk, 1985; Gerlach, 1992; Sheard, 1994). Keiretsu may involve formal and informal relationships with suppliers that have developed over the years or other interfirm links (for example, among manufacturers and supporting financial institutions). In the late 1990s, the Japanese economic system has undergone some changes such as the dissolution of cross-shareholdings and the decline of the main bank system (relationship-based financing) leading to changes in the corporate ownership and the governance system of Japanese companies.

The purpose of this paper is to present a deep-learning-based beamforming method for phased array weather radars, especially whose antenna arrays are equipped with large number of elements, for fast and accurate detection of weather observations.

The beamforming weights are computed by a convolutional neural network (CNN), which is trained with input–output pairs obtained from the Wiener solution.

To validate the robustness of the CNN-based beamformer, it is compared with the traditional beamforming methods, namely, Fourier (FR) beamforming and Capon beamforming. Moreover, the CNN is compared with a radial basis function neural network (RBFNN) which is a shallow type of neural network. It is shown that the CNN method has an excellent performance in radar signal simulations compared to the other methods. In addition to simulations, the robustness of the CNN beamformer is further validated by using real weather data collected by the phased array radar at Osaka University (PAR@OU) and compared to, besides the FR and RBFNN methods, the minimum mean square error beamforming method. It is shown that the CNN has the ability to rapidly and accurately detect the reflectivity of the PAR@OU with even less clutter level in comparison to the other methods.

Motivated by the inherit advantages of the CNN, this paper proposes the development of a CNN-based approach to the beamforming of PAR using both simulated and real data. In this paper, the CNN is trained on the optimum weights of Wiener solution. In simulations, it is applied on a large 32 × 32 planar phased array antenna. Moreover, it is operated on real data collected by the PAR@OU.

This paper aims to compare the surface roughness and hardness of three commercially available self-curing acrylic resins for dental use, under different polymerization conditions.

A comparative in vitro study was conducted using a convenience sample of 12 × 5 × 2 mm blocks with n = 40 for each material (Nic Tone, Arias Plus and Orthocryl®), with subgroups according to the polymerization method: conventional (C) and polymerization under ambient conditions (A). The surface roughness of the materials was measured using a profilometer; hardness was measured with a portable hardness tester. Additionally, surface morphology as well as particles size and morphology were evaluated with scanning electron microscopy.

There were significant differences in roughness and hardness values between the three self-curing acrylic resins (p < 0.05), as well as within each self-curing acrylic resin according to the polymerization method used (p < 0.05). The samples polymerized with the conventional method presented lower surface roughness and hardness values.

This study provides scientific evidence of values not provided by manufacturers in relation to the surface roughness and hardness of these materials, and all of them met the ideal minimum values of surface roughness, regardless of the polymerization technique used.

The purpose of this paper is to conduct a comprehensive review on the implementation and the effect of Japan's Stress Check Program, a national program to monitor and control workplace psychosocial factors that was initiated in December 2015.

We comprehensively reviewed articles published in Japanese and English, assessed the performance of the Stress Check Program and summarized future challenges. We also discussed the implications for practice.

The available literature presented a scientific basis for the efficiency and validity of predictions using the Brief Job Stress Questionnaire, which is the instrument recommended to screen workers with high stress in the program. No study has verified the effect of the program on workers' mental health by using group analysis of stress check results. There is room for improvement in tools that contribute to identifying workers with high stress and in measures for improving the work environment. The Stress Check Program contrasts with risk management of psychosocial factors at work, widely adopted in European countries as a strategy for improving workers' mental health by focussing on the psychosocial work environment.

Although the effectiveness of the Japanese program needs further evaluation, future developments of the program would provide insight for national policies on psychosocial risks/psychosocial stress at work.

This paper is the first systematic review on the implementation and effects of Japan's Stress Check Program.

The paper provides an overview of research published in the innovation and operations management (IOM) literature on 15 methods for cost management in new product development, and it provides a comparison to an earlier review of the management accounting (MA) literature (Wouters & Morales, 2014).

This structured literature search covers papers published in 23 journals in IOM in the period 1990–2014.

The search yielded a sample of 208 unique papers with 275 results (one paper could refer to multiple cost management methods). The top 3 methods are modular design, component commonality, and product platforms, with 115 results (42%) together. In the MA literature, these three methods accounted for 29%, but target costing was the most researched cost management method by far (26%). Simulation is the most frequently used research method in the IOM literature, whereas this was averagely used in the MA literature; qualitative studies were the most frequently used research method in the MA literature, whereas this was averagely used in the IOM literature. We found a lot of papers presenting practical approaches or decision models as a further development of a particular cost management method, which is a clear difference from the MA literature.

This review focused on the same cost management methods, and future research could also consider other cost management methods which are likely to be more important in the IOM literature compared to the MA literature. Future research could also investigate innovative cost management practices in more detail through longitudinal case studies.

This review of research on methods for cost management published outside the MA literature provides an overview for MA researchers. It highlights key differences between both literatures in their research of the same cost management methods.

The characteristics of businesses change with the change in ownership structure of the business. This study examines the change in ownership structure of the firm after the departure of lone founders, and its influence on dividend payout decisions of the firm.

The authors employed 4,302 firm-year observations of non-financial firms listed on Pakistan Stock Exchange over the period 2007–2021. To test the hypotheses, the authors employed ordinary least squares regression, and additionally, generalized method of moments estimation and fixed effect analysis were applied to check for the robustness of results.

Using the lens of agency theory and social identity theory, the authors report that the presence of lone founder (family owners) is negatively (positively) associated with dividend payout, however, transition of lone-founder ownership to family-owned and family-managed firm leads to more dividend payout, whereas its transition to family-owned and non-family-managed firm results in lesser dividend payments.

This study provides novel insight into the strategic behavior of lone founders and extend the limited family business heterogeneity literature by examining the effects of ownership transition and its influence on firm's dividend payout decisions.

Audit hour reporting is rare internationally. Thus, to what extent shareholders have the power to influence audit effort/hour demand is a question left unanswered. This study aims to use unique South Korean data to determine whether the increasing power of the largest foreign/domestic shareholders and blockholders can influence audit hour demand.

In this study ordinary least squares (OLS) regression analysis is conducted using a sample of Korean listed firms over the 2004–2018 sample period.

The results show: as the percentage equity holding of the largest foreign shareholder and blockholder (>5%) increases, audit hour demand increases. As the shareholding of the largest domestic shareholder increases, audit hour demanded decreases. The association between audit fees/hours is not qualitatively indifferent, after controlling for the audit fee premium effect. Furthermore, the largest foreign shareholder is shown to demand increasingly higher levels of audit hours from Big4 auditors, relative to NonBig4. All results are consistent with audit demand theory.

Whilst previous studies offer audit fee/risk interpretations, this study extends the literature by developing a framework to explain why audit hour demands differ for specific groups. Because audit hour information is rare internationally, the study has important policy implications.