e-commerce market trends: a case study in leveraging web 2.0 … · (ebay.com.my) in 2004 as...

20
See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/303314995 E-Commerce market trends: A case study in leveraging Web 2.0 technologies to gain and improve competitive advantage Article in International Journal of Business Information Systems · August 2016 DOI: 10.1504/IJBIS.2017.10005086 CITATIONS 0 READS 4,985 2 authors: Some of the authors of this publication are also working on these related projects: OntoID View project Ching-Chieh Kiu Taylor's University 33 PUBLICATIONS 158 CITATIONS SEE PROFILE Chien-Sing Lee Sunway University 125 PUBLICATIONS 761 CITATIONS SEE PROFILE All content following this page was uploaded by Ching-Chieh Kiu on 02 November 2016. The user has requested enhancement of the downloaded file.

Upload: others

Post on 26-Jan-2021

2 views

Category:

Documents


0 download

TRANSCRIPT

  • See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/303314995

    E-Commerce market trends: A case study in leveraging Web 2.0 technologies

    to gain and improve competitive advantage

    Article  in  International Journal of Business Information Systems · August 2016

    DOI: 10.1504/IJBIS.2017.10005086

    CITATIONS

    0READS

    4,985

    2 authors:

    Some of the authors of this publication are also working on these related projects:

    OntoID View project

    Ching-Chieh Kiu

    Taylor's University

    33 PUBLICATIONS   158 CITATIONS   

    SEE PROFILE

    Chien-Sing Lee

    Sunway University

    125 PUBLICATIONS   761 CITATIONS   

    SEE PROFILE

    All content following this page was uploaded by Ching-Chieh Kiu on 02 November 2016.

    The user has requested enhancement of the downloaded file.

    https://www.researchgate.net/publication/303314995_E-Commerce_market_trends_A_case_study_in_leveraging_Web_20_technologies_to_gain_and_improve_competitive_advantage?enrichId=rgreq-cca967afc2ba6f6a8e5cf10d3029ad9b-XXX&enrichSource=Y292ZXJQYWdlOzMwMzMxNDk5NTtBUzo0MjM5MjU1MTI0NDU5NThAMTQ3ODA4MzEyNjQ3Mw%3D%3D&el=1_x_2&_esc=publicationCoverPdfhttps://www.researchgate.net/publication/303314995_E-Commerce_market_trends_A_case_study_in_leveraging_Web_20_technologies_to_gain_and_improve_competitive_advantage?enrichId=rgreq-cca967afc2ba6f6a8e5cf10d3029ad9b-XXX&enrichSource=Y292ZXJQYWdlOzMwMzMxNDk5NTtBUzo0MjM5MjU1MTI0NDU5NThAMTQ3ODA4MzEyNjQ3Mw%3D%3D&el=1_x_3&_esc=publicationCoverPdfhttps://www.researchgate.net/project/OntoID?enrichId=rgreq-cca967afc2ba6f6a8e5cf10d3029ad9b-XXX&enrichSource=Y292ZXJQYWdlOzMwMzMxNDk5NTtBUzo0MjM5MjU1MTI0NDU5NThAMTQ3ODA4MzEyNjQ3Mw%3D%3D&el=1_x_9&_esc=publicationCoverPdfhttps://www.researchgate.net/?enrichId=rgreq-cca967afc2ba6f6a8e5cf10d3029ad9b-XXX&enrichSource=Y292ZXJQYWdlOzMwMzMxNDk5NTtBUzo0MjM5MjU1MTI0NDU5NThAMTQ3ODA4MzEyNjQ3Mw%3D%3D&el=1_x_1&_esc=publicationCoverPdfhttps://www.researchgate.net/profile/Ching-Chieh-Kiu?enrichId=rgreq-cca967afc2ba6f6a8e5cf10d3029ad9b-XXX&enrichSource=Y292ZXJQYWdlOzMwMzMxNDk5NTtBUzo0MjM5MjU1MTI0NDU5NThAMTQ3ODA4MzEyNjQ3Mw%3D%3D&el=1_x_4&_esc=publicationCoverPdfhttps://www.researchgate.net/profile/Ching-Chieh-Kiu?enrichId=rgreq-cca967afc2ba6f6a8e5cf10d3029ad9b-XXX&enrichSource=Y292ZXJQYWdlOzMwMzMxNDk5NTtBUzo0MjM5MjU1MTI0NDU5NThAMTQ3ODA4MzEyNjQ3Mw%3D%3D&el=1_x_5&_esc=publicationCoverPdfhttps://www.researchgate.net/institution/Taylors_University?enrichId=rgreq-cca967afc2ba6f6a8e5cf10d3029ad9b-XXX&enrichSource=Y292ZXJQYWdlOzMwMzMxNDk5NTtBUzo0MjM5MjU1MTI0NDU5NThAMTQ3ODA4MzEyNjQ3Mw%3D%3D&el=1_x_6&_esc=publicationCoverPdfhttps://www.researchgate.net/profile/Ching-Chieh-Kiu?enrichId=rgreq-cca967afc2ba6f6a8e5cf10d3029ad9b-XXX&enrichSource=Y292ZXJQYWdlOzMwMzMxNDk5NTtBUzo0MjM5MjU1MTI0NDU5NThAMTQ3ODA4MzEyNjQ3Mw%3D%3D&el=1_x_7&_esc=publicationCoverPdfhttps://www.researchgate.net/profile/Chien-Sing-Lee?enrichId=rgreq-cca967afc2ba6f6a8e5cf10d3029ad9b-XXX&enrichSource=Y292ZXJQYWdlOzMwMzMxNDk5NTtBUzo0MjM5MjU1MTI0NDU5NThAMTQ3ODA4MzEyNjQ3Mw%3D%3D&el=1_x_4&_esc=publicationCoverPdfhttps://www.researchgate.net/profile/Chien-Sing-Lee?enrichId=rgreq-cca967afc2ba6f6a8e5cf10d3029ad9b-XXX&enrichSource=Y292ZXJQYWdlOzMwMzMxNDk5NTtBUzo0MjM5MjU1MTI0NDU5NThAMTQ3ODA4MzEyNjQ3Mw%3D%3D&el=1_x_5&_esc=publicationCoverPdfhttps://www.researchgate.net/institution/Sunway-University?enrichId=rgreq-cca967afc2ba6f6a8e5cf10d3029ad9b-XXX&enrichSource=Y292ZXJQYWdlOzMwMzMxNDk5NTtBUzo0MjM5MjU1MTI0NDU5NThAMTQ3ODA4MzEyNjQ3Mw%3D%3D&el=1_x_6&_esc=publicationCoverPdfhttps://www.researchgate.net/profile/Chien-Sing-Lee?enrichId=rgreq-cca967afc2ba6f6a8e5cf10d3029ad9b-XXX&enrichSource=Y292ZXJQYWdlOzMwMzMxNDk5NTtBUzo0MjM5MjU1MTI0NDU5NThAMTQ3ODA4MzEyNjQ3Mw%3D%3D&el=1_x_7&_esc=publicationCoverPdfhttps://www.researchgate.net/profile/Ching-Chieh-Kiu?enrichId=rgreq-cca967afc2ba6f6a8e5cf10d3029ad9b-XXX&enrichSource=Y292ZXJQYWdlOzMwMzMxNDk5NTtBUzo0MjM5MjU1MTI0NDU5NThAMTQ3ODA4MzEyNjQ3Mw%3D%3D&el=1_x_10&_esc=publicationCoverPdf

  • Int. J. Business Information Systems, Vol. x, No. x, xxxx 1

    Copyright © 200x Inderscience Enterprises Ltd.

