Biogeography based optimization for mining rules to assess credit risk

Financial institutions, by and large, rely on the use of machine learning techniques to improve the classic credit risk assessment model for reduction of costs, delivery of faster decisions, guaranteed credit collections, and risk mitigations. As such, several data mining and machine learning approaches have been developed for computation of credit scores over the last few decades. Moreover, the existing rule-based classification algorithms tend to generate a number of rules with a large number of conditions in the antecedent part. However, these algorithms fail to demonstrate high predictive accuracy while balancing coverage and simplicity. Thus, it becomes quite a challenging task for the researchers to generate an optimal rule set with high predictive accuracy. In this paper, we present an effective rule based classification technique for the prediction of credit risk using a novel Biogeography Based Optimization (BBO) method. The novel BBO in the context of rule mining is named as locally and globally tuned biogeography based rule-miner (LGBBO-RuleMiner). This is applied for discovering optimal rule set with high predictive accuracy from the dataset containing both the categorical and continuous attributes. The performance of the proposed algorithm is compared against a variety of rule-miners such as OneR (1R), PART, JRip, Decision Table, Conjunctive Rule, J48, and Random Tree, along with some meta-heuristic based rule mining techniques by considering two credit risk datasets obtained from University of California, Irvine (UCI) repository. It is found from the comparative study that the proposed rule miner in ten independent runs of ten-fold cross validation outperforms all of the aforesaid algorithms in terms of predictive accuracy, coverage, and simplicity.     

A systematic literature review to integrate lean,agile, resilient,green and sustainable paradigms in the supply chain management

The main focus of this study is to conduct a systematic literature review to integrate lean, agile, resilient, green and sustainable (LARGS) paradigms in the supply chain (SC) domain. To achieve this aim, several research questions were designed: First, how to locate LARGS research in context of SC domain? For this, it is important to understand which types of research articles should be selected for the study? Further, where such studies were conducted (geographical location)? Second, what is the focus of research in LARGS paradigm in SCs? For this, it is important to study, which types of industries or sectors have been targeted in literature? In addition, which tools and techniques have been used mostly? Third, what are the current trends in the relationships of LARGS paradigms, among themselves, and with SC performance measures? Fourth, what are the emerging issues, unexplored areas in this field, based on these what could be future research avenues in this subject domain have been proposed? A total of 160 relevant articles published during 1999–2019 were used for analysis. Based on analysis, findings are summarised, and main research issues and possible future research directions in LARGS paradigms in SCs are highlighted.     

Emissions permit allocation and strategic firm behavior: Evidence from the oil sector in the European Union emissions trading scheme

With the growing urgency of climate change, governments around the world are increasingly implementing new regulations for greenhouse gases. This trend elevates the importance of examining how firms engage in strategic efforts to influence regulations before they are in place and how they respond once they are in effect (i.e., their ex‐ante and ex‐post strategic behavior). This paper examines the outcomes of such strategic efforts by multinational and domestic oil companies within the European Union emissions trading scheme. An analysis of a panel dataset of oil firms (2008–2012) shows that on average the outcome of ex‐ante strategies did not differ significantly between multinational companies (MNCs) and domestic firms. However, the findings indicate that among those firms that received positive net benefits from the new climate policy, domestic firms were able to maximize these benefits better than MNCs through their ex‐post strategies. In contrast, among the firms that faced net costs due to the policy, MNCs were able to minimize these costs better than domestic firms, ex‐post. This paper advances our understanding of whether and to what extent MNCs differ from domestic firms in their economic outcomes stemming from strategic behavior related to emissions trading. This question is especially pertinent for regulations related to climate change, which is one of humanity's grand challenges and has important consequences for our economic, social, and political systems.     

Implementing studio-based learning for design education: a study on the perception and challenges of Malaysian undergraduates

Studio-based learning (SBL) is a teaching and learning methodology that combines different learning pedagogies such as social constructivist, problem-based, and active learning to mimic real-world working experience. Traditionally, SBL is practised in architecture and art programmes, however there is a growing number of research in other areas such as computer science, engineering, entrepreneurship and design courses. Nevertheless, in Malaysia, studies have only focused on architecture programmes. Therefore, this study focuses on reporting the experience and challenges of implementing SBL for a design course in the area of Visual Communication. By employing a qualitative methodology, findings show positive perception towards SBL where respondents reported awareness in improved design and communication skills, and increased acceptance towards team work. They found the critique sessions, facilitated their learning progress. Nevertheless, students reported challenges with inept teaching and learning facilities for design work, collaboration and communication breakdown with stakeholders. The study also reports on improvement strategies to enhance students learning experience through SBL.

