Article

The effects of digital platform expectations, information schema congruity and behavioural factors on mobility as a service (MaaS) adoption

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Abstract

Purpose Mobility as a service (MaaS) is a new model of bundling personal transport options from multiple providers to provide frictionless service. The model integrates information and service to enable users to search, book and pay through a single digital platform. The aim of MaaS is to minimize individual car ownership and revolutionize personal mobility habits in favour of sustainable modes. Thus, it is important to understand consumers' readiness for MaaS. This study explains the factors that influence MaaS adoption. Design/methodology/approach A comprehensive review of the related literature has been conducted, leading to the development of a conceptual model for investigating the key factors that influence MaaS adoption. The model draws upon the digital platform, schema congruity and planned behaviour theories. The model is then tested using structural equation modelling and survey data collected from 331 respondents. Findings The findings indicate that MaaS information schema congruity, the digital platform's personalizability, customizability, functional integration, network integration and governance of data together with attitude towards MaaS and subjective norm concerning MaaS influence MaaS adoption. Furthermore, MaaS digital platform expectation and MaaS information schema congruity contribute to users' attitude towards MaaS use. Originality/value The paper highlights the design and informational attributes of MaaS platforms that influence their adoption and contributes an integrated research model that links digital platform characteristics, behavioural factors and information schema congruity. Future research can use the constructs and measures we developed in this study to build deeper understanding of what contributes to the success of digital platforms.

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--- Open Access http://www.cogitatiopress.com/urbanplanning/article/view/931 --- Mobility as a Service (MaaS) is a recent innovative transport concept, anticipated to induce significant changes in the current transport practices. However, there is ambiguity surrounding the concept; it is uncertain what are the core characteristics of MaaS and in which way they can be addressed. Further, there is a lack of an assessment framework to classify their unique characteristics in a systematic manner, even though several MaaS schemes have been implemented around the world. In this study, we define this set of attributes through a literature review, which is then used to describe selected MaaS schemes and existing applications. We also examine the potential implications of the identified core characteristics of the service on the following three areas of transport practices: travel demand modelling, a supply-side analysis, and designing business model. Finally, we propose the necessary enhancements needed to deliver such an innovative service like MaaS, by establishing the state of art in those fields.
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As digital platforms are transforming almost every industry today, they are slowly finding their way into the mainstream information systems (ISs) literature. Digital platforms are a challenging research object because of their distributed nature and intertwinement with institutions, markets and technologies. New research challenges arise as a result of the exponentially growing scale of platform innovation, the increasing complexity of platform architectures and the spread of digital platforms to many different industries. This paper develops a research agenda for digital platforms research in IS. We recommend researchers seek to (1) advance conceptual clarity by providing clear definitions that specify the unit of analysis, degree of digitality and the sociotechnical nature of digital platforms; (2) define the proper scoping of digital platform concepts by studying platforms on different architectural levels and in different industry settings; and (3) advance methodological rigour by employing embedded case studies, longitudinal studies, design research, data-driven modelling and visualisation techniques. Considering current developments in the business domain, we suggest six questions for further research: (1) Are platforms here to stay? (2) How should platforms be designed? (3) How do digital platforms transform industries? (4) How can data-driven approaches inform digital platforms research? (5) How should researchers develop theory for digital platforms? and (6) How do digital platforms affect everyday life?
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Based on digital transformation processes, public mobility is experiencing tremendous and far-reaching change. The use of information and communication technology (ICT) enables disruptive mobility solutions that have recently became known as mobility as a service (MaaS). MaaS promises great economic potential and supports the idea of a more efficient allocation of transport resources. However, the main motivational mechanisms behind travelers’ adoption intention are still unknown. This research identifies key motivational determinants and investigates their structural interrelations. Based on a literature review we first identify the fundamental characteristics of MaaS. Building on this common understanding, we conduct qualitative in-depth interviews with potential end-users to explore motivational acceptance factors. We draw from our inductive findings to postulate a structural causal equation model that captures motivational mechanisms behind the intention to adopt MaaS. Finally, the model will be quantitatively validated based on a comprehensive survey and the use of partial least squares (PLS) analysis. We show that psychological needs play a crucial role in the acceptance of MaaS. The results demonstrate that anticipated advantages of autonomy, competence and the feeling of being related to a social peer group affect hedonic motivation and the expected usefulness of MaaS offerings, which equally affect behavioral intention. We also introduce a novel theoretical construct and show that – in the present disruptive context – cognitive congruency between existing habit schemata and anticipated MaaS usage patterns significantly affect the judgment process and behavioral intention. Finally, important implications for market strategy, product development and policy measures will be discussed.
