Consumer Characteristics, Social Influence, and System Factors on Online Group-Buying Repurchasing Intention

ABSTRACTOnline group buying (OGB) has recently captured the attention of academic researchers. Because of the lack of an integrated perspective of external variables in the technology acceptance model (TAM), we investigated the influence of consumer characteristics (economic shopping orientation and prior buying frequency), social influence factors (subjective norms and visibility), and system factors (system quality and information quality) on perceived usefulness (PU) and perceived ease of use (PEOU) of the OGB web site. We also examined the effects of PU and PEOU on attitudes and behavioral intention. We collected 1,163 useable questionnaires through a quantitative online survey, and used structural equation modeling (SEM) to analyze the data. The results show that, whereas economic shopping orientation, subjective norms, and information quality had a positive effect on PU, purchasing frequency and system quality affect the PEOU of the OGB web site. However, the relationship between visibility and PU was non-significant. We integrated consumer characteristics, social influence, and system factors in OGB research, and the findings can assist OGB administrators to improve their understanding of the attendant factors of PU and PEOU to form positive user attitudes toward OGB and increase their reuse and repurchasing intentions.Keywords: Online group buying; Technology acceptance model; Consumer characteristics; Social influence; System factors1. IntroductionThe main concept of group buying is that consumers recruit potential consumers to achieve a sufficient order volume for obtaining a discounted group price [Jing andXie, 2011]. Group buying is a common method used by consumers, but group buyers have previously been restricted to asking only peoplewith whom they are familiar to engage in group buying [Liao et al., 2012] .The practice of group buying has existed for many years, but the Internet has made it much more practical than before [Anand and Aron, 2003].By using the Internet, buyers with common interests can connect easily without the involvement of an established acquaintance or geographical limitations [Yuan, 2004] and, thus, OGBcan eliminate the restrictions of traditional group buying [Liao et al., 2012]. Research has suggested that online group-buying (hereafter, OGB)web sites are a particularly effective form of buying [Liao et al., 2012]. OGB web sites has therefore made rapid progress in recent years [Matsuo, 2009]. OGB web sites such as Groupon (www.groupon.com) and LivingSocial (www.livingsocial.com) negotiate with businesses to provide members with substantial discounts [Coulter and Roggeveen, 2012]. In addition to setting low prices to attract OGB web sites users and persuade them to purchase products and services, Ihergo (www.ihergo.com.tw), for example, updates product information daily, which includes multiple upcoming products and the main product features [Ku, 2012]. AlthoughOGB web sites have grown dramatically in the past several years in Taiwan (e.g., GOMAJI, Groupon, 171ife, Ihergo, GoodLife), retaining Web users who continue to use these sites isa critical concern for OGB managers.Increasingly more online consumers are attracted to OGB, causing widespread academic attention [Anand and Aron, 2003].Certain studies have focused on the price-discovery mechanism [Anandand Aron, 2003; Matsuo, 2009], whereas several consumer studies have focused on consumer motivations such as price advantage, discount amount, novelty, and extraordinary offers [ErdogmusandCicek, 2011], as well as gender difference in OGB buying preferences [Liao et al., 2012]. Despite these findings and their insights into OGB literature, research investigating factors that form positive consumer attitudes and intent to reuse OGB web sites is minimal. Based on our research, only one study has explored the factors affecting OGB behavioral intention [Tsai et al., 2011], and their findings indicated that perceived usefulness (PU) and perceived ease of use (PEOU) are antecedent factors of OGB intention. …

[1]  Dong-Hee Shin,et al.  Applying the Technology Acceptance Model and Flow Theory to Cyworld User Behavior: Implication of the Web2.0 User Acceptance , 2008, Cyberpsychology Behav. Soc. Netw..

[2]  Barbara H Wixom,et al.  A Theoretical Integration of User Satisfaction and Technology Acceptance , 2005, Inf. Syst. Res..

[3]  Hsi-Peng Lu,et al.  Factors influencing online music purchase intention in Taiwan: An empirical study based on the value-intention framework , 2007, Internet Res..

[4]  Jia Shen,et al.  Exploring Intentions to Use Virtual Worlds for Business , 2009 .

