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1 – 10 of 289Akinade Adebowale Adewojo, Aderinola Ololade Dunmade and Adetola Adebisi Akanbiemu
This study aims to explore the potential use of drones in special library services, aiming to enhance accessibility, services and reliability. It examines how drones can provide…
Abstract
Purpose
This study aims to explore the potential use of drones in special library services, aiming to enhance accessibility, services and reliability. It examines how drones can provide library materials to individuals unable to access traditional services and addresses challenges associated with drone implementation.
Design/methodology/approach
This study involves a literature review and case studies to analyze the feasibility and benefits of incorporating drones into special libraries. This study also discusses the synergy between drone technology and artificial intelligence (AI) in enhancing library operations.
Findings
Drones have the potential to transform special libraries by automating tasks, improving efficiency and expanding outreach. Their application ranges from inventory management and book retrieval to security, surveillance and outreach initiatives. AI-powered drones can provide real-time data on library usage and enhance cost-effectiveness. However, challenges including costs, privacy concerns and regulatory frameworks need to be addressed.
Originality/value
The integration of drones and AI in special library services presents a novel approach to revolutionizing library operations. This study uniquely combines these technologies, emphasizing the importance of proactive consideration of challenges and prospects for successful implementation.
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Abdul Hafaz Ngah, Ramayah Thurasamy, Samar Rahi, Nurul Izni Kamalrulzaman, Aamir Rashid and Fei Long
Drones will become part of daily lives similar to smartphones becoming a staple of modern living. Nonetheless, only several past studies investigated the intention to utilise…
Abstract
Purpose
Drones will become part of daily lives similar to smartphones becoming a staple of modern living. Nonetheless, only several past studies investigated the intention to utilise drones for parcel delivery however, the intention to use drones among online shoppers was not fully explored. The study attempts to investigate the factors influencing the intention to use drones for last-mile delivery.
Design/methodology/approach
A total of 292 data were gathered via an online survey among online shoppers applying a snowball sampling method. Since the study operationalised the measures as composites, a combination of reflective and formative measurement, and the study focusses on predictive purposes, partial least squares structural equation modelling with SmartPLS 4 was applied to test the model developed based on the stimulus-organism-response model.
Findings
The analysis found that all the direct hypotheses were found supported. Moreover, Green support, green desire and pro-environmental behaviour positively and sequentially mediated future orientation and intention, whereas technology anxiety and perceived safety moderated the relationship between pro-environmental behaviour and intention.
Research limitations/implications
The respondents only limit to the online shoppers in Malaysia which based on purposive sampling method, thus the findings cannot be generalized to another countries.
Practical implications
Besides enriching the literature on drone studies, the findings provided practical insights to online platforms and drone operators to develop an effective strategy to encourage online shoppers to shift from conventional delivery to drone delivery.
Originality/value
The study developed a new model for drone delivery studies using the S-O-R model in introducing orientation towards the future and green support as the stimulus, green desire as an organism and pro-environmental behaviour and usage intention as a response. The study introduced multiple sequential mediators, also contributing to the S-O-R model to predict online shoppers' behaviour towards drones as a tool for last-mile delivery. Another important contribution, technology anxiety and perceived safety were confirmed to have a moderation effect for the relationship between pro-environmental behaviour and intention to use drones for last-mile delivery.
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Chandresh Kumbhani and Ravi Kant
Strategic integration of enablers and the realization of drone delivery benefits emerge as essential strategies for business organizations to enhance operational efficiency and…
Abstract
Purpose
Strategic integration of enablers and the realization of drone delivery benefits emerge as essential strategies for business organizations to enhance operational efficiency and stay competitive in last-mile logistics. This paper aims to explore the benefits of drone-based last-mile delivery in the Indian logistic sector by providing a framework for ranking drone delivery benefits (DDBs) due to the adoption of its enablers.
Design/methodology/approach
This study proposes a novel hybrid framework applied in the Indian logistic sector by integrating a sentence boundary extraction algorithm for extracting benefits from literature, a spherical fuzzy analytical hierarchy process (SF-AHP) for evaluating primary enablers, unsupervised fuzzy C-means clustering (FCM) for clustering benefits and a spherical combined compromised solution (SF-CoCoSo) for ranking benefits with respect to primary enablers.
Findings
The results reveal that technological and infrastructure enablers (TIE), government and legislation enablers (GLE) and operational and service quality enablers (OSE) are the most significant enablers for drone implementation in logistics. Top-ranked benefits increase the efficiency of last-mile delivery (DDB10), foster supply chain management and logistic sustainability (DDB16) and increase delivery access to rural area and vulnerable people (DDB17).
Practical implications
This research assists scholars, entrepreneurs and policymakers in the sustainable deployment of drone delivery in the logistics sector. This study facilitates the use of drones in delivery services and provides a foundation for all stakeholders in logistics.
