Multilingual Sentiment Analysis for Mobile Gaming: A Comparative Study of Machine Learning and Hybrid Deep Learning Approaches DOI Creative Commons
Erol Kına, Recep O. Ozdag

Published: Dec. 12, 2024

The rapid expansion of the mobile gaming industry has underscored need to understand user sentiment, with social media platforms like X (Twitter) providing key insights. This study applied sentiment analysis English and Turkish tweets, utilizing TEMSAP-CNNLSTM model a hybrid architecture combining Convolutional Neural Networks (CNN) Long Short-Term Memory (LSTM) networks for precise classification complex textual data. model's performance was benchmarked against traditional machine learning methods, including Logistic Regression, Support Vector Machines (SVM), K-Nearest Neighbors (KNN). Results revealed that consistently achieved superior performance, highest Accuracy, Precision, Recall, F1-Score across both datasets. attained 96% accuracy on training datasets 93% 92% test datasets, respectively. These findings highlighted capability in handling data, surpassing approaches while demonstrating robust generalizability languages. offers valuable insights game developers suggests broader applicability other industries requiring accurate multilingual contexts.

Language: Английский

Unleashing the power of cloud adoption and artificial intelligence in optimizing resilience and sustainable manufacturing supply chain in the USA DOI

Aamir Rashid,

Rizwana Rasheed,

Abdul Hafaz Ngah

et al.

Journal of Manufacturing Technology Management, Journal Year: 2024, Volume and Issue: 35(7), P. 1329 - 1353

Published: June 27, 2024

Purpose Recent disruptions have sparked concern about building a resilient and sustainable manufacturing supply chain. While artificial intelligence (AI) strengthens resilience, research is needed to understand how cloud adoption can foster integration, collaboration, adaptation manufacturing. Therefore, this study aimed unleash the power of AI in optimizing resilience performance through collaboration adaptive capabilities at firms. Design/methodology/approach This followed deductive approach employed quantitative method with survey technique collect data from its target population. The used stratified random sampling sample size 1,279 participants working diverse industries across California, Texas New York. Findings investigated companies make their chains more sustainable. findings revealed that integrating enhance adaptability, leading better (hypotheses H1-H7, except H5). Additionally, utilizing helps improve further strengthening sustainability (H8-H11). Interestingly, found internal integration alone does not significantly impact (H5). suggests external factors are critical fostering within chain during disruptions. Originality/value dives into complex world interconnected (formative constructs higher order) influencing chains. Using advanced modeling techniques, it highlights powerful cloud-based integration. Cloud-based unlock significant improvements for manufacturers decision-makers by enabling information processes dynamic capability theory.

Language: Английский

Citations

22

Synergizing TQM, JIT, and Green Supply Chain Practices: Strategic Insights for Enhanced Environmental Performance DOI Creative Commons

Aamir Rashid,

Rizwana Rasheed,

Noor Aina Amirah

et al.

Logistics, Journal Year: 2025, Volume and Issue: 9(1), P. 18 - 18

Published: Jan. 28, 2025

Background: This study examined the role of total quality management, just-in-time, and green supply chain management practices to improve environmental performance. Methods: Data from 207 manufacturing industry respondents a developing economy were tested through quantitative method using PLS-SEM with help SmartPLS validate measurement model. Results: The results show that just-in-time significantly impacts practices. Similarly, affects However, insignificantly environment. Likewise, is insignificant negatively Conclusion: research provides practical insight practitioners for understanding implementing in their networks. These findings support strategic use promote as core skill are also helpful practitioners, policymakers, industrialists. enriches literature chain.

Language: Английский

Citations

2

Integrating environmental and entrepreneurship advocacy into enviropreneurship through green supply chain management, waste management, and green innovation: A study on SMEs of US DOI Creative Commons

Rizwana Rasheed,

Aamir Rashid,

Noor Aina Amirah

et al.

