Impact of product assortment, perceived service quality, website quality, and customer reviews on customer happiness and word of mouth
Abstract
EconStor is a publication server for scholarly economic literature, provided as a non-commercial public service by the ZBW.
Full text
Shriedeh, Fayez Bassam; Hanaysha, Jalal Rajeh; Gulseven, Osman Article Impact of product assortment, perceived service quality, website quality, and customer reviews on customer happiness and word of mouth Pakistan Journal of Commerce and Social Sciences (PJCSS) Provided in Cooperation with: Johar Education Society, Pakistan (JESPK) Suggested Citation: Shriedeh, Fayez Bassam; Hanaysha, Jalal Rajeh; Gulseven, Osman (2024) : Impact of product assortment, perceived service quality, website quality, and customer reviews on customer happiness and word of mouth, Pakistan Journal of Commerce and Social Sciences (PJCSS), ISSN 2309-8619, Johar Education Society, Pakistan (JESPK), Lahore, Vol. 18, Iss. 1, pp. 157-180 This Version is available at: https://hdl.handle.net/10419/294813 Standard-Nutzungsbedingungen: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen. Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in EconStor may be saved and copied for your personal and scholarly purposes. You are not to copy documents for public or commercial purposes, to exhibit the documents publicly, to make them publicly available on the internet, or to distribute or otherwise use the documents in public. If the documents have been made available under an Open Content Licence (especially Creative Commons Licences), you may exercise further usage rights as specified in the indicated licence. https://creativecommons.org/licenses/by-nc/4.0/
Pakistan Journal of Commerce and Social Sciences 2024, Vol. 18(1), 157-180 Pak J Commer Soc Sci Impact of Product Assortment, Perceived Service Quality, Website Quality, and Customer Reviews on Customer Happiness and Word of Mouth Fayez Bassam Shriedeh Department of Marketing, Hashemite University, Zarqa, Jordan E-Mail: [email protected] Jalal Rajeh Hanaysha (Corresponding author) School of Business, Skyline University College, 1797, Sharjah, United Arab Emirates E-mail: jalal.hanay[email protected] Osman Gulseven Faculty of Agricultural and Marine Sciences, Sultan Qaboos University, Muscat, Oman E-mail: [email protected] Article History Received: 29 Dec 2023 Revised: 24 Mar 2024 Accepted: 27 Mar 2024 Published: 31 Mar 2024 Abstract The main aim of this paper focuses on examining the effect of website quality, product assortment, customer reviews, and perceived service quality on customer happiness and word of mouth. The data for this research was gathered from online shoppers of retail stores in United Arab Emirates. Data was analyzed using partial least square based structural equation modeling through SmartPLS software in order to verify research hypotheses and draw conclusions. The findings also showed that website quality, customer reviews and perceived service quality have positive effects on customer happiness and word of mouth. Finally, the results revealed that product assortment positively affects word of mouth, while its effect on customer happiness is insignificant. This research builds upon the existing literature by demonstrating the effect of selected factors on customer happiness and word of mouth, considering that only limited studies were conducted in the past about these variables in the Middle East region. Keywords: Product assortment, customer reviews, perceived service quality, online retail customers, website quality, customer happiness, word of mouth, United Arab Emirates. 1. Introduction The advancements in technology and growth of internet usage among individuals worldwide has urged marketers to seek for the optimal methods to reach their clients and
Product Assortment, Customer Happiness and Word of Mouth 158 meet their expectations. As a result of these shifts, retailers now need to complement their traditional storefronts with online buying options. The use of these e-commerce websites provides a cost-effective approach for manufacturers or retailers to improve the efficiency of the distribution of their goods and to connect with potential customers. In the meantime, customers shopping on various e-commerce websites will have access to a wider variety of options and more favorable pricing (Chiu & Cho, 2019). Accordingly, the e-commerce business has attracted the attentions of both academics and practitioners in order to clearly understand about this online distribution method from both the consumer's and the seller's perspectives (Escobar-Rodrguez & Bonsón-Fernández, 2017). Furthermore, as consumers nowadays are well-versed in technology, it has become increasingly important for ecommerce managers and academics to obtain clear understanding of customers’ needs and the factors that influence their word of mouth towards e-commerce websites. Researchers in the field of marketing evaluated the significance of word of mouth and the factors that affect it in different contexts. One of the most important ways in which retailers can set themselves apart is through their product assortment (Kautish & Sharma, 2019). However, the academic literature is still debating the question of product assortment due to the inconclusive results with regards to its effect on consumer behavior (Gao & Simonson, 2016). One school of thought holds that more customers from various segment groups are likely to say positive words about a store if it has more items to choose from, and this consequently will improve the store's sales and profits (Kautish & Sharma, 2019). Another contradicting view was reported in the prior research which suggested that consumers can make better use of their time at the store if they are presented with a more limited selection of products; thus, allowing them to make judgments more quickly with minimal frustration caused by excess of choice (Jamil, 2001). However, despite this contention, other scholars suggested that brands should present consumers with a variety of goods and services so that they have a variety of options from which to select (de Villiers, Visnenza, & Phiri, 2018). In the internet shopping context, website quality has also been regarded in the earlier literature as a significant factor for influencing customer happiness and word of mouth. Effective website design characteristics are the reason why certain online retailers' websites receive more traffic than others (Boardman & Mccormick, 2022). Sellers' websites often include pre-sale information (e.g. product and pricing details) in an effort to minimize the searching cost and time for customers. It has been suggested by some scholars that shoppers' favorable impressions of and attitudes toward a retailer can be facilitated by the quality of its website (Chen, Huang, & Davison, 2017). In light of the intense competition in the modern online retail market, managers of e-commerce sites need to be aware of the other factors that may affect shoppers' behavior. Over the past few years, the service quality has been viewed as a vital aspect in the success of e-commerce businesses (Dhingra, Gupta, & Bhatt, 2022). Due to the lack of physical interaction, it is even more important for online retailers to provide satisfactory customer service to their clients as they browse for products, place orders, and patiently wait for their deliveries (Rita et al., 2019). Tsao et al.
