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Citation: Sardanelli, D., Vollero, A., Siano, A. & Bottoni, G. (2019). Lowering the pirate flag:
a TPB study of the factors influencing the intention to pay for movie streaming services. Electronic Commerce Research, doi: 10.1007/s10660-019-09346-7
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Metadata of the article that will be visualized in OnlineFirst
ArticleTitle Article Sub-Title Article CopyRight Journal Name Corresponding Author
Author
Author
Lowering the pirate flag: a TPB study of the factors influencing the intention to pay for movie streaming services
Springer Science+Business Media, LLC, part of Springer Nature (This will be the copyright line in the final PDF)
Electronic Commerce Research
Family Name Particle Given Name Suffix Division Organization Address Phone Fax Email URL ORCID
Vollero
Agostino
Department of Political, Social and Communication Studies University of Salerno Via Giovanni Paolo II, 132, 84084, Fisciano, SA, Italy +39 089 962154
avollero@unisa.it
Family Name Particle Given Name Suffix Division Organization Address Phone Fax Email URL ORCID Family Name Particle Given Name Suffix Division Organization Address Phone Fax Email URL
Sardanelli Domenico Department of Political, Social and Communication Studies University of Salerno Via Giovanni Paolo II, 132, 84084, Fisciano, SA, Italy
Siano Alfonso Department of Political, Social and Communication Studies University of Salerno Via Giovanni Paolo II, 132, 84084, Fisciano, SA, Italy
Author
ORCID Family Name Particle Given Name Suffix Division Organization Address Phone Fax Email URL ORCID
Bottoni
Gianmaria
Department of Sociology City University of London Northampton Square, London, EC1V 0HB, UK
Schedule Abstract
Keywords (separated by '-') Footnote Information
Received
Revised
Accepted
The launch of several movie streaming services has raised new questions about how online consumers deal with both legal and illegal options to obtain their desired products. This paper investigates the factors influencing consumers' intentions to subscribe to online movie streaming services. These services have challenged the dramatic growth in their illegal counterpart in recent years. Taking the theory of planned behavior as a starting point, we extended existing models in the literature by incorporating factors that are specific to consumer behavior in this particular field. A quantitative survey was conducted for the Italian market, and structural equation modeling was used for data analysis. Attitudes, involvement with products, moral judgement and frequency of past behavior were found to be the most important factors in explaining the intention to pay for movie streaming services. The paper provides insights for policy makers and industry managers on the marketing communication strategies needed to minimize the risk of digital piracy.
Streaming services - Subscription intention - Movie industry - Digital piracy - Structural equation modeling
Journal : SmallExtended 10660 Article No : 9346
Pages : 26
Electronic Commerce Research
MS Code : ELEC-D-16-00136
Dispatch : 1-4-2019
Author Proof
1 Lowering the pirate lag: a TPB study of the factors 2 inluencing the intention to pay for movie streaming 3 services
4 Domenico Sardanelli1 ? Agostino Vollero1 ? Alfonso Siano1 ? 5 Gianmaria Bottoni2
6 7 ? Springer Science+Business Media, LLC, part of Springer Nature 2019
8 9 10 11 12 13 14 15 16
Abstract
The launch of several movie streaming services has raised new questions about how
F online consumers deal with both legal and illegal options to obtain their desired
products. This paper investigates the factors inluencing consumers' intentions to
O subscribe to online movie streaming services. These services have challenged the
dramatic growth in their illegal counterpart in recent years. Taking the theory of
O planned behavior as a starting point, we extended existing models in the literature by R incorporating factors that are speciic to consumer behavior in this particular ield. P A quantitative survey was conducted for the Italian market, and structural equation
17 18 19 20 21
22 23
24
25 26 27
A1 A2
modeling was used for data analysis. Attitudes, involvement with products, moral judgement and frequency of past behavior were found to be the most important fac-
D tors in explaining the intention to pay for movie streaming services. The paper proE vides insights for policy makers and industry managers on the marketing communi-
cation strategies needed to minimize the risk of digital piracy.
T Keywords Streaming services ? Subscription intention ? Movie industry ? Digital C piracy ? Structural equation modeling RE 1 Introduction R Digital piracy has been threatening the software, music and movie industries O for decades [15, 81]. Peer-to-peer sharing, illegal downloads and streaming still
represent a convenient alternative to DVDs or subscription-based premium TV
NC * Agostino Vollero Uavollero@unisa.it
A3 1 Department of Political, Social and Communication Studies, University of Salerno, Via
A4
Giovanni Paolo II, 132, 84084 Fisciano, SA, Italy
A5 2 Department of Sociology, City University of London, Northampton Square,
A6
London EC1V 0HB, UK
1 3 Vol.:(0123456789)
Author Proof
Journal : SmallExtended 10660 Article No : 9346
Pages : 26
MS Code : ELEC-D-16-00136
Dispatch : 1-4-2019
D. Sardanelli et al.
28 services. From 2011 to 2015, while ile sharing has remained at the same level,
29 internet video traic has grown by 176% globally [19, 20]. Both video streaming
30 and ile sharing platforms (such as torrent platforms), however, have been primar-
31 ily used to avoid the payment of movies, thus resulting in the infringement of
32 copyrights, as demonstrated in several studies [30, 39].
33 The emergence and popularity of movie streaming services, i.e. an alternative
34 business model in which consumers pay a small fee for the right to temporar-
35 ily access a set of movies (without possessing physical iles on their devices),
36 represents an interesting challenge from both the perspective of consumer behav-
37 ior and e-commerce technology. The global difusion of online providers of on-
38 demand streaming media, such as Netlix, has in fact boosted the legal market and
39 rekindled the business and academic debate around digital piracy and purchasing
40 behavior [14, 18, 47, 82].
