bluuebunny/crossref_metadata_2025_split huggingface dataset:
Employability skills among work ready professionals in higher education: mapping the field through bibliometric analysis with R studio
Authors: Rathee Vijay , Mittal Preeti 
Published: April 2024

PurposeThe current study intends to synthesise the prior studies on employability skills among work-ready professionals in higher education through bibliometric and network visualisation tools. This study also identifies the gaps in the existing literature that still need to be filled and maps the course for future investigation.Design/methodology/approachThe current study examined research papers on employability skills among work-ready professionals in higher education to evaluate global patterns and the top authors, institutions, journals, and nations contributing to this field. The authors analysed eight hundred eighty-five papers from the Scopus database between 1982 and 2023 for the study. Open-source bibliometric tools like Biblioshiny were used in the study to examine the body of literature and to spot new directions for future research.FindingsThe study’s findings indicate that since 2008, researchers, academics, and policymakers have paid more attention to employability skills among work-ready professionals, and 2019 is the year seeing the highest no. of publications. Across the globe, 2077 authors contributed to the articles, papers, and journals published in the particular domain. Regarding location, the United Kingdom is the world’s most productive nation, with 342 articles produced. Similarly, Australia, India, and Malaysia are the leading nations that have contributed to the field. Both keywords significantly contribute to scientific knowledge.Practical implicationsThe gaps in this study will serve as a reference point for researchers conducting future studies in this field. Additionally, the result of this analysis offers a roadmap for higher education to enhance graduate employability by embedding necessary skills into them.Originality/valueThere has not been a bibliometric analysis concerning employability skills among Work-ready professionals in the existing literature; hence, this article is innovative. This study is the first attempt at integrating the concept. The study also gives an overview of potential directions for future research in this discipline.
Why and when perceived organizational exploitation inhibits frontline hotel employees’ service performance: a social exchange approach
Authors: Fan Yurong , Huang Qixing , Wu Long-Zeng , Ye Yijiao , Zhou Yuan , Miao Chunchun 
Published: April 2024

Purpose
By investigating trust in the organization as a mediator and traditionality as a moderator, this study aims to examine the effect perceived organizational exploitation poses on frontline hotel employees’ service performance.

Design/methodology/approach
A three-wave survey that targets 219 supervisor–subordinate dyads from four Chinese hotels was conducted to test the hypotheses. The authors used SPSS 20.0 and AMOS 21.0 to analyze the data and verify the theoretical model.

Findings
This study found that perceived organizational exploitation exerts a destructive impact on frontline hotel employees’ service performance. Trust in the organization is a full mediator of the link connecting perceived organizational exploitation to service performance. Furthermore, traditionality weakens perceived organizational exploitation’s impact on trust in the organization and subsequent service performance.

Practical implications
The authors’ findings remind hotels to cease exploiting their employees to avoid compromising service performance. Hotels should also endeavor to instill trust among employees toward the hotel and allocate more attention to employees with lower levels of traditionality.

Originality/value
First, to the best of the authors’ knowledge, this study is among the first to explore the impact of perceived organizational exploitation on frontline hotel employees’ service performance. Second, this study reveals a novel mechanism underlying the connection between perceived organizational exploitation and service performance. Finally, this study identifies frontline hotel employees’ traditionality as a vital moderator that mitigates the negative relationships among perceived organizational exploitation, trust in the organization and service performance.
Customer attributions for LGBT-friendly branding hotels and skepticism
Authors: Ro Heejung , Kang Juhee 
Published: April 2024

Purpose
This paper aims to examine the relationships between motives, skepticism and brands evaluations in the LGBT-friendly branding hotels context.

Design/methodology/approach
An online survey is created and 278 LGBT participants are recruited through a consumer panels firm. The research model is tested through structural equation modeling.

Findings
Values-, stakeholder- and strategic-driven motives are negatively related to skepticism, while egoistic-driven motive is positively related to skepticism. Also, sexual orientation openness moderates the relationship between stakeholder-driven motives and skepticism. Finally, skepticism is negatively related to brands evaluations.

Research limitations/implications
The research findings are limited to the LGBT-friendly hotels. However, this research contributes to the CSR and LGBT consumer research by examining the relationships between the four motives and skepticism considering LGBT customers’ sexual orientation openness level.

Practical implications
Hotels should devote greater efforts to communicating that their LGBT-friendly branding efforts are genuine by acknowledging both the social benefits and the business interests.

Social implications
As more and more hotels promote themselves as LGBT-friendly brands, a key challenge is reducing skepticism by appropriately conveying their motives. This research sheds light on this critical issue.

