Woon Kian Chong

B2B e‐marketplace: an e‐marketing framework for B2B commerce

Purpose – The purpose of this paper is to provide a clear understanding of the performance of business‐to‐business (B2B) e‐marketplace in conducting e‐marketing in the global business environment. The proposed framework is intended to be used as a guide for B2B firms especially small and medium sized enterprises (SMEs) who wish to adopt a proactive approach in the use of information and communication technology for business efficiency and competitive advantage, and those who wish to explore the internet technologies for marketing activities.Design/methodology/approach – Literature from the B2B e‐marketplaces and operations of e‐marketing fields were analysed, and the findings were synthesised to develop a preliminary conceptual model of e‐marketing. The conceptual model was tested empirically through an online survey from various industries in China, Malaysia, and Singapore.Findings – With significant online and offline publications from both academia and industry, there is a growing awareness of the cont...

Development of a business‐to‐business critical success factors (B2B CSFs) framework for Chinese SMEs

Purpose – The purpose of this paper is to critically explore business‐to‐business critical success factors (B2B CSFs) for small and medium‐sized enterprises (SMEs) operating in the Chinese B2B marketplace, evaluate the findings, and use the generated CSFs to propose a framework to assist in the marketing management of B2B in China. The proposed framework provides a guideline for academics and practitioners and highlights the significant role of each factor in developing and sustaining effective B2B electronic commerce (B2B e‐commerce) practice for SMEs.Design/methodology/approach – The proposed framework is constructed by combining the empirical findings and B2B literature. The quantitative (online survey) was targeted at, proprietors, chief executive officers, managing directors, general managers, sales/marketing managers and export managers in selected SMEs that participated in B2B electronic marketplace (B2B e‐marketplace) in China. The data received from the recipients were processed on SPSS to conduc...

Barriers of B2B e-Business Adoption in Indonesian SMEs: A Literature Analysis

Abstract Information and Communication Technology (ICT) is increasingly recognized as a key resource for most of the firms’ business performances and the presence of electronic business (e-Business) has indeed brought a significant impact on business practices. The development of B2B e-Business and the use of Internet technologies significantly improve the way companies deal with their customers and suppliers. However, some barriers are still prevailing associated with the adoption of e-Business, especially in emerging country such as Indonesia. Although Indonesia has the largest amounts of small and medium enterprises (SM Es) in South East Asia, yet the number of e-Business participation in Indonesia is still considered very low, particularly in B2B sectors. M oreover, there is paucity of studies of B2B e-Business adoption for Indonesian SM Es. Therefore, this paper is aimed to give greater insight on how the Indonesian SM Es’ response towards B2B e-Business and identify the barriers that hindered them to implement B2B e-Business. This research fills a gap about B2B e-Business adoption barriers and overcomes some of the fragmentation associated with e-Business adoption for SM Es in emerging economies.

A recommendation model using the bandwagon effect for e-marketing purposes in IoT

Recently, the Internet of things (IoT) became useful in various applications based on the web communication technology. The IoT has great potential in several service domains including cultural, educational, or medical areas. We consider a recommendation technique suitable for the IoT-based service. A personalized recommender system often relies on user preferences for better suggestions. We notice that we need a different recommendation approach in the IoT platform. While the conventional recommendation approaches rely on user preferences provided by users, these approaches may not be suitable for the IoT environment. The conventional systems utilize user ratings for items to compose recommendation list. This implies that the systems require additional user activities such as adding their preferences. We notice that the IoT environment can naturally provide user information such as users’ item selection history without users’ additional actions. We propose a recommendation model that does not require users’ additional actions and is more suitable for the IoT environment. We examine the usability of the bandwagon effect to build a new recommender system based on users’ selection history. We first consider the bandwagon effects in movie recommendation domain and show its usefulness for the IoT. We then suggest how to use the bandwagon effect in recommender systems with IoT.

