scholarly journals An Empirical Study on the Segmentation of Potential Users of Shared Parking Spaces considering Individual Heterogeneity

2022 ◽  
Vol 2022 ◽  
pp. 1-18
Author(s):  
Ange Wang ◽  
Hongzhi Guan ◽  
Jun Guo ◽  
Yan Han ◽  
Hangjin Bian

Shared parking has become the most effective way to utilize existing parking resources. Little attention has been focused on drivers’ intention to use shared parking spaces in residential areas considering individual heterogeneity. To fill this gap, this paper explores the influencing factors and mechanism of shared parking use intention (SPUI) and further studies the preferences for the shared parking of different types of drivers. Firstly, based on the extended unified theory of acceptance and use of technology that includes psychological factors, personal attributes, and travel characteristics, the multiple indicator multiple cause (MIMIC) model was employed for parameter estimation and model assessment. Secondly, using MIMIC’s output results as input variables, the segmentation method of the latent class model (LCM) was adopted to explore drivers’ preferences regarding SPUI. Finally, a quantitative study was carried out through questionnaire data. The empirical results show that: (a) the extended unified theory of acceptance and use of technology has good explanatory power for SPUI. SPUI is directly affected by perceived risk (PR), behavioral habit (BH), social influence (SI), facilitating conditions (FCs), and effort expectancy (EE), while performance expectancy (PE) have no significant effect on SPUI. In addition, some factors of personal attributes and travel characteristics affect SPUI through psychological factors. (b) According to individual heterogeneity, the surveyed driver groups are divided into four segments: sensitive type (36%), conservative type (29.6%), neutral type (24.5%), and approved type (9.9%), respectively. There are significant differences in psychological observation variables such as EE, PE, FC, and SI among the four segments of drivers. According to the influence mechanism of psychological factors and preferences analysis of different types of drivers, the shared parking promotion strategy can be formulated from the aspects of management, operation, and technology.

2019 ◽  
Vol 15 (2) ◽  
pp. 76-94
Author(s):  
Abdulsalam Mas'ud ◽  
Mohammed Abdullahi Umar

Digitalizing tax collection systems through electronic tax filing (e-filing) could have the potential of maximizing revenues to concerned authorities as it blocks leakages that undermine collection efforts. In this article, the Unified Theory of Acceptance and Use of Technology (UTAUT) is expanded to explain the structural effects of trust in e-filing software on e-filing acceptance intention among micro-entrepreneurs in the services sector. A quantitative research design was adopted with data collected from 158 micro-entrepreneurs in five services sectors which was analyzed through PLS-SEM. From the analyses, it was found that performance expectancy, effort expectancy, and social influence significantly influence both trust in e-filing software and e-filing acceptance intention. Interestingly, the results revealed significant structural mediating effects of trust in e-filing among the three variables. These findings expand the explanatory power of UTAUT in relation to structural effects of trust in e-filing in the services sector. Equally, it will benefit policymakers in designing e-filing software in such a way to meet the users' requirements relating to language and compatibility.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Minghao Pan ◽  
Wei Gao

Abstract Background Although a mobile nursing application has began to adopt in nursing, few studies have focused on nurses’ behavioral intention of it. The objective of this study is to gain insight into the behavioral intention of nurses, i.e. chinese nurses of the future, to use a mobile nursing application. This study adopted an extension of the Unified Theory of Acceptance and Use of Technology to examine Chinese nurses’ acceptance of a mobile nursing application. Methods A total of 1207 nurses participated in the cross-sectional survey. The majority of nurses were female (96.2%). The mean age of the participants was 34.18 (SD 7.39). The hypothesized relationships were tested using AMOS structural equation model. Results All constructs exhibited an acceptable level of reliability and validity with Cα and CR > 0.7 and AVE > 0.5. An extension of the Unified Theory of Acceptance and Use of Technology Model had good explanatory power for nurses’ behavioral intention of a mobile nursing application. Although effort expectancy and perceived risks had a surprisingly insignificant effect on nurses’ behavioral intention to use a mobile nursing application, performance expectancy, social influence, facilitating conditions, self-efficacy, and perceived incentives demonstrated significant influence with β = .259, p < .001, β = .296, p < .001, β = .063, p = .037, β = .344, p < .001, β = .091, p = .001, respectively. Conclusion With 70.2% of the variance in behavioral intention to use a mobile nursing app explained by this model, it could be helpful for potential adopters, and further investigation should test the actual usage behavior for a mobile nursing app and investigate the related factors.


