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Transcript
ASSOCIATION FOR CONSUMER RESEARCH
Labovitz School of Business & Economics, University of Minnesota Duluth, 11 E. Superior Street, Suite 210, Duluth, MN 55802
Relationship Glue: Customers and Marketers Co-Creating a Purchase Experience
Edwin Rajah, Auckland University of Technology, New Zealand
Roger Marshall, Auckland University of Technology, New Zealand
Inwoo Nam, Nanyang Technological University, Singapore
Co-creation occurs when a customer works together with a marketer to create a consumption experience that adds value to the
purchase process. Although authors have proposed this idea before, this research reports the first empirical support. The research
instrument first exposes different respondents to scenarios that differ in the extent of co-creation present whilst retaining exactly the
same eventual purchase outcome. Then the research variables (Co-creation, Trust, Satisfaction, Relationship strength, and Loyalty) are
measured. A structural equation model provides positive support for the hypothesized relationships, where co-creation does indeed
strengthen the relationship through increasing levels of satisfaction and trust.
[to cite]:
Edwin Rajah, Roger Marshall, and Inwoo Nam (2008) ,"Relationship Glue: Customers and Marketers Co-Creating a Purchase
Experience", in NA - Advances in Consumer Research Volume 35, eds. Angela Y. Lee and Dilip Soman, Duluth, MN :
Association for Consumer Research, Pages: 367-373.
[url]:
http://www.acrwebsite.org/volumes/13297/volumes/v35/NA-35
[copyright notice]:
This work is copyrighted by The Association for Consumer Research. For permission to copy or use this work in whole or in
part, please contact the Copyright Clearance Center at http://www.copyright.com/.
Relationship Glue: Customers and Marketers Co-Creating a Purchase Experience
Edwin Rajah, Auckland University of Technology, New Zealand
Roger Marshall, Auckland University of Technology, New Zealand
Inwoo Nam, Nanyang Technological University, Singapore
ABSTRACT
use’ perspective (Ramirez 1999; Vargo and Lusch 2004). The
degree of interaction with relevant actors is one factor that determines the quality and extent of the co-created solutions. In the
context of co-created value, it is not only the product or service the
customer purchases that generates value to the customer, but also
the total customer experience gained because of the dialogue and
interactions in the network of customer experiences. Thus, the total
customer experience in the purchase process determines the degree
of enhanced value derived from the co-created exchange. Cocreated value is a sum of the derivation of the dialogue, interactions,
personalized treatment, and level of customization co-created in the
experience network. This degree of enhanced value is what differentiates co-created customer experience from conventional value
derived from a company-centric customer experience.
RESEARCH FOCUS
In the conventional company-centric perspective, the marketA fundamental requirement for the evolution of the marketing ing provider is the dominant player in the creation, management,
function is to explore and develop marketing approaches that are and delivery of the product to the customer. The company-centric
customer-centric (Parasuraman and Grewal 2000). One new con- view holds that the customer is a passive player in the marketing
ceptual approach consistent with a customer-centric focus is co- process (Calhoun 2001; Prahalad and Ramaswamy 2000; Smith
creation, which can occur when a customer is actively involved in 2001).
Despite increasing attention on the co-creation approach to
some way in the design, delivery, and creation of the customer
experience(Sheth, Sisodia, and Sharma 2000). The literature sug- creating value, there are differing views on the actual meaning and
gests that the co-creation view shifts the focus onto the customer; definition of co-creation. There is general agreement in the literahence, Sheth’s assertion that co-creation is inherently customer- ture that co-creation is a customer-centric approach, however there
centric. In simple terms, co-creation creates a unique value for the is no clear consensus on the precise meaning of co-creation.
customer elevating a transaction to a relation-building experience. Furthermore, there is a range of terms used to denote customer
The outcome for a company adopting a co-creative approach is a participation in the value creating process. Authors have employed
terms such as customer participation, joint production, co-producunique differential advantage that is difficult to imitate.
