The words you are searching are inside this book. To get more targeted content, please make full-text search by clicking here.
Discover the best professional documents and content resources in AnyFlip Document Base.
Search
Published by Phantasy Farm, 2022-07-10 11:35:38

CARMEN GOO HSU YUE

CARMEN GOO HSU YUE

4.4.3 Significant Interactive Effect between Valence of Past Experience and the
Extremity Level of Negative eWOM towards Purchase Intention

The two-way ANOVA was conducted on the influence of two independent
variables (valence of past experience and extremity level of negative eWOM) on
purchase intention. Valence of past experience included two levels (Postive, Negative)
and extremity level of negative eWOM consisted of two levels as well (High, Low).
All effects were statistically significant at the 0.05 significance level except for the
extremity level of negative eWOM factor.

The main effect for valence of past experience yielded an F ratio of
F(1,299)=45.841, p=0.000, indicating a significant difference between positive
(M=5.22, SD=1.137) and negative (M=3.96, SD=1.474) valence of past experience.
This indicates that respondents with positive past experience (M=5.22, SD=1.137)
would have a greater purchase intention compared to those who have a negative past
experience (M=3.96, SD=1.474).

The main effect for extremity level of negative eWOM yielded an F ratio of
[F(1,299)=1.612, p=0.205, indicating that the effect for extremity level of negative
eWOM was not significant, low extremity level of negative eWOM (M=5.01, SD=1.27)
and high extremity level of negative eWOM (M=5.00, SD=1.308).

The interaction effect was significant, F(1,299)=4.556, p=0.034, indicating that
there was a statistically significant interaction between the effects of valence of past
experience and extremity level of negative eWOM on purchase intention. In the
positive past experience condition, respondents that are exposed to low extremity level
of negative eWOM (M=5.3, SD=0.979) would have a greater purchase intention
compared to those exposed to high extremity level of negative eWOM (M=5.14,
SD=1.274). However, there was no simple effect recorded for the negative past

41

experience condition. Figure 4.2 below illustrates the interactive effect between
valence of past experience and extremity level of negative eWOM on purchase
intention.

Figure 4.2: Estimated Marginal Means of Purchase Intention

4.5 Paired Sample T-Test

A paired sample t-test was conducted to compare the purchase intention of
respondents before and after being exposed to different extremity level of negative
eWOM. Table 4.6 below shows the result for the paired sample t-test. There was a
significant difference in initial purchase intention (M=5.42, SD=1.057) and post
purchase intention (M=5.01, SD=1.287); t(302)=7.164, p=0.000. The results suggest
that extremity level of negative eWOM negatively influence consumers’ purchase
intention.

Table 4.6: Paired Sample T-Test result

Purchase Initial Post t df Sig
Intention M = 5.42 M= 5.01 7.164 302 .000
SD= 1.057 SD= 1.287
42

4.6 Hypothesis Testing

A summary of the hypothesis testing in this research is derived in Table 4.7
below. According to the results, 3 out of 4 hypothesis proposed are accepted while
Hypothesis 2 is rejected. It is also possible to highlight that the moderator effect is not
present for the extremity level of negative eWOM as the interaction effect is
statistically significant where Hypothesis 3 is accepted (Namazi & Namazi, 2016:
p.543).

Table 4.7: Summary of Hypothesis Testing

Hypothesis Relationship Result
H1 There is significant main effect of valence of past Accepted
H2 experience on purchase intention. Rejected
H3 There is significant main effect of extremity level of Accepted
negative eWOM on purchase intention.
H4 There is significant interactive effect between valence Accepted
of past experience and the extremity level of negative
eWOM towards purchase intention
There are significant difference between pre
competency test and post competency test of purchase
intention.

43

CHAPTER 5: DISCUSSION AND CONCLUSION
5.1 Introduction

This chapter aims to indepthly discuss the overall findings of this research. It
will also cover the implications, limitations of findings, recommendations as well as
conclusion of the study.

5.2 The effects of past experience valence towards purchase intention
Since the early 20 century, word of mouth has been known as a leading predictor

of a company’s growth and success (Marsden, Samson, & Upton, 2005). While the
Internet has been rapidly evolving, electronic WOM or eWOM has become one of the
most discussed topic among researchers and practitioners. While previous research
only focuses on the effects of past experience, this study tends to put more weightage
the effects of past experience under different valence. The findings of the study
suggests that consumers with postive past experience versus those with negative past
experience would more likely have a higher purchase intention. While this result is
consistent with previous research findings that past experience gives a significant
impact on purchase intention (Ahmad et al., 2014; Kim & Chung, 2011), it is important
to highlight that valence of past experience is positively related to purchase intention
where the more positive the past experience is, the greater the intention of purchase.
However, this effect is qualified by the extremity of negative eWOM x valence of past
experience interaction which will be further discussed in the below subsections.

44

5.3 The effects of negative eWOM’s extremity level towards purchase intention

While previous studies focuses on the effect of eWOM of different valence
towards purchase intention, this study takes a step ahead by including different
extremity level of eWOM while only focusing on the negative valence as negative
eWOM is proven to give more impact compared to positive eWOM (Lee & Youn,
2009).

