100,545 research outputs found

    HOW DO WE BEHAVE IN A DIGITAL ENVIRONMENT? – THE IMPACT OF DIGITAL MARKETING ON CONSUMER BEHAVIOR

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    The purpose of this paper is to determine the impact of digital marketing on consumer behavior in a digital environment, their online purchase decision, satisfaction with online shopping and risk perception. The goal was to investigate the relationship between the impact of different factors of digital marketing on consumer decision to purchase products online, their satisfaction and risk perception. An analysis of the recent literature on the topic of digital marketing, consumer behavior, online purchase decision, satisfaction and risk perception was performed. Empirical research was conducted on a convenience sample of 200 respondents. Descriptive and multivariate statistics were used in the data analysis. Data analysis was performed using the software package IBM SPSS Statistic Version 23. The results of the research show that online reviews have an important impact on customer online purchase decision. The results also show that there is a positive and significant impact between online purchase decision and customer satisfaction and a weak relationship between risk perception and customer satisfaction. The research represents a starting point for further research on online consumer behavior, factors affecting their online purchase decision and risk perception reduction. Furthermore, the results can help online sellers develop strategies and tactics that can have a positive impact on online customer purchase decision and risk perception reduction

    Fostering love for innovative sustainable brands : A multi-study, multi-method approach

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    While much research has examined cognitive evaluations of sustainable brands in offline contexts, there is limited exploration of consumers' emotional responses to such brands online. This study introduces a model of brand love for innovative, sustainable brands, based on two rigorously designed studies: experiments and a survey with configurational analysis. Our findings reveal significant causal effects of perceived brand innovativeness and brand knowledge on brand love and consumers' repurchase intentions. Additionally, fuzzy set qualitative comparative analysis (fsQCA) identifies two distinct consumer categories—rational and impulsive—based on their repurchase behavior of sustainable brands. For business owners and sustainability advocates, fostering brand love is crucial for engaging consumers online. By integrating emotional appeal with a commitment to sustainability, brands can enhance consumer engagement, encourage repeat purchases, and contribute to a more sustainable online shopping environment

    Towards an understanding of consumer´s behavior of buying secondhand products on social media

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    Due to the research scarcity in consumers’ secondhand shopping behaviors and consumer-to-consumer (C2C) businesses on social media platforms, this thesis decided to concentrate on both secondhand products and social media. The aim of this thesis is to explore the consumers’ behaviors of buying secondhand products on social media – a new channel of doing C2C businesses. To achieve the research aim, I conducted a combined method consisting of 106 questionnaires and ten semi-structured interviews to collect empirical data in this study. After an analysis of empirical data including both qualitative and quantitative data, three main findings were concluded. (1) The thesis firstly explored the social media as an open online marketplace for doing secondhand transactions. Consumers exchange secondhand products on social media in an ‘informal’ way. (2) The finding highlighted that, when consumers buy secondhand products on social media platforms, they are involved either in a ‘passive shopping’ process or an ‘active shopping’ process, and it is highly possible for them to experience hedonic factors (e.g. excitement, fun) due to the occasional and unexpected shopping results. This finding provides two new angels (passive shopping and active shopping) for researchers to analyze consumer behaviors in the future. (3) By extending the study of secondhand shopping motivation from Guiot & Roux (2009, 2010) in an online trading environment, the findings showed that utilitarian aspects of shopping such as price, convenience, product information, and trust mainly drive consumers’ behavior of buying secondhand products on social media. Environmental consideration and recreational motivation are less important than those utilitarian aspects

    Tingkatkan Penjualan Online Shopping di Agribisnis: Analisis Pengaruh Bauran Pemasaran dalam Perspektif Pemasaran Agribisnis

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    The online shopping market has become a significant global phenomenon, affecting various sectors of the economy, including agribusiness. Agribusiness, as one of the pillars in the food industry, has transformed in the face of this development. This study aims to analyze the influence of marketing mix on online shopping behavior in an agribusiness perspective. The results of this study provide valuable insights on how to increase online shopping sales in the agribusiness sector. In the digital age, a better understanding of how the marketing mix affects online consumer behavior is becoming the key to success. This research involves an in-depth analysis of the marketing strategies used in online agribusiness, providing a more comprehensive view of how agribusinesses can take advantage of opportunities in the online environment. With the insights gained from this study, agribusiness businesses can optimize their marketing strategies, adapt their products and services, and face increasingly fierce competition in the realm of online shopping. This study provides valuable guidance for agribusiness practitioners and stakeholders to respond to the challenges and opportunities that exist in the ever-evolving era of online shopping.Pasar online shopping telah menjadi sebuah fenomena global yang signifikan, memengaruhi berbagai sektor ekonomi, termasuk agribisnis. Agribisnis, sebagai salah satu pilar dalam industri makanan, telah bertransformasi dalam menghadapi perkembangan ini. Studi ini bertujuan untuk menganalisis pengaruh bauran pemasaran terhadap perilaku online shopping dalam perspektif agribisnis. Hasil penelitian ini memberikan wawasan yang berharga tentang cara meningkatkan penjualan online shopping di sektor agribisnis. Dalam era digital, pemahaman yang lebih baik tentang bagaimana bauran pemasaran memengaruhi perilaku konsumen online menjadi kunci sukses. Penelitian ini melibatkan analisis mendalam terhadap strategi pemasaran yang digunakan dalam agribisnis online, memberikan pandangan yang lebih komprehensif tentang bagaimana agribisnis dapat memanfaatkan peluang  dilingkungan online. Dengan pemahaman yang diperoleh dari studi ini, bisnis agribisnis dapat mengoptimalkan strategi pemasaran mereka, mengadaptasi produk dan layanan mereka, dan menghadapi persaingan yang semakin sengit dalam ranah online shopping. Studi ini memberikan panduan berharga bagi praktisi dan pemangku kepentingan agribisnis untuk menjawab tantangan dan peluang yang ada dalam era online shopping yang terus berkembang

