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Article
Publication date: 30 December 2024

Billy T.W. Yu and Stella T.X. Liu

This analysis examines the evolving role of deep learning in engagement marketing research. It tries to address a critical knowledge gap despite the rapid growth of artificial…

42

Abstract

Purpose

This analysis examines the evolving role of deep learning in engagement marketing research. It tries to address a critical knowledge gap despite the rapid growth of artificial intelligence (AI) applications in this field.

Design/methodology/approach

Using bibliometric techniques, this study analyzes Scopus data to investigate the evolution of engagement marketing research influenced by technology. Overlapping maps, evolution maps and strategic diagrams reveal key trends and intellectual structures within this dynamic field.

Findings

Our analysis reveals key trends in deep learning applications, like focuses on language-interaction, interactivity-privacy and human-focus satisfaction. While results show the contribution in foundational works like linguistics, algorithms and interactive marketing, they also raise concerns about the algorithmic bias, privacy violations and etc.

Research limitations/implications

While Scopus data offers valuable insights, our analysis acknowledges its limitations on publication language. Future research should treasure foundational works and historical context for comprehensive understandings. Additionally, addressing emerging challenges such as negative customer experiences and fairness is crucial for future studies.

Originality/value

This review provides a comprehensive perspective on deep learning applications on engagement marketing research in the context of interactive marketing. We present trends and thematic structures with practical implications for scholars and practitioners. It presents a fuller intellectual landscape and suggests that future research directions shall prioritize a human-centered approach to AI implementation, ultimately fostering genuine customer connections.

Details

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

Keywords

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Article
Publication date: 4 January 2022

Xiang Li, Ming Yang, Hongguang Ma and Kaitao (Stella) Yu

Travel time at inter-stops is a set of important parameters in bus timetabling, which is usually assumed to be normal (log-normal) random variable in literature. With the…

263

Abstract

Purpose

Travel time at inter-stops is a set of important parameters in bus timetabling, which is usually assumed to be normal (log-normal) random variable in literature. With the development of digital technology and big data analytics ability in the bus industry, practitioners prefer to generate deterministic travel time based on the on-board GPS data under maximum probability rule and mean value rule, which simplifies the optimization procedure, but performs poorly in the timetabling practice due to the loss of uncertain nature on travel time. The purpose of this study is to propose a GPS-data-driven bus timetabling approach with consideration of the spatial-temporal characteristic of travel time.

Design/methodology/approach

The authors illustrate that the real-life on-board GPS data does not support the hypothesis of normal (log-normal) distribution on travel time at inter-stops, thereby formulating the travel time as a scenario-based spatial-temporal matrix, where K-means clustering approach is utilized to identify the scenarios of spatial-temporal travel time from daily observation data. A scenario-based robust timetabling model is finally proposed to maximize the expected profit of the bus carrier. The authors introduce a set of binary variables to transform the robust model into an integer linear programming model, and speed up the solving process by solution space compression, such that the optimal timetable can be well solved by CPLEX.

Findings

Case studies based on the Beijing bus line 628 are given to demonstrate the efficiency of the proposed methodology. The results illustrate that: (1) the scenario-based robust model could increase the expected profits by 15.8% compared with the maximum probability model; (2) the scenario-based robust model could increase the expected profit by 30.74% compared with the mean value model; (3) the solution space compression approach could effectively shorten the computing time by 97%.

Originality/value

This study proposes a scenario-based robust bus timetabling approach driven by GPS data, which significantly improves the practicality and optimality of timetable, and proves the importance of big data analytics in improving public transport operations management.

Details

Industrial Management & Data Systems, vol. 122 no. 10
Type: Research Article
ISSN: 0263-5577

Keywords

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Article
Publication date: 4 February 2025

Xing (Stella) Liu, Lisa C. Wan and Anna S. Mattila

This study aims to explore how the extensive implementation of virtual influencers (VIs) in the hospitality and tourism industry shapes tourists’ trust perceptions. Specifically…

152

Abstract

Purpose

This study aims to explore how the extensive implementation of virtual influencers (VIs) in the hospitality and tourism industry shapes tourists’ trust perceptions. Specifically, it compares the differences between human influencers (HIs) and VIs based on mind perception theory and outlines the strategies for hospitality and tourism marketers to efficiently adopt influencers to enhance customers’ trust in diversified consumption contexts.

