Relevant bibliographies by topics / Shopping intentions

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
  5. Reports

Academic literature on the topic 'Shopping intentions'

Author: Grafiati
Published: 4 June 2021
Last updated: 17 February 2022

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Journal articles on the topic "Shopping intentions"

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Apiraksattayakul, Chayada, Savvas Papagiannidis, and Eleftherios Alamanos. "Shopping via Instagram." International Journal of Online Marketing 7, no. 4 (October 2017): 1–20. http://dx.doi.org/10.4018/ijom.2017100101.

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This study presents an empirical investigation as to the key determinants of purchase intention towards clothing on Instagram. A conceptual model has been created, based upon the relevant literature and research questions of this study, which has subsequently been evaluated through a quantitative methodology. A convenience sample of 200 Thai customers was selected in order to complete the questionnaire. The accumulated data was analysed via multiple regression in order to test the study's hypotheses. The results suggest that four aspects contribute positively towards customer purchase intentions (perceived social value, perceived price value, perceived quality value and perceived benefits) while, in contrast, risk perceptions have been found to adversely impact upon customer purchase intentions. Two other aspects, perceived emotional value and electronic word of mouth, have been found to have no significant influence upon purchase intentions.
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Shoaib, Muneeza, and Hameedah Sayani. "Online Shopping." International Journal of Online Marketing 6, no. 4 (October 2016): 12–35. http://dx.doi.org/10.4018/ijom.2016100102.

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The study aims to investigate the perceptions of the UAE digital natives regarding web vendors, and online privacy and security, that in turn determine their online shopping intentions. Despite exponential growth in e-commerce in the GCC in general and UAE in particular, and favorable economic and demographic factors, research in this realm is sparse. This study attempts to fill this void. More than 200 respondents aged between 18-30 years are surveyed and data is collected on their perceptions regarding various characteristics of web vendors, online security and privacy, and online shopping intentions. Principal Component Analysis and Binary Logistic Regression is used for dimension reduction and to examine association between the extracted factors and intention to shop online for the target group, respectively. The results highlight the importance of establishing positive brand image and adapting effective and viable privacy protection mechanisms to motivate consumers to shop online and use payment mechanisms other than cash on delivery.
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Alharthey, Bandar. "The Role of Online Trust in Forming Online Shopping Intentions." International Journal of Online Marketing 10, no. 1 (January 2020): 32–57. http://dx.doi.org/10.4018/ijom.2020010103.

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The main focus of this study is to investigate the impact of online shopping trust towards online shopping intentions in the Kingdom of Saudi Arabia, while the online shopping experience of consumers will be assessed for moderation between attitudes and intentions. The nature of the study is quantitative and a correlational design has been selected for the study. Primary data is collected from a sample of 452 people having online experience in major cities of Saudi Arabia including Jubail, Riyadh, and Jeddah. SPSS and Smart PLS are used to run different statistical techniques to test the proposed model. The results of the study show that online trust positively impacts online shopping attitudes which in turn positively affect intentions, also online shopping experience of consumers has a positive impact as a moderator between online shopping attitude and online shopping intention.
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Babin, Barry J., David M. Hardesty, and Tracy A. Suter. "Color and shopping intentions." Journal of Business Research 56, no. 7 (July 2003): 541–51. http://dx.doi.org/10.1016/s0148-2963(01)00246-6.

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Riki, Riki. "FAKTOR-FAKTOR YANG MEMPENGARUHI KONSUMEN DALAM KEINGINAN BERBELANJA SECARA ONLINE." Jurnal Ipteks Terapan 11, no. 2 (August 2, 2017): 156. http://dx.doi.org/10.22216/jit.2017.v11i2.705.