    E-Commerce market trends: A case study in leveraging Web 2.0 technologies to gain and

    improve competitive advantage

    Ching-Chieh Kiu *

    School of Computing and IT

    Taylor's University,

    47500 Subang Jaya, Selangor, Malaysia

    E-mail: [email protected]

    *Corresponding author

    Chien-Sing Lee

    Faculty of Science and Technology

    Sunway University

    47500 Sunway City,

    Selangor, Malaysia E-mail: [email protected]

    Abstract: The emergence of Web 2.0 technologies have changed the way e-commerce can be sustained and improved to enhance competitive advantage. Integrating Web 2.0 technologies into e-commerce websites not only improves customer shopping experience but also enhances customer engagement. These evolutions in organizational and technological development require categorization in order to be understood holistically and consequently, to be exploited fully. This paper evaluates the adoption of Web 2.0 technologies in Malaysian E-commerce. The paper also examines Malaysian E-Commerce engagement on Web 2.0 technology platforms to improve customer shopping experience and customer engagement at their online retail store. Findings on Web 2.0 technologies’ usage in 10 top e-commerce websites in Malaysia shows that most of the e-commerce websites have substantially integrated Web 2.0 technologies in their online retail store to gain and improve their competitive advantage. Furthermore, increased frequency of engagement in social mediums such as Facebook increases impact in terms of effect on customer shopping experience and customer engagement at online retail stores. In summary, Web 2.0 technologies influence changes in customer purchase behavior, shopping experience and ultimately, the dramatic change in top 10 ranking in the Malaysian e-commerce landscape. Keywords: Competitive Advantage, E-Commerce, Online Shopping, Web 2.0 Technologies

    Reference to this paper should be made as follows: XXX Biographical notes: Ching-Chieh Kiu received her Bachelor of Business Administration and Master in Information Technology from National University

  • Author

    Malaysia, and Doctor of Philosophy from Multimedia University. Her research interests are semantic web, ontology, web 2.0 technologies, data mining, machine learning, natural language processing, e-learning, e-commerce and knowledge management. She has published several journal and conference papers in ISI-rated and SCOPUS-rated. Chien-Sing Lee is a Professor in the Faculty of Science and Technology at Sunway University. Her research interests revolve around creativity and creativity tools, personalized learning (self-directed, lifelong learning, learning analytics), visual analytics, design research, games-based learning, mobile learning, Semantic Web and E-commerce. She is an IEEE Senior member since 2007.

    1 Introduction

    The emergence of Web 2.0 technologies has immensely changed the implementation of

    online commerce or e-commerce websites and the way e-commerce is sustained

    competitively. Web 2.0-based e-commerce, also known as social commerce, involves blogs, podcasts, tagging, mash-ups, social networks, and etc. (Nowshade 2006; Zhang &

    Wang 2006; Zhu et. al, 2006). These Web 2.0 technologies enable customers to share

    information, experiences and opinions on products (Jascanu et. al. 2007). Customers have

    more information for decision making not only from a company but also from other customers to build their e-commerce business.

    Web 2.0 is important for e-commerce. With the adoption of Web 2.0 technologies in

    e-commerce (Figure 1), large data that are highly relevant to the users can be dynamically

    collected, analyzed and synthesized for strategic benefits. Understanding end user perceptions, companies and marketplaces can shape their Web 2.0 initiatives for successful

    adoption and integration into their online stores (Kosalge, 2015). For example, to create

    competitive advantage, Linda (2009) and Jonathan and Chrysta (2011) suggest that e-

    commerce companies can: 1. build websites that can provide

    a) easier, cheaper and faster ways to reach customers; b) the ability to create richer user experiences;

    2. create greater price transparency across firms; 3. create more effective interaction and communication between customers and

    company, and also among customers.

    As such, online retailers need to assess Web 2.0 technologies and incorporate the

    functionality of the technologies into their e-commerce websites in order to help them to improve their competitive advantage in marketplaces. Through engineering management,

    appropriate Web 2.0 technologies can be identified and leveraged into e-commerce

    websites based on the intensity of products or services in order to provide intense consumer

    engagement and to enhance sustainable competitive advantage of the company.

    With the identified Web 2.0 technologies and implementation on e-commerce, it

    creates an interactive community platform for customers to share, review and discuss

    products or services (Zhou, 2015; Kucukcay & Benyoucef, 2014). The information can be

    used by customers and other potential customers to support decision making on their purchases. In addition, the information can be used to support company decision making

    to deliver the right promotion, news, products or services to the online marketplace. Hence,

    the potential of Web 2.0 to companies is undeniable. The significance of social media

  • Title

    influence on e-commerce adoption by small- and medium-sized enterprises (SMEs) is also

    supported by Abed et al. (2015).

    E-commerce has moved towards the Semantic Web, which enables intense personalization and relevancy-drivers (Kiu et. al. 2010), to provide greater impact on brand

    building, peripheral experiences and purchase interactions. The Semantic Web thus

    provides great potential in enhancing e-commerce competitive advantage (Alor-Hernández

    et al., 2014; Turban et al., 2015; Lu et al., 2015). Combining Web 2.0 technologies with Semantic Web technologies can subsequently positively contribute to the way customers

    perform product data sharing and product searching, and also the way companies perform

    decision making.

    These Web 2.0 technologies and evolutionary trends to Semantic Web-based e-commerce are illustrated by Jonathan et. al.’s (2011) framework illustrated in Figure 1.

    Zwass (2003) further finds that categorization of e-commerce is needed in order for it to

    be understood as an ecosystem and exploited fully. He suggests that we should look at

    these aspects of e-commerce: commerce, collaboration, communication, connection, and computation.