The aim of this research is to empirically test this concept, by tion, collaboration, and joint-value creation to mirror co-creation.
investigating the extent to which customers who experience a co- However, these terms as applied in the literature do not always
created customer (purchase) experience derive increasing levels of equate to co-creation, leading to a lack of clarity regarding the
satisfaction and trust, and consequently develop a stronger relation- precise meaning of co-creation. From an analysis of the literature,
the adoption and practice of co-creation seems to have developed in
ship with the company and become more loyal.
two discrete stages.
The first stage is where the producer is the primary value
The Meaning of Co-Creation
A co-creative customer experience means that the customer is creator and customers participate in the co-creation process via
actively involved and contributing in some way in the design, toolkits set up by the company (Bitner, Faranda, Hubbert, and
delivery, and creation of the customer experience. To achieve the Zeithaml 1997; Jeppesen and Molin 2003; Kellog, Youngdahl, and
co-created experience, the customer must interact with the market- Bowen 1997; Kotze and du Plessis 2003). An example of this view
ing provider (and perhaps other relevant actors in the experience of customer co-creation is evident in mass customization strategies
network) to enable the co-construction of the experience. The of companies such as Dell (Lampel and Mintzberg 1996; Piller,
outcome of the active contribution of the customer makes each Schubert, Koch, and Moslein 2005).
The more mature conceptualization of co-creation is set in the
experience unique, personalized and may provide a customized
solution to the client. Co-creation is a new marketing approach that context of how customers interpret and create new meanings in
offers the potential for creating value for customers to a greater consumption. These meanings and interpretations are constructed
degree than company-centric marketing approaches. In co-cre- jointly and collaboratively together with the actors in the value
ation, the customer is an integral, active part of the value creating chain and or customers in the experience network (Flint 2005; Katz
process. This is in contrast to the conventional Porter Value Chain and Sugiyama 2005; Poulsson and Kale 2004; Prahalad and
framework, where the customer plays a passive role in the value Ramaswamy 2003; Wikstrom 1996b). Co-created value is the
outcome of the subjective, personalized consumption experience of
creation process (Ramirez 1999; Wikstrom 1996a).
Customer purchasing processes in the co-creation perspective the consumer. The focus here is on identity and image creation as
represent an important stage for value creation. Value, in the co- an outcome of the interactions in the experience network. In this
creation view, is a collaborative effort of all actors in the up and later approach to co-creation, the customer is the primary driving
downstream stages of the value-creating process. All actors in the force and the company becomes the facilitator in the co-creation
value-creation network act as facilitators in creating value, which is process.
In summary, co-creation is a process requiring an active
fully realized only when the customer uses the product for a specific
problem-solving situation. This is acknowledged as the ‘value in participation of the customer and relevant actors in the experience
367
Advances in Consumer Research
Volume 35, © 2008
Co-creation occurs when a customer works together with a
marketer to create a consumption experience that adds value to the
purchase process. Although authors have proposed this idea before,
this research reports the first empirical support. The research
instrument first exposes different respondents to scenarios that
differ in the extent of co-creation present whilst retaining exactly
the same eventual purchase outcome. Then the research variables
(Co-creation, Trust, Satisfaction, Relationship strength, and Loyalty) are measured. A structural equation model provides positive
support for the hypothesized relationships, where co-creation does
indeed strengthen the relationship through increasing levels of
satisfaction and trust.
368 / Relationship Glue: Customers and Marketers Co-Creating a Purchase Experience
FIGURE 1
The Research Model
network. The dialogue and interactions between the customer and
relevant actors leads to new, reconfigured, and enhanced problem
solving solutions for the customer. These solutions cannot occur
without the presence and interactions of relevant actors in a specific
co-creation situation. Co-created value is a derivative of a combination of the interactions, degree of personalization and
customization created in the context of customers’ problem solving
situation (Lundkvist and Yaklef 2004; Mascarenhas, Kesavan, and
Bernaccchi 2004; Normann and Ramirez 1993; Ottensen, Ranes,
and Gronhaug 2005; Ramaswamy 2005).
