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1 – 10 of 11
Article
Publication date: 25 March 2021

Georgiana Ciobotaru and Stanislav Chankov

The paper aims to develop (1) a comprehensive framework for classifying crowdshipping business models and (2) a taxonomy of currently implemented crowdshipping business models.

Abstract

Purpose

The paper aims to develop (1) a comprehensive framework for classifying crowdshipping business models and (2) a taxonomy of currently implemented crowdshipping business models.

Design/methodology/approach

The business models of 105 companies offering crowdsourced delivery services are analysed. Cluster analysis and principal component analysis are applied to develop a business model taxonomy.

Findings

A detailed crowdsourced delivery business model framework with 74 features is developed. Based on it, six distinct clusters of crowdshipping business models are identified. One cluster stands out as the most appealing to customers based on social media metrics, indicating which type of crowdshipping business models is the most successful.

Research limitations/implications

Detailed investigations of each of the six clusters and of recent crowdshipping business model developments are needed in further research in order to enhance the derived taxonomy.

Practical implications

This paper serves as a best-practices guide for both start-ups and global logistics operators for establishing or further developing their crowdsourced delivery business models.

Originality/value

This paper provides a holistic understanding of the business models applied in the crowdshipping industry and is a valuable contribution to the yet small amount of studies in the crowd logistics field.

Details

International Journal of Physical Distribution & Logistics Management, vol. 51 no. 5
Type: Research Article
ISSN: 0960-0035

Keywords

Article
Publication date: 29 November 2022

Chandra Kant Upadhyay, Vijayshri Tiwari and Vineet Tiwari

The purpose of this paper is to provide trilogy in the emerging market for the establishment of business, economy and environment which is the new word for the development…

Abstract

Purpose

The purpose of this paper is to provide trilogy in the emerging market for the establishment of business, economy and environment which is the new word for the development of any nation to attain sustainable development. This research explores the prospective crowdshipper's willingness to participate in crowdshipping services through a motivational factor.

Design/methodology/approach

To understand the trend and future of this concept, Google Trends Analysis (GTA) has been used. The theoretical model has been validated empirically using a survey of 287 Indian (Generation Y and Z) urban participants, but focused is on Generation “Z” participants and subsequent analysis have been carried out using structural equation modelling.

Findings

A theoretical framework has been developed connecting the various factions of the crowdsourcing process thus providing an overall view of the process strategy for logistics start-ups. This conceptual framework of sharing economy in emerging market can benefit the prospective suppliers and their target receivers. Particularly trust in crowdshipper plays a significant mediating role between subject factors and next generation user willingness to participate in crowdshipping services for sustainable last-mile delivery.

Originality/value

The present theoretical foundations and frameworks have been studied to get an idea of the main aspects of the field. It has the potential to provide the impetus for collaboration with the various stakeholders thus achieving the sustainable development process. The practical inference of this study is the usability in terms of the plugin application for e-retailer in emerging markets.

Details

International Journal of Emerging Markets, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1746-8809

Keywords

Open Access
Article
Publication date: 22 March 2021

Laurence Saglietto

This study aims to review the literature on sharing economy logistics and crowd logistics to answer the three following questions: How is the literature on sharing economy…

1518

Abstract

Purpose

This study aims to review the literature on sharing economy logistics and crowd logistics to answer the three following questions: How is the literature on sharing economy logistics structured? What are the main trends in sharing economy logistics and crowd logistics? What are the future research options?

Design/methodology/approach

Bibliometric analysis is used to evaluate 85 articles published over the past 12 years; it identifies the top academic journals, authors and research topics contributing to the field.

Findings

The sharing economy logistics and crowd logistics literature is structured around several disciplines and highlights that some are more scientifically advanced than others in their subject definitions, designs, modelling and innovative solutions. The main trends are organized around three clusters: Cluster 1 refers to the optimal allocation of costs, prices, distribution and supplier relationships; Cluster 2 corresponds to business related crowdsourcing and international industry practices; and Cluster 3 includes the impact of transport on last-mile delivery, crowd shipping and the environment.

Research limitations/implications

The study is based on data from peer-reviewed scientific journals and conferences. A broader overview could include other data sources such as books, book chapters, working papers, etc.

Originality/value

Future research directions are discussed in the context of the evolution from crowd logistics to crowd intelligence, and the complexities of crowd logistics such as understanding how the social crowd can be integrated into the logistics process. Our results are part of the crowd science and engineering concept and provide some answers about crowd cyber-system questions regarding crowd intelligence in logistic sector.

