bluuebunny/crossref_metadata_2025_split huggingface dataset:
During and after COVID-19: understanding entertainment consumption shifts through habit and customer value perspectives
Authors: Soren Anup Anurag 
Published: November 2024

Purpose
As situational changes result in changing consumption patterns, this study aims to understand the entertainment consumption shifts during and after the COVID-19 pandemic lockdown. Particularly, how users’ habits and use behavior have changed and how these constructs subsequently impact their continuance intention has been investigated. The study proposes a research model based on customer value and habit theory.

Design/methodology/approach
The study proposes a research model based on customer value and habit theory. The data collected during (n = 192) and after (n = 138) COVID-19 situation in the over-the-top (OTT) platforms setting through purposive sampling was analyzed using partial least square structural equation modeling (PLS-SEM).

Findings
The study elucidates that customer perceived value (utilitarian and hedonic values) impacts habit and continuance intention in different situations: during and after COVID-19. It was also shown that habit partially mediates the influence of utilitarian and hedonic values on continuance intention. Further, the extent of use had a negative moderation effect on the habit-continuance intention relationship during COVID-19 but did not moderate the relationship in the post-COVID-19 situation. Finally, it was demonstrated that the effect of utilitarian value increased, whereas that of hedonic value decreased on the continuance intention of OTT platforms in the after-COVID-19 situation compared to during COVID-19.

Practical implications
Although set up in the OTT context, the practitioners from other online entertainment services, and any online service in general, may utilize the study findings to reinforce habit and continuance intentions to address unwanted consequences due to situational changes. The study suggests to the OTT service providers ways to facilitate the habit formation of OTT users. The study recommends constant monitoring of the extent of the use of OTT consumers and user engagement tactics for nurturing the OTT consumption habits of heavy users. The recommendations for maintaining and strengthening the perceived value-continuance intention relationship were also made, which would help the OTT service providers immensely.

Originality/value
The study establishes the mediation effect of habit and the robustness of perceived value in determining continuance intention in varying situations. The results also highlighted the changes in the impact of perceived value and habit on the continuance intention of OTT platforms. The study also advances the literature by demonstrating the differential influence of the extent of use on the habit-continuance intention relationship during and after COVID-19.
A FEM-based model for failure initiation in the microstructure of gray cast iron under uniaxial compression
Authors: Li Zhen , Lei Zhao , Sun Hengyang , Li Bin , Qiao Zhizhong 
Published: November 2024

PurposeThe purpose of this study was to validate the feasibility of the proposed microstructure-based model by comparing the simulation results with experimental data. The study also aimed to investigate the relationship between the orientation of graphite flakes and the failure behavior of the material under compressive loads as well as the effect of image size on the accuracy of stress–strain behavior predictions.Design/methodology/approachThis paper presents a microstructure-based model that utilizes the finite element method (FEM) combined with representative volume elements (RVE) to simulate the hardening and failure behavior of ferrite-pearlite matrix gray cast iron under uniaxial loading conditions. The material was first analyzed using optical microscopy, scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDS) and X-ray diffraction (XRD) to identify the different phases and their characteristics. High-resolution SEM images of the undeformed material microstructure were then converted into finite element meshes using OOF2 software. The Johnson–Cook (J–C) model, along with a damage model, was employed in Abaqus FEA software to estimate the elastic and elastoplastic behavior under assumed plane stress conditions.FindingsThe findings indicate that crack initiation and propagation in gray cast iron begin at the interface between graphite particles and the pearlitic matrix, with microcrack networks extending into the metal matrix, eventually coalescing to cause material failure. The ferritic phase within the material contributes some ductility, thereby delaying crack initiation.Originality/valueThis study introduces a novel approach by integrating microstructural analysis with FEM and RVE techniques to accurately model the hardening and failure behavior of gray cast iron under uniaxial loading. The incorporation of high-resolution SEM images into finite element meshes, combined with the J–C model and damage assessment in Abaqus, provides a comprehensive method for predicting material performance. This approach enhances the understanding of the microstructural influences on crack initiation and propagation, offering valuable insights for improving the design and durability of gray cast iron components.
Point-of-interest recommendation based on the spatial-temporal graph
Authors: Li Mengyue , Li Fei , Wang Zhanquan 
Published: November 2024

Purpose
Point-of-interest (POI) recommendation techniques play a crucial role in mitigating information overload and delivering tailored services. To address limitations in conventional POI recommendation systems, constrained by sparse user-POI interactions and incomplete consideration of temporal dynamics, POI recommendation based on the spatial-temporal graph (STG-POI) is proposed.

