Dynamic Configuration of Same-Day Delivery in E-commerce

Kawa, Arkadiusz; Pierański, Bartłomiej; Zdrenka, Wojciech

doi:10.1007/978-3-319-76081-0_26

Cited by 11 publications

(7 citation statements)

References 14 publications

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“…On the customer side, the optimization of the fulfillment processes (Ning et al, 2009) within the supply chain can be implemented with AI technologies. In particular, critical and massive complex tasks, such as coordinating and performing same day delivery (Kawa et al, 2018) to end customers, are made possible only by AI.…”

Section: Ordering Goodsmentioning

confidence: 99%

State-of-the-art and adoption of artificial intelligence in retailing

Weber

Schütte

2019

DPRG

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Purpose In the most abstract way, artificial intelligence (AI) allows human work to be shifted toward technological systems that are currently not fully capable. Following this, the domain of retail can be sketched as a natural fit for the application of AI tools, which are known for their high proportion of human work and concurrent low profit margins. This paper aims to explore the current dissemination of the application of AI within the industry. The value-added core tasks of retail companies are examined to determine the possible utilization and the market adoption within the globally largest retail companies is given. Design/methodology/approach The paper uses two different approaches to identify the scientific state-of-the-art: a search on the major scientific databases and an empirical study of the ten largest international retail companies and their adoption of AI technologies in the domains of wholesale and retail. Findings The application within the different value-added core tasks varies greatly depending on the area. In summary, there are numerous possible applications in all areas. Especially, in areas where future forecasts are needed within the task areas (such as marketing or replenishment), the use of AI, today, is both scientifically and practically highly developed. In contrast, the market adoption of AI is highly variable. The pioneers have integrated extensive applications into everyday business, while the challengers are investing heavily in new initiatives. Some others, however, show neither active use nor any effort to adopt such technology. Originality/value To the best of the author’s knowledge, this is one of the first research contributions to analyze the areas of application and the impact of AI structured along the value-added core processes of retail companies.

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Section: Ordering Goodsmentioning

confidence: 99%

State-of-the-art and adoption of artificial intelligence in retailing

Weber

Schütte

2019

DPRG

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“…In condition of rising popularity of online shopping, courier service is an crucial element effecting e-customers satisfaction and future intentions, but also e-retailers success (Jun, Yang and Kim, 2004;Kawa, Pieranski and Zdrenka, 2018;Liu et al, 2008;Micu, Aivaz and Capatina, 2013;Valaei, Rezaei and Shahijan, 2016;Yu et al, 2012). E-shoppers appreciate convenience of delivery, so they expect services that will suit their needs.…”

Section: Introductionmentioning

confidence: 99%

Determinants of Courier Service Quality in e-Commerce from Customers’ Perspective

Gulc

2020

QIP Journal

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Purpose: In recent years, the increasing popularity of e-commerce has become a driving force behind the development of courier service both in Poland and worldwide. In order to face growing competition on courier market and meet clients’ expectations, one of the crucial strategic goal of courier operators is to provide high quality service. The aim of the article is to identify and classify the key factors which determine the perception of courier service quality by customers shopping online.Methodology/Approach: The first part of paper is focused on the literature review concerning the determinants of courier service quality from customers’ perspective. Next, a survey method was used to collect data among customers using courier service while shopping online in Poland. Finally, the exploratory factor analysis was used to indicate the key dimensions and factors effecting the courier service quality perceived by customers.Findings: The article presents the complex review of literature concerning determinants of courier service and the original scale, which can be used to measure courier service quality. The results of author’s empirical research indicated that, the key dimensions effecting courier service quality from the customers point of view were: Reliability, Visual Identification, Service Complexity, Relational Capital, Social Responsibility, Responsiveness, Technical Quality.Research Limitation/implication: As the reseach aim was to develop the scale of courier service quality, in future research the CFA method (Confirmatory Factor Analysis) should be used to verify the scale. The main limitation of this research concerned a perspective of one stakeholder participating in the process of courier service – e-clients. The further research would be focused on identification of determinants of courier service quality in opinion of online shops and courier companies and development of models resenting the relations between them.Originality/Value of paper: This paper presents the original research that provides new knowledge about determinants of courier service quality in e-commerce. The literature analysis has shown that the previous research were often fragmentary and situational, but also did not take into account the specificity of e-commerce branch.

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“…The researchers concluded that their best policy minimized the average cost of an a priori policy by 9.1% and maximized the orders delivered. A real problem that exists for companies attempting to break into the SDD category is the ability to evolve as an e-commerce platform without compromising revenue (Ulmer, 2017;Kawa et al, 2018;Scherr et al, 2018;Yao et al, 2019). Lin et al (2018) evaluated the efficiency of on-demand same-day delivery models with regards to fuel cost, transportation time, and emission cost.…”

Section: Literature Reviewmentioning

confidence: 99%