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Purpose
– Psychological perspective has been omitted or considered a secondary issue by past studies focused on e-commerce recommendation systems (RS). However, this perspective is key to gaining a better understanding of consumer behaviours when these systems are used to support purchasing processes at online stores. The paper aims to discuss thes...
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The COVID-19 pandemic threats and its subsequent restrictions on people's freedom, social interaction, closures of workplaces and shopping stores have caused public psychological reactance. In response, the study develops and tests a conceptual framework, which unveils the effects of perceived choice hesitation and perceived choice confidence on co...
Citations
... Psychological reactance is stimulated when the recommender system did not acquire necessary factors to limit audiences' threat during the recommendation [8]. Te recommender system users feel that their autonomy is threatened by the recommendation of the system which causes them to experience psychological reactance [9]. Psychological reactance trigger irritation, anger, and annoyance that will not allow the autonomy of the system users which then causes defection towards decision making and the recommendation of the system. ...
A recommender system is an information selection system that offers preferences to users and enhances their decision-making. Tis system is commonly implemented in human-computer-interaction (HCI) intervention because of its information fltering and personalization. However, its success rate in decision-making intervention is considered low and the rationale for this is associated with users' psychological reactance which is causing unsuccessful recommender system interventions. Tis paper employs a computational model to depict factors that lead to recommender system rejection by users and how these factors can be enhanced to achieve successful recommender system interventions. Te study made use of design science research methodology by executing a computational analysis based on an agent-based simulation approach for the model development and implementation. A total of sixteen model concepts were identifed and formalized which were implemented in a Matlab environment using three major case conditions as suggested in previous studies. Te result of the study provides an explicit comprehension on interplaying of recommender system that generate psychological reactance which is of great importance to recommender system developers and designers to depict how successful recommender system interventions can be achieved without users experiencing reactance and rejection on the system.
... Social influence can be seen from various sides, such as product rating [32]. The majority of customers choose products that are often used in the surrounding environment and also products that are recommended by influencers in the social environment [33] [34]. ...
The completeness of features provided by each E-Commerce is one of the criteria for buyers in determining where to make transactions. One of the features that attract the attention of buyers is the product recommendation feature. The difficulty of E-Commerce in implementing a product recommendation system is due to the large amount of information that is processed when filtering data in the recommendation process, especially recommendations for cultural products. This problem affects the cultural product recommendations given to be incompatible with the interests of each buyer. In this study, an analysis was carried out to develop a conceptual model to provide recommendations for cultural products using hyper-personalization. Systematic mapping and literature review were carried out to develop the model. The result of this study was the conceptual model that had been developed, that was expected to illustrate cultural product recommendation to increase buyer interest. This study was expected to help other research to gain insight, especially researchers who focused on examining the impact of product recommendation on buyer interest.
... perceived e-vendor performance (Martínez-López et al., 2015). ...
Flow has been regarded as an important phenomenon for understanding and delivering compelling experiences to consumers when using computer‐mediated services. Despite the importance of flow in the delivery of computer‐mediated services in computer‐mediated environments, little attention has been devoted to evaluating the status of research and consolidating the findings in the literature. As there is an ongoing debate, concerning the nature of flow, its structure, antecedents and consequences in computer‐mediated environments, the need to understand the literature on flow in these environments becomes more relevant. This study synts the flow literature in computer‐mediated environments by systematically reviewing 137 peer‐reviewed journal articles published across 23 years. We showcase the current state of flow literature and provide (a) general knowledge, (b) methodological and (c) research model structural information of published studies (structure, antecedents and consequences of flow). The review concludes with identification of current gaps, future research directions and their managerial implications in computer‐mediated environments.
... However, perceived value is the greatest trait of psychological factors that affects the decision of online buying the most. On the other hand, Martínez-López, et al. (2015) stated in "Consumers' psychological outcomes linked to the use of an online store's recommendation system" that, if a consumer has a shopping goal in his/her head and the e-vendor recommends the same thing too, it might not have a direct effect on that online purchase but it can have impact on the add-on shopping recommended by the e-vendor. It leads us to the fact that psychological factors directly influence online buying behaviour. ...
... The results contradicted with the literature and prior studies done by Yuan Xu et al. (2015), Ariffin et al. (2018), Akroush et al. (2015). However, the last hypothesis which is that psychological factors such as trust are positively related or associated with the online buying behaviour was supported and accepted as per the test results supporting the prior studies done by Singh et al. (2019); Xiao et al., (2016); Martínez-López, et al. (2015); Azam (2015). ...
