Atsuho Nakayama

Tokyo Metropolitan University | TMU · Department of Business Administration

Sustainability has become the prevailing paradigm, a model of conduct, and a central theme in social and media discourses within the past decade. However, it is still a marginal development concept in the interdisciplinary research field dealing with sustainability communication, especially with meaning-making processes in relevant communicative, f...

Since the end of the twentieth century, creation and transfer of knowledge beyond “time & space (border)” have been promoted like never before in two forms: intra-firm and inter-firm networks, mainly due to the evolution of ICT based on digital and software technology. In the new R&D paradigm, the competitiveness of the company in the global market...

Consumers’ personal interests are influenced by new product strategies, such as marketing communication schemes, and these can change over time. Thus, it is important to consider temporal variation in trending consumer interests. We aimed to detect temporal variations in consumer web communication data using weight coefficients between entries and...

In the consumer goods industry, unique brand positionings are assumed to be the road to success. They document product distinctiveness and so justify high prices. However, as products are getting more and more interchangeable, brand positionings must rely—at least partially—on supporting advertisements. Here, especially ads with visual content (e.g...

The k-means non-hierarchical clustering is one of the most widely used methods to partition a dataset into groups of patterns. An advantage of the k-means calculation process is that it is simple and convenient. However, the k-means method converges to one of many local minima, in which the final result depends on the initial starting points. Thus,...

Today, many marketers analyze large online word-of-mouth (WOM) data sets of social networking services (SNSs). We previously studied the relationship between online WOM on SNSs and product sales (Tsurumi et al. 2013). The results revealed an indirect effect, whereby TV advertisements increased sales via tweets. In this study, we tested the generali...

Social media have opened up new opportunities for the creation of innovative public relations strategies focused on establishing and cultivating relationships with stakeholders on the basis of meaningful dialogue. Consideration of the interrelation between corporate social responsibility (CSR) and public relations highlights new areas for explorati...

This book focuses on the latest developments in behaviormetrics and data science, covering a wide range of topics in data analysis and related areas of data science, including analysis of complex data, analysis of qualitative data, methods for high-dimensional data, dimensionality reduction, visualization of such data, multivariate statistical meth...

This paper examines to what extent research and development (R&D) capabilities have geographically disseminated and dispersed worldwide, analyzing scientific papers and patents as R&D outputs. As a result, global dispersion was revealed using Lorenz curve and Gini Coefficient, in the main field of scientific journals from INSPEC; Physics, Electrica...

This study attempted to detect trending topics and temporal variation in web communication topics regarding new products among consumers using social media. This was done by classifying words into clusters based on their co-occurrence. We collected Twitter entries about new products based on their specific expressions of sentiment or interest. Beca...

Various studies have examined multi-way proximity generalizations of multidimensional scaling (MDS). Some of these have proposed one-mode three-way proximity data analyses to investigate triadic relationships among three objects. However, the results of a triadic distance model are generally similar to those of a one-mode two-way MDS. Moreover, no...

The purpose of this study was to examine the necessity for one-mode three-way multidimensional scaling analysis. In many cases, the results of the analysis of one-mode three-way multidimensional scaling are similar to those of one-mode two-way multidimensional scaling for lower dimensions, and, in fact, multidimensional scaling can be used for low...

Recently, several major advances in models of asymmetric proximity data analysis have occurred. These models usually do not deal with the relationships among three or more objects, but instead, those between two objects. However, there exist some approaches for analyzing one-mode three-way asymmetric proximity data that represent triadic relationsh...

The objective of this chapter is to identify a directional shift toward the decentralization of scientific technological knowledge-creation by Multinational Enterprises (MNEs) in the global market and to determine the extent to which MNEs leverage local knowledge. Therefore, we investigate how firms can retain competitive advantages from the viewpo...

In recent years, it is possible to more easily obtain multi-way data, and various analysis models for the data have been suggested by several researchers. However, only small number of studies have been done on the one-mode multi-way data analysis model. The authors suggested an overlapping cluster analysis model for one-mode three-way similarity d...

Some models have been proposed to analyze one-mode three-way data [e.g. De Rooij and Gower (J Classification 20:181-220, 2003), De Rooij and Heiser (Br J Math Stat Psychol 53:99-119, 2000)]. These models usually assume triadic symmetric relationships. Therefore, it is general to transform asymmetric data into symmetric proximity data when one-mode...

The present paper introduces an overlapping cluster analysis model and an associated algorithm that can analyze one-mode three-way similarities. The present model is an extension of ADCLUS model, and the present algorithm is based on the MAPCLUS algorithm. In the present model, one-mode three-way similarities are represented by the sum of the numer...

When we use multidimensional scaling (MDS) to analyze a dataset in which the magnitude of the values considerably differ (vary) among objects, for example, customer purchase history data, it often occurs that the only points of objects with large values scatter well in the configuration, but the others with small values do not scatter well. It is s...

The purpose of the present article is to show the frameworks of consumer's multiple purchase behaviors and the influences of store arrangement on these frameworks. There has been an increasing interest in consumer's multiple purchase behaviors. Thus, many significant studies have been made on consumer's multiple purchase behaviors. Most of these st...

This article proposes a model that facilitates the analysis of triadic relationships among three objects. Recently, interest in studies of three-way data models has increased, and many significant contributions have been made in this area. However, one-mode, three-way models have yet to be considered. This study focuses on a one-mode, three-way mod...