scholarly journals THE EFFECT OF CONSUMERS’ BEHAVIOR AND PERCEIVED RISK ON PURCHASE DECISIONS AMONG ONLINE SHOP CONSUMERS

TRIKONOMIKA ◽  
2021 ◽  
Vol 20 (2) ◽  
pp. 90-96
Author(s):  
Dewi Indriani Jusuf ◽  
Dadang Munandar
Keyword(s):  
Data Analysis ◽  
Consumer Behavior ◽  
Perceived Risk ◽  
Structural Equation ◽  
Equation Modeling ◽  
Decision Variable ◽  
Purchase Decisions ◽  
Payment Method ◽  
Personal Factor ◽  
Online Shops

The goal of the research is to know the effect of the consumer behavior and perceived risk on, the consumers’ buying decision. This research employs a quantitative approach, descriptive and verified design. As much as 100 consumers are selected as respondents using a purposive method. The instrument of data collection is questionnaire. The data analysis used is Structural Equation Modeling. The research results show that the consumer behavior and perceived risk affects the consumer buying decision significantly. The biggest effect of the consumer behavior dimension on the buying decision variable is a personal factor and the biggest effect of the consumer behavior variable is on payment method dimension. The perceived risk contributes to the consumer buying decision significantly. It also proves that that the emerging of the online shops contributes shifting of the consumer behavior from a conventional business transaction into a digital one among the consumers.

scholarly journals Analysis of Consumer Behavior on Buying Decision at the Online Shop, Easy Shopping Indonesia

2022 ◽  
Vol 19 (2) ◽  
pp. 97-104
Author(s):  
Dewi Indriani Jusuf
Keyword(s):  
Consumer Behavior ◽  
Social Factor ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Decision Variable ◽  
Personal Factors ◽  
Payment Method ◽  
Product Selection ◽  
The Third

Know the effect of the consumer behavior of online shop, Easy Shopping Indonesia on the consumers’ buying decision. The quantitative approach, descriptive and verified design are used. As much as 100 consumers of Essay Shopping in Bandung are selected as respondents using a purposive method. The instrument of data collection is questionnaire. The data analysis used is Structural Equation Modeling based on Partial Least Square (PLS SEM). The research results show that the consumer behavior of Easy Shopping online shop affects the consumer buying decision significantly.  The biggest effect of the consumer behavior dimension on the buying decision variable is a personal factor; the second one is a psychological factor; the third one is a social factor and the fourth one is a cultural factor. The biggest effect of the consumer behavior variable is on the dimension of payment method; then the second one is distribution selection; the third one is on brand selection; the fourth one is on buying time and the last one is on product selection. Those findings are the antecedents of the online buying decision which finally affect the changes of the buying decision from the conventional buying process into the online one. Key Words : consumer behavior, cultural factors, social factors, personal factors and psychological factors, buying decision, product selection, brand selection, distribution selection, payment method and timing.  

scholarly journals Digital payment system innovations: A marketing perspective on intention and actual use in the retail sector

2021 ◽  
Vol 17 (3) ◽  
pp. 109-123
Author(s):  
Singha Chaveesuk ◽  
Bilal Khalid ◽  
Wornchanok Chaiyasoonthorn
Keyword(s):  
Data Analysis ◽  
Behavioral Intention ◽  
Perceived Risk ◽  
Structural Equation ◽  
Physical Contact ◽  
Primary Data ◽  
Equation Modeling ◽  
Retail Sector ◽  
Payment Systems ◽  
Actual Use

This study empirically investigated the marketing perspectives of behavioral intention and the actual use of digital payment solutions as electronic innovation for retail purchases in Thailand. This is important as leveraging digital innovation can be applied to minimize physical contact between retailers and customers, especially in the COVID-19 era. The UTAUT model was used and extended to include attitude, social distancing, and perceived risk variables. The study was conducted using primary data collected from 467 Thai respondents who used digital payment systems as a means of payment in retail purchases. The study data were collected employing a structured questionnaire. Techniques used in data analysis include Confirmatory Factor Analysis and Structural Equation Modeling. The results from the data analysis highlighted that behavioral intention to use digital payment innovation in Thailand was influenced by Perceived Risk (PR), Facilitating Condition (FC), Performance Expectancy (PE), and Attitudes (AT) of people. The study also revealed that exploring the marketing perspectives, Behavioral Intention (BI) significantly influenced the Actual Use (AU) of digital payment systems. The implication is that stakeholders in retail and financial sectors, such as banks and other digital payment providers, should consider aspects of people’s attitudes and perceived risk as they influence the use and adoption of innovative digital payment solutions. Thus, it is, appropriate to propose policies and regulations that promote the effective use of digital payment systems in the Thai retail sector. Acknowledgment This work is supported by King Mongkut’s Institute of Technology Ladkrabang.