Shriedeh, Hanaysha & Gulseven 159 (2016) outlined that giving customers the impression that they will receive their orders promptly and will have an easy time while exchanging or returning them increases their happiness (e.g. high predictability and the enjoyment of waiting for goods) and stimulate them to spread positive word of mouth. Previous studies also showed that customer reviews have a significant impact, not only on the sales of products across a variety of categories (such as books, hotel rooms, and movies), but also on the customer happiness and word of mouth (Donthu et al., 2021; Jia, 2020). Several retailers post customer reviews on their websites for better normative evaluations, such as overall product rankings and ratings for product features in order to assist customers in determining the level of quality offered by a given product. Customers nowadays rely heavily on online reviews to form opinions about the quality of goods, the efficiency of service, and the overall happiness from a purchase (Li et al., 2023). Based on this premise, online product reviews have been considered to be highly influential and powerful (Pop et al., 2023) because people trust the opinions of their peers when they intend to purchase from a certain website. Dwidienawati et al. (2020) indicated that consumers place greater weight on the recommendations from their peers than those provided by businesses. This is likely due to the fact that peers are perceived as unbiased and more reliable than official company representatives. However, very limited studies have been conducted so far about the effect of customer reviews on word of mouth and customer happiness. As online shopping presents greater risks and uncertainties; therefore, customer happiness towards the seller’ website should be nurtured through enriching customer experience in order stimulate positive word of mouth communication. Accordingly, the lack of customer happiness is commonly seen as the primary barrier to the widespread of positive word of mouth (Niedermeier et al., 2019). However, there are scarce studies in the service literature that looked at the impact of a retailer's website quality and product assortment on customer happiness. While many scholars have looked at the importance of customer happiness in online buying, very limited studies have been dedicated to the examination of its role in affecting word of mouth. Niedermeier et al. (2019) also stated that there is still a necessity to develop the theoretical reasoning and offer precise evidence for verifying how customer happiness can be nurtured and improved. Therefore, this research intends to explore the effect of customer happiness on word of mouth (Ventre & Kolbe, 2020). In addition, online retailers have become recently highly concerned towards understanding the significance of website quality, product assortment, customer reviews, and perceived service quality in predicting word of mouth. In light of the limited research in this area, this paper was set out to explore the impact the stated factors on word of mouth and customer happiness with reference to the retail industry in UAE context. The findings will be useful for the decision makers in e-commerce business by providing them with novel insights regarding the significance of selected factors in attaining customer happiness and developing positive
Product Assortment, Customer Happiness and Word of Mouth 160 word of mouth about their brands, especially in the existence of growing competition and changing consumers’ needs. An overview of the pertinent literature review for this study is provided in the following section. 2. Literature Review and Hypotheses Development 2.1 Website Quality Electronic commerce relies heavily on the use of websites to facilitate trade between customers and sellers. Websites of certain online retailers receive more visits than those of their rivals due to the superior quality of their design and features (Chen et al., 2017; Luo, Ba, & Zhang (2012). In addition, Tsao et al. (2016) argued that website quality is crucial to the growth of an e-commerce business because it serves as a brand's unique selling proposition. In order to succeed as an online retailer, every aspect of its website must demonstrate professionalism. In the documented literature, several definitions of website quality were proposed. Perceived web quality, as defined by Al-Debei et al. (2015) is the overall evaluate of the ease, speed, reliability, and efficacy of a website's design and processes from the perspective of an online shopper. Website quality was also described as the extent to which customers rate a website as excellent or superior (Tran & Strutton, 2020). Likewise, Hsiao et al. (2010) conceptualized website quality as the extent to which customers believes that the features and attributes of a website match their needs and expectations. Therefore, understanding which components of the website a user views to be most significant should be the focus of businesses when developing their websites. Previous research verified website quality positively affects customer happiness (Jongmans et al., 2022) and word of mouth (O’cass & Carlson, 2012; Zeqiri et al., 2023). Bai et al. (2008) reported that the quality of a seller’s website is essential in the realm of online commerce due to the fact that consumers' opinions of the quality of a website directly influence their behaviors. According Hsiao et al. (2010), shoppers' confidence in e-commerce websites is significantly influenced by their impressions of the website quality. Indeed, previous studies have shown that consumers' impressions of the quality of the website account for a some of the variation in happiness (Al-Maghrabi et al., 2011; Sastika et al., 2023) and word of mouth. Banerjee, Shaikh, and Sharma (2024) also found that website experience has a positive impact on brand happiness in the retail setting. Most people will think twice before sharing sensitive information on an untrusted website, including both personal and financial details (Kim et al., 2012). Accordingly, the subsequent hypotheses are projected: ➢ H1: Website quality has a positive effect on customer happiness. ➢ H2: Website quality has a positive effect on word of mouth. 2.2 Product Assortment The term product assortment has gained increased attention in the contemporary marketing literature. It was conceptualized by Lombart et al. (2018) within a certain merchandise / grocery group as the diversity in products offerings. The perceptions of customers towards