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<p><em>This study aims to analyze the factors that influence consumers in online shopping intentions. Method for the sample selection is using purposive sampling and the population is taken from member forum of trade of Facebook and </em><em>Kaskus in regional Batam</em><em> by total sample as much 215 respondent. The research result shows that demographics characteristics of gender have significant influence to online shopping intentions. Age have partial significant influence to online shopping intentions, whereas education, income and marital status not significant influence to online shopping intentions. Meanwhile to the medium characteristics that are perceived ease of use has a significant influence to online shopping intentions but perceived usefulness not significant influence to online shopping intentions. Perceived risk result is significant influence to online shopping intentions. Furthermore, the type of product that is partial significant to online shopping intentions, which is contained in cost outlay significant influence to online shopping intentions but tangibility not significant influence to online shopping intentions.</em></p>
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Al-Maghrabi, Talal, and Charles Dennis. "The Factors Driving Continuance Online Shopping in Saudi Arabia." International Journal of Customer Relationship Marketing and Management 1, no. 2 (April 2010): 11–34. http://dx.doi.org/10.4018/jcrmm.2010040102.

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This study proposes a revised technology acceptance model that integrates expectation confirmation theory to measure regional differences with regard to continuance online shopping intentions in Saudi Arabia. Perceived usefulness, enjoyment, and subjective norms are determinants of online shopping continuance in Saudi Arabia. Women in the eastern, western, and central region groups are equivalent. The structural weights are also largely equivalent, but the regression path from perceived usefulness to enjoyment is not invariant between female shoppers in the eastern and western regions or in the eastern and central regions. This research moves beyond online shopping intentions and includes factors affecting online shopping continuance. The research model explains 60% of the intention to continue shopping online. Furthermore, this research suggests that online strategies cannot ignore the influence of either direct or indirect regional differences on continuance intentions; the model can be generalized across Saudi Arabia.
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VIJAYASARATHY, LEO R. "Shopping Orientations, Product Types and Internet Shopping Intentions." Electronic Markets 13, no. 1 (January 1, 2003): 67–79. http://dx.doi.org/10.1080/1019678032000039903.

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Dey, Dipanjan Kumar, and Ankur Srivastava. "Impulse buying intentions of young consumers from a hedonic shopping perspective." Journal of Indian Business Research 9, no. 4 (November 20, 2017): 266–82. http://dx.doi.org/10.1108/jibr-02-2017-0018.

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Purpose The purpose of this research paper is to examine predictors of impulsive buying intentions among youngsters from a hedonic shopping perspective. Recent theoretical work suggests that impulsive buying can function as a form of different hedonic shopping value dimensions such as fun, social interactions, novelty, escapism and outside appreciation. Design/methodology/approach The present research empirically tests a theoretical model of impulse buying intentions by examining the associations between hedonic shopping value dimensions and intentions in the presence of situational characteristics as moderators. A survey of 333 youngsters aged 15 to 23 is conducted using a structured questionnaire. Constructs are measured using established scales. Findings Results indicate that the impulsive buying intentions of youngsters are positively associated with all the five dimensions of hedonic shopping value. Situational characteristics of money and time availability positively moderate this relationship. Task definition negatively moderates the association between impulsive buying intention and hedonic shopping value dimensions. Research limitations/implications Two major theoretical implications result from this study. First, the study enabled the conceptualization of a theoretical framework of impulse buying intentions by including five dimensions of hedonic shopping value as important factors in young consumers’ impulse behavior buying intentions. Further, it includes the moderating effects of all the three aspects of situational characteristics in the same model. Practical implications The marketers can make use of the shopping value dimensions and the situational characteristics moderators to design and implement marketing strategies so that sales via impulse buying are maximized. Originality/value This study provides novel insights on the complex process of impulsive buying by youngsters by expanding the application of the hedonic shopping motives in the presence of situational factors as moderating variables.
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HEPTARIZA, ANITA. "The Effect of Attitude, Normal Subjective and Perceived Behavioral Control (Pbc) on Actual Purchasing Through Purchases of Online Purchase in The Online Retail Industry." Jurnal Ekonomi & Bisnis JAGADITHA 7, no. 1 (April 8, 2020): 9–17. http://dx.doi.org/10.22225/jj.7.1.583.9-17.