Cleaner Engineering and Technology, Journal Year: 2024, Volume and Issue: 21, P. 100768 - 100768

Published: June 13, 2024

Many entrepreneurs across the US are key players in building a greener economy. Their agility and innovative spirit offer source of potential solutions. This is especially true for small businesses, which can quickly adapt to sustainable practices. Therefore, this research investigated direct indirect (mediating) roles waste management green innovations supply chain enviropreneurship performance, transition from environmental advocacy. study used deductive approach with quantitative method. A survey 835 professionals medium enterprises Structural Equation Modeling technique test specific hypotheses. The findings unveiled positive significant effect exogenous variables on endogenous variables. Besides innovation, mediation was found between relationships entrepreneurship performance. highlights strategies boost entrepreneurial Green practices enhance outcomes, minimize waste, bolster stakeholder relationships, lead cost savings, improve brand reputation regulatory compliance. identifies areas needing improvement supports development. Adhering regulations shows commitment sustainability helps avoid legal issues. By following these recommendations, managers foster future their organizations. presented "enviropreneurship performance" as factor businesses implementing chains It proposes an model that connects providing important insights studies. validated concept by employing Resource-based View testing hypotheses using structural equation modeling, enhanced understanding within developed

Language: Английский

Citations

8

A nexus of multiple integrations and business performance through supply chain agility and supply flexibility: a dynamic capability view DOI

Aamir Rashid,

Rizwana Rasheed,

Abdul Hafaz Ngah

et al.

Journal of Science and Technology Policy Management, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 20, 2024

Purpose Manufacturing capability is a crucial component of every nation’s economy and pharmaceuticals are frequently significant part the manufacturing sector. Pharmaceutical supply chains essential to health-care systems, contributing living quality shorter hospital stays. This study aims examine role multiple integrations on business performance (BP) through chain flexibility (SCF) agility (SCA). Design/methodology/approach Data was collected from 198 professionals in pharmaceutical sector developing Pakistan. The sample based nonprobability purposive sampling approach. A five-point Likert-scale survey used analyzed with PLS-SEM technique using SmartPLS 4. Findings found that process integration (PI) does not affect SCA, whereas relationship measurement positively SCA. SCA impacts BP. In contrast, all significantly influenced BP except for PI. Finally, SCF mediates between Originality/value examined relationships BP, directly indirectly, agility. theory dynamic capabilities has been applied extended increase comprehensiveness findings. economy’s industry examined, producing empirical evidence results.

Language: Английский

Citations

7

Perceived Nepotism and Job Satisfaction: A Moderated Mediated Model of Supervisory Trust, Procedural, and Distributive Injustice DOI

Rizwana Rasheed,

Olivier Roques,

Aamir Rashid

et al.

International Journal of Public Administration, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 20

Published: Feb. 18, 2025

This research provides an in-depth look at perceived nepotism and organization through a quantitative survey that collects data from 434 employees public organizations. The results stated negatively affects employee satisfaction levels. In addition, the moderating effect of supervisory trust indicated helps to mitigate negative impact on job satisfaction. index moderated mediations procedural injustice was found insignificant, whereas distributive significant. study contributed social exchange theory.

Language: Английский

Citations

0

Impact of supplier trust and integrated technology on supply chain resilience for sustainable supply chain in FMCG sector DOI

Aamir Rashid,

Rizwana Rasheed,

Samar Rahi

et al.

Journal of Science and Technology Policy Management, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 26, 2025

Purpose The Fast Moving Consumer Goods (FMCG) sector is a critical component of the global economy, providing consumers with wide range products that are consumed daily. However, this faces vulnerability during disruptions. Therefore, research amid to examine effect supplier trust and integrated technology on supply chain resilience (SCR) for sustainable chains in FMCG sector. Design/methodology/approach Data was collected from 409 respondents United States. hypotheses were tested using Structural Equation Modeling through SmartPLS. study findings found all direct mediating supported. Findings suggest better use enhance capability an organization respond It makes more resilient. Further, SCR brings Similarly, significant mediator relationships between independent dependent variables, highlighting importance resilient chains. Originality/value This contributes literature variables Dynamic Capability View theory, as technologies crucial factors building has several managerial implications, including managers’ need prioritize suppliers facilitate increased information sharing. They should invest sense, forecast be proactive and, eventually, chain.

Language: Английский

Citations

0

Understanding the electric vehicle consumers’ AWE experience and intention to recommend electric vehicles with the moderating effect of trust in sustainable manufacturers DOI
Samar Rahi, Mazuri Abd Ghani, Mahmoud Alghizzawi

et al.