Exploring Critical Success Factors of Mobile Recommendation Systems: The End User Perspective

This study is intended to critically explore key factors for the user experience of mobile recommendations, evaluate the findings, and use the generated critical success factors (CSFs) to propose a framework to assist in the Chinese mobile marketplace. The proposed framework provides a guideline for academics and practitioners and highlights the significant role of each factor in developing and sustaining effective mobile recommendation systems practice. The findings can help managers to derive a better understanding and measurement of mobile marketing activities that appropriately balance between traditional and mobile marketing practices. At the same time, the CSFs can be integrated into the companies to determine the level of marketing performance in mobile marketplace.

E-marketing services and e-marketing performance: the roles of innovation, knowledge complexity and environmental turbulence in influencing the relationship

ABSTRACT The business-to-business electronic marketplace (e-marketplace) is becoming critical for small- and medium-sized enterprises (SMEs). However, which e-marketing services determine a firm’s e-marketing performance and how innovation, knowledge complexity and environmental turbulence influence the relationship between e-marketing services and e-marketing performance are under-researched topics in the field. We first empirically tested 176 SMEs from China to evaluate which e-marketing services are significantly related to e-marketing performance and how these services collectively influence the performance. Then, we used an NK model to examine how innovation, knowledge complexity and environmental turbulence mediate/moderate the relationship. The results show that five e-marketing services (e-CRM, e-SCM, e-competitiveness, IS/IT integration and information transparency) can greatly influence e-marketing performance; innovation positively mediates the relationship between e-marketing services and performance; and knowledge complexity and environmental turbulence positively moderate the relationship.

Utility-Oriented Placement of Actuator Nodes with a Collaborative Serving Scheme for Facilitated Business and Working Environments

Places to be served by cyber-physical systems (CPS) are usually distributed unevenly over the area. Thus, different areas usually have different importance and values of serving. In other words, serving power can be excessive or insufficient in practice. Therefore, actuator nodes (ANs) in CPS should be focused on serving around points of interest (POIs) with considerations of “service utility.” In this paper, a utility-oriented AN placement framework with a collaborative serving scheme is proposed. Through spreading serving duties among correctly located ANs, deployment cost can be reduced, utility of ANs can be fully utilized, and the system longevity can be improved. The problem has been converted into a binary integer linear programming optimization problem. Service fading, 3D placements, multiscenario placements, and fault-tolerant placements have been modeled in the framework. An imitated example of a CPS deployment in a smart laboratory has been used for evaluations.

College Students’ Online Purchase Intention in Big Data Era

There are huge amounts of data produced and accumulated in the business world every day. Business firms and other organizations are interested in discovering new business insight from the big data through Big Data Analytics (BDA) to increase business performance. This chapter discusses the application of BDA in e-commerce, and its impact on customers’ online purchase intention. We focus on the sample of college students because of the younger generation’s significant online purchasing power. To verify the hypothesized model, a survey method is adopted to collect data, and the Generalized Linear Model is used to analyse the data. The empirical study validates the hypothesized model and reveals the factors that affect customers’ online purchase intention.

Multimedia Management Services Based on User Participation with Collaborative Tagging

As Internet technology has rapidly developed, the amount of multimedia content on the Web has expanded exponentially. Collaborative tagging, namely folksonomy, is emerging to promote user participation in generating and distributing active content. This could be significant evidence for categorizing dynamic multimedia content. For that reason, we proposed an efficient multimedia management system based on collaborative tagging. Our system suggests the candidates, with collaborative filtering for describing and categorizing the multimedia content.

Understanding University Students’ Online Purchase Decisions Through Social Networking Services (SNSs)

This study aims to investigate the effect of e-business integration with social networking services (SNSs), with a particular focus on university students’ online purchase decisions. A quantitative study was adopted, using online survey approach to collect 513 valid empirical data from the university students. Data analysis was conducted by SPSS, started from descriptive aspect to regression test progressively. Several impact factors namely advertisements (ads) on web-page, ads on official homepages, ads on interest groups, and ads posted by friends associated with SNSs were identified and the usage of SNS showed significant impact on university students’ online purchase decisions. The findings suggest SNSs is one of essential tool for the online purchase decision from the Chinese university students’ perspective.