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Open Access
Article
Publication date: 30 April 2016

Ching-Cheng Chao, Fang-Yuan Chen, Ching-Chiao Yang and Chien-Yu Chen

The e-freight program launched by the International Air Transport Association (IATA) has gradually become a standard specification for international air freight operations. This…

Abstract

The e-freight program launched by the International Air Transport Association (IATA) has gradually become a standard specification for international air freight operations. This study examined critical factors affecting air freight forwarders’ decision to adopt the IATA e-freight using a technology-organization-environment model with air freight forwarders in Taiwan as the base. Our findings show that ‘information technology (IT) competence’, ‘trading partner pressure’, ‘government policy’ and ‘competitive pressure’ all have significant positive effects on air freight forwarders’ decision to adopt the e-freight and the top three factors among these are ‘government funding’, ‘government’s active promotion’ and ‘government’s requirement of electronic air waybill (e-AWB)’. Finally, this study proposes strategies that can encourage air freight forwarders to decide on e-freight adoption for the information of relevant oK regyawniozradtison International Air Transport Association (IATA); IATA e-freight; Technology organization environment model; Air freight forwarder

Details

Journal of International Logistics and Trade, vol. 14 no. 1
Type: Research Article
ISSN: 1738-2122

Open Access
Article
Publication date: 1 September 2022

Yu Chen, Di Jin and Changyi Zhao

Global climate change is a serious threat to the survival and development of mankind. Reducing carbon emissions and achieving carbon neutrality are the keys to reducing greenhouse…

Abstract

Purpose

Global climate change is a serious threat to the survival and development of mankind. Reducing carbon emissions and achieving carbon neutrality are the keys to reducing greenhouse gas emissions and promoting sustainable human development. For many countries, taking China as an example, the electric power sector is the main contributor to the country’s carbon emissions, as well as a key sector for reducing carbon emissions and achieving carbon neutrality. The low-carbon transition of the power sector is of great significance to the long-term low-carbon development of the economy. Therefore, on the one hand, it is necessary to improve the energy supply structure on the supply side and increase the proportion of new energy in the total power supply. On the other hand, it is necessary to improve energy utilization efficiency on the demand side and control the total primary energy consumption by improving energy efficiency, which is the most direct and effective way to reduce emissions. Improving the utilization efficiency of electric energy and realizing the low-carbon transition of the electric power industry requires synergies between the government and the market. The purpose of this study is to investigate the individual and synergistic effects of China’s low-carbon policy and the opening of urban high-speed railways (HSRs) on the urban electricity consumption efficiency, measured as electricity consumption per unit of gross domestic product (GDP).

Design/methodology/approach

This study uses a panel of 289 Chinese prefecture-level cities from the years 1999–2019 as the sample and uses the time-varying difference-in-difference method to test the relationship between HSR, low-carbon pilot cities and urban electricity consumption efficiency. In addition, the instrumental variable method is adopted to make a robustness check.

Findings

Empirical results show that the low-carbon pilot policy and the HSR operation in cities would reduce the energy consumption per unit of GDP, and synergies occur in both HSR operated and low-carbon pilot cities.

Research limitations/implications

This study has limitations that would provide possible starting points for future studies. The first limitation is the choice of the proxy variable of government and market factors. The second limitation is that the existing data is only about whether the high-speed rail is opened or not and whether it is a low-carbon pilot city, and there is no more informative data to combine the two aspects.

Practical implications

The findings of this study can inform policymakers and regulators about the effects of low-carbon pilot city policies. In addition, the government should consider market-level factors in addition to policy factors. Only by combining various influencing factors can the efficient use of energy be more effectively achieved so as to achieve the goal of carbon neutrality.

Social implications

From the social perspective, the findings indicate that improving energy utilization is dependent on the joint efforts of the government and market.

Originality/value

The study provides quantitative evidence to assess the synergic effect between government and the market in the low-carbon transition of the electric power industry. Particularly, to the best of the authors’ knowledge, it is the first to comprehend the role of the city low-carbon pilot policy and the construction of HSR in improving electricity efficiency.

Details

International Journal of Climate Change Strategies and Management, vol. 15 no. 2
Type: Research Article
ISSN: 1756-8692

Keywords

Open Access
Article
Publication date: 25 July 2019

Yu-Shan Athena Chen and Lien-Ti Bei

The purposes of two experiments were to examine how brands may create a broad brand impression and benefit brand extensions by crafting logo frames.