Shriedeh, Hanaysha & Gulseven 161 an assortment can be shaped by the level of product quality, brand name, and price; which all enhance the reputation and market position of a seller and influence the purchase decision as well satisfaction of buyers (Li et al., 2020). The assortment offered by a retail store have noteworthy effects on store selection decisions among consumers, and is regarded as one of the most significant factors after price affordability and convenience of location. Nevertheless, assortment strategies are vital for customer acquisition and nurturing retention rate. Beneke et al. (2013) outlined that customers tend to select certain merchandise over another due to the perceived benefits and value. Hence, offering adequate assortments in a retail store have significant implications on sales and profits and are important for ensuring long-term business growth. Azhari et al. (2023) indicated that the perceptions of customers towards a store's assortments positively influence their purchase happiness. Henkel and Toporowski (2023) also supported that providing shoppers with wide merchandise options stimulate them to spread a positive word of mouth. Past studies also supported the positive effect of product assortment on word of mouth (Davis & Khazanchi, 2008; Errajaa et al., 2022; Hervas-Drane, 2015) and customer happiness (Choi et al., 2018; Verma & Pant, 2021). Furthermore, offering a mix of products with diverse features allows clients to easily find the specific products which meet their requirements, regardless of how niche a market segment they fit in (Gajanan et al., 2007). Accordingly, buyers tend to have greater willingness for searching what they are looking for, which satisfies their interest for a diverse selection and happiness towards the retailer. Therefore, this study posits that: ➢ H3: Product assortment has a positive effect on customer happiness. ➢ H4: Product assortment has a positive effect on word of mouth. 2.3 Customer Reviews An increasingly large number of people around the world rely on online reviews as a key source of information before making online purchases (DeAndrea et al., 2018; Filieri, 2016; Zhao, Wang, Guo, & Law, 2015). A number of online retailer post customer reviews on their websites by displaying normative assessments, like overall product rankings and ratings for product features, in order to assist customers in determining the overall quality of a product (Filieri, 2015). Reviews written by other customers are an invaluable resource for online shoppers, who can use them to make more informed purchases and even be persuaded to switch to online channels from more conventional ones. Product reviews are more reliable when they are written by actual consumers who have used the item before (Tran & Strutton, 2020; Zhu, Li, Wang, He, & Tian, 2020). They represent a reflection and a record of customers’ opinions, assessments, and experiences. A high number of reviews is an indication of a well-liked website, which in turn boosts the perceived worth of the user experience. Meanwhile, timely, complete reviews with appropriate explanations according to specific facts about the offerings have a greater persuasive impact as
Product Assortment, Customer Happiness and Word of Mouth 162 customers may quickly locate useable cues to form decisions according to the review (Luo & Ye, 2019; Zhu et al., 2020). Prior studies acknowledged the effect of customers reviews on customer happiness and word of mouth (Ventre & Kolbe, 2020; Quan et al., 2023). Verma and Yadav (2021) also found a positive association between online reviews and word of mouth. Furthermore, Luo et al. (2021) showed that customers are likely foster favourable word of mouth when they have greater happiness towards the seller, for the simple reason that people to reciprocate what they have experienced. In spite of the possible concerns about their reliability, customers tend to have higher trust towards online reviews than those recommendations and product information created by the marketers themselves and disseminated via conventional marketing communication channels. Eslami, Ghasemaghaei, and Hassanein (2018) stated that about eighty-five percent of buyers believe in customers reviews as they do in recommendations from friends and family. Reviews written by happy customers give others clear idea about how well a product functions in various situations of usage (Tran & Strutton, 2020; Yi & Liu, 2020). However, although prior researches emphasized about the significance of customer reviews in affecting customer happiness and word of mouth, the empirical literature about this link is very limited. Hence, this research suggests the following hypotheses: ➢ H5: Customer reviews have positive effect on customer happiness. ➢ H6: Customer reviews have positive effect on online word of mouth. 2.4 Perceived Service Quality Over the past few years, service quality has emerged as the primary element in the success of an e-commerce business. According to Kautish and Sharma (2019), the quality of an online retailer’s service is measured by how well it simplifies the shopping experience for customers throughout the entire process of using the website, from browsing to making a purchase to receiving the product. The experiences that buyers get while interacting with a seller, as well as after sale are the basis for website rating. When customers' needs are met through obtaining high-quality service, they tend to develop a positive impression about the service provider (Chen et al., 2017; Mamakou, Zaharias, & Milesi, 2024). Moreover, buyers may perceive the willingness of support from the seller based on its service quality. Sellers can improve their service quality by listening to their customers' concerns and addressing them, as well as by proactively responding to their customers' needs and suggesting complementary items or services if needed (Golara et al., 2021). In addition, Zhou et al. (2009) found that when customers receive high-quality of services, their happiness and willingness to recommend the brand to others increases. Accordingly, online retailers should provide shoppers with individualized services, promptly address their concerns, and promote two-way communication among them (Liang & Chen, 2009). In general, earlier literature showed that service quality positively affects customer happiness (Gong & Yi, 2018; Theodorakis et al., 2015; Yi & Nataraajan, 2018; Zhong & Moon, 2020) and word of mouth (Pappachan, 2023; Stribbell, & Duangekanong, 2022; Ullah, Ranjha,