Originality/value
Although existent research on LGBT-friendliness has established its importance; there is a lack of understanding as to how customers perceive LGBT-friendly branding hotels. This research examines the four motives of hotels presenting themselves as being LGBT-friendly and their relationships to skepticism.
Retaining Generation Z employees in the hotel industry: a time-lag study
Authors: Zhou Xiaoman , Chi Christina Geng-Qing , Wen Biyan 
Published: April 2024

Purpose
Generation Z (Gen Z) is entering the hotel workforce and will soon become the dominant group. This has called for a better understanding of this workforce’s attitudes and perceptions towards working in the hotel industry. This study aims to examine the effect of organizational socialization on the retention of Chinese Gen Z employees, the mediating role of person–environment fit (P-E fit) and the moderating effect of career commitment.

Design/methodology/approach
Time-lagged data were collected from 426 Gen Z new employees from 20 upscale hotels at two different times (2 weeks and 12 weeks after the employees entered the hotel). Confirmatory factor analysis, structural equation modeling, bootstrapping analysis and moderated hierarchical regression analyses were used for data analysis.

Findings
Organizational socialization positively affects employee retention via person–environment fit. Moreover, career commitment positively moderates the relationship between person–environment fit and employee retention.

Practical implications
Hotels must view organizational socialization as a long-term investment in Gen Z talent management by offering effective training through diverse methods, creating a collaborative environment and helping them develop career plans to enhance their career commitment.

Originality/value
This study unpacks the four dimensions of organizational socialization and investigates their differential effects on Gen Z employees’ retention through P-E fit. The moderating role of career commitment is also examined. This study contributes to the growing body of hospitality human resources management research on this new generation of workforce in China.
Contact localization from soft tactile array sensor using tactile image
Authors: Tu Baoxu , Zhang Yuanfei , Min Kang , Ni Fenglei , Jin Minghe 
Published: April 2024

Purpose
This paper aims to estimate contact location from sparse and high-dimensional soft tactile array sensor data using the tactile image. The authors used three feature extraction methods: handcrafted features, convolutional features and autoencoder features. Subsequently, these features were mapped to contact locations through a contact location regression network. Finally, the network performance was evaluated using spherical fittings of three different radii to further determine the optimal feature extraction method.

Design/methodology/approach
This paper aims to estimate contact location from sparse and high-dimensional soft tactile array sensor data using the tactile image.

Findings
This research indicates that data collected by probes can be used for contact localization. Introducing a batch normalization layer after the feature extraction stage significantly enhances the model’s generalization performance. Through qualitative and quantitative analyses, the authors conclude that convolutional methods can more accurately estimate contact locations.

Originality/value
The paper provides both qualitative and quantitative analyses of the performance of three contact localization methods across different datasets. To address the challenge of obtaining accurate contact locations in quantitative analysis, an indirect measurement metric is proposed.
Simplified model to study the kinematics of manipulators with parallelogram linkages
Authors: Malla Omar , Shanmugavel Madhavan 
Published: April 2024

Purpose
Parallelogram linkages are used to increase the stiffness of manipulators and allow precise control of end-effectors. They help maintain the orientation of connected links when the manipulator changes its position. They are implemented in many palletizing robots connected with binary, ternary and quaternary links through both active and passive joints. This limits the motion of some joints and hence results in relative and negative joint angles when assigning coordinate axes. This study aims to provide a simplified accurate model for manipulators built with parllelogram linkages to ease the kinematics calculations.

Design/methodology/approach
This study introduces a simplified model, replacing each parallelogram linkage with a single (binary) link with an active and a passive joint at the ends. This replacement facilitates countering motion while preserving subsequent link orientations. Validation of kinematics is performed on palletizing manipulators from five different OEMs. The validation of Dobot Magician and ABB IRB1410 was carried out in real time and in their control software. Other robots from ABB, Yaskawa, Kuka and Fanuc were validated using control environments and simulators.

Findings
The proposed model enables the straightforward derivation of forward kinematics and transforms hybrid robots into equivalent serial-link robots. The model demonstrates high accuracy streamlining the derivation of kinematics.