2016 ◽  
Vol 36 (4) ◽  
pp. 396-411 ◽  
Author(s):  
Hsiu-Ying Chung ◽  
Gwo-Guang Lee ◽  
Ren-Zong Kuo

The competence of public servants has a direct impact on a country’s administrative performance, for which governments provide considerable funding and training. Therefore, their behaviors toward e-government learning are worth examining. This study investigated the factors influencing the behavioral intention of public servants toward adopting e-government learning. The unified theory of acceptance and use of technology (UTAUT) was adopted as the theoretical basis for analysis, and three constructs, behavioral attitude, barrier factor, and policy factor were added to obtain a more complete perspective and to enhance explanatory power. The results indicated that the research model, apart from fully demonstrating the characteristics of the research subject, identified the key factors to facilitate the policy-making processes of the government agency in charge of e-government learning.


1982 ◽  
Vol 21 (03) ◽  
pp. 127-136 ◽  
Author(s):  
J. W. Wallis ◽  
E. H. Shortliffe

This paper reports on experiments designed to identify and implement mechanisms for enhancing the explanation capabilities of reasoning programs for medical consultation. The goals of an explanation system are discussed, as is the additional knowledge needed to meet these goals in a medical domain. We have focussed on the generation of explanations that are appropriate for different types of system users. This task requires a knowledge of what is complex and what is important; it is further strengthened by a classification of the associations or causal mechanisms inherent in the inference rules. A causal representation can also be used to aid in refining a comprehensive knowledge base so that the reasoning and explanations are more adequate. We describe a prototype system which reasons from causal inference rules and generates explanations that are appropriate for the user.


2020 ◽  
pp. 205-210
Author(s):  
A. M. Meirmanova

The presented study examines e-commerce technologies a new conceptual framework of the unified theory of acceptance and use of technology among small and medium enterprises (SMEs) in developing countries.Aim. The study aims to identify factors for the implementation and acceptance of e-commerce among small and medium enterprises (SMEs) in developing countries.Tasks. The authors utilize tools of G. Hofstede’s cultural dimensions theory to describe the emotional attitude of an individual to the use of technology.Methods. This study examines various aspects of the method of the unified theory of acceptance and use of technology (UTAUT), which is implemented in many studies of behavioral intentions of individuals in the adoption of new technologies.Results. For the first time, a conceptual (predictive) model based on four moderating variables is proposed. The variables include such cultural dimension parameters as power distance index  (PDI), individualism/collectivism  (IDV), uncertainty avoidance  (UAI), and long-term/short-term orientation (LTO). These moderators boost the effect of the basic constructs on the behavioral propensity for the use and application of technologies.Conclusions. Based on the considered conceptual framework, the authors propose a number of recommendations for the development of tools that would ensure the required level of employee engagement in the acceptance and use of e-commerce technologies among small and medium enterprises (SMEs) in developing countries. Another promising direction involves using the tools of G. Hofstede’s cultural dimensions theory to examine the specific aspects of the acceptance and use of information technology among organizations belonging to different national business cultures.


2020 ◽  
Vol 14 (4) ◽  
Author(s):  
Indriyanti, Tri Wahyuni, Erni Ermawati, Nurul Ichsan , Haerul Fatah

AbstrakBerkembangnya teknologi informasi memberikan pengaruh yang cukup bagi masyarakat, tetapi terkadang ada beberapa teknologi yang kurang diterima oleh masyarakat karena beberapa faktor. Penelitian ini bertujuan untuk menganalisis rasio metode TAM dan UTAUT dalam mengukur keberhasilan penggunaan aplikasi Ojek Online di Sleman, Yogyakarta. Metode yang paling banyak digunakan untuk menganalisis keberhasilan penggunaan teknologi adalah metode TAM dan UTAUT. Metode TAM dan UTAUT juga merupakan metode terbaik karena mampu menjelaskan perilaku pengguna terhadap penggunaan teknologi. Responden dalam penelitian ini adalah pengguna aplikasi Ojek Online di Kabupaten Sleman di Yogyakarta yang terdiri dari siswa dan masyarakat umum. Responden dalam penelitian ini diambil secara acak dari seluruh populasi. Data yang dikumpulkan diolah menggunakan SPSS agar mudah dianalisis lebih lanjut. Metode yang digunakan adalah metode korelasional. Hasil dari penelitian ini adalah bahwa metode TAM dan UTAUT mampu menganalisis penerimaan aplikasi Ojek Online meskipun nilai beberapa konstruk yang digunakan dalam penelitian ini hanya mempengaruhi penggunaan aktual sebesar 8% dan 5,2%. Kata kunci: Analisa Model, Technology Acceptance Model (TAM), Unified Theory of Acceptance and Use of Technology (UTAUT), Aplikasi Ojek Online, Uji Determinasi


ProBank ◽  
2020 ◽  
Vol 4 (2) ◽  
pp. 230-232
Author(s):  
Khadijah Khadijah ◽  
Ika Swasti Putri

