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Journal of Product & Brand Management, vol. 34 no. 2
Type: Research Article
ISSN: 1061-0421

Available. Open Access. Open Access
Article
Publication date: 13 February 2024

Amer Jazairy, Emil Persson, Mazen Brho, Robin von Haartman and Per Hilletofth

This study presents a systematic literature review (SLR) of the interdisciplinary literature on drones in last-mile delivery (LMD) to extrapolate pertinent insights from and into…

4936

Abstract

Purpose

This study presents a systematic literature review (SLR) of the interdisciplinary literature on drones in last-mile delivery (LMD) to extrapolate pertinent insights from and into the logistics management field.

Design/methodology/approach

Rooting their analytical categories in the LMD literature, the authors performed a deductive, theory refinement SLR on 307 interdisciplinary journal articles published during 2015–2022 to integrate this emergent phenomenon into the field.

Findings

The authors derived the potentials, challenges and solutions of drone deliveries in relation to 12 LMD criteria dispersed across four stakeholder groups: senders, receivers, regulators and societies. Relationships between these criteria were also identified.

Research limitations/implications

This review contributes to logistics management by offering a current, nuanced and multifaceted discussion of drones' potential to improve the LMD process together with the challenges and solutions involved.

Practical implications

The authors provide logistics managers with a holistic roadmap to help them make informed decisions about adopting drones in their delivery systems. Regulators and society members also gain insights into the prospects, requirements and repercussions of drone deliveries.

Originality/value

This is one of the first SLRs on drone applications in LMD from a logistics management perspective.

Details

The International Journal of Logistics Management, vol. 36 no. 7
Type: Research Article
ISSN: 0957-4093

Keywords

Available. Open Access. Open Access
Article
Publication date: 26 February 2025

Pham Quang Huy and Vu Kien Phuc

This research aims at investigating how business process management capabilities (BPMC) impact the effectiveness of sustainable digital transformation (ESDT). Furthermore, it…

76

Abstract

Purpose

This research aims at investigating how business process management capabilities (BPMC) impact the effectiveness of sustainable digital transformation (ESDT). Furthermore, it delves into the mediation of dynamic decision-making (DDM) in the relationship between BPMC and ESDT.

Design/methodology/approach

This research employed the hypothetico-deductive technique. The statistical database was generated from sample of 712 respondents from small and medium companies (SMEs) in Vietnam, utilizing convenience and snowball sampling methods. The two-step process utilizing structural equation modeling, supported by SmartPLS version 4.1.0.9 and AMOS 28, was employed to assess the measurement model, while SmartPLS version 4.1.0.9 was used to evaluate the structural model.

Findings

The results of the analysis emphasize significant and positive correlations between the proposed constructs related to significance and effect size. The statistical results indicated that BPMC had a significant and beneficial effect on ESDT. This relationship was partially mediated by DMM.

Practical implications

The salient point emphasized that practitioners should prioritize enhancing focus on BPMC and DDM, as this would significantly facilitate more comprehensive solutions, enabling SMEs to achieve optimal success in sustainable digital transformation. Policymakers and government influencers are urged to concentrate on innovative attributes and ensure a conducive environment for the implementation of innovation by enacting regulations that promote the application of digital technology.

Originality/value

The findings of this study will broaden scholars’ understanding of the influence of BPMC on ESDT. The originality of the research is to provide research directions for advancing studies on the role of DDM in the context of sustainable digital transformation.

Details

Business Process Management Journal, vol. 31 no. 8
Type: Research Article
ISSN: 1463-7154

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Article
Publication date: 2 December 2024

Zélia Serrasqueiro, Filipe Sardo, Elisabete Neves and Flávio Morais

This study seeks to analyze the effect of the financial distress costs on small and medium-sized enterprises (SME) rebalancing of short-term and long-term debt ratios.

74

Abstract

Purpose

This study seeks to analyze the effect of the financial distress costs on small and medium-sized enterprises (SME) rebalancing of short-term and long-term debt ratios.

Design/methodology/approach

The authors use the system-generalized method of moments (GMM-sys) to treat data collected for a sample of Portuguese manufacturing SMEs for the period 2011–2017.

Findings

Financial distress costs positively impact the speed with which SMEs rebalance their short-term and long-term debt ratios The positive effect of financial distress costs on the speed of adjustment (SOA) is higher for the short-term than for the long-term debt ratio. This result suggests that SMEs seek to overcome quicker the financing imbalance in the short run, probably, due to their dependence on short-term debt.

Practical implications

SME owners-managers should seek to rely less on short-term debt to reduce the firm default risk, the financing imbalance and the financial distress costs. Banks should lend long-term loans to SMEs, given that the high financial distress risk of these firms results from their dependence on short-term debt financing. Policymakers should promote SME access to external finance sources with lower transaction costs, to SME rebalance their capital structures.

Originality/value

This study analyzes the effect of financial distress costs on the SOA with which SMEs rebalance their capital structure. We estimate the financial distress costs based on a hazard model, to analyze their effect on the SOA toward the target debt ratios.

Details

International Journal of Accounting & Information Management, vol. 33 no. 1
Type: Research Article
ISSN: 1834-7649

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