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Article
Publication date: 10 May 2011

Shuk‐Wern Ong, Voon Choong Yap and Roy W.L. Khong

The objective of this paper is to develop a model that can predict financial distress amongst public listed companies in Malaysia using the logistic regression analysis.

Abstract

Purpose

The objective of this paper is to develop a model that can predict financial distress amongst public listed companies in Malaysia using the logistic regression analysis.

Design/methodology/approach

The logistic regression analysis used in this paper is geared towards developing a model that can predict financial distress amongst public listed companies in Malaysia.

Findings

The results prove that five financial ratios have been found to be significant and useful for corporate failure prediction in Malaysia. The overall predictive accuracy is 91.5 percent and this demonstrates that the logistic regression analysis used is a reliable technique for financial distress prediction. In addition, the predictive accuracy of the model in this paper is higher than that of previous studies, which utilised discriminant analysis rather than the method adopted in this research.

Originality/value

The economic crisis mostly began to affect Malaysia's economic standing in July 1997 causing many companies to fall into financial distress, as they were unable to cope with the unexpected downturn. A financial distress prediction model is therefore required to act as a predictor of Malaysian public listed companies' well‐being prior to a financial crisis and to gauge the warning signals of the onset of a downturn in order to strategize their survival techniques during this phase. This study focuses on public listed companies in Malaysia, thus the model adopted is tailored to suit the given context.

Details

Managerial Finance, vol. 37 no. 6
Type: Research Article
ISSN: 0307-4358

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Book part
Publication date: 30 April 2008

Kenneth D. Lawrence, Dinesh R. Pai, Ronald Klimberg and Sheila M. Lawrence

In this chapter, we analyze donor behavior based on the general segmentation bases. In particular, we study the behavior of the individual donor group's support for higher…

Abstract

In this chapter, we analyze donor behavior based on the general segmentation bases. In particular, we study the behavior of the individual donor group's support for higher education. There has been very little research to date that discriminates the donor behavior of individual donors on the bases of their donation levels. The existing literature is limited to a general treatment of donor behavior using one of the available classical statistical discriminant techniques.

We investigate the individual donor behavior using both classical statistical techniques and a mathematical programming formulation. The study entails classifying individual donors based on their donation levels, a response variable. We use individuals’ income levels, savings, and age as predictor variables. For this study, we use the characteristics of a real dataset to simulate multiple datasets of donors and their characteristics. The results of a simulation experiment show that the weighted linear programming model consistently outperforms standard statistical approaches in attaining lower APparent Error Rates (APERs) for 100 replications in each of the three correlation cases.

Details

Advances in Business and Management Forecasting
Type: Book
ISBN: 978-0-85724-787-2

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Article
Publication date: 1 May 1995

George T. Haley and R. Krishnan

Examines some of the more important types of model used inanalysing logistics problems. Discusses some of the developments incomputers, computer networks and software…

Abstract

Examines some of the more important types of model used in analysing logistics problems. Discusses some of the developments in computers, computer networks and software which are making the systems approach more feasible and desirable.

Details

International Journal of Physical Distribution & Logistics Management, vol. 25 no. 4
Type: Research Article
ISSN: 0960-0035

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Article
Publication date: 8 August 2016

Rafay Ishfaq, Uzma Raja and Shashank Rao

The purpose of this paper is to evaluate the interaction between inventory availability (scarcity) and pricing levels (price-leadership (PL)), and its effect on product…

Abstract

Purpose

The purpose of this paper is to evaluate the interaction between inventory availability (scarcity) and pricing levels (price-leadership (PL)), and its effect on product returns in the internet retail supply chain. Specifically, this paper investigates how supply chain managers can use inventory (seller-induced scarcity) and pricing (PL) levers to control product returns.

Design/methodology/approach

Empirical data of sales and product returns from an internet retailer is analyzed to identify the scale of the effect that product scarcity and PL has on product returns. These factors are considered in developing a sales-return process model which is used with empirical data in a simulation study. The study evaluates changes in product returns for different policy settings related to PL and inventory levels. Findings of the simulation study are validated using statistical analysis of empirical data.

Findings

PL and seller-induced product scarcity affect the rate of product returns; however, the scale of this effect depends on inventory and pricing decisions. The results identify an inflection boundary based on scarcity and PL levels which reverses this effect. This reversal is explained by underlying principles at play regarding buyers’ valuation of the sale and corresponding product attributes.

Practical implications

Supply chain managers in internet retail can leverage lower inventory under the seller-induced scarcity approach to improve revenues. However, reducing inventory levels beyond a threshold is counterproductive, due to an associated increase in product returns. Similarly, setting market competitive prices (PL) can help reduce product returns. Under the seller-induced scarcity condition, this effect is reversed for inventory levels below a threshold. Retailers can implement the methodology developed in this paper to identify the inventory-price threshold that can help increase revenues while keeping the rate of product returns at a manageable level.