Design/methodology/approach
Spatial-temporal sequence graphs from geographical locations and user interaction history data are constructed, which are used to mine spatial-temporal sequence information. Using the data filtered by the band-pass filter, graph neural networks with distance-awareness and sequence-awareness are applied to capture high-order spatial-temporal connections within diverse graph topologies. The model leverages contrastive learning for self-supervised disentanglement of graph representations, providing self-supervised signals for sequential and geographical intent perception, thereby achieving more precise POI personalization.

Findings
Compared to the baseline model GSTN, experiments on the Foursquare and Gowalla data sets reveal that STG-POI improves testing AUC by 2.0%, 2.1%, 2.0% and decreases logloss by 1.9%, 3.3%, 0.3%, respectively. These results indicate the model’s effectiveness in capturing spatial-temporal information, surpassing mainstream POI recommendation baseline models.

Originality/value
This approach constructs a dual graph from user interaction data, harnessing sequential and geographical information as self-supervised signals. It yields decoupled representations of these influences, offering a comprehensive insight into user behaviors and preferences within location-based social networks, thus enhancing recommendation accuracy and interpretability. This approach addresses the challenge in graph convolutional network where only rough and smooth features are conducive to recommendation by using band-pass filters to significantly reduce computational complexity, thereby enhancing recommendation speed by filtering out noise data that does not contribute to recommendation performance. Experimental results indicate that this model surpasses current mainstream approaches in POI recommendation tasks, effectively integrating both geographical and temporal features.
Analytical study on deposits of the aircraft engine piston
Authors: Zhang Lei , Ma Zhe , Li Jing , Wang Jiangbing , Sun Xin , Zhao Yong 
Published: November 2024

Purpose
This study aims to provide data references for deposit cleaning, fuel formulation and lubricant formulation.

Design/methodology/approach
The engine disassembly procedure was carried out based on the IO540 operation manual part number 60297-10-1-7 document. Except for the normal disassembly and assembly of the engine and the measurement of parts, the main test contents included break-in run operation, cylinder pressure test, oil consumption run, pretest calibration run, post-test calibration test and the most critical endurance test. The Lycoming IO-540-V4V5 engine and the customized Hartzell CK319 propeller were selected for the test run.

Findings
The deposits were mainly composed of C, O, B, Al, Br and Pb, which were mainly sourced from fuel, lubricating oil and body materials. XPS analysis showed that the presence of O determined the richness of the deposit components, giving the deposit structure with organic and inorganic components.

Originality/value
This work provides certain data support and reference for subsequent aircraft maintenance, fuel formula and lubricating oil formula. The long-term stability and safety of the aircraft run can be ensured through continuous research, improvement and optimizing the operating of the engine.

Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-08-2024-0300/
The sliding mode controller with composite reaching law for upper limb rehabilitation robot
Authors: Wang Peng , Liu Luyu , Nan Fanghao , Dong RenQuan 
Published: November 2024

Purpose
Assisted training using upper limb rehabilitation robots is beneficial for flaccid paralysis patients in recovering their functional abilities. In the assisted training mode, the patient’s motor ability is limited by factors such as limb muscle tension, and it is prone for the rehabilitation robot to deviate from the prescribed training trajectory. A sliding mode control method based on a fixed time observer is proposed to address the problem of delayed trajectory tracking response of upper limb rehabilitation robots caused by external disturbances such as patient limbs.

Design/methodology/approach
First, aiming at the problem of estimating and compensating for external disturbances in the upper limb rehabilitation robot system, a fixed time observer was designed based on the robot’s dynamic model. Second, the composite sliding mode reaching law combining the smooth function and the power-exponential function is proposed to shorten the convergence time of system states in the startup phase, thereby reducing chattering in the control process and realizing the real-time tracking of the training trajectory by the control system.

Findings
The proposed method provides a solution for the trajectory tracking speed of upper limb rehabilitation robot controllers. In the circular trajectory tracking control, compared to the sliding-mode control method combined with the variable-exponential composite reaching law based on the fixed-time observer, the method in this paper reduces the time for the system state to reach the sliding surface by 0.89 s and improves the response speed by 0.66%.

