Modest wear e-commerce: examining online purchase intent in Indonesia

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Eli Sumarliah ◽  
Sher Zaman Khan ◽  
Rafi Ullah Khan

Purpose The study has three primary purposes, i.e. (1) to examine the determinants influencing customers’ online purchase intent for modest wear; (2) to measure the effects of electronic innovativeness, fashion innovativeness, perceived value, and trust on the intent to buy modest wear via the Internet; (3) to inspect how the factor “trust” can affect the “perceived value” of modest wear purchase through e-commerce; and (4) to explore the roles of “attitude” and “religiosity” in influencing customers’ intent to purchase modest wear online. Design/methodology/approach 561 Muslim consumers were reviewed in the study. According to the conceptual framework established through a literature review on the constructs suggested, measurement items were modified to the study’s perspective, and a 31-item questionnaire was applied. A regression examination of potential variables was applied using ADANCO version 2.0.1 software and the PLS-SEM. Findings The findings signify that the leading factors affecting online modest wear purchase intent are fashion innovativeness, electronic innovativeness, perceived value, trust, attitude, and religiosity. Meanwhile, trust is the predictor of perceived value, and religiosity is the predictor of attitude. Originality/value There are only two notable studies that focus on modest fashion purchase intention in the online channel with examining only three influential factors. The study is an initial effort to examine new and more complete leading factors affecting online modest wear purchase intent including fashion innovativeness, electronic innovativeness, perceived value, trust, attitude, and religiosity.

2016 ◽  
Vol 26 (5) ◽  
pp. 1228-1248 ◽  
Author(s):  
Jin-Feng Wu ◽  
Ya Ping Chang

Purpose The purpose of this paper is to understand the role of multichannel integration quality in enhancing online perceived value and online purchase intention via the online store operated by a land-based retailer. Design/methodology/approach This paper develops a research model based on the “quality-value-purchase” chain, with four dimensions of multichannel integration quality as antecedents and three dimensions of online perceived value as mediators of online purchase intention. Empirical data were collected from 390 multichannel shoppers and structured equation modeling was used to test the research hypotheses. Findings Among the four multichannel integration quality dimensions, transparency of service configuration, process consistency and business ties positively affect online purchase intention through online perceived value, whereas the effects of information consistency are not significant; process consistency exerts a stronger influence on online perceived value than business ties; the effect of online convenience on online purchase intention is weaker than that of online monetary savings and online hedonic value. Research limitations/implications The study identifies the theoretical principles of the relationships among multichannel integration quality, online perceived value and online perceived value in multichannel context. Based on these theoretical principles, this study will help researchers to better understand consumers’ online purchase intention and the creation of online perceived value in the integrated multichannel context. Practical implications The findings of this study can provide retailers with useful strategies to increase online purchase intention depending on improvement of multichannel integration quality and online perceived value. Originality/value This study provides a first study to empirically assess various types of online perceived value attached to multidimensional properties of multichannel integration quality and the corresponding effects on online purchase intention. Overall, the results offer insights of how land-based retailers could manage their online performance by integrating multiple channels and improving online perceived value.


2019 ◽  
Vol 14 (3) ◽  
pp. 281-306 ◽  
Author(s):  
Citra Kusuma Dewi ◽  
Zurina Mohaidin ◽  
Mohsen Ali Murshid

Purpose The purpose of this paper is to identify the factors affecting consumers' online purchase intention and to explore whether there was any significant difference between the path coefficients for males and females. Design/methodology/approach Data were collected by distributing questionnaires to 668 Indonesian consumers who were actively using the internet. The data were analyzed using partial least squares structural equation modeling (PLS-SEM) and multi-group analysis (MGA) in SmartPLS 3.0 software. Findings Results show that performance expectancy, effort expectancy and personal innovativeness are three influential factors and have a higher path coefficient in both the male and female groups. Anxiety shows a negative and significant relationship with online purchase intention for female consumers than for male consumers. Furthermore, the results of MGA analysis indicate that most factor coefficients in the determinants of online purchase intentions are not significantly different between males and females. Practical implications These results help the web retailers to consider the important factors in their strategies when they make strategic decisions as key factors affecting online buying intention. Besides this, the strong relationship between anxiety and intention for females has important implications for managers and designers should pay attention to this factor when designing the content on their business website. Originality/value Even though several marketing scholars discuss the factors influencing online shopping behavior, a few studies have shown the role of anxiety and personal innovativeness and their effect on online purchasing that fitted as supplements into the Unified Theory of Acceptance and Use of Technology (UTAUT). In addition, so far, no studies have effectively made a comparative analysis across gender, i.e. are personal and UTAUT factors in the determinants of online purchase intention significantly different across gender?


