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Article
Publication date: 4 September 2020

Mingjie Hao, Yiming Bie, Le Zhang and Chengyuan Mao

The purpose of this paper is to develop a dynamic control method to improve bus schedule adherence under connected bus system.

992

Abstract

Purpose

The purpose of this paper is to develop a dynamic control method to improve bus schedule adherence under connected bus system.

Design/methodology/approach

The authors developed a dynamic programming model that optimally schedules the bus operating speed at road sections and multiple signal timing plans at intersections to improve bus schedule adherence. First, the bus route was partitioned into three types of sections: stop, road and intersection. Then, transit agencies can control buses in real time based on all collected information; i.e. control bus operating speed on road sections and adjust the signal timing plans through signal controllers to improve the schedule adherence in connected bus environment. Finally, bus punctuality at the downstream stop and the saturation degree deviations of intersections were selected as the evaluation criteria in optimizing signal control plans and bus speeds jointly.

Findings

An illustrative case study by using a bus rapid transit line in Jinan city was performed to verify the proposed model. It revealed that based on the proposed strategy, the objective value could be reduced by 73.7%, which indicated that the punctuality was highly improved but not to incur excessive congestion for other vehicular traffic.

Originality/value

In this paper, the authors applied speed guidance and the adjustment of the signal control plans for multiple cycles in advance to improve the scheduled stability; furthermore, the proposed control strategy can reduce the effect on private traffics to the utmost extend.

Details

Journal of Intelligent and Connected Vehicles, vol. 3 no. 2
Type: Research Article
ISSN: 2399-9802

Keywords

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Article
Publication date: 1 December 2020

Yupeng Zhou, Mengyu Zhao, Mingjie Fan, Yiyuan Wang and Jianan Wang

The set-union knapsack problem is one of the most significant generalizations of the Non-deterministic Polynomial (NP)-hard 0-1 knapsack problem in combinatorial optimization…

231

Abstract

Purpose

The set-union knapsack problem is one of the most significant generalizations of the Non-deterministic Polynomial (NP)-hard 0-1 knapsack problem in combinatorial optimization, which has rich application scenarios. Although some researchers performed effective algorithms on normal-sized instances, the authors found these methods deteriorated rapidly as the scale became larger. Therefore, the authors design an efficient yet effective algorithm to solve this large-scale optimization problem, making it applicable to real-world cases under the era of big data.

Design/methodology/approach

The authors develop three targeted strategies and adjust them into the adaptive tabu search framework. Specifically, the dynamic item scoring tries to select proper items into the knapsack dynamically to enhance the intensification, while the age-guided perturbation places more emphasis on the diversification of the algorithm. The lightweight neighborhood updating simplifies the neighborhood operators to reduce the algorithm complexity distinctly as well as maintains potential solutions. The authors conduct comparative experiments against currently best solvers to show the performance of the proposed algorithm.

Findings

Statistical experiments show that the proposed algorithm can find 18 out of 24 better solutions than other algorithms. For the remaining six instances on which the competitor also achieves the same solutions, ours performs more stably due to its narrow gap between best and mean value. Besides, the convergence time is also verified efficiency against other algorithms.

Originality/value

The authors present the first implementation of heuristic algorithm for solving large-scale set-union knapsack problem and achieve the best results. Also, the authors provide the benchmarks on the website for the first time.

Details

Data Technologies and Applications, vol. 55 no. 2
Type: Research Article
ISSN: 2514-9288

Keywords

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Article
Publication date: 8 November 2024

Qiurong Chen, Dan Huang and Mingjie Miao

This study aims to provide insights and guidance for future research on service robot acceptance in the tourism and hospitality (T&H) domain through a comprehensive literature…

86

Abstract

Purpose

This study aims to provide insights and guidance for future research on service robot acceptance in the tourism and hospitality (T&H) domain through a comprehensive literature review.

Design/methodology/approach

A total of 249 journal articles, retrieved from the Scopus and Web of Science databases, were reviewed using an inductive analysis method.

Findings

Since its emergence in 2008, the topic of robot acceptance has gained significant attention, especially after 2019. The research assesses the current state of research, methodologies used, theoretical foundations and antecedents influencing acceptance. Five categories of antecedents affecting acceptance were systematically identified: robot design factors, individual/organisational factors, situational factors, appraisal factors and affective factors.

Originality/value

This study provides a comprehensive overview of the current landscape of service robot acceptance research. It offers insights and theoretical directions to advance research in the T&H domain.