scholarly journals Analysis The Effect Of Enviromental Concern And Green Advertising To Green Purchasing In Palembang City

2017 ◽  
Vol 1 (3) ◽  
pp. 297
Author(s):  
Zakaria Wahab ◽  
Rio Adistia Tama ◽  
Muchsin Saggaf Shihab ◽  
Achmad Widad ◽  
Nofiawaty Nofiawaty ◽  
...  
Keyword(s):  
Consumer Behavior ◽  
Structural Equation ◽  
Environmental Concern ◽  
Equation Modeling ◽  
Purchase Decisions ◽  
Purchasing Decisions ◽  
Government Regulations ◽  
Green Advertising ◽  
Plastic Bag ◽  
Influence Behavior

This study aims to determine the effect of environmental concern and green advertising to consumer behavior in purchasing green products (environmentally friendly bag). The study was conducted by distributing questionnaires to 200 respondents which already have purchase and know about new government regulations that require to buy a plastic bag that used in large retail. This study conducted in some major retail in Palembang (Hypermart, Diamond, and Carrefour). This study uses Structural Equation Modeling (SEM) with AMOS program to analyze the data. The results showed that green advertising significantly influence behavior change and environmental concerns significantly influence purchase decisions with the effect of changes in consumer behavior on purchasing decisions by 74.0 % and the balance of 26.0 % is the influence of other factors not examined in this research.

scholarly journals Analysis The Effect Of Enviromental Concern And Green Advertising To Green Purchasing In Palembang City

2017 ◽  
Vol 1 (3) ◽  
pp. 297
Author(s):  
Zakaria Wahab ◽  
Rio Adistia Tama ◽  
Muchsin Saggaf Shihab ◽  
Achmad Widad ◽  
Nofiawaty Nofiawaty ◽  
...  
Keyword(s):  
Consumer Behavior ◽  
Structural Equation ◽  
Environmental Concern ◽  
Equation Modeling ◽  
Purchase Decisions ◽  
Purchasing Decisions ◽  
Government Regulations ◽  
Green Advertising ◽  
Plastic Bag ◽  
Influence Behavior

This study aims to determine the effect of environmental concern and green advertising to consumer behavior in purchasing green products (environmentally friendly bag). The study was conducted by distributing questionnaires to 200 respondents which already have purchase and know about new government regulations that require to buy a plastic bag that used in large retail. This study conducted in some major retail in Palembang (Hypermart, Diamond, and Carrefour). This study uses Structural Equation Modeling (SEM) with AMOS program to analyze the data. The results showed that green advertising significantly influence behavior change and environmental concerns significantly influence purchase decisions with the effect of changes in consumer behavior on purchasing decisions by 74.0 % and the balance of 26.0 % is the influence of other factors not examined in this research.

scholarly journals Cyberstalking Victimization Model Using Criminological Theory: A Systematic Literature Review, Taxonomies, Applications, Tools, and Validations

Electronics ◽  
2021 ◽  
Vol 10 (14) ◽  
pp. 1670
Author(s):  
Waheeb Abu-Ulbeh ◽  
Maryam Altalhi ◽  
Laith Abualigah ◽  
Abdulwahab Ali Almazroi ◽  
Putra Sumari ◽  
...  
Keyword(s):  
Data Analysis ◽  
Structural Equation ◽  
Large Scale ◽  
Review Paper ◽  
Essential Element ◽  
Routine Activities ◽  
Criminological Theory ◽  
Equation Modeling ◽  
Future Research ◽  
Proposed Model

