Supply Chain
Recently Published Documents


TOTAL DOCUMENTS

57754
(FIVE YEARS 30383)

H-INDEX

266
(FIVE YEARS 90)

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Benjamin R. Tukamuhabwa ◽  
Henry Mutebi ◽  
Rebecca Kwagala

PurposeThe purpose of this paper is to investigate the relationship between geographical traits consisting of institutional traits and cultural traits, and supply chain agility in third-party logistics providers.Design/methodology/approachA theoretical model was developed and assessed through a structured questionnaire survey using cross-sectional data from 170 third-party logistics providers registered in Uganda. To validate the suggested model, data were analysed using exploratory factor analysis, correlations and regressions.FindingsCorrelation results revealed that all institutional and cultural geographical traits in the model, i.e. infrastructural frameworks, regulatory frameworks, organisational culture and national culture are positively and significantly associated with supply chain agility. However, a further analysis using regression revealed that regulatory framework and organisational culture are the only significant predictors of supply chain agility and together, all the four traits account for 28.1% variance in supply chain agility.Research limitations/implicationsThis study applies the institutional theoretical framework to provide an empirical understanding of the role of institutional and cultural factors in supply chain management practice. Furthermore, it confirms and expands on the existing theories about supply chain agility.Practical implicationsThe findings provide firm ground for managerial decisions regarding emphasis on external factors in building firms' supply chain agility. Managers should scan the macro-environment and make conscious firm decisions regarding institutions and culture in certain geographical locations. The host countries should also be aware of their role in building firms' supply chain agility.Originality/valueDistinctive from the literature on antecedents of supply chain agility, which predominantly focuses on the firm and supply chain capabilities, this study utilises the paradigm of institutional fit to empirically show how managers in a developing country wishing to build supply chain agility should not only focus on their supply chains and internal operations, but go beyond and consider geographical traits when making firm location and/or operational decisions for certain geographical contexts in order to achieve fit.


2022 ◽  
Vol 177 ◽  
pp. 105975
Author(s):  
Shahriar Raian ◽  
Syed Mithun Ali ◽  
Md. Rayhan Sarker ◽  
Bathrinath Sankaranarayanan ◽  
Golam Kabir ◽  
...  

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Surajit Bag ◽  
Muhammad Sabbir Rahman

Purpose A circular economy is a popular approach considered by many firms to address sustainable development goals strategically. Literature indicates that collaborative relationships among supply chain partners facilitate circular economy practices. However, there is a dearth of studies in lower-middle-income countries indicating the unique challenges industries face whilst practising circular economy principles and how the challenges can be overcome. To address the calls of previous researchers, this study aims to explore the following relationships: engagement and alliance capability whilst data analytics capability plays a mediating role; the relationship between alliance and data analytics capability with sustainable supply chain flexibility whilst industry dynamism is considered as a moderating variable and the relationship between sustainable supply chain flexibility and circular economy-target performance. Design/methodology/approach A cross-sectional survey was performed and data was collected from 760 employees of Indian firms. Covariance-based structural equation modelling was applied to perform the path analysis to determine a firm’s capabilities in shaping sustainable supply chain flexibility and enhancing circular economy target performance. Findings Drawing upon dynamic capability theory, it was first established that engagement capability has a positive and significant influence on alliance capability, whilst data analytics capability played a partial mediating role. Second, it was established that alliance capability and data analytics capability significantly affect sustainable supply chain flexibility, whilst industry dynamism played a moderating role. Finally, it was clear that sustainable supply chain flexibility had a significant and positive effect on circular economy target performance, ultimately enhancing sustainability. Originality/value This study advances the circular economy literature by recommending that firms must consider some critical operational level capabilities to develop their dynamic capability, i.e. sustainable supply chain flexibility, to better meet the competitive market conditions in turbulent business environments.


Author(s):  
Dileep M V ◽  
◽  
Dr. Regi Kumar V ◽  

Customer satisfaction is the backbone of any business entity and supply chain optimization plays a vital role in customer satisfaction efforts. Supply chain inventory control is one of the scientific supply chain optimization methods for determining proper inventory levels at different stages or echelons of the supply chain to meet the requirements of the customers. The intention is to supply right type of material at exact time in appropriate quantities and at competitive rates. Supply chain inventory costs consist of costs to store, track and insure materials. Inventories that mishandled create substantial financial problems for a business, whether the mismanagement results in an inventory accumulation or an inventory shortage. Therefore, an examination of the right quantities to be kept in stock to meet the requirements, the strategic location, storage facilities and recordings of the goods or items should be done systematically such that the desired degree of service can be provided at competitive prices or at minimum ultimate cost. Major objective of inventory control in a multi echelon supply chain is to optimize inventory cost elements like transportation cost, carrying cost, holding cost and all other inventory related costs at all supply chain stages with an elevated service level at the end customer point. The supply chain inventory control becomes tough when the handling material is a perishable one as its deterioration rate is variable rather than constant. This article provides the study results of the deterioration rate of a perishable edible inventory at different selected environmental conditions. The focus of this article is to introduce a mathematical equation for the deterioration rate of the selected perishable inventory which is inevitable for the formulation of inventory models for its supply chain echelons.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Enna Hirata ◽  
Takuma Matsuda

PurposeThis research aims to uncover coronavirus disease 2019’s (COVID-19's) impact on shipping and logistics using Internet articles as the source.Design/methodology/approachThis research applies web mining to collect information on COVID-19's impact on shipping and logistics from Internet articles. The information extracted is then analyzed through machine learning algorithms for useful insights.FindingsThe research results indicate that the recovery of the global supply chain in China could potentially drive the global supply chain to return to normalcy. In addition, researchers and policymakers should prioritize two aspects: (1) Ease of cross-border trade and logistics. Digitization of the supply chain and applying breakthrough technologies like blockchain and IoT are needed more than ever before. (2) Supply chain resilience. The high dependency of the global supply chain on China sounds like an alarm of supply chain resilience. It calls for a framework to increase global supply chain resilience that enables quick recovery from disruptions in the long term.Originality/valueDiffering from other studies taking the natural language processing (NLP) approach, this research uses Internet articles as the data source. The findings reveal significant components of COVID-19's impact on shipping and logistics, highlighting crucial agendas for scholars to research.


Sign in / Sign up

Export Citation Format

Share Document