Ramp Up and Ramp Down Dynamics in Digital Services

Date01 July 2019
DOIhttp://doi.org/10.1111/jscm.12189
Published date01 July 2019
RAMP UP AND RAMP DOWN DYNAMICS IN DIGITAL
SERVICES
HENK AKKERMANS
Tilburg University
CHRIS VOSS
The University of Warwick
ROELAND VAN OERS
Tilburg University
Volume ramp ups are notoriously difficult in digital services, where mar-
ket pressures can lead to ramping up too soon and too rapidly which in
turn can lead to the need to ramp down. This paper addresses the chal-
lenge of taking innovation to scale in an established firm by enhancing
our understanding of the nature of service ramp ups and ramp downs.
Digital service ramp ups differ substantially from production ramp ups as
the speed is much greater, and problems are visible to customers. How-
ever there are similarities between service ramp downs and product recalls
and an important contribution is exploring the nature of ramp downs
their processes and possible causes. Using an engaged research approach,
longitudinal data from three consecutive ramp ups in a European telecom
operator were collected. Through analyses of cases, qualitative and quanti-
tative case data, and using a system dynamics model, we identified a set
of issues that affect service ramp ups and ramp downs. These include the
need to ramp up the service supply chain, biases leading to unrealistic
assumptions about scalability and problem-solving, decision biases in var-
ious functions, launching digital services in beta form, a lack of trans-
parency of capacity and lack of learning from previous ramp ups. We
show that if these problems are not addressed or resolution is delayed,
this can lead to cycles of delay, backlogs and productivity problems and
the inevitability of a ramp down. We explore reasons and importance for
such delays that lead to service ramp downs.
Keywords: service supply chains; ramp ups; ramp downs; recalls; system dynamics;
clinical methods; engaged research
INTRODUCTION
Nobody has been as fast as we intend to be. (Ramp
up manager)
Markets are pressuring companies to develop new
services quickly and to get them to market as soon as
possible, leading to pressure for rapid deployment
and ramp ups. Such pressure has increased with the
growing digitalization of service sectors such as bank-
ing, insurance, and media (McKinsey & Co., 2015).
Ramp ups of such services usually require a significant
commitment of resources, which may cause problems
if the available resources do not match the demand
growth or if they are diverted from other services and
involve ramping up the whole service supply chain.
Acknowledgments: The authors would like to thank those
associated with ETEL over the period of this research, in
particular Annelore Buijs, Eric Kuisch, and Willem van Oppen,
for their support and invaluable insights.
The copyright line for this article was changed on March 11,
2019 after original online publication.
July 2019
3
Journal of Supply Chain Management
2019, 55(3), 3–23
©2019 Wiley Periodicals, Inc.
One of the top five reasons for new product and ser-
vice failures is organizations failing to manage the ramp
up (Schneider & Hall, 2011). Problems during ramp up
can lead to difficulties in meeting time-to-market targets
and may negatively influence service outcomes. For
example, following an SAP rollout by an energy provi-
der in 2011, many of the company’s 5.4 million cus-
tomers experienced issues, such as billing delays as
account details were transferred to the SAP platform. A
resulting backlog of complaints created longer call-wait-
ing times. The UK energy regulator highlighted a seri-
ous deterioration in service levels (Finnegan, 2013),
prompting a public apology from the CEO. A public
sector example is the rollout of the US Affordable Care
Act (Obamacare). In 2013, former Secretary of Health
and Human Services, Kathleen Sebelius, said that the
administration’s original predictions about its timetable
were “flat-out wrong.” She remarked, “Could we have
used more time and testing? You bet” (Alter, 2014).
This created problems for both the potential users and
the government. Negative publicity around repeated
problems with new service and system ramp ups is not
uncommon, with numerous examples of rapid ramp
ups and a pattern of initial rapid rollouts followed by
ramp downsa slowdown or complete halt.
There is extensive literature on the need for product
and service innovation, such as new service develop-
ment (NSD) and the processes involved (Menor, Tati-
konda & Sampson, 2002). However, this literature is
virtually silent on the challenge of taking innovation
to scale. In this paper, we focus on this challenge in
service firms, specifically in the context of digital ser-
vices. The effectiveness of ramp ups can be an impor-
tant factor in competitiveness. The competitive
advantage gained from knowledge-based assets, such
as new services, depends in part on exploiting them
effectively via rapid and effective ramp up and doing
so consistently better than one’s competitors. Thus, it
is important for managers in service organizations to
understand the issues, key decisions, and trade-offs
associated with ramp ups and how any problems can
be mitigated during the ramp up process. Equally, at a
theoretical level, we need to develop a better under-
standing of the nature of service ramp ups. Research
into digital service supply chains has shown how
unforeseen problems can lead to the phenomenon of
fallout (Akkermans & Vos, 2003). Scalability is an
important aspect of service ramp ups, both the nature
of the service and management assumptions affect it
(Boyer, Hallowell & Roth, 2001; Hallowell, 2001).
The research in this paper set out to explore ramp
ups in the context of digital services. As the research
progressed, we observed problematic ramp ups lead-
ing to ramp downs and extended the scope of the
research to address this. There is a growing body of
ramp up research in manufacturing (Heine, Beaujean
& Schmitt, 2016; Terweisch, Bohn & Chew, 2001)
and the supply chain (Li, Shia, Gregory & Tan, 2014).
We contend that the context of services, in particular
digital services, can differ substantially from products
during ramp ups. We put forward and explore three
areas of difference. First, service ramp ups take place
in the field, and as production and consumption are
simultaneous, they may manifest themselves directly
to the customer in setup or use. Second, in services,
especially digital services, ramp ups can be much stee-
per. Finally, there can be pressures to ramp up the ser-
vice before it is fully developed. In addition to
differences, there are commonalities between product
and service ramp ups, especially in that both require
ramping up the supply chain resources and capacities.
Ramp downs have not been studied, though product
recall, which has similar characteristics, is an area of
increasing concern to supply chain managers and
researchers (Wowak & Boone, 2015). The objective of
this paper is to explore ramp ups and ramp downs in
the context of digital services, which we address
through longitudinal field research in three digital ser-
vices in a medium-sized European telecom company.
This paper contributes to knowledge on the chal-
lenge of taking innovation to scale in an established
firm by enhancing our understanding of the nature of
service ramp ups, ramp downs, and associated issues.
A distinctive contribution of this research is identify-
ing the importance and the nature of the ramp down
stage and associated decisions and issues.
LITERATURE REVIEW
Service and Product Ramp ups
A service ramp up is the process of rapidly increas-
ing the delivery of a service to meet demand. The
terms “deployment,” “launch,” and “rollout” are fre-
quently used to describe the same activities. Existing
knowledge on ramp ups is primarily based on prod-
ucts, “the notion of ramp ups has never been used in
the case of services” (Lenfle & Midler, 2009, p. 158).
There are a range of factors that potentially affect pro-
duct ramp up success, including product complexity
and scope, project management, quality of the manu-
facturing process (Clark & Fujimoto, 1991), learning
prior to and during ramp up (Pisano, 1996), and run-
ning pilot production and full-scale ramp up in paral-
lel (Terweisch et al., 2001). The dynamic context of
ramp ups means that many decisions must be made
quickly. The ability to act is influenced by high levels
of multidisciplinarity, with decision makers from dif-
ferent fields such as production, logistics, or planning.
Their actions may interact, creating interdependencies
(R
ossler, 2016). This complexity of ramp ups can lead
to a low degree of transparency, complicating the
decision-making process (Brauner et al., 2016).
Volume 55, Number 3
Journal of Supply Chain Management
4

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