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Online shopping activities are currently growing. Online shopping activities are supported by the increasing number of Internet users. With the growing number of people who know the internet and along with the presence of Generation Z who was born in the digital age make the habit of spending goods and services slowly but surely have to switch online. One of the factors that affect online shopping is the intention of purchasing online. Theory of Planned Behavior (TPB) explains that consumer behavior is shaped by attitudes, subjective norms, and perceived behavioral control (PBC) that form the intention of online purchasing. This study aims to analyze the effect of attitudes on online purchase intentions, to analyze the effect of subjective norms on online purchasing intentions, to analyze the effect of PBC on online purchase intentions and to analyze the effect of online purchase intentions on actual purchases. The research was conducted at Prama Sanur Beach Hotel. The technique of data collection used are observation, interview, documentation, questionnaires. Data analysis technique using quantitative analysis with PLS program. The results show that attitudes have a positive and significant influence on the intentions of online purchasing. Subjective norms have a positive but insignificant effect on online purchase intentions. Perceived Behavioral Control (PBC) has a positive and significant effect on online purchasing intentions, and online purchase intentions have a positive and significant effect on actual purchases. Keywords: Attitude, Subjective Norm, Perceived Behavioral Control (PBC), Intention Online Purchase, Actual Purchase.
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Ghazali, Ezlika M., Dilip S. Mutum, Jiu Hui Chong, and Bang Nguyen. "Do consumers want mobile commerce? A closer look at M-shopping and technology adoption in Malaysia." Asia Pacific Journal of Marketing and Logistics 30, no. 4 (September 10, 2018): 1064–86. http://dx.doi.org/10.1108/apjml-05-2017-0093.

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PurposeMobile shopping is expected to emerge as a new way of shopping as the Asia Pacific region moves towards the digital era. It is important to understand factors that influence consumers’ intentions to adopt this new shopping channel, especially in developing countries such as Malaysia where it has the fastest growing mobile penetration rate in the world. The purpose of this paper is to integrate the Technology Acceptance Model (TAM) and the Theory of Planned Behaviour (TPB), and includes additional variables such as personal innovativeness (PI) and trust.Design/methodology/approachEmpirical data from 453 consumers were tested against a proposed model using partial least squares structural equation modelling.FindingsFindings suggest that most of the constructs in the model (i.e. trust, perceived ease of use, perceived usefulness, attitudes, PI and perceived behavioural control) influence a shopper’s intentions towards adopting mobile shopping. For example, consumers’ attitudes towards M-shopping adoption is higher if a system is not complex and easy to use; if consumers can easily pull out their mobile devices from their pockets to browse or shop by using just one finger, without a complicated process, they tend to use M-shopping channels. In addition, when mobile technology is user-friendly and free from mental effort, it creates positive perceptions that the system is useful, developing stronger intentions for consumers to adopt this alternative.Originality/valueSince M-shopping is a personalised activity that involves money transactions, consumers are more cautious with adoption intentions, and do not follow social norms blindly. Thus, the empirical evidence from Malaysian consumers contributes to literature with insights into their specific m-shopping behaviour in this emerging market. In addition, from a theoretical perspective, the research model in this study integrates both TAM and TPB to provide a holistic view of consumers’ M-shopping adoption intentions in an emerging market, incorporating user-centric factors (i.e. trust and PI). An important finding which differs from other studies is that the relationship between subjective norms and behavioural intention to use M-shopping was not significant, which is contrary to the findings of previous studies. Moreover, attitude was found to mediate the effect of PEOU and PU on consumer’s intention towards mobile shopping adoption. The validated instrument would serve as a useful guideline for researchers during development and refinement of studies on M-shopping.
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Dissertations / Theses on the topic "Shopping intentions"

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Kumar, Shefali. "Consumers' Behavioral Intentions Regarding Online Shopping." Thesis, University of North Texas, 2000. https://digital.library.unt.edu/ark:/67531/metadc2634/.

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This study investigates the consumers' intention towards Internet shopping. The Theory of Planned Behavior is used to predict behavioral intention (BI), which is a function of attitude, subjective norm, and perceived behavioral control (PBC). The effects of demographic and personal variables on BI are also examined. Data analysis (n = 303) indicates that attitude, subjective norm, perceptions of behavioral controls, and previous purchases are significant predictors of behavioral intention. Product/Convenience, Customer Service (attitude factors), Purchase and Delivery, Promotional Offers, Product Attribute (factors of PBC), subjective norm, hours spent online, money spent online, and previous purchases discriminate respondents of high BI from low BI. Behavioral intention of shopping online is highest for Specialty Products followed by Personal, Information Intensive, and Household Products.
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Cheung, Jenny. "Exploring consumers' experiential responses and shopping intentions toward visual user-generated content in online shopping environments." Thesis, University of Manchester, 2015. https://www.research.manchester.ac.uk/portal/en/theses/exploring-consumers-experiential-responses-and-shopping-intentions-toward-visual-usergenerated-content-in-online-shopping-environments(d1f610ba-418f-43b1-9e6a-68f43dc38ec0).html.