Details

International Journal of Crowd Science, vol. 5 no. 1
Type: Research Article
ISSN: 2398-7294

Keywords

Content available
Article
Publication date: 27 May 2021

Valentina Carbone, Aurélien Rouquet and Christine Roussat

Abstract

Details

International Journal of Physical Distribution & Logistics Management, vol. 51 no. 5
Type: Research Article
ISSN: 0960-0035

Article
Publication date: 13 March 2017

Neetima Agarwal, Sumedha Chauhan, Arpan Kumar Kar and Sandeep Goyal

Mobile crowd sensing (MCS) is a new paradigm enabled by Internet of Things (IoT) in which sensor-rich ubiquitous devices collect and share the data over a large geography…

Abstract

Purpose

Mobile crowd sensing (MCS) is a new paradigm enabled by Internet of Things (IoT) in which sensor-rich ubiquitous devices collect and share the data over a large geography. Human behaviour attributes (perception, comprehension and projection) play a key role in the decision-making process for sharing and processing the data. This study aims to understand how situation awareness plays an important role in MCS in an IoT ecosystem.

Design/methodology/approach

A systematic literature review was conducted by following a rigorous search protocol that identified a total of 470 peer-reviewed research papers. These papers were further filtered and finally 31 relevant papers were selected.

Findings

The major issues and concerns arising due to human participation in the MCS system were identified. Further, probable strategies were explored to deal with the challenges resulting due to certain human behaviour attributes.

Practical implications

This study provides the recommendations to address the major challenges related to the MCS system, which in turn may enhance the adoption of emerging smart technology-driven services.

Originality/value

The study is original and is based on the existing literature and its interpretation.

Details

Digital Policy, Regulation and Governance, vol. 19 no. 2
Type: Research Article
ISSN: 2398-5038

Keywords

Article
Publication date: 1 September 2022

Chitresh Kumar and Anirban Ganguly

This study aims to investigate the conditions for the financial feasibility of an incentive-based model for self-drop or crowdsourced drop of the product to be returned at…

Abstract

Purpose

This study aims to investigate the conditions for the financial feasibility of an incentive-based model for self-drop or crowdsourced drop of the product to be returned at designated drop boxes (thereby ensuring a contactless process).

Design/methodology/approach

Constraint-based non-linear mathematical modeling was done for cost differential with and without crowdsourcing. This was analyzed against returns on investment for the installed infrastructure. Scenarios were looked into from the linear, iso-elastic and logarithmic demand functions to identify the optimal incentive policy. The results were further evaluated using “willingness to return” for customer willingness for product returns via drop boxes.

Findings

Crowdsourcing is viable when product returns are no more than 15%–20% of the overall products, with a logistics cost differential of 15%–25%. These were only viable when the product return incentive was within the range of 15%–20% of the product cost, as well as the penalty was in the range of 25 to 40% for wrong returns.

Research limitations/implications

The findings are expected to aid the organizations in successfully designing product return policies while adhering to the post-COVID-19 norms, including contactless transactions and social distancing.

Originality/value

The study provides a look into the viability sensitivity of effective gains/profitability against the required level of service for returns, wrong returns, penalties and incentives for crowdsourcing in a developing country like India.

Details

Journal of Global Operations and Strategic Sourcing, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2398-5364

Keywords

Article
Publication date: 16 August 2022

Saumyaranjan Sahoo, Satish Kumar, Mohammad Zoynul Abedin, Weng Marc Lim and Suresh Kumar Jakhar

Deep learning (DL) technologies assist manufacturers to manage their business operations. This research aims to present state-of-the-art insights on the trends and ways…

Abstract

Purpose

Deep learning (DL) technologies assist manufacturers to manage their business operations. This research aims to present state-of-the-art insights on the trends and ways forward for DL applications in manufacturing operations.

Design/methodology/approach

Using bibliometric analysis and the SPAR-4-SLR protocol, this research conducts a systematic literature review to present a scientific mapping of top-tier research on DL applications in manufacturing operations.

Findings

This research discovers and delivers key insights on six knowledge clusters pertaining to DL applications in manufacturing operations: automated system modelling, intelligent fault diagnosis, forecasting, sustainable manufacturing, environmental management, and intelligent scheduling.

Research limitations/implications

This research establishes the important roles of DL in manufacturing operations. However, these insights were derived from top-tier journals only. Therefore, this research does not discount the possibility of the availability of additional insights in alternative outlets, such as conference proceedings, where teasers into emerging and developing concepts may be published.

Originality/value

This research contributes seminal insights into DL applications in manufacturing operations. In this regard, this research is valuable to readers (academic scholars and industry practitioners) interested to gain an understanding of the important roles of DL in manufacturing operations as well as the future of its applications for Industry 4.0, such as Maintenance 4.0, Quality 4.0, Logistics 4.0, Manufacturing 4.0, Sustainability 4.0, and Supply Chain 4.0.

