Search results

1 – 10 of over 15000
To view the access options for this content please click here
Article
Publication date: 3 June 2019

Jingran Zhang, Sevilay Onal, Rohit Das, Amanda Helminsky and Sanchoy Das

Fast fulfilment is a key performance measure in online retail, and some retailers have achieved faster times by adopting new designs in their order fulfilment

Abstract

Purpose

Fast fulfilment is a key performance measure in online retail, and some retailers have achieved faster times by adopting new designs in their order fulfilment infrastructure. This research empirically confirms and quantifies the fulfilment time advantage that Amazon has achieved, relative to other online retailers. The purpose of this paper is to investigate three research questions: what is the overall mean fulfilment time difference between the new logistics designs of Amazon and the alternative designs of other retailers? For each order what is the distribution of the fulfilment time difference? What is the difference in fulfilment time by product category, price and size?

Design/methodology/approach

This research uses an empirical method to evaluate the fulfilment time performance of consumer orders made through the Amazon website and one or more competing online retailers. For 1,000 different products two fulfilment times, one at Amazon and another at a competing omnichannel retailer, are recorded. The analysis is then focused on the comparison between this paired data.

Findings

The research confirms that the new logistics methods, including physical facilities, distribution networks and intelligent order processing methods, have resulted in faster order fulfilment times. The performance, though, is not universally dominant and for 33 per cent of orders, the difference is 1 day or less. The fulfilment time difference varied by product, category, price or size.

Practical implications

The ongoing transformation of fulfilment and logistics operations at online retailers has generated several new research questions. This includes the need to confirm the fulfilment efficiency of the new designs and specify time targets. This paper identifies the fulfilment time gap between new and traditional operations. The results suggest that store-based or distribution centre-based fulfilment strategies may not match the new designs.

Originality/value

The study provides a quantitative analysis of the fulfilment time differentials in online retailing. The critical role of fulfilment logistics in the rapidly growing online retail industry can now be better modelled and studied. The survey method representing a single buyer allows for order pair equivalency and eliminates order bias. The results suggest that new warehousing and logistics designs can lead to significantly faster fulfilment times.

Details

International Journal of Retail & Distribution Management, vol. 47 no. 5
Type: Research Article
ISSN: 0959-0552

Keywords

To view the access options for this content please click here
Article
Publication date: 1 August 1999

Duangpun Kritchanchai and B.L. MacCarthy

This paper discusses evidence from field studies undertaken to investigate the responsiveness of the order fulfilment process in a number of companies. The evidence is…

Abstract

This paper discusses evidence from field studies undertaken to investigate the responsiveness of the order fulfilment process in a number of companies. The evidence is analysed in the context of the literature on responsiveness and related areas such as time‐based competition. Similarities and differences are analysed across a number of industrial sectors with respect to order fulfilment processes and the interpretation and significance of responsiveness. Generic factors that influence different types of companies are identified. Four components of responsiveness – stimuli, awareness, capabilities and goals – emerge from an analysis of the literature. The field and case study evidence allows the development of more precise definitions and descriptions of each of these components. The study also allows a generic responsiveness framework to be developed that incorporates both strategic and operational viewpoints. The need for more field studies on responsiveness is noted. More work is advocated on the assessment and measurement of responsiveness and on developing appropriate responsiveness interventions, particularly with respect to the order fulfilment process.

Details

International Journal of Operations & Production Management, vol. 19 no. 8
Type: Research Article
ISSN: 0144-3577

Keywords

To view the access options for this content please click here
Article
Publication date: 21 September 2012

Harri Lorentz, Juuso Töyli, Tomi Solakivi, Hanne‐Mari Hälinen and Lauri Ojala

This article aims to quantify and analyse empirically how the geographic dispersion of a firm's supply chain impacts on intra‐firm supply chain performance.

Abstract

Purpose

This article aims to quantify and analyse empirically how the geographic dispersion of a firm's supply chain impacts on intra‐firm supply chain performance.

Design/methodology/approach

Generalised linear modelling is utilised to analyse a sample of 95 large manufacturing companies operating in Finland.