目的

本研究旨在通过全面的文献综述, 为未来旅游与酒店(T&H)领域服务机器人接受的研究提供见解与指导。

方法

本文采用归纳分析法对检索自Scopus和Web of Science数据库的249篇期刊文章进行分析。

结果

自2008年出现第一篇研究机器人接受的文章以来, 机器人接受话题得到了极大关注, 尤其是在2019年之后。本研究评估了研究现状、方法、理论基础及影响接受的前因。系统性地归纳出影响机器人接受的五类前因:机器人设计、个体与组织、情境、评价及情感因素。

原创性/价值

本研究全面概述了服务机器人接受研究的现状, 为推进旅游与酒店领域的研究进展提供了深刻见解与理论指导。

Propósito

Este estudio tiene como objetivo proporcionar ideas y orientación para futuras investigaciones sobre la aceptación de robots de servicio en el ámbito del turismo y la hospitalidad (T&H) a través de una extensa revisión de la literatura.

Diseño/metodología/enfoque

Se revisaron un total de 249 artículos académicos, obtenidos de las bases de datos Scopus y Web of Science, utilizando un método de análisis inductivo.

Hallazgos

Desde su aparición en 2008, el tema de la aceptación de robots ha recibido una atención significativa, especialmente después de 2019. La investigación evalúa el estado actual de la investigación, las metodologías empleadas, las bases teóricas y los factores que influyen en la aceptación. Se identificaron de manera sistemática cinco categorías de antecedentes que afectan la aceptación: factores de diseño del robot, factores individuales/organizacionales, factores situacionales, factores de evaluación y factores afectivos.

Originalidad/valor

Este estudio proporciona una visión integral del panorama actual del panorama actual de la investigación sobre la aceptación de robots de servicio. Ofrece ideas y direcciones teóricas para avanzar en la investigación en el ámbito de T&H.

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Article
Publication date: 10 April 2023

Feng Liu, Qizheng Wang, Zhihua Zhang, Mingjie Fang and Shufeng (Simon) Xiao

For decades, financing constraints have been a major obstacle to corporate performance. Volumes have been written about the probable factors that can help firms alleviate such…

1113

Abstract

Purpose

For decades, financing constraints have been a major obstacle to corporate performance. Volumes have been written about the probable factors that can help firms alleviate such financial constraints. Nonetheless, empirical evidence concerning the various perspectives on how inventory control may influence financing constraints has been surprisingly scant. Using the resource- and region-based view as theoretical lenses, this study seeks to estimate the relationship between lean inventory, regional financial technology (fintech) and financing constraints.

Design/methodology/approach

Utilizing a large-scale sample of small- and medium-sized enterprises (SMEs) in China's manufacturing sector, the authors empirically test their hypotheses by using hierarchical linear regression models with multiple high-dimensional fixed effects.

Findings

Results indicate that firms with higher levels of inventory leanness and those located in more fintech-developed regions are less likely to encounter financing constraints. Furthermore, inventory leanness and regional fintech ecosystem development interact with each other to mitigate financing constraints. Moreover, inventory leanness significantly decreases firms' financing constraints when the regional fintech ecosystem is highly developed.

Originality/value

The present research contributes to the literature on the interface of supply chain management and financial management. It also provides managerial implications for policymakers and SME stakeholders.

Details

Management Decision, vol. 61 no. 8
Type: Research Article
ISSN: 0025-1747

Keywords

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Article
Publication date: 18 May 2023

Lanhui Cai, Kum Fai Yuen, Mingjie Fang and Xueqin Wang

The COVID-19 pandemic has resulted in significant changes in consumer behaviour, which has had a cascading effect on consumer-centric logistics. As a result, this study conducts a…

1986

Abstract

Purpose

The COVID-19 pandemic has resulted in significant changes in consumer behaviour, which has had a cascading effect on consumer-centric logistics. As a result, this study conducts a focused literature review of pandemic-related consumer behaviour research to address two research questions: 1) what are the pandemic's direct effects on consumer consumption behaviour, with an emphasis on changes in their basic and psychological needs? and 2) what are the consequences of behavioural changes on consumer-centric logistics?

Design/methodology/approach

The scientific procedure and rationales for systematic literature review (SPAR-4-SLR) protocol and the theory, context, characteristics and methodology (TCCM) framework were adopted as a guideline to map, refine, evaluate and synthesise the literature. A total of 53 research articles were identified for further analysis.

Findings

Using Maslow's hierarchy of human needs as a theoretical guide, this review synthesises the COVID-19 pandemic's effects on consumer behaviour into four categories: abnormal buying behaviour, changes in consumer preferences, digitalisation of shopping behaviour and technology-related behaviour. Furthermore, four consumer-centric logistics propositions are proposed based on the four aspects of consumer behavioural changes.

Originality/value

This study outlines the significant behavioural changes in consumers in the face of the COVID-19 pandemic and how these changes impact consumer-centric logistics, with implications for managing consumers' involvement in logistics and pointing out future research directions.

Details

Asia Pacific Journal of Marketing and Logistics, vol. 35 no. 11
Type: Research Article
ISSN: 1355-5855

Keywords

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