[5]  Tokuro Matsuo,et al.  A REASSURING MECHANISM DESIGN FOR TRADERS IN ELECTRONIC GROUP BUYING , 2009, Appl. Artif. Intell..

[6]  Vicki G. Morwitz,et al.  Does Measuring Intent Change Behavior , 1993 .

[7]  Dennis F. Galletta,et al.  Factors Influencing the Planned Adoption of Continuous Monitoring Technology , 2012, J. Inf. Syst..

[8]  Karthik Sridhar,et al.  Investigating the Drivers of Consumer Cross-Category Learning for New Products Using Multiple Data Sets , 2012, Mark. Sci..

[9]  Hyun-Hwa Lee,et al.  The effects of shopping orientations on consumers' satisfaction with product search and purchases in a multi‐channel environment , 2008 .

[10]  Jihye Park,et al.  Are US consumers ready to adopt mobile technology for fashion goods , 2009 .

[11]  J. Hair Multivariate data analysis , 1972 .

[12]  Beomsoo Kim,et al.  Adoption of broadband Internet in Korea: the role of experience in building attitudes , 2003, J. Inf. Technol..

[13]  Gina Green,et al.  Gender Differences in Perceptions and Use of Communication Technologies: A Diffusion of Innovation Approach , 2005, Inf. Resour. Manag. J..

[14]  Heesup Han,et al.  OUTCOMES OF RELATIONAL BENEFITS: RESTAURANT CUSTOMERS' PERSPECTIVE , 2009 .

[15]  Hsiu-Fen Lin,et al.  The role of online and offline features in sustaining virtual communities: an empirical study , 2007, Internet Res..

[16]  Krishnan S. Anand,et al.  Group Buying on the Web: A Comparison of Price-Discovery Mechanisms , 2003, Manag. Sci..

[17]  Jihyun Kim,et al.  A consumer shopping channel extension model: attitude shift toward the online store , 2005 .

[18]  Paolo Roma,et al.  Group Buying of Competing Retailers , 2011 .

[19]  Enrique Bigné-Alcañiz,et al.  Influence of online shopping information dependency and innovativeness on internet shopping adoption , 2008, Online Inf. Rev..

[20]  K. Ruyter,et al.  What drives consumers to shop online? A literature review , 2004 .

[21]  Soe-Tsyr Yuan,et al.  Credit Based Group Negotiation for aggregate sell/buy in e-markets , 2004, Electron. Commer. Res. Appl..

[22]  Shin-Yuan Hung,et al.  Critical Factors Predicting The Acceptance Of Digital Museums: User And System Perspectives , 2016 .

[23]  Enrique P. Becerra,et al.  Hispanics' Information Search and Patronage Intentions Online , 2009 .

[24]  P. Wu,et al.  The Effect of Store Image and Service Quality on Brand Image and Purchase Intention for Private Label Brands , 2011 .

[25]  Heshan Sun Transferring Attributes of E-Commerce Systems into Business Benefits: A Relationship Quality Perspective , 2010 .

[26]  Ingoo Han,et al.  The impact of Web quality and playfulness on user acceptance of online retailing , 2007, Inf. Manag..

[27]  Lisa McQuilken,et al.  A Novel Romance: The Technology Acceptance Model with Emotional Attachment , 2011 .

[28]  H. Raghav Rao,et al.  Protection motivation and deterrence: a framework for security policy compliance in organisations , 2009, Eur. J. Inf. Syst..

[29]  Khaled A. Alshare,et al.  IS Success Model in E-Learning Context Based on Students' Perceptions , 2010, J. Inf. Syst. Educ..

[30]  Changsu Kim,et al.  An Empirical Study on the Integrated Framework of e-CRM in Online Shopping: Evaluating the Relationships Among Perceived Value, Satisfaction, and Trust Based on Customers' Perspectives , 2008, J. Electron. Commer. Organ..

[31]  Louise M. Hassan,et al.  Consumer uncertainty: revisited , 2011 .

[32]  Steven Walczak,et al.  Factors Influencing Corporate Online Identity: A New Paradigm , 2009, J. Theor. Appl. Electron. Commer. Res..

[33]  Edward C. S. Ku Beyond Price, How Does Trust Encourage Online Group's Buying Intention? , 2012, Internet Res..

