Management

Article Environmental Studies

Under the radar? Modern slavery and labour exploitation risks for the hotel industry

K. Bullock, M. Di Domenico, G. Miller, Z. Shirgholami, Y. Wong

Summary: This article examines the challenges faced by the UK's tourism and hospitality industries, which have the highest concentration of migrant workers compared to other industries, in managing the risks of labor exploitation and modern slavery. The study identifies power imbalances, possible enforcement gaps, the normalization and moralization of exploitation, and macro-level political and socioeconomic issues/events as drivers of these risks. The research contributes significant theoretical insights and proposes the concept of the "(in)conspicuous exploitariat" to capture the empowerment, or lack thereof, and potential future risks/opportunities.

TOURISM MANAGEMENT (2024)

Article Environmental Studies

Impacts of user-generated images in online reviews on customer engagement: A panel data analysis

Hengyun Li, Hongbo Liu, Hyejo Hailey Shin, Haipeng Ji

Summary: This study examines the effects of customer-generated images in online reviews on subsequent customer engagement, using computer vision technique and panel data analysis. Findings reveal that the ratio of pictorial reviews positively influences review volume and average review length, while the disparity between review text and photo sentiment has a complex impact on customer engagement. Business price level can mitigate these effects.

TOURISM MANAGEMENT (2024)

Article Management

Analysis of the Chinese government's subsidy programs to restore the pork supply chain: The case of African swine fever

Hengyu Liu, Kai Zheng

Summary: Since August 2018, African swine fever (ASF) has caused over one million pig deaths in China and led to a surge in pork prices. To address this issue, the Chinese government has implemented two farm subsidies: the compulsory culling subsidy (CCS) and the large-scale breeding subsidy (LBS). Through a game-theoretic model, the study explores the optimal design of these subsidy programs and their impacts on different stakeholders.

OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE (2024)

Article Environmental Studies

The effects of temporal distance and post type on tourists' responses to destination marketing organizations' social media marketing

Kaede Sano, Hiroki Sano, Yuji Yashima, Hajime Takebayashi

Summary: This study investigates the interplay effects of temporal distance and post type on tourists' attitude strength changes and decision-making processes. The findings reveal that the effect of DGC on tourists' attitude changes is contextual, and DGC is less influential on tourists' decision-making processes when they have a near travel plan than a distant one. This study emphasizes that DMOs should invest in DGC only in specific contexts.

TOURISM MANAGEMENT (2024)

Article Environmental Studies

Exploring social media affordances in tourist destination image formation: A study on China's rural tourism destination

Juan Liu, Chaohui Wang, Tingting (Christina) Zhang

Summary: This study investigates the impact of social media affordances on the formation of tourist destination image from the perspective of technology affordances. The study finds that social presence and parasocial interaction play a mediating role in the relationship between social media affordances and cognitive image as well as affective image. The findings provide valuable insights for destination marketers to develop and adopt social media strategies for cultivating a positive destination image in the tourism market.

TOURISM MANAGEMENT (2024)

Article Environmental Studies

The travel influencer construct: An empirical exploration and validation

Aikaterini Manthiou, Isabelle Ulrich, Volker Kuppelwieser

Summary: This research develops a measurement scale for travel influencers by analyzing qualitative and quantitative data from consumers. The study identifies five dimensions of the travel influencer construct and applies a Bayesian methodology in an experiential tourism context. The research extends the scope of social media influencers beyond brands and objects, offering theoretical contributions and practical implications for tourism scholars and practitioners.

TOURISM MANAGEMENT (2024)

Article Management

Convex support vector regression

Zhiqiang Liao, Sheng Dai, Timo Kuosmanen

Summary: Nonparametric regression subject to convexity or concavity constraints is gaining popularity in various fields. The conventional convex regression method often suffers from overfitting and outliers. This paper proposes the convex support vector regression method to address these issues and demonstrates its advantages in prediction accuracy and robustness through numerical experiments.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2024)

Article Management

Improving uplift model evaluation on randomized controlled trial data

Bjorn Bokelmann, Stefan Lessmann

Summary: Estimating treatment effects is an important task for data analysts, and uplift models provide support for efficient allocation of treatments. However, evaluating uplift models is challenging due to variance issues. This paper theoretically analyzes the variance of uplift evaluation metrics, proposes variance reduction methods based on statistical adjustment, and demonstrates their benefits on simulated and real-world data.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2024)

Article Management

Newsvendor conditional value-at-risk minimisation: A feature-based approach under adaptive data selection

Congzheng Liu, Wenqi Zhu

Summary: This paper proposes a feature-based non-parametric approach to minimizing the conditional value-at-risk in the newsvendor problem. The method is able to handle both linear and nonlinear profits without prior knowledge of the demand distribution. Results from numerical and real-life experiments demonstrate the robustness and effectiveness of the approach.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2024)

Article Management

Data-driven incentive mechanism design for chronic disease prevention from the perspective of government