... Similarly, the psychological factors tend to be connected with the consumer's online buying behaviour. Prior studies (Singh et al., 2019;Martínez-López, et al., 2015;Azam 2015) suggested that there are various psychological factors that can lead towards online buying behaviour. A few of them are perceived value of the product, personality traits of the consumer, peer pressure, and many more. ...
Purpose-The motive of this study is to find out the determining factors that encourage and influence the online buying behaviour amongst consumers. In a world where everything is available on the internet and everything is becoming digitised, developing and emerging markets are still behind the developed markets and need to measure up to them in order to stand out. There are various factors that influence online buying behaviour amongst consumers, but this study will focus only on those producing the most impact. Design/Methodology/Approach-This study is based on a quantitative approach, as it helps in testifying and applying the hypothesis. It is a correlation study where it aims to find out the relationship between the variables. The statistical tool used in this study is SPSS and the tests that have been applied were Multiple Regression Analysis and Reliability Analysis. The sample size is 350 and the targeted audience are people living in Malaysia from age 18 and above. Findings-The findings of this study suggest that the hypotheses are accepted and the literature review provided as per the earlier studies is consistent with the hypothesis of our study, which states that perceived benefit and psychological factors (such as security, privacy, and trust) have a direct and significant relationship with online buying behaviour; on the contrary, perceived risks have an inverse and negative relationship with online buying behaviour. Research Limitations/Implications-This study is only applicable in a Malaysian context, as the demographics and economic situation of the market was kept to these conditions while doing this research. Also, the sample of size does not International Journal of Innovation, Creativity and Change. www.ijicc.net Volume 8, Issue 8, 2019 223 necessarily cover every individual in the Malaysian context. The results might vary. Furthermore, this study is beneficial for the marketers and the business managers of e-commerce websites. Also, it should be used as an example for teaching students of business to demonstrate the e-commerce and online shopping behaviour influencing factors, as our future is based on the whole new digital world.
... Arguably, losing user trust or decreasing RS acceptance could hurt an online shop more than most of the undesired effects on sales diversity (Clemons et al., 2016;Köster et al., 2016). Therefore, users' behavioral and psychological outcomes need to be monitored (Martínez-López et al., 2015). In addition to that, we should not forget that directly affecting sales diversity might not be the primary goal of most online shops employing RS, it might rather be a side issue and their primary focus is affecting profit or revenue figures, also by taking into account opportunities for cross-selling through RS (Zhu et al., 2018). ...
Purpose
The purpose of this paper is to explore the effects of online recommender systems (RS) on three types of diversity: algorithmic recommendation diversity, perceived recommendation diversity and sales diversity. The analysis distinguishes different recommendation algorithms and shows whether user perceptions match the actual effects of RS on sales.
Design/methodology/approach
An online experiment was conducted using a realistic shop design, various recommendation algorithms and a representative consumer sample to ensure the generalizability of the findings.
Findings
Recommendation algorithms show a differential impact on sales diversity, but only collaborative filtering can lead to higher sales diversity. However, some of these effects are subject to how much information firms have about users’ preferences. The level of recommendation diversity perceived by users does not always reflect the factual diversity effects.
Research limitations/implications
Recommendation and consumption patterns might differ for other types of products; future studies should replicate the study with search or credence goods. The authors also recommend that future research should move from taking a unidimensional measure for the assessment of diversity and employ multidimensional measures instead.
Practical implications
Online shops need to conduct a more comprehensive assessment of their RS’ effect on diversity, taking into account not only the effects on their sales distribution, but also on users’ perceptions and faith in the recommendation algorithm.
Originality/value
This study offers a framework for assessing different forms of diversity in online RS. It employs various recommendation algorithms and compares their impact using not just one but three different types of diversity measures. This helps explaining some of the contradictious findings from the previous literature.
... Consumer action and item recommendation are important subjects in recommender system field. From marketing perspectives, consumers are the focus of attention in order to provide decision making and influence to buy [16] [17]. Thus, recommender system has role to provide recommendations by understanding consumers preferences, their situation and location [18]. ...
Recommender systems have been widely researched in many applications especially in e-commerce services with the aim to make clear and easy communication between consumer and provider. Simple examples of Recommender systems would include personal and commercial recommendation for the purchase of everyday goods. However, previous studies have not included high order matrix calculation to estimate consumer parameters, e.g., customer behavior, location and their purchase preferences such as those in the field of business online commerce. This study extends the use of Candecomp Parafact algorithm when applied to recommender system to understand consumer preferences. In addition, it is also aimed to produce bilinear models which are constant and stable so that localization can be done to provide more accurate results. As an example the research provides a model based on tensor theory for restaurant and menu selection by analyzing the customer and restaurant parameters.