Cyberstalking is a growing anti-social problem being transformed on a large scale and in various forms. Cyberstalking detection has become increasingly popular in recent years and has technically been investigated by many researchers. However, cyberstalking victimization, an essential part of cyberstalking, has empirically received less attention from the paper community. This paper attempts to address this gap and develop a model to understand and estimate the prevalence of cyberstalking victimization. The model of this paper is produced using routine activities and lifestyle exposure theories and includes eight hypotheses. The data of this paper is collected from the 757 respondents in Jordanian universities. This review paper utilizes a quantitative approach and uses structural equation modeling for data analysis. The results revealed a modest prevalence range is more dependent on the cyberstalking type. The results also indicated that proximity to motivated offenders, suitable targets, and digital guardians significantly influences cyberstalking victimization. The outcome from moderation hypothesis testing demonstrated that age and residence have a significant effect on cyberstalking victimization. The proposed model is an essential element for assessing cyberstalking victimization among societies, which provides a valuable understanding of the prevalence of cyberstalking victimization. This can assist the researchers and practitioners for future research in the context of cyberstalking victimization.

Konsekuensi Green Trust Terhadap Green Perceived Value, Green Perceived Risk dan Green Repurchase Intention

2020 ◽  
Vol 19 (2) ◽  
pp. 62-74
Author(s):  
Destya Lisnaningrum ◽  
Sabihaini Sabihaini ◽  
Abdul Ghofar
Keyword(s):  
Perceived Risk ◽  
Structural Equation ◽  
Perceived Value ◽  
The Body ◽  
Equation Modeling ◽  
Repurchase Intention ◽  
Sample Collection ◽  
Body Shop ◽  
The Body Shop ◽  
Green Trust

This study determine the effect of green perceived value and green perceived risk on green repurchase intention mediated by green trust in customers of The Body Shop products in the Special Region of Yogykarta. The independent variables are green perceived value and green perceived risk. The dependent variable is a green repurchase intention. Green trust is a mediating variable. The population in this study are customers of The Body Shop products. Sample collection is done by area sampling techniques by grouping DIY into 5 groups, namely Bantul, Gunungkidul, Kota Yogyakarta, Kulon Progo, Sleman and the purposive sampling with the criteria of having made at least 2 purchases of The Body Shop products number of 150 respondents. The data analysis method used in this study is structural equation modeling (SEM). The results of this study are If consumers feel the benefits of a product towards the environment is high, it will increase trust and repurchase in the product. If consumers have a negative perception of a product that is high it will reduce trust and reduce interest in repurchasing the product. Consumer trust in products can mediate consumer ratings of the benefits received, negative perceptions and repurchase in the product.

From managing customers to joint venturing with customers: co-creating service value in the digital age

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Christine Falkenreck ◽  
Ralf Wagner
Keyword(s):  
Perceived Risk ◽  
Structural Equation ◽  
Business Models ◽  
Joint Venture ◽  
Digital Age ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Data Set ◽  
Content Type

Purpose Until today, scholars claim that the phenomenon of “co-creation” of value in an “interacted” economy and in the context of positive actor-to-actor relationships has not been adequately explored. This study aims to first to identify and separate the accessible values of internet of things (IoT)-based business models for business-to-business (B2B) and business-to-government (B2G) customer groups. It quantifies the drivers to successfully implement disruptive business models. Design/methodology/approach Data were gathered from 292 customers in Western Europe. The conceptual framework was tested using partial least square structural equation modeling. Findings Managing disruptions in the digital age is closely related to the fact that the existing trust in buyer-seller relationships is not enough to accept IoT projects. A company’s digitalization capabilities, satisfaction with the existing relationship and trust in the IoT credibility of the manufacturer drives the perceived value of IoT-based business models in B2B settings. Contrastingly, in B2G settings, money is less important. Research limitations/implications Research refers to one business field, the data set is of European origin only. Findings indicate that the drivers to engage in IoT-related projects differ significantly between the customer groups and therefore require different marketing management strategies. Saving time today is more important to B2G buyers than saving money. Practical implications The disparate nature of B2B and B2G buyers indicates that market segmentation and targeted marketing must be considered before joint-venturing in IoT business models. To joint venture supply chain partners co-creating value in the context of IoT-related business models, relationship management should be focused with buyers on the same footing, as active players and co-developers of a personalized experience in digital service projects. Originality/value Diverging from established studies focusing on the relationship within a network of actors, this study defines disruptive business models and identifies its drivers in B2B and B2G relationships. This study proposes joint venturing with B2B and B2G customers to overcome the perceived risk of these IoT-related business models. Including customers in platforms and networks may lead to the co-creation of value in joint IoT projects.