    Figure 1 The Evolution of Web 1.0, Web 2.0 and Web 3.0

    Source: Jonathan et. al. (2011)

    Meanwhile, Zioupou et al.’s (2014) study on Business Information Systems (BIS) adoption in the Greece agri-food sector leads us to another factor affecting global e-

    commerce. Interested in determinants of ‘transaction climate’, they build on Patterson et

    al.’s (2003) theoretical model, which consists of seven BIS adoption determinants. After

    factor analysis, their findings indicate that ‘transaction climate’, which constitutes the social component within business relations and business organizations, can be measured

  • Author

    by commitment, satisfaction and reliability. These three criteria will determine the success

    of exchanges in data systems and the level of cooperation between the business and its

    partners. These also determine organizational change, a prerequisite for effective BIS adoption.

    In view of the above frameworks, our research objectives are to:

    1. examine the Malaysian e-commerce scenario changes between 2014 and 2015;

    2. evaluate the adoption of Web 2.0 technologies among top 10 e-commerce companies in Malaysia;

    3. identify which Web 2.0 technologies have contribute towards the success of the current top e-commerce in Malaysia;

    4. examine Malaysia E-Commerce engagement on Web 2.0 technologies to improve customer shopping experience and customer engagement on their online retail store

    In Section 2 of this paper, the literature review comprising of e-commerce market

    trends and the role and impact of Web 2.0 technologies in E-commerce are discussed.

    Research methodology is presented in Section 3. Meanwhile research findings and discussion on Web 2.0 technology usage among the top 10 Malaysian E-commerce are

    explicated in Section 4. The final section provides our paper’s conclusions with research

    limitation and future work.

    2 Literature review

    2.1 E-Commerce market trends

    E-commerce is a model for trading products or services via the Internet. E-commerce has

    a great impact in our lives. Without e-commerce, life seems unfathomable, complicated and inconvenient (Miva 2011). In 1995, some successful and large online retails were

    launched, namely Amazon, E-Bay and Zappos. With the success of Web directories by

    Yahoo in 1995 and Google in 1998, Google Shopping and Yahoo! Auction were launched

    too. E-commerce is evolving and expanding exponentially with the emergence of mobile

    commerce or m-commerce, in line with the growth of Internet users and with the increment

    of smart phones and tablet device users (Xu et al., 2010). Mobile commerce, a subset of e-

    commerce, delivers e-commerce capabilities to customers via wireless technology. “The market for mobile payments is expected to quadruple by 2014, reaching $630 billion in

    value. Total sales in ecommerce have grown from $27.6 billion in 2000 to $143.4 billion

    in 2009 and are expected to continue its growth for the foreseeable future (Miva 2011)”.

    By 2017, purchases made on mobile devices will make up 25% of the market (Enright 2017). By 2012, Asian countries has captured nearly half of the US$230 billion in revenue

    of global m-commerce. It is also predicted that global m-commerce will be able to capture

    US$700 billion in revenue by 2017 (Leighton 2014).

    The emergence of Web 2.0 technologies have positively contributed and played a significant role in e-commerce activities. With these technologies, the conversation

    between businesses and customers has become more responsive, making it easier for

    transactional exchanges to occur online. Internet retailers can create better content and a

    realistic shopping experience for their customers. Commonly, there are four e-commerce models. They are B2B (Ariba, SAP), B2C

    (Yahoo, Webvan, Amazon), C2B (Priceline), C2C (E-Bay, lelong.com.my). The evolution

    of the information technologies and infrastructures has resulted in a new E-Commerce

  • Title

    model, namely B2B2C (Rakuten). E-commerce is important commodities for business

    organizations to perform transaction over the internet. E-commerce has revolutionized

    business implementations, change B2B operations and B2C operations especially in the process of buying, selling and exchanging products and services, (Velmurugan, 2012; Pan

    et al., 2014; Lee, 2013).

    In Malaysia, there were 17 million Internet users in Malaysia in 2011, and it was

    projected that it will increase to 21 million in 2015 which was 66% of the Malaysian population. According to Nielsen-PayPal, the Malaysian e-commerce market size was

    RM1.97 billion in 2011 as depicted in Figure 2. Given that 24% (RM467 million) of the e-

    commerce market size was contributed by m-commerce, 72% (RM337 million) was spent

    on smartphones while 23% (RM108 million) spent on tablets (Wong 2014). The Malaysian e-commerce market size is forecasted to be RM5.76 billion in 2015 and of this, 60%

    (RM3.43 billion) is in m-commerce. The mobile commerce market size is forecasted to

    increase from 5.49% in 2010 to 59.55% in 2015. Meanwhile the e-commerce market size

    is estimated to increase from 216% in 2010 to RM 5.76 billion in 2015. Hence, e-commerce in Malaysia has increased tremendously from 2010 to 2015.

    Figure 2 E-commerce market size in Malaysia.

    The Malaysian e-commerce landscape can be classified into 11 categories as presented

    in Figure 3. Lelong.my launched in 1998 and is featured as the first local e-commerce in Malaysia, followed by AirAsia online website launched in 2001, and Ebay Malaysia

    (ebay.com.my) in 2004 as outlined in Figure 4. iPay88 featured as the first Malaysian local

    payment gateway established in 2005, while PayPal accepted Ringgit Malaysia (RM) to

    support online transactions in 2009. Korean e-commerce, namely Gmarket entered Malaysia in 2011 and has renamed Qoo10 in 2012. Meanwhile Japan e-commerce, Rakuten

    launched its online marketplace in Malaysia in 2012. In the same year, Rocket Internet

    launched Lazada and Zalora in the Malaysian e-commerce marketplace. 11Street, an e-

    commerce site based in South Korea, officially launched its online marketplace in Malaysia in April 2015.

    Malaysian online shoppers not only purchased online from local e-commerce websites

    but also actively made online purchases via international e-commerce such as

    Amazon.com, Ebay.com, Taobao.com, Tmall.com and Alibaba.com. Tesco was the first Malaysian hypermarket and retail chain that went online in 2013. On top on these, online

  • Author

    ticketing, online food delivery, luxury shopping and lifestyle shopping are other well-

    established e-commerce categories in Malaysia as presented in Figure 4.

    Figure 3 E-commerce classification in Malaysia

    Source: Wong (2014)

    Figure 4 E-commerce milestone in Malaysia

    Source: Wong (2014)

  • Title

    2.2 Roles and impacts of web 2.0 technologies in e-commerce

    Web 2.0 technologies “allow users to interact and collaborate with each other in a social media dialogue as creators of user-generated content in a virtual community. Examples of

    Web 2.0 include social networking sites, blogs, wikis, folksonomies, video sharing sites,

    hosted services, Web applications, and mashups” as described by Wikipedia (Wikipedia

    2014). Web 2.0 is a platform that provides a rich user experiences, users control their online experience and influence the experiences of others through social networks (Funk, 2008).