CO-CREATION AND ITS OUTCOMES: A
RESEARCH MODEL
Studies on co-creation up to now have focused primarily on
understanding and clarifying the concept. A key issue for marketers
is to develop a better understanding of the impact of co-creation on
the key marketing outcomes of customer satisfaction; customer
loyalty, trust, relationship strength and the consequent loyalty
induced. Strong empirical evidence between co-creation and key
performance measures, which is currently lacking, will provide
impetus to adopt co-creation marketing. The discussion in this
section will present theoretical links between co-creation and the
key performance measures mentioned above and illustrated in
Figure 1.
Co-creative enhancement of the quality of the purchase interaction over and above the value received from the product purchased from the business has two potential effects for the customer.
Firstly, it reduces the costs of a transaction for a customer and
secondly it reduces risk and uncertainty for the customer.
Vandenbosch and Dawer (2002) suggest that co-creation can reduce interaction costs for customers, which in turn will lead to
increased trust, satisfaction with the company and improve customer loyalty behavior.
Satisfaction
One important factor contributing to customer loyalty is
customer satisfaction (Garbarino and Johnson 1999). Consequently,
dissatisfied customers–or even customers with low satisfaction
levels–will generally not exhibit repurchase behavior. In this context, co-creation via active customer participation, interaction and
personalization can affect customer satisfaction, trust, and create
strong relationships between the company and customer. All these
will have an impact on customer loyalty (Bitner et al. 1997; Kellog
et al. 1997).
Trust and Relationship Strength
The KMV (Key Mediating Variables) Model put forward by
Morgan and Hunt (1994) postulates antecedents and outcomes in a
buyer-seller relationship within a business-to-business context.
The study reveals that trust does not form part of the relationship
commitment construct, rather it is a separate mediating variable
influencing the buyer seller relationship. A more recent article,
however, takes the perspective that relationship strength is a better
way to evaluating the buyer seller relationships (Hausman 2001).
The Relationship Strength construct is a hybrid construct that
combines the relationship commitment construct and the trust
variable of Morgan and Hunt (1994) into a single construct. In both
these approaches, the principal focus is the relationship itself–to
understand the mediating role of the relationship between a set of
inputs and outputs. The implicit assumption of both approaches is
that the strength of the relationship will influence customer retention. It is postulated here that co-creation, via its interaction and
personalization properties, will have a positive impact on trust and
consequently strengthen the relationship between the company and
customer ultimately leading to customer retention (Edvardsson and
Johnston 2005; Malaviya and Spargo 2002).
RESEARCH METHOD
In this preliminary study, the research exposes groups of
undergraduates to three different scenarios designed to generate a
broad range of perceptions of co-creation across the sample. The
researchers measure these perceptions on an instrument that also
gathers measurements of trust, satisfaction, relationship strength
and both attitudinal and behavioral loyalty. The analysis employs
AMOS 6.0 to construct and test the research model with structural
equations.
Sample
One of the researchers presented undergraduate students, in a
research methodology class, with a questionnaire in class time. The
exercise formed part of their curriculum studies and the class
instructor has blanket ethical approval for collecting data this way
as long as the work forms an integral part of the students’ course.
The database consists of 177 responses; the gender balance is
approximately even.
Materials, scales and procedure
Appendix 1 contains a complete questionnaire. The research
depends upon a device used to give a spread of scores on the Cocreation variable itself. Prior to answering the questionnaire the
respondents read one of three scenarios, each describing the same
purchase situation for an identical airline booking, but each scenario contains a different level of co-creation. The three scenarios
are in Appendix 2. After reading a scenario, each respondent
answered the research questions, finishing with three questions
asking their perceptions of the amount of co-creation in the scenario
Advances in Consumer Research (Volume 35) / 369
TABLE 1
Measurement Model fit statistics
Model
GFI
AGFI
CMIN/DF
RMR
RMSEA
CC/S/T
.958
.925
1.46
.044
.051
A/B Loyalty
.878
.787
3.85
.073
.127
TABLE 2
CFA for latent variables–regression weights
Estimate
S.E.