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pedro Espírito Santo ◽  
Alzira Maria Ascensão Marques

PurposeThe Internet has changed the nature of purchasing, proof of this being the proliferation of e-commerce sites which have seen their activity grow more quickly due to the COVID-19 pandemic. Therefore, the authors aim to investigate the impact of the consumer's hedonic motivations, price, access to information and trust on the online purchase intention.Design/methodology/approachA quantitative, transversal study of a conclusive nature was carried out. Based on information gathered through a questionnaire administered to a sample of 750 online purchasers, a structural equation model was estimated.FindingsThe results showed that the intention to continue purchasing in online shops is partly explained by access to information online, hedonic motivations and trust in e-commerce sites. It stands out that online information generates trust, and the perception of online prices does not influence loyalty but has a positive influence on hedonic motivations.Research limitations/implicationsAlthough some constructs were ignored, for example, the integration of channels, experiential marketing and the fear of fraud, including unauthorised use of personal details, the study shows that easy access to useful information about products, prices, promotions is an important antecedent of online purchase.Practical implicationsOnline shop managers should pay special attention to e-commerce websites, and the information provided there should explore consumer's hedonic motivations for adventure. Furthermore, it is fundamental to create trust in order to maintain the interest in online shopping.Originality/valueThe estimation of the structural model in the context of online shopping includes the influence of utilitarian motivations (price and access to information), which offer a rational experience and also include emotional motivations (hedonic adventure motivations) on the intention to buy online. The results also revealed that it plays an important role to promote online trust and online loyalty.


Author(s):  
Yap Mun Fei ◽  
Cheng Boon Liat

Objective- This paper attempts to explore the continuance purchase intention among Malaysian consumers on the internet, through the conceptual framework as modified from the Technology Acceptance Model. Methodology/Technique The research data has been collected through the use of an internet-based survey method, with a convenience sample of 300 Malaysian respondents in June 2014; whereas, data analysis is further conducted using the SPSS software, through the measurements of a simple linear regression test, mediation test and moderation test. Findings Results show a positive relationship between perceived usefulness and trust; while the continuance intentionfor online purchase is positively significant to perceived usefulness. The partial mediating role of subjective norm is further identified, between perceived usefulness and continuance intention. It is also understood that both male and female perceive the usefulness of website as an important factor toward their intention to online re-purchase. Novelty - Most of the researches are conducted solely upon the factors or purchase intention, limited studies have been done to investigate the continuance purchase intention among fellow consumers. Type of Paper Empirical paper Keywords: , E-Commerce, Trust, Perceived Usefulness, Subjective Norm, Continuance Intention, Gender


2020 ◽  
Vol 24 (3) ◽  
pp. 361-380 ◽  
Author(s):  
Youssef Chetioui ◽  
Hikma Benlafqih ◽  
Hind Lebdaoui

PurposeThis study examines the impact of attitudes toward fashion influencers (FIs) on brand attitude and consumer purchase intention. It also aims to identify factors affecting consumers' attitudes toward FIs.Design/methodology/approachTo achieve this goal, the authors propose a conceptual model that combines the theory of planned behavior (TPB) and theoretical outcomes of prior literature related to influencer marketing. Based on data collected from 610 Moroccan respondents, the authors empirically test the conceptual model using a partial least squares (PLS) estimation.FindingsThis study illustrates that attitudes toward FIs positively impact brand attitude and consumer purchase intention. The authors also demonstrate that perceived credibility, trust, perceived behavioral control, perceived subjective norms, perceived expertise and perceived congruence positively impact attitudes toward FIs.Practical implicationsThe study findings help marketers and advertisers in the fashion industry to understand how influencer marketing contributes to consumer purchase intention. They also allow marketers to understand factors explaining attitudes toward FIs and therefore better select influencers capable of creating purchase intentions among existing and potential customers.Originality/valueThe present paper bridges a gap pertaining to antecedents and factors that impact attitudes toward FIs and consumer purchase intention. To the authors’ knowledge, this study is the first of its kind to investigate the impact of attitudes toward influencers on both brand attitude and purchase intention in the fashion industry.