Originality/value
The proposed model facilitates the use of classical methods like the Denavit–Hartenberg procedure with ease. It not only simplifies kinematics derivation but it also helps in robot control and motion planning within the workspace. The approach can also be implemented to simplify the parallelogram linkages of robots with higher degrees of freedom such as the IRB1410.
Understanding public sentiments and misbeliefs about Sustainable Development Goals: a sentiment and topic modeling analysis
Authors: Verma Abhinav , Nayak Jogendra Kumar 
Published: April 2024

PurposeMisinformation surrounding the Sustainable Development Goals (SDGs) has contributed to the formation of misbeliefs among the public. The purpose of this paper is to investigate public sentiment and misbeliefs about the SDGs on the YouTube platform.Design/methodology/approachThe authors extracted 8,016 comments from YouTube videos associated with SDGs. The authors used a pre-trained Python library NRC lexicon for sentiment and emotion analysis, and to extract latent topics, the authors used BERTopic for topic modeling.FindingsThe authors found eight emotions, with negativity outweighing positivity, in the comment section. In addition, the authors identified the top 20 topics discussing various SDGs and SDG-related misbeliefs.Practical implicationsThe authors reported topics related to public misbeliefs about SDGs and associated keywords. These keywords can be used to formulate social media content moderation strategies to screen out content that creates these misbeliefs. The result of hierarchical clustering can be used to devise and optimize response strategies by governments and policymakers to counter public misbeliefs.Originality/valueThis study represents an initial endeavor to gain a deeper understanding of the public’s misbeliefs regarding SDGs. The authors identified novel misbeliefs about SDGs that previous literature has not studied. Furthermore, the authors introduce an algorithm BERTopic for topic modeling that leverages transformer architecture for context-aware topic modeling.
Air leaks fault detection in maintenance using machine learning
Authors: Barakat Neveen , Hajeir Liana , Alattal Sarah , Hussein Zain , Awad Mahmoud 
Published: May 2024

PurposeThe objective of this paper is to develop a condition-based maintenance (CBM) scheme for pneumatic cylinders. The CBM scheme will detect two common types of air leaking failure modes and identify the leaky/faulty cylinder. The successful implementation of the proposed scheme will reduce energy consumption, scrap and rework, and time to repair.Design/methodology/approachEffective implementation of maintenance is important to reduce operation cost, improve productivity and enhance quality performance at the same time. Condition-based monitoring is an effective maintenance scheme where maintenance is triggered based on the condition of the equipment monitored either real time or at certain intervals. Pneumatic air systems are commonly used in many industries for packaging, sorting and powering air tools among others. A common failure mode of pneumatic cylinders is air leaks which is difficult to detect for complex systems with many connections. The proposed method consists of monitoring the stroke speed profile of the piston inside the pneumatic cylinder using hall effect sensors. Statistical features are extracted from the speed profiles and used to develop a fault detection machine learning model. The proposed method is demonstrated using a real-life case of tea packaging machines.FindingsBased on the limited data collected, the ensemble machine learning algorithm resulted in 88.4% accuracy. The algorithm can detect failures as soon as they occur based on majority vote rule of three machine learning models.Practical implicationsEarly air leak detection will improve quality of packaged tea bags and provide annual savings due to time to repair and energy waste reduction. The average annual estimated savings due to the implementation of the new CBM method is $229,200 with a payback period of less than two years.Originality/valueTo the best of the authors’ knowledge, this paper is the first in terms of proposing a CBM for pneumatic systems air leaks using piston speed. Majority, if not all, current detection methods rely on expensive equipment such as infrared or ultrasonic sensors. This paper also contributes to the research gap of economic justification of using CBM.
A validation study of the Bolton Forgiveness Scale (BFS-15) in India
Authors: Mehta Palav , Vyas Mahimna , Shah Nirja 
Published: April 2024

Purpose
This study aims to validate the Bolton Forgiveness Scale (BFS) created by Amanze and Carson (2019) for the Indian population.

Design/methodology/approach
The data for the validation of the BFS was collected (Total N = 813) in two phases (Phase-I, N1 = 613 and Phase-II, N2 = 200) through online surveys. SPSS 26 and AMOS were used to establish the psychometric properties of the scale through internal consistency and confirmatory factor analysis.

Findings
The results indicated the validation of the BFS in the Indian context, with a high internal consistency (a = 0.847). Confirmatory factor analysis validated the factor structure and items, along with face validity.

Research limitations/implications
This study offers comprehensive suggestions on the approaches to forgiveness, addresses biases, advocates for qualitative exploration and emphasizes rigour for the future research on forgiveness.

Originality/value
The present study validates the BFS for future use for the Indian population. The authors offer comprehensive suggestions on the approaches to forgiveness, address biases, advocate for qualitative exploration and emphasize rigour for future research on forgiveness.
The role of cultural factors in green supply chain management practices: a conceptual framework and an empirical investigation
Authors: Iddik Sadia 
Published: April 2024

Purpose
The purpose of this study is to contribute to the debate on the impact of organizational culture and national culture on green supply chain management (GSCM) adoption by empirically testing the developed framework, and ultimately pave the way toward potential areas for future research.