C.R.
p
RS2
← Relationship Strength
1.000
RS3
← Relationship Strength
1.011
.156
6.463
< .001
AL1 ← Loyalty
.804
.094
8.545
< .001
AL2 ← Loyalty
.761
.088
8.615
< .001
AL3 ← Loyalty
1.000
BL1
← Loyalty
.931
.092
10.148
< .001
BL2
← Loyalty
1.292
.113
11.404
< .001
BL3
← Loyalty
1.189
.107
11.144
< .001
BL4
← Loyalty
.899
.124
7.246
< .001
they had read. The Alpha coefficient for the newly developed,
three-item scale is .816. Relationship Strength has also never yet
been directly measured and reported in the literature. One of the
items used does not contribute to the scale Alpha and was thus
dropped; the remaining two items are highly correlated (Pearson’s
correlation=.69, p<.001).
The research utilizes previously used scales for all other
variables, which have satisfactory reliability, with the exception of
Trust (three items drawn from Morgan and Hunt (1994). The
analysts noted the low reliability of Trust (Alpha=.66), but all items
do contribute to the Alpha score so they made a considered
judgment to let the scale remain. Satisfaction, composed of three
items from Ranaweera and Prabhu (2003) has an Alpha of .79.
Loyalty is composed of seven items. Four are Behavioral Loyalty
items from Garbarino and Johnson (1999), and three Attitudinal
Loyalty items from Ganesh, Arnold, and Reynolds (2000). The
Alpha for the composite Loyalty variable is .881. (Initially these
two aspects of loyalty were to stand as separate variables, but their
correlation is too high to allow modeling.)
The researchers validated the scales within the model by
creating two first-order SEM measurement models. The first is for
Co-creation, Satisfaction and Trust, the second for Relationship
Strength and Loyalty. The fit statistics in Table 1 and the parameter
estimates in Table 2 give further confidence to the model variables.
A Maximum Likelihood extraction is used.
ANALYSIS
Initially the analysts used a Maximum Likelihood estimation
method to examine the structural model. The Model’s fit statistics,
however, are very marginal (GFI=.829, AGFI=.762, CMIN/
DF=2.99, RMSEA=1.07). These statistics place the fit at the very
lowest level of acceptance, even for a model using only 177
responses. Further inspection, though, reveals a multivariate kurtosis value of 82.5; a Mardia’s coefficient value in excess of 1.96
indicates a problem with multivariate normality. Even a cursory
consideration of the distributions of the variables in the model
shows that most are severely leptokurtic (possibly due to the use of
a student sample). In this circumstance, enlarging the sample by
bootstrapping is unlikely to remove the bias so an Unweighted least
squares estimation method is used. Although this relatively rarely
used method does not yield a Chi square statistic, it does operate
well regardless of the scales’ non-normality. The consequent fit
statistics are all well within the parameters indicating a well-fitting
model (GFI=.963, AGFI=.949, NFI=.947, CMIN/DF=2.20). The
Model in Figure 2 shows the parameter estimates as standardized
regression weights.
DISCUSSION
Both Satisfaction and Trust mediate the relationship of Cocreation with Relationship Strength. Although the model fit statistics remain satisfactory, the path estimate for a new path directly
370 / Relationship Glue: Customers and Marketers Co-Creating a Purchase Experience
FIGURE 2
SEM Structural Model with Estimates
from Co-creation to Relationship Strength has a negative value.
Similarly, Relationship Strength provides partial mediation for
Satisfaction and Loyalty (a path estimate of only .37) and full
mediation for trust and Loyalty (a negative path estimate).
Implications for theory
Prior research has not reported that either Co-creation or
Relationship Strength have been measured before. The sample used
here was far from ideal and is rather small for structural modeling.
Nevertheless, co-creation does appear to generate both satisfaction
and trust, with the expected increase in relationship strength and
loyalty.
There are many questions left unanswered, of course. There is
a host of possible moderating variables, from product type (credence goods, hedonistic versus utilitarian) and industry type (B2B
versus B2C) to purchase situation (online versus offline)–there is
even a suggestion that co-creation is advantageous in discrete as
well as relational purchase situations. Yet there is great promise
here for a stronger, confirmatory study to show that the co-creation
idea increasingly mooted in the literature does have an empirical
foundation.
Implications for practice
Some businesses are already going down the co-creation path.