Findings

Results indicate that the increased geographic dispersion of the upstream supply chain results in higher costs of warehousing and logistics administration. On the downstream side, inventory costs, inventory days of supply, and cash‐to‐cash cycle time tend to increase due to geographically dispersed sales network. Increased geographic dispersion in the upstream and downstream supply chain results in the decline of perfect orders, and increases order fulfilment cycle time. However, the increased dispersion of the production network reduces order fulfilment cycle time. The results also indicate that the larger the firm, the better it can alleviate the negative implications of dispersion on perfect order fulfilment. Make‐to‐stock companies suffer less from the supply chain dispersion related delays in comparison to companies that utilise more pull‐type production and inventory strategies.

Research limitations/implications

Research limitations include the cross‐sectional nature of the data, the concentrated geographic origin of the respondents, and the small sample size.

Originality/value

Building on the multidisciplinary body of prior literature on geographic dispersion, the research provides quantified insights into the general principles of international supply chain design in the presence of a performance related trade‐off between the dispersion and centralisation of operations across the tiers of the supply chain. Contributions are made to the discussions on supply chain complexity, international sales portfolio diversification and international purchasing.

Details

Supply Chain Management: An International Journal, vol. 17 no. 6
Type: Research Article
ISSN: 1359-8546

Keywords

To view the access options for this content please click here
Article
Publication date: 30 June 2020

Wolfgang Grenzfurtner and Manfred Gronalt

A deeper understanding of what needs to be considered to improve the targeted incorporation of employees’ knowledge into continuous improvement (CI) programmes in…

Abstract

Purpose

A deeper understanding of what needs to be considered to improve the targeted incorporation of employees’ knowledge into continuous improvement (CI) programmes in industrialised housebuilding (IHB) is required. This paper aims to address the current lack of involvement and connect it to structural and corporate culture factors. To avoid misjudgements in improvement activities as well as to use the full potential of performance improvement ideas, CI tools and measures need to be adapted to facilitate this integration. Relevant factors are analysed and their influences on CI measures are assessed.

Design/methodology/approach

The research approach is built upon an explorative case study supported by a comprehensive literature review. Empirical data were collected through participant observation, guided interviews and company documents.

Findings

The influences on employee involvement within CI programmes and the corresponding suitability of important CI measures were evaluated on a set of relevant factors. These factors include unique building projects, project-based focus on order fulfilment, fragmented order fulfilment process, separation of order fulfilment activities in terms of space and time, procedural rules for dealing with on-site failures, short-term contracts with subcontractors and the practice of evaluating and monitoring performance on site.

Research limitations/implications

The research paves the way for the development of suitable tools, measures and methods to effectively involve employees from all profession within a CI programme in IHB. The empirical part of this research is based on a single case study.

Originality/value

This work extends the body of knowledge of CI application in the construction industry with an analysis of factors influencing its implementation and management.

To view the access options for this content please click here
Article
Publication date: 29 May 2007

Helena Forslund

The purpose of this paper is to develop a scale for measuring information quality in the order fulfilment process.

Abstract

Purpose

The purpose of this paper is to develop a scale for measuring information quality in the order fulfilment process.

Design/methodology/approach

Measurement scales are developed out of the practical information needs and a theory review. A state‐of‐the‐art description and further scale development are based on a survey of the most important suppliers of 136 Swedish companies.

Findings

The paper finds that information quality can be measured with variables as in time, accurate, convenient to access and reliable. The scales were found to possess unidimensionality, validity and reliability.

Research limitations/implications

The implications of this paper are mainly theoretical, providing a foundation for further empirical research.

Practical implications

Even though established customer‐supplier relations were studied, information quality deficiencies were found on all variables. This is an indication of improvement possibilities.

Originality/value

There is a lack of research on measuring the information quality construct, which might be the reason for little empirical research on the impact of information quality on logistics performance.

Details

International Journal of Quality & Reliability Management, vol. 24 no. 5
Type: Research Article
ISSN: 0265-671X

Keywords

To view the access options for this content please click here
Article
Publication date: 1 August 2006

Richard Pibernik

When approaching a stock‐out situation, a company should be able to actively manage the allocation of available products on the basis of customer requirements and…

Abstract

Purpose

When approaching a stock‐out situation, a company should be able to actively manage the allocation of available products on the basis of customer requirements and priorities as well as contractual relationships. The purpose of this paper is to describe different order promising mechanisms and analyze how well they can contribute to the effective management of stock‐out situations.

