The immorality of illegal downloading: The role of anticipated guilt and general emotions

Wang, Xiao; McClung, Steven

doi:10.1016/j.chb.2011.08.021

Cited by 42 publications

(21 citation statements)

References 25 publications

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“…They also found that 50.7 % of their sample experienced feelings of guilt, a similar proportion to that found by Hinduja (2003) with regard to softlifting (i.e., pirating software). In contrast, Higgins et al (2005) did not find a significant relationship between guilt and intention to pirate, and Wang and McClung (2012) reported that anticipated guilt predicted intentions only for frequent downloaders, not for sporadic ones or non-downloaders. Due to these contrasting findings and the regulating properties of guilt with regard to unethical behavior Pogarsky 2003, 2004), we expect to find a differentiation in the experience of guilt with respect to digital piracy.…”

Section: Guiltmentioning

confidence: 78%

One Sail Fits All? A Psychographic Segmentation of Digital Pirates

Corte

Kenhove

2015

J Bus Ethics

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This paper focuses on segmenting digital movie and TV series pirates and on investigating the effectiveness of piracy-combatting measures i.e., legal and educational strategies, in light of these segments. To address these research objectives, two online studies were conducted. First, 1277 valid responses were gathered with an online survey. Four pirate segments were found based on differing combinations of attitude toward piracy, ethical evaluation of piracy and feelings of guilt. The anti-pirate, conflicted pirate, cavalier pirate, and die-hard pirate can be placed on a continuum of increasing pirating frequency, subjective norm, pirating self-efficacy, habit, and decreasing in perceived harm, respectively. The segments also differ in deontological and teleological orientations. Second, in an experimental mixed design, we find that the educational strategy is more effective than the legal strategy in lowering pirating intentions for the conflicted and cavalier pirate. However, both strategies fail at lowering intentions of the die-hard pirate, although perceived harm and perceived impunity were significantly influenced. These findings offer a more profound understanding of pirate segments and how they react differently to piracy-combatting measures. As a result, better strategies can be developed to control digital piracy.

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Section: Guiltmentioning

confidence: 78%

One Sail Fits All? A Psychographic Segmentation of Digital Pirates

Corte

Kenhove

2015

J Bus Ethics

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“…Moreover, we considered the aforementioned research context (Al‐Rafee and Cronan, ; Coyle et al, ; Malin and Fowers, ; Dilmperi et al, ; Wang and McClung, ; Jambon and Smetana, ; Koklic et al, ). The research structure comprised six variables: demographic variables, information technology adoption, intensity of pop music consumption, value of pop music, availability of pop music, sociality, and law enforcement strength.…”

Section: Methodsmentioning

confidence: 99%

“…More than 70 per cent of the university students who were younger, had low income, and preferred mainstream pop music and electronic music would download music illegally. Moreover, Wang and McClung () conducted an extension study on illegal downloading based on cognition. They performed an online investigation on 547 university students from different grades in two universities in the USA; 63 per cent of the participants were female, the average age was 20.8 years, 80.3 per cent of them were White, and 66.3 per cent of them completed the questionnaires online, out of the campus.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The results confirmed that college students were more inclined to download music illegally when they developed a more egoistic attitude, had greater social identity, and perceived that they had higher control ability over illegal downloading. Moreover, Wang and McClung () revealed that, in general, college students' expected sense of guilt was low, particularly those who had engaged in illegal downloading within the past year. Expected sense of guilt had a negative predictive effect on the behavioral intention of illegal downloading.…”

Section: Literature Reviewmentioning

confidence: 99%

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Illegal downloading of pop music among university students in Taiwan: An agent‐based model simulation

Pai

Chie

2017

J of Consumer Behaviour

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The lifestyle and consumption patterns of the current mobile generation (m‐generation), born after the Internet gained popularity, have changed dramatically. This study investigated university students' consumption attitude toward pop music and their behavior of illegally downloading such music by considering different law enforcement environments. In the first stage of our study, we designed and administered a questionnaire survey and collected 424 responses. The valid sample size was 394. On the basis of the sample, we developed a behavioral model that could be customized according to individual observation. In the second stage, we developed an agent‐based model for performing a simulation. This study divided law enforcement environments into combinations of the probability of being arrested engaging in illegal downloading behavior and the financial penalty after being caught. The results revealed that in an environment where the strength of law enforcement is increased, the agents' willingness to illegally download music in the model decreases. This empirical study highlighted that the deterrent effects in both the real world and simulated model were more sensitive to the probability of being caught primarily because of illegal downloading behavior. Therefore, the study suggests that for the m‐generation of the post‐Internet age, the most feasible approach to achieving instant results is through effective and certain law enforcement, which can effectively reduce the copyright infringement in the pop music industry caused by illegal downloading. Copyright © 2017 John Wiley & Sons, Ltd.

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“…Others have relied on the theory of reasoned action and planned behavior and showed that all three core components of the modelattitudes, perceived behavioral control, and social norms -are relevant and provide a basis to explore a wide range of specific motivating factors related to digital piracy 10,32,46,47,48,49,50 . For example, research has demonstrated that Machiavellianism 47 , antipathy towards music industry 32,51 , high costs and low benefits 46 , self-efficacy 50 , anticipated guilt 52 , and idolatry 53 influence attitudes towards digital piracy.…”

Section: Psychological and Social Perspectivementioning

confidence: 99%

An Exploration of Essential Factors That Influence Music Streaming Adoption and the Intention to Engage in Digital Piracy

Hampton-Sosa

2017

ijecs

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Preventing unauthorized downloading and other forms of digital piracy has been a persistent challenge for many who own the rights to digital content. Attempts to counter digital piracy with strategies based on deterrence, ethical arguments, psychosocial considerations, or technical measures have been effective, but only to a limited extent. The increasing popularity of music streaming systems, however, offers additional opportunities to experiment with novel business models and value propositions that may discourage digital piracy. The results of this quasi experiment involving 139 subjects indicated that for music streaming systems, perceived system and information quality, perceived usefulness, perceived ease of use, and perceived enjoyment contributed to purchasing intention. These factors also influenced unauthorized downloading intention; however, an expected negative relationship between perceived enjoyment of the music streaming system and unauthorized downloading intention, a form of digital piracy, was not supported.

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The immorality of illegal downloading: The role of anticipated guilt and general emotions

Cited by 42 publications

References 25 publications

One Sail Fits All? A Psychographic Segmentation of Digital Pirates

One Sail Fits All? A Psychographic Segmentation of Digital Pirates

Illegal downloading of pop music among university students in Taiwan: An agent‐based model simulation

An Exploration of Essential Factors That Influence Music Streaming Adoption and the Intention to Engage in Digital Piracy

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