Search results

The purpose of this paper is to empirically investigate the joint effects of lead time, information sharing and the accounts receivable period on reverse factoring (RF) adoption from the suppliers’ perspective.

Supported by one of the largest commercial banks in China, survey data are collected from 424 Chinese manufacturing firms and analyzed using regression methods.

The results suggest that lead time positively affects suppliers’ RF adoption directly and indirectly through the accounts receivable period. Meanwhile, information sharing has a positive, direct and a negative, indirect influence on suppliers’ RF adoption.

The findings give suppliers and financial institutions a better understanding of how to leverage the benefits of RF.

The aim of this paper is to develop an overarching framework to better understand drivers of performance in third‐party logistics (3PL) linked to the operations strategy literature.

A path model is specified and estimated based on constructs and relationships grounded in the literature, as well as self‐developed constructs, using empirical data from 159 3PL providers in Hong Kong.

Some dimensions of internal and external environments have positive influences on differing operations emphases. Furthermore, operational performance is positively affected by corresponding operations emphases and functional involvement. Finally, good operational performance can bring about better financial performance. However, strict adherence to the low cost operations emphasis will lead to worse financial performance.

This research provides a novel overarching framework to link competition in the market place, challenges in the operations and functional involvement through operations emphases to operational and financial performance.

Aims to investigates the relationship of strategic choices of pure cost‐, pure differentiation‐, or a combination‐strategy on a composite measure of financial performance for third‐party logistics (3PL) providers in Hong Kong. In addition, it seeks to identify the importance of operations priorities underlying the respective adopted strategy, as well as the importance given to future competitive challenges for each strategy.

Uses cluster analysis, ANOVA.

Logistics service providers classified to follow different strategies report different financial performance, with companies adhering to the combined strategy of cost and differentiation performing best, followed by pure differentiation companies, which in turn outperform pure cost‐, commodity driven‐companies.

Future research may be widened to include customer, and not solely competitor, perceptions. Further studies could elaborate on technology adoption, information sharing, strategy formulation, operations practices, and benchmarking. Other studies could focus on the differences between high and low performers in terms of business performance, and the processes that enable low performers to become high performers; as well as comparing logistics strategies and practices between different countries.

Third‐party logistics providers, solely competing on cost and offering basic services only, need to differentiate to gain improved financial performance. Logistics companies can improve along multiple operational dimensions to achieve competitive advantage in the marketplace. Research identifies operational areas to be emphasized to drive strategy according to strategic orientation, as well as generic factors that will drive future logistics management in Hong Kong.

Linking perceived financial performance to strategic choices of pure cost‐, pure differentiation‐, or a combination‐strategy for 3PL providers in Hong Kong.

This research widens the scope of the use of postponement by addressing how the generic supply chain structure and information sharing/relationship among supply chain actors affects the postponement decision, based on empirical data of Chinese manufacturers in the Pearl River Delta.

Case analysis, cross‐case comparisons, semi‐structured interviews.

A cross‐case analysis including study of the downstream structure, downstream relationship, upstream structure, upstream relationship, production method and inventory position produced a postponement classification into five categories: balanced structure without customer information; customer dominated; manufacturer dominated; balanced structure with loose suppliers, and finally virtual supply chain. Based on this classification, two propositions are postulated: when a supply chain has a balanced structure, it should use speculation or production postponement. When the supply chain has an unbalanced structure, it should use purchasing postponement or product development postponement.

This study is exploratory in nature, and more empirical data is needed to further validate the postulated results. Another limitation of the study is in its measurement of postponement, measured in this instance by the production method and inventory positions used. Other characteristics of postponement may be included in future research.

This research has extended the scope of the use of postponement by addressing how the generic supply chain structure and information sharing/relationship among supply chain actors affects the postponement decision.

Addresses postponement on the level of the supply chain, rather than company‐level. Addresses how the supply chain structure (balanced/unbalanced) and information sharing/relationship among supply chain actors affect the postponement decision.