Asia-Pacific Journal of Business Administration, Journal Year: 2025, Volume and Issue: unknown

Published: April 28, 2025

Purpose Though studies have examined the consumer behavior towards adoption of electric vehicles, however, there is lack empirical research work that unveils factors which enrich vehicle consumers’ AWE experience in post-adoption setting. To fill this gap, current study has developed a framework with cognitive and investigates experience. Moreover, moderating effect trust sustainable manufacturers between consumer’s intention to recommend vehicles others. Design/methodology/approach The grounded quantitative approach. Consistent methods, hypotheses are conceptualized then verified through data. Empirical data collected from 237 users using purposive sampling Data estimated structural equation modeling Findings demonstrated jointly anticipated emotions, face consciousness, eco-friendly labels, perceived enjoyment, relative advantage environment benefit explained large variance Rˆ2 75.3% measuring Nevertheless, benefits advantages shown size fˆ2 predicting moderation analysis confirmed positive social circle. Practical implications present investigated unique predictors, hence largely contributes literature. Practically, disclosed benefits, core boost promote attitude consumption. Similarly, recommended enhance This indicates pro-environment market, manufacturer’s credibility does matter products, factor needs policy maker’s attention. Originality/value Prior inspected technology either initial or continuance original as it develops rarely studied relation vehicle. included path recommend, distinguishing past on vehicles.

Language: Английский

Citations

0

Bon appetit! Factors influencing consumers’ repurchase intention at food trucks in Malaysia DOI

Nur Sophia Alyssa Nazri,

Abdul Hafaz Ngah, Samar Rahi

et al.

Journal of Foodservice Business Research, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 25

Published: Nov. 26, 2024

Despite many issues in food truck services, customers still enjoy at trucks. The study aimed to identify factors influencing repurchase intention trucks (FT), while using quality and experience as stimuli, cognitive fluency, hedonic eating value, image mediators organism within the S-O-R framework. Applying a snowball sampling method, data were gathered via an online survey. Out of 324 completed answers, only 307 usable for further analysis. Partial least squares structural equation modeling with SmartPLS 4 was applied analyze data. findings confirmed that value positively influenced consumers' intention. Furthermore, also mediated relationship between provide meaningful information FT providers craft better policy marketing strategy on how enhance among their current customers, which will lead business sustainability. proposed new model fluency mediator, is novel studies where used.

Language: Английский

Citations

3

Impact of Intellectual Capital on the Small and Medium Enterprises’ Innovation Activities in South-West Nigeria DOI

Aderonke Julian Ojo,

Sakar Adegbola Adeyemo

Deleted Journal, Journal Year: 2024, Volume and Issue: 1(4), P. 85 - 101

Published: July 1, 2024

This study examined the Impact of Intellectual Capital on Innovation activities Small and Medium Enterprises (SMEs). The specific objective determined effect human capital product innovation assessed impact structural process innovation. It also relational service population consisted twenty-three thousand, two hundred ninety (23,290) registered SMEs located in South-West Nigeria. sample 393 drawn from using a multi-stage sampling technique. Structured questionnaires were employed to collect data business owners managers selected manufacturing services sectors. analysed linear multiple regression with aid SPSS 24. Findings indicate that all three dimensions intellectual – human, relational- have positive significant SME products, processes, activities. concluded SMES must utilise its improve capacities for innovation, thereby enhancing level competitiveness.

Language: Английский

Citations

0

Multilingual Sentiment Analysis for Mobile Gaming: A Comparative Study of Machine Learning and Hybrid Deep Learning Approaches DOI Creative Commons
Erol Kına, Recep O. Ozdag

Published: Dec. 12, 2024

The rapid expansion of the mobile gaming industry has underscored need to understand user sentiment, with social media platforms like X (Twitter) providing key insights. This study applied sentiment analysis English and Turkish tweets, utilizing TEMSAP-CNNLSTM model a hybrid architecture combining Convolutional Neural Networks (CNN) Long Short-Term Memory (LSTM) networks for precise classification complex textual data. model's performance was benchmarked against traditional machine learning methods, including Logistic Regression, Support Vector Machines (SVM), K-Nearest Neighbors (KNN). Results revealed that consistently achieved superior performance, highest Accuracy, Precision, Recall, F1-Score across both datasets. attained 96% accuracy on training datasets 93% 92% test datasets, respectively. These findings highlighted capability in handling data, surpassing approaches while demonstrating robust generalizability languages. offers valuable insights game developers suggests broader applicability other industries requiring accurate multilingual contexts.

Language: Английский

Citations

0