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Application of Technology Acceptance Model (TAM) in Consumer Behavioral Intention towards Online Shopping 技术接受模型(TAM)在消费者网络购物行为意向中的应用
Pub Date : 2021-02-10 DOI: 10.5373/JARDCS/V12I6/20202652
R. Kariapper
Online shopping isasasas buying products or services via the internet using a computer or mobile platform. It provides a different policy and environment to both consumers and suppliers for having business activities in a digital environment than a traditional way. Some countries are highly adopted and utilizing online shopping for their day to day operations. There are some differences among countries in consumers’ buying behavior toward online shopping, which may be the reason for comfortability and reliability about the procedure and policies of digital environments. Online shopping is one of the convenient and best solutions for the busy life of today’s world. This study aims to identify those options for why users select online shopping rather than traditional shopping. The research model explained and predicted the behavioral intention and attitude towards online shopping. The convenient sampling method was used to select the sample units, and the Snowball sampling method was used to identify online shopping users. The questionnaire consists of two main sections. The first section analyzes the demographic factors related to online shopping. The second section included TAM variables. among the participants, 35(56%) were males, and 27(44%) females. The majority of 31(50%) of the online shopping users were between 25 to 30 years, and the rest (6%) were above 40 years. As expected, the experience of online shopping almost 34% of the respondents have less than ten years. Whereas the rest differ in their online shopping experience, those who used online shopping for 1-3 years stood at 31%. Moreover, 24% of the respondents have 3-5 years’ experience. Only a few respondents have more than five years’ experience. It stood for 11%. This study revealed that users comprehensively supported online shopping behavior except for four hypotheses. Thus, it could be concluded that people prefer online shopping because of their knowledge, usefulness, and attitude towards online shopping. The relation between attitude and behavioral intention is strongly positive and significant.
网上购物是指使用电脑或移动平台通过互联网购买产品或服务。它为消费者和供应商在数字环境中开展业务活动提供了与传统方式不同的策略和环境。一些国家在日常业务中高度采用和利用网上购物。各国消费者对网络购物的购买行为存在一定差异,这可能是数字环境的程序和政策的舒适性和可靠性的原因。网上购物是当今世界繁忙生活中最方便和最好的解决方案之一。这项研究的目的是找出用户选择网上购物而不是传统购物的原因。研究模型解释和预测了网上购物的行为意向和态度。采用方便抽样法选择样本单位,采用滚雪球抽样法识别网络购物用户。问卷由两个主要部分组成。第一部分分析了与网上购物相关的人口因素。第二部分包括TAM变量。在参与者中,男性35人(56%),女性27人(44%)。31名网购用户(50%)的年龄在25 - 30岁之间,其余(6%)的年龄在40岁以上。不出所料,近34%的受访者网购经历都在十年以下。而其余的人在网上购物的经历不同,使用网上购物1-3年的人占31%。此外,24%的受访者有3-5年的工作经验。只有少数受访者有五年以上的工作经验。它代表11%。本研究发现,除了四个假设外,用户对网络购物行为的支持是全面的。因此,可以得出结论,人们更喜欢网上购物是因为他们对网上购物的知识,有用性和态度。态度与行为意向呈显著正相关。
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引用次数: 5
Attendance System Using RFID, IOT and Machine Learning: A Two-Factor Verification Approach 使用RFID、物联网和机器学习的考勤系统:双因素验证方法
Pub Date : 2021-02-10 DOI: 10.5373/JARDCS/V12I6/20202653
R. Kariapper
The time and attendance systems help to monitor the employers and students working and attending time. Educational systems are struggling with the traditional system. It affects the pedagogical activities considerably. The traditional system is encountering many problems, and there is a need for a robust technological solution. This study focuses on building a two-factor prototype with RFID, IoT, and machine learning techniques. A microcontroller, GSM module, RFID tag, an RFID reader are used for first step verification. A camera with Multitask Cascaded Convolutional Network (MTCNN) model is used for a second verification. When both are okay, students will get the attendance. If it fails, parents will get a notification about the student’s attendance. When the prototype is developed as a complete system, the educational system will be getting higher advantages.