Results of the study shows that consumer’s purchase intention decreases after
being exposed to negative eWOM however the different extremity level of negative
eWOM did not show any significant difference. This could be elaborated that although
it is proven that negative eWOM do give affect towards purchase intention, different
extremity level of negative eWOM alone does not do any difference in terms of effect
towards purchase intention. This result actually difers from Lee at al. (2009) study
which suggest that greater extremity level of eWOM would give high level of attitude
change compared to a lower extremity level of eWOM.

5.4 The interaction effect between the valence of past experience and the
extremity level of negative eWOM towards purchase intention

Before quickly jumping into conclusion, it is critical to emphasise that the
interaction effect of valence of past experience and extremity level of negative eWOM
on purchase intention is present for this study. This means that interpretation of the
main effects are highly dependent on the interaction effect and both needs to be thought
of together to make sense to each. Therefore, the main effect of valence of past
experience as previously discussed is qualified by an extremity of negative eWOM x
valence of past experience interaction. This actively demonstrates that the main effect

45

of past experience can be changed by the extremity of negative eWOM. Results
suggests that consumers exposed to low extremity level of negative eWOM would
have a greater purchase intention compared to those exposed to high extremity level
of negative eWOM if they previously have a positive past experience. This indicates
that there is a generally consistent effect of valence of past experience although
extremity level of negative eWOM causes some changes to the influence for certain
conditions. Jones et al. (2009) study supports this result where they believe experience
are more likely to dominate the processing of weaker stimuli such as eWOM, while in
this case the extremity level of negative eWOM.

Apart from that, it is also an interesting result to contribute to Namazi & Namazi
(2016) study which stressed on the importance of the presence of moderator variables
in research designs. The effects of a moderator variable can be identify through the
interaction effect of independent variable and moderating variable which in this study
is the valence of past experience and extremity level of negative eWOM. Although
Hypothesis 2 which tries to encouver the main effect of extremity level of negative
eWOM on purchase intention is rejected, the moderating effect of extremity level of
negative eWOM is proven via the interaction effect (Hypothesis 3). The results show
that when different extremity level of negative eWOM is exposed to consumers with
positive past experience, it would most likely affect their purchase intention differently.

46

5.5 The singnificant difference between pre and post purchase intention after
exposed to negative eWOM
Besides testing the purchase intention after respondents’ exposure to different

extremity level of eWOM, a pre-purchase intention was also measured in this study as
a benchmark before the exposure which is mainly based on their past experience.
According to the results, there is a significant different between both purchase
intention measured showing that there is a change in purchase intention after
respondents are being exposed to different extremity level of negative eWOM. This
significant difference actually reconfirms that negative eWOM no matter its extremity
level does give effect towards consumers’ purchase intention. This result is also
supported by studies from Lee & Youn (2009), Sparks & Browning (2011) and
Suwandee et al. (2019). Along the line, it is also interesting that note that the effect is
negative, where extremity level of negative eWOM negatively influence consumers’
purchase intention. This means that consumers’ purchase intention records a decrease
after exposed to different extremity level of negative eWOM.

5.6 Implications

Overall, it can be concluded that valence of past experience is an important factor
in influencing purchase intention, while different extremity of negative eWOM will
give affect to consumers purchase intention if that particular consumer previously had
a positive experience.

This present study provides several insights for organizations, marketers and
practitioners. Firstly, marketers should be fully aware of the importance of valence of
past experience towards consumers’ purchase intention. Results have proven that past

47

experience valence do give effect towards purchase intention therefore organizations
should not negelate touchpoints that could help to boost consumers’ experience during
their purchasing journey. Maintaining a positive past experience for customers would
definitely be benefical to the organization in the long run.

Apart from that, marketers should also be aware of the effects of different
extremity of negative eWOM towards consumers’ purchase intention especially
towards those first-time buyer. They are the most easily influenced group if exposed
to negative eWOM as brand loyalty has not been properly built yet. It would be a waste
of time and money if the carefully crafted positive past experience journey is being
tarnished even by the most lowest level of extremity of negative eWOM as it would
directly and immediately impact consumers’ purchase intention.

5.7 Limitation of Study and Recommendation for Future Research

This subsection will list out some suggestions that are recommended for future
research based on the current findings and limitation. Firstly, this research only took
account different extremity level of negative eWOM with the agreement that negative
eWOM would give greater impact compared to positive eWOM. However, the impact
of positive eWOM in different extremity level should not be ignored as well. Future
research could consider including different extremity level of positive eWOM in order
to compare its influence towards purchase intention.

Other than that, this study only uses 1 stimuli which is one negative eWOM for
each extremity level. Pramestiara & Rahab (2018) suggests in their research that the
quality and quantity of eWOM has a significant effect on purchase intention. Therefore,
future research could control the amount of negative eWOM used for participants to

48

review before measuring their purchase intention to gain valuable insight if the higher
quantity negative eWOM is exposed the greater the difference in purchase intention.

Esmark Jones et al. (2018) also suggested that companies responding to
negative eWOM would benefit the company while influence consumer’s attitude
towards the company. This leads to another suggestion where stimuli of negative
eWOM could also incorporate responses of company below to test whether it will
record a change in consumers’ purchase intention.