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The purpose of this study is to explore online consumers' experiential response towards visual user-generated content in online shopping environments for fashion online shopping. The Stimulus-Organism-Response (S-O-R) framework has been widely used in online shopping environment studies to examine the effect of website attributes on online shoppers' internal affective and cognitive states, and shopping behaviour (Kawaf and Tagg, 2012). Recent literature in the field proposes a more holistic approach towards online experiences (e.g., Pentina, Amialchuk, and Taylor, 2011) which is conceptualise to mediate the relationship between website attributes and behavioural responses. Consumer experiences are considered to be a critical concept in consumer behaviour and marketing for understanding consumers and to create competitive advantage in online retailing (Schmitt, 2010). Building on existing online shopping environment research, the study conceptualises online experiences for fashion online. This study seeks to investigate online consumers' experiential responses (aesthetics, relational, emotional, Flow experience and interactivity) towards two visual user-generated stimulus: (1) Looks - photographs of individuals modelling their own fashion, and (2) Outfits - digital collages displaying an assortment of products centred around a theme. They are both features which have been created by community members in an online social shopping community, ASOS Fashion Finder. The context of this study was exploratory and utilised a mixed methods approach where 13 photo-elicited interviews (PEI) with female online shoppers of ASOS, aged 18-34, were conducted to identify and understand consumers' online experiential responses and online shopping intentions towards the two visual stimulus. Using the same sample criteria, an online survey with 555 responses was also conducted to measure and test relationships between consumers' experiential responses and shopping intentions. The results of this study provides insight to the experiential states of fashion online consumers for online retail marketing, and contributes knowledge to research literature and theory on online shopping environments and customer experiences.
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Broekhuizen, Thijs Lennart Jaap. "Understandig channel purchase intentions: measuring online and offline shopping value perceptions." [S.l. : [Groningen : s.n.] ; University Library Groningen] [Host], 2006. http://irs.ub.rug.nl/ppn/291151698.

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Cole, Larinda L. "The Effects of Visual and Written Fit Information on Plus-size Women's Perceived Fit Risk, Purchase Intention, and Loyalty intentions in Internet Apparel Shopping." Thesis, Virginia Tech, 2009. http://hdl.handle.net/10919/31397.

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Within the last few years, retail sales have averaged an annual growth of about 4% with electronic commerce retail sales averaging an increase of over 20% per year (U.S Census Bureau, 2008). The e-commerce retail sector of apparel, accessories, and footwear reached $18.3 billion in sales and ranked as a top selling category (Shop.org, 2007). A growing apparel market with strong buying power is the plus-size clothing industry with approximately $32 billion in sales in 2005, and an average of about a 10% growth rate each year (Yadegaran, 2006). Despite the growth in the industry, little empirical research has been conducted regarding plus-size Internet apparel shoppers. Additionally the field lacks research that focuses on garment fit for the plus-size market.

The purpose of this study was to examine the effects of product presentation factors, visual fit information (size of model photographed) and written fit information (fit related product description), on plus-size womenâ s perceived fit risk, purchase intention, and loyalty intentions in Internet apparel shopping. This study employed a 2 x 2 between subjectsâ factorial design: visual fit information (plus-size model vs. non plus-size model) by written fit information (more elaborate vs. less elaborate). Four mock web pages were created to closely mimic the design of a true plus-size Internet apparel retailer. Each web page presented a model wearing the same dress for plus-size women and a written product description. The stimuli consisted of an identical dress in color and style, presented on both a plus-size model and a non plus-size model, and similar written fit information with more detailed information about garment style, garment dimensions, and fit editorial presentation for more elaborate stimuli. One hundred fourteen women between the ages of 19 and 64 participated in this study for incentives such as a free plus-size apparel gift-card, using snowball sampling method.