Originality/value
The composite sliding mode approach law based on smooth function and power exponent function can reduce the time it takes for the system state to reach and remain on the sliding surface and improve the trajectory tracking speed of upper limb rehabilitation robots. This controller improves the accuracy of trajectory control and ensures the robustness of auxiliary rehabilitation training.
Strong presidents and grand corruption scandals in the Philippines
Authors: Batalla Eric V.C. 
Published: November 2024

PurposeThis paper provides evidence from the Philippines that strong presidents (termed here as hyper-presidents) have failed to address systemic corruption despite their anti-corruption rhetoric and promises.Design/methodology/approachThe paper uses a case study methodology to review how “strong presidents” have dealt with the problem of corruption in the Philippines and to examine their handling of grand corruption scandals. Data were collected from court decisions, congressional reports, news reports, journal articles, and other academic publications.FindingsThe paper has two major findings. First, none of the strong presidents were able to build the social and political foundations for anti-corruption reform. Second, in dealing with corruption scandals, the strong presidents observed selective persecution and particularistic concealment (cover-ups) instead of allowing the rule of law to prevail. These findings dismiss the idea of the sufficiency of strong presidents, some of whom project the possession of the political will necessary to combat corruption in the country.Originality/valueWhile the need for strong leaders has been emphasized in the anti-corruption literature, this paper argues that such leaders do not necessarily add to the political commitment needed to fight systemic corruption or even lay the political, institutional, and social foundations for reform. Strong presidents in the weak Philippine state are powerless against the institutions and culture that encourage and tolerate grand corruption.
Essential lessons from an unpromising source: what reformers can learn from the Philippines on corruption control
Authors: Johnston Michael 
Published: November 2024

PurposeCorruption control in the Republic of the Philippines (RP) has hardly failed, but it is not (yet) a success story either. Dramatic “people power” episodes have occurred, but populism has also, at times, led to repression. Still, essential reform lessons are available.Design/methodology/approachThis is a conceptual reassessment of corruption control. Central concerns include the types of corruption experienced in the country, incentives that might sustain collective action, the need to measure both corruption and reform, and linking reform to citizens’ quality of life.FindingsTop-down, whole-country approaches to reform often treat corruption as if it were the same everywhere, thereby emphasizing “best practices”. However, that can be misleading: a best practice in one society might be irrelevant, impossible, or harmful in another. Contemporary reformers must carefully examine the historical, social, economic, and political contexts, as well as the consequences of corruption. Groups and activities seemingly unrelated to corruption control can prove essential. Reformers must fight corruption with people, not for them.Originality/valueThe ultimate goal of reform must be justice: redressing imbalances of power while building social and political trust.
Measuring authentic strategy in local government agencies in the United Arab Emirates
Authors: Jabnoun Naceur 
Published: November 2024

PurposeThis paper develops an instrument for measuring authentic strategy and evaluates the adoption of its dimensions by the local government agencies of the Emirate of Ras Al Khaimah (RAK) in the United Arab Emirates (UAE).Design/methodology/approachThe dimensions of authentic strategy are identified using factor analysis. Cronbach alpha coefficient and multiple linear regression are used to examine the reliability and predictive validity of the instrument. One-sided and one-way ANOVA are used to assess the adoption levels of the dimensions of authentic strategy.FindingsThis paper has identified three valid dimensions of authentic strategy: (a) strategy uniqueness, (b) leadership commitment and stakeholders’ management, and (c) implementation. The results show that RAK local government agencies have adopted all three dimensions. There were no significant differences between the levels of adoption of the three dimensions of authentic strategy.Originality/valueThe instrument can serve as an effective self-assessment tool for organizations aiming at developing genuine strategies and improving outcomes. This paper adds to the limited literature on strategy within the Arab public sector by analyzing strategy practices in the UAE.
Strategic changes in talent development and leadership management in the funeral service industry in Hong Kong
Authors: Leung Alan , Lau Yui-yip , Lee Stephanie W. 
Published: November 2024

PurposeThis paper identifies the strategic changes and explores the solutions for talent development and leadership management to address the challenges faced by the funeral service industry in Hong Kong.Design/methodology/approachIn this study, semi-structured, in-depth interviews were conducted with seven key personnel (funeral director, salesperson, coffin shop owner, and mortuary transporter) engaged in the funeral service industry in Hong Kong. Thematic coding was used to identify and organize emerging themes from the data.FindingsFour overarching themes were identified: (1) Perception of the funeral service industry in Hong Kong; (2) Recruitment, retention, and talent development; (3) Prospects of the funeral service industry in Hong Kong; and (4) Other novel challenges. The findings reveal continuous, radical, and complex challenges that may exceed the capacity of any leader to develop workable solutions.Originality/valueThe funeral service industry is facing radical challenges in modern times. A death-denying attitude is observed, which has severely undermined the study of the funeral service industry.
The effects of conflicting economic and environmental goals on local governments’ responses to citizens’ complaints: evidence from China
Authors: Zhao Xinghua , Cheng Zheng 
Published: November 2024

