Open Access
Issue
SHS Web Conf.
Volume 204, 2024
1st International Graduate Conference on Digital Policy and Governance Sustainability (DiGeS-Grace 2024)
Article Number 03011
Number of page(s) 13
Section Smart City and Smart Society
DOI https://doi.org/10.1051/shsconf/202420403011
Published online 25 November 2024
  1. C. Hartono, A. T. Haryanto, and A. Purwanto, ‘Quality of Population Administration Services at Public Service Malls in Ponorogo Regency, East Java Province 2022’, JI@P, vol. 12, no. 1, Jun. 2023, DOI: 10.33061/jp.v12i1.7821. [CrossRef] [Google Scholar]
  2. D. F. Suhermanto, A. Roziqin, I. T. Sihidi, T. Indrawan, and Y. Rahmawati, ‘Formulating Integrated Public Services in Batu City: A Preliminary Study’, J. Gov. Public Policy, vol. 9, no. 2, pp. 82–95, Jun. 2022, DOI: 10.18196/jgpp.v9i2.13482. [CrossRef] [Google Scholar]
  3. Y. Hao, Z. Qiu, Q. Xu, Q. He, X. Fang, and C. Wang, ‘Innovation strategy design of public sports service governance based on cloud computing’, J. Cloud Comput., vol. 12, no. 1, p. 69, May 2023, DOI: 10.1186/s13677-023-00448-0. [CrossRef] [Google Scholar]
  4. R. D. Lestari, R. Sarofah, F. S. Isbandi, S. Setiawan, and Y. Fadli, ‘I NOVASI PUBLIC SERVICE MALL IN SOUTH TANGERANG CITY’, Public J. Manaj. ResourcesMns. Adm. andPubli Services k, vol. 10, no. 1, pp. 44–56, Feb. 2023, DOI: 10.37606/publik.v10i1.471. [Google Scholar]
  5. W. Suwarningsih, A. Heryana, D. Riswantini, E. Nugraheni, and D. Krisnandi, ‘The multi-tenancy queueing system “QuAntri” for public service mall’, Bull. Electr. Eng. Inform., vol. 11, no. 5, pp. 2663–2671, Oct. 2022, DOI: 10.11591/eei.v11i5.4348. [CrossRef] [Google Scholar]
  6. H. Liu, ‘The Influence of Public Service Facilities on Tourists’ Attractiveness in Tourist Destinations from The Perspective of Emotional Cohesion’, Int. J. Educ. Humanit., vol. 7, no. 2, pp. 202–205, Mar. 2023, DOI: 10.54097/ijeh.v7i2.5622. [CrossRef] [Google Scholar]
  7. H. Benaddi, Y. Hannad, E. E. Kettani, and M. Askour, ‘Innovation in Public Services: The Case of Moroccan Government’, Lex Localis - J. Local Self-Gov., vol. 20, no. 4, pp. 989–1010, Nov. 2022, DOI: 10.4335/20.4.989-1010(2022). [CrossRef] [Google Scholar]
  8. M. F. Lazuardi, ‘Policy Innovation of Public Service Malls in Investment Licensing in Batang Regency’, Public Spirit J. Adm. Public, vol. 17, no. 1, p. 88, Aug. 2022, DOI: 10.20961/sp.v17i1.64128. [Google Scholar]
  9. J. Li, N. S. Jaharudin, and Y. Song, ‘Consumption Behavior Prediction Based on Multiobjective Evolutionary Algorithm’, J. Sens., vol. 2022, pp. 1–11, Sep. 2022, DOI: 10.1155/2022/2525740. [Google Scholar]
  10. R. Piarna and F. Fathurohman, ‘Adoption of E-Commerce by Millennial Consumers on MSME Products in Subang City Using the UTAUT In Consumer Model Contex’, J. Teknol. Inf. Dan Ilmu Komput., vol. 7, no. 5, pp. 1021–1028, Oct. 2020, DOI: 10.25126/jtiik.2020712635. [Google Scholar]
  11. C. Chitraranjan and C. Botenne, ‘Association between anticipated affect and behavioral intention: A meta-analysis’, Curr. Psychol., vol. 43, no. 2, pp. 1929–1942, Jan. 2024, DOI: 10.1007/s12144-023-04383-w. [CrossRef] [Google Scholar]