    Web 2.0 technologies such as blogging/podcasting and participating in social networks

    such as Youtube, Facebook, Twitter enable customers to engage, create and share contents

    (Zhang 2012; Zhu et. al. 2006; Kosalge, 2015; Abed et al., 2015) and provide product reviews. Customer reviews can move customers from consideration to purchase. E-

    commerce websites with an absence of customer community activity may feel "empty"

    compared to those that feel "alive" with activity and communication.

    Tagging provides users with a better method of finding products by incorporating user-added keywords or “tags”. If a user likes a product and wants buy it now, or keep reference

    of it for future use, he or she can add one or several informal keywords as tags and save.

    These tags are visible to others and can be displayed in two ways: in tag clouds, where the

    most popular tags have bigger fonts and most recent tags, and a list of newly added tags (David 2007).

    Through Mashups, customers can now look for ways to pair up similar items, even

    those that are from different brands or sites. Meanwhile, RSS can be used as notification

    ability instead of email to enhance product information request service (David 2007). RSS can also serve as an alternative way to share deals and coupons, promote contests or

    promotion.

    In Web 2.0 e-commerce, customers decide what to buy and whether the e-commerce

    website is reliable and reputable. Customers will pick the best e-commerce store based on their trust in it. A survey from (Nowshade 2006) revealed that online sales increased for

    83% of respondents with the adoption of new interactive functionalities, innovative product

    catalogue and better communication with users on e-commerce websites. The impact of

    Web 2.0 technologies to e-commerce is summarized in Table 1 (Errol 2006). Table 1 Impact of Web 2.0 Technologies in E-Commerce

    Impact Web 1.0 Web 2.0

    Demand

    generation

    Demand is pushed to the

    customer by retailer ads

    “Word-of-mouth” demand is

    generated by the community

    Personalized

    experience

    Non-differentiated services such

    as address book, shopping lists

    Personalized user desktop

    tailored to individual needs

    Browse and

    research

    Retailer-defined catalog and navigation

    Rich interactive tools to browse and compare, augmented by

    peer reviews

    Configure

    and select

    Related items selected separately without visual

    clue for the overall look

    Engaging experience with visualization and product

    selections

  • Author

    Shop and

    transact

    Significant dropout due to

    lengthy multipage checkout

    Sales conversion through

    intuitive single-page checkout

    Service and

    support

    Retailers provide answers to

    common problems

    Community helps to solve

    all problems

    Remarket Focus on retaining the individual customer

    Use the customer as an advocate to attract new

    customers

    The top 10 Web 2.0 applications (Linda 2009) that provide immense impact on E-commerce websites and contribute to competitive advantage are illustrated in Figure 5.

    1. Customer Reviews: Review is a customer feedback made by a customer who has purchased the product from E-commerce websites. It is the most effective Web 2.0

    technology to circumvent competitors and build online reputation of the e-commerce website. Commonly, customers will do a research on e-commerce websites before they

    decide to deal with them, hence a positive customer review on the e-commerce website

    will give a positive influence on customer decision to purchase from them. Meanwhile,

    a positive customer review on a product may boost its sale. Reviews attract new customers to e-commerce website, and it help to retain existing customers. In addition,

    reviews build customers trust and confidence about purchases. According to

    Shopatron (2013), approximately 75% of reviews are positive and 82% of user-

    generated reviews are valuable. User reviews lead to a 74% in conversion rate. 2. Shopping Widgets: Shopping widgets also known as ecommerce widgets are portable

    content that can be displayed anywhere on the websites or blogs. This allows retailers

    to push an interactive experience to affiliate sites, customer sites, social networks and

    more. Visitors or customers are brought in to e-commerce websites via shopping widgets. It also reduces friction for the customers between product discovery and

    product purchase by allowing them to browse retailer products and make a purchase

    right from websites or blogs.

    3. Question and Answer: The tools bring the conversation right onto the product page, and open up questions of the product to online retailer. Online shopper post questions

    to seek more information on the products. Questions and answers improve product

    information.

    4. Twitter: Another medium for customers to get connected with e-retailers to ask and answer questions on products and services. Customers can get nearly instant answers

    to questions directed.

    5. User- Generated Cross Sells and Photos: In e-commerce, cross selling simply observes that “customers who buy X will also buy Y”. Other related products or suggested products are shown or listed on the product page to customers. This can help

    customers to discover new items. User-submitted photos can definitely improve

    customer shopping experience and increase sales at the e-commerce websites.

    6. Facebook Pages: It creates a social network for their most raving fans who live where they play, not on the retailer’s website. This makes it much easier to share and invite

    other friends to participate, rather than forwarding emails or product pages to friends

    to drive people to the retailer’s website.

    7. Co-Browsing: This technology adds a social component to a retail site by offering the ability to invite a friend to co-browse an online store in real-time.

  • Title

    8. Social Widgets: Facebook share widget, Twitter widget, and Google Friend Connect on the website’s home page or product pages. A study discovered that a Facebook user

    aged 18-24 has 510 friends and 65% of users claimed they considered information shared on social networks when it comes to making a purchase decision (Shopatron

    2013). Providing and associating social widgets on the products page with the ability

    to like and share products via Facebook, Twitter, Pinterest, Instagram or other social

    network platforms are the best marketing reach with minimal effort. 9. Retail Blogging: Establish connection with customers, talk about new products, share

    interviews, videos, podcasts, news and photos. They can be a branding or loyalty

    vehicle. They can attract links and search engine traffic to e-commerce websites.

    10. Video Sharing: Videos are potent ways to add a sense of glossy touch to the online store. Videos are able to boost the conversion rate and SEO rankings of e-commerce

    websites. Customers not only want to see pictures of the products, but they want to

    know more about the features and functionalities of the products. This can be presented

    using videos. Customer engagement via videos are more promising compared to long pages of reviews and a few images to describe the products. Video sharing via

    Facebook or Pinterest, can virally help to improve competitive advantage of e-

    commerce.

    Figure 5 Impact ranking of Web 2.0 technologies

    3 Methodology

    The top 10 e-commerce websites in Malaysia were captured within two different periods.

    The first dataset was collected on 22 May 2014 and the latest dataset was collected on 31

    July 2015 from alexa.com as presented in Table 2. As can be seen from Table 2, local e-commerce websites (lelong.com.my, lazada.com.my, ebay.com.my, zalora.com.my and

    11street.my) are low in global ranking as their online marketplaces are locally focused. E-

    commerce from China namely, Taobao, Aliexpress, Alibaba and Tmall have dominated

    Malaysian marketplaces as evidenced by the traffic ranking. International e-commerce which are highly participated by online shoppers are Amazon, Apple and Ebay.