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Abstract

Purpose

The purposes of two experiments were to examine how brands may create a broad brand impression and benefit brand extensions by crafting logo frames.

Design/methodology/approach

Two experimental studies were conducted. Study 1 examines how removing and breaking logo frames expands perceived brand breadth. Study 2 considers the implication of this logo frame effect and indicates the impact of logo frames on brand extension scenarios.

Findings

Removing and breaking logo frames could expand perceived brand breadth and, in turn, benefits the brand extensions, especially for promotion-focused consumers. However, prevention-focused people held favorable brand extension attitudes when the brand logo constructs a complete frame due to its perceived trustworthiness.

Research limitations/implications

As an initial exploration, this study conceptualizes and manipulates logo frames as full framed, partial framed and open logo. Future research studies could include further design features in the examination.

Practical implications

If a brand seeks to be broad, removing or breaking its logo frame is an alternative. However, consequential negative impressions on brand extension attitudes among prevention-focused customers should be considered.

Originality/value

This study is the first investigation into the impacts of logo frame patterns on consumers’ perception of brand breadth and the consequent extension attitudes.

Details

Journal of Product & Brand Management, vol. 29 no. 1
Type: Research Article
ISSN: 1061-0421

Keywords

Open Access
Article
Publication date: 1 December 2022

Chaehwan Lim, Gyuseung Kim and Hun-Koo Ha

Since airlines that employ their resources effectively will achieve operating profitability, air route resource allocation is significant for airlines. This study aims to…

Abstract

Purpose

Since airlines that employ their resources effectively will achieve operating profitability, air route resource allocation is significant for airlines. This study aims to investigate an appropriate model to reallocate resources into each air route of an airline company.

Design/methodology/approach

This study proposes a network centralized data envelopment analysis (DEA) models with slack-based measure (SBM). The proposed model not only takes into account the two interconnected stages but also considers the nonradial approach with transfer-in and transfer-out slacks for resource reallocating. Furthermore, the authors modify the objective function to an input-oriented function with SBM, and divide the model into passenger and freight parts, which makes the model more realistic for the characteristic of air routes.

Findings

The empirical analysis using an airline company's internal data provides airline operators with information on how they increase or decrease input resources, which can serve as a practical guideline of resource reallocation. Specifically, the results indicate that the airline company should increase their input resources into long-haul air routes such as KOR-OCN while decreasing their input resources into short-haul air routes such as Korean-Oceania (KOR-OCN), Korean-Chinese (KOR-CHN), Korean-Southeast Asian (KOR-SEA), Korean-Japanese (KOR-JPN).

Originality/value

Although some papers evaluate air route efficiencies based on the DEA approach, a few existing papers have addressed resource allocation for air routes. This paper is the first to study the resource reallocation for air routes based on the DEA approach, contributing to the literature in expanding the scope of research on resource reallocation.

Details

Journal of International Logistics and Trade, vol. 20 no. 4
Type: Research Article
ISSN: 1738-2122

Keywords

Open Access
Article
Publication date: 26 August 2020

Yu-Shan Athena Chen

The purpose of this study is to identify conditions under which consumers prefer matte packages and those under which they prefer glossy packages and to extend the findings to the…

3197

Abstract

Purpose

The purpose of this study is to identify conditions under which consumers prefer matte packages and those under which they prefer glossy packages and to extend the findings to the context of consumer evaluations.

Design/methodology/approach

A series of four experiments-conducted across a diverse range of settings and consumers (through lab experiments and field studies) and using different types of products (mobile phones, invitation cards, wrappers and coffee packs)- examined the effects of matte and glossy packaging finishes on consumer evaluations (i.e. preferences, attitudes and purchase intentions). This paper further developed moderated mediation models to illustrate the mechanisms underlying the examined effects.

Findings

People with warmth and competence focus favored matte and glossy packaging, respectively. In addition, the warmth (competence) focus enhanced the positive influence of matte (glossy) packaging on brand sincerity (competence), leading to more favorable consumer evaluations (i.e. brand attitudes, product attitudes and purchase intentions).