Shriedeh, Hanaysha & Gulseven 163 & Rehan, 2018). However, insufficient research has been done to verify this link, particularly in retail context. Therefore, this study proposes the next hypotheses: ➢ H7: Perceived service quality has a positive effect on customer happiness. ➢ H8: Perceived service has a positive effect on word of mouth. 2.5 Customer Happiness Due to the increasing focus on the social impact of marketing efforts, companies are now placing greater importance on customer happiness. Customer happiness was defined in the literature as the extent to which a client feels that his/her well-being and quality of life have been improved (Gong & Yi, 2018). Hellén and Sääksjärvi (2011) also defined customer happiness as a state of well-being characterized by an abundance of positive emotions and a dearth of negative ones, and it is frequently related with one's own experiences of joy, contentment, and a meaningful life. In other words, customer happiness is a reflection of the culmination of clients’ subjective assessments of their present life conditions. Earlier research emphasized the theoretical significance of customer happiness for attaining longterm brand loyalty and maximizing a firm’s profits. Moreover, previous studies showed that customer happiness has a positive impact on word of mouth (Khoo, 2020; Loureiro et al., 2018; Niedermeier, Albrecht, & Jahn, 2019). Schmitt and Van Zutphen (2012) also stated that happy customers tend to return for future purchases and spread favorable wordof-mouth recommendations to their peers, friends, and family members. Hence, the following hypothesis is suggested: ➢ H9: Customer happiness has a positive effect on word of mouth. In accordance of the above literature and underlining theories, the conceptual framework for the present research is displayed in Figure 1. H1 H2 H4 H3 H9 H5 H7 ` H8 H6 Figure 1: Conceptual Model Perceived Service Quality Customer Reviews Website Quality Product Assortment Customer Happiness Word of Mouth
Product Assortment, Customer Happiness and Word of Mouth 164 3. Methodology 3.1 Sample and Data Collection The required data for conducting this study was gathered through an online survey distributed to customers of online stores in UAE. During data collection, we opted for a convenience sampling technique. According to the literature, it is appropriate and effective to use a convenience sample while conducting research on consumer behavior regarding online purchasing and running multivariate statistical analysis. Moreover, this sampling methodology was used because it is less costly and the data collection could be completed in a reasonable time. It was also used by similar previous studies in the online shopping context (Alves & Luís Reis, 2020; Park et al., 2021; Sumarliah et al., 2021). In the beginning, the targeted respondents were asked to participate in answering the survey if they have any experience in purchasing products/items from online stores in UAE. Social media networks, for instance Instagram and WhatsApp, Twitter, and Facebook in addition to emails were all employed for distributing the survey on targeted respondents. During the data collection process, we adhered to the most stringent ethical requirements. It was made clear to the respondents that responses will be used exclusively for research, and their anonymity will be maintained throughout the study. Overall, 335 surveys were collected from the targeted respondents over the period of April to June 2023. Among these responses, 8 were excluded because there were found incomplete. Finally, 327 valid responses were used for data analysis. The analysis for obtained data was performed using the partial least square structural equation modelling (PLS-SEM). According to the literature (Hair et al., 2019; Sarstedt et al., 2022), PLS-SEM is appropriate for data analysis when the purpose is to test a theoretical model from the perspective of prediction, the sample size is small, and when the structural model contains several variables, indicators and/or theoretical relationships. Also, as far as issues of distribution are a key concern, for instance lack of normality, then PLS-SEM is deemed appropriate for data analysis. Initially, the validity of measurement scales was calculated based on confirmatory factor analysis via smart PLS software by calculating PLS Algorithm while estimating the measurement model. Also, the reliability of measurement items was verified via both composite reliability and the Cronbach’s alpha. After that, the hypotheses were tested using bootstrapping technique and the results were generated from path coefficient table. 3.2 Measures All of our model's constructs were rated on validated scales. Expert feedback was also gathered from two professors and two store managers over the course of two meetings to ensure the questionnaire's content validity. According to their suggestions, the measurement scales were modified slightly as needed to provide a good fit with our research setting. The designed survey contained two sections. In the first part, we included general questions to capture the demographic profile of the responders. The other section covered the measurement scales of variables. First, we used seven items to measure website
Shriedeh, Hanaysha & Gulseven 171 sellers which prioritize the delivery of efficient services to their clients can improve their happiness, and stimulate them to recommend the brand in their social network. 6. Conclusion and Implications 6.1 Practical Implications This paper focused on examining the effect of website quality, product assortment, customer reviews, and perceived service quality on customer happiness and word of mouth. The results outlined that website quality has a positive effect on both word of mouth and customer happiness. From a managerial perspective, this paper provides noteworthy implications for both the literature and online store managers. While developing shopping websites, store managers should prioritize the usability of their sites by paying close attention to page layout, accessibility, download speed, and the organized classification of products. The management should also have alternate plans in place in case of system malfunction in addition to performing routine maintenance to keep the system running smoothly. In addition, improving search results and preventing information overload requires offering high-quality content that is up-to-date, clear, relevant, and simple to grasp. To minimize the costs that can be experienced by website visitors before, during, and after purchasing, it is necessary to understand customers’ needs and expectation and fulfill them. By providing variety of choices for consumers and enhance shipping efficiency, as well as allowing for the return of defective goods with appropriate compensation in the case of service interruption, this can boost customer happiness and ultimately stimulate positive word of mouth. The results also showed that customer reviews have significant positive impact on customer happiness and word of mouth. The results of this research also have implications for online stores in terms of the value of customer feedback. Customers' happiness towards purchasing from the seller and willingness to recommend it to others can be positively affected by the information provided by online reviews. Consequently, it is imperative for online stores to consider both the volume and quality of customer reviews. In addition, they need to think about ways to make online reviews more engaging for customers to increase the number of reviews with high quality content. Nevertheless, customer reviews are an essential component of the environmental aspects that make up a retailer's website, because customers' expectations of websites are becoming increasingly difficult to fulfill. For customer of online retail stores, the inability of touching, smelling or trying a product is likely to complicate the purchase decision process. Online retailers can mitigate the aforementioned drawbacks by soliciting high quality reviews from customers. This usergenerated content effects consumers' happiness and improve their willingness to spread positive word of mouth. Furthermore, the finding showed that product assortment positively affects word of mouth while its effect on customer happiness is negative and insignificant. The result suggests
