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Article
Publication date: 14 November 2022

Peter Fernandez

This column aims to provides an overview of the techniques that make text-to-image generators possible.

Abstract

Purpose

This column aims to provides an overview of the techniques that make text-to-image generators possible.

Design/methodology/approach

This column will be the first in a two-part series, exploring the impacts of text-to-image software with an emphasis on libraries.

Findings

It shows how advances in machine learning and the particular technique of diffusion are critical building blocks for artificial intelligence.

Originality/value

Understanding these technologies and large data sets, which are often scraped by public users, help information professionals understand how this software may further develop, as well as how to help guide their patrons.

Details

Library Hi Tech News, vol. 39 no. 10
Type: Research Article
ISSN: 0741-9058

Keywords

Article
Publication date: 2 December 2022

Le Dang Lang, Abhishek Behl, Francisco Guzmán, Vijay Pereira and Manlio Del Giudice

Scholars have paid considerable attention to the importance of brand loyalty of durable consumer products in developed markets. However, no study has investigated the…

Abstract

Purpose

Scholars have paid considerable attention to the importance of brand loyalty of durable consumer products in developed markets. However, no study has investigated the simultaneous impact of advertising efforts, distribution intensity and store image on global brand loyalty (GBL) of fast-moving consumer goods (FMCG) in emerging markets. This study aims to fill this gap.

Design/methodology/approach

This study adopts (1) established theoretical lenses: brand equity, marketing mix and cue utilization theories, (2) a mixed-methods approach: a focus group and two surveys and (3) structural equation modeling on two samples of consumers (one homogeneous and one heterogeneous) of global soft drink brands in Vietnam.

Findings

The study reveals significant and nonsignificant relationships among the selected marketing mix elements and brand loyalty and its antecedents of global FMCG. Slight differences in these relationships among the two samples are found. The existing scales are also reconciled with more suitable indicators. The results significantly contribute to the existing knowledge on marketing mix, brand equity and GBL, and global consumer culture.

Originality/value

This is the first study to investigate the simultaneous effects of advertising efforts, distribution intensity, and store image on brand loyalty and its antecedents of global FMCG in an emerging market. The findings will help practitioners develop suitable global branding strategies to manage global brand image and achieve consumer loyalty across emerging markets.

Details

International Marketing Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0265-1335

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…

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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. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2398-6247

Keywords

Article
Publication date: 25 October 2022

Imam Syafganti, Sari Ramadanty and Michel Walrave

In the context of integrated promotion, it is essential to promote destination images consistently across multiple digital channels. This study aims to examine the…

Abstract

Purpose

In the context of integrated promotion, it is essential to promote destination images consistently across multiple digital channels. This study aims to examine the consistency of online destination images projected through the official tourism websites and the Instagram accounts of five main destinations in Southeast Asia.

Design/methodology/approach

Previous studies have used correspondence analyses to measure the relationship between categorical variables. In the present study, a Spearman’s rank-order correlation was performed after the correspondence analyses to cross-check the results.

Findings

Destinations in Southeast Asia tend to project images that are similar to each other. The correspondence analyses and Spearman’s correlation found that only one country in the area projected relatively consistent destination images. By contrast, the other destinations tend to promote inconsistent images through their official websites and Instagram accounts.

Originality/value

Previous studies have assessed the consistency of projected destination image by comparing communication channels managed by government/public organisations with channels of private sector organisations. This was achieved by comparing printed materials with digital channels. By contrast, this study highlights the importance of assessing a destination’s online projected image consistency across different digital platforms (official tourism websites and official Instagram accounts) within the perspective of integrated promotion.

Details

Journal of Place Management and Development, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1753-8335

Keywords

Article
Publication date: 6 September 2022

Luciana Brandão Ferreira, Janaina de Moura Engracia Giraldi, Vish Maheshwari and Jorge Henrique Caldeira de Oliveira

This paper aims to verify the brand image effects of holding a sport mega-event by investigating the host city's influence on the country's branding, as a tourist destination.

Abstract

Purpose

This paper aims to verify the brand image effects of holding a sport mega-event by investigating the host city's influence on the country's branding, as a tourist destination.

Design/methodology/approach

This research considered the Rio 2016 Olympic Games and uses quantitative methods: exploratory factor analysis and regression. Data were collected by structured questionnaires with a sample of (n = 274) international respondents with high international travel experience.

Findings

Rio de Janeiro's 2016 host city image positively predicted Brazil's tourist destination image. Both cognitive and affective image dimensions of Rio as a host city predicted Brazil's destination image, but the cognitive image dimensions demonstrated more impact.