    Identifying Key Factors influencing Internet Shopping Behavior for E-Satisfaction

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    With Internet shopping gaining more attention and momentum, a better understanding of the online consumer is now in the forefront of most retail strategies. The growth of online retailing or Internet shopping has provided the apparel industry with additional avenues to reach the consumer. Previous research has shown that consumers’ intent to purchase online is highly driven by their satisfaction. Studies have touted the growth of on-line shopping and the growing purchases of those with Internet access (Lin & Sun, 2009). In fact, apparel products have been consistently ranked as one of the most frequently purchased items through the Internet (Seckler, 2001). One of the drivers for the growth of Internet shopping is satisfaction [with online shopping]. There is a plethora of studies that provide empirical support to the relationship between satisfaction and purchase intention (Lin & Sun, 2009; George, 2002; Fenech & O’Cass, 2001). Meanwhile, studies on satisfaction specific to niche markets have been sporadic. One major theoretical model often utilized as the platform for online retail satisfaction studies is the Theory of Planned Behavior (TPB) (Ajzen, 1991). This model focuses on a person’s intention to perform a specific behavior based on his/her attitude [toward that specific behavior along] with the subjective norms and/or held by that person’s associates (Ajzen 1991). Among other authors, Yoh et al. (2003) and George (2002) have applied Ajzen’s theory to online shopping. But, what variables influence e-satisfaction? After two extensive pre-test surveys, a very large sample of students and community members were used to solicit and understanding of many variables on E-satisfaction. The regression analysis results indicate Experience and Shopping Innovation had the strongest effect on E-satisfaction while all other variables Interest, Perceived Usefulness, Attitude, Tactile Importance, and Convenience are significant. Results indicate that if consumers have positive predispositions and interests toward online shopping, then they are more likely to be satisfied with the shopping outcome. The analysis indicated that 60.1 percent of the variance in E-satisfaction was explained by the model’s independent variables, with a significant F-value of 176.63 (p\u3c.001). The regression analysis results indicate that all variables were significant. Experience and Shopping Innovation had the strongest effect on E-satisfaction having beta weights of .647 and .275 respectively, with both being significant at p\u3c.01. Interest, Perceived Usefulness, and Attitude were also significant with beta weights of .292, .196, and .185, respectively, with both being significant at p\u3c.01 also. Tactile Importance and Convenience are significant at p\u3c.05 with beta weights of -.073, and -.106. As expected most variables had the model’s hypothesized direction of the effect. However, contrary to what was expected, the direction and strength of Convenience was not captured in the data. Although recent research has been directed to Web retailing; there has been little research to examine issues related to consumer characteristics on niche product category with consumers knowledgeable in the category such as this. Internet shopping is an alternative to the traditional in-store environment. If consumers have positive predispositions and interests toward online shopping, then they are more likely to be satisfied with the shopping outcome. From a strategic point of view, the challenge is for marketers to engage its target in order to enhance positive attitudes and maintain their interest with the product. From a customer relationship management perspective, this will help in developing long-term relationships with customers when satisfaction is prevalent. Surprisingly, a negative effect of convenience on satisfaction was found. One plausible explanation for this finding may be related to the context of the niche product utilized in this study. That is, when dealing with a specialty product like hospital gowns, convenience may not be as important as it is to get the right customized product. The study has illustrated the benefit of incorporating constructs from the MIS field to examine retailing opportunities. Specifically, that Experience and Shopping Innovation are strong predictors of web retailing in an Internet mediated environment. As new retailing opportunities, such as wireless shipping, are offered to shoppers, of current technology, (i.e. smartphones), marketers may use this model and key antecedents to predict E-satisfaction which is an important determinant of purchase behavior

    An empirical investigation of the impacts of website quality on consumer loyalty: a case of baby boomers