41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67
The literature has usually tackled this issue from the side of illegal download-
ing or streaming [69, 88], by focusing only on the factors that inluence this dis-
F honest behavior. In addition, legal sanctions seem to have had little impact on O reducing digital piracy [24, 28, 29, 70]. It is thus more efective to ind alterna-
tive ways to encourage purchases, rather than discouraging the illegal acquisition
O of media products. Extending our knowledge of consumers' shopping activities
on the Web, i.e. subscription-based streaming services, is therefore likely to be a
R more efective way of dealing with digital piracy. P While the literature has highlighted the need to further explore the interac-
tion between legal and counterfeit products [17, 21], there is a marked paucity
D of literature on the intention to pay for streaming media services while taking
into account the availability of illegal alternatives [14, 23]. Such scarcity is likely
E to negatively afect the ability of policy makers and practitioners to change conT sumer attitudes and behaviors toward digital piracy. Poort et al. [70, p. 391] sug-
gest that policy makers and industry managers should focus "on removing any
C legal or practical obstacles for comprehensive and attractive legal online models E [...]. Researchers could support this by studying the dynamics between the ade-
quacy of legal supply and ile sharing".
R This paper thus examines the determinants of consumer intentions to pay for
online movie streaming services in the context of the multiple alternatives avail-
R able online, both legal and illegal. In fact, purchasing such services can be seen O as a kind of ethical behavior [16, 72]. In other words, the willingness to pay for
these services is deemed to be in opposition to the illegal acquisition, namely the
C downloading or streaming of pirated iles, rather than to not purchasing. Recent
studies seem to conirm that once an individual is willing to enjoy music or mov-
N ies on the Internet, they have two main alternatives: to buy or to steal [82]. These Utwo options are not totally mutually exclusive and can overlap, even in terms of
68 the same speciic consumption decision: one could decide irst to get a pirated
69 movie and then to pay for it on the Internet; however the opposite is rarely consid-
70 ered. Although these actions can coexist, they represent two possible outcomes of
71 a particular consumption decision, and they are not independent of each other at
72 all. This study is thus grounded in behavioral models and examines the intention
1 3
Journal : SmallExtended 10660 Article No : 9346
Pages : 26
MS Code : ELEC-D-16-00136
Lowering the pirate lag: a TPB study of the factors inluencing...
Dispatch : 1-4-2019
Author Proof
73 of online subscription to movie streaming services in the context of two opposing
74 alternative behaviors that can also occur simultaneously.
75 Using the theory of planned behavior [1], this paper examines concurrently the
76 attitudes, the impact of the social acceptance of unauthorized copying of movies
77 and the inluence of familiarity with online shopping (interpreted as past behavior)
78 on the intention to pay for online streaming services. However, this standard model
79 has been extended considering the speciic nature of the investigated behavior--that
80 is the online purchase of digital entertainment products. Thus, we consider both the
81 involvement with the product and the interference of the illegal shortcut to get these
82 same products for free (i.e. moral judgement on digital piracy).
83 The structure of the paper is as follows. Section 2 explains the conceptual frame-
84 work and Sect. 3 presents the associated research hypotheses. In Sect. 4 we discuss
85 86 87
88
89 90
the methodological choices and report on the analytical procedures used. We then provide the main research indings (Sect. 5) and lastly, we discuss the implications
F of our indings (Sect. 6) and provide future research directions (Sect. 7). O 2 Conceptual background RO Online consumer behavior has traditionally been approached from a social psycholP ogy perspective. Generally, an individual's decision to engage in a speciic behav-
91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109
ior (e.g. subscribing to a streaming service) is often determined by an individual's
evaluation (i.e. attitude) of how that behaviour is likely to afect her/him. An attitude
D is a person's tendency to evaluate a certain object with some degree of favor?disfaE vor [9, 31] and as such, it can have both a cognitive (e.g. good?bad evaluation) and
afective nature (e.g. reactions relecting enduring happy?sad or pleasant?unpleasant
T afective states toward an object). Thus, in order to understand consumer subscrip-
tion behavior in relation to a legal online streaming service and go beyond its ran-
C dom components, it is essential to consider peoples' attitudes. However, over the E years, several researchers have pointed out that attitudes alone are not suicient to
explain and predict why people act in a certain way: speciic attitudes can be truly
R predictive only when they refer to spontaneous behaviors [3, 38], when people act
on the spur of the moment.
R The theory of reasoned action (TRA) [2], and its extension, the theory of planned O behavior (TPB) [1] account for deliberate behaviors and specify further systematic
determinants beyond attitudes. TRA and TPB are well-established models used to
C study behavior in online settings [55, 61]. TRA takes into account attitudes and sub-
jective norms as the fundamental predictors of intention to perform a certain behav-
N ior. In addition, TPB also considers perceived behavioral control as an antecedent of Ubehavioral intention. Speciically, subjective norms indicate the agreement of a ref-
110 erence group with a certain behavior, and the perceived behavioral control includes
111 the conidence (based on availability of resources or lack of opportunities) of an
112 individual in her/his abilities to perform that behavior [1].
113 As reported in George [36], there is a long tradition of TPB application both in
114 information systems and in Internet purchasing studies. In the last decade, the TPB
115 model has been successfully adopted (in its original form or in a modiied version)
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