The current study is also limited only to the aviation industry, solely on AirAsia
in Malaysia. It is recommended to further expand the research horizon to other
industries or companies apart from the aviation industry which has their focus on
online presence as well. While this study does not collect specific demographic data
and only limiting on geographical area which is Malaysia, future research could also
include demographic data collection such as age and educational background as they
might also affect the interactive effects of valence of past experience and extremity of
negative eWOM towards purchase intention.

5.8 Conclusion

In a nutshell, the eWOM has been a cherry on top for marketers in this decade
due to its undeniable great influence towards consumer especially now proven to give
effect to consumers’ purchase intention. However, marketers should not ignore the fact
that there are many other preceeding elements that is more dominant in the influencing
process such as valence of past experience. While this study shows that there is a
generally consistent effect of valence of past experience towards purchase intention,
the extremity level of negative eWOM could moderate this effect. Organizations and

49

markerters should keep in mind that it is important to craft a positive purchasing
experience for consumers to increase their future purchase intention but also becareful
of the effects of negative eWOM towards it, especially in different extremity level.

Overall, this research project has met its objectives to examine the influence of
valence of past experience and extremity level of negative eWOM on purchase
intention. While this research project has faced several limitations, they have been
supported by recommendations which has the goal of contributing to the relevant
industry as whole in the future.

50

REFERENCES

2018 ReviewTrackers Online Reviews Stats and Survey | ReviewTrackers. (n.d.).
Retrieved 6 December 2020, from
https://www.reviewtrackers.com/reports/online-reviews-survey/

Ahmad, N., Yousif, M., Shabeer, K., & Imran, M. (2014). A Comprehensive Model
on Consumer’s Purchase Intention towards Counterfeit Mobiles in Pakistan. J.
Basic. Appl. Sci. Res, 4(5), 131–140.

Ajzen, I. (1991). The Theory of Planned Behavior Organizational Behavior and
Human Decision Processes. Organizational Behavior and Human Decision
Processes, 50(2), 179–211.

Alford, B. L., & Biswas, A. (2002). The effects of discount level, price consciousness
and sale proneness on consumers’ price perception and behavioral intention.
Journal of Business Research, 55(9), 775–783. https://doi.org/10.1016/S0148-
2963(00)00214-9

Amado, A., Cortez, P., Rita, P., & Moro, S. (2018). Research trends on Big Data in
Marketing: A text mining and topic modeling based literature analysis. European
Research on Management and Business Economics, 24(1), 1–7.
https://doi.org/10.1016/j.iedeen.2017.06.002

Aziz, N. N. A., & Wahid, N. A. (2018). Factors Influencing Online Purchase Intention
among University Students. International Journal of Academic Research in
Business and Social Sciences, 8(7). https://doi.org/10.6007/ijarbss/v8-i7/4413

Babić Rosario, A., de Valck, K., & Sotgiu, F. (2020). Conceptualizing the electronic
word-of-mouth process: What we know and need to know about eWOM creation,
exposure, and evaluation. Journal of the Academy of Marketing Science, 48(3),
422–448. https://doi.org/10.1007/s11747-019-00706-1

Barhorst, B., & Retweeting, A. (2017). Retweeting Brand Experiences : Factors
Motivating Receivers To Proliferate Brand. 5–13.

Baumeister, R. F., Bratslavsky, E., Finkenauer, C., & Vohs, K. D. (2001). Bad Is
Stronger Than Good. Review of General Psychology, 5(4), 323–370.
https://doi.org/10.1037/1089-2680.5.4.323

Bentler, P. M., & Speckart, G. (1979). Models of attitude–behavior relations.
Psychological Review, 86(5), 452.

Bernhard, C., Oberfeld, D., Hoffmann, C., Weismüller, D., & Hecht, H. (2020). User
acceptance of automated public transport: Valence of an autonomous minibus
experience. Transportation Research Part F: Traffic Psychology and Behaviour,
70, 109–123. https://doi.org/10.1016/j.trf.2020.02.008

Bettman, J. R. (1979). Memory Factors in Consumer Choice: A Review. Journal of
Marketing, 43(2), 37–53. https://doi.org/10.1177/002224297904300205

ix

Bhandari, M., & Rodgers, S. (2018). What does the brand say? Effects of brand

feedback to negative eWOM on brand trust and purchase intentions. International
Journal of Advertising, 37(1), 125–141.

https://doi.org/10.1080/02650487.2017.1349030

Bronner, F., & de Hoog, R. (2011). Vacationers and eWOM: Who posts, and why,
where, and what? Journal of Travel Research, 50(1), 15–26.

https://doi.org/10.1177/0047287509355324

Casado-Diaz, A.B., Pérez-Naranjo, L. y Sellers-Rubio, R. (2017). Aggregate

consumer ratings and booking intention: the role of brand image. Services
Business, 11(3), 543–562. https://doi.org/10.1007/s11628-016-0319-0

Chan, J. M., & Yazdanifard, R. (2014). How Social Media Marketing can Influence
the Profitability of an Online Company From a Consumer Point of View. Journal
of Research in Marketing, 2(2), 157. https://doi.org/10.17722/jorm.v2i2.55

Chin, T. A., Lai, L. Y., & Huam, H. T. (2018). Determinants of brand image and their

impacts on purchase intention of Grab. Journal of Arts and Social Sciences, 2(1),
26–36.