Practical implications

This study provides managers with insights into conferring desired impressions of sincerity (competence) upon a brand and methods of attracting certain warmth focused (competence focused) consumers by using matte (glossy) packaging finishes.

Originality/value

This is the study to systematically investigate the effect of packaging finishes on brand impressions and consumer evaluations.

Details

Journal of Product & Brand Management, vol. 30 no. 5
Type: Research Article
ISSN: 1061-0421

Keywords

Open Access
Article
Publication date: 4 April 2023

Chun-Chien Lin and Yu-Chen Chang

This study aims to examine how external and internal conditions drive the impact of circular economy mechanism by decomposing into three policy networks in terms of reduce, reuse…

1381

Abstract

Purpose

This study aims to examine how external and internal conditions drive the impact of circular economy mechanism by decomposing into three policy networks in terms of reduce, reuse and recycle, to better understand the contingency model of climate change and effect of firm size on subsequent performance.

Design/methodology/approach

Drawing on circular economy network and resource-based view (RBV)-network-resilience strategy framework, a pooled longitudinal cross-sectional data model is developed using a sample of 4,050 Taiwanese manufacturing multinational corporations (MNCs) making foreign direct investment between 2013 and 2018. Structural equation modeling analysis is used to comprehensively examine and investigate each circular economy policy network in the context of climate change and firm size. Post hoc multigroup analysis (MGA) is also conducted.

Findings

MGA shows that the reduce policy network is positively and negatively related to manufacturing know-how and production size, respectively. The impact of reuse policy network can enhance the competence of large firms. The recycle policy network is more prominent in terms of competence enhancement of climate change.

Practical implications

MNCs are seeking to build circular economy policy networks to a greater extent, given climate change pressure and guidelines.

Originality/value

This study adds to the circular economy and RBV-network-related literature on climate change and interactions to enhance performance, echoing the recent call on the sustainability of the circular economy of MNCs.

Details

International Journal of Climate Change Strategies and Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1756-8692

Keywords

Open Access
Article
Publication date: 29 August 2023

Chuan-Chung Hsieh, Yu-Ran Chen and Hui-Chieh Li

This study examined the impact of school leadership on teacher professional collaboration, with collective teacher innovativeness and teacher self-efficacy (TSE) playing the…

1940

Abstract

Purpose

This study examined the impact of school leadership on teacher professional collaboration, with collective teacher innovativeness and teacher self-efficacy (TSE) playing the mediating role. Two most commonly used leadership styles, instructional leadership (IL) and distributed leadership (DL), were analyzed using a multilevel design, i.e. teachers are nested within schools.

Design/methodology/approach

The proposed model was validated using data of Taiwan TALIS 2018 collected from both teachers and principals and analyzed using hierarchical linear modeling.

Findings

Results showed that IL and DL influence teacher professional collaboration through different paths. IL had a significant direct impact on teacher professional collaboration alone, while DL had a significant direct impact on both teachers' collective innovativeness and their professional collaboration. While TSE had a direct effect on collective teacher innovativeness, TSE and collective teacher innovativeness had a direct effect on teacher professional collaboration.

Originality/value

This study highlights the significant impact of principal leadership as both principals and teachers work in the same environment and culture co-shaped through the interaction and collaboration. Research evidence regarding the effects of IL and DL on teacher professional collaboration is limited; this is even less evidential when the indirect effects of variables mediating between school leadership and teacher outcomes, including teacher collective innovativeness and TSE, are added to the total effects. The present findings provide useful references for principals and teachers when promoting professional collaboration to achieve desired outcomes in school and student improvement.

Details

Journal of Professional Capital and Community, vol. 9 no. 1
Type: Research Article
ISSN: 2056-9548

Keywords

Open Access
Article
Publication date: 10 August 2022

Jie Ma, Zhiyuan Hao and Mo Hu

The density peak clustering algorithm (DP) is proposed to identify cluster centers by two parameters, i.e. ρ value (local density) and δ value (the distance between a point and…

Abstract

Purpose

The density peak clustering algorithm (DP) is proposed to identify cluster centers by two parameters, i.e. ρ value (local density) and δ value (the distance between a point and another point with a higher ρ value). According to the center-identifying principle of the DP, the potential cluster centers should have a higher ρ value and a higher δ value than other points. However, this principle may limit the DP from identifying some categories with multi-centers or the centers in lower-density regions. In addition, the improper assignment strategy of the DP could cause a wrong assignment result for the non-center points. This paper aims to address the aforementioned issues and improve the clustering performance of the DP.

