Contemporary Logistics Word-of-Mouth Re-Spread Based on the Grounded Theory
by user
Comments
Transcript
Contemporary Logistics Word-of-Mouth Re-Spread Based on the Grounded Theory
Contemporary Logistics 04 (2011) 1838-739X Contents lists available at SEI Contemporary Logistics journal homepage: www.seiofbluemountain.com Research on the Influence Factors of Negative Internet Word-of-Mouth Re-Spread Based on the Grounded Theory Jidong Bi School of Business Administration, Shandong University of Finance and Economics, 250014, P.R.China KEYWORDS NIWOM, Grounded theory, Visual clues, Re-spread ABSTRACT With the popularization of internet, internet word of mouth (IWOM) influence gradually strengthen, but the research specially on negative internet word of mouth (NIWOM) is less. Based on literature review, this study used Grounded Theory qualitative method, analyzed the phenomenon of consumer re-spread. The result indicates characteristics of promulgator, receiver and IWOM information have impact on consumer re-spread behavior through perceived risk and truth, and construct the concept model. Research conclusions enrich the relevant theory research and can be used for the follow-up study for reference. © ST. PLUM-BLOSSOM PRESS PTY LTD 1 Statement of Problem and Literature Review Though the theory and practice circles have paid attention to the spread of IWOM, relatively, the research achievements is not much. Especially the research on IWOM in China is only in recent years that it up, special NIWOM research is less, and lack of direct references authoritative theoretical results. In the real world, if a customer does not satisfied, he will tell 5 people (Richins, 1983), but in Virtual internet environment, the customer will spread the dissatisfied information to six thousand people by internet platform, and the Number may be underestimated (Hanson, 2000). Previous literature partly relates to comparative analysis of positive word-of-mouth and negative word-of-mouth (Naylor et al., 2000; Sweeney et al., 2005; Samson, 2006; East et al., 2007; East et al., 2008). But special research on NIWOM (Charlett et al., 1995; Lau and Ng, 2001; DeCarlo, 2007; Luo, 2009) is very less. Because of significant differences between the online environment and offline environment, some scholars indicate that many of the existing interpersonal communication theory are possible not suitable for IWOM behavior, account of the traditional WOM in face-to-face relationship (Knapp and Daly, 2002). Furthermore, social emotional characteristics research focusing on computermediated communication (Lea and Spears, 1995; Parks and Floyd, 1996; Walther, 1996) and social cognitive and interpersonal development theory of the social psychology indicate given enough time the individual in the virtual environment can also form enough for others' impression. So researching on effect of word of mouth (WOM) spread in virtual community is required to abandon the deductive model, carry on necessary qualitative research. And use inductive method to extract the field's basic theory from phenomenon, thus gradually establish and perfect the corresponding theoretical system (Chen Beilei, 2008). In order to achieve the purpose of in-depth understanding of connotation and mining corresponding law, following through the grounded theory (Strauss and Corbin, 1998) research method to analyze the effect of negative interne word-of-mouth on consumer re-spread behavior. Corresponding author. Email: [email protected] English edition copyright © ST. PLUM-BLOSSOM PRESS PTY LTD DOI:10.5503/J.CL.2011.04.007 33 2 Research Design Based on the Grounded Theory 2.1 Research design The key of the grounded theory is the choice of object of study; moreover, the importance of study object is the information richness and representation of the study phenomenon rather than quantity. This paper aimed at the spread effect of negative internet word-of-mouth, call for the object of study are more familiar with internet and have a rich experience of collection and contact of IWOM. In the process of data collection, researchers themselves face-to-face interviews, closely around the topic of ―NIWOM influence on consumer re-spread behavior‖, ensure that the interview content targeted and comparable. In the interview with consumer, gradually understand some virtual communities consumers paying relatively high attention on that are the representation source of Consumer IWOM. So this study finally chose six virtual communities (Taobao.com; koubei.com; sina.com.cn; QQ.com; amazon.cn; vancl.com) as the source of research data supplement, and select some netizen’s post, enriching collected data. On the basis of comparison and confirmation of research object, this study finally interviewed 36 persons, each interview’s time is 20-40 minutes. There are 19 male and 17 female, the age span is 19-50, among whom there are 17 persons under the age of 30, 16 persons at the age of 30-40, occupation related to college students, workers, civil servants, institution / enterprise managers and general staff and so on. The above collected data were collated and integrated, assuring the match of collected information and research theme, and finally naming the data as ―survey data note of NIWOM influence on consumer re-spread behavior‖. 2.2 Analyses of grounded theory Date This part carries on open coding, axial coding and selective coding with collected information, according to the grounded theory data analysis process. 