Practical implications

Even in a mega-event context, city marketing strategies should be planned and executed with a focus on the country's destination image.

Originality/value

The study contributes by focusing on presenting the importance of the host city image dimensions to the host country destination image in a sports mega-event context. The study investigated a new approach, the impacts of affective and cognitive dimensions in the overall destination image considering two connected destinations and the hosting of a sport mega-event, a condition not found in the literature thus far.

Details

International Journal of Event and Festival Management, vol. 13 no. 4
Type: Research Article
ISSN: 1758-2954

Keywords

Article
Publication date: 7 October 2022

Jiarong Shi and Zihao Jiang

This paper aims to assess the effects of the Chinese cultural element in the brand logo (CCEBL)-product function congruence and CCEBL-brand image congruence on…

Abstract

Purpose

This paper aims to assess the effects of the Chinese cultural element in the brand logo (CCEBL)-product function congruence and CCEBL-brand image congruence on consumer-brand identification and subsequent purchase intention. The authors also explore the moderating role of cultural element authenticity in the process of consumer-brand identification formation.

Design/methodology/approach

An online survey was conducted in China between January and February 2021. A total of 340 valid responses were collected and analyzed. A bootstrap method was employed to verify the hypotheses.

Findings

CCEBL-product function congruence and CCEBL-brand image congruence significantly improve consumers' purchase intentions, and the effects vary among product categories. Consumer-brand identification mediates these relationships. Finally, the relationships between CCEBL-product function congruence, CCEBL-brand image congruence, and consumer-brand identification are moderated by cultural element authenticity.

Originality/value

This is one of the first studies to investigate how local cultural elements in brand logos affect purchase intentions in the context of ethnocentrism. Additionally, this study advances the understanding of brand logo design by explaining and comparing the differences in the effectiveness of local cultural elements in brand logos among utilitarian and hedonic products. Additionally, this study links authenticity to cultural marketing and thus contributes to the literature.

Article
Publication date: 7 September 2022

Davood Ghorbanzadeh and Mohsen Sharbatiyan

Despite promising conceptual developments in value co-creation behaviors, the scholarly attention afforded to the importance of the university website features in…

Abstract

Purpose

Despite promising conceptual developments in value co-creation behaviors, the scholarly attention afforded to the importance of the university website features in strengthening the university brand image and reputation through students’ value co-creation behaviors is limited. University website features are conceptualized as a hierarchical construct with three dimensions: usability, availability and information. This study aims to investigate the effect of university website features and value co-creation behaviors of students on promoting brand image and brand reputation at Islamic Azad University in Iran.

Design/methodology/approach

This study is quantitative. Using convenience sampling techniques, a responsive group of 384 students was chosen from the Islamic Azad University of Tehran in Iran. Survey methods were used for data collection. Partial least squares structural equation modeling was used to test the derived hypotheses.

Findings

The findings of this study indicated that website features have a positive effect on fostering value co-creation behaviors (participation and citizenship behavior), and participation behavior, in turn, improves university brand image and reputation. At the same time, among value co-creation behaviors, citizenship behavior has no impact on the university’s brand image. Finally, the brand image formed through website features and participation behavior positively affects brand reputation.

Research limitations/implications

This study was conducted in the higher education (HE) sector in one cosmopolitan Iranian city (i.e. Tehran), to which Iranians from other cities travel for studying. Thus, the results of this survey include a variety of subcultures. In the future, a study that incorporates all major metropolitan cities of Iran may increase the generalizability of the findings. Unrelated to the purpose of this study, a future research study may extend the currently studied geographical dimensions and examine the antecedents of university brand reputation across different nations using a cross-cultural approach.

Practical implications

Pragmatically, the findings of this study urge university policymakers, information technology managers and marketers to consider the university website’s unique role in assisting co-creation behavior, which in turn promotes university brand image and reputation in the HE market. One of the ways to assess a university’s brand image and reputation is through the university ranking system. Ascending the ranking system can allow a university to attract qualified students.

Originality/value

These findings contribute to the marketing literature by empirically validating the three elements in the website features construct, providing intelligence on how website features can drive value co-creation behaviors, brand image and reputation. Also, results revealed that the brand image of universities positively affects brand reputation. This study highlights the importance of national and international rankings of universities and students’ sensitivity to such rankings. Undoubtedly, this is evident in Iranian students’ behavior in selecting their university.