  • Author

    In May 2014, Zalora was not ranked as the top 10 e-commerce in Malaysia while

    11street was without ranking statistic as it was only launched in the Malaysian marketplace

    in April 2015. However, the statistic in July 2015 showed that Zalora ranked top and 11th street top five. Furthermore, Tmall and Ebay Malaysia fell out from the top 10 e-commerce

    listing.

    We next evaluated the E-commerce websites based on their adoption of top 10 Web

    2.0 technologies as discussed in Section 2.2 (Linda 2009). In addition, due to the popularity of social media activities in Malaysia as shown in Figure 6, e-commerce adoption on

    Facebook and Twitter were collected. Findings are presented in Section 4. As can be seen

    in Figure 6, Facebook is the top social media followed by Youtube, blogspots and Twitter.

    The later emerging Web 2.0 technologies such as Instagram and Pinterest also impacted the daily social media activities of Malaysia online users.

    Table 2 Top 10 E-Commerce Websites in Malaysia (May 2014 vs. July 2015)

    Alexa as of 22 May 2014 Alexa as of 31 July 2015

    E-Commerce Website Global

    Ranking

    Malaysian

    Ranking

    E-Commerce

    Website

    Global

    Ranking

    Malaysian

    Ranking

    Lelong.com.my 2992 12 Lazada.com.my 2187 10

    Taobao.com 9 19 Amazon.com 6 15

    Amazon.com 12 20 Lelong.com.my 4080 23

    Lazada.com.my 5453 28 Taobao.com 10 35

    Ebay.com 23 32 11street.my 10124 40

    Alibaba.com 72 40 Alibaba.com 62 41

    Apple.com 48 50 Apple.com 49 53

    Aliexpress.com 69 68 Zalora.com.my 9945 61

    Ebay.com.my 13993 81 Ebay.com 18 63

    Tmall.com 22 82 Aliexpress.com 35 68

    Zalora.com.my 13782 99 Tmall.com 24 117

    11street.my - - Ebay.com.my 19146 159

    82

    81

    68

    50

    40

    32

    28

    20

    19

    12

    Tmall.com

    Ebay.com.my

    Aliexpress.com

    Apple.com

    Alibaba.com

    Ebay.com

    Lazada.com.my

    Amazon.com

    Taobao.com

    Lelong.com.my

    68

    63

    61

    53

    41

    40

    35

    23

    15

    10

    Aliexpress.com

    Ebay.com

    Zalora.com.my

    Apple.com

    Alibaba.com

    11street.my

    Taobao.com

    Lelong.com.my

    Amazon.com

    Lazada.com.my

    http://www.alexa.com/siteinfo/lelong.com.myhttp://www.alexa.com/siteinfo/lazada.com.myhttp://www.alexa.com/siteinfo/taobao.comhttp://www.alexa.com/siteinfo/amazon.comhttp://www.alexa.com/siteinfo/amazon.comhttp://www.alexa.com/siteinfo/lelong.com.myhttp://www.alexa.com/siteinfo/lazada.com.myhttp://www.alexa.com/siteinfo/taobao.comhttp://www.alexa.com/siteinfo/ebay.comhttp://www.alexa.com/siteinfo/11street.myhttp://www.alexa.com/siteinfo/alibaba.comhttp://www.alexa.com/siteinfo/alibaba.comhttp://www.alexa.com/siteinfo/apple.comhttp://www.alexa.com/siteinfo/apple.comhttp://www.alexa.com/siteinfo/aliexpress.comhttp://www.alexa.com/siteinfo/zalora.com.myhttp://www.alexa.com/siteinfo/ebay.com.myhttp://www.alexa.com/siteinfo/ebay.comhttp://www.alexa.com/siteinfo/tmall.comhttp://www.alexa.com/siteinfo/aliexpress.comhttp://www.alexa.com/siteinfo/zalora.com.myhttp://www.alexa.com/siteinfo/tmall.comhttp://www.alexa.com/siteinfo/11street.myhttp://www.alexa.com/siteinfo/ebay.com.my

  • Title

    Figure 6 Social Media Popularity

    4 Research findings and discussion

    4.1 E-commerce trend in Malaysia

    As can be seen from Table 2 and Figure 7, there is an immense change of e-commerce

    ranking in global ranking and Malaysia ranking within 14 months (May 2014 - July 2015).

    Lazada traffic was ranked 28 and made it as top fourth e-commerce website in May 2014 in Malaysia. However, in July 2015, Lazada traffic has tremendously improved its social

    marketing activities and turned out to be top in e-commerce. Zalora was not classified as a

    top 10 e-commerce in May 2014. However it ranked as top eighth in July 2015. 11street

    was launched in April 2015 and has become top fifth e-commerce in Malaysia even though it ranked low in global traffic.

    The popularity of these e-commerce websites can be articulated from Google search

    terms as illustrated in Figure 8. Lelong.com.my is the most favourable e-commerce website

    followed by lazada.com.my in Malaysia in May 2014. However from Jun 2014 onward, search term outcomes from Lazada has overtaken Lelong.com.my and made it the most

    favourable e-commerce website in Malaysia. E-commerce websites from China such as

    Taoboa.com, Alibaba.com, Aliexpress.com and Tmall.com have significant global ranking

    and also favourable e-commerce stores for online shoppers in Malaysia. However their search terms are relatively low in Malaysia due to customers searching their products

    directly through their e-commerce websites instead of via Google search engines as shown

    in Figure 8.

    Access from Google page to e-commerce websites can be via Google AdSense instead of through Google search terms. This explains why although the e-commerce websites such

    as Zalora, Ebay and 11street have relatively low search terms, their Google click stream

    (Figure 9) data are relatively high. 11street was a favoured e-commerce website as depicted

    in Figure 7 although its Google search term was relatively low as shown in Figure 8. However, its click stream data indicated 11street’s visitors were mostly from Facebook

    (9.1%) and Google (19.20%). As can be seen in Figure 9, local e-commerce Lazada, Zalora,

    Lelong and 11street have actively participated in Facebook to improve their customers’

    shopping experience and also to enhance competitive advantage among their competitors.

  • Author

    Apple was a favoured e-commerce website among the online shoppers due to their unique

    products. This was supported by notable search terms and Google click stream data.