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The purpose of this paper is to shed light on the concept of MaaS and what characterises a ‘MaaS service’, as well as to propose a topology of MaaS as a tool for facilitating the discussion of MaaS, enabling the ‘comparison of’ different services, understanding MaaS' potential effects, and aiding the integration of societal goals into MaaS services. Based on an exploration of existing definitions and descriptions of MaaS, and an expert workshop identifying key aspects and ascertaining service differentiations accordingly, the resulting proposed topology consists of MaaS Levels 0 to 4 as characterised by different types of integration: 0 no integration; 1 integration of information; 2 integration of booking and payment; 3 integration of the service offer, including contracts and responsibilities; 4 integration of societal goals. The levels are then described in terms of their added value and further discussed regarding implications for society, business, users/customers, and technical requirements. Then, a deeper discussion also delves into the potential in expanding upon Level 4 and ways by which services and societal goals can become more fully integrated. The proposed topology adds clarity to the discussion of such a trending topic and enables the positioning of services along the MaaS spectrum. It also deepens the understanding of why MaaS can take time to establish, and can help support the development of action plans in terms of what needs to be done depending on what type of MaaS one wants to develop. Further analysis is desirable regarding the possibilities and problems linked with the different levels of MaaS. Such an analysis is key to understanding which effects can be achieved via the implementation of different levels of MaaS services in terms of e.g. social, economic and ecological sustainability, and business potential.
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Mobility as a Service (MaaS) is a relatively recent mobility concept, which has the potential to contribute to a more sustainable transport system. The starting point for its success is to acquire a deeper understanding of the key actors’ motives, expectations, perceptions and concerns. To this end, this paper applies a mixed-methods approach, using qualitative and quantitative research to collect and analyze data from key MaaS-related stakeholders and end-users. In particular, workshops with stakeholders and focus groups with end-users were conducted in two European metropolitan areas, Budapest in Hungary and Greater Manchester in the United Kingdom. In addition, an on-line questionnaire survey was launched to collect quantitative data from end-users. Stakeholders’ and end-users’ perspectives on different MaaS-related aspects are collected and analyzed. Our analysis indicates that stakeholders are highly motivated to join a MaaS partnership for receiving better quality demand data and increasing their market shares and revenues. In addition, lack of data and Application Programming Interfaces (APIs) was identified as a significant operational/technical barrier, while the strong reliance of people on their private vehicles was indicated as the strongest social barrier. A qualitative cluster analysis was conducted revealing significant variations in the stakeholders’ viewpoints depending on the business domain they represented. The findings of this paper provide useful insights for the decision-making processes of policy makers, local authorities, transport operators and other MaaS actors, helping them to make informed decisions when implementing MaaS schemes in their cities.
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Business environments today are characterized as being very dynamic and hyper competitive. Organizations in these environments have to be agile in order to adapt their strategies and actions to be successful. While it is recognized that information technology can enable firms to be agile, there is a limited understanding of the mechanisms through and the contexts in which Information Technology (IT) enhances agility. This study examines two key antecedents of organizational agility, namely the IT competence of a firm and its innovation capacity and, examine their independent and joint effects on agility. We test our model using data collected from large firms in the US. The results provide strong support for our model. We found that firms with superior IS capabilities coupled with an aggressive IT investment orientation create digital platforms that enable them to be agile. We also found that the innovation capacity of the firm has a positive relationship with organizational agility and that firms with higher innovation capacity are better able to leverage their digital platforms to enhance agility. Our results indicate that organizational agility has a strong positive impact of firm performance. We interpret and discuss these results and their theoretical and practical implications.
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The theory of planned behaviour (TPB) has been used to analyse a range of travel behaviours including car use, bicycle helmet use and the switching of travel modes. The prototype/willingness model (PWM) has been used to predict adolescent behaviour in relation to risky behaviour such as smoking and drinking. This study uses both these models to predict intention to cycle to school and aims to determine the contribution of variables from the prototype/willingness model after variables of the theory of planned behaviour have been taken into account. A further purpose of this study is to determine which variables have the greatest influence over whether or not adolescents cycle to school. In addition, the study considers whether differences exist between males and females. This research uses the results of surveys of 331 students at seven secondary schools in Christchurch, New Zealand. Regression analysis showed prototype, and descriptive norms, from the prototype/willingness model did little to enhance the predictive validity of the theory of planned behaviour in relation to cycling to school. It also showed perceived social pressure by friends (subjective norm-friends) had the greatest influence over whether or not students intended to cycle to school, closely followed by perceived social pressure by parents (subjective norm-parents) and subsequently what students believe and their overall evaluation of cycling to school (attitudes). It is concluded there is little difference between the TPB and PWM variables that influence girls and boys, and that more adolescents will cycle to school if changes to societal attitudes and norms occur in favour of cycling. This will only be achieved through change at multiple levels, targeting individuals, social environments, physical environments, and policies.