Using descriptive statistics, multivariate analyses of variance and univariate analyses of variance, the present research showed (1) no main effects of visual fit information on perceived fit risk, purchase intention, and loyalty intention, and (2) no main effects of written fit information on perceived fit risk, purchase intention and loyalty intention. The study added valuable empirical findings to the literature on the relationship between fit related information and perceived fit risk, purchase intention and loyalty intention among plus-size Internet apparel shoppers.
Master of Science

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Noh, Mijeong Warfield Carol L. "Consumers' prior experience and attitudes as predictors of their online shopping beliefs, attitudes, and purchase intentions in a multichannel shopping environment." Auburn, Ala, 2008. http://repo.lib.auburn.edu/EtdRoot/2008/FALL/Consumer_Affairs/Dissertation/Noh_Mijeong_24.pdf.

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Wynn, Amanda. "An Investigation of the Contributions of Gender, Shopping Orientation, Online Experience, and Website's Interactive Features to Consumers' Intentions to Engage in Apparel E-commerce Shopping." NSUWorks, 2009. http://nsuworks.nova.edu/gscis_etd/340.

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E-commerce has experienced exponential growth within the last few years. The rapid growth of e-commerce has created a need to improve consumer acceptance and the consumer's intention to engage in e-commerce. Female consumers have yet to embrace e-commerce as readily as male consumers. Differences between male and female consumer shopping behavior were examined. This study developed and empirically tested a model to predict the consumer's intention to engage in apparel e-commerce shopping based on the constructs of gender, shopping orientation, online experience, and Website's interactive features. Male and female U.S. consumers age 18 and older were surveyed to determine their intention to engage in apparel e-commerce shopping. A total of 240 responses were received. After the pre-analysis data screening, a total of 216 responses were available for further analyses. Factor analysis was conducted by using principal component analysis (PCA) with VARIMAX rotation. The PCA resulted in four new factors including consumer shopping preference (CSP), personalization Website features (PWF), shopping environment (SE), and social interaction (SI). The statistical method Ordinal Logistic Regression (OLR) was used to predict whether gender (G1), CSP, PWF, SE, and SI have a significant influence on the consumer's intention to engage in apparel e-commerce shopping. Results of the OLR indicated that CSP was the only significant predictor of INT. A second OLR model was developed to determine the interaction effect of G1, CSP, PWF, SE, and SI used to predict the probability of INT. Results indicated the interactions of G1 and CSP, CSP and PWF, G1 and PWF, as well as SE and SI were significant predictors of INT. Two important contributions of this study include 1) an investigation of the key constructs that contribute to the consumer's intention to engage in apparel e-commerce shopping, and 2) an investigation of the interaction effect between the key constructs used to predict the consumer's intention to engage in apparel e-commerce shopping. The investigation results provide online retailers with the knowledge of how to increase e-commerce acceptance through understanding differences in male and female consumer shopping behaviors.
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Radaciova, Romana, and Alexandra Klacanova. "To try on or send back? Shopping in post-pandemic times : Exploratory study of pandemic effects on consumer behaviour." Thesis, Umeå universitet, Företagsekonomi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-184366.