Design/methodology/approach

First, to identify as many potential cluster centers as possible, the authors construct a point-domain by introducing the pinhole imaging strategy to extend the searching range of the potential cluster centers. Second, they design different novel calculation methods for calculating the domain distance, point-domain density and domain similarity. Third, they adopt domain similarity to achieve the domain merging process and optimize the final clustering results.

Findings

The experimental results on analyzing 12 synthetic data sets and 12 real-world data sets show that two-stage density peak clustering based on multi-strategy optimization (TMsDP) outperforms the DP and other state-of-the-art algorithms.

Originality/value

The authors propose a novel DP-based clustering method, i.e. TMsDP, and transform the relationship between points into that between domains to ultimately further optimize the clustering performance of the DP.

Details

Data Technologies and Applications, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2514-9288

Keywords

Open Access
Article
Publication date: 11 July 2023

Miroslav Despotovic, David Koch, Eric Stumpe, Wolfgang A. Brunauer and Matthias Zeppelzauer

In this study the authors aim to outline new ways of information extraction for automated valuation models, which in turn would help to increase transparency in valuation…

Abstract

Purpose

In this study the authors aim to outline new ways of information extraction for automated valuation models, which in turn would help to increase transparency in valuation procedures and thus contribute to more reliable statements about the value of real estate.

Design/methodology/approach

The authors hypothesize that empirical error in the interpretation and qualitative assessment of visual content can be minimized by collating the assessments of multiple individuals and through use of repeated trials. Motivated by this problem, the authors developed an experimental approach for semi-automatic extraction of qualitative real estate metadata based on Comparative Judgments and Deep Learning. The authors evaluate the feasibility of our approach with the help of Hedonic Models.

Findings

The results show that the collated assessments of qualitative features of interior images show a notable effect on the price models and thus over potential for further research within this paradigm.

Originality/value

To the best of the authors’ knowledge, this is the first approach that combines and collates the subjective ratings of visual features and deep learning for real estate use cases.

Details

Journal of European Real Estate Research, vol. 16 no. 2
Type: Research Article
ISSN: 1753-9269

Keywords

Open Access
Article
Publication date: 16 March 2020

Slawomir Koziel and Adrian Bekasiewicz

The purpose of this paper is to exploit a database of pre-existing designs to accelerate parametric optimization of antenna structures is investigated.

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Abstract

Purpose

The purpose of this paper is to exploit a database of pre-existing designs to accelerate parametric optimization of antenna structures is investigated.

Design/methodology/approach

The usefulness of pre-existing designs for rapid design of antennas is investigated. The proposed approach exploits the database existing antenna base designs to determine a good starting point for structure optimization and its response sensitivities. The considered method is suitable for handling computationally expensive models, which are evaluated using full-wave electromagnetic (EM) simulations. Numerical case studies are provided demonstrating the feasibility of the framework for the design of real-world structures.

Findings

The use of pre-existing designs enables rapid identification of a good starting point for antenna optimization and speeds-up estimation of the structure response sensitivities. The base designs can be arranged into subsets (simplexes) in the objective space and used to represent the target vector, i.e. the starting point for structure design. The base closest base point w.r.t. the initial design can be used to initialize Jacobian for local optimization. Moreover, local optimization costs can be reduced through the use of Broyden formula for Jacobian updates in consecutive iterations.

Research limitations/implications

The study investigates the possibility of reusing pre-existing designs for the acceleration of antenna optimization. The proposed technique enables the identification of a good starting point and reduces the number of expensive EM simulations required to obtain the final design.

Originality/value

The proposed design framework proved to be useful for the identification of good initial design and rapid optimization of modern antennas. Identification of the starting point for the design of such structures is extremely challenging when using conventional methods involving parametric studies or repetitive local optimizations. The presented methodology proved to be a useful design and geometry scaling tool when previously obtained designs are available for the same antenna structure.

Details

Engineering Computations, vol. 37 no. 7
Type: Research Article
ISSN: 0264-4401

Keywords

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