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    Online shopping has become increasingly popular with sales of 263billionin2013anincreaseof36263 billion in 2013 an increase of 36% as compared to 2011 (www.Shop.org). However, consumer behavior that happens in the online channel is still under-researched due to the constant change that occur in the online channel (e.g., technological advances). The relationship between website quality, satisfaction, trust, and loyalty are not well understood. However, such relationships among website quality, satisfaction, trust and loyalty on an online environment are sparse, indicating a need to further understand whether such relationships exist in an online shopping environment. Such relationships are important because they may aid in better understanding online consumers’ decision-making process. In addition, while most studies relating to online retail focus on younger users because they are first to adopt technology, online shopping behavior of the baby boomers is not well understood. This study attempts to provide an update and further extends consumer behavior literature by simultaneously examining factors that influence consumer loyalty in the online environment specific to the baby boomer cohort. Thus, the purpose of the study is to propose and empirically examine an integrative model of consumer loyalty within an apparel online shopping context with baby boomer online users. Specifically, the study seeks to 1) examine the associations between website quality dimensions and overall perceived website quality; 2) examine the relationship among overall perceived website quality, consumer satisfaction, and trust; and 3)examine the associations between consumer satisfaction, trust, and consumer loyalty. The study’s conceptual framework is derived from four different research streams; website quality (Wolfinbarger & Gilly, 2003), satisfaction (Oliver, 1981), trust (McKnight, Choudhury, & Kacmar, 2002), and loyalty (Dholakia & Zhao, 2010). Data were collected via a self-administered questionnaire from an online panel called Amazon Mechanical Turk (mturk.com), which consists of panel members who agree to complete human intelligence tasks (HIT) that are requested by requestor. The survey was comprised of two qualifying questions indicating that those who participated in the final survey were a baby boomer and had purchased apparel online in the past six months. The study’s final sample consisted of 169 responses. The majority of participants were female (73%), employed full-time (56%), and had an annual household income of 30,001 - $60,000 (32%). A principal component factor analysis with varimax rotation was performed on website quality items (e.g., system quality). As a result, two factors were chosen for system quality (i.e., web appearance and interactivity); two factors were selected for information quality (i.e., security and informativeness); and two factors were chosen for service quality (i.e., fulfillment and responsiveness). Confirmatory factor analysis via LISREL 8.8 using maximum likelihood estimation was subsequently performed to confirm the factor structure of website quality. To test all hypothesized relationships, we followed a two-step structural equation modeling approach. Results revealed that system quality dimensions (web appearance and interactivity) did not positively impact overall perceived website quality. The information quality dimension of informativeness did positively impact overall perceived website quality but information quality dimension of security did not positively impact overall perceived website quality. Service quality dimension of fulfillment did not positively impact overall perceived website quality but service quality dimension of responsiveness did positively impact overall perceived website quality. In addition, results also showed that overall perceived website quality positively impacts trust, which in turn, influences loyalty in terms of WOM, repatronage intentions, and share of wallet. Furthermore, overall perceived website quality was found to positively influence satisfaction, but satisfaction was not found to positively influence trust. However, we only found that satisfaction positively influenced WOM and share of wallet but not repatronage intentions. Theoretical and managerial implications are provided. Limitations and future research directions are addressed

    The Impact of Experiential Augmented Reality Applications on Fashion Purchase Intention

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    Utilizing the stimulus-organism-response (SOR) model, the purpose of this study is to examine the effects of augmented reality (AR) (specifically augmentation) on consumers’ affective and behavioral response and to assess whether consumers’ hedonic motivation for shopping moderates this relationship. An experiment using the manipulation of AR and no AR was conducted with 162 participants aged between 18 and 35. Participants were recruited through snowball sampling and randomly assigned to the control or stimulus group. The hypothesized associations were analyzed using linear regression with bootstrapping. The paper demonstrates the benefit of using an experiential AR retail application (app) to positively impact purchase intention. The results show this effect is mediated by positive affective response. Furthermore, hedonic shopping motivation moderates the relationship between augmentation and the positive affective response. Because of the chosen research approach, the results may lack generalizability to other forms of augmentation. Therefore, researchers are encouraged to test the proposed model using different types of AR stimuli. Furthermore, replication of the study with other populations would increase the generalizability of the findings. Results of this study provide a valuable reference for retailers of the benefits of using AR when attempting to optimize experiential value in online environments. The study contributes to experiential retail and consumer purchase behavior research by deepening the conceptualization of the impact of experiential technologies, more specifically AR apps, by considering the role of hedonic shopping motivations.Peer reviewe

    The factors driving online shopping in Saudi Arabia: Gender differences and behavior

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    Purpose—This study proposes a revised technology acceptance model that integrates expectation confirmation theory to measure gender differences with regard to continuance online shopping intentions in Saudi Arabia. Design/Methodology—The 465-respondent sample consists of 68.8% women and 31.4% men. A structural equation model confirms model fit. Findings—Perceived usefulness, enjoyment, and subjective norms are determinants of online shopping continuance in Saudi Arabia. Both male and female groups are equivalent. The structural weights are also largely equivalent, but the regression paths from perceived usefulness to subjective norms and to continuous intention are not invariant between men and women. Originality—This research moves beyond online shopping intentions and includes factors affecting online shopping continuance. The research model explains 65% of the intention to continue shopping online. Research Implications—This research suggests that online strategies cannot ignore either the direct and indirect gender differences on continuance intentions in Saudi Arabia. The model can be generalized across Saudi Arabia
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