A design science-based case study of retail chain delivery operations and its implications

IF 5.9 3区 管理学 Q1 MANAGEMENT
Shong-Iee Ivan Su, Xuemei Fan, Y. Shou
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引用次数: 4

Abstract

PurposeThe study aims to explore and develop a smart route planning system for the cross-docking delivery operations of a large supermarket chain using an action research (AR) approach and assessing through a design science research (DSR) lens.Design/methodology/approachThis study took a problem-solving AR (PAR) approach toward the delivery operational issue of the case firm. The research process has accorded with the solution incubation and the refinement phases defined by a DSR framework. An intervention-based research framework for DSR is developed to assess the validity of this study as a DSR research and derive mid-range theories.FindingsDramatic operational and financial improvements were achieved for the case firm. Significant and unintended environmental and social benefits were also found. A design proposition (DP) and several mid-range theories are proposed as an extension of AR research to DSR research.Research limitations/implicationsA problem-solving DSR research can be better assessed by the intervention-based DSR framework developed in this study. DSR studies should be encouraged for both practical and theoretical advancement purposes.Practical implicationsA challenging business problem-solving study can be tackled effectively through an industry/academic collaboration taking a PAR approach to deliver substantial values and organization transformational results.Social implicationsDrivers and store associates are safer with smart delivery operations in the case firm.Originality/valueThere are still limited PAR design science case studies in the supply chain/logistics research literature. The research experience and findings gained from this study provide more insights toward how this type of research can be conducted and assessed.
基于设计科学的零售连锁配送业务案例研究及其启示
本研究旨在利用行动研究(AR)方法,通过设计科学研究(DSR)的视角进行评估,探索和开发大型连锁超市交叉对接配送业务的智能路线规划系统。设计/方法/方法本研究采用解决问题的AR (PAR)方法来研究案例公司的交付运营问题。研究过程符合DSR框架定义的溶液孵育和细化阶段。本文建立了一个基于干预的DSR研究框架,以评估本研究作为DSR研究的有效性,并推导出中期理论。调查结果:该案例公司在运营和财务方面取得了显著的改善。还发现了显著的和意想不到的环境和社会效益。本文提出了一个设计命题(DP)和几个中程理论,作为AR研究向DSR研究的延伸。本研究开发的基于干预的DSR框架可以更好地评估解决问题的DSR研究。应该鼓励DSR研究,以促进实践和理论的发展。通过采用PAR方法的行业/学术协作,可以有效地解决具有挑战性的业务问题解决研究,从而交付实质性的价值和组织转换结果。社会意义在案例公司中,司机和店员使用智能送货操作更安全。原创性/价值在供应链/物流研究文献中,PAR设计科学案例研究仍然有限。从本研究中获得的研究经验和发现为如何进行和评估这类研究提供了更多的见解。
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来源期刊
CiteScore
11.20
自引率
10.40%
发文量
34
期刊介绍: IJPDLM seeks strategically focused, theoretically grounded, empirical and conceptual, quantitative and qualitative, rigorous and relevant, original research studies in logistics, physical distribution and supply chain management operations and associated strategic issues. Quantitatively oriented mathematical and modelling research papers are not suitable for IJPDLM. Desired topics include, but are not limited to: Customer service strategy Omni-channel and multi-channel distribution innovations Order processing and inventory management Implementation of supply chain processes Information and communication technology Sourcing and procurement Risk management and security Personnel recruitment and training Sustainability and environmental Collaboration and integration Global supply chain management and network complexity Information and knowledge management Legal, financial and public policy Retailing, channels and business-to-business management Organizational and human resource development Logistics and SCM education.
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