Details

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

Keywords

Article
Publication date: 27 May 2021

Vikash Sharma, Rakesh D. Raut, Usharani Hareesh Govindarajan and Balkrishna Eknath Narkhede

The research article's primary purpose is to understand the advancements in urban logistics and allied fields over time along with a consideration of its enabling technologies.

Abstract

Purpose

The research article's primary purpose is to understand the advancements in urban logistics and allied fields over time along with a consideration of its enabling technologies.

Design/methodology/Approach

An initial review is used to build a keyword vocabulary, combinations of which were then applied to the Scopus, ScienceDirect, Emerald Insights, the Web of Science (WOS), Elsevier, Taylor and Francis, Wiley, Inderscience, Springer, Google Scholar and IEEE Xplore for extracting academic publication collection. The first part includes bibliometric analysis; network analysis is done based on the finally selected 645 papers (only those articles include either of the keywords mentioned above in title, abstract, and keywords). The second part conducts a review of the existing literature review studies (only 21 literature review studies out of 645 articles). The last one discusses the advancement in the topics based on the selected research articles.

Findings

This research discussed the advancement of the urban logistics and allied field, key academic forums and key researchers. It is evident from the analysis that the research related to key emerging themes like implementing innovative concepts and sustainability; application of green technologies; data collection, visualization, monitoring and sharing; and automatic logistic systems are still in the nascent stage. However, these research areas gained momentum in the recent past.

Research limitations

Urban logistics are essential and play a crucial role for such rapidly growing cities to function. Despite playing a vital role, urban ecosystem logistics is often neglected in formal urban planning. Hence, as a response to customer and business demand, private entities regularly invest in new technologies and solutions. Since such investments are toward profits, various environmental, social and economic challenges arise.

Originality/value

This research investigates the advancements in urban logistics toward smart, sustainable reforms in developing enabling technologies and markets. The obtained research articles are subjected to bibliometric, descriptive, network and content analysis to present a rundown of advancements, relationships and trends in emerging research gaps.

Details

Kybernetes, vol. 51 no. 3
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 10 May 2018

Valentina Carbone, Aurélien Rouquet and Christine Roussat

The growth of collaborative consumption is beginning to stimulate management research on this phenomenon. However, so far, few scholars have studied the logistics aspects…

1371

Abstract

Purpose

The growth of collaborative consumption is beginning to stimulate management research on this phenomenon. However, so far, few scholars have studied the logistics aspects related to these developments. The purpose of this paper is to develop a conceptual approach to the logistics at work in collaborative consumption.

Design/methodology/approach

The authors adopt an inductive, exploratory research method, based on a content analysis involving 32 collaborative consumption initiatives screened through their websites and other secondary sources.

Findings

Based on the way logistics is organized in these initiatives, the authors identify and describe four types of logistics: peer to peer, business, crowd, and open logistics.

Practical implications

The paper makes recommendations for improving the management of collaborative consumption logistics.

Originality/value

Our results enrich the literature about crowd practices and collaborative consumption by conceptualizing alternative roles played by logistics and revealing its specific organizational forms.

Details

International Journal of Physical Distribution & Logistics Management, vol. 48 no. 6
Type: Research Article
ISSN: 0960-0035

Keywords

Article
Publication date: 19 June 2020

Zhangyuan He

Freight network planning and the application of distribution innovations are popular fields of research on sustainable urban logistics. However, considerable research on…

1489

Abstract

Purpose

Freight network planning and the application of distribution innovations are popular fields of research on sustainable urban logistics. However, considerable research on freight network design lacks a comprehensive consideration of the application of distribution innovations. This observation implies that sustainable urban freight research appears highly fragmented in topics of network design and distribution innovations. From the perspective of long-term planning, this situation possibly serves as a barrier to further promotion of sustainability. The objective of this paper is to analyze existing research gaps of literature to further promote the sustainability of urban logistics systems from a future perspective.

Design/methodology/approach

This paper employs a systematic literature review (SLR) method, which covers 164 papers and research works published in 2013–2018. The article corpus involved the innovative schemes of freight network design and the emerging delivery concepts in cities. Based on an analysis of articles' relevance, the most significant research contributions on both city logistics network design and exploitation of distribution innovations are detected.

Findings

This paper has found four research gaps in aspects of network design and distribution innovations. To respond to these gaps, we propose the research framework of sustainable and flexible future urban freight planning (SFFUFP) based on trends of city development, while discussing further research direction on urban freight planning.

Originality/value

The authors have found four research gaps in aspects of both urban freight network design and distribution innovations in which scholars could be encouraged to contribute. The research framework of SFFUFP can further promote sustainable urban logistics from a view of future management.

Details

International Journal of Physical Distribution & Logistics Management, vol. 50 no. 6
Type: Research Article
ISSN: 0960-0035

Keywords

1 – 10 of 11