It is not yet widely understood by many businesses, though, exactly
what benefits can flow from such a course. Consumer marketing
has become increasingly competitive in recent years. To develop
sustainable competitive advantages marketers require strategies
that are more resilient to imitation than attribute modifications. In
this regard, marketers turned their attention to intangible resource
strategies such as branding and relationship marketing as a means
to ensure long-term competitive advantages (Gronroos 1994).
There is evidence to show that a strong brand is an effective
competitive strategy to develop customer loyalty (Neal, Quester,
and Hawkins 2004).
A second competitive strategy based on intangible resources
is relationship marketing. The basic thrust of this approach is to
develop an on-going relationship with the customer. The benefits of
a positive ongoing relationship are loyalty by way of repeat purchases and positive word of mouth communications for the marketing provider. Relationship marketing can also bring about cost
reductions in running the business and consequently influence the
bottom line of the business.
The consumer behavior environment in recent years has seen
an increasing shift toward the consumption of lifestyle products.
This shift signals a move toward satisfying higher-order needs of
customers. While lower-order needs are still important, these
represent the lower end of the spectrum of customer expectations.
To create customer value businesses need to focus on competitive
advantages that relate to satisfying higher order needs of customers.
Advances in Consumer Research (Volume 35) / 371
APPENDIX 1
Scenarios
Imagine that you have been invited to stay in London with your married, older brother for a two-week holiday. The accommodation
is, of course, free, and the prospect of an early summer holiday very attractive. There seems no problem, as the School has a betweensemester break and your kindly brother has sent some cash toward the tickets.
Quite excited, you try booking your flights on-line, but it proves really hard and, anyway, you don’t have a credit card so it would be
impossible to pay on-line. So, off to the travel agent you go. Your friend has recommended an excellent agent situated in Holland
Village; you have your travel dates all sorted out and ring the agency; John Tan answers and you make an appointment to see him.
When you arrive at the agency, John seems nice enough, and greets you with a smile. After chatting in general about your fabulous
holiday offer, you tell John the days you wish to travel and ask him for the cheapest return ticket. John has no hesitation and states
that Qantas have a flight that morning, priced at a very reasonable $1,506.00. It leaves at 11.00 in the morning and so you don’t have
to arrive at the airport at an uncivilized, early hour. You ask for a window seat and, after checking, John finds seat 34A for you, for
both the outward and return flights. Finally, John assures you that he has noted your requirement for vegetarian food.
You leave the agency feeling very pleased with your purchase.
Additional material in the second version
…John turns to his computer and, a few minutes later, produces a list of four flights leaving that day for London. Of the four airlines,
the cheapest one is leaving at 8.00 in the morning, and another two leave late but get into London very early in the morning indeed.
Qantas have a flight leaving at 11.00 in the morning, so you don’t have to arrive at the airport at an uncivilized, early hour, but it is
slightly more expensive than the less convenient flights. You discuss this with John and decide that the Qantas flight is the best
choice, priced at $1,506.00.
Additional material in the third version
…You ask for a window seat and John brings up the aircraft seating-plan on his console and turns it so you can see. You then discuss
the relative merits of being on the escape hatch row near the kitchen versus another row away from the kitchen and toilets but with
less leg-room. You decide on the escape-hatch row and John secures seat 34A for you, for both the outward and return flights.
In this context, it could be said that enabling good customer
experiences is consistent with the satisfaction of higher-order needs
of customers (Achrol and Kotler 1999; Vargo and Lusch 2004).
Finally, developments in communications technology are
facilitating the adoption of co-creation strategies. For example, the
Internet channel provides scope for greater interaction and an active
involvement of the customer in the marketing process. There is a
range of ways consumers can be involved from the simple act of
finding relevant information to a high level of customer involvement in respect of customized solutions. Internet technology has
also enabled consumers to interact and share information with each
other e.g. customer communities and blogs. This interaction provides a platform for consumers to share experiences and to cocreate customer-to-customer solutions (consumer-to-consumer cocreation). An example of this is customers networking with each
other in a customer community, sharing ideas and solving problems
jointly on a website (Achrol and Kotler 1999). In the context of cocreative marketing strategies, developments in communication
technology add a touch-point for a greater level of involvement and
interaction between customers and the experience network.
