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The purpose of this paper is twofold: to identify the supply chain risks in the automotive and electronic industries in Brazil, and to highlight the urgency of supply chain risk management (SCRM) implementation.

It uses exploratory study methodology in the automotive and electronic industries, taking in consideration of the (SCRM) phase of initiation.

There are significant practices to implement SCRM: better supply chain communication, SCRM and business continuity planning training program, and the creation of a chief risk officer position to manage the supply chain risks.

The limitation of this study comes from its small sample size. There are two simple reasons: many companies did not know SCRM and thus misinterpreted the information about SCRM.

This case study promotes more preparedness for the two industries to manage the risks of supply chain.

This study shows the risks that surround the supply chain in the automotive and electronic industries in Brazil and how these industries can implement SCRM in a successful way.

The purpose of this paper is to propose the development of return forecasting model for mudharabah time deposit product in Islamic bank based on artificial neural networks (ANNs).

The analysis consists of two main elements. First element is the identification and selection of significant macroeconomic variables that determine return volatility of mudharabah time deposit in Indonesian Islamic bank industry. Second element is the implementation of appropriate ANNs model according to neural networks properties, and model evaluation based on simulated return predictions of mudharabah time deposit product in Bank Syariah Mandiri (RR‐BSM).

It is shown that monthly changes of return can be predicted quite well. The model provides a satisfactory result in forecasting RR‐BSM for 12 months ahead with 95.22 per cent accuracy. These results suggest that the ANNs can be applied as an adequate tool to help depositors in predicting future return of mudharabah time deposit product.

There is believed to be no other empirical study of Islamic banks that exclusively examines the utilization of ANNs to forecast time deposit return as well as return from other investment instruments.

This chapter explores what video games can teach us in light of the ongoing sixth mass extinction in the history of our planet, allegedly caused by global warming and the over-consumption of vital resources. Games made and played by nonhuman actors can shed light on the situatedness and partiality of our knowledge regarding the boundaries that separate and differentiate human and nonhuman, interactivity and passivity, entertainment and boredom, and life and death. Nonhuman games help us to articulate the space and time in-between these dualisms and have the potential to re-route gaming (and game studies) from false myths of agency, interactivity, and instrumentalism, and the masculinism inherent in these notions. Nonhuman games are companions for earthly survival, and as such they can be taken as useful references when considering a more ethical approach to the ecological crisis of the Anthropocene. The chapter investigates notions of posthumanism, interpassivity, and contemporary critiques of the early assumptions of game studies on the agency of human players. It looks at video games that play by themselves, idle and incremental games, and the emergence of nonplaying characters in ludic and open-world simulations. It explores forms of automatic play and the use of bots and Artificial Intelligence (AI) in online role-playing games, procedurally generated virtual environments, and games that far exceed the lifespan of their players.

The purpose of this paper is to examine the challenges of Japanese political leadership in combating corruption with an emphasis on the 1970s and 1980s when Tanaka Kakuei and Miki Takeo led Japan.

This paper discusses the perceived extent of corruption in Japan, the importance of Japan’s gift-giving culture, and examines the efforts of Miki Takeo and the consequences of his political reforms for Japanese politics. Comparison is made with his predecessor, Tanaka Kakuei, to highlight the differences in combating corruption between both leaders.

Compared to Tanaka Kakuei, who was highly corrupt, Miki Takeo left a mixed legacy. He managed to revise campaign finance laws but lacked the political will and support from his party. The reforms he implemented failed to reduce money in politics, but they favoured the opposition in the collection of funds.

This paper will be useful to scholars and policy-makers interested in studying the role of leaders in curbing corruption and the challenges of political reform.

The author examines the experiences of learning about Japanese elementary education from the perspective of a Canadian teacher. She suggests through a year-long study in a Japanese third grade classroom that the teaching practices and philosophies underlying curricular and pedagogical decisions made by teachers are shaped by the culture and society of which schools are part, such that learning about Japanese schooling highlights the influence of social, societal, cultural, linguistic factors outside, as well as inside, school. In line with narrative inquiry research practices, the author also acknowledges her own stance as a certified elementary level teacher who was educated and certified in Canada, in contributing to shaping her analysis of teacher knowledge of her teacher participants. She argues that the process of learning about schooling in a country or culture different from the one in which an individual was educated and learned to teach, involves immersing oneself into the research context to learn about the experience from the perspective an insider. Realization of the extent to which this expansive interweaving of school and society is apparent in many aspects of schooling in Japan, in turn, reinforces the idea that this interconnection may also underlie schooling in other societies as well, such that one's experiences in one's own culture may form the foundation for understanding and interpreting knowledge gained about schooling in another culture or community. The notion of cross-cultural teacher knowledge, then, may be grounded in personal and professional experience of teaching and being taught in one's own culture.

Nowadays there are a large number of XML documents on the web. This means that information retrieval techniques for searching XML documents are very important and necessary for internet users. Moreover, it is often said that users of search engines want to browse only relevant content in each document. Therefore, an effective XML element search aims to produce only the relevant elements or portions of an XML document. Based on the demand by users, the purpose of this paper is to propose and evaluate a method for obtaining more accurate search results in XML search.

The existing approaches generate a ranked list in descending order of each XML element's relevance to a search query; however, these approaches often extract irrelevant XML elements and overlook more relevant elements. To address these problems, the authors' approach extracts the relevant XML elements by considering the size of the elements and the relationships between the elements. Next, the authors score the XML elements to generate a refined ranked list. For scoring, the authors rank high the XML elements that are the most relevant to the user's information needs. In particular, each XML element is scored using the statistics of its descendant and ancestor XML elements.

The experimental evaluations show that the proposed method outperforms BM25E, a conventional approach, which neither reconstructs XML elements nor uses descendant and ancestor statistics. As a result, the authors found that the accuracy of an XML element search can be improved by reconstructing the XML elements and emphasizing the informative ones by applying the statistics of the descendant XML elements.

This work focused on the effectiveness of XML element search and the authors did not consider the search efficiency in this paper. One of the authors' next challenges is to reduce search time.

The paper proposes a method for improving the effectiveness of XML element search.