Originality/value

This research extends prior work regarding the role of product scarcity and pricing on product returns and develops a deeper understanding of how these factors can be managed to control product returns in the internet retail setting.

Details

The International Journal of Logistics Management, vol. 27 no. 2
Type: Research Article
ISSN: 0957-4093

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Article
Publication date: 13 March 2017

Peihwang Wei, Li Xu and Bei Zeng

The purpose of this paper is to investigate the substitutability of corporate hedging and diversification in the real estate investment trusts (REITs) industry. The…

Abstract

Purpose

The purpose of this paper is to investigate the substitutability of corporate hedging and diversification in the real estate investment trusts (REITs) industry. The authors hypothesize that, relative to diversified firms, focused firms are more likely to be associated with hedging. The role of firm size is also analyzed.

Design/methodology/approach

The logistic regression approach is utilized to analyze the probability of hedging and the panel regression approach is used to examine the amount of hedging.

Findings

The authors find that, relative to diversified firms, firms focused on a single property type are more likely to engage in hedging. However, this finding is significant only for smaller firms, which implies a non-linear relation between hedging and firm size. The evidence is not as strong when firm focus is measured by geographic concentration. In terms of hedging amount, smaller firms’ average hedge ratio is greater than that of larger firms. For either small or large firms group, hedging amounts increase with firm focus measured by either property or geographic concentration and increase with firm sizes.

Research limitations/implications

The results imply that, relative to diversified REITs, REITs focused on a single property type are more likely to engage in hedging. However, this finding is significant only for smaller firms, which implies a non-linear relation between hedging and firm size. The evidence is not as strong when firm focus is measured by geographic concentration, suggesting that geographic concentration is perceived to be less risky than property type concentration. For either small or large firms group, hedging amounts increase with firm focus measured by either property or geographic concentration and increase with firm sizes, which implies that hedging amount does not depend on firm size. The sample period is limited to the years 2010 to 2013 because some data needs to be manually collected.

Practical implications

The results imply that REITs consider both property diversification and hedging in managing their risk.

Originality/value

The research represents an early attempt to investigate the relation between corporate hedging and diversification. The investigation into the REIT industry has several advantages such as a lower likelihood of using derivatives for speculation.

Details

Managerial Finance, vol. 43 no. 3
Type: Research Article
ISSN: 0307-4358

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Article
Publication date: 5 July 2011

Wilfrid Azan and Marc Bollecker

The present paper seeks to address the issue of MIS where developments in IT have had a significant impact on competencies.

Abstract

Purpose

The present paper seeks to address the issue of MIS where developments in IT have had a significant impact on competencies.

Design/methodology/approach

This paper explores this notion which has received little coverage in IS literature to date, with a focus on the field of accounting and management control. Many authors have voiced their uncertainty about how the control function will evolve in the future. In effect, IS developments challenge controllers' legitimacy if the latters' know‐how fails to keep up with technological developments. This paper analyses the makeup of controllers' competencies and, in particular, the need for the latter to be able to use ERP systems. It proposes the concept of technological contingency as a means to understand evolutions in ERP controllers' competencies in comparison with traditional controllers.

Findings

Technological progress broadens controllers' competencies, and ERP plays the role of a medium through which increased contingency takes place. Organisations of a certain size are compelled to implement ERP, leading to management controllers having to adjust their skills set. The study provides an ERP model to be used by controllers.

Research limitations/implications

The antecedents of the evolution can be more developed in another study.

Practical implications

The managerial impact is considerable. It is crucial for French university programmes to rapidly develop greater focus on ERP training, and job and skill referentials need to be updated in organisations, especially promotion, valorisation, evaluation, and career development systems. Being an IS specialist in a large corporation can confer real legitimacy as it becomes an imperative. For business organisations, interpersonal relations have changed completely; communication takes place through integrated tools and there is less face to face, but on the other hand relationships are pre‐ordained by IS tools. The way economic, accounting, and financial knowledge is disseminated will also change as it is communicated more explicitly.

Originality/value

To the best of the authors' knowledge, studies on management controllers' skills in an ERP environment are nonexistent. This is the first study on this subject.

Details

Journal of Modelling in Management, vol. 6 no. 2
Type: Research Article
ISSN: 1746-5664

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Article
Publication date: 3 April 2017

Ahmad Hakimi, Amirhossein Amiri and Reza Kamranrad

The purpose of this paper is to develop some robust approaches to estimate the logistic regression profile parameters in order to decrease the effects of outliers on the…

Abstract

Purpose

The purpose of this paper is to develop some robust approaches to estimate the logistic regression profile parameters in order to decrease the effects of outliers on the performance of T2 control chart. In addition, the performance of the non-robust and the proposed robust control charts is evaluated in Phase II.