Design/methodology/approach

The paper provides a formal description and analysis of alternative order promising mechanism applicable in make to stock systems. Numerical analysis is conducted based on the data of a pharmaceutical company.

Findings

The paper clearly points out the potential of alternative order promising mechanisms to alleviate the negative consequences associated with a temporary stock‐out situation.

Research limitations/implications

The paper does not consider implications of inventory pre‐allocation to customer classes. Further research should address the interplay between pre‐allocation and different order allocation mechanisms.

Practical implications

The results obtained from this analysis provide guidelines for manufacturers, retailers, and vendors of supply chain software on how to design and utilize order promising systems.

Originality/value

The paper provides a consistent formal approach to modelling order promising mechanisms, introduce new and innovative order promising mechanisms and provide valuable insight into their performance through numerical analysis.

Details

Journal of Manufacturing Technology Management, vol. 17 no. 6
Type: Research Article
ISSN: 1741-038X

Keywords

To view the access options for this content please click here
Article
Publication date: 7 September 2010

Xiaowen Huang and Byron J. Finch

The purpose of this paper is to empirically test the validity of a two‐factor theory for seller service quality in the online auction context.

Abstract

Purpose

The purpose of this paper is to empirically test the validity of a two‐factor theory for seller service quality in the online auction context.

Design/methodology/approach

A sample of 2,000 buyer feedbacks about seller performance (1,000 positive and 1,000 negative) was collected from eBay. Content analysis of positive and negative feedback was conducted and the frequencies of mention of specific service quality attributes were compared.

Findings

Analysis of total mentions and exclusive mentions of service quality attributes showed significantly different content for positive and negative feedback, supporting the validity of two‐factor theory in this context and adding to the understanding of customer expectations in this environment.

Practical implications

The paper's findings can guide sellers' allocation of efforts in service design, so they can establish and maintain the reputation necessary to attract bidders and successfully compete in high‐risk online environments like eBay.

Originality/value

The paper extends the understanding of quality determinants in a service environment substantially different to traditional environments because of the risks to which buyers are exposed, information asymmetry, and the lack of previous experience with buyers. In addition, the finding of support for two‐factor theory is in a direct contrast with the conventional, one‐factor model subscribed by most quality researchers in the operations management field, and highlights the importance of investigating customer satisfaction and dissatisfaction separately in the online auction environment.

Details

International Journal of Quality & Reliability Management, vol. 27 no. 8
Type: Research Article
ISSN: 0265-671X

Keywords

To view the access options for this content please click here
Article
Publication date: 6 May 2020

K.H. Leung, Daniel Y. Mo, G.T.S. Ho, C.H. Wu and G.Q. Huang

Accurate prediction of order demand across omni-channel supply chains improves the management's decision-making ability at strategic, tactical and operational levels. The…

Abstract

Purpose

Accurate prediction of order demand across omni-channel supply chains improves the management's decision-making ability at strategic, tactical and operational levels. The paper aims to develop a predictive methodology for forecasting near-real-time e-commerce order arrivals in distribution centres, allowing third-party logistics service providers to manage the hour-to-hour fast-changing arrival rates of e-commerce orders better.

Design/methodology/approach

The paper proposes a novel machine learning predictive methodology through the integration of the time series data characteristics into the development of an adaptive neuro-fuzzy inference system. A four-stage implementation framework is developed for enabling practitioners to apply the proposed model.

Findings

A structured model evaluation framework is constructed for cross-validation of model performance. With the aid of an illustrative case study, forecasting evaluation reveals a high level of accuracy of the proposed machine learning approach in forecasting the arrivals of real e-commerce orders in three different retailers at three-hour intervals.

Research limitations/implications

Results from the case study suggest that real-time prediction of individual retailer's e-order arrival is crucial in order to maximize the value of e-order arrival prediction for daily operational decision-making.

Originality/value

Earlier researchers examined supply chain demand, forecasting problem in a broader scope, particularly in dealing with the bullwhip effect. Prediction of real-time, hourly based order arrivals has been lacking. The paper fills this research gap by presenting a novel data-driven predictive methodology.

