Abstract:While many companies outsource their logistics functions, creating a collaborative relationship with third‐party logistics service providers remains a challenge. The current study explores the effects of often overlooked human factors in this context. Data on buyer perspectives were collected in China. The analysis results suggest that buying firm's top management championship, supplier firm's designated employees, and the buyer‐seller personal relationships (i.e. Guanxi) at different levels, all have signific… Show more
“…Jin et al analyzed all kinds of risk factors in the port logistic park, using fuzzy comprehensive evaluation of the risk evaluation [12]. Chen et al aimed on the current situation of the construction of logistic parks in our country, analyzing the common system risks in the construction of logistic parks from the perspective of the government and makes quantitative research [13].…”
Section: Literature Review Of Logistic Risk Managementmentioning
confidence: 99%
“…For logistic risk analysis model, it is better to use the PSO algorithm [13]. The PSO algorithm is a kind of evolutionary algorithm that is similar to the simulated annealing algorithm; it also starts from the random solution and iteratively finds the optimal solution.…”
Risk analysis is an important fundamental basis of the decision-making process, and it has been applied in many fields. In order to improve the risk management of logistic, a new model based on particle swarm optimization (PSO) is proposed, which is a stochastic optimization method based on population. Through a comparison of performance with a Fuzzy Comprehensive Measurement Method (FCMM), the findings indicated that PSO can predict the logistic risk more accurately. The experimental results show that the model of logistic risk analysis and identification based on PSO algorithm is superior to FCMM model.
“…Jin et al analyzed all kinds of risk factors in the port logistic park, using fuzzy comprehensive evaluation of the risk evaluation [12]. Chen et al aimed on the current situation of the construction of logistic parks in our country, analyzing the common system risks in the construction of logistic parks from the perspective of the government and makes quantitative research [13].…”
Section: Literature Review Of Logistic Risk Managementmentioning
confidence: 99%
“…For logistic risk analysis model, it is better to use the PSO algorithm [13]. The PSO algorithm is a kind of evolutionary algorithm that is similar to the simulated annealing algorithm; it also starts from the random solution and iteratively finds the optimal solution.…”
Risk analysis is an important fundamental basis of the decision-making process, and it has been applied in many fields. In order to improve the risk management of logistic, a new model based on particle swarm optimization (PSO) is proposed, which is a stochastic optimization method based on population. Through a comparison of performance with a Fuzzy Comprehensive Measurement Method (FCMM), the findings indicated that PSO can predict the logistic risk more accurately. The experimental results show that the model of logistic risk analysis and identification based on PSO algorithm is superior to FCMM model.
“…Deutsche Post DHL, for example, opened its Innovation Centre in 2006 and defined it as a space for new ideas for forming innovative networks and developing solutions, from prototype to market launch [12]. Logistics outsourcing can reduce non-core business investments [13], and improve logistics performance [14] and client service [15].…”
Section: Theoretical Backgroundmentioning
confidence: 99%
“…Forming a strategic alliance with a 3PL provider is one of the most effective business strategies for enterprises in China to achieve cost-effective performance and long-term success [14].…”
“…This aspect of logistics partnership success is rarely developed in the literature, and hence is another reason why the authors wish to expand and explore the key contributing factors of partnership success in the wider logistics context. We argue that as past studies have paid greater attention to the customer (for example, Chen et al 2010;Knemeyer and Murphy, 2004;Sinkovics and Roath, 2004;Wallenburg, 2009), the literature lacks a complete investigation This is a post-print of: NA Abdul Rahman, TC Melewar and AM Sharif, "The establishment of industrial branding through dyadic logistics partnership success (LPS): The case of the Malaysian automotive and logistics industry, " Industrial Marketing Management Journal, vol. 43, issue 1 (2014), pp.…”
Section: Contributing Factors To Logistics Partnership Successmentioning
Logistics partnerships across dyadic and triadic relationship networks have been the basis of extensive research in the extant literature. It is well understood that competitive advantage within logistics and distribution and within supply chains are driven by value-adding aspects of not only the core competencies of each tier in the network, but also via tangential supporting factors. It is also well understood that there is a strong relationship between logistics and distribution and marketing functions, particularly in product-based organisations. In addition to deepening our understanding of how successful partnerships throughout the source-make-deliver continuum can be optimised this research also seeks to identify how a supporting element in terms of industrial branding and marketing can lead to relational sustainability. Hence this paper outlines the relationship between logistics partnership success (LPS) factors and the inherent link to industrial branding establishment and business sustainability within the Malaysian automotive industry (specifically, car manufacturers). Adopting a multiple case study approach, findings suggest there is a strong association between logistics service performance (LSP) provided by the third party logistics provider (TPLP) and the development and support of a mutual brand image for both the TPLP and the car manufacturer. We contribute to the extant literature on logistics partnership and industrial branding through linking LSP with the creation and maintenance of an industrial branding strategy for both parties in the context of the Malaysian automotive industry.
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