Design/methodology/approach

Three experiments were conducted with online panels (n = 799). Study 1 outlines the anticipated focal effect and the mediating role of perceived experience. Study 2 replicates the effect and investigates its downstream consequences. Study 3 examines the moderating effect of product type.

Findings

The results reveal that customers are more likely to distrust VIs than their human counterparts because the former is thought to possess a lower degree of perceived experience. This effect is more prominent in the endorsement of experiential (versus functional) products and services.

Originality/value

This research advances the understanding of how tourists perceive HIs andVIs differently in social media endorsement, enriching the growing literature on VIs. Hospitality marketers can also gain insights into the advantages and limitations of VIs, providing valuable information to optimize their marketing effectiveness.

Details

International Journal of Contemporary Hospitality Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0959-6119

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Article
Publication date: 5 July 2022

Amol Vasant Bhide and Milind M. Akarte

This paper aims to assess the feasibility of a hybrid manufacturing and remanufacturing system (HMRS) for essential commodities in the context of COVID-19. Specifically, it…

175

Abstract

Purpose

This paper aims to assess the feasibility of a hybrid manufacturing and remanufacturing system (HMRS) for essential commodities in the context of COVID-19. Specifically, it emphasises using HMRS based on costs associated with various manufacturing activities.

Design/methodology/approach

The combination of mathematical model and system dynamics is used to model the HMRS system. The model was tried on sanitiser bottle manufacturing to generalise the result.

Findings

The remanufacturing cost is higher because of reverse logistics, inspection and holding costs. Ultimately remanufacturing costs turn out to be lesser than the original manufacturing the moment system attains stability.

Practical implications

The study put forth the reason to encourage remanufacturing towards sustainability through government incentives.

Originality/value

The study put forth the feasibility of the HMRS system for an essential commodity in the context of a covid pandemic. The research implemented system dynamics for modelling and validation.

Available. Open Access. Open Access
Article
Publication date: 3 May 2022

Junbo Liu, Yaping Huang, Shengchun Wang, Xinxin Zhao, Qi Zou and Xingyuan Zhang

This research aims to improve the performance of rail fastener defect inspection method for multi railways, to effectively ensure the safety of railway operation.

977

Abstract

Purpose

This research aims to improve the performance of rail fastener defect inspection method for multi railways, to effectively ensure the safety of railway operation.

Design/methodology/approach

Firstly, a fastener region location method based on online learning strategy was proposed, which can locate fastener regions according to the prior knowledge of track image and template matching method. Online learning strategy is used to update the template library dynamically, so that the method not only can locate fastener regions in the track images of multi railways, but also can automatically collect and annotate fastener samples. Secondly, a fastener defect recognition method based on deep convolutional neural network was proposed. The structure of recognition network was designed according to the smaller size and the relatively single content of the fastener region. The data augmentation method based on the sample random sorting strategy is adopted to reduce the impact of the imbalance of sample size on recognition performance.

Findings

Test verification of the proposed method is conducted based on the rail fastener datasets of multi railways. Specifically, fastener location module has achieved an average detection rate of 99.36%, and fastener defect recognition module has achieved an average precision of 96.82%.

Originality/value

The proposed method can accurately locate fastener regions and identify fastener defect in the track images of different railways, which has high reliability and strong adaptability to multi railways.

Details

Railway Sciences, vol. 1 no. 2
Type: Research Article
ISSN: 2755-0907

Keywords

Available. Content available
Book part
Publication date: 7 December 2021

Abstract

Details

New Student Literacies amid COVID-19: International Case Studies
Type: Book
ISBN: 978-1-80071-466-3

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Article
Publication date: 1 April 1994

A. Huerta and F. Casadei

The arbitrary Lagrangian—Eulerian (ALE)formulation, which is already well established in the hydrodynamics andfluid‐structure interaction fields, is extended to materials…