Originality/value
The assessments involve considering judgment from a highly knowledgeable and experienced group in India, characterized by a large volume of inputs and a high level of expertise.
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This paper aims to explore the global trends and status of drone journalism through a systematic bibliometric analysis, aiming to provide a comprehensive understanding of the…
Abstract
Purpose
This paper aims to explore the global trends and status of drone journalism through a systematic bibliometric analysis, aiming to provide a comprehensive understanding of the field's evolution, impact and interdisciplinary nature.
Design/methodology/approach
This study uses established bibliometric tools and frameworks to systematically review scholarly publications related to drone journalism. Using the Dimensions.ai database, a systematic mapping of the intellectual landscape of drone journalism research is conducted. Bibliometrix package of R Studio was used in the study.
Findings
The analysis reveals a progressive growth in drone journalism research over the years. Although research output consistently increases, variations in impact, measured by citations and online engagement, are observed. Missing data and contextual factors necessitate careful interpretation, but trends suggest an evolving field with diverse interests and future exploration opportunities. Drone journalism research exhibits interdisciplinary characteristics, with impact varying across different research categories. The distribution of research across various publication types underscores the diversity of scholarly communication channels in the field.
Research limitations/implications
This study acknowledges limitations in its data set, stemming from specific keyword criteria, potentially limiting the comprehensive capture of all drone journalism research.
Practical implications
This study offers valuable insights for researchers, practitioners and policymakers seeking to navigate the dynamic landscape of drone journalism. The understanding of publication patterns, influential authors and interdisciplinary intersections facilitates informed decisions regarding research dissemination and impact maximization.
Originality/value
This research contributes to the evolving field of drone journalism by providing a holistic view of its trends and status. The identification of prolific authors, influential publications and evolving research themes offers valuable context for understanding the multifaceted nature of drone journalism research.
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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…
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.
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Sanaz Khalaj Rahimi and Donya Rahmani
The study aims to optimize truck routes by minimizing social and economic costs. It introduces a strategy involving diverse drones and their potential for reusing at DNs based on…
Abstract
Purpose
The study aims to optimize truck routes by minimizing social and economic costs. It introduces a strategy involving diverse drones and their potential for reusing at DNs based on flight range. In HTDRP-DC, trucks can select and transport various drones to LDs to reduce deprivation time. This study estimates the nonlinear deprivation cost function using a linear two-piece-wise function, leading to MILP formulations. A heuristic-based Benders Decomposition approach is implemented to address medium and large instances. Valid inequalities and a heuristic method enhance convergence boundaries, ensuring an efficient solution methodology.
Design/methodology/approach
Research has yet to address critical factors in disaster logistics: minimizing the social and economic costs simultaneously and using drones in relief distribution; deprivation as a social cost measures the human suffering from a shortage of relief supplies. The proposed hybrid truck-drone routing problem minimizing deprivation cost (HTDRP-DC) involves distributing relief supplies to dispersed demand nodes with undamaged (LDs) or damaged (DNs) access roads, utilizing multiple trucks and diverse drones. A Benders Decomposition approach is enhanced by accelerating techniques.
Findings
Incorporating deprivation and economic costs results in selecting optimal routes, effectively reducing the time required to assist affected areas. Additionally, employing various drone types and their reuse in damaged nodes reduces deprivation time and associated deprivation costs. The study employs valid inequalities and the heuristic method to solve the master problem, substantially reducing computational time and iterations compared to GAMS and classical Benders Decomposition Algorithm. The proposed heuristic-based Benders Decomposition approach is applied to a disaster in Tehran, demonstrating efficient solutions for the HTDRP-DC regarding computational time and convergence rate.
Originality/value
Current research introduces an HTDRP-DC problem that addresses minimizing deprivation costs considering the vehicle’s arrival time as the deprivation time, offering a unique solution to optimize route selection in relief distribution. Furthermore, integrating heuristic methods and valid inequalities into the Benders Decomposition approach enhances its effectiveness in solving complex routing challenges in disaster scenarios.
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Srividhya Raju Sridharan, Sagar Malsane and Govinda Shashikant Bhutada
The purpose of the paper is to analyse the sequence of forces acting as barriers in the usage of drones in the construction industry using interpretive structural modelling (ISM)…
Abstract
Purpose
The purpose of the paper is to analyse the sequence of forces acting as barriers in the usage of drones in the construction industry using interpretive structural modelling (ISM). The usage of drones in the construction industry is brought out phase-wise with the help of literature and live cases. Barriers to the usage of drones in construction and steps to derive the interaction between them are described in detail.
Design/methodology/approach
The extraction of barriers to the usage of drones in construction is done through cases and supported by the literature. The identification of the interaction between the barriers is done through multi-criteria decision models, namely, ISM and Matriced Impacts Croises Multiplication Appliquee a un Classement (MICMAC) and the results are presented in the form of a hierarchical structure. The paper highlights the potential for the usage of drones in every phase of construction across three stages of construction and eight different applications.