Product Assortment, Customer Happiness and Word of Mouth 172 that retailers should pay close attentions to their product offerings, particularly the selection composition. It is important that the retailer's choice of products should conform to the expectations set by the marketing materials and customers’ needs. That is, the store's offerings must be aligned the descriptions given to customers. Therefore, "what the customers want to buy" rather than "what the retailers want to sell" should be the focal point in determining what to offer. Finally, the results supported the positive effect of perceived service quality on customers' happiness and word of mouth. Therefore, online store managers need to understand that in today's market, excellent customer service is essential to the survival of their businesses. Due to the impersonal nature of providing services online, it is crucial for managers to warrant that their IT-based communication platforms are reliable. Besides the standard online payment methods, online store websites in UAE may consider Cash on Delivery (CoD) option. This is relatively important for minimizing the perceptions of risk that is associated with online shopping. 6.2 Theoretical Implications This paper provides a key contribution to the marketing literature in the field of consumer behavior. From a theoretical standpoint, this paper has addressed the calls for undertaking future research on the potential determinants of customer happiness and word of mouth, particularly in emerging markets and Arab nations. It mainly aimed to make a significant contribution towards enhancing and extending our understanding regarding the roles of perceived website quality, product assortment, customer reviews, perceived service quality, and trust along with their effects on word of mouth towards retail stores in Middle East region. This paper also addresses existing gaps in the empirical literature through the examination of their effects on customer happiness. This is the first study that integrates these variables together in one model. By looking as past literature, it can also be noticed that there are limited studies concerning the impact of product assortment on customer happiness and word of mouth. Earlier studies also paid less attention towards testing the effect of customer reviews on customer happiness and word of mouth. Consequently, this research aimed to provide a noteworthy contribution to the literature by bringing new insights from UAE’s online retail context. 6.3 Limitations and Future Research Suggestions There are some limitations in this research which could be taken into consideration in future researches. Whilst there are many factors that affect customer happiness and word of mouth, the current study focuses on only four (website quality, product assortment, customer reviews, and perceived service quality). In future studies, it could be useful to include additional variables, such as perceived price and online advertising. Future research is also suggested to verify if customer happiness functions as a mediator between them. Second, the respondents in this research are comprised of online shoppers in UAE, therefore, it is recommended for future researches to collect data from other nations in Middle East region to confirm the findings. Third, demographic characteristics (e.g. gender and age) may play vital roles in influencing buyers’ online shopping behavior; thus, the
Shriedeh, Hanaysha & Gulseven 173 current research model can be expanded in the future and include them as moderators. Forth, a quantitative research method was employed for data collection using a crosssectional survey; therefore, future studies can adopt qualitative techniques (e.g. focus group or depth interviews) to verify the findings. Furthermore, there was no differentiation made between users who had placed their orders via mobile apps or via websites. In light of this, an investigation focusing just on users of mobile apps or website users may yield findings that are more platform-specific. Last but not the least, the data were gathered using a convenience sample technique, which may hinder the generalizability of the results. Hence, probability sampling techniques could be used in future studies to reach at more generalizable findings. Research Funding The authors received no research grant or funds for this research study. REFERENCES Al-Debei, M. M., Akroush, M. N., & Ashouri, M. I. (2015). Consumer attitudes towards online shopping: The effects of trust, perceived benefits, and perceived web quality. Internet Research, 25(5), 707-733. Aljabari, M. A., Joudeh, J. M., Aljumah, A. I., Al-Gasawneh, J., & Daoud, M. K. (2023). The impact of website quality on online purchase intention: The mediating effect of eWOM, Jordan context. International Journal of Professional Business Review, 8(6), e02143-e02143. Al‐Maghrabi, T., Dennis, C., & Vaux Halliday, S. (2011). Antecedents of continuance intentions towards e‐shopping: the case of Saudi Arabia. Journal of Enterprise Information Management, 24(1), 85-111. Alves, C., & Luís Reis, J. (2020). The intention to use e-commerce using augmented reality-the case of IKEA place. In Information Technology and Systems: Proceedings of ICITS 2020 (pp. 114-123). Springer International Publishing. Azhari, A., Firman, A., Khalik, A., & Oktaviani, A. R. (2023). The Effect of Location, Product Diversity, and Store Atmosphere on Increasing Customer Satisfaction. Advances in Business & Industrial Marketing Research, 1(3), 108-116. Bai, B., Law, R., & Wen, I. (2008). The impact of website quality on customer satisfaction and purchase intentions: Evidence from Chinese online visitors. International Journal of Hospitality Management, 27(3), 391-402. Banerjee, S., Shaikh, A., & Sharma, A. (2024). The role of online retail website experience on brand happiness and willingness to share personal information: an SOR perspective. Marketing Intelligence & Planning., [ahead-of-print].
