Using Research Case Studies in eCommerce Marketing Courses: Customer Satisfaction at Point-of-Purchase and Post-Purchase

This paper describes a research case study of Internet apparel marketing by small businesses in Malaysia which can beneficially be included in postgraduate business courses for understanding the importance of measuring customer satisfaction at point-of-purchase and post-purchase in online purchases. The sample size in this research is 154 respondents in Malaysia who purchased apparel online and provided their satisfaction level at point-of-purchase and post-purchase stages. Seven-point Likert scale was used to measure the attitude of these respondents in regard to their customer satisfaction. Of the 154 respondents, 64 answered the surveys in Bahasa Melayu (the national language in Malaysia) while the remaining 90 answered in the English language. The case study shows that there are significant differences in all customer satisfaction items between point-of-purchase and post-purchase stages. The results are also different in these items when respondents were differentiated based on the language they used in answering the surveys. Hence, it is important to show students the need to take account of online post-purchase satisfaction as part of the cumulative experience of the online purchaser. Focusing primarily on point-ofpurchase satisfaction could mislead an online retailer particularly if dissatisfaction arose in the aftermath of the purchase experience. In addition, examining customer satisfaction in terms of groups (such as language in this case study) could provide further insight into the significant differences between point-of-purchase and post-purchase in online purchase.

[1]  Steve Muylle,et al.  The conceptualization and empirical validation of web site user satisfaction , 2004, Inf. Manag..

[2]  Atìla Yüksel,et al.  Measurement of tourist satisfaction with restaurant services: A segment-based approach , 2003 .

[3]  Angappa Gunasekaran,et al.  Customer satisfaction and competitiveness in the Chinese E-retailing: Structural equation modeling (SEM) approach to identify the role of quality factors , 2014, Expert Syst. Appl..

[4]  Ingoo Han,et al.  The Impact of Customer Trust and Perception of Security Control on the Acceptance of Electronic Commerce , 2003, Int. J. Electron. Commer..

[5]  Dae-Young Kim,et al.  Does customer satisfaction increase firm performance? An application of American Customer Satisfaction Index (ACSI) , 2013 .

[6]  R. Rust,et al.  Customer Satisfaction, Productivity, and Profitability: Differences Between Goods and Services , 1997 .

[7]  L. Stoel,et al.  Apparel retailers: website quality dimensions and satisfaction , 2004 .

[8]  S. Roy,et al.  Service Quality And Customer Satisfaction: An Empirical Investigation In Indian Mobile Telecommunications Services , 2008 .

[9]  Michael S. Garver,et al.  Seven keys to improving customer satisfaction programs , 2002 .

[10]  R. Oliver A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions , 1980 .

[11]  Andrew Whinston,et al.  The Dynamics of Online Word-of-Mouth and Product Sales: An Empirical Investigation of the Movie Industry , 2008 .

[12]  Jimmy J. Lin,et al.  The Role of a Natural Language Conversational Interface in Online Sales: A Case Study , 2001, Int. J. Speech Technol..

[13]  Marcin Pont,et al.  An empirical investigation of customer satisfaction and loyalty across two divergent bank segments , 2005 .

[14]  Thomas O. Jones,et al.  Why Satisfied Customers Defect , 1996 .

[15]  Wayne D. Hoyer,et al.  Do Satisfied Customers Really Pay More? A Study of the Relationship between Customer Satisfaction and Willingness to Pay , 2005 .

[16]  Xianyi Zeng,et al.  A fuzzy model of customer satisfaction index in e-commerce , 2008, Math. Comput. Simul..

[17]  A. Parasuraman,et al.  SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. , 1988 .

[18]  F. F. Reichheld,et al.  Zero defections: quality comes to services. , 1990, Harvard business review.

[19]  Claes Fornell,et al.  A Customer Satisfaction Research Prospectus , 1994 .

[20]  Ying-Feng Kuo,et al.  Effects of inertia and satisfaction in female online shoppers on repeat‐purchase intention: The moderating roles of word‐of‐mouth and alternative attraction , 2013 .

[21]  George Ghinea,et al.  On the motivating impact of price and online recommendations at the point of online purchase , 2011, Int. J. Inf. Manag..

[22]  JungKun Park,et al.  The investigation on dimensions of e-satisfaction for online shoes retailing , 2012 .

[23]  Sharron J. Lennon,et al.  Online service attributes available on apparel retail web sites: an E‐S‐QUAL approach , 2006 .

[24]  Thomas S. Gruca,et al.  The influence of pre- and post-purchase service on prices in the online book market , 2004 .

[25]  R. Oliver Whence Consumer Loyalty? , 1999 .

[26]  C. Goodwin,et al.  Consumer responses to service failures: Influence of procedural and interactional fairness perceptions , 1992 .

[27]  Chun-Chun Lin,et al.  The critical factors impact on online customer satisfaction , 2011, WCIT.

[28]  S. Sénécal,et al.  The influence of online product recommendations on consumers' online choices , 2004 .

[29]  B. Bai,et al.  The impact of website quality on customer satisfaction and purchase intentions : evidence from Chinese online visitors , 2008 .

[30]  James G. Maxham Service recovery's influence on consumer satisfaction, positive word-of-mouth, and purchase intentions , 2001 .

[31]  Arthur Tatnall,et al.  Electronic Commerce Specialisations in MBAs: An Australian University Case Study , 2002 .

[32]  Luming Wang,et al.  Attribute Perceptions, Customer Satisfaction and Intention to Recommend E-Services , 2009 .

[33]  P. Wilton,et al.  Models of Consumer Satisfaction Formation : An Extension , 1988 .

[34]  R. Rust,et al.  Customer satisfaction, customer retention, and market share , 1993 .

[35]  Ying-Feng Kuo,et al.  Satisfaction and post-purchase intentions with service recovery of online shopping websites: Perspectives on perceived justice and emotions , 2012, Int. J. Inf. Manag..

[36]  Mark A. Davis,et al.  A Typology of Retail Failures and Recoveries , 1993 .

[37]  Rolph E. Anderson,et al.  E‐satisfaction and e‐loyalty: A contingency framework , 2003 .

[38]  Øyvind Helgesen,et al.  Are Loyal Customers Profitable? Customer Satisfaction, Customer (Action) Loyalty and Customer Profitability at the Individual Level , 2006 .

[39]  David A. Collier,et al.  Modelling the relationships between process quality errors and overall service process performance , 1995 .

[40]  Ingrid Poncin,et al.  A good deal online: The Impacts of acquisition and transaction value on E-satisfaction and E-loyalty , 2013 .

[41]  W. Sasser,et al.  The profitable art of service recovery. , 1990, Harvard business review.