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1 – 10 of over 42000
Article
Publication date: 22 January 2024

Sann Ryu

This study aims to examine the visual effects of cause-related marketing (CM) posts on Instagram, with a focus on image resolution and consumer engagement.

Abstract

Purpose

This study aims to examine the visual effects of cause-related marketing (CM) posts on Instagram, with a focus on image resolution and consumer engagement.

Design/methodology/approach

Three studies were conducted through an experimental design. Study 1 (N = 155) uncovered the mediation underlying the effects of image quality (low and high image resolution). Study 2 (N = 160) replicated the findings of the first study and extended the investigation by examining the mediator (fluency) and moderator (visual sensitivity). Study 3 (N = 291) further extended the effects of image resolution by demonstrating its interactive effects with the visual complexity of an Instagram post design in a 2 × 2 factorial experiment.

Findings

The serial mediation analysis demonstrated that high image resolution CM posts yielded more favorable evaluations in terms of brand credibility and information costs saved, subsequently leading to positive brand attitudes, purchase intentions and increased Instagram engagement. Processing fluency mediated image effects on brand credibility, while individual differences in visual sensitivity moderated the image effects. The image resolution effects were greater for visually complex CM posts compared to simple ones.

Originality/value

To one's best knowledge, little to no research has examined the image quality of Instagram posts in the context of CM and the extent to which such visual cues can affect consumers' brand evaluations and engagement on the platform.

Research implications

Despite its practical significance, there exists a notable gap in understanding the specific role of CM posts on Instagram and the impact of visual elements on consumer behaviors. The current research findings aim to bridge the research gap.

Details

Journal of Research in Interactive Marketing, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2040-7122

Keywords

Article
Publication date: 11 August 2021

Wienand Kölle, Matthias Buchholz and Oliver Musshoff

Satellite-based weather index insurance has recently been considered in order to reduce the high basis risk of station-based weather index insurance. However, the use of satellite…

Abstract

Purpose

Satellite-based weather index insurance has recently been considered in order to reduce the high basis risk of station-based weather index insurance. However, the use of satellite data with a relatively low spatial resolution has not yet made it possible to determine the satellite indices free of disturbing landscape elements such as mountains, forests and lakes.

Design/methodology/approach

In this context, the Normalized Difference Vegetation Index (NDVI) was used based on both Moderate Resolution Imaging Spectroradiometer (MODIS) (250 × 250 m) and high-resolution Landsat 5/8 (30 × 30 m) images to investigate the effect of a higher spatial resolution of satellite-based weather index contracts for hedging winter wheat yields. For three farms in north-east Germany, insurance contracts both at field and farm level were designed.

Findings

The results indicate that with an increasing spatial resolution of satellite data, the basis risk of satellite-based weather index insurance contracts can be reduced. However, the results also show that the design of NDVI-based insurance contracts at farm level also reduces the basis risk compared to field level. The study shows that higher-resolution satellite data are advantageous, whereas satellite indices at field level do not reduce the basis risk.

Originality/value

To the best of the author’s knowledge, the effect of increasing spatial resolution of satellite images for satellite-based weather index insurance is investigated for the first time at the field level compared to the farm level.

Details

Agricultural Finance Review, vol. 82 no. 4
Type: Research Article
ISSN: 0002-1466

Keywords

Article
Publication date: 26 October 2018

Jose David Fernandez and Joel de Coninck

Two-photon polymerization (TPP) has become one of the most popular techniques for stereolithography at very high resolutions. When printing relatively large structures at high…

Abstract

Purpose

Two-photon polymerization (TPP) has become one of the most popular techniques for stereolithography at very high resolutions. When printing relatively large structures at high resolutions, one of the main limiting factors is the printing time. The purpose of this paper is to present a new slicing algorithm to minimize printing times.

Design/methodology/approach

Typically, slicing algorithms used for TPP do not take into account the fact that TPP can print at a range of resolutions (i.e. with different heights and diameters) by varying parameters such as exposure time, laser power, photoresist properties and optical arrangements. This work presents multiresolution layered manufacturing (MLM), a novel slicing algorithm that processes 3D structures to separate parts manufacturable at low resolution from those that require a higher resolution.