Product Assortment, Customer Happiness and Word of Mouth 174 Beneke, J., Cumming, A., & Jolly, L. (2013). The effect of item reduction on assortment satisfaction—A consideration of the category of red wine in a controlled retail setting. Journal of Retailing and Consumer Services, 20(3), 282-291. Boardman, R., & Mccormick, H. (2022). Attention and behaviour on fashion retail websites: an eye-tracking study. Information Technology & People, 35(7), 2219-2240. Chen, X., Huang, Q., & Davison, R. M. (2017). The role of website quality and social capital in building buyers’ loyalty. International Journal of Information Management, 37(1), 1563-1574. Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern Methods for Business Research, 295(2), 295-336. Chiu, W., & Cho, H. (2019). E-commerce brand: The effect of perceived brand leadership on consumers’ satisfaction and repurchase intention on e-commerce websites. Asia Pacific Journal of Marketing and Logistics, 33(6), 1339-1362. Choi, C., Mattila, A. S., & Upneja, A. (2018). The effect of assortment pricing on choice and satisfaction: The moderating role of consumer characteristics. Cornell Hospitality Quarterly, 59(1), 6-14. Dandis, A. O., Jarrad, A. A., Joudeh, J. M., Mukattash, I. L., & Hassouneh, A. G. (2022). The effect of multidimensional service quality on word of mouth in university on-campus healthcare centers. The TQM Journal, 34(4), 701-727. Davis, A., & Khazanchi, D. (2008). An empirical study of online word of mouth as a predictor for multi‐product category e‐commerce sales. Electronic Markets, 18(2), 130141. de Villiers, M. V., Visnenza, A., & Phiri, N. (2018). Importance of location and product assortment on flea market loyalty. The Service Industries Journal, 38(11-12), 650-668. DeAndrea, D. C., Van Der Heide, B., Vendemia, M. A., & Vang, M. H. (2018). How people evaluate online reviews. Communication Research, 45(5), 719-736. Diehl, K., & Poynor, C. (2010). Great expectations?! Assortment size, expectations, and satisfaction. Journal of Marketing Research, 47(2), 312-322. Dhingra, S., Gupta, S., & Bhatt, R. (2022). Comparison of e-service quality of Indian ecommerce websites. International Journal of Indian Culture and Business Management, 26(3), 407-426. Dickinger, A., & Stangl, B. (2013). Website performance and behavioral consequences: A formative measurement approach. Journal of Business Research, 66(6), 771-777. Donthu, N., Kumar, S., Pandey, N., Pandey, N., & Mishra, A. (2021). Mapping the electronic word-of-mouth (eWOM) research: A systematic review and bibliometric analysis. Journal of Business Research, 135, 758-773.
Shriedeh, Hanaysha & Gulseven 175 Dwidienawati, D., Tjahjana, D., Abdinagoro, S. B., & Gandasari, D. (2020). Customer review or influencer endorsement: which one influences purchase intention more?. Heliyon, 6(11), e05543. Errajaa, K., Hombourger-Barès, S., & Audrain-Pontevia, A. F. (2022). Effects of the instore crowd and employee perceptions on intentions to revisit and word-of-mouth via transactional satisfaction: A SOR approach. Journal of Retailing and Consumer Services, 68, 103087. Escobar-Rodríguez, T., & Bonsón-Fernández, R. (2017). Analysing online purchase intention in Spain: fashion e-commerce. Information Systems and e-Business Management, 15, 599-622. Elwalda, A., Lü, K., & Ali, M. (2016). Perceived derived attributes of online customer reviews. Computers in Human Behavior, 56, 306-319. Eslami, S. P., Ghasemaghaei, M., & Hassanein, K. (2018). Which online reviews do consumers find most helpful? A multi-method investigation. Decision Support Systems, 113, 32-42. Filieri, R. (2016). What makes an online consumer review trustworthy?. Annals of Tourism Research, 58, 46-64. Filieri, R., Alguezaui, S., & McLeay, F. (2015). Why do travelers trust TripAdvisor? Antecedents of trust towards consumer-generated media and its influence on recommendation adoption and word of mouth. Tourism Management, 51, 174-185. Gajanan, S., Basuroy, S., & Beldona, S. (2007). Category management, product assortment, and consumer welfare. Marketing Letters, 18, 135-148. Gao, L., & Simonson, I. (2016). The positive effect of assortment size on purchase likelihood: The moderating influence of decision order. Journal of Consumer Psychology, 26(4), 542–549 Golara, S., Dooley, K. J., & Mousavi, N. (2021). Are dealers still relevant? How dealer service quality impacts manufacturer success. Production and Operations Management, 30(10), 3560-3578. Gong, T., & Yi, Y. (2018). The effect of service quality on customer satisfaction, loyalty, and happiness in five Asian countries. Psychology & Marketing, 35(6), 427-442. Gretzel, U., & Yoo, K. H. (2008). Use and impact of online travel reviews. In Information and communication technologies in tourism 2008 (pp. 35-46). Springer, Vienna. Grosso, M., Castaldo, S., & Grewal, A. (2018). How store attributes impact shoppers’ loyalty in emerging countries: An investigation in the Indian retail sector. Journal of Retailing and Consumer Services, 40, 117-124.