Chiosa, A. R., & Anastasiei, B. (2017). Negative Word-Of-Mouth: Exploring The
Impact Of Adverse Messages On Consumers’ Reactions On Facebook. Review of
Economic and Business Studies, 10(2), 157–173. https://doi.org/10.1515/rebs-
2017-0059

Clement, J. (2019). • Global digital population 2019 | Statista. Retrieved 18 November
2019, from Statista website: https://www.statista.com/statistics/617136/digital-
population-worldwide/

Clemons, E. K., Gao, G., & Hitt, L. M. (2006). When online reviews meet

hyperdifferentiation: A study of the craft beer industry. Journal of Management
Information Systems, 23(2), 149–171. https://doi.org/10.2753/MIS0742-

1222230207

Conner, M., & Norman, P. (2006). Predicting Health Behaviour: reseaarch and
practice with social congnition model. Predicting Health Behaviour, 172–182.

Conner, M., & Armitage, C. J. (1998). Extending the theory of planned behavior: A

review and avenues for further research. Journal of Applied Social Psychology,
28(15), 1429–1464. https://doi.org/10.1111/j.1559-1816.1998.tb01685.x

Dafoe, A., Zhang, B., & Caughey, D. (2018). Information Equivalence in Survey

Experiments. Political Analysis, 26(4), 399–416.

https://doi.org/10.1017/pan.2018.9

Department of Statistics Malaysia (DOSM). (2020). Current Population Estimates,
Malaysia, 2020. Retrieved from Department of Statistics Malaysia (DOSM)
website:
https://www.dosm.gov.my/v1/index.php?r=column/cthemeByCat&cat=155&bu
l_id=OVByWjg5YkQ3MWFZRTN5bDJiaEVhZz09&menu_id=L0pheU43NW
JwRWVSZklWdzQ4TlhUUT09

x

Dhar, V., & Chang, E. A. (2009). Does Chatter Matter? The Impact of User-Generated
Content on Music Sales. Journal of Interactive Marketing, 23(4), 300–307.

Elseidi, R. I., & El-Baz, D. (2016). Electronic word of mouth effects on consumers’
brand attitudes, brand image. International Conference on Restructuring of the
Global Economy (ROGE), University of Oxford, UK, 7(5), 268–276.

Esmark Jones, C. L., Stevens, J. L., Breazeale, M., & Spaid, B. I. (2018). Tell it like it

is: The effects of differing responses to negative online reviews. Psychology and
Marketing, 35(12), 891–901. https://doi.org/10.1002/mar.21142

Farzin, M., & Fattahi, M. (2018). eWOM through social networking sites and impact

on purchase intention and brand image in Iran. Journal of Advances in
Management Research, 15(2), 161–183.

Filieri, R., Alguezaui, S., & McLeay, F. (2015). Why do travelers trust TripAdvisor?

Antecedents of trust towards consumer-generated media and its influence on
recommendation adoption and word of mouth. Tourism Management, 51, 174–

185. https://doi.org/10.1016/j.tourman.2015.05.007

Fishbein, M., & Ajzen, I. (1977). Belief, attitude, intention, and behavior: An
introduction to theory and research (Vol. 5). https://doi.org/10.1016/0883-
9026(90)90031-N

Floh, A., Koller, M., & Zauner, A. (2013). Taking a deeper look at online reviews: The

asymmetric effect of valence intensity on shopping behaviour Accepted for

Publication in the Journal of Marketing Management Taking a deeper look at

online reviews: The asymmetric effect of valence intensity on. Journal of
Marketing Management, 29(5–6), 646–670.

Floyd, K., Freling, R., Alhoqail, S., Cho, H. Y., & Freling, T. (2014). How online

product reviews affect retail sales: A meta-analysis. Journal of Retailing, 90(2),
217–232. https://doi.org/10.1016/j.jretai.2014.04.004

Forman, C., Ghose, A., & Wiesenfeld, B. (2008). Examining the relationship between

reviews and sales: The role of reviewer identity disclosure in electronic markets.

Information Systems Research, 19(3), 291–313.

https://doi.org/10.1287/isre.1080.0193

Gaines, B. J., Kuklinski, J. H., & Quirk, P. J. (2007). The logic of the survey
experiment reexamined. Political Analysis, 15(1), 1–20.

https://doi.org/10.1093/pan/mpl008

Ghosh, P., Dasgupta, D., & Ghosh, D. (1990). Retail management.

Globaldata. (2020). COVID-19 accelerates e-commerce growth in Malaysia, says
GlobalData. Retrieved from https://www.globaldata.com/covid-19-accelerates-e-
commerce-growth-malaysia-says-globaldata/

Gnambs, T., & Kaspar, K. (2014). Disclosure of sensitive behaviors across self-

administered survey modes: a meta-analysis. Behavior Research Methods, 47(4),
1237–1259. https://doi.org/10.3758/s13428-014-0533-4

xi

Goeltom, V. A. H., Kristiana, Y., Juliana, Pramono, R., & Purwanto, A. (2019). The

influence of intrinsic, extrinsic, and consumer attitudes towards intention to stay
at a Budget Hotel. African Journal of Hospitality, Tourism and Leisure, 8(2), 1–

16.

