bluuebunny/crossref_metadata_2025_split huggingface dataset:
Behavioral determinants of investment decisions: evidence from Indian retail equity investors in the wake of COVID-19 induced financial risks
Authors: Hans Arjun , Choudhary Farah S. , Sudan Tapas 
Published: September 2024

Purpose
The study aims to identify and understand the underlying behavioral tendencies and motivations influencing investor sentiments and examines the relationship between these underlying factors and investment decisions during the COVID-19-induced financial risks.

Design/methodology/approach
The study uses the primary data and information collected from 300 Indian retail equity investors using a nonprobability sampling technique, specifically purposive and snowball sampling. This research uses the insights from Phuoc Luong and Thi Thu Ha (2011) and Shefrin (2002) to delineate behavioral factors influencing investment decisions. Structural equation modeling estimates the causal relationship between underlying behavioral factors and investment decisions during the COVID-19-induced financial risks.

Findings
The study establishes that the “Regret Aversion,” “Gambler’s Fallacy” and “Greed” significantly influence investment decisions, and provide a comprehensive understanding of how psychological motivations shape investor behavior. Notably, “Mental Accounting” and “Conservatism” exhibit insignificance, possibly influenced by the unique socioeconomic context of the pandemic. The research contributes to 35% of variance understanding and prompts the researchers and policymakers to tailor investment strategies aligned to these behavioral tendencies.

Research limitations/implications
The findings hold policy implications for investors and policymakers and provide tailored recommendations including investor education programs and regulatory measures to ensure a resilient and informed investment community in the context of India's evolving financial landscapes.

Originality/value
Theoretically, behavior tendencies and motivations have been strongly linked to investment decisions in the stock market. Yet, empirical evidence on this relationship is limited in developing countries where investors focus on risk management. To the best of the authors’ knowledge, this study is among the first to document the influence of underlying behavioral tendencies and motivation factors on investment decisions regarding retail equity in a developing country.
Digital integration capability asymmetry and buyer product innovation: the contingent roles of environmental dynamism and innovative climate
Authors: Xiong Sichu , Paulraj Antony , Dai Jing , Irawan Chandra Ade 
Published: September 2024

PurposeFirms are increasingly digitalizing their business processes and expanding them into digital platforms, which are believed to generate digital and relational resources that can facilitate and deliver innovations for firms. Instead of focusing on the extent of digital integration capability (DI), this paper seeks to empirically evaluate whether the DI asymmetry between the buyer and supplier firms influences bilateral information sharing and the buyer’s product innovation. We also examine the moderating effects of firms’ external (environmental dynamism) and internal (innovative climate) environments on these relationships.Design/methodology/approachPrimary and secondary archival data on 180 buyer-supplier Chinese dyadic relationships were collected and analyzed using multiple linear regression models. Additionally, the Process macro was used to shed a nuanced light on the moderation effects of environmental dynamism and innovative climate.FindingsThe results show that DI asymmetry negatively impacts buyer firms’ product innovation through decreased information sharing. Environmental dynamism weakens the negative relationship between DI asymmetry and information sharing. Meanwhile, the innovative climate negatively moderates the relationship between information sharing and product innovation.Originality/valueThis study adds knowledge to the literature regarding the dark side of “one-sided digitalization.” By exploring the influences of unbalanced DI in buyer-supplier relationships, this study yields essential theoretical and managerial implications for product innovation success in a digital era.
Online sustainability education: purpose, process and implementation for transformative universities
Authors: Hakkarainen Viola , King Jordan , Brundiers Katja , Redman Aaron , Anderson Christopher B. , Goodall Celina Natalia , Pate Amy , Raymond Christopher M. 
Published: September 2024

Purpose
Universities strategically organize themselves around sustainability, including transformative goals in teaching and learning. Simultaneously, the role of online education has become more prominent. This study aims to better understand the purpose and process of creating online sustainability education (OSE) and to identify challenges and opportunities for implementing these courses and programs to achieve universities’ broader transformative sustainability goals.

Design/methodology/approach
This study uses a multiple case study design to research three universities in diverse geographical and institutional contexts (Finland, the USA and Colombia). Qualitative data was collected by interviewing program-related experts (n = 31) and reviews of universities’ strategic documents.

Findings
The findings suggest that despite important advances, further attention is merited regarding aligning the purpose of OSE with student learning outcomes, clarifying the values underlying the process of online program/course creation and developing transformative and process-oriented approaches and pedagogies to implement OSE. The authors also highlight emerging challenges and opportunities in online environments for sustainability education in different institutional contexts, including reaping the benefits of multilocality and diverse student experiences regarding sustainability issues.