  12. A. S. Jameel, M. A. Karem, and A. S. Alheety, ‘Behavioral Intention and Actual Use of Mobile Learning During the COVID-19 Pandemic in the Higher Education System’, in Proceedings of the 2nd International Conference on Emerging Technologies and Intelligent Systems, vol. 584, M. A. Al-Sharafi, M. Al-Emran, M. N. Al-Kabi, and K. Shaalan, Eds., in Lecture Notes in Networks and Systems, vol. 584., Cham: Springer International Publishing, 2023, pp. 155–167. DOI: 10.1007/978-3-031-25274-7_14. [Google Scholar]
  13. Wibowo and Lina, ‘Behavioral intention analysis on GoApotik application service’, J. Manaj. Business and Entrepreneurship, vol. 7, no. 1, pp. 38–49, Jan. 2023, DOI: 10.24912/jmbk.v7i1.22468. [Google Scholar]
  14. E. Karasmanaki and G. Tsantopoulos, ‘Public attitudes toward the major renewable energy types in the last 5 years: A scoping review of the literature’, in Low Carbon Energy Technologies in Sustainable Energy Systems, Elsevier, 2021, pp. 117–139. DOI: 10.1016/B978-0-12-822897-5.00004-3. [CrossRef] [Google Scholar]
  15. T. Chen, J. Shan, and H. Wen, ‘Literature Review’, in Distributed Attitude Consensus of Multiple Flexible Spacecraft, Singapore: Springer Nature Singapore, 2023, pp. 15–40. DOI: 10.1007/978-981-19-4258-7_2. [CrossRef] [Google Scholar]
  16. F. Y. Gustia and I. Irwansyah, ‘Development of the application of the theory of breach of expectations in various communication contexts: a systematic literature review’, J. Komun. Prof., vol. 6, no. 5, pp. 477–502, Oct. 2022, DOI: 10.25139/jkp.v6i5.4897. [Google Scholar]
  17. J. Taylor and R. Taylor, ‘Working Hard for More Money or Working Hard to Make a Difference? Efficiency Wages, Public Service Motivation, and Effort’, Rev. Public Pers. Adm., vol. 31, no. 1, pp. 67–86, Mar. 2011, DOI: 10.1177/0734371X10394401. [CrossRef] [Google Scholar]
  18. N. Butarbutar, D. Lie, C. Bagenda, E. Hendrayani, and A. Sudirman, ‘Analysis of the Effect of Performance Expectancy, Effort Expectancy, and Lifestyle Compatibility on Behavioral Intention QRIS in Indonesia’, Int. J. Sci. Res. Manag., vol. 10, no. 11, pp. 4203–4211, Nov. 2022, DOI: 10.18535/ijsrm/v10i11.em07. [Google Scholar]
  19. S. Rahi, M. M. Othman Mansour, M. Alghizzawi, and F. M. Alnaser, ‘Integration of UTAUT model in internet banking adoption context: The mediating role of performance expectancy and effort expectancy’, J. Res. Interact. Mark., vol. 13, no. 3, pp. 411–435, Aug. 2019, DOI: 10.1108/JRIM-02-2018-0032. [Google Scholar]
  20. I. Poggi, ‘Social influence and persuasion’, in Social Influence, Power, and Multimodal Communication, 1st ed., London: Routledge, 2022, pp. 24–39. DOI: 10.4324/9781003029274-3. [CrossRef] [Google Scholar]
  21. X. Gong, H. Yu, and T. Yu, ‘Literature review on the influence of social networks’, SHS Web Conf., vol. 153, p. 01009, 2023, DOI: 10.1051/shsconf/202315301009. [CrossRef] [EDP Sciences] [Google Scholar]
  22. J. Pandey, ‘Social Influence in Organizational Context’, in Nature and Dynamics of Social Influence, Singapore: Springer Nature Singapore, 2022, pp. 183–202. DOI: 10.1007/978-981-19-4598-4_8. [CrossRef] [Google Scholar]