Findings

MLM can significantly reduce the printing time of 3D structures at high resolutions. The maximum theoretical speed-up depends on the range of printing resolutions, but the effective speed-up also depends on the geometry of each 3D structure.

Research limitations/implications

MLM opens the possibility to significantly decrease printing times, potentially opening the use of TPP to new applications in many disciplines such as microfluidics, metamaterial research or wettability.

Originality/value

There are many instances of previous research on printing at several resolutions. However, in most cases, the toolpaths have to be manually arranged. In some cases, previous research also automates the generation of toolpaths, but they are limited in various ways. MLM is the first algorithm to comprehensively solve this problem for a wide range of true 3D structures.

Details

Rapid Prototyping Journal, vol. 25 no. 1
Type: Research Article
ISSN: 1355-2546

Keywords

Article
Publication date: 17 April 2023

Saima Bashir, Najeeb-ud-din Hakim and G.M. Rather

As technology advances the demand for an analog-to digital converter has increased, as every application demands a converter as per its parameters. Currently, work is done on…

Abstract

Purpose

As technology advances the demand for an analog-to digital converter has increased, as every application demands a converter as per its parameters. Currently, work is done on improvement of data converters at three levels of design – architectural, circuit and physical level. This paper aims to review the work done in the field of analog-to-digital converters (ADCs) at architectural and circuit level and discusses the achievements in this field. Furthermore, a new architecture is proposed, which works at higher resolution and provides optimum design parameters at low power consumption.

Design/methodology/approach

A hybrid architecture combining the features of synthetic approximation register and sigma-delta ADC is presented. The validity of the proposed design at architectural level is verified using MATLAB SIMULINK simulations.

Findings

The design simulation was tested for a sinusoidal wave of 1 V at the test frequency of 60 Hz. The design consumes least power, and is found to yield an error of the order less than 10–3 V, thus providing highly accurate digital output.

Originality/value

The design is applicable in many applications including biomedical systems, Internet-of-Things and earthquake engineering. This architecture can be further optimized to obtain better performance parameters.

Article
Publication date: 14 May 2020

Phuong Minh Khuong, Hasan Ü. Yilmaz, Russell McKenna and Dogan Keles

With the growing deployment of variable renewable energy sources, such as wind and PV and the increasing interconnection of the power grid, multi-regional energy system models…

Abstract

Purpose

With the growing deployment of variable renewable energy sources, such as wind and PV and the increasing interconnection of the power grid, multi-regional energy system models (ESMs) are increasingly challenged by the growth of model complexity. Therefore, the need for developing ESMs, which are realistic but also solvable with acceptable computational resources without losing output accuracy, arises. The purpose of this study is to propose a statistical approach to investigate asynchronous extreme events for different regions and then assess their ability to keep the output accuracy at the level of the full-resolution case.

Design/methodology/approach

To extract the extreme events from the residual demands, the paper focuses on analyzing the tail of the residual demand distributions by using statistical approaches. The extreme events then are implemented in an ESM to assess the effect of them in protecting the accuracy of the output compared with the full-resolution output.

Findings

The results show that extreme-high and fluctuation events are the most important events to be included in data input to maintain the flexibility output of the model when reducing the resolution. By including these events into the reduced data input, the output's accuracy reaches the level of 99.1% compared to full resolution case, while reducing the execution time by 20 times.

Originality/value

Moreover, including extreme-fluctuation along with extreme-high in the reduced data input helps the ESM to avoid misleading investment in conventional and low-efficient generators.

Details

International Journal of Energy Sector Management, vol. 15 no. 2
Type: Research Article
ISSN: 1750-6220

Keywords

Article
Publication date: 13 July 2015

Lihua Yang, G. Zhiyong Lan and Shuang He

This study aims to investigate scholars’ roles in resolving environmental community conflict, as environmental community conflict is becoming an increasingly serious problem in…

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Abstract

Purpose

This study aims to investigate scholars’ roles in resolving environmental community conflict, as environmental community conflict is becoming an increasingly serious problem in contemporary China, and it explored the underlying factors and mechanisms that influence successful conflict resolution.

Design/methodology/approach

Based on a combination of three types of sources – interviews, participant observation and existing literature, the study compared and contrasted 35 cases through a two-stage study project with 25 environmental community conflict cases in the first stage and ten non-environmental cases in the second.