272

Abstract

The arbitrary Lagrangian—Eulerian (ALE) formulation, which is already well established in the hydrodynamics and fluid‐structure interaction fields, is extended to materials with memory, namely, non‐ linear path‐dependent materials. Previous attempts to treat non‐ linear solid mechanics with the ALE description have, in common, the implicit interpolation technique employed. Obviously, this implies a numerical burden which may be uneconomical and may induce to give up this formulation, particularly in fast‐transient dynamics where explicit algorithms are usually employed. Here, several applications are presented to show that if adequate stress updating techniques are implemented, the ALE formulation could be much more competitive than classical Lagrangian computations when large deformations are present. Moreover, if the ALE technique is interpreted as a simple interpolation enrichment, adequate—in opposition to distorted or locally coarse—meshes are employed. Notice also that impossible computations (or at least very involved numerically) with a Lagrangian code are easily implementable in an ALE analysis. Finally, it is important to observe that the numerical examples shown range from a purely academic test to real engineering simulations. They show the effective applicability of this formulation to non‐linear solid mechanics and, in particular, to impact, coining or forming analysis.

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Book part
Publication date: 24 February 2023

Micaela Jaramillo-Arévalo, Aldo Alvarez-Risco, Myreya De-La-Cruz-Diaz, Maria de las Mercedes Anderson-Seminario and Shyla Del-Aguila-Arcentales

Science, Technology, Engineering, and Mathematics (STEM) education, its importance, and its difficulties have been defined. This chapter seeks to present the digital tools that…

Abstract

Science, Technology, Engineering, and Mathematics (STEM) education, its importance, and its difficulties have been defined. This chapter seeks to present the digital tools that have been used during the pandemic period and that have been focused on promoting STEM education at different levels. The efforts made by educational organizations worldwide are mentioned. Different regions are shown presenting the best experiences of digital tools that enhance the elements of STEM and can be extended to different levels of education from elementary school to university. On the other hand, successful experiences of the use of technological tools from the teachers' point of view are shown, depicting the tools that have worked the most during the process of adapting to online classes to devise a much better educational plan that continues to take advantage of digital tools for STEM education.

Details

Sustainable Management in COVID-19 Times
Type: Book
ISBN: 978-1-80382-597-7

Keywords

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Article
Publication date: 5 July 2019

Mirjana Pejic Bach, Emil Tustanovski, Andrew W.H. Ip, Kai-Leung Yung and Vasja Roblek

System dynamics is a whole-system modelling and learning approach, useful for tackling non-linear problems, such as sustainable urban development. The purpose of this paper is to…

1370

Abstract

Purpose

System dynamics is a whole-system modelling and learning approach, useful for tackling non-linear problems, such as sustainable urban development. The purpose of this paper is to review system dynamics applications in the simulation of sustainable urban development over a period from 2005 to 2017.

Design/methodology/approach

The analysis reveals that the number of applications of system dynamics modelling in the area of urban sustainable development increased in the analysed period. Research has changed its focus from the modelling of environmental problems to more complex models, portraying the multidimensional socio-economic processes that have an impact on the sustainability of urban development. Analysed case studies most often use the behaviour reproduction test for model validation, but without a unified approach. In most cases, modelling has been done in China, Germany and the USA, while urban development in the Eastern European countries, Africa and Latin America has not often been investigated. This paper indicates the knowledge gaps and suggests future research directions.

Findings

Papers that report the use of system dynamics modelling reveal a wide range of applications in urban sustainability. The analysis shows significant emphasis on environmental problems, while the interest for modelling social problems has been increasing during the last several years. Most of the modelled problems examine the sustainability of resources (land, water) and waste management, which are used for insights into the reasons for the system behaviour, forecasting future behaviour and policy testing.

Originality/value

The presented models were developed in most cases for the purpose of understanding the phenomena examined, as well as the future use of the models in policy planning. This brings us back to the need for greater stakeholder involvement, not only in the initial phase, but also during the whole modelling process, which could increase understanding, use and ownership of the models in the future, and thus increase their practical application.

Details

Kybernetes, vol. 49 no. 2
Type: Research Article
ISSN: 0368-492X

Keywords

Available. Content available
Book part
Publication date: 14 December 2023

Free Access. Free Access

Abstract

Details

Fashion and Tourism
Type: Book
ISBN: 978-1-80262-976-7

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