Design/methodology/approach

In this paper some, robust approaches including weighted maximum likelihood estimation, redescending M-estimator and a combination of these two approaches (WRM) are used to decrease the effects of outliers on estimating the logistic regression parameters as well as the performance of the T2 control chart.

Findings

The results of the simulation studies in both Phases I and II show the better performance of the proposed robust control charts rather than the non-robust control chart for estimating the logistic regression profile parameters and monitoring the logistic regression profiles.

Practical implications

In many practical applications, there are outliers in processes which may affect the estimation of parameters in Phase I and as a result of deteriorate the statistical performance of control charts in Phase II. The methods developed in this paper are effective for decreasing the effect of outliers in both Phases I and II.

Originality/value

This paper considers monitoring the logistic regression profile in Phase I under the presence of outliers. Also, three robust approaches are developed to decrease the effects of outliers on the parameter estimation and monitoring the logistic regression profiles in both Phases I and II.

Details

International Journal of Quality & Reliability Management, vol. 34 no. 4
Type: Research Article
ISSN: 0265-671X

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Article
Publication date: 7 September 2012

Raman Kumar, Harwinder Singh and J.S. Dureja

The purpose of this paper is to make out a complete solution to logistic outsourcing problem in a medium‐scale organization by using consistent fuzzy preference relation…

Abstract

Purpose

The purpose of this paper is to make out a complete solution to logistic outsourcing problem in a medium‐scale organization by using consistent fuzzy preference relation (CFPR) and vlsekriterijumska optimizacija i kompromisno resenje (VIKOR) method.

Design/methodology/approach

The initial approach to this research was to develop a comprehensive framework for logistic outsourcing problem and selection of most appropriate third party logistic (3PL) provider.

Findings

It has been found that the organization should outsource logistic activities. The alternatives (3PL providers) have also been ranked and the fifth 3PL provider has been termed as best third party logistic provider.

Research limitations/implications

The parameters selected for this study and developed framework are applicable only to a medium‐scale organization manufacturing automobile parts in northern India.

Originality/value

This is probably the first time that an attempt has been made to apply the two‐phase methodology approach, using CFPR and VIKOR, to analyze a multi‐criteria logistic outsourcing problem. A case is provided which demonstrates how to solve logistic outsourcing, a multi‐criteria decision‐making problem.

Details

Journal of Manufacturing Technology Management, vol. 23 no. 7
Type: Research Article
ISSN: 1741-038X

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Article
Publication date: 1 June 1995

Marcel Mourits and Joseph J.M. Evers

Discusses the design of large‐scale distribution networks whichentails taking decisions on a large number of issues that are allclosely interrelated, making it difficult…

Abstract

Discusses the design of large‐scale distribution networks which entails taking decisions on a large number of issues that are all closely interrelated, making it difficult to develop a competitive distribution strategy. Many support systems for distribution planning have been developed, but, they do not facilitate a coherent approach to the design process. Presents a logistic planning system that provides dedicated support for all issues involved in distribution planning. The foundation of which is an integrated planning support framework. Proposes that small models dedicated to only part of the total design process provide the best support for logistic planning and that such models encapsulated in a framework lead to optimal system design. Suggests that when the support system is applied to strategic/tactical distribution planning, the design process requires less time and less expert capacity, while resulting in a more competitive logistic supply chain.

Details

International Journal of Physical Distribution & Logistics Management, vol. 25 no. 5
Type: Research Article
ISSN: 0960-0035

Keywords

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Article
Publication date: 1 February 2004

Amy J.C. Trappey, Charles V. Trappey, Jiang‐Liang Hou and Bird J.G. Chen

With the growing trend toward the use of international supply chain and e‐commerce, logistic service providers for product warehousing, transportation and delivery are…

Abstract

With the growing trend toward the use of international supply chain and e‐commerce, logistic service providers for product warehousing, transportation and delivery are placing great emphasis on information technology (IT) to be competitive globally. Realizing that the current service tracking system merely supports order status tracking within a service provider, applies mobile agent technology for online order tracking across the global logistic alliances. Utilizes a three‐tier architecture for mobile agent technology and develops a prototype system for global logistic service tracking. Demonstrates the concept and technology proposed. The online service tracking services enable customers to monitor the real‐time status of their service requests and therefore becomes key tool for modern enterprises to compete successfully in a global marketplace.

Details

Industrial Management & Data Systems, vol. 104 no. 2
Type: Research Article
ISSN: 0263-5577

Keywords

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