Design/methodology/approach
Using survey data from a sample of Moroccan manufacturing firms, 130 responses were collected and analyzed using SPSS 25 and Smart PLS v 3.3.3 software. The paper used a convenience sample, as it is required by the quantitative method, which legitimate making generalization under certain conditions.

Findings
The research results indicated that the national culture does not influence the GSCM implementation. The results contradict a number of prior works. As for the second direct effect measured postulated that organizational culture has a direct and significant impact on the GSCM. The results indicate that adhocracy culture, clan culture and hierarchical culture have a positive impact on the implementation of GSCM initiatives. To assess the impact of ownership type on GSCM, we underlined the difference between local and foreign firms. In fact, as argued, the foreign firms are more implementing GSCM initiatives than local firms do. Based on the arguments advanced on prior literature, the firm size does, as expected, exert significant control over the adoption of GSCM initiatives.

Research limitations/implications
The paper here is a starting point to understand how environmental sustainability and culture are interlinked; further research might contribute to this topic by empirically testing the model in similar or different contexts, using different cultural frameworks.

Practical implications
The practical implications for the paper are related to the necessity of adopting adequate organizational culture to build responsible behaviors for GSCM adoption by Moroccan firms. Recognizing the powerful role of organizational culture as a crucial factor responsible for GSCM’s success beyond the well-defined corporate strategies, including market presence and technological advantages, etc.

Social implications
This paper contributes to the establishment of codependent links between sociology and management fields as it helps to update the social theories present in the operations management area.

Originality/value
To the best of the author’s knowledge, few works have pursued to review and bridge cultural theories with the GSCM implementation.
Adaptive iterative learning control of soft robot for beating heart tracking
Authors: Wang Yong , Liu Yuting , Xu Fan 
Published: April 2024

Purpose
Soft robots are known for their excellent safe interaction ability and promising in surgical applications for their lower risks of damaging the surrounding organs when operating than their rigid counterparts. To explore the potential of soft robots in cardiac surgery, this paper aims to propose an adaptive iterative learning controller for tracking the irregular motion of the beating heart.

Design/methodology/approach
In continuous beating heart surgery, providing a relatively stable operating environment for the operator is crucial. It is highly necessary to use position-tracking technology to keep the target and the surgical manipulator as static as possible. To address the position tracking and control challenges associated with dynamic targets, with a focus on tracking the motion of the heart, control design work has been carried out. Considering the lag error introduced by the material properties of the soft surgical robotic arm and system delays, a controller design incorporating iterative learning control with parameter estimation was used for position control. The stability of the controller was analyzed and proven through the construction of a Lyapunov function, taking into account the unique characteristics of the soft robotic system.

Findings
The tracking performance of both the proportional-derivative (PD) position controller and the adaptive iterative learning controller are conducted on the simulated heart platform. The results of these two methods are compared and analyzed. The designed adaptive iterative learning control algorithm for position control at the end effector of the soft robotic system has demonstrated improved control precision and stability compared with traditional PD controllers. It exhibits effective compensation for periodic lag caused by system delays and material characteristics.

Originality/value
Tracking the beating heart, which undergoes quasi-periodic and complex motion with varying accelerations, poses a significant challenge even for rigid mechanical arms that can be precisely controlled and makes tracking targets located at the surface of the heart with the soft robot fraught with considerable difficulties. This paper originally proposes an adaptive interactive learning control algorithm to cope with the dynamic object tracking problem. The algorithm has theoretically proved its convergence and experimentally validated its performance at the cable-driven soft robot test bed.
Study on intelligent assembly process planning and execution system based on digital twin
Authors: Wu Shiqing , Wang Jiahai , Jiang Haibin , Xue Weiye 
Published: April 2024

Purpose
The purpose of this study is to explore a new assembly process planning and execution mode to realize rapid response, reduce the labor intensity of assembly workers and improve the assembly efficiency and quality.

Design/methodology/approach
Based on the related concepts of digital twin, this paper studies the product assembly planning in digital space, the process execution in physical space and the interaction between digital space and physical space. The assembly process planning is simulated and verified in the digital space to generate three-dimensional visual assembly process specification documents, the implementation of the assembly process specification documents in the physical space is monitored and feed back to revise the assembly process and improve the assembly quality.

Findings
Digital twin technology enhances the quality and efficiency of assembly process planning and execution system.

Originality/value
It provides a new perspective for assembly process planning and execution, the architecture, connections and data acquisition approaches of the digital twin-driven framework are proposed in this paper, which is of important theoretical values. What is more, a smart assembly workbench is developed, the specific image classification algorithms are presented in detail too, which is of some industrial application values.