考勤系统有助于监控雇主和学生的工作和出席时间。教育系统正在与传统系统作斗争。它对教学活动影响很大。传统的系统遇到了许多问题,需要一个强大的技术解决方案。本研究的重点是用RFID、物联网和机器学习技术构建一个双因素原型。微控制器,GSM模块,RFID标签,RFID阅读器用于第一步验证。使用多任务级联卷积网络(MTCNN)模型的相机进行第二次验证。当两者都没问题时,学生将得到出勤率。如果失败,家长将收到学生出勤的通知。当原型作为一个完整的系统发展时,教育系统将获得更高的优势。
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引用次数: 11
Grey Hole Attack Detection and Prevention Methods in Wireless Sensor Networks 无线传感器网络中的灰洞攻击检测与预防方法
Pub Date : 2020-08-19 DOI: 10.5373/jardcs/v12i8/20202452
C. Gowdham, Dr.N. Parvatham Vijay
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引用次数: 3
A Hybrid Gaussian Membership Function (GMF) and Fuzzy based Cost Drivers for Effective Software Cost Estimation: An Application Software Perspective 基于混合高斯隶属函数(GMF)和模糊成本驱动的有效软件成本估算:应用软件视角
Pub Date : 2020-08-19 DOI: 10.5373/jardcs/v12i8/20202446
Dr. Abdullah Al Hussein
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引用次数: 3
A Communication between Sales Executives and Doctors 销售主管和医生之间的沟通
Pub Date : 2020-07-31 DOI: 10.5373/jardcs/v12i8/20202474
A. S. Kumar, D. Kavitha
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引用次数: 0
A 7-Level Inverter with Less Number of Switches for Grid-Tied PV Applications 用于并网光伏应用的少开关7电平逆变器
Pub Date : 2020-07-30 DOI: 10.5373/jardcs/v12sp8/20202539
B. J.N
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引用次数: 5
Training Management for the Malaysian Armed Forces Religious Corps Personnel 马来西亚武装部队宗教团人员的训练管理
Pub Date : 2020-07-30 DOI: 10.5373/jardcs/v12sp8/20202627
B. Jalal, Sayuti Ab Ghani, Amnah Saayah Ismail
ABSTRACT
摘要
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引用次数: 0
The Moderating Roles of Online Shopping Experience on the Relationship between E-service Quality and Online Purchase Intention among Customers in the Klang Valley, Malaysia 马来西亚巴生谷顾客网上购物经验对电子服务品质与网上购买意愿关系的调节作用
Pub Date : 2020-07-30 DOI: 10.5373/jardcs/v12sp8/20202634
Mohd Safwan Ramli, Narehan Hassan, Nur Hidayah Ayob, Mazuin Mat Halif, Nur Athirah Sumardi
--- This research was conducted to examine e-service quality dimensions(trust, shopping enjoyment, website design and privacy) that predicted online purchase intention, as well as to examine the moderating roles of online shopping experience on the relationship between e-service quality and online purchase intention. In this study, data was collected using a set of questionnaires as the survey instrument. Two hundred and thirty questionnaires were distributed using purposive sampling technique within the period of two weeks. However, only 212 questionnaires were usable for further analysis. The findings revealed that all e-service quality dimensions (trust, shopping enjoyment, website design and privacy) had positive and significant relationships towards online purchase intention. For the moderating role analysis, it was found that only one sub-variable under e-service quality moderated the relationship, while other elements (enjoyment, website design and privacy) did not moderate the relationship. This research also suggests several recommendations for future research; among others are for the researchers to include and explore more variables such as information factors, brand equity, risk factors and other demographic factors that could influence online purchase intention. It is further suggested that online shoppers who have good experience with vendors will like to make purchases because of trust issue. Besides, it is suggested to expand the theoretical framework to include socio-economic background in the hope to find a more fruitful finding for future research.
——本研究旨在检验电子服务质量维度(信任、购物享受、网站设计和隐私)对在线购买意愿的预测,并检验在线购物体验对电子服务质量与在线购买意愿之间关系的调节作用。在本研究中,数据收集采用一套问卷作为调查工具。采用有目的抽样方法,在两周内发放问卷230份。然而,只有212份问卷可用于进一步分析。调查结果显示,所有电子服务质量维度(信任、购物享受、网站设计和隐私)对在线购买意愿都有显著的正向关系。对于调节作用分析,发现电子服务质量项下只有一个子变量对关系有调节作用,而其他因素(享受、网站设计和隐私)对关系没有调节作用。本研究还对未来的研究提出了几点建议;其中包括研究人员纳入和探索更多的变量,如信息因素、品牌资产、风险因素和其他可能影响在线购买意愿的人口因素。这进一步表明,与供应商有良好体验的在线购物者会因为信任问题而愿意购买。此外,建议将理论框架扩展到包括社会经济背景,以期为未来的研究找到更富有成效的发现。
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引用次数: 2
Two-Level Factorial Design of the Pre-processing Activities of Polyamide 12 Powder in Selective Laser Sintering Three-dimensional Printing Process 聚酰胺12粉末在选择性激光烧结三维打印过程中的预处理活性的两水平析因设计
Pub Date : 2020-07-30 DOI: 10.5373/jardcs/v12sp8/20202631
A. Damanhuri
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引用次数: 0
Impact on the Physico-chemical and Mechanical Properties of the Chain Extended Polyurethane: A Review 扩链聚氨酯对其物理化学和力学性能的影响
Pub Date : 2020-07-30 DOI: 10.5373/jardcs/v12sp8/20202633
N. I. Adam
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引用次数: 0
期刊
Journal of Advanced Research in Dynamical and Control Systems
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