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The concept of Mobility as a Service or MaaS has been proposed as feasible way to achieve more sustainable transport. One example of such a service is UbiGo, a broker service for everyday urban travel developed and evaluated within the Go:Smart project in Gothenburg, Sweden. This paper presents evidence of travel behavior and related changes from a six-month field operational test (FOT), during which 195 participants tested the new service. Based on participant questionnaires, interviews, and travel diaries, change-enabling service attributes are identified, including the ‘transportation smorgasbord’ concept, simplicity, improved access and flexibility, and economy. Although not a service attribute per se, the FOT also enabled the trialability of new behaviors and a reevaluation of convenience. Additionally, the broader implications of the FOT findings on understanding travelers’ new choices and behaviors are discussed in terms of the future design of MaaS. Service design and demand are not independent of each other, and if a mobility service is to change behavior (i.e. achieve impact) as well as create added value, these goals need to drive design decisions and a deliberate, conscious development of service dimensions such as customization, bundling, and range of the offer. Based on the experiences gained, the authors emphasize a more holistic and flexible perspective on mobility (and design perspective on mobility services) that is focused on serving users’ needs, and that involves capitalizing on synergies between public and private actors, in order to develop the MaaS ‘offer’ and better meet the urban mobility challenge ahead.
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A field experiment investigated the prediction and change in repeated behaviour in the domain of travel mode choices. Car use during seven days was predicted from habit strength (measured by self-reported frequency of past behaviour, as well as by a more covert measure based on personal scripts incorporating the behaviour), and antecedents of behaviour as conceptualized in the theory of planned behaviour (attitude, subjective norm, perceived behavioural control and behavioural intention). Both habit measures predicted behaviour in addition to intention and perceived control. Significant habit x intention interactions indicated that intentions were only significantly related to behaviour when habit was weak, whereas no intention-behaviour relation existed when habit was strong. During the seven-day registration of behaviour, half of the respondents were asked to think about the circumstances under which the behaviour was executed. Compared to control participants, the behaviour of experimental participants was more strongly related to their previously expressed intentions. However, the habit-behaviour relation was unaffected. The results demonstrate that, although external incentives may increase the enactment of intentions, habits set boundary conditions for the applicability of the theory of planned behaviour.
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Recent research notes a disconnect between what marketers deem new and innovative versus what consumers actually perceive. Many factors may contribute to this; however, the factor that has significant potential to first attract a consumer to a new product, visual aesthetic design, is investigated in this research. Findings from four studies indicate that if a consumer cannot affix a category label to a new product with certainty, as can happen with innovative aesthetics, a product's newness will be underappreciated and product evaluations will suffer. By utilizing a categorization framework and specifically accounting for the role of categorization certainty, insight into the effects of innovative visual aesthetics and why newness perceptions are inherently subjective, and therefore, potentially hazardous to new product adoption, is provided.
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Measurement issues and structure of environmental concerns (ECs) were assessed in two studies. The findings have theoretical and practical implications for research into ECs, and for applications of the value–belief–norm (extended norm activation) theory. Study 1 compared two different scales used in previous research to measure beliefs about adverse consequences (ACs), or concerns, for egoistic, altruistic, and biospheric-valued objects. A group of participants completed both scales. The ECs scale was shown to be more reliable and to have much clearer dimensionality than the AC Beliefs scale. In Study 2, the structure of ECs was tested, using structural equation modelling. The three-factor structure, of the value–belief–norm theory, fitted the data better than two different two-factor models. It was demonstrated, however, that a four-factor structure, including two separate biospheric concerns of plant and animal, gave the best fit to the data. This structure is discussed in relation to degree of otherness. It was also demonstrated that social–altruistic concerns are more closely allied to egoistic concerns (as human, or anthropocentric, concerns) than they are to biospheric concerns (as general altruistic concerns).
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How to reduce private vehicle use and to encourage public transit have always been the fundamental policy goals of transportation authorities. Whether mode choice behaviors are reasoned action or habit has also been debated, resulting in mixed arguments. This study proposes an integrated model combining the theory of planned behavior (TPB), the technology acceptance model (TAM), and habit to examine the switching intentions toward public transit by private vehicle users (both car and motorcycle users). The results reveal that through a comparison with the TPB variables, the habitual behavior of private vehicle use hinders an individual’s intention to switch from a car or motorcycle to public transit. Furthermore, motorcycle commuters are more likely than car commuters to resist their habitual mode use behavior in switching to public transit through their reasoned evaluation process. Implications and suggestions for future research are discussed.