December 2024
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74 Reads
Climate Services
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December 2024
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74 Reads
Climate Services
October 2024
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7 Reads
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7 Citations
Journal of Innovation & Knowledge
September 2024
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24 Reads
Environmental Science and Pollution Research
July 2024
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23 Reads
Energy
May 2024
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35 Reads
Journal of Environmental Studies and Sciences
Zero-waste products are items that are designed to minimize waste generation and environmental impact throughout their lifecycle. These products aim to reduce or eliminate the use of disposable materials, promote reuse and recycling, and encourage sustainable practices. The assessment of these products has been investigated from different perspectives. However, the factors that impact customers’ satisfaction are rarely investigated; specifically, the use of online customers’ reviews to discover satisfaction dimensions is not explored in previous studies. This study aims to find what factors impact customers’ satisfaction with zero-waste products using a new methodology. The method is developed using text mining and multi-criteria decision-making (MCDM) techniques. Latent Dirichlet Allocation (LDA) is used to discover the satisfaction dimensions from the 10,342 online customers’ reviews collected from Amazon.com. Using LDA, nine satisfaction dimensions (product effectiveness, environmental impact, convenience and usability, packaging and presentation, quality and durability, cost-effectiveness, health and safety, product innovation, and sustainable packaging) were discovered from textual reviews. This study then uses the Decision-Making Trial and Evaluation Laboratory (DEMATEL) to analyze cause-and-effect relationships among the discovered factors from customers’ perspectives. The results of analyzing cause-and-effect relationships showed that product effectiveness, environmental impact, product innovation, cost-effectiveness, and health and safety have the highest impacts on customer satisfaction. This study found that product innovation and environmental impact are the significant factors influencing the effectiveness of zero-waste products.
March 2024
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84 Reads
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12 Citations
Ageing Research Reviews
February 2024
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36 Reads
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3 Citations
International Journal of Fuzzy Systems
Parkinson’s disease (PD) is a progressive neurodegenerative illness triggered by decreased dopamine secretion. Fuzzy logic has gained substantial attention in PD diagnosis research. PD detection using fuzzy logic has presented more precise outcomes as compared with common machine learning approaches. In this research, a hybrid method combining supervised learning, unsupervised learning and feature selection techniques is developed. In a type-1 fuzzy system, the membership functions used for the fuzzification of the crisp inputs are mapped to single numbers. However, in a type-2 fuzzy system, these numbers are represented as intervals, adding an extra dimension to the definition of the membership function. The first step of the proposed method involves clustering the data using the Expectation–Maximization (EM) technique. The performance of EM clustering is performed using the Davies–Bouldin index. Subsequently, feature selection is performed using the backward stepwise regression. To predict the UPDRS, Type-2 Sugeno fuzzy inference system (T2SFIS) is implemented on the clusters generated from the previous steps. The Parkinson's telemonitoring dataset is used in this study for method evaluation. Using the EM algorithm, the PD dataset was clustered into 13 segments, and the most important features for accurate UPDRS prediction were chosen in each segment using backward stepwise regression. The hybrid method was evaluated using R-squared (R2) and RMSE. The evaluation results showed that the combination of EM, backward stepwise regression, and type-2 Sugeno FIS obtained the best accuracy in predicting Motor-UPDRS and Total-UPDRS.
February 2024
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90 Reads
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18 Citations
December 2023
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55 Reads
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2 Citations
Heliyon
Getting employees to share their creative ideas has long been recognized as a vital source of organizational effectiveness. This research uses the conservation of resources theory to investigate how employee's creative idea sharing is affected by abusive supervision. Data for this research was collected from 209 employees and their immediate supervisors of generic nurses and medical dispensers of Southern Punjab public sector hospitals working under the Ministry of national health services regulation and Coordination. Data were then analyzed with the AMOS software package for simple regression and moderated mediation. This study found that with the increase in abusive supervision, employees develop cheating behavior, diminishing probability of sharing their creative ideas with coworkers. Along these lines, organizational justice moderates this relationship and attenuates the negative indirect effect of abusive supervision on creative idea sharing. The researchers recommended that organizations should develop training programs or coaching sessions for leaders to make them equip with essential interpersonal skills that can eradicate abusive supervision. Research implications, limitations, and future research directions are also discussed.
November 2023
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96 Reads
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21 Citations
... Moreover, it was argued by Abdelmotaleb et al. [60] that CSR perceptions could have a favourable influence at work, which, in turn, leads to increased participation in the creative process, resulting in employees displaying CB. Recently, Ahmad et al. [61] found that CSR can boost employee creativity in the hospitality industry. ...