REFERENCES
Achrol, R. S. and P. Kotler (1999), “Marketing in the network
economy,” Journal of Marketing, 63 (Special Issue), 146-63.
Bitner, Mary Jo, William T. Faranda, Amy R. Hubbert, and
Valerie A. Zeithaml (1997), “Customer contributions and
roles in service delivery,” International Journal of Service
Industry Management, 8 (3), 193-205.
Calhoun, John (2001), “Driving loyalty by managing the total
customer experience,” Ivey Business Journal, 69 (6), 65-70.
Edvardsson, Bo and Robert Johnston (2005), “Cocreating
customer value through hyperreality in the prepurchase
service experience,” Journal of Service Research, 8 (2), 14961.
Flint, Daniel J (2005), “Innovation and the symbolically
interacting customer: Thoughts stemming from a service
dominant logic of Marketing,” in The Otago ForumAcademic Papers. Dunedin, Otago, New Zealand.
Ganesh, J., M. J. Arnold, and Reynolds K. E. (2000), “Understanding the customer base of service providers: An
examination of the differences between switchers and
stayers,” Journal of Marketing, 64 (July), 65-87.
Garbarino, Ellen and Mark S. Johnson (1999), “The different
roles of satisfaction, trust, and commitment in customer
relationships,” Journal of Marketing, 63 (April), 70-87.
Gronroos, C. (1994), “From Marketing Mix to Relationship
Marketing: Towards a Paradigm Shift in Marketing,” Asia
Australia Marketing Journal, 2 (1), 9-29.
Hausman, Angela (2001), “Variations in Relationship Strength
and its Impact upon Performance and Satisfaction in
Business Relationships,” Journal of Industrial and Business
Marketing, 16 (6/7), 600-16.
Jeppesen, Lars Bo and M. J. Molin (2003), “Consumers as codevelopers: Learning and innovation outside the firm,”
Technology Analysis & Strategic Management, 15 (3), 36383.
372 / Relationship Glue: Customers and Marketers Co-Creating a Purchase Experience
APPENDIX 2
The Research Instrument
Please indicate the extent to which you agree or disagree to the following statements by writing an appropriate number in the box opposite
each statement, where:
Disagree
Agree
1
2
3
4
5
6
strongly
7
strongly
1
I would highly recommend my travel agent to my friends and family………….
2
In our relationship, my travel agent can be counted to do what is right…...……
3
It is risky to change as a new travel agent may not give such good service.........
4
The probability that I will use this service again in future is very high………..
5
I am likely to make positive comments about my travel agent to my friends and
family……………………………………………………………………………
6
Overall, I am pleased with the services offered by my travel agent….................
7
My relationship to this specific travel agent is very strong……...………............
8
In our relationship, my travel agent has high integrity…………………………..
9
As long as the present service continues, I doubt that I would change my travel agent…….
10
The services offered by my travel agent meet my expectations………………....
11
My relationship to this specific travel agent is very important to me……...........
12
In our relationship, my travel agent can be trusted at all times……….…………
13
In the future I intend to use more of the services offered by my travel agent…...
14
I think I did the right thing when I took up the services provided by this travel
agent……………………………………………………………………………..
15
I intend to continue using my travel agency over some time……........................
16
My relationship to this specific travel agent is something I really care about.....
17
If I had to do it over again, I would still engage this travel agency……………..
18
I would feel upset if I terminated my current relationship with my travel agent
19
I would lose a comfortable relationship with my current service provider if I change to another travel
agency…………………………………………………
We are interested in the concept of “ Customer co-creation,” which occurs when a company and their customer work
together to create a (purchase) solution. Now, please consider the passage you read before answering the questions and
answer the few questions below, using the same “ strongly disagree” (1) to “ Strongly agree” (7) scale as before.
20
The company really went out of its way to work with the customer……………
21
The final purchase solution was arrived at mainly through the joint effort of the company and the
customer………………………………………………………
22
I would describe the situation described as a very high level of purchasing
co-creation………………………………………………………………………
Advances in Consumer Research (Volume 35) / 373
Katz, James, E. and Satomi Sugiyama (2005), “Mobile phones as
fashion statements: The co-creation of mobile
communication’s public meaning,” in Mobile Communications: Re-negotiation of the social sphere, Rich Ling and Per
Pederson, Eds. Surrey, U.K.: Springer.