     

Managing distance in international purchasing and supply: a systematic review of literature from the resource-based view perspective

The aim of this research is to find out how the extant literature on international purchasing and supply management (PSM) covers the elements of capability from the perspective of distance. A priori, we form a framework of capability driving elements and conclude that distance—in its multiple dimensions—is the fundamental management aspect in international PSM. Equipped with analytical frameworks and a bottom–up process for identifying emergent themes, a systematic literature review was conducted on a representative sample of scholarly literature on international PSM, using the NVivo analysis software and a data display as tools. We identify several capability relevant themes from the literature, and provide a distance-based a posteriori conceptualisation of international PSM, founded in the information processing theory, with the source-user, user-user and source-source distance types driving the information processing requirements, and loading avoidance, policy-based and enhancement mechanisms determining the information processing capacity.     

Does diversity matter? A fresh inquiry into the energy,economy and environment nexus

ABSTRACT

The article extends the literature on the nexus among economy, environment and energy by incorporating an index of electricity generation diversity in production and emission functions. The index is mathematically equivalent to Herfindahl–Hirschman index. The index captures substantial information regarding the ongoing energy transition at the global level. The results obtained through pooled mean group estimation, on a dataset of fairly diversified group of countries, indicate that if diversity index increases by a percentage point, per capita income increases by 2.4% and per capita emissions are reduced by 0.71%. This is against the conventional wisdom in favour of specialization. The study has found some interesting long-run causal pathways. Firstly, the causality runs from diversification to income. Secondly, there is a causality running from electricity consumption to specialization. Thirdly, bi-directional causality runs between emissions and specialization. The results have interesting policy implications. The study supports the growth hypothesis that the electricity consumption drives the economy. As this inevitably increases emissions, a better pathway is through diversification. The fossil fuel intensive pathway may have been the preferred choice in the past for countries with low electricity consumption; the diversified portfolio appears to be prudent in the future.     

Developing firms' growth approaches as a multidimensional decision to enhance key stakeholders' wellbeing

Firms facing a dynamic marketplace associated with the increasing adoption of new-age technology, the growth of big data and analytics, and the increased importance of stakeholders seek guidance on the investment of scarce resources across these three primary dimensions. The key questions facing firms are: How can we capitalize on the three primary dimensions (the increasing new-age technology adoption, the growth of big data and analytics, and the increased importance of key stakeholders) and overcome their associated challenges to achieve sustainable firm growth? This study aims to revive the thinking based on the growth strategy literature in the current environment, by presenting a 4E growth strategy matrix comprising of entrenching, empowering, enterprising, and enriching growth strategies. We propose that a firm can invest resources to maximize on one, two, or all three primary dimensions to produce the four growth strategies. We present an organizing framework based on insights from our triangulated research approach. Each of the growth strategies discussed will result in building certain types of firm capabilities, which will then lead to serving the needs and well-being of the key stakeholders. We also present an extensive research agenda that emerges from the four growth strategies.     

Five decades of the Journal of Consumer Affairs: A bibliometric analysis

This study presents a retrospective of the Journal of Consumer Affairs (JCA) using bibliographic analysis between 1967 and 2019. The results indicate that both the number of JCA's publications and citations grew markedly over time. The dominant contributors to the journal are authors affiliated with U.S. institutions. Trends show increasing organizational diversity and collaboration among authors. The journal's central themes are consumer perception, consumer behavior, financial behavior, consumer spending patterns, financial literacy, consumer decision‐making processes, and marketing practices. Statistically significant relationships exist between the following article attributes and citations based on our negative binomial regression analysis. Age has a negative association with citations, but the direction of association turns positive when considering non‐linearity. A positive association exists between the number of authors, references, and U.S. affiliation. A negative relationship exists with article order, non‐academic author, top institution affiliation (FT100), funding, lead article, title length, and conceptual article.     

A decision model for evaluating job alternatives

This study attempts to build a decision model to evaluate job alternatives for doctoral students. The decision model is based on the Von Neumann-Morgenstern utility function as well as the measurable value function. In the case of uncertainty, the utility function can order only preferences. In the case of certainty, the measurable value function can order both preferences as well as preference differences. The utility function is tested for the presence of the strength of preference concept using the theorem of “Substitution of Equal Exchange”. A methodology has also been proposed to obtain responses to the utility function and then transforming that function to a measurable value function. The importance of the concept of ordering preference differences and incorporating risk measure is revealed by the superiority of the measurable value function over the utility function in terms of predictive validity.     

Technological upgrading and energy demand scenarios for Indian railways—A system dynamics study

This paper presents a system dynamics model of the Indian railway system and generates probable scenarios of its performance up to the year 2011. The basic structure of the model, the relationships between the interacting variables, and the generic flow diagrams used for developing the model are discussed in detail. In generating the scenarios, probable changes in the railway system and in the national socioeconomic environment in which it works are considered. In particular, introduction of technological innovations in the railways and their impact on railway energy demand are examined in detail.