Search results

1 – 10 of over 1000
Content available

Abstract

Details

Journal of Defense Analytics and Logistics, vol. 1 no. 1
Type: Research Article
ISSN: 2399-6439

Content available
Article
Publication date: 3 July 2017

Joshua L. McDonald, Edward D. White, Raymond R. Hill and Christian Pardo

The purpose of this paper is to demonstrate an improved method for forecasting the US Army recruiting.

Abstract

Purpose

The purpose of this paper is to demonstrate an improved method for forecasting the US Army recruiting.

Design/methodology/approach

Time series methods, regression modeling, principle components and marketing research are included in this paper.

Findings

This paper found the unique ability of multiple statistical methods applied to a forecasting context to consider the effects of inputs that are controlled to some degree by a decision maker.

Research limitations/implications

This work will successfully inform the US Army recruiting leadership on how this improved methodology will improve their recruitment process.

Practical implications

Improved US Army analytical technique for forecasting recruiting goals..

Originality/value

This work culls data from open sources, using a zip-code-based classification method to develop more comprehensive forecasting methods with which US Army recruiting leaders can better establish recruiting goals.

Details

Journal of Defense Analytics and Logistics, vol. 1 no. 1
Type: Research Article
ISSN: 2399-6439

Keywords

Content available
Article
Publication date: 10 May 2021

Zachary Hornberger, Bruce Cox and Raymond R. Hill

Large/stochastic spatiotemporal demand data sets can prove intractable for location optimization problems, motivating the need for aggregation. However, demand aggregation…

Abstract

Purpose

Large/stochastic spatiotemporal demand data sets can prove intractable for location optimization problems, motivating the need for aggregation. However, demand aggregation induces errors. Significant theoretical research has been performed related to the modifiable areal unit problem and the zone definition problem. Minimal research has been accomplished related to the specific issues inherent to spatiotemporal demand data, such as search and rescue (SAR) data. This study provides a quantitative comparison of various aggregation methodologies and their relation to distance and volume based aggregation errors.

Design/methodology/approach

This paper introduces and applies a framework for comparing both deterministic and stochastic aggregation methods using distance- and volume-based aggregation error metrics. This paper additionally applies weighted versions of these metrics to account for the reality that demand events are nonhomogeneous. These metrics are applied to a large, highly variable, spatiotemporal demand data set of SAR events in the Pacific Ocean. Comparisons using these metrics are conducted between six quadrat aggregations of varying scales and two zonal distribution models using hierarchical clustering.

Findings

As quadrat fidelity increases the distance-based aggregation error decreases, while the two deliberate zonal approaches further reduce this error while using fewer zones. However, the higher fidelity aggregations detrimentally affect volume error. Additionally, by splitting the SAR data set into training and test sets this paper shows the stochastic zonal distribution aggregation method is effective at simulating actual future demands.

Originality/value

This study indicates no singular best aggregation method exists, by quantifying trade-offs in aggregation-induced errors practitioners can utilize the method that minimizes errors most relevant to their study. Study also quantifies the ability of a stochastic zonal distribution method to effectively simulate future demand data.

Details

Journal of Defense Analytics and Logistics, vol. 5 no. 1
Type: Research Article
ISSN: 2399-6439

Keywords

Content available
Article
Publication date: 27 November 2020

Petar Jackovich, Bruce Cox and Raymond R. Hill

This paper aims to define the class of fragment constructive heuristics used to compute feasible solutions for the traveling salesman problem (TSP) into edge-greedy and…

Abstract

Purpose

This paper aims to define the class of fragment constructive heuristics used to compute feasible solutions for the traveling salesman problem (TSP) into edge-greedy and vertex-greedy subclasses. As these subclasses of heuristics can create subtours, two known methodologies for subtour elimination on symmetric instances are reviewed and are expanded to cover asymmetric problem instances. This paper introduces a third novel subtour elimination methodology, the greedy tracker (GT), and compares it to both known methodologies.

Design/methodology/approach

Computational results for all three subtour elimination methodologies are generated across 17 symmetric instances ranging in size from 29 vertices to 5,934 vertices, as well as 9 asymmetric instances ranging in size from 17 to 443 vertices.

Findings

The results demonstrate the GT is the fastest method for preventing subtours for instances below 400 vertices. Additionally, a distinction between fragment constructive heuristics and the subtour elimination methodology used to ensure the feasibility of resulting solutions enables the introduction of a new vertex-greedy fragment heuristic called ordered greedy.

Originality/value

This research has two main contributions: first, it introduces a novel subtour elimination methodology. Second, the research introduces the concept of ordered lists which remaps the TSP into a new space with promising initial computational results.