2.2.1 Open coding In this process the naming of concepts and categories have multiple source, some from literature, some from interview record, some from researchers study results. In order to find the concepts and categories most reflecting the essence of the collection data, in need of constantly check of concepts and categories. Through the open coding analyses on ―survey data note of NIWOM influence on consumer re-spread behavior‖, finally abstract 39 concepts and 13 categories (A1-A13), referring to table 1. The 13 categories are visual clues of IWOM; quantity of IWOM; brand impression; product involvement; attitude; search behavior of WOM; expertise; relationship intensity; internet involvement; trust; responsibility; perceived risk; re-spread behavior. Table1 The results of open coding: concepts and categories number categories concepts A1 visual clues of IWOM visual Impact force; Attractive force; Wording A2 quantity of IWOM Quantity of Comments; reports of other media; others attitude A3 brand impression A4 product involvement Consumption experience; product knowledge A5 attitude Internet anonymity; individual emotion A6 search behavior of WOM Ignore; sustained attention A7 expertise Authority; expert A8 relationship intensity Common interest; familiarity A9 internet involvement A 10 trust Competence; sincere; honesty A 11 responsibility Altruism; social responsibility A 12 perceived risk Risk aversion; perceived cost; perceived value; product quality A 13 re-spread behavior Alternative brand; brand reputation; enterprise figure; store credit; after-sale service; enterprises treatment attitude Internet knowledge; number of using internet years、frequency of using internet Seek other people opinion; offline spread; support post; comment; copy and transmit According to grounded theory method, these concepts may be a word, a phrase, even a brief sentence, but it must be able to accurately reflect the essence of the corresponding sentence instead of a simple ―abstract‖. For explaining the process of open coding, 34 the analysis on ―survey data note of NIWOM influence on consumer re-spread behavior‖ gave an example in table 2 ①. Table 2 Analysis example for open coding of NIWOM open coding Record of NIWOM Nature of conceptualization categorization Pattern is very clear, and attract a1 visual Impact 1. categorization 1. nature of Facet of style: attention (a1) force using visual clues writing/picture/video This film is very interesting, much a2 Attractive force a1,a2,a3: visual of IWOM: ; more interesting than simple text, …… clues of IWOM style, Facet of definition: (A1) definition, high/low; typesetting… Facet of typesetting: … orderliness/ and information is also very concepts comprehensive (a2) I will go to see a transaction record 2. categorization Quantity of using Dimension of nature categories and evaluation, if more than 1/2 of a4 concepts the comment say shoes is not good, Comments a4,a5,a6: I still believe that the eyes of the a5 reports of other quantity masses (a4) media IWOM (A2) IWOM: much/little; I will go to have a look of other …… …… summation, Facet websites, and assure that other …… …… distribution distribution :widespr …… ead/ centralized; of consumers have this view (a5) The service attitude is very bad, inorderliness 2.nature of …… quantity of Facet of summation: …… 13. tell my friends not to come here to a36 offline spread categorization 13. nature of Facet of object: buy (a36) a37 support post using concepts re-spread Strong ties/weak See the enterprise bad information a39 a35,a36,a37, behavior: ties; exposure, just support the post , to transmit a38,a39: object, Facet of frequency: let more people know resisting …… re-spread frequency, high/low; behavior (A13) channel…… Facet of channel: enterprise's immoral copy and behavior (a37) I usually of online/offline get this kind of information to other community (total 13 (total 39 concepts) …… categories) (a39) 2.2.2 Axial coding Through the above analysis, the abstract concepts and categories temporarily replace of a large amount of information content, and also gradually refining, downsizing and understanding on data in-depth. Consequently, the tasks of analysis and research on complex data is simplified to investigate these concepts, especially the relationship and ties between the categories. ① The open coding and axial coding of grounded theory involve large numbers of analyses tables, in order to illustrate research process and save space, only adopt partial table in the paper, given an example in this table. 35 Causality condition Phenomenon Visual clues of IWOM Attitude Quantity of IWOM Vein Intermediary Perceived risk condition Responsibility Trust Brand impression Expertise Relationship intention Product involvement Action/interaction strategy Result Search behavior of WOM Re-spread behavior Figure 1 main category paradigm model An important analysis tool in axial coding stage of grounded theory is a paradigm model, which including ―causality condition—phenomenon—vein—intermediary condition—action/interaction strategy—result‖ six parts, and being an effective measure to link and mine the meaning of categories. Making use of the condition which causing certain event (mail category), vein (It is the specific dimension index of the category nature) reckoned on by the event, and the strategies adopt by actors in the event, contribute to more accurately grasp of the event (mail category). The main category paradigm model of this research is shown in Figure 1. 