  23. A. Qourrichi, ‘Social Influence and the Formation of Social Norms, a Psychosocial Approach’, Int. Uni-Sci. Res. J., vol. 4, no. 1, pp. 41–47, 2023, DOI: 10.59271/s44970-023-1001-8. [Google Scholar]
  24. S. Yu and S. Poger, ‘Using Matrix Operations to Measure Individual Social Influence in Mobile Messaging Apps’, in 2022 International Conference on Electrical, Computer and Energy Technologies (ICECET), Prague, Czech Republic: IEEE, Jul. 2022, pp. 1–5. DOI: 10.1109/ICECET55527.2022.9873014. [Google Scholar]
  25. A. Farizi and K. Khalisah, ‘Application of Title 45, Chapter 22 of the Laws of 2009 Relating to Supporting Facilities for the Implementation of Traffic and Road Transportation’, Int. J. Soc. Sci. Res. Rev., vol. 6, no. 2, pp. 22–27, Jan. 2023, DOI: 10.47814/ijssrr.v6i2.830. [CrossRef] [Google Scholar]
  26. M. Corcuff et al., ‘Organizations’ Strategies to Improve Implementation of Universal Accessibility Principles: Protocol for a Scoping Review’, JMIR Res. Protoc., vol. 11, no. 7, p. e33641, Jul. 2022, DOI: 10.2196/33641. [CrossRef] [Google Scholar]
  27. J. Maben, J. Ball, and A. C. Edmondson, Workplace Conditions, 1st ed. Cambridge University Press, 2023. DOI: 10.1017/9781009363839. [CrossRef] [Google Scholar]
  28. K. Rajeswari and G. Ananthi, ‘Facilitating Portfolio for holistic Engineering Education: An alternative Perspective’, J. Eng. Educ. Transform., vol. 36, no. S1, pp. 89–94, Dec. 2022, DOI: 10.16920/jeet/2022/v36is1/22180. [Google Scholar]
  29. S. Kapil, ‘Perceived Risk a Factor Influencing Online Shopping Consumer’s Psychological Behaviour: A Study of Karnal’, J. Reatt. Ther. Dev. Divers., 2023, DOI: 10.52783/jrtdd.v6i1s.229. [Google Scholar]
  30. S. Gaube, E. Lermer, and P. Fischer, ‘The Concept of Risk Perception in Health- Related Behavior Theory and Behavior Change’, in Perceived Safety, M. Raue, B. Streicher, and E. Lermer, Eds., in Risk Engineering., Cham: Springer International Publishing, 2019, pp. 101–118. DOI: 10.1007/978-3-030-11456-5_7. [CrossRef] [Google Scholar]
  31. P. A. Maguire and J. C. Looi, ‘Grasping the nettle of danger: a commentary on how people perceive their health risks, impacting on their health behaviours’, Australas. Psychiatry, vol. 30, no. 5, pp. 608–611, Oct. 2022, DOI: 10.1177/10398562221104001. [CrossRef] [Google Scholar]
  32. G. Balladares, F. Miralles, and C. Kennett, ‘The Role of Perceived Risk in Online Information Search and Pre-purchase Alternative Evaluation of Products with Significant Experiential Attributes’, in Strategic Innovative Marketing, A. Kavoura, D. P. Sakas, and P. Tomaras, Eds., in Springer Proceedings in Business and Economics., Cham: Springer International Publishing, 2017, pp. 283–289. DOI: 10.1007/978-3-319-33865-1_36. [CrossRef] [Google Scholar]
  33. A. Al Mamun, N. Hayat, M. M. Masud, Z. K. M. Makhbul, T. Jannat, and M. F. Md. Salleh, ‘Modelling the Significance of Value-Belief-Norm Theory in Predicting Solid Waste Management Intention and Behavior’, Front. Environ. Sci., vol. 10, p. 906002, Aug. 2022, DOI: 10.3389/fenvs.2022.906002. [CrossRef] [Google Scholar]