... SNS members generate perceived similarities by comparing and sharing commonalities such as beliefs, interests, or values (Casaló et al., 2013). A SNS member builds up a socially interactive relationship with the community and, from a psychological perspective, goes on developing a long-term intimate relationship (Martínez-López et al., 2015;Muniz and O'Guinn, 2001). A SNS member creates a psychological perception toward the community through the social network and generates a sense of belonging toward community reliance. ...
Purpose – This paper explores the relationships among cognitive-based trust, affect-based trust, sense of belonging, self-image congruity, perceived community-brand similarity, and information intention in the context of Taiwanese social networking brand sites.
Design/methodology/approach - This study uses specific metrics to measure construct items. The respondents have used or currently use the Facebook Apple fan page for more than three months. This study conducts the online survey of mySurvey through the website and provides respondents with convenience store coupon rewards to increase the response rate. This study collects 319 samples with 242 valid samples and uses a structural equation modeling to test the research hypotheses.
Findings - The results confirm that cognitive-based trust has a significant and positive effect on affect-based trust. Cognitive-based trust and affect-based trust have significant and positive effects on sense of belonging, self-image congruity, and perceived community-brand similarity, respectively. In addition, sense of belonging and perceived community-brand similarity have significant and positive effects on intention to give information, intention to obtain information, and intention to pass information, respectively. Self-image congruity only has significant and positive effects on intention to obtain information and intention to pass information.
Practical implications - SNS members are eager to participate in e-WOM activities via affection and social interaction, care for each other, and a feeling of concern. SNS managers should focus on members’ interaction content and processes to foster long-term relationships and create value propositions. Managers need to use innovative online platforms to maintain communication and interaction in order to: i) provide cognitive trust among members; ii) acquire members’ trust; iii) retain members; and iv) enhance members’ connectivity. A main strategic concern should consist on maintaining relevant information to provide appropriate incentives for SNS managers to facilitate continuous participation and create trust and sense of belonging among members.
Social implications – In terms of the SNS members’ interaction and participation in interpersonal relationships, psychological perspectives can generate long-term reliance and sense of belonging. The willingness to exchange information and the involvement of continuous participation can affect the e-WOM behavior of giving and passing information. Brand fan page members are more willing to engage in e-WOM intentions when they have a higher sense of belonging and perceived community-brand similarities.
Originality/value - This study adopts the tricomponent attitude model to examine the relationship among cognition, affection, and behavioral intentions of community members between individuals and groups.
Keywords Trust, Sense of belonging, Self-image congruity, Perceived community-brand similarity, Intention of information
... Copeland, 1923) and continues to attract considerable interest to date (e.g. Lurie and Wen, 2014;Martínez-López et al., 2015;Wang et al., 2016). Several studies on the marketing and information system (IS) fields investigate the impact of decision aids like RAs on online returns to search. ...
... Yoon et al., 2013;Xu et al., 2014;Xiao and Benbasat, 2015) and second from the behavioral side investigating the psychological influencers on decision making (e.g. Martínez-López et al., 2015;Wang et al., 2016). ...
... Marketers developed recommendation agents (RAs) to help consumers with the overdose of information (Häubl and Trifts, 2000). Hence, consumers adopted RAs (Martínez-López et al., 2015). However, there is evidence of sub-optimal decision making and satisfaction when consumers have used RAs (Lurie and Wen, 2014;Shen, 2014). ...
Purpose
The purpose of this paper is to investigate returns to search (getting a better product and/or a lower price as a result of search) when consumers use/do not use recommendation agents (RAs). Specifically, it studies the effect of RAs/no RAs on decision quality, decision confidence and decision satisfaction taking into account subjective knowledge (SK) and involvement.
Design/methodology/approach
This paper employed two between-subjects factorial experimental designs with subjects searching for digital cameras in a simulated online digital camera store. The experiment was conducted with graduate students in Chennai, Bengaluru and Mysore in India.
Findings
Results of two online experiments showed that when consumers used RAs, low search led to better decision quality, whereas when consumers did not use RAs, medium search led to optimum decision quality. When consumers use RAs, SK had a U-shaped influence on the decision quality indicating that decision quality was the lowest for those with medium SK. When consumers did not use RAs, the effect of SK on decision quality was an inverted U-shape, indicating optimum decision quality for medium SK consumers. When consumers did not use RAs, subjects with high involvement made better choices, whereas when consumers used RAs, low involvement subjects made better choices. However, subjects who searched more had higher decision confidence and decision satisfaction even if their choices were not better.
Originality/value
The effect of RA vs no RA in conjunction with relevant consumer characteristics influencing decision quality of the consumer is demonstrated in this study. The findings have important managerial, consumer and theoretical contributions to make.