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As the pandemic of COVID-19 is still affecting peoples’ lives in various ways, it is not surprising that it affects consumer behaviour as well. This paper focuses on the changes in consumer behaviour, more specifically on the changes in consumer shopping channel preferences due to the pandemic. Furthermore, it was of interest whether these changes are likely to be long-term, and influence consumer shopping behaviour in the corona-free future. To answer the research question: “How did the pandemic affect consumers’ preferred shopping channels, and are those changes long-term?” a qualitative study was conducted. The study consisted of ten interviews, five of which were with consumers who spent most of the pandemic in Sweden, and five with respondents who spent most of the pandemic in Slovakia. This way, the study compares the responses and thus changes in consumer shopping behaviour and channel preferences of consumers who have experienced different levels of restrictions and recommendations as a response to the pandemic. Indeed, Slovakia’s response to the corona pandemic was much more severe and included much more, longer-lasting, restrictions affecting/restricting consumer shopping.   The study showed that despite the countries adopting very different responses to the pandemic, the consumers changed their shopping behaviour in a rather similar way. Most of the respondents stated that they started shopping less due to the pandemic and that they shopped more online. The main reasons for these developments were (1) reduced need for new clothing during the corona pandemic, (2) stores being closed, and/or (3) consumers trying to reduce their contact with others and keep their distance. However, when asked whether these changes in their behaviour are going to persist into the far future, the responses differed. A portion of respondents stated they will continue to shop online more than prior to the pandemic, while still shopping in traditional, offline, stores as well. Some other respondents, however, stated that they will return to in-store shopping as soon as possible. From these findings, it is clear that shopping for clothes via offline channels will still be important and preferred by many, despite the rise of technologies and online shopping possibilities.   The study contributes to the literature on the corona pandemic and its effects on consumer behaviour, the field of consumer behaviour in general, consumer shopping channel preferences, channel switching intentions, omnichannel literature, and the online shopping literature.
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ERIKSSON, CAROLINA, and LUCINDA EDWARDS. "Second-hand Clothing Online : A study of Swedish consumer purchasing intentions." Thesis, Högskolan i Borås, Institutionen Textilhögskolan, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-18134.

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This study looks to better understand Swedish consumer purchasing intentions in the online second-hand clothing industry. This study examines factors affecting consumers’ intentions to purchase second-hand clothing online, as well as investigating how gender and a person’s general fashion involvement affects their purchasing intention.
Program: Textile Management, Fashion Management
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Thombre, Avantika. "The Influence of Interactivity and Online Store Atmospherics of a 3-D Retail Store in Second Life on Consumer Purchase Intentions." Thesis, University of North Texas, 2011. https://digital.library.unt.edu/ark:/67531/metadc84289/.

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Second Life, a 3-D virtual world, has evolved as a shopping channel for both consumers and retailers. This channel of retailing offers interactive environment, allows designing atmospherics, and provides enjoyable shopping experience as compared to website stores. The purpose of the study was: (1) to identify the key features of Second Life stores and (2) to determine the relationship of the Second Life store features with consumer purchase intentions. The online survey was administered in Second Life by an external research agency, and 249 usable surveys were collected. The data were analyzed utilizing factor analysis and regression. Three key features of Second Life stores were explored in this study. These three features were: (1) interactivity via the two components of two-way communication and active control, (2) store atmospherics, and (3) shopping enjoyment. Regression analysis showed that shopping enjoyment and two-way communication (i.e., the presence of an avatar sales representative) were significant predictors of purchase intention in Second Life stores, while active control and store atmospherics did not influence purchase intentions.
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Karam, Marian T. "Facebook Brand Page: an Exploratory Study of Facebook Brand Page Attributes and Their Influence on Purchase Intentions." Thesis, University of North Texas, 2013. https://digital.library.unt.edu/ark:/67531/metadc407753/.

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This study explored attributes of a Facebook brand page (FBP). Seven variables were derived from the framework and applied to FBPs. The goals of this research were to discover which attributes contribute to a successful FBP, determine which attributes increase purchase intentions, and help marketers determine where to focus their efforts. A total of 421 surveys were gathered from men and women ages 18 and older. The methods of this research included factor analysis and multiple regression analysis. Results yielded two loading factors for the trustworthiness variable and supported hypotheses of trustworthiness increasing purchase intentions. It was also discovered that participation positively influences purchase intentions. It is advised that information content be monitored to avoid information overload.
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Book chapters on the topic "Shopping intentions"

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Lim, Chae Mi, and Youn-Kyung Kim. "Luxe-Bargain Shopping: Relationships Among Perceived Values, Satisfaction, and Future Intentions." In The Sustainable Global Marketplace, 337. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10873-5_193.

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Zhu, Quan, and Janjaap Semeijn. "Antecedents of Customer Behavioral Intentions for Online Grocery Shopping in Western Europe." In European Retail Research, 1–19. Wiesbaden: Springer Fachmedien Wiesbaden, 2014. http://dx.doi.org/10.1007/978-3-658-07038-0_1.