Grewal, D., Hardesty, D. M., & Iyer, G. R. (2004). The effects of buyer identification
and purchase timing on consumers’ perceptions of trust, price fairness, and
repurchase intentions. Journal of Interactive Marketing, 18(4), 87–100.

https://doi.org/10.1002/dir.20024

Haque, A., Tarofder, A. K., Rahman, M. M., & Almalmi, A. (2020). WHAT IMPACT
CONSUMERS’ NEGATIVE EWOM PURCHASE INTENTION? EVIDENCE

FROM MALAYSIA. International Journal of Advanced Science and Technology,
29(9), 310–325.

Hennig-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004). Electronic

word-of-mouth via consumer-opinion platforms: What motivates consumers to

articulate themselves on the Internet? Journal of Interactive Marketing, 18(1),
38–52. https://doi.org/10.1002/dir.10073

Ishida, K., Slevitch, L., & Siamionava, K. (2016). The Effects of Traditional and
Electronic Word-of-Mouth on Destination Image: A Case of Vacation Tourists
Visiting Branson, Missouri. Administrative Sciences, 6(4), 12.
https://doi.org/10.3390/admsci6040012

Jaafar, S. N. (2018). Consumers ’ Perception s , Attitudes and Purchase Intention
towards Private Label Food Products in Malaysia. 2(8).

Jaafar, S. S. (2020). Over two-thirds of Malaysians now more comfortable shopping
online after Covid-19 — StanChart. Retrieved from The Edge Market website:

https://www.theedgemarkets.com/article/over-twothirds-malaysians-now-more-
comfortable-shopping-online-after-covid19-—-stanchart

Jeddi, A. R., Renani, N. G., Khademi, A., Shokri, V., & Noordin, M. Y. (2014). Low-

cost strategy factors in airline industry: The AirAsia case. Advanced Materials

Research, 845(December), 652–657.

https://doi.org/10.4028/www.scientific.net/AMR.845.652

Jeong, H. J., & Koo, D. M. (2015). Combined effects of valence and attributes of e-

WOM on consumer judgement for message and product The moderating effect
of brand community type. Internet Research, 25(1), 2–29.

https://doi.org/10.1108/IntR-09-2013-0199

Jones, S. A., Aiken, K. D., & Boush, D. M. (2009). Integrating experience, advertising,
and electronic word of mouth. Journal of Internet Commerce, 8(3–4), 246–267.

https://doi.org/10.1080/15332860903467664

Jun, S. H. (2020). The effects of perceived risk, brand credibility and past experience
on purchase intention in the Airbnb context. Sustainability (Switzerland), 12(12).
https://doi.org/10.3390/su12125212

xii

Jung, N. Y., & Seock, Y. K. (2016). The impact of corporate reputation on brand
attitude and purchase intention. Fashion and Textiles, 3(1).
https://doi.org/10.1186/s40691-016-0072-y

Karjaluoto, H., Munnukka, J., & Kiuru, K. (2016). Brand love and positive word of

mouth: the moderating effects of experience and price. Journal of Product and
Brand Management, 25(6), 527–537. https://doi.org/10.1108/JPBM-03-2015-

0834

Kazmi, A., & Mehmood, Q. S. (2016). The effect of electronic word of mouth

communication and brand image on purchase intention: A case of consumer
electronics in Haripur, Pakistan. Management Science Letters, 6, 409–508.

https://doi.org/10.5267/j.msl.2016.5.003

Kerstetter, D., & Cho, M. H. (2004). Prior knowledge, credibility and information
search. Annals of Tourism Research, 31(4), 961–985.

https://doi.org/10.1016/j.annals.2004.04.002

Kim, H. Y., & Chung, J. E. (2011). Consumer purchase intention for organic personal
care products. Journal of Consumer Marketing, 28(1), 40–47.

https://doi.org/10.1108/07363761111101930

King, R. A., Racherla, P., & Bush, V. D. (2014). What we know and don’t know about

online word-of-mouth: A review and synthesis of the literature. Journal of

Interactive Marketing, 28(3), 167–183.

https://doi.org/10.1016/j.intmar.2014.02.001

Kotler, P., & Keller, K. L. (2016). Marketing Management (15e ed.). England: Pearson
Education Limited.

Krishnamurthy, A., & Kumar, S. R. (2018). Electronic word-of-mouth and the brand
image: Exploring the moderating role of involvement through a consumer
expectations lens. Journal of Retailing and Consumer Services, 43(October 2017),
149–156. https://doi.org/10.1016/j.jretconser.2018.03.010

Kudeshia, C., & Kumar, A. (2017a). Social eWOM : does it affect the brand attitude
and purchase intention of brands? Management Research Review, 40(3), 310–
330. https://doi.org/10.1108/MRR-07-2015-0161

Kudeshia, C., & Kumar, A. (2017b). Social eWOM : does it affect the brand attitude
and purchase intention of Management Research Review Article information :
(January). https://doi.org/10.1108/MRR-07-2015-0161

Kumar, S., & Purbey, S. (2018). Benchmarking model for factors influencing creation
of negative electronic word of mouth. Benchmarking, 25(9), 3592–3606.

https://doi.org/10.1108/BIJ-08-2017-0222

Lane Keller, K. (2001). Mastering the Marketing Communications Mix: Micro and

Macro Perspectives on Integrated Marketing Communication Programs. Journal
of Marketing Management, 17(7–8), 819–847.