    Figure 7 E-Commerce Traffic Ranking

    Figure 8 Search Term on the Malaysian Top 10 E-Commerce Websites (Jun – July 2015)

    1015

    23

    3540 41

    5361 63

    68

    117

    159

    2820

    1219

    0

    4050

    99

    32

    68

    82 81

    Lazada.co

    m.m

    y

    Am

    azon

    .com

    Lelon

    g.com

    .my

    Taob

    ao.co

    m

    11

    street.my

    Alib

    aba.co

    m

    Ap

    ple.co

    m

    Zalora.co

    m.m

    y

    Ebay.co

    m

    Aliexp

    ress.com

    Tmall.co

    m

    Ebay.co

    m.m

    y

    Jul-15 Jun-14

  • Title

    Figure 9 E-Commerce Websites Click Stream Traffic from Facebook and Google

    4.2 Web 2.0 adoption and impact on e-commerce

    We evaluated the E-commerce websites on their adoption of the top 10 Web 2.0

    technologies identified by Linda (2009) and as discussed in Section Error! Reference source not found. below. To recap, these technologies are:

    1. Customer reviews 2. Shopping Widgets 3. Question and Answer 4. Twitter 5. User Generated Cross Sells and Photos 6. Facebook Pages 7. Co-Browsing 8. Social Share Widgets (email, Facebook, Twitter, Pinterest, Google Circle, etc.) 9. Retail Blogging 10. Video Sharing (YouTube) The adoption of the defined Web 2.0 technologies is summarized in Table 3. All e-

    commerce websites are well-linked and integrated with social media. Social media

    activities in Malaysia are popular given that Facebook, YouTube and Twitter popularity

    are ranked no. 2, 3 and 17 respectively as shown in Figure 6 (Alexa, 2015). Hence,

    integrating these social media in E-commerce websites contribute positively to improving consumer shopping experience, which made these e-commerce websites sustain better

    against their competitors. Through these Web 2.0 technologies, customer engagement on

    e-commerce websites can be more interactive and also improve customer decision making

    on product purchases. As presented in Table 3, Facebook and Twitter are the main social media integrated in

    E-commerce websites. Facebook and Twitter engagement of e-commerce websites are

    summarized in Table 4 and Table 5 respectively. Most of the E-commerce websites have

    well-established Facebook pages for interacting with their customers. Facebook and Twitter serve as platforms to:

    1. increase the intensity of the focus on the customer relationship and improve customer shopping experience;

    2. provide and share the latest product information and promotion in real-time with their customers;

  • Author

    3. improve customer engagement and loyalty; 4. build discussion around products, to enable customers to make better decisions on

    purchase.

    Customer reviews and social sharing widgets components are integrated into the

    products page by a majority of the e-commerce websites as shown in Table 3. The adoption

    of social sharing widgets by e-commerce websites are summarized in Table 5. Meanwhile, co-browsing and retail blogging are missing from the E-commerce websites due to their

    unpopularity, high cost and effort in implementation and maintenance.

    Table 3 Web 2.0 Adoption in E-Commerce Websites

    E-Commerce

    Cu

    stom

    er R

    evie

    ws

    Sh

    op

    pin

    g W

    idgets

    Qu

    est

    ion

    & A

    nsw

    er

    Tw

    itte

    r

    Use

    r G

    en

    erate

    d C

    ross

    Sel

    ls

    an

    d P

    hoto

    s

    Faceb

    ook

    Pa

    ges

    Co

    -Brow

    sin

    g

    Socia

    l S

    hare W

    idget

    s

    Reta

    il B

    loggin

    g

    Vid

    eo S

    harin

    g

    Lazada.com.my - - -

    Amazon.com - - -

    Lelong.com.my - - -

    Taobao.com - - - - - -

    11street.my - - - -

    Alibaba.com - - - - -

    Apple.com - - - - - -

    Zalora.com.my - - -

    Ebay.com - - - -

    Aliexpress.com - - - -

    Tmall.com - - - - - - - -

    Ebay.com.my - - - - - -

    http://www.alexa.com/siteinfo/lazada.com.myhttp://www.alexa.com/siteinfo/amazon.comhttp://www.alexa.com/siteinfo/lelong.com.myhttp://www.alexa.com/siteinfo/taobao.comhttps://www.facebook.com/11street.my/likeshttp://www.alexa.com/siteinfo/alibaba.comhttp://www.alexa.com/siteinfo/apple.comhttps://www.facebook.com/ZaloraMalaysia/likeshttp://www.alexa.com/siteinfo/ebay.comhttp://www.alexa.com/siteinfo/aliexpress.comhttp://www.alexa.com/siteinfo/tmall.comhttp://www.alexa.com/siteinfo/ebay.com.my

  • Title

    Table 4 Facebook Engagement Activities of E-Commerce Websites

    E-Commerce Date of

    Created

    FB Like

    May 2014

    Increment

    of FB

    Like

    July 2015

    FB Like Total Page

    Likes

    Frequency of

    Engagement

    Lazada.com.my 27/2/2012 916.1K 1209.90% 12M 12,244,121 Everyday

    5 – 9 Postings

    Amazon.com 7/3/2008 23.9M 4.60% 25M 25,872,389 Everyday

    2-4 postings

    Lelong.com.my 6/12/2009 170.7K 17.75% 201K 201,619 Everyday

    2-3 postings

    Taobao.com 10/9/2013 152.1K 29.52% 197K 190,807 Everyday

    1-2 postings

    11street.my 5/2/2015 - - 274K 275,265 Everyday

    3 – 5 Postings

    Alibaba.com 27/1/2008 126.1K 87.15% 236K 236,401 Weekly

    2-3 posting

    Apple.com 26/7/2011 11.4M 110.53% 24M - Everyday

    6 - 20 Postings

    Zalora.com.my 11/1/2012 870K 624.14% 6.3M 6,306,555 Everyday

    4 – 8 Postings

    Ebay.com

    30/8/2012 3.1M 125.81% 7.7M 7,740,805

    Everyday

    1 - 3 Postings

    Aliexpress.com 24/2/2010 141.6K 1029.94% 1.6M 1,694,910 Everyday

    1-2 postings

    Tmall.com - - - - - -

    Ebay.com.my 12/7/2010 308K 20.45% 371K 371,323 Weekly

    1-2 posting

    Table 5 Twitter Engagement Activities and Social Sharing Widgets of E-Commerce Websites