Details

Interactive Technology and Smart Education, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1741-5659

Keywords

Article
Publication date: 5 October 2022

Aya Mohamed Izzularab, Farouk Radwan, Ramadan Gad and Peter Björk

This study aims to investigate the effect of country image on investment intention and the role of investment image as a mediating factor. Both cognitive and affective…

Abstract

Purpose

This study aims to investigate the effect of country image on investment intention and the role of investment image as a mediating factor. Both cognitive and affective country image dimensions were addressed to assess the functional and emotional aspects of the country image and their effects on investment intention. The current study targeted Egypt, as one of the developing countries, from the point of view of Nordic investors.

Design/methodology/approach

Partial least squares structural equation modeling was used to test the proposed model using data collected from 124 top managers of different companies in the clean energy sector in Nordic countries.

Findings

The results showed that cognitive and affective country images are positively related to the investment image, and that investment image is positively correlated with the investment intention. The investment image has a full mediating role in the relationship between cognitive and affective country images and investment intention.

Originality/value

The past few decades have witnessed a growing interest in country image research; however, limited studies have investigated the impact of country image on foreign investment intention. This study adds to the understanding for the potential contribution of the investment image of developing countries in the decision-making process for the foreign direct investment.

Details

Review of International Business and Strategy, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2059-6014

Keywords

Article
Publication date: 11 October 2022

Jongho Heo, Chaejeong Lee and Bogyeong Min

This study aims to identify and prioritize preferable 2050 future images and the policy agendas of the Republic of Korea using a bottom-up approach, involving legislative…

Abstract

Purpose

This study aims to identify and prioritize preferable 2050 future images and the policy agendas of the Republic of Korea using a bottom-up approach, involving legislative staff of the National Assembly as well as experts from various fields.

Design/methodology/approach

The authors derived three future images from the future policy agendas selected by experts: society for growth of smart generations (GS), society for sustainability and safety (SS) and society for coexistence and diversity (CD). The survey conducted among legislative staff (n = 189) shows that the most preferred future image was SS. Then, the authors prioritized the policy agendas that aligned with future images using priority calculating methods.

Findings

The most prioritized policy agenda was “Social system for coexistence to resolve social conflict,” followed by “Social sustainability through tackling low birth rate.” The next was “Social integration policies to embrace diverse family composition” and “Responding to social change and knowledge transformation caused by artificial intelligence.” Among the top five rankings, two agendas from each SS and CD were selected.

Practical implications

To achieve the preferred future images, implementing policies related to sustainability, human rights and coexistence are necessary for continuous collaboration among stakeholders, especially those from the legislature.

Originality/value

This study presents a method of involving the National Assembly, which is a representative institution of the people and composed of various political parties, to set the national’s future vision and agenda from a long-term perspective.

Details

foresight, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1463-6689

Keywords

Article
Publication date: 8 September 2022

Johnny Kwok Wai Wong, Mojtaba Maghrebi, Alireza Ahmadian Fard Fini, Mohammad Amin Alizadeh Golestani, Mahdi Ahmadnia and Michael Er

Images taken from construction site interiors often suffer from low illumination and poor natural colors, which restrict their application for high-level site management…

Abstract

Purpose

Images taken from construction site interiors often suffer from low illumination and poor natural colors, which restrict their application for high-level site management purposes. The state-of-the-art low-light image enhancement method provides promising image enhancement results. However, they generally require a longer execution time to complete the enhancement. This study aims to develop a refined image enhancement approach to improve execution efficiency and performance accuracy.

Design/methodology/approach

To develop the refined illumination enhancement algorithm named enhanced illumination quality (EIQ), a quadratic expression was first added to the initial illumination map. Subsequently, an adjusted weight matrix was added to improve the smoothness of the illumination map. A coordinated descent optimization algorithm was then applied to minimize the processing time. Gamma correction was also applied to further enhance the illumination map. Finally, a frame comparing and averaging method was used to identify interior site progress.

Findings

The proposed refined approach took around 4.36–4.52 s to achieve the expected results while outperforming the current low-light image enhancement method. EIQ demonstrated a lower lightness-order error and provided higher object resolution in enhanced images. EIQ also has a higher structural similarity index and peak-signal-to-noise ratio, which indicated better image reconstruction performance.

Originality/value

The proposed approach provides an alternative to shorten the execution time, improve equalization of the illumination map and provide a better image reconstruction. The approach could be applied to low-light video enhancement tasks and other dark or poor jobsite images for object detection processes.

Details

Construction Innovation , vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1471-4175

Keywords

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