How to build a business ecosystem is an important issue for companies. So far businessdiversification has often been discussed from the view point of "conglomerate discounts" and "selectionand concentration". On the other hand, recently the necessity of "open innovation" through collaborationamong various companies has been extensively discussed. In this research, a large-scale corporateinformation database is used to construct and visualize corporate networks based on corporate capitalrelations. Then from the viewpoints of business diversification, decentralization and openization, we clarifythe characteristics of parent companies and capital networks of major corporate groups and quantitativelyanalyze the relation between these characteristics and the profit of the companies.
Various information and creative ideas are required for the business activities. Besides, onetheory in the diversity management shows that a diversified organization increases various information andimproves the quality of solving problems. Therefore, the aim of this study is to clarify the factor ofcommunication that produces diverse opinions by using the faultline perspective in the diversitymanagement. Specifically, the text data of the business discussions are analyzed to check the transition oftopics and the diversity of participants' remarks is measured. Thereby, this paper shows the relationshipbetween the transition of topics and the diversity of remarks. Additionally, it shows the role of the facilitatorin causing various remarks.
There are also many studies that suggest that the characteristics of managers, such as theirbackground, orientation, and age, have some influence on the performance and behavior of companies. Inthis paper, we analyze the relationship between managerial face and corporate behavior, especially R&Dinvestment, after focusing on face as one of the important components of appearance. We classified the facetypes of managers into several patterns and analyzed the impact of these types on corporate behavior.as aresult, it was confirmed that managers classified in one cluster tend to invest more actively in R&D thanthose classified in the other clusters.
Evidence Based Policy Making (EBPM) has been attracting attention for policymaking in Japan. In order to realize EBPM, it is essential to have data as evidence. However, itis costly to collect such data, and it is difficult to design data and analysis to determine what kindof data is best. we cannot wait until we have enough usable data to implement EBPM. Therefore,it is necessary to combine empirical research methods such as quasi-experiments and theoreticalresearch such as Agent Based Simulation (ABS), and to develop a method to analyze the data.In this paper, we will discuss the concept and how it can be applied to the analysis of EBPMeven when sufficient data is not available. This paper presents the concept and the results of theanalysis using a prefectural dental health ordinance as a case study.
In this paper, we propose a method to show the characteristics of knowledge inheritance and diffusion based on thecoauthor networks of academic papers. We construct coauthor networks from highly cited papers and retracted papers inacademic literature database, and create genealogies of researchers using authorship information. Then we compare andanalyze the characteristics of the genealogies using indexes such as extension / elongation, researcher's discipleship /colleagueship, etc. between each paper groups. In addition, based on the results of analysis by the proposed method, wewill discuss research activities from the organizational perspective.
Gas and electric power are one of the essential social infrastructure for social and economicactivities. The purpose of this research is to construct a gas' consumption model suitable for thedistribution and sales market of LP gas in Japan by utilizing temperature. As a method of predictingdemand, we would like to first create a model of power consumption and then apply it to LP gas. Analysisof customers' electric power and gas consumption can infer from what standpoint they were consumingpublic goods. Through this, we would like to offer users' reasonable prices to expand their choices andcontribute to the efficient use of social resources.
Agent-based-Simulation can be used to study the impact of individual decisions on the overalloutcome. There has been a lot of research focused on giving the agent the ability to learn, especially thereare studies that analyze corporate organizations using reinforcement learning. We focus on the electionphenomena that there are often cases where popular candidates are suddenly overtaken by others in theelection campaign. We try to use the characteristic of overfitting of neural networks and conditional reflexlearning, such as the "Pavlov's dog" effect, to explain the phenomena.
In this study, we propose an archetype model that describes the self-resources allocationbehavior of individual agents in social and organizational simulations, and examine the applications of themodel. In social and organizational simulations, agents choose their actions according to their ownobjectives or preferences. However, the agent's objective or preference variables are not always consistentwith the objective variables of the society or organization. The relationship between objectives andresources is also neither clear nor permanent. Then, for observing the long-term behavior of agents, itmay be interesting to consider flexible relationships in the agent's objective and resource variables as well.In this paper, we propose an archetype model that consists of variables with different properties related toconstraints and growth in the agent's self-resources. In this model, the agent's self-resource variables forma network of input-output relationships with each other, and change dynamically. We propose to applythis model into the simulation of human capital formation policies of a society or an organization and thebehavioral changes of internal agents in response to these policies, or to the gaming simulation forunderstanding the behavioral preferences of customers in asset formation education.
The location is important for the real estate management business, but it is difficult to bequantified. As a case study of the Shimokitazawa station, the correlation analysis of retail rent was examinedwith building and location measures. The location measures include KDDI's pedestrian data in each samplepoint from GPS of mobile phone because the recent IT development has enabled us to get pedestrian dataeasily. The result showed positive correlation between retail rent and the pedestrian data can be seen.