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Jensen, Jan Møller. "Travellers’ Intentions to Purchase Travel Products Online: The Role of Shopping Orientation." In Advances in Tourism Economics, 203–15. Heidelberg: Physica-Verlag HD, 2009. http://dx.doi.org/10.1007/978-3-7908-2124-6_13.

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Brock, Christian, Markus Blut, Marc Linzmajer, Björn Zimmer, and Gopalkrishnan R. Iyer. "An Empirical Examination of Drivers Impacting Usage Intentions of Social Media Shopping." In Marketing Challenges in a Turbulent Business Environment, 225–26. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-19428-8_58.

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Shirdastian, Hamid, and Michel Laroche. "Motivations for Shopping Channel Preferences and Purchase Intentions: The Moderating Role of Involvement (A Structured Abstract)." In Creating Marketing Magic and Innovative Future Marketing Trends, 705–12. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-45596-9_137.

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Su, Bo-chiuan, Li-Wei Wu, and Ju-Ching Hsu. "Social Commerce: The Mediating Effects of Trust and Value Co-creation on Social Sharing and Shopping Intentions." In HCI in Business, Government and Organizations, 131–42. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77750-0_9.

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Park, Seolwoo. "What Attracts You to Shopping Malls?: The Relationship Between Perceived Shopping Value and Shopping Orientation on Purchase Intention at Shopping Malls in Suburban Areas." In Celebrating America’s Pastimes: Baseball, Hot Dogs, Apple Pie and Marketing?, 663–69. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-26647-3_135.

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Kentistos-Rannos, Theodoros, and Prodromos D. Chatzoglou. "Comparison Shopping Websites and Their Impact on Consumers’ Purchase Intention." In Strategic Innovative Marketing, 179–85. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56288-9_25.

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Marriott, Hannah R., and Michael D. Williams. "Enhancing the Customer Experience: Understanding UK Consumers’ M-Shopping Adoption Intention." In Developments in Marketing Science: Proceedings of the Academy of Marketing Science, 141–50. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99181-8_51.

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Patanasiri, Attasit, and Donyaprueth Krairit. "A Conceptual Model of Consumers’ Purchase Intention on Different Online Shopping Platforms." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 116–25. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-06152-4_10.

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Conference papers on the topic "Shopping intentions"

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Wang, Shoujin, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet Orgun, and Longbing Cao. "Intention2Basket: A Neural Intention-driven Approach for Dynamic Next-basket Planning." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/323.

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User purchase behaviours are complex and dynamic, which are usually observed as multiple choice actions across a sequence of shopping baskets. Most of the existing next-basket prediction approaches model user actions as homogeneous sequence data without considering complex and heterogeneous user intentions, impeding deep under-standing of user behaviours from the perspective of human inside drivers and thus reducing the prediction performance. Psychological theories have indicated that user actions are essentially driven by certain underlying intentions (e.g., diet and entertainment). Moreover, different intentions may influence each other while different choices usually have different utilities to accomplish an intention. Inspired by such psychological insights, we formalize the next-basket prediction as an Intention Recognition, Modelling and Accomplishing problem and further design the Intention2Basket (Int2Ba in short) model. In Int2Ba, an Intention Recognizer, a Coupled Intention Chain Net, and a Dynamic Basket Planner are specifically designed to respectively recognize, model and accomplish the heterogeneous intentions behind a sequence of baskets to better plan the next-basket. Extensive experiments on real-world datasets show the superiority of Int2Ba over the state-of-the-art approaches.
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Kim, Shina, Wei Jiang, and Eunha Chun. "A STUDY ON THE SHOPPING VALUES, ATTITUDES AND BEHAVIORAL INTENTIONS OF CHINESE CONSUMERS TOWARD CROSS-BORDER SHOPPING." In Bridging Asia and the World: Global Platform for Interface between Marketing and Management. Global Alliance of Marketing & Management Associations, 2016. http://dx.doi.org/10.15444/gmc2016.03.09.04.

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Yolanda, Mike, and Hesti Maria Putri. "Analysis of Factors That Affect the Repurchase Intentions on Online Shopping Sites." In Sixth Padang International Conference On Economics Education, Economics, Business and Management, Accounting and Entrepreneurship (PICEEBA 2020). Paris, France: Atlantis Press, 2021. http://dx.doi.org/10.2991/aebmr.k.210616.085.