[34]  Sang-Hyun Kim,et al.  EFFECTS OF COLLECTIVISM ON ACTUAL S-COMMERCE USE AND THE MODERATING EFFECT OF PRICE CONSCIOUSNESS , 2013 .

[35]  A. Fiore,et al.  The role of the technology acceptance model in explaining effects of image interactivity technology on consumer responses , 2006 .

[36]  Chia-Chen Chang,et al.  Mining customer knowledge for exploring online group buying behaviour , 2012, Expert Syst. Appl..

[37]  I. Ajzen Constructing a TpB Questionnaire: Conceptual and Methodological Considerations , 2002 .

[38]  Huei-Huang Chen,et al.  Determinants of satisfaction and continuance intention towards self-service technologies , 2009, Ind. Manag. Data Syst..

[39]  Jia Shen Social Comparison, Social Presence, and Enjoyment in the Acceptance of Social Shopping Websites , 2012 .

[40]  Keith S. Coulter,et al.  Deal or no deal , 2012 .

[41]  Torben Hansen Understanding consumer perception of food quality: the cases of shrimps and cheese , 2005 .

[42]  Mesut Çiçek,et al.  Online Group Buying: What Is There For The Consumers? , 2011 .

[43]  Pingjun Jiang,et al.  Customer intention to return online: price perception, attribute‐level performance, and satisfaction unfolding over time , 2005 .

[44]  Hee-Dong Yang,et al.  Social Influence on Knowledge Worker's Adoption of Innovative Information Technology , 2008, J. Comput. Inf. Syst..

[45]  T. Bhatti,et al.  Journal of Internet Banking and Commerce , 2022 .

[46]  Steve Hoeffler,et al.  Looking Innovative: Exploring the Role of Impression Management in High‐Tech Product Adoption and Use , 2013 .

[47]  Ming-Tien Tsai,et al.  Predicting intention to purchase on group buying website in Taiwan: Virtual community, critical mass, and risk , 2012, Online Inf. Rev..

[48]  Gary Garrison,et al.  Investigating mobile wireless technology adoption: An extension of the technology acceptance model , 2009, Inf. Syst. Frontiers.

[49]  Keng Siau,et al.  User-Database Interface: The Effect of Abstraction Levels on Query Performance , 1993, MIS Q..

[50]  Ming-Tien Tsai,et al.  Understanding online group buying intention: the roles of sense of virtual community and technology acceptance factors , 2011 .

[51]  Heesup Han,et al.  The relationships among overall quick-casual restaurant image, perceived value, customer satisfaction, and behavioral intentions , 2008 .

[52]  Yu-Ru Lin,et al.  Elucidating user behavior of mobile learning: A perspective of the extended technology acceptance model , 2007, Electron. Libr..

[53]  Brahim Chaib-draa,et al.  Série Scientifique Scientific Series Performance of Software Agents in Non-transferable Payoff Group Buying Performance of Software Agents in Non- Transferable Payoff Group Buying * , 2022 .

[54]  Detmar W. Straub,et al.  Trust and TAM in Online Shopping: An Integrated Model , 2003, MIS Q..

[55]  Detmar W. Straub,et al.  The Power of Many: An Assessment of Managing Internet Group Purchasing , 2011 .

[56]  Albert Boonstra,et al.  Interpretive Perspectives on the Acceptance of an Electronic Prescription System , 2003 .

[57]  Natalie Motise Davis Deal or No Deal , 2014 .

[58]  A. Adam Whatever happened to information systems ethics? Caught between the devil and the deep blue sea , 2004 .

[59]  Tae Hyoung Kwon,et al.  A Diffusion of Innovation Approach to MIS Infusion: Conceptualization, Methodology, and Management Strategies , 1990, ICIS.

[60]  Dong-Hee Shin,et al.  Analysis of online social networks: a cross-national study , 2010, Online Inf. Rev..

[61]  V. Yilmaz,et al.  Extending the Technology Acceptance Model for Adoption of E-Shopping by Consumers in Turkey , 2011 .

[62]  Niki Panteli,et al.  Business strategic conflict in computer-mediated communication , 2010, Eur. J. Inf. Syst..

[63]  Mun Y. Yi,et al.  Understanding information technology acceptance by individual professionals: Toward an integrative view , 2006, Inf. Manag..