Originality/value
There is a paucity of studies on university-level sustainability education in relation to online environments. This research expands on the existing literature by exploring three different geographical and institutional contexts and shedding light on the relationship between the practical implementation of OSE and universities’ broader sustainability goals.
Personalized and adaptive e-learning systems for semantic Web: a systematic review and roadmap
Authors: Iqbal Muddesar , Sarwar Sohail , Safyan Muhammad , Nasralla Moustafa 
Published: September 2024

Purpose
The purpose of this study is to present a systematic and comprehensive review of personalized, adaptive and semantic e-learning systems.

Design/methodology/approach
Preferred reporting items of systematic reviews and meta-analyses guidelines have been used for a thorough insight into associated aspects of e-learning that complement the e-learning pedagogies and processes. The aspects of e-learning systems have been reviewed comprehensively such as personalization and adaptivity, e-learning and semantics, learner profiling and learner categorization, which are handy in intelligent content recommendations for learners.

Findings
The adoption of semantic Web based technologies would complement the learner’s performance in terms of learning outcomes.

Research limitations/implications
The evaluation of the proposed framework depends upon the yearly batch of learners and recording is a cumbersome/tedious process.

Social implications
E-Learning systems may have diverse and positive impact on society including democratized learning and inclusivity regardless of socio-economic or geographic status.

Originality/value
A preliminary framework of an ontology-based e-learning system has been proposed at a modular level of granularity for implementation, along with evaluation metrics followed by a future roadmap.
Role of big data analytics and information processing capabilities in enhancing transparency and accountability in e-procurement applications
Authors: Alnuaimi Nasser Tuwali , CHatha Kamran Ali , Abdallah Salam 
Published: September 2024

Purpose
Considering information processing theory, this study aims to examine how big data analytics (BDA) mediates the influence of e-procurement coordination (EPC) and e-procurement transactional (EPT) applications on transparency and accountability (TA) in the procurement processes of firms within the United Arab Emirates' private sector. Furthermore, it investigates the moderating role of information processing capabilities (IPCs) in the relationships among EPC, EPT and BDA to clarify their collective impact on enhancing TA and procurement performance.

Design/methodology/approach
Data were collected from procurement and information technology professionals in the UAE’s private sector through a Web-based survey. Established scales were used to assess e-procurement, BDA, TA, procurement performance and IPCs. Data were analyzed using partial least squares structural equation modeling.

Findings
Integrating e-procurement with BDA demonstrates the potential to improve TA and procurement performance in the UAE’s private sector. BDA is positively associated with EPC and EPT applications use, contributing to increased procurement TA and enhancing overall procurement performance.

Practical implications
Organizations can enhance procurement TA by adopting e-procurement and BDA technologies.

Originality/value
This study identifies the mediating role of BDA in the relationship between e-procurement and procurement TA. In addition, it investigates the moderating role of IPCs in the relationship between e-procurement and BDA.
Risk disclosure, earnings smoothing and firm perceived risk
Authors: Monjed Hend , Ibrahim Salma , Jørgensen Bjørn N. 
Published: September 2024

Purpose
This paper aims to examine the association between perceived firm risk and two reporting mechanisms: risk disclosure and earnings smoothing in the UK context.

Design/methodology/approach
This study juxtaposes three competing views, the “null”, the “divergence” and the “convergence” hypotheses, and empirically investigates whether risk disclosure and earnings smoothing affect firm perceived risk for a sample of large UK firms with rich and poor information environments. This study also uses the global financial crisis as an external shock on overall risk in the economy to investigate when and how managers use these two reporting mechanisms to shape the firm perceived risk.

Findings
This paper documents that risk disclosures have no significant effect on investors’ risk perceptions, consistent with risk disclosures containing boilerplate and generic statements about firm risk. This paper also finds that earnings smoothing reduces investors’ risk perceptions, reflecting investors’ interpretations about future firm performance. Additional tests reveal that earnings smoothing is not associated with perceived firm risk for firms with rich information environments and expanded risk disclosures. Furthermore, reporting smooth earnings decreases perceived firm risk following the global financial crisis. These findings are robust to alternative specifications and measures of earnings smoothing as well as post-filing perceived firm risk.