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"ANALYZING COMPLAINT INTENTIONS IN ONLINE SHOPPING - The Perspective of Justice, Technology and Trust." In 8th International Conference on Web Information Systems and Technologies. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0003880705110517.

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Ye, Naiyi, and Yinchen Ye. "Consumers' Perceived Services and the Impacts on Attitudes and Behavior Intentions in Internet Shopping." In 2007 International Conference on Service Systems and Service Management. IEEE, 2007. http://dx.doi.org/10.1109/icsssm.2007.4280115.

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"UNDERSTANDING DETERMINANTS OF COMPLAINT INTENTIONS IN ONLINE SHOPPING - The Perspectives of Justice and Technology." In 7th International Conference on Web Information Systems and Technologies. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003311904730479.

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He, Jing, and Yun Bai. "Assessing the Relationship among Service Quality, Customer Satisfaction and Behavioral Intentions in Online Shopping Environments." In 2011 Fourth International Conference on Business Intelligence and Financial Engineering (BIFE). IEEE, 2011. http://dx.doi.org/10.1109/bife.2011.26.

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"Personality and Online Shopping Outcomes: A Study of Young Adult Chinese Consumers [Abstract]." In InSITE 2018: Informing Science + IT Education Conferences: La Verne California. Informing Science Institute, 2018. http://dx.doi.org/10.28945/4050.

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Aim/Purpose: This study focuses on the role of personality in online shopping through analyzing its relationship with customer reported shopping outcomes and their satisfaction. Background: Customer satisfaction and outcomes in online shopping have been well-documented. From different perspectives, past research has analysed factors related to customer satisfaction, and to outcomes to a lesser extent. Personality has also been found to be a factor relevant to the intention of online shopping. However, research has seldom investigated the role of personality in customer reported outcomes and their satisfaction with online shopping. Methodology: Quantitative data were obtained through an online questionnaire survey. The survey included questions about respondents’ satisfaction with their general online shopping experience. It also asked respondents to report the perceived outcomes of online shopping in terms of enjoyment, quality, savings, etc. Shoppers reported their personality using questions around Big Five Personality Traits. 384 Chinese living in China completely responded to the survey and were included in this study. Contribution: A research model is established that includes the respondents’ five personality traits, online shopping satisfaction, and outcomes of online shopping. Findings: Structural equation modelling analysis of the model shows that personality has direct relationship with customer satisfaction and their reported outcomes of online shopping, which in term influence shoppers’ future intention to shop online. Specifically, personality of agreement, extraversity, and neurotics are significantly related to online shopping outcomes, while only extraversity is significantly related to their satisfaction. Recommendations for Practitioners: For practitioners who work in online shopping, this study may help them understand how customers satisfaction is predetermined by their personality traits. Recommendation for Researchers: Researchers may find ways to help individuals understand and control consumers' personal behavior in online shopping. Impact on Society: This study may bring awareness of the importance of understanding personality traits for business and consumers in online shopping. Future Research: Future research may find ways to have influence on both business through their online consumer interface and on consumers through their behavior control.
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Chen, Wen-Kuo, Pei-Chu Hung, Pi-Ying Hsu, and Szu-Ting Liu. "The influence of shopping values on consumers' behavioral intention on m-shopping." In the 10th International Conference. New York, New York, USA: ACM Press, 2019. http://dx.doi.org/10.1145/3306500.3306564.

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Kang, Chuen-Roan, Ming-Chien Hung, Shih-Ting Yang, Ting-Chu Hsieh, and Shung-Ming Tang. "Factors affecting the continued intention of mobile shopping." In EM). IEEE, 2010. http://dx.doi.org/10.1109/ieem.2010.5674612.

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Reports on the topic "Shopping intentions"

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Turner, Thomas F., Michelle Childs, and Kittichai Watchravesringkan. A Comparative Study between Athletic and Non-Athletic Consumers:Consumer Decision-Making Styles, Shopping Channel Choices, and Purchase Intentions. Ames: Iowa State University, Digital Repository, 2013. http://dx.doi.org/10.31274/itaa_proceedings-180814-547.

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