Understanding the Intention to Use Commercial Bike-Sharing Systems: an Integration of TAM and TPB

Understanding the Intention to Use Commercial Bike-Sharing Systems: an Integration of TAM and TPB

Proceedings of the 51st Hawaii International Conference on System Sciences j 2018 Understanding the Intention to Use Commercial Bike-sharing Systems: An Integration of TAM and TPB Ying Yu Wenjie Yi Yuanyue Feng College of Management College of Management College of Management Shenzhen University Shenzhen University Shenzhen University [email protected] [email protected] [email protected] Jia Liu College of Management Shenzhen University [email protected] Abstract economy (i.e., collaborative finance, peer-to-peer accommodation, peer-to-peer transportation, on- Commercial bike-sharing system is growing demand household services, on-demand professional rapidly as a critical form of the sharing economy. services) could generate a revenue of $335 billion Although past research has discussed the design and worldwide by 2025 [40]. It is noted that the surge of operation of commercial bike-sharing systems, there sharing economy is related to the pursuit of better have been few studies examining the factors value distribution of the supply chain [35], reduction motivating the use of such systems. This study of ecological impacts [57], technology advancement integrates the technology acceptance model (TAM) and finally, users’ changing attitudes towards product and the theory of planned behavior (TPB) to develop ownership and their desire for social connections [12]. a holistic model to explain the intention to use The sharing economy manifests in various forms, commercial bike-sharing systems. The PLS-SEM such as peer-to-peer (or P2P) rental market, results from a survey with 286 users reveal that the accommodation sharing, and the vehicle sharing [40]. intention to use commercial bike-sharing systems is A prominent business model of the sharing economy, positively affected by perceived usefulness of the the commercial bike-sharing systems, has emerged in system, attitude toward bike-sharing and perceived recent years as a popular way of public transportation behavioral control. Further, we find that attitude [18]. For the society, commercial bike-sharing toward the bike-sharing is positively affected by system meets the theme of sustainable development perceived usefulness and perceived ease of use of the because of convenience, lower prices, and system. Beyond our expectation, subjective norm has environmental protection [24, 29]. Consequently, no significant effect on the intention to use. many commercial bike-sharing systems are being Implications and directions for future research are established to satisfy the need. One example of also discussed. commercial bike-sharing system is the CitiBikes, where there are more than 85,000 active users [57]. Keywords: Commercial bike-sharing system; Another example is OFO, a large commercial bike- Intention to use; Technology acceptance model; sharing system in China. In OFO, there are on Theory of planned behavior average 4.4 million active users per day [1]. Past research has noted that the adoption of the bike-sharing systems is crucial for the sustainability of the bike-sharing companies [39]. However, 1. Introduction research has been primarily devoted to the design and operation of the commercial bike-sharing systems [15, Rather than buying their favorite products or 56]. There is little research examining individual’s services, nowadays individuals tend to pay to intention to use such systems. Without a clear temporarily access or share them, which is called the understanding of the drivers for the system usage, “sharing economy” [50]. PricewaterhouseCoopers companies are difficult to attract enough users and has foreseen that five main sectors of sharing will lose in the market competition. URI: http://hdl.handle.net/10125/49969 Page 646 ISBN: 978-0-9981331-1-9 (CC BY-NC-ND 4.0) Within the limited studies of the intention to use However, past literature on commercial bike- bike-sharing systems, some researchers borrowed the sharing systems has largely dwelled on topics such as technology acceptance model (TAM) [25] to examine the design and operation of the commercial bike- the effects of two system features (i.e., perceived sharing systems [15, 56], as well as obstacles for the usefulness (PU) and perceived ease of use (PEOU)) sustainability of the system, such as theft and on users’ adoption of bike-sharing systems [41, 49]. sabotage [2], static rebalancing or repositioning Apart from that, other scholars adopted the theory of problem [15, 56]. There have been a limited number planned behavior (TPB) [5] to examine the influence of studies trying to examine the motivators for the of users’ attitude, subjective norms and perceived usage of such systems. For instance, [13] suggested behavioral control on their intention to use bike- that people who use the bike-sharing systems hold sharing systems [46]. Past research has suggested that the beliefs that the sharing of bikes makes them more neither TAM nor TPB alone is able to provide convenient to complete a short-distance travel inside consistently superior explanations