Seiring pesatnya perkembangan jaman, kebutuhan akan informasi terus meningkat. Peningkatan penggunaan teknologi  komputer  sebagai pengembangan teknologi  informasi  telah  banyak  mengubah pemrosesan data akuntansi menjadi otomatis. Individu dimudahkan dengan adanya Internet Banking sehingga tidak perlu melakukan transaksi keuangan melalui kantor cabang, ATM, atau manual. Adanya sistem informasi, maka dilakukan penelitian untuk mengetahui minat perilaku pemanfaatan dan penggunaan Internet Banking menggunakan penerapan model UTAUT (Unified Theory Of Acceptance And Use Of Technology). Penelitian ini merupakan replikasi dan pengembangan model UTAUT yang dikembangkan oleh Venkatesh, dkk tahun 2003. Penelitian menggunakan metode kuesioner yang dilakukan di 5 Perguruan Tinggi dikhususkan pada Magister Akuntansi dan Manajemen, dosen dan pengusaha yang terdaftar di UMKM Semarang. Data yang digunakan merupakan data primer dan pengumpulan data menggunakan metode survey dan purposive sampling. Sebanyak 171 orang yang melakukan transaksi keuangan melalui fasilitas Internet Banking. Hasil penelitian menunjukkan konstruk ekspektasi kinerja, ekspektasi usaha, pengaruh sosial memiliki pengaruh positif dan Kondisi yang memfasilitasi tidak berpengaruh terhadap penggunaan Internet Banking. Sedangkan konstruk minat perilaku berpengaruh terhadap penggunaan Internet Banking. Konstruk gender memoderasi terhadap minat  perilaku pemanfaatan Internet Banking. Umur  memoderasi ekspektasi kinerja  dan  pengaruh sosial, konstruk  pengalaman  memoderasi  dan  gagal  memoderasi  ekspektasi  usaha,  kondisi  yang  terhadap  minat perilaku dan penggunaan Internet Banking.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jiao Lu ◽  
Yuan Wang ◽  
Lihong Hou ◽  
Zhenxing Zuo ◽  
Na Zhang ◽  
...  

Abstract Background Influenced by various factors such as socio-demographic characteristics, behavioral lifestyles and socio-cultural environment, the multimorbidity patterns in old adults remain complex. This study aims to identify their characteristics and associated multi-layered factors based on health ecological model. Methods In 2019, we surveyed a total of 7480 participants aged 60+ by using a multi-stage random cluster sampling method in Shanxi province, China. Latent class analysis was used to discriminate the multimorbidity patterns in old adults, and hierarchical regression was performed to determine the multi-layered factors associated with their various multimorbidity patterns. Results The prevalence of multimorbidity was 34.70% among the old patients with chronic disease. Over half (60.59%) of the patients with multimorbidity had two co-existing chronic diseases. “Degenerative/digestive diseases”, “metabolic diseases” and “cardiovascular diseases” were three specific multimorbidity patterns. Behavioral lifestyles-layered factors had the most explanatory power for the three patterns, whose proportions of explanatory power were 54.00, 43.90 and 48.15% individually. But the contributions of other multi-layered factors were different in different patterns; balanced diet, medication adherence, the size of family and friendship network, and different types of basic medical insurance might have the opposite effect on the three multimorbidity patterns (p < 0.05). Conclusions In management of old patients with multimorbidity, we should prioritize both the “lifestyle change”-centered systematic management strategy and group-customized intervention programs.


Author(s):  
Yuyang Zhao ◽  
Fernando Bacao

Owing to the convenience, reliability and contact-free feature of Mobile payment (M-payment), it has been diffusely adopted in China during the COVID-19 pandemic to reduce the direct and indirect contacts in transactions, allowing social distancing to be maintained and facilitating stabilization of the social economy. This paper aims to comprehensively investigate the technological and mental factors affecting users’ adoption intentions of M-payment under the COVID-19 pandemic, to expand the domain of technology adoption under the emergency situation. This study integrated Unified Theory of Acceptance and Use of Technology (UTAUT) with perceived benefits from Mental Accounting Theory (MAT), and two additional variables (perceived security and trust) to investigate 739 smartphone users’ adoption intentions of M-payment during the COVID-19 pandemic in China. The empirical results showed that users’ technological and mental perceptions conjointly influence their adoption intentions of M-payment during the COVID-19 pandemic, wherein perceived benefits are significantly determined by social influence and trust, corresponding with the situation of pandemic. This study initially integrated UTAUT with MAT to develop the theoretical framework for investigating users’ adoption intentions. Meanwhile, this study originally investigated the antecedents of M-payment adoption under the pandemic situation and indicated that users’ perceptions will be positively influenced when technology’s specific characteristics can benefit a particular situation.


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