How can we use machine learning for characterizing organizational identification - a study using clustering with Picture fuzzy datasets

International Journal of Information Management Data Insights, Journal Year: 2023, Volume and Issue: 3(1), P. 100157 - 100157

Published: Jan. 30, 2023

This work introduces a data-driven approach based on k-means clustering with datasets elicited under Picture fuzzy set (PFS) environment. With the vision, mission, and goals statement as proxy for organizational identity, an actual case study is reported to demonstrate application of proposed approach. Four attributes were introduced describe identification: knowledge, perception, linking, future attributes. Results revealed that out 1,911 members, 56.67% them are considered “proactive citizens”, 32.50% “ambivalent 10.83% “disengaged citizens”. Sensitivity analysis shows robust changes in model parameters. Characteristics types citizens discussed, some managerial insights outlined. Succinctly, this contributes literature by exploring integration PFS characterize extent identification stakeholders when presented new identity – relatively novel organization science.

Language: Английский

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Logistics service failures and recovery strategies: is the response time or the discount amount more important?

Marketing Intelligence & Planning, Journal Year: 2024, Volume and Issue: 42(7), P. 1299 - 1329

Published: June 15, 2024

Purpose Although trade volumes in e-retailing have increased significantly recent years, logistics service failures are inevitable, especially at the delivery stage. Therefore, it is essential to provide customers with effective recovery strategies increase their satisfaction and repurchase intentions. There a lack of empirical evidence on whether response time or discount offered compensation more crucial for customers. this study aims determine high low criticality has greater impact customer levels intentions female male Design/methodology/approach A scenario-based experimental design method been adopted collect data, 697 participants aged 18 58 years reached. The research utilized between-subjects design, incorporating three factors: gender (female vs male), (high low) (7 days: 10% discount, 10 20% 14 30% discount). Six scenarios depicting failure an online retailer were created, factorial univariate ANOVA was conducted test hypotheses. Findings study's results show that terms satisfaction, attach importance case amount criticality. On other hand, give when they experience failure. In criticality, important intentions, while Originality/value demonstrates relative according level guide business managers will implement. It focuses differences low-criticality situations.

Language: Английский

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Artificial Intelligent Applications in Enabled Banking Services: The Next Frontier of Customer Engagement in the Era of ChatGPT

Theoretical Economics Letters, Journal Year: 2023, Volume and Issue: 13(05), P. 1203 - 1223

Published: Jan. 1, 2023

The recent global changes in Information and Communications Technology (ICT), have demonstrated a tremendous range of technological use cases including the Artificial Intelligent (AI) applications (apps) for financial services. In light latest developments generative AI tools such as ChatGPT, this study develops an innovative research model used prediction most significant factors influencing consumers' willingness to accept buy banking apps, under theory Value-based Adoption Model (VAM). authors conducted online survey Greek consumers apps using Structural Equation Modeling (SEM) determine which variables enhance customers' perceived value performing influence on adoption purchase. This found that trust happiness are impacting intention conversational apps. likely outcome is mediating role pay conclusions implications marketing can help institutions augment accuracy audit advisory services, enhancing customer satisfaction engagement increasing bank competitiveness.

Language: Английский

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Technology acceptance and self-enhancement in social media

Multimedia Tools and Applications, Journal Year: 2024, Volume and Issue: 83(31), P. 75483 - 75509

Published: Feb. 17, 2024

Language: Английский

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Envisaging the intention and adoption of electronic health applications among middle-aged and older adults: Evidence from an emerging economy

Digital Health, Journal Year: 2024, Volume and Issue: 10

Published: Jan. 1, 2024

Technology plays a substantial role in our daily lives, and the spread of COVID-19 paves way for use healthcare technologies to manage health comfort homes. Middle-aged older adults face issues require instant advice support. Electronic (EH) applications have emerged facilitate middle-aged receiving support instantly while remaining their The present study empirically evaluates intention adoption electronic with technological attributes perceived compatibility, cost, product value, technology accuracy, privacy motivation among from Malaysia. Moreover, this research examines mediating effect adopt EH between applications. This uses cross-sectional method employs an online survey assemble quantitative data 298 Malaysian adults. It utilizes partial least squares structural equation modelling analysis. analysis reveals that privacy, value significantly influenced apps. Furthermore, shows apps mediates relationship perception personal However, insignificantly instigates adoption. Finally, presents its implications, limitations future directions.

Language: Английский

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