Customer trust of online shopping using social media

Mariana, Vlas; Wibawa, Aji Prasetya; Hammad, Jehad; Herdianto, Roni; Haviluddin, .

doi:10.1088/1757-899x/403/1/012075

Cited by 4 publications

(2 citation statements)

References 5 publications

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“…As well as, many researchers propose several methods to improve performance on large data processing. In business communities, Big Data has been utilized in industrial IT services and solutions [27], economics area; bank [27], [28], vehicles rental [29], [30], manufacturing [30], consumer analytics [31]- [33], marketing [34], [35],energy consumption [36], healthcare domain; healthcare financing, pharmaceutical, Ebola, DNA microarray analysis, DNA, RNA and protein [37]- [45], engineering domain; futuristic applications domain (i.e., robot taxi, city information model (CIM)), geospatial, remote sensing, wireless network [37], [46]- [50]. According to the McKinsey Global Institute study of Big Data on five types of industries, namely the US healthcare industry, sector governance in Europe, the retail industry in the US and global scale manufacturing stated that Big Data can generated considerable value [12].…”

Section: Data/information Is Powermentioning

confidence: 99%

Big data: issues, trends, problems, controversies in ASEAN perspective

Haviluddin

Alfred

2019

Bull.Socinf.The.App

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Big Data has a characteristics is size, new opportunities and have the potential to transform corporations and government and its interactions with the public. This paper attempts to offer a broader definition of Big Data that captures it is other unique and defining characteristics. This paper presents a consolidated description of Big Data by integrating definitions from practitioners and academics. In addition, we summarize the issues, trends, problems and controversies related to Big Data (technology, applications, and people) from infrastructure (i.e., hardware and software), technology for Big Data Analytics (BDA), management, educational and scientists, and government-related to policies perspectives in order to support the Economic Community ASEAN (AEC) era.

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Section: Data/information Is Powermentioning

confidence: 99%

Big data: issues, trends, problems, controversies in ASEAN perspective

Haviluddin

Alfred

2019

Bull.Socinf.The.App

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“…Previously, several researchers in Indonesia had conducted studies on the characteristics of online shop customers (Zakiatuzzahrah et al 2018;Yulita et al 2019). Likewise, customer satisfaction, trust, and loyalty to online stores in Indonesia (Dhiranty et al 2017;Tirtayani and Sukaatmadja, 2018;Mariana et al 2018). However, none of these studies has specifically examined customers who buy hijabs in online stores.…”

Section: Introductionmentioning

confidence: 99%

Consumers’ Satisfaction, Trust, and Loyalty Toward the Hijab Online Shops

Hendarto¹,

Wijayanto

Muflikhati

2021

ijbe

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The number of hijab users in Indonesia is increasing. This study aims to analyze online hijab shop customers' characteristics, the level of satisfaction, trustworthiness, consumer loyalty, and the influence between the level of satisfaction and trust on consumers' loyalty to who buy the hijab at online stores in Indonesia. Data were collected through a questionnaire with a Likert Sala, made using Google Form and distributed online. The study sample of 153 people was determined using a purposive sampling technique. The collected data were analyzed using Structural Equation Modeling (SEM)-Partial Least Square (PLS). The results of this study indicate that: (1) online hijab shop customers are dominated by students aged 17-25 years; (2) Consumer Satisfaction Index (CSI) of 79%, which means that consumers are satisfied with the e-commerce services used by consumers; (3) online hijab shop customers are satisfied with the services provided by online hijab shops; (4) the level of customer loyalty is 72%, which means that consumers have high enough loyalty so that they are willing to keep shopping at the current online hijab shop and are willing to recommend it to consumers' colleagues or relatives; and (5) customer satisfaction and trust have a significant effect on customer loyalty. From the results of this study, it is recommended that online hijab shop managers provide hijab that suits students and students' needs to use them at school or campus and always maintain customer satisfaction and trust so that they continue to be loyal customers.

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Smart Monitoring Agriculture Based on Internet of Things

Kurniawan

Nurhayati

Arif³

et al. 2018

2018 2nd East Indonesia Conference on Computer and Information Technology (EIConCIT)

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Agriculture is one of the issues that never runs out to be discussed. Since agriculture is one of the main sources of livelihood of the rural population. Therefore, the construction of agricultural data-based internet of things is very important to do. In this paper we present the steps of making agricultural monitoring tool-based internet of things in a comprehensive manner, using prototyping methods drawn from the experience of the agricultural process. A combination of hardware and software that uses data communication-based wireless fidelity (Wi-Fi) allow monitoring parameters of agricultural data visually and accurately, making it easier for farmers to act when something events that require rapid handling.

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Customer trust of online shopping using social media

Cited by 4 publications

References 5 publications

Big data: issues, trends, problems, controversies in ASEAN perspective

Big data: issues, trends, problems, controversies in ASEAN perspective

Consumers’ Satisfaction, Trust, and Loyalty Toward the Hijab Online Shops

Smart Monitoring Agriculture Based on Internet of Things

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