https://doi.org/10.1362/026725701323366836

xiii

Lee, M., Rodgers, S., & Kim, M. (2009). Effects of valence and extremity of eWOM
on attitude toward the brand and website. Journal of Current Issues and Research
in Advertising, 31(2), 1–11. https://doi.org/10.1080/10641734.2009.10505262

Lee, M., & Youn, S. (2009). Electronic word of mouth (eWOM): How eWOM
platforms influence consumer product judgement. International Journal of
Advertising, 28(3), 473–499. https://doi.org/10.2501/S0265048709200709

Li, H., Qi, R., Liu, H., Meng, F., & Zhang, Z. (2021). Can time soften your opinion?
The influence of consumer experience valence and review device type on
restaurant evaluation. International Journal of Hospitality Management,
92(October 2020), 102729. https://doi.org/10.1016/j.ijhm.2020.102729

Luo, M. M., Chen, M. W., & Chea, S. (2020). FACEBOOK EWOM MARKETING
STRATEGY: A SOCIAL SUPPORT THEORY PERSPECTIVE. PEOPLE:
International Journal of Social Sciences, 6(1), 501–511.
https://doi.org/10.20319/pijss.2020.61.501511

Marcano Belisario, J. S., Huckvale, K., Saje, A., Porcnik, A., Morrison, C. P., & Car,
J. (2014). Comparison of self administered survey questionnaire responses
collected using mobile apps versus other methods. Cochrane Database of
Systematic Reviews, 2014(4). https://doi.org/10.1002/14651858.MR000042

Marsden, P., Samson, A., & Upton, N. (2005). Advocacy drives growth. Brand
Strategy, 44(September), 45–47.

Mishra, P., Singh, U., & Pandey, C. M. (2019). Application of Student ’ s t ‑ test ,
Analysis of Variance , and Covariance. Annals of Cardiac Anaesthesia, 22(4),
407–412. https://doi.org/10.4103/aca.ACA

Moorman, C., Kirby, L., McCarthy, T., & Shkil, B. (2020). 5 Marketing Strategies—
and Missed Opportunities—During COVID-19. Retrieved 4 November 2020,
from https://www.ama.org/marketing-news/5-marketing-opportunities-in-the-
covid-19-era/

Nadarajan, G., Bojei, J., & Khalid, H. (2017). The study on negative eWOM and its
relationship to consumer’s intention to switch Mobile Service Provider. Procedia
Computer Science, 124, 388–396. https://doi.org/10.1016/j.procs.2017.12.169

Nam, K., Baker, J., Ahmad, N., & Goo, J. (2020). Determinants of writing positive
and negative electronic word-of-mouth: Empirical evidence for two types of
expectation confirmation. Decision Support Systems, 129(February 2020).
https://doi.org/10.1016/j.dss.2019.113168

Namazi, M., & Namazi, N.-R. (2016). Conceptual Analysis of Moderator and
Mediator Variables in Business Research. Procedia Economics and Finance,
36(16), 540–554. https://doi.org/10.1016/s2212-5671(16)30064-8

Park, S., Chung, S., & Lee, S. (2019). The effects of online product reviews on sales
performance: Focusing on number, extremity, and length. Journal of Distribution
Science, 17(5), 85–94. https://doi.org/10.15722/JDS.17.5.201905.85

xiv

Pramestiara, A., & Rahab. (2018). The Effect of Electronic Word-of-Mouth in Social
Media toward Consumer Purchase Decision with Brand Image as Moderating
Variable. Journal Of Research In Management, 1(1), 1–6.
https://doi.org/10.32424/jorim.v1i1.14

Purnawirawan, N., De Pelsmacker, P., & Dens, N. (2012). Balance and Sequence in
Online Reviews: How Perceived Usefulness Affects Attitudes and Intentions.
Journal of Interactive Marketing, 26(4), 244–255.
https://doi.org/10.1016/j.intmar.2012.04.002

Rahman, A., Abir, T., Yazdani, D. M. N.-A., Hamid, A. B. A., & Mamun, A. Al.
(2020). Brand Image, eWOM, Trust and Online Purchase Intention of Digital
Products among Malaysian Consumers. Journal of Xi’an University of
Architecture & Technology, XII(III), 4935–4946.
https://doi.org/10.37896/jxat12.03/452

Raju, P. S., & Reilly, M. D. (1980). Product familiarity and information processing
strategies: An exploratory investigation. Journal of Business Research, 8(2),
187–212.

Rakjit, K., & Laohavichien, T. (2020). The Role by Electronic Word-of-Mouth
( EWOM ) Influencing Trust and Brand Image in Online Hotel Booking Among
Thai Generation Z. BU Academic Review, 19(1), 204–220.

Rao, A. R., & Monroe, K. B. (1988). The Moderating Effect of Prior Knowledge on
Cue Utilization in Product Evaluations. Journal of Consumer Research, 15(2),
253. https://doi.org/10.1086/209162

Reid, L. J., & Reid, S. D. (1994). Communicating tourism supplier services: Building
repeat visitor relationships. ,. Journal of Travel & Tourism Marketing, 2(2–3), 3–
19.

Richins, M. L., & Root-Shaffer, T. (1988). The role of involvement and opinion
leadership in consumer word-of-mouth: An implicit model made explicit.
Advances in Consumer Research, 15(September), 32–36.