2.2.3 Selective coding Through the further study of 13 categories and simultaneously comparison on source material, this research extract three core categories: characteristic of NIWOM, enterprises impression, characteristic of WOM resource. Outside enterprises impression, the other core categories of NIWOM spread Show different characteristics with traditional WOM and positive IWOM. Characteristic of NIWOM mainly indicate visual clues and relatively easy query internet information; enterprises impression indicate consumers understanding degree to enterprises and their products; characteristic of WOM resource indicate the expertise, authority and relationship intensity to receiver of NIWOM promulgator. This research’s route surrounding of core categories can be generalized: on the basis of certain understanding of product knowledge and brand image, consumers come into contact with NIWOM, which will influence consumer behavior because of perceives risk and responsibility, and the special influences including three aspects of characteristics of NIWOM, enterprises impression, characteristic of WOM resource. 3 Influence Factors Model of NIWOM Re-spread Based on the Grounded Theory 3.1 Construction thinking According to the literature of concept and spread effect of WOM, IWOM, NIWOM, the current research status on IWOM can be grasped. First, our country IWOM research start lately, there are more abroad researches than domestic. In view of the fact that our country has become a big country of be worthy of the name of Internet, IWOM qualitative research specially aiming at our country consumer has that IWOM is only a way consumer obtain enterprises information, and IWOM Not only influence consumer behavior on the Internet. So WOM spread will has an interactive diffuse route, traditional WOM and IWOM may influence consumer behavior interactively. Thus it is more fit reality seeing IWOM as one consumer information resource and paying attention to the effect on consumer whole behavior (online and offline). Third there is less NIWOM research, and the referential theory is not much. Research of traditional WOM has confirmed the negative word-of-mouth effect on consumers greater (Lutz, 1975; Miserski, 1982; Richins, 1983; Wrig a significance of theory and Practice. Second, many researches are simply IWOM analysis under the internet environment (Bickart and Schindler, 2001; Smith, 2002; Kozinets, 2002; Smith et al. 2005; Nelson and Otnes, 2005; Lin yanhong, 2005; Zhang jingjing, 2007; Sun chunhua and Liu yezheng, 2009), or study on IWOM influence on consumer online purchase (Senecal and Nantel, 2004; Davis and Khazanchi, 2008). But the reality is ht, 1974; Herr et a1., 1991; Lau and Ng, 2001; Sweeney et al. 2005). Moreover the ―virus‖ feature of NIWOM is expanded by means of internet; research on NIWOM spread mechanism will provide theoretical reference to follow-up research. 3.2 Theoretical model Based on the above analysis, this research discussed on influence factors and correlation about consumer NIWOM re-spread behavior, which would be affected by characteristics of promulgator, receiver and IWOM information. The theoretical model pay attention to influence factors on consumer re-spread behavior in face of NIWOM, from the IWOM receiver perspective. This research’s theoretical model is shown in Figure 2. 36 4 Mechanisms of Influence Factors of Consumer NIWOM Re-spread Combined with the former research results and qualitative research of grounded theory, this paper divides the influence factors on consumer re-spread behavior into three parts: characteristics of promulgator, receiver and IWOM information. Characteristics of promulgator influence perceived risk; characteristics of receiver influence trust; characteristics of IWOM information influence perceived risk and trust. Characteristics of promulgator include expertise and relationship intensity; characteristics of receiver include responsibility, product involvement, internet involvement and brand impression; characteristics of IWOM information include visual clues and Quantity. Perceived risk and trust influence consumer behavior as intermediary variable; internet involvement has regulatory effect on characteristics of IWOM information influencing perceived risk and trust; responsibility has regulatory effect on perceived risk and trust influencing consumer behavior. In IWOM spread, promulgator is the main body of behavior, which spread intention and ability, are the major factors influencing spread effects. Allsop et al. (2007) indicated not all individuals have the same impact on a given social network. The main factor determining WOM spread capability is expertise. Expertise Responsibility Relationship intensity Perceived risk Visual clues of IWOM Internet Re-spread involvement behavior Quantity of IWOM Trust Brand impression Responsibility Product involvement Figure 2 Theoretical model of NIWOM influence on consumer re-spread behavior IWOM information content is related to characteristics of internet media, so research on characteristics of IWOM should consider attribute of internet media. IWOM quantity, evaluation direction and the degree of dispersion all influence spread effects of WOM (Davis et al., 2008). The higher degree of dispersion, the more possible meeting consumer, this enlarges the spread influence. The larger the quantity of IWOM, the more possible being known by consumer. Liu (2006) studied the IWOM influence on movie consumer decision, choosing the movie information on yahoo website and the research result shows that quantity of IWOM has significant explanatory power on the box office. Different receiver may have different understanding on the same contents and spread of WOM. The main factors influencing the recipient are recipient intention and ability of IWOM receiver. Practice shows that usually WOM spread happens under the situation of initiative information search by receivers. Compared with the spread ability of promulgator, recipient ability of IWOM receiver has stronger influence on process and effect of spread, becoming the main dominant factors influencing quality of WOM spread and consumer purchase decision. 