Kellog, Deborah L., William E. Youngdahl, and David E.
Bowen (1997), “On the relationship between customer
participation and satisfaction: two frameworks,” International Journal of Service Industry Management, 8 (3), 20619.
Kotze, T. G. and P. J. du Plessis (2003), “Students as “coproducers” of education: A proposed model of student
socialisation and participation at tertiary institutions,”
Quality Assurance in Education, 11 (4), 186-201.
Lampel, Joseph and Henry Mintzberg (1996), “Customising
customisation,” MIT Sloan Management Review (Fall), 2130.
Lundkvist, Anders and Ali Yaklef (2004), “Customer involvement in new service development: A conversational
approach,” Managing Service Quality, 14 (2/3), 249-57.
Malaviya, P. and S. Spargo (2002), “Relating to customers: how
and when to strengthen your customer relationships.”
Fontainebleau: Insead France.
Mascarenhas, Oswald A, Ram Kesavan, and Michael Bernaccchi
(2004), “Customer value chain involvement for co-creating
customer delight,” Journal of Consumer Marketing, 21 (7),
486-96.
Morgan, R. M. and S. D. Hunt (1994), “The commitment-trust
theory of relationship marketing,” Journal of Marketing, 58
(July), 20-38.
Neal, Cathy, Pascale Quester, and Del Hawkins (2004),
Consumer behaviour-implications for marketing strategy (4
ed.). NSW: McGraw-Hill Australia.
Normann, Richard and Rafael Ramirez (1993), “From value
chain to value constellation: designing interactive strategy,”
Harvard Business Review, Sept/Oct, 65-77.
Ottensen, Geir, Stein Arne Ranes, and Kjell Gronhaug (2005),
“Engaging consumers as co-producers: Some unexplored
issues,” in ANZMAC 2005: Business Interaction, Relationships and Networks, Sharon Purchase (Ed.). Perth, Western
Australia.
Parasuraman, A. and Dhruv Grewal (2000), “Serving customers
and consumers effectively in the Twenty First Century: A
conceptual framework and overview,” Academy of Marketing
Science, 28 (1), 9-16.
Piller, Frank, Petra Schubert, Michael Koch, and Kathrin
Moslein (2005), “Overcoming mass confusion:
Collarborative customer co-design in on-line communities,”
Journal of Computer Mediated Communications, 10 (4),
Article 8.
Poulsson, Susanne H. G. and Sudhir H. Kale (2004), “The
experience economy and commercial experiences,” The
Marketing Review, 4, 267-77.
Prahalad, C .K. and V. Ramaswamy (2000), “Co-opting
customer competence,” Harvard Business Review, 79-87 (1),
79.
Prahalad, C. K. and V. Ramaswamy (2003), “The new frontier of
experience innovation,” MIT Sloan Management Review, 44
(4), 12-18.
Ramaswamy, Venkat (2005), “Co-creating experiences with
customers: New paradigm of value creation,” The TMTC
Journal of Management, 6-14.
Ramirez, R. (1999), “Value co-production: Intellectual origins
and implications for practice and research,” Strategic
Management Journal, 20 (1), 49-65.
Sheth, Jagdish N., Rajendra S. Sisodia, and A. Sharma (2000),
“The antecedents and consequences of customer-centric
marketing,” Academy of Marketing Science, 28 (1), 55-66.
Smith, Shaun (2001), “Experiencing the brand, branding the
experience.” London: Forum Corporation.
Vandenbosch, Mark and Niraj Dawar (2002), “Beyond better
products: Capturing value in customer interactions,” Sloan
Management Review (Summer), 35-42.
Vargo, S. L. and R. F. Lusch (2004), “Evolving to a new
dominant logic for marketing,” Journal of Marketing, 68 (1),
1-17.
Wikstrom, Solveig (1996a), “The customer as co-producer,”
European Journal of Marketing, 30 (4), 6-19.
(1996b), “Value creation by company-customer
interaction,” Journal of Marketing Management, 12, 359-74.