Research limitations/implications
This study does not distinguish between the garbling role and the informational role of earnings smoothing. The risk disclosure measurement used in this study, developed based on UK annual reports, may limit the generalizability of findings to other countries.

Practical implications
The findings suggest that managers should revise their risk disclosure strategies to provide in-depth details on firm risk. Investors might require information and thorough assessment to evaluate investment risks when firms provide generic risk disclosures and smoothed earnings by consulting sources like financial intermediaries. Regulators should keep an eye on firms reporting boilerplate risk disclosures and on how smoothing earnings impacts the firm perceived risk following economic turmoil, to guide interventions that promote market stability.

Originality/value
The findings provide new insights into when and how managers use their financial reporting discretion to make firms appear less risky and, therefore, influence investors’ risk perceptions.
Exploring how strategic sensitivity and leadership unity of the university influence the innovativeness of faculty
Authors: Khorshid Seddigheh 
Published: September 2024

PurposeThe main objective of this paper is to analyze how leadership unity (LU) within universities affects the innovativeness of faculty, with a focus on the potential moderating role of strategic sensitivity (SS).Design/methodology/approachThe conceptual model of this research shows that SS and LU of the university impact the faculty's innovativeness. Meantime, the moderating effect of SS is assessed. A 49-item questionnaire was administered to 350 respondents who were managers and faculties of the university. The hierarchical regression technique was used for analyzing data and testing hypotheses.FindingsThe findings support both a curvilinear relationship based on a concave upward pattern and a linear relationship between LU in the university and the innovativeness of faculty. In addition, the university's SS positively influences the faculty's innovativeness. SS negatively moderates the curvilinear relationship between LU and faculty's innovativeness, i.e. the U-shaped effect exists only when the level of SS is high.Research limitations/implicationsThe results of this study shed new light on the relationships between LU and SS with innovativeness in the higher education landscape. It underlines the importance of SS as a moderator in the relationship between LU and innovativeness. This study was conducted in a developing country under sanctions with an Eastern culture, Iran. Thus, it is recommended that the conceptual framework of this study be tested in different countries with cultural diversity to generalize its findings.Practical implicationsAdministrators of universities need to recognize that creating unity and cohesion among managers of various levels of the university is crucial. They should also be aware that responses to external changes can lead to new opportunities for the university. Embracing transformation within the organizational strategies of the university will have a significant influence on competition, politics, and internal operations.Originality/valueThis research contributes to the academic discussions on the importance of LU and SS and also the moderation effect of SS in driving and promoting innovativeness in among faculties by providing empirical evidence. The results present valuable insights for scholars, practitioners and policymakers seeking to understand innovativeness among faculties in the higher education setting.
Am I willing to take a mental health day off? Integrating perspectives from self-determination theory and the theory of planned behavior
Authors: Lee Yi-Chih 
Published: September 2024

Purpose
The mental health issues faced by young people can significantly hinder a nation’s development. The purpose of this study is to integrate the Self-Determination Theory and the Theory of Planned Behavior to examine the factors influencing the utilization of mental health days among young individuals.

Design/methodology/approach
An online survey was conducted to collect data from young people.

Findings
The results indicated that more positive attitudes, favorable subjective norms and a stronger sense of perceived behavioral control regarding mental health days are all associated with a higher intention to use them. Young individuals who have used counseling resources are more likely to endorse the use of mental health days. Satisfaction of the three basic psychological needs of autonomy, competence and relatedness has a diminishing effect on both motivation and intention to request mental health days. However, there is a positive relationship between motivation and intention to apply for mental health days. When competence needs are less well satisfied, the motivation and, in turn, the intention to request mental health days are enhanced.

Research limitations/implications
Shifting the leave framework from a disease-centered approach to a psychological leave model focused on mood adjustment can maximize the positive impact of mental health leave.

Originality/value
This study contributes to the theoretical understanding of the relationships between needs and motivation within the framework of self-determination theory. Furthermore, it integrates components from the theory of planned behavior to examine the influence of social pressures and self-efficacy on the intention to use mental health days. Mental health days can be seen as a cry for help from young adults. The utilization of mental health days serves as an effective means of managing one's mental state.
A novel combined control of flexible single-link manipulator based on singularly perturbed theory
Authors: Zhu Qixin , Sun Wenxin , Shen Yehu , Fu Guizhong , Yang Yong , Li Jinbin 
Published: September 2024

Purpose
This study aims to improve the control accuracy and antidisturbance performance of the manipulator with the flexible link, a combined controller, which combines the novel backstepping sliding mode controller based on the extended state observer (ESO) and super-twisting sliding mode controller.