... Also, some studies have suggested that the high perceived information quality may lead to higher intention to use (Nicolaou and McKnight, 2006) because the high perceived information quality may mitigate the risk of possible loss. Moreover, perceived enjoyment is a positive affective state that has been viewed as one of the important indicators of intention to use a system (Martínez-López et al., 2015). The higher the perceived enjoyment is, the higher will be the individual's intention to adopt 5 INTR 27,3 the system (Martínez-López et al., 2015;Van der Heijden, 2004). ...
... Moreover, perceived enjoyment is a positive affective state that has been viewed as one of the important indicators of intention to use a system (Martínez-López et al., 2015). The higher the perceived enjoyment is, the higher will be the individual's intention to adopt 5 INTR 27,3 the system (Martínez-López et al., 2015;Van der Heijden, 2004). Thus, this study proposes three hypotheses, as follows: ...
Purpose: Recent years have witnessed the development of a variety of rating systems but the authors have little knowledge about their impact on users’ perceptions of information quality, cognitive decision effort, and enjoyment. The purpose of this paper is to understand the potential cognitive fit underlining the relationship between rating systems types (i.e. five-star, binary-visual, and binary-textual) and tasks (i.e. purchase-decision and browsing tasks) in the context of shopping websites. Design/methodology/approach: A total of 191 subjects were obtained. This study conducted an experiment with a 2×3 between-subject factorial design. The first dimension is a task that has two conditions (purchasing vs browsing). The second dimension is a type of rating system that has three different types (binary-textual, binary-visual, and five-star). Findings: The results show that the cognitive fit may occur when individuals use a five-star rating system to help them make a purchasing decision and when they use a binary-visual rating system while browsing. This fit might increase perceived information quality while decrease cognitive decision efforts, and in turn raise intention to adopt the systems. Moreover, five-star rating systems can make users feel more fun and enjoyment than binary-textual and visual rating systems, regardless of task type. Research limitations/implications: This study focuses on three main rating systems that are popular on shopping websites. Nevertheless, few other rating systems exist in the market such as unitary or ten-star rating systems. Further studies can consider other types of rating systems and address, in addition to representation, the issue of information granularity (i.e. unitary, binary, five-star, and ten-star rating systems). Practical implications: The results of this study could provide design principles for web designers in determining which rating systems best match the websites they are developing. If the websites or specific webpages are more utilitarian oriented (hedonic oriented), five-star rating systems (binary-visual rating systems) are more appropriate. Originality/value: This study contributes to the rating system literature by examining the cognitive fit underlining the relationship between rating systems types and tasks. Importantly, this study extends cognitive fit theory by considering affective responses, that is, perceived enjoyment and intention to continue to use.
... Copeland, 1923) and continues to attract considerable interest to date (e.g. Lurie and Wen, 2014;Martínez-López et al., 2015;Wang et al., 2016). Several studies on the marketing and information system (IS) fields investigate the impact of decision aids like RAs on online returns to search. ...
... Yoon et al., 2013;Xu et al., 2014;Xiao and Benbasat, 2015) and second from the behavioral side investigating the psychological influencers on decision making (e.g. Martínez-López et al., 2015;Wang et al., 2016). ...
... Marketers developed recommendation agents (RAs) to help consumers with the overdose of information (Häubl and Trifts, 2000). Hence, consumers adopted RAs (Martínez-López et al., 2015). However, there is evidence of sub-optimal decision making and satisfaction when consumers have used RAs (Lurie and Wen, 2014;Shen, 2014). ...
Purpose
The purpose of this paper is to examine the presence of nostalgic advertising in Indian television and its execution with reference to extent of information disclosure, level of involvement, type of products and stages in product life cycle (PLC).
Design/methodology/approach
This research uses a content analysis of 700 TV advertisements aired between January-December 2013 from top five Indian TV channels based on their rank according to Gross Viewership in Thousands.
Findings
Humour/happiness was the most commonly used emotional appeal and nostalgic ads constituted 12 per cent of the emotional ads in Indian television. “References to past family experiences” was the most commonly used nostalgic element. As hypothesised, nostalgic ads use low information disclosure strategy (vis-à-vis high/medium information disclosure strategy) and are more commonly used for low involvement products (vis-à-vis high involvement products), experience products (vis-à-vis search products), and non-durables (vis-à-vis durables). Also, nostalgic appeals are more commonly used at maturity stage of PLC (vis-à-vis introduction stage).
Originality/value
This is the first research to analyse the content and execution of nostalgic advertising in India. This study is also one of the first to provide a comprehensive framework on nostalgic advertising. The interrelationships among variables such as product category, process of emotional appeal, degree of information disclosure and stage in PLC has not been investigated earlier, in the context of nostalgic advertising. Moreover, this study is the first attempt to present a snapshot of TV ads in India.
