Forthcoming articles

Asian Journal of Management Science and Applications

Asian Journal of Management Science and Applications (AJMSA)

These articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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Asian J. of Management Science and Applications (6 papers in press)

Regular Issues

  • Information Embedded in Options Open Interest and their Utility in Directional Trading   Order a copy of this article
    by Avinash ., T. Mallikarjunappa 
    Abstract: This paper investigates whether information embedded in open interest is informative in directional trading using daily data on Nifty50 options and 10 popular company stock options listed at NSE for the financial year between 2011 and 2016. We then predicted stock price at the options expiration based on OI distribution. We assume option market is informationally efficient based on empirical evidence and then compare the performance of three directional trading strategies with its non-directional variant. The results show that the OI based active strategies perform better than passive strategies and hence, they can be used to predict the direction of price movement and to strategise direction based trading using stock and options.
    Keywords: Active Strategy; Directional Trading; Non-price; Open Interest; Options; Passive Strategy; Prediction; Price Movement.

  • IDENTIFYING THE KEY INDICATORS OF FINANCIAL STABILITY AND FINANCIAL DEVELOPMENT: A REVIEW OF FINANCIAL SERVICE SECTOR   Order a copy of this article
    by Rahul Dhiman 
    Abstract: Abstract: The present study makes an attempt to study the major indicators used in the previous studies for examining the financial development and financial stability in order to select the market. This study is conducted as a systematic review based on an assessment of papers on international published in academic journals between 1991 and 2015. The findings of the study reveal that there is the existence of mixed proxies/indicators of financial development and financial stability in the literature of financial services sector. The variable that has received much attention in the empirical literature on financial development is a private credit to GDP ratio. Similarly, foreign currency loans as a percentage of total loans and loan to deposit ratio are indicators to examine financial stability. The common methodological trends found in the literature are Granger causality tests and disclose the existence of unidirectional, bidirectional or no causality. In order to examine the long-run relationship, Johansen co-integration tests are used in the literature. The study recommends that in the countries where the financial system is weak, and where immediate, full-fledged financial sector liberalisation is not advisable, can open up certain types of financial services trade, and hence may not finalise that nation as a select market.
    Keywords: Strategic framework; Financial Services; Financial development; financial stability.

  • A Near-Optimal Policy and its Comparison with Base stock and Kanban policies in a Two-Stage Production and Inventory System with Advance Demand Information   Order a copy of this article
    by Koichi Nakade, Shizuru Tsuchiya 
    Abstract: Base stock and (Extended) Kanban policies have been analyzed as basic and simple production and inventory policies. On the other hand, advance demand information (ADI) is useful for controlling production and inventory systems, and the production control with ADI has been discussed in a decade. In addition, if the order and production are made corresponding to the state of the system, more profits are expected to be achieved. To derive a state-dependent dynamic policy, an approach of Markov decision processes can be used. Deriving an optimal policy is difficult for the large-size problem, however, because of the curse of dimensionality. In this paper, Two-Phase Time Aggregation Algorithm (Arruda and Fragoso (2015), TA-algorithm) is applied to a two-stage production and inventory system with advance demand information. From observation in numerical examples for the small dimension problem, modification of TA algorithm leads to convergence to better near-optimal policies. Numerical results show effectiveness of the modification, and the derived near-optimal policies are compared with base stock and extended Kanban policies.
    Keywords: Markov decision process; advance demand information; algorithm; kanban; base stock; policy iteration; time aggregation.

  • A Study of Total Optimization Model for Supply Balance in Electric Power Market Network   Order a copy of this article
    by Jing Sun, Yuna Mori, Koichi Nakade 
    Abstract: This paper aims to derive optimal combination of electric powers for supply balance of electric power market network. As traditional combination of electric powers, hydro, fuel and nuclear power are developed in order to provide electricity for modern living in a stable manner at the lowest prices. Recently, due to the problems of CO2 emissions, fuel price increase and safety measures of nuclear power plants, the increase of renewable energy in Energy Mix became an important issue of electric power industry. In this paper, first, an electric supply model for calculating the optimal Energy Mix considered with safety, economy and environment is proposed, then, a total optimization stochastic model for supply balance considered electric power supply capacity and reliability is developed, finally, a case study of Japan power market is conducted. The results of numeric experiment show that the proposed models are useful for setting of the optimal Energy Mix.
    Keywords: Stochastic programming; Renewable energy; Power market network.

Special Issue on: Smart Society

  • Long-distance delivery route planning using a commercial electric vehicle including the arrangement of charging stations   Order a copy of this article
    by Masato Takanokura, Daisuke Kitayama, Ryo Tamura, Mitsuharu Ogiya 
    Abstract: The electric vehicle (EV) is a key factor in achieving building smart cities. The EV is driven by an electric powered motor with a storage battery; therefore, it does not exhaust gases harmful to the environment. In this study, long-distance delivery route planning is performed with a commercial EV including the arrangement of charging stations. The delivery area is set based on the Kanto and Chubu areas of the Japanese archipelago. The EV delivers some goods through the motorway for distance of approximately 500-700 km. The maximum travel distance of the EV is assumed to be 150 km. The EV is recharged to a stored battery at a service or parking area on the motorway by a recharging station if it cannot travel to the next one. Two delivery patterns are considered so that the EV is required to loading and unloading activities at a distribution point. The shortest path is calculated using the Dijkstra method, and three performance indexes are considered for long-distance delivery: carbon dioxide emissions, delivery activity costs, and delivery time. The analytical result shows that the EV should recharge four or five times during its delivery activity, leading to a longer delivery time. However, carbon dioxide emissions and delivery activity costs are lower than gasoline vehicles. This result indicates that the EV is a powerful tool to achieve smart cities for long-distance delivery for smart society.
    Keywords: motorway logistics; carbon dioxide emissions; delivery activity costs; delivery time; case study.

  • Regression model for estimating thermal resource usage in air conditioning systems: daily demand forecast by potential integral method, considering thermal inertia of room and weather conditions   Order a copy of this article
    by Sho Ikawa, Kaoru Kuramoto, Satoshi Kumagai, Shuuzo Kishima 
    Abstract: Air conditioning systems are required to achieve both the maintenance of energy conservation and proper control of room environment. Nonetheless, both the building manager and the user (i.e., room resident) are typically ignorant about the amount of air conditioning thermal resources being used by a particular room. Herein, we propose a method to predict the daily demand of thermal resources for individual rooms, considering their thermal characteristics. The amount of thermal resource consumption of individual rooms was predicted. A prediction model of the next-day consumption was also developed. The obtained results indicated that the influence of enthalpy at the end of the previous day was strong, and that the influence of the average temperature of the external factors was small.
    Keywords: air conditioning system; prediction model; thermal resource.