International Journal of Physical Distribution & Logistics Management

Wong, Chee Yew

2021 International Journal of Physical Distribution & Logistics Management

doi: 10.1108/ijpdlm-04-2021-410

Su, Shong-lee Ivan; Fan, Xuemei; Shou, Yongyi

2021 International Journal of Physical Distribution & Logistics Management

doi: 10.1108/ijpdlm-11-2019-0352

The 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.

Hofer, Adriana Rossiter; Jin, Yao Henry; Knemeyer, A. Michael

2021 International Journal of Physical Distribution & Logistics Management

doi: 10.1108/ijpdlm-04-2019-0121

This study follows the tenets of the resource dependence theory (RDT) to investigate the effects of four dimensions of industry-level environmental uncertainty – munificence, dynamism, complexity and innovative intensity – on a shipper's cross-buying (i.e. outsourcing across multiple service categories) in logistics outsourcing arrangements.Design/methodology/approachNegative binomial regression was used to test the hypotheses with a sample of US manufacturers. Measures were developed through information acquired from a proprietary database of 3PL companies obtained through Armstrong and Associates, Inc. and publicly available industry measures from the US Manufacturing Census and Compustat.FindingsThe findings indicate that individual dimensions of environmental uncertainty exhibit distinct influences on shippers' cross-buying in their logistics outsourcing arrangements. Specifically, the growth and initial innovative intensity of shippers' industries lead to an increased number of logistics service categories outsourced to 3PLs, while industry dynamism and exceptionally high innovative intensity drive the opposite effect.Practical implicationsThese findings provide valuable guidance to 3PLs with respect to decisions related to the acquisition of specialized transportation, storage, information systems and personnel assets to serve specific industries. The findings highlight industry conditions that are more likely to lead shippers to outsource across a wider array of logistics service categories and, as a result, potentially yield higher customer retention and profit margins.Originality/valueWhile extant 3PL literature posits that shippers' individual strategic orientations and capabilities impact their outsourcing strategy, this study contributes to the literature by providing a theoretical-based empirical examination of the industry-level influencers of such behavior.

Rintala, Oskari; Solakivi, Tomi; Laari, Sini; Töyli, Juuso; Ojala, Lauri

2021 International Journal of Physical Distribution & Logistics Management

doi: 10.1108/ijpdlm-08-2019-0244

This study aims to investigate the extent to which psychological factors and the agency of decision-makers drive outsourcing decisions. Arguments based on transaction cost economics, the core competence approach and the theory of planned behavior are used to explain logistics outsourcing.Design/methodology/approachThe literature was reviewed to identify constructs that are antecedents of logistics outsourcing intentions, and corresponding measures were developed. The data were gathered through a survey of supply chain professionals in Finnish manufacturing companies. A measurement model was reviewed to ensure reliability and validity and converted into a structural model for analysis. The analysis was based on partial least squares (PLS) structural equation modeling.FindingsSupply chain managers objectively consider the characteristics of their organization's logistics identified in previous research as requiring assessment during the outsourcing process. However, and surprisingly, they also tend to rely on behavioral subjective factors such as positive attitudes, encouraging subjective norms and competence. Moreover, it seems that firms do not outsource logistics activities despite the high strategic importance of the function, but because of it.Research limitations/implicationsThe constructed model is limited to the constructs chosen to represent drivers of logistics outsourcing. Further application with more samples would improve its reliability.Practical implicationsThe factors proposed here with respect to assets and the capabilities of third-party partners could facilitate decision-making related to logistics outsourcing.Originality/valueThe findings emphasize the role of behavioral factors in the procurement function and therefore enhance the understanding of behavioral supply chain management.

Høgevold, Nils M.; Svensson, Gøran; Mpinganjira, Mercy

2021 International Journal of Physical Distribution & Logistics Management

doi: 10.1108/ijpdlm-11-2019-0336

Seen from the seller's point of view, this study examines economic and non-economic satisfaction as distinct conceptual variables, and tests how the constructs relate to each other and to the business transactional cost variables of formalisation, specific investments and dependence.Design/methodology/approachData was collected from 213 key informants from Norwegian companies involved in business-to-business marketing. Structural equation modelling was used to test the posited hypotheses.FindingsThe findings show that sellers' economic satisfaction exerts a positive influence on non-economic satisfaction and on formalisation, while its posited influence on specific investments was not found to be significant. Formalisation was, however, not significantly influenced by seller non-economic satisfaction. Specific investment was positively influenced by seller non-economic satisfaction. The influence of formalisation on specific investments and dependence was significant. Specific investments were also found to be positively influenced by dependence.Research limitations/implicationsThe study reveals the importance of assessing both economic and non-economic satisfaction in trying to understand sellers' behaviour in business-to-business markets.Practical implicationsThe findings show the need for managers to ensure economic satisfaction, as its affects non-economic satisfaction.Originality/valueThis study contributes to a better understanding of satisfaction in business-to-business exchange relationships and its relationship with transactional cost constructs based on a seller's perspective.

Xu, Pei; Lee, Joonghee; Barth, James R.; Richey, Robert Glenn

2021 International Journal of Physical Distribution & Logistics Management

doi: 10.1108/ijpdlm-08-2019-0234

This paper discusses how the features of blockchain technology impact supply chain transparency through the lens of the information security triad (confidentiality, integrity and availability). Ultimately, propositions are developed to encourage future research in supply chain applications of blockchain technology.Design/methodology/approachPropositions are developed based on a synthesis of the information security and supply chain transparency literature. Findings from text mining of Twitter data and a discussion of three major blockchain use cases support the development of the propositions.FindingsThe authors note that confidentiality limits supply chain transparency, which causes tension between transparency and security. Integrity and availability promote supply chain transparency. Blockchain features can preserve security and increase transparency at the same time, despite the tension between confidentiality and transparency.Research limitations/implicationsThe research was conducted at a time when most blockchain applications were still in pilot stages. The propositions developed should therefore be revisited as blockchain applications become more widely adopted and mature.Originality/valueThis study is among the first to examine the way blockchain technology eases the tension between supply chain transparency and security. Unlike other studies that have suggested only positive impacts of blockchain technology on transparency, this study demonstrates that blockchain features can influence transparency both positively and negatively.