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Article
Publication date: 14 March 2019

Xiaodan Pan, Martin Dresner and Yurong Xie

Drawing on the resource-based view and resource complementarity theory, the purpose of this paper is to investigate two research questions: To what extent are logistics…

Abstract

Purpose

Drawing on the resource-based view and resource complementarity theory, the purpose of this paper is to investigate two research questions: To what extent are logistics information system (IS) resources associated with improved operational performance? And to what extent are these relationships contingent on organizational factors?

Design/methodology/approach

A conceptual model with a nested structure is presented to link logistics IS resources and organizational factors with operational performance. The findings are validated using a cross-sectional sample of secondary data from domestic logistics firms in China.

Findings

This paper extends existing operational-level measures for logistics IS resources into a three-tier tactical-level typology: inside-out resources (operation-focused IS, decision-focused IS and IS development capability); outside-in resources (relation-focused IS and market-focused IS); and spanning resources (IS integration capability and IS management capability). Though logistics IS resources, in general, are positively related to operational performance, inside-out IS resources have the most significant impact. Organizational factors, such as firm size, firm age and firm ownership, may enhance or suppress the effects of logistics IS resources on performance.

Practical implications

The findings are valuable to both logistics firms and buyer firms in an emerging market, as logistics IS resources may affect costs and quality of logistics service. The tactical-level typology allows logistics firms to better plan for and manage emerging IS resources in a competitive environment.

Originality/value

This paper extends prior work regarding the complementary effects of logistics IS resources and organizational factors on operational performance. Logistics firms should carefully manage the three types of tactical-level IS resources according to their organizational environment to achieve a sustainable competitive advantage.

Details

The International Journal of Logistics Management, vol. 30 no. 2
Type: Research Article
ISSN: 0957-4093

Keywords

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Article
Publication date: 17 June 2020

Davood Darvishi, Sifeng Liu and Jeffrey Yi-Lin Forrest

The purpose of this paper is to survey and express the advantages and disadvantages of the existing approaches for solving grey linear programming in decision-making problems.

Abstract

Purpose

The purpose of this paper is to survey and express the advantages and disadvantages of the existing approaches for solving grey linear programming in decision-making problems.

Design/methodology/approach

After presenting the concepts of grey systems and grey numbers, this paper surveys existing approaches for solving grey linear programming problems and applications. Also, methods and approaches for solving grey linear programming are classified, and its advantages and disadvantages are expressed.

Findings

The progress of grey programming has been expressed from past to present. The main methods for solving the grey linear programming problem can be categorized as Best-Worst model, Confidence degree, Whitening parameters, Prediction model, Positioned solution, Genetic algorithm, Covered solution, Multi-objective, Simplex and dual theory methods. This survey investigates the developments of various solving grey programming methods and its applications.

Originality/value

Different methods for solving grey linear programming problems are presented, where each of them has disadvantages and advantages in providing results of grey linear programming problems. This study attempted to review papers published during 35 years (1985–2020) about grey linear programming solving and applications. The review also helps clarify the important advantages, disadvantages and distinctions between different approaches and algorithms such as weakness of solving linear programming with grey numbers in constraints, inappropriate results with the lower bound is greater than upper bound, out of feasible region solutions and so on.

Details

Grey Systems: Theory and Application, vol. 11 no. 1
Type: Research Article
ISSN: 2043-9377

Keywords

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