Huan Sun, Haiyan Wang

Summary: The current government subsidies on prevention fail to effectively incentivize primary care providers and patients with chronic diseases, resulting in ineffective prevention efforts. To address this issue, a sequential game model is developed, and an incentive mechanism for chronic disease prevention is proposed to encourage primary care providers and patients to make better prevention efforts.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2024)

Article Management

Optimal promotional mix and pricing when faced with uncertain product value

Ruibing Wang, Qiao Wang, Wei-yu Kevin Chiang

Summary: The rapid development of digital technology has allowed firms to adopt innovative strategies for promoting their new products. This study investigates the efficient adoption of a promotional mix consisting of hype advertising campaign (HAC) and referral reward program (RRP). The research findings suggest that HAC and RRP should not always be adopted simultaneously, as consumer referrals may intensify wastage on HAC expenditure.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2024)

Article Management

Digital advertising spillover, online-exclusive product launches, and manufacturer-remanufacturer competition

Zhifeng Qian, Steven James Day, Joshua Ignatius, Lalitha Dhamotharan, Junwu Chai

Summary: This study investigates the unintended impact of digital advertising strategies of manufacturers and e-retailers on the sales of independent remanufacturers. The findings suggest that due to advertising spillover, the advertising efforts of manufacturers and e-retailers may shift the sales of new products to independently remanufactured alternatives. The study also provides recommendations for manufacturers to maximize profits through optimal advertising strategies.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2024)

Article Management

Mathematical formulations for consistent travelling salesman problems

Daniel Diaz-Rios, Juan-Jose Salazar-Gonzalez

Summary: This paper investigates two variants of the consistent travelling salesman problem and proposes a new mathematical model for solving it. The model is applicable to both scenarios with and without waiting times, and its effectiveness is demonstrated through computational experiments.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2024)

Article Management

An effective hybrid evolutionary algorithm for the clustered orienteering problem

Qinghua Wu, Mu He, Jin-Kao Hao, Yongliang Lu

Summary: This paper studies a variant of the orienteering problem known as the clustered orienteering problem. In this problem, customers are grouped into clusters and a profit is associated with each cluster, collected only when all customers in the cluster are served. The proposed evolutionary algorithm, incorporating a backbone-based crossover operator and a destroy-and-repair mutation operator, outperforms existing algorithms on benchmark instances and sets new records on some instances. It also demonstrates scalability on large instances and has shown superiority over three state-of-the-art COP algorithms. The algorithm is also successfully applied to a dynamic version of the COP considering stochastic travel time.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2024)

Correction Management

'How bad can the centroid be?'(vol 252, pg no 98-102, 2016)

Frank Plastria

Summary: This note corrects a blatant error in the author's previous paper and clarifies the conditions under which Theorems 6 and 7 hold.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2024)

Article Management

Compete or cooperate? Effects of channel relationships on government policies for sustainability

Guowei Dou, Tsan-Ming Choi

Summary: This study investigates the impact of channel relationships between manufacturers on government policies and explores the effectiveness of positive incentives versus taxes in increasing social welfare. The findings suggest that competition may be more effective in improving sustainability and social welfare. Additionally, government incentives for green technology may not necessarily enhance sustainability.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2024)

Article Management

New integrated routing and surveillance model with drones and charging station considerations

Fatemeh Zandieh, Seyed Farid Ghannadpour, Mohammad Mahdavi Mazdeh

Summary: This research employs a surveillance drone approach to enhance the transport security of cash/valuables routing. Using drones to identify suspicious and high-risk situations is a secure way to transport cash/valuables. An integrated routing and surveillance problem is proposed, and an improved algorithm is designed to optimize the proposed problem.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2024)

Article Management

Productive efficiency analysis with unobserved inputs: An application to endogenous automation in railway traffic management

Laurens Cherchye, Bram De Rock, Dieter Saelens, Marijn Verschelde, Bart Roets

Summary: This paper proposes a nonparametric methodology for cost inefficiency measurement that considers unobserved inputs in productive efficiency analysis. The study applies this novel method to Belgian railway traffic management control rooms and finds meaningful inefficiencies that cannot be attributed to unobserved inputs or environmental factors.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2024)

Article Management

A simulation evacuation framework for effective disaster preparedness strategies and response decision making

Kuo-Hao Chang, Ying-Zheng Wu, Wen-Ray Su, Lee-Yaw Lin

Summary: The damage and destruction caused by earthquakes necessitates the evacuation of affected populations. Simulation models, such as the Stochastic Pedestrian Cell Transmission Model (SPCTM), can be utilized to enhance disaster and evacuation management. The analysis of SPCTM provides insights for government officials to formulate effective evacuation strategies.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2024)

Article Management

Right-left asymmetry of the eigenvector method: A simulation study

Laszlo Csato

Summary: This paper compares the performance of the eigenvalue method and the row geometric mean as two weighting procedures. Through numerical experiments, it is found that the priorities derived from the two eigenvectors in the eigenvalue method do not always agree, while the row geometric mean serves as a compromise between them.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2024)