Electronic Information Systems Usage by the Consumers' of Agro-Food Products for Expressing Complaints

In this article, consumer dissatisfaction of agro-food products is studied. Specifically, the main reasons for triggering dissatisfaction are identified and ranked. Additionally, the factors that affect consumer's complaining behavior is also studied and the level of complaining adoption are investigated. Moreover, consumer's future intention to complain traditionally or electronically is depicted. Here, an important difference has been detected. The future intention will be stronger and by electronic means. The study has identified that the electronic information systems, although not popular for the time being in the area of agro-food products, have a great possibility to be used in the future due to the intention of the consumers to intensify their complaining behavior as an easy way to achieve strengthening of the effects of their complaints.

[1]  A. Parasuraman,et al.  Serving customers and consumers effectively in the twenty-first century: A conceptual framework and overview , 2000 .

[2]  Claire P. Bolfing How do Customers Express Dissatisfaction and What can Service Marketers do About it , 1989 .

[3]  Ulrike Gretzel,et al.  Consumer generated content - trends and implications for branding. , 2006 .

[4]  Chin-Lung Hsu,et al.  The effects of blogger recommendations on customers' online shopping intentions , 2013, Internet Res..

[5]  J. Wooders,et al.  Reputation in Auctions: Theory, and Evidence from Ebay , 2006 .

[6]  Debra Ann Grace,et al.  Segmenting service “complainers” and “non‐complainers” on the basis of consumer characteristics , 2006 .

[7]  H. Bansal,et al.  Word-of-Mouth Processes within a Services Purchase Decision Context , 2000 .

[8]  Dong-Mo Koo,et al.  The strength of no tie relationship in an online recommendation: Focused on interactional effects of valence, tie strength, and type of service , 2015 .

[9]  Peter H. Reingen,et al.  Social Ties and Word-of-Mouth Referral Behavior , 1987 .

[10]  Yi-Wen Fan,et al.  Effect of Electronic Word-of-Mouth on Consumer Purchase Intention: The Perspective of Gender Differences , 2012, Int. J. Electron. Bus. Manag..

[11]  Matthew K. O. Lee,et al.  How online social interactions influence customer information contribution behavior in online social shopping communities: A social learning theory perspective , 2015, J. Assoc. Inf. Sci. Technol..

[12]  Veronica Liljander,et al.  Young consumers' responses to suspected covert and overt blog marketing , 2015, Internet Res..

[13]  Dimitrios Buhalis,et al.  Complaints on the Online Environment - The Case of Hong Kong Hotels , 2009, ENTER.

[14]  Jagdip Singh,et al.  A typology of consumer dissatisfaction response styles , 1990 .

[15]  Rahul Chawdhary,et al.  Investigating the consequences of word of mouth from a WOM sender’s perspective in the services context , 2015 .

[16]  Christos Sarmaniotis,et al.  CRM and customer-centric knowledge management: an empirical research , 2003, Bus. Process. Manag. J..

[17]  A. Muñiz,et al.  How Brand Community Practices Create Value , 2009 .

[18]  Sung-joon Yoon,et al.  A SOCIAL NETWORK APPROACH TO THE INFLUENCES OF SHOPPING EXPERIENCES ON E-WOM , 2012 .

[19]  W. S. Chow,et al.  Social network, social trust and shared goals in organizational knowledge sharing , 2008, Inf. Manag..

[20]  A. Mauri,et al.  Web reviews influence on expectations and purchasing intentions of hotel potential customers. , 2013 .

[21]  Matthew K. O. Lee,et al.  What drives consumers to spread electronic word of mouth in online consumer-opinion platforms , 2012, Decis. Support Syst..

[22]  R. Kozinets E-tribalized Marketing?: The Strategic Implications of Virtual Communities of Consumption , 1999 .

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

[24]  M. Gilly,et al.  Explorations of National Culture and Word-of-Mouth Referral Behavior in the Purchase of Industrial Services in the United States and Japan , 1998 .

[25]  Jagdip Singh,et al.  When consumers complain: A path analysis of the key antecedents of consumer complaint response estimates , 1996 .

[26]  Mark S. Granovetter The Strength of Weak Ties , 1973, American Journal of Sociology.

[27]  W. Bearden,et al.  Selected Determinants of Consumer Satisfaction and Complaint Reports , 1983 .

[28]  E. Tsoukatos Applying importance‐performance analysis to assess service delivery performance: Evidence from Greek insurance , 2008 .

[29]  B. Gu,et al.  The impact of online user reviews on hotel room sales , 2009 .

[30]  Jerry Fjermestad,et al.  Electronic Customer Relationship Management , 2006 .

[31]  Hsi-Peng Lu,et al.  Why people use social networking sites: An empirical study integrating network externalities and motivation theory , 2011, Comput. Hum. Behav..

[32]  Eric T. G. Wang,et al.  Understanding knowledge sharing in virtual communities: An integration of social capital and social cognitive theories , 2006, Decis. Support Syst..

[33]  R. Bagozzi,et al.  Antecedents and purchase consequences of customer participation in small group brand communities , 2006 .

[34]  L. de Chernatony,et al.  Facebook ‘friendship’ and brand advocacy , 2012 .

[35]  Yuri Seo,et al.  Examining the effect of cultural congruence, processing fluency, and uncertainty avoidance in online purchase decisions in the U.S. and Korea , 2015 .

[36]  D. Bradshaw,et al.  Managing customer relationships in the e‐business world: how to personalise computer relationships for increased profitability , 2001 .