Schiffman, L. G., & Kanuk, L. L. (2009). Consumer behavior. Harlow, England:
Prentice Hall.

Schindler, R. M., & Bickart, B. (2005). Published word of mouth: Referable,
consumer-generated information on the internet. Online Consumer Psychology:
Understanding and Influencing Consumer Behavior in the Virtual World, 32–57.
https://doi.org/10.4324/9781410612694

Shim, S., & Drake, M. F. (1990). Consumer Intention to Utilize Electronic Shopping.
Journal of Direct Marketing, 4(3), 22–33.

Sparks, B., & Browning, V. (2011). The impact of online reviews on hotel booking
intentions and perception of trust. Tourism Management, 32(6), 1310–1323.

Statista. (2020a). Coronavirus impact: global in-home media consumption by country
2020. Retrieved 14 May 2020, from Statista website:
https://www.statista.com/statistics/1106498/home-media-consumption-

xv

coronavirus-worldwide-by-country/

Statista. (2020b). Frequency of online purchases during COVID-19 pandemic
Malaysia 2020. Retrieved 4 November 2020, from
https://www.statista.com/statistics/1128935/malaysia-frequency-of-online-
purchase-covid-19/

Sun, T., Youn, S., Wu, G., & Kuntaraporn, M. (2006). Online word-of-mouth (or

mouse): An exploration of its antecedents and consequences. Journal of

Computer-Mediated Communication, 11(4), 1104–1127.

https://doi.org/10.1111/j.1083-6101.2006.00310.x

Suwandee, S., Surachartkumtonkun, J., & Lertwannawit, A. (2019). EWOM firestorm:

young consumers and online community. Young Consumers Insight and Ideas for
Responsible Marketers, 21(1), 1–15. https://doi.org/10.1108/YC-03-2019-0982

Tan, M. Z. (2020). Fielding 150,000 queries a day during peak of Covid-19 pandemic,
AirAsia staff open up on cyberbullying. Retrieved 24 March 2021, from Malay
Mail website: https://www.malaymail.com/news/life/2020/09/10/fielding-
150000-queries-a-day-during-peak-of-covid-19-pandemic-airasia-staf/1901890

Tantrabundit, P. , Phothong, L. , Chanprasitchai, O. (2018). The Effects of Negative
Electronic Word-of-Mouth and Webcare on Thai Online Consumer Behavior.
International Journal of Economics and Management Engineering, 12(6), 728–
740. Retrieved from
https://www.researchgate.net/profile/Pongsatorn_Tantrabundit/publication/3273
86425_The-Effects-of-Negative-Electronic-Word-of-Mouth-and-Webcare-on-
Thai-Online-Consumer-Behavior/data/5b8ba527a6fdcc5f8b7830e7/The-
Effects-of-Negative-Electronic-Word-of-Mouth

Tariq, M., Abbas, T., Abrar, M., & Iqbal, A. (2017). EWOM and brand awareness

impact on consumer purchase intention: mediating role of brand image. Pakistan
Administrative Review, 1(1), 84–102.

Terry Daugherty, Matthew S. Eastin, L. B. (2008). Exploring Consumer Motivations

For Creating User-Generated Content. Journal of Interactive Advertising, 8(2),
16–25. https://doi.org/10.1016/S0301-2115(96)02613-9

Tkaczyk, J., & Krzyżanowska, M. (2014). Consumer attitude toward payment for

recommendations. International Journal of Management Cases, 16(2), 46–60.

Retrieved from

http://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=97489524&si

te=bsi-live

Tuch, A. N., Van Schaik, P., & Hornbæk, K. (2016). Leisure and work, good and bad:

The role of activity domain and valence in modeling user experience. ACM
Transactions on Computer-Human Interaction, 23(6), 1–39.

https://doi.org/10.1145/2994147

Vahdati, H., & Nejad, S. H. M. (2016). Brand personality toward customer purchase

intention: The intermediate role of electronic word-of-mouth and brand equity.
Asian Academy of Management Journal, 21(2), 1–26.

xvi

https://doi.org/10.21315/aamj2016.21.2.1

Verhoef, P. C., Franses, P. H., & Hoekstra, J. C. (2002). The Effect of Relational

Constructs on Customer Referrals and Number of Services Purchased From a

Multiservice Provider: Does Age of Relationship Matter? Journal of the Academy
of Marketing Science, 30(3), 202–216.

Vermeulen, I. E., & Seegers, D. (2009). Tried and tested: The impact of online hotel
reviews on consumer consideration. Tourism Management, 30(1), 123–127.
https://doi.org/10.1016/j.tourman.2008.04.008

Weisberg, J., Te’eni, D., & Arman, L. (2011). Past purchase and intention to purchase
in e-commerce: The mediation of social presence and trust. Internet Research,
21(1), 82–96. https://doi.org/10.1108/10662241111104893

Will Horton. (2020). AirAsia Gives Refunds On A Case-By-Case Basis If Passengers

Decline Credit Voucher During COVID-19 Travel Cancellations. Retrieved 24

March 2020, from Forbes website:

https://www.forbes.com/sites/willhorton1/2020/04/11/airasia-gives-refunds-on-

a-case-by-case-basis-if-passengers-decline-credit-voucher-during-covid-19-

travel-cancellations/?sh=2d73ead56449

Xin Liu, Jing Hu, B. X. (2016). Does eWOM matter to brand extension? An
examination of the impact of online reviews on brand extension evaluations.
Journal of Research in Interactive Marketing.