Details

Industrial Management & Data Systems, vol. 120 no. 6
Type: Research Article
ISSN: 0263-5577

Keywords

To view the access options for this content please click here
Article
Publication date: 16 February 2021

Manu Sharma, Sunil Luthra, Sudhanshu Joshi and Anil Kumar

Coronavirus disease 2019 (COVID-19) has disrupted global supply chains, revealing dreadful gaps and exposing vulnerabilities. Retailers are challenged to tackle risks and…

Abstract

Purpose

Coronavirus disease 2019 (COVID-19) has disrupted global supply chains, revealing dreadful gaps and exposing vulnerabilities. Retailers are challenged to tackle risks and organise themselves to fit into the “new normal” scenario. This global outbreak has established a volatile environment for supply chains; it has raised the question of survival in the market, forcing companies to rethink resilient strategies to be adopted for the post-pandemic situation to mitigate the long-term effects of this virus. This study explores the priorities for retail supply chains (RSCs) to align their business operations and strategies for the post-pandemic world.

Design/methodology/approach

This study has utilised integrated full consistency model (FUCOM) – best–worst method (BWM) for assessment of RSCs to enhance their business performance irrespective of pandemic disruptions. The FUCOM has been employed to identify the priorities of determinants enhancing business performance, whereas RSC strategies are evaluated using the BWM method.

Findings

The current study identifies “Collaboration Efficiency” as the main criterion for accelerating the performance of RSCs in a dynamic social environment. Also, the study concludes that “Order Fulfilment” and “Digital RSCs” are the most appropriate resilient business strategies to mitigate the long-term effects.

Research limitations/implications

Supply-demand balancing is a challenging task at the moment, but highly significant for the future. The pandemic disruptions have placed intense pressure on retailers to deliver products as per consumers' changing behaviours towards the purchase of essentials and other products. Hence, “Order Fulfilment” and “Digital RSCs” should be adopted for meeting customer requirements and to ensure sustainability in the post-pandemic business world.

Originality/value

This work sets out a comprehensive framework which will be helpful for accelerating RSCs performance against pandemic disruption by adopting resilient strategies to mitigate the long-term effects.

Details

Journal of Enterprise Information Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1741-0398

Keywords

To view the access options for this content please click here
Article
Publication date: 25 March 2021

Bhavin Shah and Gaganpreet Singh

In order to achieve competitive advantage over the physical marketplace, the e-retailers are insisted on endowing with lenient return policies. The piece-wise…

Abstract

Purpose

In order to achieve competitive advantage over the physical marketplace, the e-retailers are insisted on endowing with lenient return policies. The piece-wise returns-and-reordering process incurs excessive buffering and unwanted logistics costs which raises overall fulfillment charges. The objective of this study is to re-design e-retail distribution policy by providing temporal storage at logistics service provides' (LSP) location. The impact of recurrent returns on pricing and profit margins are also investigated over time continuum.

Design/methodology/approach

A framework is developed to reduce the non-value added (NVA) storage and distribution efforts by providing collaborative buffering between LSP and e-retailer. The knapsack based buffering approach is tested and compared with traditional e-retail distribution practices. The revenue sharing concept is mathematically modelled and implemented in GAMS, which finally validated through multiple return scenarios.

Findings

The proposed model outperforms the existing one under all scenarios with different configuration settings of re-ordering, profit margins, and buffer time windows. The distribution cost is found, linearly related to the necessary product buffering space. The findings help to re-design sustainable return policies for individual products so that maximum customer value can be yield with minimum costs.

Research limitations/implications

This study helps to determine the NVA efforts incurred while storing and delivering multi-time returned products to ensure desired service levels. The revenue sharing model provides pricing strategies for e-retail practitioners deciding which product should store in what quantity for how much time at the shipping agency location so that it fulfils the re-ordering at least waiting and sufficient buffering.

Originality/value

The proposed model extends the role of LPSs as temporary buffer providers to reduce returns-and-reordering fulfilment efforts in the e-retail network. This Collaborative framework offers an opportunity to amend the distribution contracts and policies time by time that enhances e-retailer's performance and customer satisfaction.

Details

Benchmarking: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1463-5771

Keywords

1 – 10 of over 15000