[64]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[65]  Hsi-Peng Lu,et al.  Factors influencing online auction repurchase intention , 2008, Internet Res..

[66]  T. Andreassen,et al.  Electronic healthcare: a study of people's readiness and attitude toward performing self‐diagnosis , 2007 .

[67]  Oded Nov,et al.  Users' personality and perceived ease of use of digital libraries: The case for resistance to change , 2008 .

[68]  Sharron J. Lennon,et al.  Information components of apparel retail web sites: task relevance approach , 2007 .

[69]  C. Flavián,et al.  Intrinsic and extrinsic quality attributes, loyalty and buying intention: an analysis for a PDO product , 2006 .

[70]  Catarina Sismeiro,et al.  A Model of Web Site Browsing Behavior Estimated on Clickstream Data , 2003 .

[71]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[72]  Susan H. C. Tai Relationship between the personal values and shopping orientation of Chinese consumers , 2008 .

[73]  Nan Zhang,et al.  The Role of Web 2.0 Applications on Niche Culture Diffusion: An Empirical Study on the Influence of Online Forums on Fans of Rock Music Bands , 2011, Online Inf. Rev..

[74]  Nathalie T. M. Demoulin,et al.  Drivers of Customers’ Adoption and Adoption Timing of a New Loyalty Card in the Grocery Retail Market , 2009 .

[75]  Maro Vlachopoulou,et al.  Modeling users’ acceptance of mobile services , 2012, Electronic Commerce Research.

[76]  Tammo H. A. Bijmolt,et al.  Are Women More Loyal Customers than Men? Gender Differences in Loyalty to Firms and Individual Service Providers , 2009 .

[77]  Shih-Wei Huang,et al.  Exploring antecedents and consequence of online group-buying intention: An extended perspective on theory of planned behavior , 2013, Int. J. Inf. Manag..

[78]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[79]  Harry Bouwman,et al.  An assessment of advanced mobile services acceptance: Contributions from TAM and diffusion theory models , 2008, Inf. Manag..

[80]  Eric T. G. Wang,et al.  Understanding Customers' Satisfaction and Repurchase Intentions: An Integration of IS Success Model, Trust, and Justice , 2011, Internet Res..

[81]  Edward Shih-Tse Wang The Effects of Browsing Frequency and Gender on the Relationship Between Perceived Control and Patronage Intentions in E-tail , 2010, Int. J. Electron. Commer..

[82]  Cheol Park,et al.  A cross‐cultural comparison of Internet buying behavior: Effects of Internet usage, perceived risks, and innovativeness , 2003 .

[83]  Mohamed G. Aboelmaged,et al.  Predicting e-procurement adoption in a developing country: An empirical integration of technology acceptance model and theory of planned behaviour , 2010, Ind. Manag. Data Syst..

[84]  Wann-Yih Wu,et al.  The influence of an online auction's product price and e-retailer reputation on consumers' perception, attitude, and behavioral intention. , 2011, Scandinavian journal of psychology.

[85]  Peter David Clarke,et al.  Christmas gift giving involvement , 2006 .

[86]  Xiao Tong A cross‐national investigation of an extended technology acceptance model in the online shopping context , 2010 .

[87]  Jan Lepoutre,et al.  Investigating the Impact of Firm Size on Small Business Social Responsibility: A Critical Review , 2006 .

[88]  Thanos Papadopoulos,et al.  Information Systems Development: A Normalisation Process Theory perspective , 2011, Ind. Manag. Data Syst..

[89]  H. Winklhofer,et al.  Applying the technology acceptance model to the online retailing of financial services , 2006 .

[90]  Sonal Saxena Are Women More Loyal Customers Than Men? Gender Differences in Loyalty to Firms and Individual Service Providers , 2015 .

[91]  T. Becker,et al.  Consumer perception of fresh meat quality: a framework for analysis , 2000 .

[92]  David Maxfield,et al.  How to Have Influence , 2008 .

[93]  Sanjukta A. Pookulangara,et al.  Explaining multi‐channel consumer's channel‐migration intention using theory of reasoned action , 2011 .

[94]  Jinhong Xie,et al.  Group Buying: A New Mechanism for Selling Through Social Interactions , 2011, Manag. Sci..