Product Assortment, Customer Happiness and Word of Mouth 176 Ha, S., & Stoel, L. (2009). Consumer e-shopping acceptance: Antecedents in a technology acceptance model. Journal of Business Research, 62(5), 565-571. Ha, Y., & Im, H. (2012). Role of web site design quality in satisfaction and word of mouth generation. Journal of Service Management, 23(1), 79-96. Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2-24. Hair, J. F., Jr., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2010). Multivariate data analyisis (7th edition), Upper Saddle River, N.J: Pearson Prentice Hall. Harman, H. (1960). Modern Factor Analysis. Chicago: University of Chicago Press. Heitmann, M., Herrmann, A., & Kaiser, C. (2007). The effect of product variety on purchase probability. Review of Managerial Science, 1, 111-131. Hellén, K., & Sääksjärvi, M. (2011). Happiness as a predictor of service quality and commitment for utilitarian and hedonic services. Psychology & Marketing, 28(9), 934-957. Henkel, L., & Toporowski, W. (2023). Once they’ve been there, they like to share: Capitalizing on ephemerality and need for uniqueness to drive word of mouth for brands with pop-up stores. Journal of the Academy of Marketing Science, 51(6), 1284-1304. Hervas-Drane, A. (2015). Recommended for you: The effect of word of mouth on sales concentration. International Journal of Research in Marketing, 32(2), 207-218. Hsiao, K. L., Chuan‐Chuan Lin, J., Wang, X. Y., Lu, H. P., & Yu, H. (2010). Antecedents and consequences of trust in online product recommendations: An empirical study in social shopping. Online Information Review, 34(6), 935-953. Hsieh, Y. C., Chiu, H. C., Tang, Y. C., & Lin, W. Y. (2018). Does raising value co-creation increase all customers’ happiness?. Journal of Business Ethics, 152, 1053-1067. Jamil, M. (2001). Consumer response to retail assortment reduction (Unpublished doctoral thesis). Indiana University, Indiana. Jia, S. S. (2020). Motivation and satisfaction of Chinese and US tourists in restaurants: A cross-cultural text mining of online reviews. Tourism Management, 78, 104071. Jongmans, E., Jeannot, F., Liang, L., & Dampérat, M. (2022). Impact of website visual design on user experience and website evaluation: the sequential mediating roles of usability and pleasure. Journal of Marketing Management, 38(17-18), 2078-2113. Kautish, P., & Sharma, R. (2019). Managing online product assortment and order fulfillment for superior e-tailing service experience: an empirical investigation. Asia Pacific Journal of Marketing and Logistics, 31(4), 1161-1192. Khoo, K. L. (2020). A study of service quality, corporate image, customer satisfaction, revisit intention and word-of-mouth: evidence from the KTV industry. PSU Research Review, 6(2), 105-119.
Shriedeh, Hanaysha & Gulseven 177 Kim, C., Galliers, R. D., Shin, N., Ryoo, J. H., & Kim, J. (2012). Factors influencing Internet shopping value and customer repurchase intention. Electronic Commerce Research and Applications, 11(4), 374-387. Kim, J., Jin, B., & Swinney, J. L. (2009). The role of etail quality, e-satisfaction and e-trust in online loyalty development process. Journal of Retailing and Consumer Services, 16(4), 239-247. Kim, S. Y., Kim, J. U., & Park, S. C. (2017). The effects of perceived value, website trust and hotel trust on online hotel booking intention. Sustainability, 9(12), 2262. Li, C., He, Y., Peng, L., & Yuan, D. (2020). How manufacturer brand erosion shapes consumer assortment perceptions. Asia Pacific Journal of Marketing and Logistics, 32(4), 922-939. Li, H., Wang, X., Wang, S., Zhou, W., & Yang, Z. (2023). The power of numbers: an examination of the relationship between numerical cues in online review comments and perceived review helpfulness. Journal of Research in Interactive Marketing, 17(1), 126139. Liang, C. J., & Chen, H. J. (2009). A study of the impacts of website quality on customer relationship performance. Total Quality Management, 20(9), 971-988. Liu, C. H. S., & Lee, T. (2016). Service quality and price perception of service: Influence on word-of-mouth and revisit intention. Journal of Air Transport Management, 52, 42-54. Lombart, C., Labbé-Pinlon, B., Filser, M., Anteblian, B., & Louis, D. (2018). Regional product assortment and merchandising in grocery stores: Strategies and target customer segments. Journal of Retailing and Consumer Services, 42, 117-132. Loureiro, S. M., Cavallero, L., & Miranda, F. J. (2018). Fashion brands on retail websites: Customer performance expectancy and e-word-of-mouth. Journal of Retailing and Consumer Services, 41, 131-141. Loureiro, S. M. C. (2015). The role of website quality on PAD, attitude and intentions to visit and recommend island destination. International Journal of Tourism Research, 17(6), 545-554. Luo, J., Ba, S., & Zhang, H. (2012). The effectiveness of online shopping characteristics and well-designed websites on satisfaction. Mis Quarterly, 1131-1144. Luo, J. M., Vu, H. Q., Li, G., & Law, R. (2021). Understanding service attributes of robot hotels: A sentiment analysis of customer online reviews. International Journal of Hospitality Management, 98, 103032. Luo, Y., & Ye, Q. (2019). The effects of online reviews, perceived value, and gender on continuance intention to use international online outshopping website: an elaboration