Design/methodology/approach
First, the dynamic of the system is constructed by Lagrange method and assumed mode method, and then the dynamic is decoupled by the singular perturbation theory to obtain the slow-varying subsystem and fast-varying subsystem. For the slow-varying subsystem, the novel backstepping sliding mode controller based on ESO is used to achieve joint tracking. For the fast-varying subsystem, the super-twisting sliding mode controller is used for vibration suppression. At the same time, to suppress chattering, the tanh function is used to replace the sign function in the reaching law.

Findings
The simulation results show that the combined control has better trajectory tracking performance, antiinterference performance and vibration suppression performance than traditional sliding mode control (SMC).

Originality/value
A novel backstepping sliding mode controller based on ESO is designed to guarantee the performance of the tracking trajectory. The new controller improves the converge rate. A super-twisting sliding mode controller, which can stabilize the fast-varying subsystem, is used to suppress the vibration of flexible link.
Effect of sintering temperature on feature resolution and flexural strength of ceramics fabricated through vat photopolymerization additive manufacturing
Authors: Bezek Lindsey , Lee Kwan-Soo 
Published: September 2024

Purpose
Although ceramic additive manufacturing (AM) could be used to fabricate complex, high-resolution parts for diverse, functional applications, one ongoing challenge is optimizing the post-process, particularly sintering, conditions to consistently produce geometrically accurate and mechanically robust parts. This study aims to investigate how sintering temperature affects feature resolution and flexural properties of silica-based parts formed by vat photopolymerization (VPP) AM.

Design/methodology/approach
Test artifacts were designed to evaluate features of different sizes, shapes and orientations, and three-point bend specimens printed in multiple orientations were used to evaluate mechanical properties. Sintering temperatures were varied between 1000°C and 1300°C.

Findings
Deviations from designed dimensions often increased with higher sintering temperatures and/or larger features. Higher sintering temperatures yielded parts with higher strength and lower strain at break. Many features exhibited defects, often dependent on geometry and sintering temperature, highlighting the need for further analysis of debinding and sintering parameters.

Originality/value
To the best of the authors’ knowledge, this is the first time test artifacts have been designed for ceramic VPP. This work also offers insights into the effect of sintering temperature and print orientation on flexural properties. These results provide design guidelines for a particular material, while the methodology outlined for assessing feature resolution and flexural strength is broadly applicable to other ceramics, enabling more predictable part performance when considering the future design and manufacture of complex ceramic parts.
Proton therapy for breast cancer: Reducing toxicity
Authors: Qiao Kailin , Wei Yuchun , Tao Cheng , Zhu Jian , Yuan Shuanghu 
Published: September 2024

AbstractRadiotherapy is a crucial component in the holistic management of breast cancer, with approximately 60% of individuals diagnosed with breast cancer requiring this treatment. As the survival rate of individuals with breast cancer has significantly increased, there is a growing focus on the long‐term well‐being of patients. Proton therapy (PT) is a new and rapidly developing radiotherapy method. In comparison with conventional photon therapy, PT offers the benefits of decreased radiation toxicity and increased dosage in the designated region. This can extend patients' lifespan and enhance their overall well‐being. The present analysis examines the function of PT in diminishing the harmful effects of radiation in cases of breast cancer, while also providing a brief overview of the future potential and obstacles associated with PT for breast cancer.
Machine Learning in Clinical Diagnosis of Head and Neck Cancer
Authors: Black Hollie , Young David , Rogers Alexander , Montgomery Jenny 
Published: September 2024

ABSTRACTObjectiveMachine learning has been effective in other areas of medicine, this study aims to investigate this with regards to HNC and identify which algorithm works best to classify malignant patients.DesignAn observational cohort study.SettingQueen Elizabeth University Hospital.ParticipantsPatients who were referred via the USOC pathway between January 2019 and May 2021.Main Outcome MeasuresPredicting the diagnosis of patients from three categories, benign, potential malignant and malignant, using demographics and symptoms data.ResultsThe classic statistical method of ordinal logistic regression worked best on the data, achieving an AUC of 0.6697 and balanced accuracy of 0.641. The demographic features describing recreational drug use history and living situation were the most important variables alongside the red flag symptom of a neck lump.ConclusionFurther studies should aim to collect larger samples of malignant and pre‐malignant patients to improve the class imbalance and increase the performance of the machine learning models.