Findings

Results indicate that scholars serve seven roles in community conflict resolution: identification persons for potential sources of community conflict and supporters for the people who evaluate conflict problems before attempting to solve them; advisers for conflict protagonists; leaders of many knowledge-related activities; organizers of entrepreneurial activities for other community members; information brokers between community members and other stakeholders; representatives of the government, firms, community members and other stakeholders; and self-interested participants. While scholars’ participation is important for resolving community conflict, their actions are often not effective. Successful community conflict resolution involving scholars must satisfy eight underlying factors: local scholars’ sustained participation; high capacity; improvement on the organizational level of community members; emphasis on high efficiency knowledge and information transmission; effective finding and use of the community’s social capital; continual optimization on their action strategies; obtainability of some benefits; and non-local scholars’ sustained external support through social capital. The more closely these rules are followed, the more successful scholars’ participation in community conflict resolution will be.

Originality/value

The findings have practical implications for improving the effectiveness of scholars’ participation in community conflict resolution in contemporary China and even in other countries.

Details

International Journal of Conflict Management, vol. 26 no. 3
Type: Research Article
ISSN: 1044-4068

Keywords

Article
Publication date: 21 November 2022

Aslan Ahmet Haykir and Ilkay Oksuz

Data quality and data resolution are essential for computer vision tasks like medical image processing, object detection, pattern recognition and so on. Super-resolution is a way…

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Abstract

Purpose

Data quality and data resolution are essential for computer vision tasks like medical image processing, object detection, pattern recognition and so on. Super-resolution is a way to increase the image resolution, and super-resolved images contain more information compared to their low-resolution counterparts. The purpose of this study is analyzing the effects of the super resolution models trained before on object detection for aerial images.

Design/methodology/approach

Two different models were trained using the Super-Resolution Generative Adversarial Network (SRGAN) architecture on two aerial image data sets, the xView and the Dataset for Object deTection in Aerial images (DOTA). This study uses these models to increase the resolution of aerial images for improving object detection performance. This study analyzes the effects of the model with the best perceptual index (PI) and the model with the best RMSE on object detection in detail.

Findings

Super-resolution increases the object detection quality as expected. But, the super-resolution model with better perceptual quality achieves lower mean average precision results compared to the model with better RMSE. It means that the model with a better PI is more meaningful to human perception but less meaningful to computer vision.

Originality/value

The contributions of the authors to the literature are threefold. First, they do a wide analysis of SRGAN results for aerial image super-resolution on the task of object detection. Second, they compare super-resolution models with best PI and best RMSE to showcase the differences on object detection performance as a downstream task first time in the literature. Finally, they use a transfer learning approach for super-resolution to improve the performance of object detection.

Details

Information Discovery and Delivery, vol. 51 no. 4
Type: Research Article
ISSN: 2398-6247

Keywords

Article
Publication date: 16 January 2017

Yayue Pan and Chintan Dagli

In a typical additive manufacturing (AM) system, it is critical to make a trade-off between the resolution and the build area for applications in which varied dimensions, feature…

Abstract

Purpose

In a typical additive manufacturing (AM) system, it is critical to make a trade-off between the resolution and the build area for applications in which varied dimensions, feature sizes and accuracies are desired. Conventional solutions to this challenge are based on curing of multiple areas with a single high resolution and stitching them to form a large layer. However, because of the lack of the capability in adjusting resolution dynamically, such stitching approaches will elongate the build time greatly in some cases. To address the challenge without sacrificing the build speed, this paper aims to design and develop a novel AM system with dynamic resolution control capability.

Design/methodology/approach

A laser projector is adopted in a vat photopolymerization system. The laser projection system has unique properties, including focus-free operation and capability to produce dynamic mask image irrespective of any surface (flat or curved). By translating the projector along the building direction, the pixel size can be adjusted dynamically within a certain range. Consequently, the build area and resolution could be tuned dynamically in the hardware testbed. Besides, a layered depth image (LDI) algorithm is used to construct mask images with varied resolutions. The curing characteristics under various resolution settings are quantified, and accordingly, a process planning approach for fabricating models with dynamically controlled resolutions is developed.