October 2024
Journal of Innovation & Knowledge
... Compared to other databases such as Scopus, PubMed, and Medline, WoSCC is frequently utilized in bibliometric studies due to its reliability and extensive citation-tracking capabilities (Yeung 2019;Birkle et al. 2020;Gusenbauer 2024;Daugherty et al. 2022). Previous studies have underscored the effectiveness of employing bibliometric analysis using the WoSCC database (Wang and Maniruzzaman 2022;Abumalloh et al. 2024). In this study, we leveraged this resource to retrieve pertinent literature published between January 1, 2009, and December 31, 2023. ...
March 2024
Ageing Research Reviews
... Type-2 fuzzy systems are frequently used to predict PD. Fuzzy logic shows greater precision in PD detection than common ML approaches [39]. Hybrid methods combine supervised learning, unsupervised learning, and feature selection methods. ...
February 2024
International Journal of Fuzzy Systems
... Additionally, resistance to change and limited leadership commitment were identified as internal organizational barriers, emphasizing the need for cultural transformation and capacitybuilding initiatives to overcome these challenges. These results offer actionable insights for policymakers, industrial park administrators, and businesses to design collaborative, resource-efficient, and stakeholder-driven strategies, aligning with global sustainability frameworks such as the United Nations Sustainable Development Goals(Ahmad et al., 2024).6.1 SUGGESTIONS 1. Policymakers should prioritize creating clear, supportive regulations and financial incentives to encourage the adoption of sustainable engineering practices. Tailored policies addressing regional resource availability and infrastructure disparities are essential to ensuring equitable sustainability progress across all industrial parks; 2. Industries should invest in capacity-building programs to enhance technical expertise and leadership commitment to sustainability. ...
February 2024
... (Genedy et al, 2024:5) [23] Moreover, a large number of researchers agreed that organizational justice is essential in understanding the individual's experiences under stressful circumstances and poor leadership style, because it can greatly affect job satisfaction and employees' behaviors and reactions to stress in the workplace. (Batool et al, 2024:2) [8] Organizational justice is also an introduction to enhancing the quality of relationships and transforming negative situations into positive ones. (Parka & Kim, 2023:3) [45] Herzberg's motivation theory (2003) assumes that organizational factors are related to job satisfaction. ...
December 2023
Heliyon
... Across these domains, machine learning and natural language processing are widely adopted approaches in exploring user experience with mobile applications. The dominant technique for identifying dimensions affecting user satisfaction and experience is topic modeling [4,[7][8][9][10][11]13,14], which uncovers prevailing topics recognized as (dis)satisfaction cues. Authors also use sentiment analysis to detect the polarity of expressions-whether the author writes positively or negatively about their user experience with the mobile application [6,7,12] or neural networks for evaluating the relationships between identified dimensions and user experience [14]. ...
November 2023
Heliyon
... Studies by Ahmad, et al. [27] and Yuxiang, et al. [28] indicate the importance of emotional and cognitive factors in shaping sustainable actions; yet, the mechanisms through which social media-driven environmental motivation and sustainability-driven customer happiness influence pro-environmental behaviors remain insufficiently studied. Furthermore, personal attributes such as gratitude, which have been shown to significantly amplify pro-social and pro-environmental behaviors [29], are rarely examined in the context of food waste. By introducing gratitude towards food waste initiatives as a moderating variable, this study enriches the literature and demonstrates how personal traits shape consumer receptiveness to sustainability messages, advancing our understanding of how to design impactful communication strategies. ...
November 2023
... The current research argues that a strong green intellectual capital (GIC) can have a crucial role in implementation of BCT in SC which can further influence green manufacturing. GIC includes three aspects which are green human capital (GHC), green relational capital (GRC), and green structural capital (Yusliza et al. 2020;Akram et al. 2023). Starting from GHC which is the first aspect of GIC, it is argued that strong GHC possesses employees with the necessary expertise and abilities, provides an understanding of the user market, and greater capacity to recognize and utilize technological advancement (Mubarik et al. 2018). ...
September 2023
Environmental Science and Pollution Research
... Influencers who align their recommendations with the preferences of their audience gain significant numbers of satisfied followers (Nilashi et al. 2023). Regular engagement with influencers may ultimately culminate in affirmative behaviors that impact followers' decisions to buy certain products. ...
July 2023
Journal of Retailing and Consumer Services
... The presented models perform well in all experiments, have low execution times, and are suitable for noisy and imbalanced multi-class classification tasks like intrusion detection. Nilashi et al. [16] suggested a novel approach. Their work employed a bagged tree technique in conjunction with the Learning Vector Quantization (LVQ) technique to enhance the accuracy of EEG classification while simultaneously improving the time complexity. ...
April 2023
Heliyon