Analisis Pengaruh Persepsi Manfaat, Persepsi Kemudahan Penggunaan dan Persepsi Risiko Terhadap Keputusan Pembelian dengan Kepercayaan Sebagai Variabel Intervening (Studi Pada Konsumen Gofood di Kota Semarang)

2020 ◽  
Vol 19 (2) ◽  
pp. 114-125
Author(s):  
Isnaeni Agustin Widhiaswara ◽  
Harry Soesanto
Keyword(s):  
Structural Equation Modeling ◽  
Perceived Risk ◽  
Structural Equation ◽  
Sem Analysis ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Purchasing Decisions ◽  
Food Purchases ◽  
The City

This study aims to analyze the effect of perceived usefulness, perceived of ease of use, perceived risk , trust and purchasing decisions for GoFood in the city of Semarang. Respondents in this study are consumers who make food purchases through GoFood. Data collected through Google Form containing questionnaires filled out by 125 respondents. The analytical method used is Structural Equation Modeling (SEM) analysis carried out with the AMOS program. The results of hypothesis testing with SEM show that: 1. Perceived usefulness has a significant effect on trust, 2. Perceived of ease of use has a significant effect on trust, 3. Perceived risk has a significant effect on trust, 4. Trust has a significant effect on purchasing decisions, 5. Perceived usefulness has a significant effect on purchasing decisions, 6. Perceived of ease of use has a significant effect on purchasing desicion, 7. Perceived risk has a significant effect on purchasing decisions.

Consumer Confusion in Mobile Application Buying

2014 ◽  
Vol 10 (4) ◽  
pp. 52-70 ◽  
Author(s):  
Tathagata Ghosh ◽  
Venu Gopal Rao
Keyword(s):  
Consumer Behavior ◽  
Structural Equation ◽  
Need For Cognition ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Future Research ◽  
Consumer Confusion ◽  
Managerial Implications ◽  
Research Findings

This study aims to examine effects of consumer confusion proneness on two consumer behavior variables, word of mouth and buying decision, in a confusion prone product market like smartphone and mobile applications (app). Additionally, the study examines the moderating influence of a personality trait variable pertinent to information processing – need for cognition, on the afore-mentioned relationships. Data were collected via a survey from 254 post-graduate students and analyzed with the help of structural equation modeling with a partial least square (PLS) approach using SmartPLS 2.0. Research findings indicate that the dimensions of consumer confusion proneness behave differently in terms of their linkages with consumer behavior. Further, as expected, consumers' need for cognition also play a major moderating role which helps to fathom the concept of consume confusion in the context of mobile and smartphone applications. Academic and managerial implications as well as scope for future research are also discussed.

scholarly journals Peran Involvement Sebagai Variabel Pemoderasi Model Loyalitas Pelanggan

2018 ◽  
Vol 7 (1) ◽  
pp. 33
Author(s):  
Budi Setyanta
Keyword(s):  
Structural Equation Modeling ◽  
Data Analysis ◽  
Customer Satisfaction ◽  
Customer Loyalty ◽  
Structural Equation ◽  
Equation Modeling ◽  
Survey Method ◽  
Customer Involvement ◽  
Perceived Price

This research aims to identify the role of involvement as a moderating variable in the model of customer loyality. The population in this study is the Xiaomi smartphone users in Yogyakarta. Data is collected through survey method that is guided by questionnaire. The data samples are 200 respondents to eligible the data analysis by structural equation modeling. The results indicate that the involvement moderates the effect of perceived quality, perceived price and after-sales service towards customer satisfaction.. Besides, the result is the involvement moderates the effect of customer satisfaction on customer loyalty. The results are used to develop strategies to effectively increase customer loyalty by designing a stimulus to increase customer loyalty considering the level of customer involvement.

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