2020 ◽  
Vol 4 (1) ◽  
pp. 73-86 ◽  
Author(s):  
Jinghuan Zhang ◽  
Wenfeng Zheng ◽  
Shan Wang

Purpose The purpose of this paper is to explain the difference and connection between the network big data analysis technology and the psychological empirical research method. Design/methodology/approach This study analyzed the data from laboratory setting first, then the online sales data from Taobao.com to explore how the influential factors, such as online reviews (positive vs negative mainly), risk perception (higher vs lower) and product types (experiencing vs searching), interacted on the online purchase intention or online purchase behavior. Findings Compared with traditional research methods, such as questionnaire and behavioral experiment, network big data analysis has significant advantages in terms of sample size, data objectivity, timeliness and ecological validity. Originality/value Future study may consider the strategy of using complementary methods and combining both data-driven and theory-driven approaches in research design to provide suggestions for the development of e-commence in the era of big data.


2019 ◽  
Vol 21 (2) ◽  
pp. 193-210 ◽  
Author(s):  
Manu Sharma ◽  
Manish Gupta ◽  
Sudhanshu Joshi

Purpose The purpose of the study is twofold. The first objective is to identify adoption barriers (AdoBs) in engaging young consumers in the Omni-channel retailing (OCR). The second objective is to develop interrelationship among identified AdoBs. Design/methodology/approach The study used interpretative structural modeling–fuzzy ( Matriced’ Impacts Croisés Multiplication Appliquée a UN Classement) methods on 18 AdoBs identified from the existing literature and validated from 10 experts and 137 young consumers through pairwise comparison using the arithmetic hierarchical process method. The resulting ten barriers were further investigated for identifying the strength of relationships among them. Findings The study has identified price inconsistency as the dominant AdoB that restricts young consumers in engaging with OCR. The other critical AdoBs include lack of coordination among the channels, and information sharing and inconsistent price discount are the main barriers that affect all the other barriers among the 10 AdoBs identified in this study. The data also revealed that the young consumers exhibit the research-online purchase-offline effect in the purchase process. Research limitations/implications The research study has undertaken ten barriers only. The interrelationship among the barriers may be tested further with advanced techniques. The data have been collected from young consumers of emerging markets only which may be further extended for other markets. Practical implications This study helps practitioners and decision-makers understand about AdoBs faced by the young consumers influencing the purchase-intention process. Retailers or marketers are encouraged to focus on price consistency, advanced shared information system, proper coordination and developing trust of consumers in sharing their data to enhance the acceptability of Omni channels. Moreover, the identification of barriers and their strength offer marketers or retailers an opportunity to engage them in an effective manner and thus create value using communication channels. Social implications Social benefits of understanding barriers are helpful for transforming the existing retail channel into a fully integrated Omni-channel ecosystem. For this, AdoBs identified and their inter-relationships explored in this study could be used for engaging young consumers in OCR. Originality/value To date, the research on Omni-channel barriers in the present context is scant. The research provides insides on identified dimensions on young consumer engagement in OCR.


2019 ◽  
Vol 38 (3) ◽  
pp. 638-653 ◽  
Author(s):  
Kuo-Lun Hsiao ◽  
Miltiadis D. Lytras ◽  
Chia-Chen Chen

Purpose Although location-based augmented reality (AR) games are popular in recent years, the motivation of in-app purchases still needs further investigation. The purpose of this paper is to investigate the antecedents of the intention to make a purchase in location-based AR games. Design/methodology/approach This research develops a conceptual model and hypotheses based on the theory of perceived values and satisfaction to investigate the antecedents. An online questionnaire was developed and distributed on popular websites to collect data, and 662 usable responses were collected from the players of Pokémon Go in Taiwan. Findings In total, 22 hypotheses were validated by using partial least squares techniques. Among the antecedents of in-app purchases intention in the model, the perceived value and satisfaction were found to have strong direct effects. The antecedents of the perceived value (flow, design aesthetic, social self-expression and good price) have direct influences on the perceived value of all players. Design aesthetic, reward and the perceived value were found to have a direct impact on all players’ satisfaction. Moreover, the differences between paying users and non-paying users were discussed and verified. Originality/value The model demonstrated relatively good explanatory power for purchase intention in the context of location-based AR game. The proposed model can provide insights to location-based AR game developers to design their games and marketing strategies.


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