Findings
The findings on the interaction between barriers show that technical and research and development-related barriers have a higher driving power, ultimately influencing negativity among stakeholders in drone usage for construction. By analysing interrelationships between barriers, management can frame suitable strategies to adopt drone usage in projects. Awareness about the strength of certain barriers can help management take steps to mitigate the same.
Research limitations/implications
By analysing interrelationships between barriers, management can frame suitable strategies to adopt drone usage in projects. A major limitation is a restriction of the study area to the Indian subcontinent. However, the authors believe that the results can be applied across countries where drone technology is at the nascent stage.
Practical implications
Awareness about the strength of certain barriers can help stakeholders take steps to mitigate the same.
Social implications
The results of this research also give some inputs to the government’s drone policy for wider usage of drones in the construction industry.
Originality/value
To the best of the authors’ knowledge, most studies on drones in construction industry bring out a list various challenges to their adoption. In this study, the authors have gone further to perform a hierarchical sequencing of barriers to drone adoption based on challenges faced in an emerging economy like India.
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Kian Yeik Koay and Mei Kei Leong
The purpose of this study is to examine the factors influencing consumers' intentions to use drone food delivery services from the perspective of the theory of consumption values…
Abstract
Purpose
The purpose of this study is to examine the factors influencing consumers' intentions to use drone food delivery services from the perspective of the theory of consumption values (TCV).
Design/methodology/approach
Data collection involves the utilisation of self-administered questionnaires. Subsequently, 305 data were gathered from Malaysian consumers and subjected to analysis through partial least squares structural equation modelling (PLS-SEM).
Findings
This study demonstrated that functional, social, emotional and epistemic values, as well as personal innovativeness, can strongly predict intentions. However, neither the conditional value nor environmental concerns were significant predictors of intentions.
Originality/value
The study is the first of its kind to use the TCV from the perspective of a developing country to understand consumers' intentions to use drone food delivery services.
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Luciano de Brito Staffa Junior, Dayana Bastos Costa, João Lucas Torres Nogueira and Alisson Souza Silva
This work aims to develop a web platform for inspecting roof structures for technical assistance supported by drones and artificial intelligence. The tools used were HTML, CSS and…
Abstract
Purpose
This work aims to develop a web platform for inspecting roof structures for technical assistance supported by drones and artificial intelligence. The tools used were HTML, CSS and JavaScript languages; Firebase software for infrastructure; and Custom Vision for image processing.
Design/methodology/approach
This study adopted the design science research approach, and the main stages for the development of the web platform include (1) creation and validation of the roof inspection checklist, (2) validation of the use of Custom Vision as an image recognition tool, and (3) development of the web platform.
Findings
The results of automatic recognition showed a percentage of 77.08% accuracy in identifying pathologies in roof images obtained by drones for technical assistance.
Originality/value
This study contributed to developing a drone-integrated roof platform for visual data collection and artificial intelligence for automatic recognition of pathologies, enabling greater efficiency and agility in the collection, processing and analysis of results to guarantee the durability of the building.
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Ahmed Elaksher and Bhavana Kotla
Photogrammetry enables scientists and engineers to make accurate and precise measurements from optical images and other patterns of reflected electromagnetic energy…
Abstract
Purpose
Photogrammetry enables scientists and engineers to make accurate and precise measurements from optical images and other patterns of reflected electromagnetic energy. Photogrammetry is taught in surveying, geomatics and similar academic programs. For a long time, it has been observed that there is a lack of diversity and underrepresentation of different groups in the surveying and geomatics workforces for various reasons. Diversity fosters more innovative environments, helps employees be more engaged and boosts productivity rates. Although efforts are being made to solve this problem, most attempts did not significantly improve the diversity issues in this field. To address this problem, we designed a new curriculum for a photogrammetry course, which integrates entrepreneurial mindset (EM), bio-inspired design and Science, Technology, Engineering, Arts and Mathematics (STEAM) into the photogrammetry course for this study.
Design/methodology/approach
In this study, the participatory action research method, Photovoice, was used to gather data. Students were asked to respond to photovoice and metacognitive reflection prompts to understand student perceptions about the importance of Unmanned Aerial Vehicles (UAVs) in photogrammetric mapping. Students were required to respond to each prompt with three pictures and a narrative. These reflections were analyzed using thematic analysis.
Findings
The analysis of the photovoice and metacognitive reflections resulted in six themes: promoting digital literacy, promoting job readiness and awareness, improving perceived learning outcomes, increasing interest in pursuing careers in surveying/geomatics, encouraging learner engagement and increasing awareness of the role of art in map making.
Originality/value
This is the first study conducted at our Hispanic Serving Institution, which specifically designed a curriculum integrating EM, bio-inspired design and STEAM concepts to address diversity issues in surveying and geomatics engineering disciplines.
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