Content available
Article
Publication date: 6 June 2022

Sarah Neumann, Darryl Ahner and Raymond R. Hill

This paper aims to examine whether changing the clustering of countries within a United States Combatant Command (COCOM) area of responsibility promotes improved…

Abstract

Purpose

This paper aims to examine whether changing the clustering of countries within a United States Combatant Command (COCOM) area of responsibility promotes improved forecasting of conflict.

Design/methodology/approach

In this paper statistical learning methods are used to create new country clusters that are then used in a comparative analysis of model-based conflict prediction.

Findings

In this study a reorganization of the countries assigned to specific areas of responsibility are shown to provide improvements in the ability of models to predict conflict.

Research limitations/implications

The study is based on actual historical data and is purely data driven.

Practical implications

The study demonstrates the utility of the analytical methodology but carries not implementation recommendations.

Originality/value

This is the first study to use the statistical methods employed to not only investigate the re-clustering of countries but more importantly the impact of that change on analytical predictions.

Details

Journal of Defense Analytics and Logistics, vol. 6 no. 1
Type: Research Article
ISSN: 2399-6439

Keywords

Abstract

Details

Applying Maximum Entropy to Econometric Problems
Type: Book
ISBN: 978-0-76230-187-4

Book part
Publication date: 9 August 2017

François L’Écuyer and Louis Raymond

This study aims to explore the relationship between IT and HRM in the context of manufacturing SMEs, more specifically the relationship between strategic HRM and e-HRM as…

Abstract

Purpose

This study aims to explore the relationship between IT and HRM in the context of manufacturing SMEs, more specifically the relationship between strategic HRM and e-HRM as well as the performance effects of this relationship. The conceptual framework is founded upon the resource-based view (RBV), specifically upon the strategic HRM and e-HRM capabilities of SMEs and upon the strategic alignment of these capabilities in the form of capability configurations or “gestalts.”

Methodology/approach

To answer the research questions, a questionnaire was constructed and mailed to 1854 manufacturing SMEs in the province of Quebec, Canada, producing 216 valid responses that were used for statistical analysis purposes. Capability configurations were identified through a cluster analysis of the e-HRM and strategic HRM capabilities developed by these firms.

Findings

Using structural equation modeling to validate the research model, a causal analysis confirmed a positive influence of the sampled SMEs’ strategic orientation upon their development of strategic HRM capabilities. More importantly, a higher level of alignment between the SMEs’ strategic HRM and e-HRM capabilities was associated to a higher level of strategic HRM performance.

Originality/value

To our knowledge, ours is the first study to show interest in the effect of the strategic alignment of HRM and IT capabilities upon HRM performance, by adopting a configurational perspective and considering organizational IT from a functional point of view. Given the specific context of SMEs, the focus was on e-HRM capabilities related to the IT infrastructure of these organizations and the IT competencies of individuals related to HRM.

Details

Electronic HRM in the Smart Era
Type: Book
ISBN: 978-1-78714-315-9

Keywords

Article
Publication date: 1 June 2003

A number of recent studies have suggested that many small businesses are opting to become members of strategic alliances with other firms in order to minimise the…

Abstract

A number of recent studies have suggested that many small businesses are opting to become members of strategic alliances with other firms in order to minimise the perceived barriers to adoption of electronic commerce (E‐commerce). This study compares the perception of barriers to E‐commerce adoption between a sample of Swedish small to medium enterprises (SMEs) that have become members of some form of strategic alliance and those that have remained outside such arrangements. The results show that, in general, SMEs that are part of a strategic alliance perceive barriers as less applicable than their counterparts that are not part of a strategic alliance.

Details

Journal of Systems and Information Technology, vol. 7 no. 1/2
Type: Research Article
ISSN: 1328-7265

Keywords

Article
Publication date: 1 April 2003

Georgios I. Zekos

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination…

62676

Abstract

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

Details

Managerial Law, vol. 45 no. 1/2
Type: Research Article
ISSN: 0309-0558

Keywords

Article
Publication date: 1 April 1973

Current issues of Publishers' Weekly are reporting serious shortages of paper, binders board, cloth, and other essential book manufacturing materials. Let us assure you…

Abstract

Current issues of Publishers' Weekly are reporting serious shortages of paper, binders board, cloth, and other essential book manufacturing materials. Let us assure you these shortages are very real and quite severe.

Details

Reference Services Review, vol. 1 no. 4
Type: Research Article
ISSN: 0090-7324

1 – 10 of over 1000