Findings

A laser projection-based stereolithography (SL) system could tune resolution dynamically during the building process. Such a dynamic resolution control approach completely addresses the build size-resolution dilemma in vat photopolymerization AM processes without sacrificing the build speed. Through fabricating layers with changing resolutions instead of a single resolution, various build areas and feature sizes could be produced precisely, with optimized build speed.

Originality/value

A focus-free laser projector is investigated and adopted in a SL system for the first time. The material curing characteristics with changing focal length and therefore changing light intensities are explored. The related digital mask image planning and process control methods are developed. In digital mask image planning, it is the first attempt to adopt the LDI algorithm, to identify proper resolution settings for fabricating a sliced layer precisely and quickly. In the process of characterizing material curing properties, parametric dependence of curing properties on focal length has been unveiled. This research contributes to the advancement of AM by addressing the historical dilemma of the resolution and build size, and optimizing the build speed meanwhile.

Details

Rapid Prototyping Journal, vol. 23 no. 1
Type: Research Article
ISSN: 1355-2546

Keywords

Article
Publication date: 13 July 2023

T. Bettina Cornwell, Ravi Pappu and Eric Setten

The purpose of this paper is to better understand how consumers perceive and process danger in American football and why they continue to enjoy watching the sport given society’s…

Abstract

Purpose

The purpose of this paper is to better understand how consumers perceive and process danger in American football and why they continue to enjoy watching the sport given society’s increased understanding of the danger to the athletes.

Design/methodology/approach

Two studies, one lab study with eye-tracking (N = 152) and one survey study (N = 444), were conducted. Study 1 examines how the perception of danger associated with football mediates the relationship between exposure to violent or nonviolent video clips and enjoyment of watching video clips. Study 2 examines how device type and screen resolution influence perceptions of danger associated with football.

Findings

Findings support the role that perceived danger plays in sport viewing enjoyment. The results are in keeping with reversal theory where individuals have a protective frame that allows them to experience negative emotions (e.g. anxiety) as positive (e.g. excitement). The research also shows that for larger devices, the perception of danger associated with football is significantly influenced by high resolution.

Social implications

The work, through considering the way consumers experience sport, questions societal tolerance for entertainment that is dangerous to sport participants.

Originality/value

The findings of this work corroborate past research that has found that consumers of sport do enjoy danger for athletes in their viewing experience. Reversal theory is utilized to explain how negative emotions are experienced as positive. The work extends past findings by showing that the characteristics of the device used (large size and high resolution) during sport viewing influence perceptions of danger.

Details

International Journal of Sports Marketing and Sponsorship, vol. 24 no. 5
Type: Research Article
ISSN: 1464-6668

Keywords

Article
Publication date: 1 January 2006

Guangshen Xu, Wanhua Zhao, Yiping Tang and Bingheng Lu

To satisfy the demands for rapid prototyped small‐size objects with intricate microstructures, a high‐resolution stereolithography (SL) system is developed.

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Abstract

Purpose

To satisfy the demands for rapid prototyped small‐size objects with intricate microstructures, a high‐resolution stereolithography (SL) system is developed.

Design/methodology/approach

This novel SL system consists of a single mode He‐Cd laser, an improved optical scanning system, a novel recoating system and a control system. The improved optical system consists of a beam expander, an acoustic‐optic modulator, a galvanometric scanner and an Fθ lens; the recoating system consists of roller pump, resins vat with an integrated high‐resolution translation stage and part building platform and a scraper. Experimental studies were performed to investigate the influences of building parameters on the cured line width and depth.

Findings

With the SL system, a laser light spot with a diameter of 12.89 μm on the focal plane and resin layers with a thickness of 20 μm have been obtained. The experimental results indicate that cured depth and width increase with the ratio of laser power to scanning speed, and cured line with a width of 12 μm and a depth of 28 μm was built, which showed the capability building microstructures with this new SL system.

Research limitations/implications

The building area limited to 65 × 65 mm, is smaller than that of current SL system.

Practical implications

Small objects with intricate microstructures can be fabricated with the SL system.

Originality/value

The high‐resolution SL system provides a solution to the problem that has hampered the progress of SL process into a high resolution ranges below 75 μm.

Details

Rapid Prototyping Journal, vol. 12 no. 1
Type: Research Article
ISSN: 1355-2546

Keywords

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