Yang, Y., Wu, L., & Yang, W. (2018). Does time dull the pain? The impact of temporal

contiguity on review extremity in the hotel context. International Journal of

Hospitality Management, 75(April), 119–130.

https://doi.org/10.1016/j.ijhm.2018.02.015

Younus, S., Rasheed, F., & Zia, A. (2015). Identifying the Factors Affecting Customer
Purchase Intention. Global Journal of Management and Business Research, 15(2).
https://doi.org/10.1111/j.1365-2621.1940.tb17194.x

Zhang, T. (Christina), Abound Omran, B., & Cobanoglu, C. (2017). Generation Y’s
positive and negative eWOM: use of social media and mobile technology.
International Journal of Contemporary Hospitality Management, 29(2), 732–761.
https://doi.org/10.1108/IJCHM-10-2015-0611

Zhang, T. C., Omran, B. A., & Cobanoglu, C. (2017). Generation Y’s positive and
negative eWOM: use of social media and mobile technology. International
Journal of Contemporary Hospitality Management, 29(2), 732–761.

Zhu, Y. Q., & Chen, H. G. (2015). Social media and human need satisfaction:
Implications for social media marketing. Business Horizons, 58(3), 335–345.

https://doi.org/10.1016/j.bushor.2015.01.006

xvii

APPENDICES

Appendice A: Survey Form

Effects of Past Experience Valence and Negative eWOM Extremity
on Consumer’s Purchase Intention: A Study on AirAsia

Dear respondents,

Good day! I am Carmen Goo, a postgraduate student of Master in Integrated Marketing
Communication, from Universiti Sains Malaysia (USM), Penang. I am currently
conducting a research to study consumer’s purchase intention with the effects of past
experience valence and negative eWOM extremity.

The survey consists of five (5) sections. Please answer all the questions in each section.
The survey will take approximately 5 to 10 minutes to complete. This survey is
designed for academic and research purposes only where all responses are anonymous
and information will be kept strictly confidential.

If you have any inquiries regarding this survey, kindly contact me at
carmengoohy@student.usm.my. Thank you for your time and participation!

Section A

1. Have you heard or know about Air Asia?

 Yes  No

2. Did you fly or used Air Asia products before?

 Yes  No

Section B: Past Experience 6 7
Kindly choose from a scale of 1 to 7 for the below statement. Strongly Agree

1. Overall, my experience flying with Air Asia is very likable.
 1 2 3 4 5
Strongly Disagree

2. My trip flying with Air Asia in the past is very pleasant. 6 7
Strongly Agree
 1 2 3 4 5
Strongly Disagree

3. I found Air Asia a better choice to have in the past. 6 7
Strongly Agree
 1 2 3 4 5
Strongly Disagree

4. My recent experience with Air Asia is very good. 6 7
Strongly Agree
 1 2 3 4 5
Strongly Disagree

Section C: Initial Purchase Intention

Kindly choose from a scale of 1 to 7 for the below statement.

1. It is likely that I would purchase Air Asia tickets in the future.

 1 2 3 4 5 6 7

Strongly Disagree Strongly Agree

2. I would consider flying with Air Asia next time when I think of travelling.

 1 2 3 4 5 6 7

Strongly Disagree Strongly Agree

3. I will continue to fly with Air Asia in the future. 6 7
Strongly Agree
 1 2 3 4 5
Strongly Disagree

Section D(a): Negative eWOM
The below is a comment posted in Air Asia’s Facebook page. Kindly read through the
below statement carefully before proceeding to the next section.

We are frequent flyers of AirAsia but are completely disappointed with the airline!
Our flight was cancelled by them without prior notice. We requested for a refund, and
was promised by the airline that we will be refunded in a few days. Attempt to get in
touch with AirAsia is extremely unorganized where it takes extra-long hours to get a
reply via their email. Their customer relations are the worst and major improvement
must be made. Overall, the experience is a complete disaster!

Section D(b): Negative eWOM
The below is a comment posted in Air Asia’s Facebook page. Kindly read through the
below statement carefully before proceeding to the next section.

We are frequent flyers of AirAsia but slightly disappointed with the airline.

Our flight was cancelled by them without prior notice. We requested for a refund, and
was promised by the airline that we will be refunded in a few days. Attempt to get in
touch with AirAsia is slightly unorganized where it takes long hours to get a reply via
their email. Their customer relations are okay but I feel it can be improved. Overall,
it is a slightly poor experience.

Section E: Post Purchase Intention
Kindly answer the below questions after carefully reading the statement from the
previous section.

1. It is likely that I would purchase Air Asia tickets in the future.

 1 2 3 4 5 6 7

Strongly Disagree Strongly Agree

2. I would consider flying with Air Asia next time when I think of travelling.

 1 2 3 4 5 6 7

Strongly Disagree Strongly Agree

3. I will continue to fly with Air Asia in the future. 6 7
Strongly Agree
 1 2 3 4 5
Strongly Disagree

Appendice B: Turnitin Report

Appendice C: Consultation Form


Click to View FlipBook Version