    E-Commerce Twitter Social Share Widgets

    Date of

    Created

    Tweets Followers Frequency of

    Engagement

    Website

    Share

    Widgets

    Product

    Share

    Widgets

    Lazada.com.my February

    2012

    916.1K 5700 Everyday

    10 – 13 tweets

    Facebook

    Twitter

    Linkedin

    Google+

    Youtube

    Facebook

    Twitter

    Google+

    Pinterest

    tumblr

    Amazon.com February

    2009

    14.2K 2M Everyday

    10 – 13 tweets

    - Email

    Fcaebook

    Twitter

    Pinterest

    Lelong.com.my August

    2011

    922 234 Everyday

    8 – 12 tweets

    Facebook Facebook

    Google+

    Twitter

    Taobao.com June 2009 3 - not active

    - -

    11street.my - 996 864 Everyday

    5 – 10 tweets

    Facebook

    Twitter

    Facebook

    Twitter

    https://www.facebook.com/LazadaMalaysia/likeshttps://www.facebook.com/Amazon/likeshttps://www.facebook.com/lelong.com.my/likeshttps://www.facebook.com/taobaosea/likeshttps://www.facebook.com/11street.my/likeshttp://www.alexa.com/siteinfo/alibaba.comhttp://www.alexa.com/siteinfo/apple.comhttps://www.facebook.com/ZaloraMalaysia/likeshttps://www.facebook.com/eBay/likeshttps://www.facebook.com/AliExpress/likeshttp://www.alexa.com/siteinfo/tmall.comhttps://www.facebook.com/eBay.Malaysia/likeshttps://www.facebook.com/LazadaMalaysia/likeshttps://www.facebook.com/Amazon/likeshttps://www.facebook.com/lelong.com.my/likeshttps://www.facebook.com/taobaosea/likeshttps://www.facebook.com/11street.my/likes

  • Author

    Instagram

    Alibaba.com April 2009 4133 33.7K Weekly

    1 – 3 tweets

    Facebook

    Twitter

    Youtube

    Linkedin

    Facebook

    Twitter

    Pinterest

    Google+

    Apple.com March

    2011

    5317 964 Everyday

    1 – 6 tweets

    - -

    Zalora.com.my December

    2011

    22.3K 18.7K Everyday

    8 – 10 tweets

    Facebook

    Instagram

    Youtube

    Twitter

    Pinterest

    Blogs

    Google+

    Facebook

    Twitter

    Google+

    Email

    Ebay.com

    January

    2009

    19.9K 517K Everyday

    3 – 10 tweets

    Blogs

    Facebook

    Twitter

    Google+

    Email

    Facebook

    Twitter

    Pinterest

    Aliexpress.com - 754 1593 Not active

    Facebook

    Twitter

    Pinterest

    Facebook

    Twitter

    Google+

    Email

    Tmall.com - - - -

    - -

    Ebay.com.my July 2012 185 128 Not active

    Facebook

    Twitter

    Email,

    Facebook,

    Twitter,

    Pinterest

    5 Conclusions

    In this paper, our findings indicate that most e-commerce websites in Malaysia are integrated with Web 2.0 technologies and are actively engaged on various Web 2.0

    technologies to provide product information and promotion deals to customers. This

    indicate companies themselves have to determine and utilize these technologies to sustain

    their competitive advantage. They need to evaluate new Web 2.0 technologies from time to time and also need to identify how these new technologies can contribute positively to

    improving their competitive advantage.

    The study also indicates that Web 2.0 technologies provide great potential in

    improving customers’ shopping experiences. Customers can obtain information and seek response from e-commerce retailers more effectively and faster; saving time, reducing

    shopper frustration and shopping cart abandonment. In order to gain sustainable

    competitive advantage, companies need to evaluate future innovations of Web 2.0

    technologies based on customer needs. However, the characteristic of the product or service and the brand determine the type of innovation and technology adoption in E-

    commerce websites. Not all products or services and not all brands require or desire

    engagement and interaction between company and customers.

    http://www.alexa.com/siteinfo/alibaba.comhttp://www.alexa.com/siteinfo/apple.comhttps://www.facebook.com/ZaloraMalaysia/likeshttps://www.facebook.com/eBay/likeshttps://www.facebook.com/AliExpress/likeshttp://www.alexa.com/siteinfo/tmall.comhttps://www.facebook.com/eBay.Malaysia/likes

  • Title

    5.1 Limitation of the research

    The findings of this research is only for a specific period of time, i.e., from 2014 to 2015. Since e-commerce and Web 2.0 technologies are very dynamic, the trend may

    change again. However, the findings can be applied to similar e-commerce contexts.

    5.2 Future work

    The research sampling is limited to top 10 Malaysian e-commerce only, namely

    Lazada.com.my, Amazon.com, Lelong.com.my, Taobao.com, 11street.my, Alibaba.com,

    Apple.com, Zalora.com.my, Ebay.com and Aliexpress.com. There are other popular E-commerce retail stores in Malaysia which are excluded in this study as their popularity has

    dropped from top 10 ranked by Alexa.com, such as Groupon.my, Qoo10.my,

    Ensogo.com.my and Goshop.com.my (Wong, 2015). Including them to the study might

    provide better findings on how these companies utilize Web 2.0 technologies and activities to improve competitive advantage and customer engagement on their E-commerce in

    Malaysia due to their localness.

    This research has also discussed the top ten Web 2.0 technologies in gaining and

    improving competitive advantage in E-commerce. Facebook advertisement, AdWords, on-site merchandising and promotion and Website user experience (both desktop and mobile),

    are Web 2.0 technologies. Their impacts and roles on customer engagement and

    competitive advantage on e-commerce online stores can be further explored.

    Acknowledgements

    The authors would like to take this opportunity to express deepest gratitude to the reviewers for their invaluable input throughout the reviewing process.

    References

    Abed, S. S., Dwivedi, Y. K. and Williams, M. D. (2015) ‘SMEs' adoption of e–commerce

    using social media in a Saudi Arabian context: a systematic literature review’,

    International Journal of Business Information Systems, 19(2), 159-179.

    Alexa (2015), ‘Top Site In Malaysia’, [online]

    http://www.alexa.com/topsites/countries/MY (accessed 31 July 2015).

    Alor-Hernández, G., Sánchez-Ramírez, C., Cortes-Robles, G., Rodríguez-González, A.,

    García-Alcaráz, J. L. and Cedillo-Campos, M. G. (2014) ‘BROSEMWEB: A brokerage service for e-Procurement using Semantic Web Technologies’, Computers

    in Industry, 65(5), pp. 828-840.

    David, F. (2007), ‘Web 2.0 E-Commerce: A New Era of Competition’, [online]

    http://www.ecommercetimes.com/story/58640.html (accessed 31 July 2015).

    Enright, A. (2014), ‘Top 500 U.S. E-Retailers - U.S. e-commerce sales could top $434

    billion in 2017’, Internet Retailer.

    Errol, D. (2006), ‘Transforming the shopping experience with Web 2.0’, IBM WebSphere

    Commerce.

    http://www.alexa.com/topsites/countries/MYhttp://www.ecommercetimes.com/story/58640.html

  • Author

    Funk, T. (2008) ‘Web 2.0 and beyond: Understanding the new online business models,

    trends, and technologies’, Praeger Publishers.