PurposeThe paper examines how local governments’ responses to citizens’ complaints about environment issues are affected when the complaints involve conflicting goals, particularly economic versus environmental goals. This study focuses on the responsiveness of provincial governments to citizen environmental complaints on the Local Leader Message Board (LLMB) in China.Design/methodology/approachThis study collected 125,364 environment-related complaints lodged by citizens on the LLMB from 2013 to 2021 and identified complaints embodying conflicting goals through a Structural Topic Model (STM). Advanced supervised machine learning (ML) algorithms were employed to enhance the robustness of the findings.FindingsThe results indicate that provincial governments prioritize citizens’ complaints across different types of issues. However, complaints embodying conflicting goals (related to environmental issues) are less likely to get a response. This relationship is moderated by an inverted U-shaped effect of economic dependence on industries. This suggests that the impact of conflicting goals on government responsiveness is dynamic, with the likelihood of provincial governments responding to conflicting complaints initially increasing and then decreasing as economic dependence on industries rises.Originality/valueThe findings enrich the understanding of the consequences of conflicting goals by highlighting their potential as a mechanism to explain the strategic reactions of governments to citizens.
Two decades of cross-border mergers and acquisitions research: A bibliometric analysis
Authors: Jain Akanksha , Kashiramka Smita , Jain Sonali 
Published: November 2024

Purpose
The purpose of this study is to present the overall trend and dynamics in global mergers and acquisitions activity while suggesting future research avenues in this domain. The analysis covers two aspects to examine the main contours of the domain, that is performance analysis followed by thematic cluster analysis.

Design/methodology/approach
Bibliometric analysis has been used for examining 1,433 publications extracted from the Scopus database to identify the research trend between 2000 and 2021. With the help of VosViewer (a bibliometric software), bibliographic coupling, citation, co-authorship, keyword and network analysis have been carried out.

Findings
The analysis reveals that most of the research on cross-border mergers and acquisitions (CBMA) is concentrated in the context of developed markets, USA and UK being the largest. Most of the research till date is confined to wealth effects, value creation, corporate governance, socio-cultural aspects and various determinants of CBMA, all from the standpoint of the acquirer.

Practical implications
The present study highlights numerous opportunities for future research based on empirical analysis. There exists a dearth of studies around CBMA in the context of emerging nations which provides a relatively unexplored field to carry out research work.

Originality/value
The study makes use of a comprehensive list of keywords to have an extensive analysis. This is a pioneering study that has used bibliographic coupling of documents for content analysis and to the best of authors’ knowledge, no previous works on cross-border acquisitions have performed bibliographic coupling for this.
Spatter detection and tracking in high-speed video observations of laser powder bed fusion
Authors: Gobert Christian , Diewald Evan , Beuth Jack L. 
Published: November 2024

Purpose
In laser powder bed fusion (L-PBF) additive manufacturing, spatter particles are ejected from the melt pool and can be detrimental to material performance and powder recycling. Quantifying spatter generation with respect to processing conditions is a step toward mitigating spatter and better understanding the phenomenon. This paper reveals process insights of spatter phenomena by automatically annotating spatter particles in high-speed video observations using machine learning.

Design/methodology/approach
A high-speed camera was used to observe the L-PBF process while varying laser power, laser scan speed and scan strategy on a constant geometry on an EOSM290 using Ti-6Al-4V powder. Two separate convolutional neural networks were trained to segment and track spatter particles in captured high-speed videos for spatter characterization.

Findings
Spatter generation and ejection angle significantly differ between keyhole and conduction mode melting. High laser powers lead to large ejections at the beginning of scan lines. Slow and fast build rates produce more spatter than moderate build rates at constant energy density. Scan strategies with more scan vectors lead to more spatter. The presence of powder significantly increases the amount of spatter generated during the process.

Originality/value
With the ability to automatically annotate a large volume of high-speed video data sets with high accuracy, an experimental design of observed parameter changes reveals quantitively stark changes in spatter morphology that can aid process development to mitigate spatter occurrence and impacts on material performance.