Product Assortment, Customer Happiness and Word of Mouth 178 likelihood model perspective. Journal of International Consumer Marketing, 31(3), 250269. Mamakou, X. J., Zaharias, P., & Milesi, M. (2024). Measuring customer satisfaction in electronic commerce: The impact of e-service quality and user experience. International Journal of Quality & Reliability Management, 41(3), 915-943. Mukerjee, K. (2018). The impact of brand experience, service quality and perceived value on word of mouth of retail bank customers: Investigating the mediating effect of loyalty. Journal of Financial Services Marketing, 23(1), 12-24. Niedermeier, A., Albrecht, L., & Jahn, B. (2019). “Happy together”: Effects of brand community engagement on customer happiness. Journal of Relationship Marketing, 18(1), 54-76. O’cass, A., & Carlson, J. (2012). An e-retailing assessment of perceived website-service innovativeness: Implications for website quality evaluations, trust, loyalty and word of mouth. Australasian Marketing Journal (AMJ), 20(1), 28-36. Pappachan, J. (2023). Influence of service quality, loyalty programme and perceived value on word-of-mouth behavior of domestic and international airline passengers in India. Vilakshan-XIMB Journal of Management, 20(2), 247-257. Park, C. W., Sutherland, I., & Lee, S. K. (2021). Effects of online reviews, trust, and picture-superiority on intention to purchase restaurant services. Journal of Hospitality and Tourism Management, 47, 228-236. Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879-903. Pop, R. A., Hlédik, E., & Dabija, D. C. (2023). Predicting consumers' purchase intention through fast fashion mobile apps: The mediating role of attitude and the moderating role of COVID-19. Technological Forecasting and Social Change, 186, 122111. Quan, T. D., Thanh, L. N., & Thuy, T. N. T. (2023). The capability of E-reviews in online shopping. Integration of the PLS-SEM and ANN method. International Journal of Professional Business Review, 8(7), e02638-e02638. Rezvani, M., & Safahani, N. (2016). The effect of site quality on electronic word of mouth marketing through mediating variable of customer satisfaction (case study: Tiwall culture and art social network online shop). International Business Management, 10(4), 592-598. Rita, P., Oliveira, T., & Farisa, A. (2019). The impact of e-service quality and customer satisfaction on customer behavior in online shopping. Heliyon, 5(10), e02690. Sarstedt, M., Hair, J. F., Pick, M., Liengaard, B. D., Radomir, L., & Ringle, C. M. (2022). Progress in partial least squares structural equation modeling use in marketing research in the last decade. Psychology & Marketing, 39(5), 1035-1064.
Shriedeh, Hanaysha & Gulseven 179 Sastika, W., Kusumahadi, K., Hanifa, F. H., & Marcelino, D. (2023, November). ECommerce Website Quality: Usability, Information, Service Interaction & Visual Quality on Customer Satisfaction. In 2023 11th International Conference on Cyber and IT Service Management (CITSM) (pp. 1-7). IEEE. Schmitt, B., & Van Zutphen, G. (2012). Happy customers everywhere: How your business can profit from the insights of positive psychology. New York: Palgrave Macmillan Stribbell, H., & Duangekanong, S. (2022). Validation of a research instrument to measure generation Y parents’ perception of service quality and effect on satisfaction and word of mouth in International Schools. Mobile Information Systems, 2022, 9322949. Sumarliah, E., Khan, S. U., & Khan, I. U. (2021). Online hijab purchase intention: the influence of the Coronavirus outbreak. Journal of Islamic Marketing, 12(3), 598-621. Theodorakis, N. D., Kaplanidou, K., & Karabaxoglou, I. (2015). Effect of event service quality and satisfaction on happiness among runners of a recurring sport event. Leisure Sciences, 37(1), 87-107. Tran, G. A., & Strutton, D. (2020). Comparing email and SNS users: Investigating eservicescape, customer reviews, trust, loyalty and E-WOM. Journal of Retailing and Consumer Services, 53, 101782. Tsao, W. C., Hsieh, M. T., & Lin, T. M. (2016). Intensifying online loyalty! The power of website quality and the perceived value of consumer/seller relationship. Industrial Management & Data Systems, 116(9), 1987-2010. Tsao, W. C., & Tseng, Y. L. (2011). The impact of electronic-service quality on online shopping behaviour. Total Quality Management & Business Excellence, 22(9), 1007-1024. Ullah, N., Ranjha, M. H., & Rehan, M. (2018). The impact of after sale service and service quality on word of mouth, mediating role of customer satisfaction. International Journal of Services and Operations Management, 31(4), 494-512. Ventre, I., & Kolbe, D. (2020). The impact of perceived usefulness of online reviews, trust and perceived risk on online purchase intention in emerging markets: A Mexican perspective. Journal of International Consumer Marketing, 32(4), 287-299. Verma, P., & Pant, M. K. (2021). The effect of price verification, product display, assortment satisfaction upon overall satisfaction, online repatronage intention, and customer loyalty. Journal of Food Products Marketing, 27(6), 291-318. Verma, S., & Yadav, N. (2021). Past, present, and future of electronic word of mouth (EWOM). Journal of Interactive Marketing, 53, 111-128. Yi, Y., & Nataraajan, R. (2018). Customer satisfaction in Asia. Psychology & Marketing, 35(6), 387-391.
Product Assortment, Customer Happiness and Word of Mouth 180 Zeqiri, J., Dania, T. R., Adriana, L. T. D., Gagica, K., & Gleason, K. (2023). The impact of e-service quality on word of mouth: A higher education context. The International Journal of Management Education, 21(3), 100850. Zhao, X., Wang, L., Guo, X., & Law, R. (2015). The influence of online reviews to online hotel booking intentions. International Journal of Contemporary Hospitality Management, 27(6), 1343-1364. Zhou, T., Lu, Y., & Wang, B. (2009). The relative importance of website design quality and service quality in determining consumers’ online repurchase behavior. Information Systems Management, 26, 327–337. Zhong, Y., & Moon, H. C. (2020). What drives customer satisfaction, loyalty, and happiness in fast-food restaurants in China? Perceived price, service quality, food quality, physical environment quality, and the moderating role of gender. Foods, 9(4), 460. Zhu, L., Li, H., Wang, F. K., He, W., & Tian, Z. (2020). How online reviews affect purchase intention: a new model based on the stimulus-organism-response (S-O-R) framework. Aslib Journal of Information Management, 72(4), 463-488.