    Jascanu, N., Jascanu, V. and Nicolau, F. (2007) ‘A New Approach To E-Commerce Multi-Agent Systems’. The Annals of ‘Dunarea De Jos’ University of Galati: Fascicle III

    Electrotechnics, Electronics, Automatic Control and Informatics, 8-11, 2007.

    Jonathan, L., Chrysta, G. and John, G. (2011) ‘Evaluating Web 2.0 Innovations in E-

    Commerce: A Framework for Future Development’, The Tuck School at Dartmouth.

    Kiu, C. C., Yuen, L. Y. and Tsui, E. (2010) ‘Semantic Interoperability for Enhancing

    Sharing And Learning Through E-Government Knowledge-Intensive Portal Services’,

    International Journal of Knowledge and Systems Sciences (IJKSS).

    Kosalge, P. (2015) ‘An empirical examination of Web 2.0 technologies and its readiness for business’, International Journal of Business Information Systems, 19(1), pp. 19-

    40.

    Kucukcay, I. E., & Benyoucef, M. (2014) ‘Mobile Social Commerce Implementation’, In

    Proceedings of the 6th International Conference on Management of Emergent Digital EcoSystems, pp. 1-8.

    Lee, I. (2013) ‘Trends in E-Business, E-Services, and E-Commerce: Impact of Technology

    on Goods, Services, and Business Transactions’, Hershey, PA, USA: IGI Global.

    Leighton C. (2014) ‘Asia is dominating the mCommerce market, puts US and Europe to shame’. Tech In Asia, [online] https://www.techinasia.com/digi-capital-reports-asia-

    as-dominant-player-mcommerce-industry-insights/ (accessed 31 July 2015).

    Linda (2009) ‘Top 10 Web 2.0 Activities for Ecommerce’, [online]

    http://www.getelastic.com/top-ten-2-dot-0/ (accessed 31 July 2015).

    Lu, C., Stankovic, M. and Laublet, P. (2015) ‘Leveraging Semantic Web technologies for

    more relevant E-tourism Behavioral Retargeting’, In Proceedings of the 24th

    International Conference on World Wide Web Companion, pp. 1287-1292.

    Miva, M. (2011), ‘The History Of Ecommerce: How Did It All Begin?’, [online] http://www.mivamerchant.com/blog/the-history-of-ecommerce-how-did-it-all-begin

    (accessed 31 July 2015).

    Nowshade, K. (2006) ‘Web 2.0 in eCommerce’, [online]

    http://ezine.rusbiz.com/article/Web_2_0_in_eCommerce.html (accessed 31 July 2015).

    Pan, X., Gunasekaran, A. and Mcgaughey, R.E. (2006) ‘Global e-business: firm size,

    credibility and desirable modes of payment’, International Journal of Business

    Information Systems, Vol. 1, No. 4, pp.426–438.

    Patterson, K.A., Grimm, C.M. and Corsi, T.M. (2003) ‘Adopting new technologies for

    supply chain management’, Transportation Research, Part E, Vol. 39, No. 2, pp.95–

    121.

    Shopatron (2013) ‘5 Ways to Increase eCommerce Sales With User-Generated Content’, [online] http://ecommerce.shopatron.com/blog/5-ways-increase-ecommerce-sales-

    user-generated-content (accessed 31 July 2015).

    Turban, E., King, D., Lee, J. K., Liang, T. P. and Turban, D. C. (2015) ‘E-Commerce:

    Mechanisms, Platforms, and Tools’, In Electronic Commerce (pp. 51-99). Springer International Publishing.

    http://www.getelastic.com/top-ten-2-dot-0/http://www.mivamerchant.com/blog/the-history-of-ecommerce-how-did-it-all-beginhttp://ezine.rusbiz.com/article/Web_2_0_in_eCommerce.html

  • Title

    Velmurugan, M. S. (2012) ‘An empirical analysis of consumers’ protection toward e-

    commerce transactions in Malaysia’, International Journal of Business Information

    Systems, 9(3), 295-327.

    Wikipedia (2015) ‘Web 2.0’, [online] http://en.wikipedia.org/wiki/Web_2.0#cite_note-3,

    (accessed 31 July 2015).

    Wong, C. K. (2014) ‘Malaysia’s E-Commerce Statistics’, [online]

    http://www.malaysiacrunch.com/2012/03/malaysias-e-commerce-statistics-updated.html (accessed 31 July 2015).

    Wong, C. K. (2015) ‘Top 10 online shopping sites in Malaysia’, [online]

    http://www.ecommercemilo.com/2015/11/top-10-online-shopping-sites-

    malaysia.html (accessed 21 December 2015).

    Xu, J. and Quaddus, M. (2010) ‘E-business in the 21st Century: Realities, Challenges and

    Outlook’, World Scientific Publishing Co. Inc

    Zhang, P. and Wang, C. (2012) ‘The Evolution of Social Commerce: An Examination from

    the People, Business, Technology, and Information Perspective’, Communications of the AIS (CAIS), Vol. 31, Article 5, pp.105-127.

    Zhou, C. (2015) ‘Impact of Electronic Commerce on the Sporting Goods Market’, Open

    Cybernetics & Systemics Journal, 9, pp. 2135-2140.

    Zhu, L., Benbasat, L. and Jiang, Z. (2006) ‘Investigating the Role of Presence in Collaborative Online Shopping’. 12th Systems Americas Conference on Information

    Systems AMCIS, Acapulco, Mexico.

    Zioupou, S., Andreopoulou, Z., Manos, B. and Kiomourtzi, F. (2014) ‘Business

    information systems (BIS) adoption in agri-food sector and the ‘transaction climate’ determinant’, International Journal of Business Information Systems, Vol. 15, No. 1,

    pp.65–83.

    Zwass, V. (2003) ‘Electronic Commerce and Organizational Innovation: Aspects and

    Opportunities’, International Journal of Electronic Commerce, Vol. 7, No. 3, pp.7-37.

    View publication statsView publication stats

    http://en.wikipedia.org/wiki/Web_2.0#cite_note-3http://www.malaysiacrunch.com/2012/03/malaysias-e-commerce-statistics-updated.htmlhttp://www.malaysiacrunch.com/2012/03/malaysias-e-commerce-statistics-updated.htmlhttp://www.ecommercemilo.com/2015/11/top-10-online-shopping-sites-malaysia.htmlhttp://www.ecommercemilo.com/2015/11/top-10-online-shopping-sites-malaysia.htmlhttps://www.researchgate.net/publication/303314995