  34. W.-T. Fang, E. Ng, C.-M. Wang, and M.-L. Hsu, ‘Normative Beliefs, Attitudes, and Social Norms: People Reduce Waste as an Index of Social Relationships When Spending Leisure Time’, Sustainability, vol. 9, no. 10, p. 1696, Sep. 2017, DOI: 10.3390/su9101696. [CrossRef] [Google Scholar]
  35. N. Batool, M. D. Wani, S. A. Shah, and Z. A. Dada, ‘Theory of planned behavior and value-belief norm theory as antecedents of pro-environmental behaviour: Evidence from the local community’, J. Hum. Behav. Soc. Environ., vol. 34, no. 5, pp. 693–709, Jul. 2024, DOI: 10.1080/10911359.2023.2205912. [CrossRef] [Google Scholar]
  36. J. Szabo, J. M. Such, and N. Criado, ‘Understanding the Role of Values and Norms in Practical Reasoning’, in Multi-Agent Systems and Agreement Technologies, vol. 12520, N. Bassiliades, G. Chalkiadakis, and D. De Jonge, Eds., in Lecture Notes in Computer Science, vol. 12520., Cham: Springer International Publishing, 2020, pp. 431–439. DOI: 10.1007/978-3-030-66412-1_27. [CrossRef] [Google Scholar]
  37. S. Caplow, ‘Using value-belief-norm theory to explore visitor responses to education programs at animal-themed facilities’, J. Environ. Educ., vol. 52, no. 3, pp. 190–204, May 2021, DOI: 10.1080/00958964.2021.1900043. [CrossRef] [Google Scholar]
  38. J. A. Loughmiller-Cardinal and J. S. Cardinal, ‘The Behavior of Information: A Reconsideration of Social Norms’, Societies, vol. 13, no. 5, p. 111, Apr. 2023, DOI: 10.3390/soc13050111. [CrossRef] [Google Scholar]
  39. L. M. Hassan and E. Shiu, ‘The Role of National Cultural Values within the Theory of Planned Behaviour’, in The Customer is NOT Always Right? Marketing Orientationsin a Dynamic Business World, C. L. Campbell, Ed., in Developments in Marketing Science: Proceedings of the Academy of Marketing Science., Cham: Springer International Publishing, 2017, pp. 813–813. DOI: 10.1007/978-3-319-50008-9_223. [CrossRef] [Google Scholar]
  40. F. S. A. Brown, J. B. Fields, A. R. Jagim, R. E. Baker, and M. T. Jones, ‘Analysis of In-Season External Load and Sport Performance in Women’s Collegiate Basketball’, J. Strength Cond. Res., vol. 38, no. 2, pp. 318–324, Feb. 2024, DOI: 10.1519/JSC.0000000000004636. [CrossRef] [Google Scholar]
  41. Y. Haji-Othman and M. S. S. Yusuff, ‘Assessing Reliability and Validity of Attitude Construct Using Partial Least Squares Structural Equation Modeling (PLS-SEM)’, Int. J. Acad. Res. Bus. Soc. Sci., vol. 12, no. 5, p. Pages 378–385, May 2022, DOI: 10.6007/IJARBSS/v12-i5/13289. [Google Scholar]
  42. J. Huang, Y. Jing, L. Zhang, Z. Huang, and Q. Chen, ‘Integrating Theory of Planned Behavior and Value-Belief-Norm Theory to Explain Residents’ Intention on Garbage Classification’, J. Educ. Humanit. Soc. Sci., vol. 24, pp. 9–17, Dec. 2023, DOI: 10.54097/pnjyk833. [Google Scholar]
  43. W. A. Anggraeni, W. Ningsih, and M. Romdhon, ‘Taxpayer Compliance based on Social Norm and Tax Moral’, J. Ilmu Keuang. Dan Perbank. JIKA, vol. 13, no. 1, pp. 177–184, Jan. 2024, DOI: 10.34010/jika.v13i1.11367. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.