or behavioral the city, and help reduce traffic congestion as well as predication [16]. Although TAM has incorporated the environmental pollution. Similarly, [9] suggested that two individual perceptions of system users, it has not convenience and the desire to avoid theft of private accounted for the social influence in the users’ bikes are the key motivators for the system use. adoption of new technology [19]. In the context of Moreover, [59] suggested that mechanisms such as commercial bike-sharing systems, users might not adding stations and real-time bikes, improving bike only be motivated to use the system by their maintenance and locking mechanisms, are needed to perceptions of the values and efforts associated with foster the use of bike-sharing service. As a synthesis, the use, but also being prompted by the desire for [31] argued that people are willing to use sharing social connections with their peers [51]. Therefore, bikes as there is no need to consider the either TAM or TPB alone is unable to provide a responsibilities and costs associated with owning a complete picture for understanding the users’ private bike. However, research on the antecedents intention to use bike-sharing systems. In view of that, for the use of bike-sharing systems remains rare and we purposefully integrate the TAM and TPB to scattered, partly because the bike-sharing system is explore and examine the antecedents of commercial still at its early development stage [64]. bike-sharing system usage. We review prior literature to identify critical psychological factors and other 2.2. Technology acceptance model (TAM) and context related literatures to theorize specific theory of planned behavior (TPB) relationships among the model constructs. In the information systems discipline, the 2. Literature review intention to use different kinds of information systems has been regarded as one of the most important research topics. Two theoretical lenses (i.e., 2.1.Intention to use commercial bike-sharing TAM and TPB) rooted from the classical theory of system reasoned action (TRA) [34] in the social psychology domain are frequently adopted to examine the Commercial bike-sharing system is a new form of intention to use different information systems. the sharing economy. It is a network of bicycles that The TAM model, first introduced by [25], tries to are provided in subway stations, bus stops, campus, explain why individuals choose to use or not to use residential areas, commercial areas and public service specific techniques by the “Perceived Usefulness” areas [28]. According to [47], sharing bikes which do (PU) and “Perceived Ease of Use” (PEOU). not belong to any individual will set aside whether Information systems scholars have relied on the TAM use in a region for short-term communal. For the to understand individual’s intention to use a variety system users, commercial bike-sharing systems of information systems, such as online games [44], enable them to use a healthy, enjoyable, and online learning [3, 22], and social media [55]. relatively inexpensive door-to-door transport mode. Recently, the TAM has also been adopted to examine More importantly, for the companies operating such the intention to use bike-sharing systems. For systems, a large number of active users could example, [49] adopted an extended technology generate supreme market revenues for them. acceptance model (TAM) and found that customer’s Therefore, the frequent use of commercial bike- attitude toward the smart bike-sharing systems and sharing systems by a large amount of individuals is perceived usefulness positively affect their use also crucial for the sustainability of such business intention. [41] also discovered that perceived quality model [39]. (perceived usefulness) and perceived convenience Page 647 (perceived ease of use) foster the adoption of public 3.2. Hypotheses development bicycle sharing systems through perceived value. Apart from TAM, the theory of planned behavior 3.2.1 Hypotheses about TAM. (TPB) suggests that individuals’ technology adoption intention is jointly determined by their attitudes, The first factor in TAM is perceived usefulness subjective norms and perceived behavior control. (PU), which is defined as the degree to which a Similar to the TAM, the TPB has also been adopted person believes that the use of a particular system or to study the intention to use a variety of information technology will improve the performance of a systems [5, 6, 20]. In the area of bike-sharing, TPB particular activity [10, 25]. It has been found in a has been adopted as well. For instance, [61] based on study of bike-sharing system of a university campus TPB to indicate that cycling intentions are related to that the bike-sharing program can help eliminate the positive cycling experience, willingness to accept car need for additional parking, greenhouse emissions restrictions, and negative attitudes towards cars. [46] and traffic congestion, thereby helping reduce applied the TPB and found that the tourists’ intention resource consumption and nurture a greener to use sharing bikes for holiday cycling is positively environment in campus [8].

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