37 5 Research Conclusion and Prospects 5.1 Research conclusion Through grounded theory qualitative analysis, this paper extracts the influence factors and their general relation about consumer NIWOM re-spread behavior from the phenomenon, thereby improving the relative theory in this field, and providing argument basis for follow-up empirical study. The relative conclusion has certain realistic directive significance on internet marketing. WOM marketing and the operation of seller and network operator under internet environment. On the one hand, this research verified the spread theory opinion that promulgator, receiver and information have effect on recipient; on the other hand, provided the specific variables of influence factors about consumer re-spread behavior in front of NIWOM. The research found that the characteristic of NIWOM has effect on consumer perceived risk and trust, and internet involvement has regulatory effect on them. This is the beneficial complement of the previous research. The internet media makes the IWOM and traditional WOM showing obvious difference, tangible and communication network expansion. For example, two opinions from object of grounded theory interview: ―The website giving a detailed text description for the negative impression, and it is true, and with a picture‖, ―Looking for other websites (3-4) about the computer, product reviews in comparison, then decide, not simply to accept a site of negative comments‖, the above information indicate visual clues and quality of NIWOM influence consumer behavior. 5.2 Prospects Based on grounded theory this paper carried on exploratory research of consumer NIWOM re-spread behavior, mainly from the qualitative point of view analyzed the data, revealed the influence of each variables of characteristics of promulgator, receiver and IWOM information on re-spread behavior, and constructed theoretic model. The follow-up study can take a more extensive data to modify the model, or compare the dissimilarity between the different culture scenes and different virtual communities. References [1]. Charlett, D.,Garland, R., Marr, N., How damaging is negative word of mouth? [J]. Marketing Bulletin, 1995, 6, 42~50. [2]. Davis, A.& Khazanchi, D.. An Empirical Study of Online Word of Mouth as a Predictor for Multi-product Category e-Commerce Sales [J]. Electronic Marketers, 2008, 18 (2): 130~141. [3]. Davis,A.& Khazanchi, D.. An Empirical Study of Online Word of Mouth as a Predictor for Multi-product Category e-Commerce Sales [J]. Electronic Marketers, 2008, 18 (2):130~141. [4]. DeCarlo, Thomas E.; Laczniak, Russell N.; Motley, Carol M.; Ramaswami, Sridhar. Influence of image and familiarity on consumer response to negative word-of-mouth communication about retail entities [J]. Journal of Marketing Theory & Practice, 2007, 15 (1): 41~51. [5]. East, Robert; Hammond, Kathy; Wright, Malcolm. The relative incidence of positive and negative word of mouth: A multi-category study International [J]. Journal of Research in Marketing, 2007, 24 (2) 175~184. [6]. Hanson, W. A. Principles of Internet Marketing [M]. Ohio: South-Western College Publishing, 2000. [7]. Lau G., Ng, Sophia. Canadian Individual and Situational Factors Influencing Negative Word-of-Mouth Behaviour [J]. Journal of Administrative Sciences, 2001, 18 (3): 163~179. [8]. Liu, Y. Word of Mouth for Movies: Its Dynamics an Impact on Box Office Revenue [J]. Journal of Marketing 2006, 70: 74~89. [9]. Luo, Xueming, Quantifying the Long-Term Impact of Negative Word of Mouth on Cash Flows and Stock Prices [J]. Marketing Science, 2009, 28 (1): 148~165. [10]. Lutz RJ. Changing brand attitudes through modification of cognitive structure [J]. Journal of Consumer Research, 1975, 1, 49~59. [11]. Naylor, G Kleiser SB. Negative versus positive word-of-mouth: An exception to the rule [J]. Journal of Vacation Marketing, 2000, 13: 26~36. [12]. Richins, M. L. Negative Word-of-Mouth by Dissatisfied Consumers: A Pilot Study [J]. Journal of Marketing, 1983, 47 (1): 68~78. [13]. Samson, Alain. Understanding the buzz that matters: negative vs. positive word of mouth. [J]. International Journal of Market Research, 2006, 48 (6): 647~657. [14]. Smith,D.N. Trust me, would I steer you wrong? The influence of peer recommendations with in virtual communities [D]. University of Illinois at Chicago, 2002. [15]. Strauss, A.&Corbin, J. M. Basics of Qualitative Research: Grounded Theory Procedures and Techniques [M]. Newbury Park, CA: Sage, 1998. [16]. Sweeney, J. C., Soutar,G.N., Mazzarol,T. The Differences Between Positive And Negative Word-Of-Mouth –Emotion As A Differentiator? [C]. ANZMAC 2005 conference. 2005, 331~337. 38