Green value and sustainable transportation engagement: The mediating role of attitude

Anuar, Melati Ahmad; Razali, Norhayati; Ngah, Abdul Hafaz

doi:10.5267/j.msl.2020.9.012

Cited by 5 publications

(5 citation statements)

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“…We also observed the mediating role of consumers' green values in unsustainable travel habits and the intention to travel via sustainable transportation modes, supporting existing research indicating that green values positively influence sustainable consumption practices, including transportation engagement [51][52][53].…”

Section: Discussionsupporting

confidence: 83%

Habit Transformation in Times of Crisis: How Green Values Promote Sustainable Mobility

Freudenreich,

Penz

2024

Sustainability

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Going on holiday is often associated with taking the car or plane. Even for short distances, and where alternative, sustainable transportation modes would be available, we frequently choose the more unsustainable options. Affordability, comfortability, and time savings led to an increase in transportation, which in turn, negatively contributed to greenhouse gas emissions. The reduction in those emissions can be achieved by choosing public transportation. However, since transportation choices are often made unconsciously and habitually, it is crucial to transform those unsustainable habits into more sustainable ones. Contextual changes can serve as a catalyst. This research investigates whether pre-COVID-19 and pre-inflation unsustainable travel habits can be broken through the perceived impact of COVID-19, financial hardship, and green consumption values, increasing the intention for sustainable transportation modes using a survey design. We found that the context change, as such, does not predict future intentions to travel sustainably, but existing green consumption values do. Building on the self-activation theory, the results show that habits and the perceived impact of COVID-19 and financial hardship activate a person’s green consumption values. Consumers’ green values mediate the relationship between unsustainable habits and the intentions to use sustainable transportation modes, combining the habit discontinuity and self-activation hypotheses.

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Section: Discussionsupporting

confidence: 83%

Habit Transformation in Times of Crisis: How Green Values Promote Sustainable Mobility

Freudenreich,

Penz

2024

Sustainability

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“…From the test results using Smart PLS 4.0, it was found that there was one indicator that did not meet the requirements, namely indicators with codes IT1 and IT4 (< 0.6), so the researcher deleted this indicator and recalculated the PLS algorithm. In a well-fitting model, Heterotrait correlations should be smaller than Monotrait correlations, meaning that the HTMT ratio should be below 1.0 (Razali et al, 2021). Accordingly, as listed in Table 4 all the HTMT values are not more than 0.95, indicating that the constructs are different, thus, discriminant validity can be claimed to have been established (Adedeji et al, 2017).…”

Section: Resultsmentioning

confidence: 96%

The Influence of Information Technology, Information System, and Information Management Capability on Organizational Performance of Pt. Xyz

Yoga,

Firdausy

2024

ijaeb

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One of the problems faced by the pharmaceutical company in Indonesia is how to improve organizational performance. This research seeks to analyze the influence of information technology, information systems, and information management capability on organizational performance by taking into account a pharmaceutical company PT XYZ. The source of data was obtained from questionnaires. The total number of respondents sampled by non-probability sampling method was 135 respondents as Area Managers spread throughout Indonesia. The method to analyze the data was by employing Partial Least Square-Structural Equation Modeling (PLS-SEM). The results show that information technology, information systems, and information management capability have a positive and significant influence on the organizational performance of PT XYZ. These suggest that PT XYZ needs to give attention on how using an integrated information system which supported by information technology, and equipped with good data or information management capabilities to improve its organizational performance. This can be done by easing access, presenting data that summarizes all information correctly, and correcting the format to assist decision-making as well as management's commitment to continuing to develop information systems to improve the organizational performance of PT. XYZ.

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“…One possible approach to understand the interplay in multi-actor service ecosystems is through the value-attitude-behavior (VAB) model. Researchers have reported findings of the mediating role of attitudes between values and behaviors in their work and succeeded in providing an explanation ( Shim and Eastlick, 1998 ; Jayawardhena, 2004 ; Hansen, 2008 ; Cai and Shannon, 2012 ; Kang et al, 2015 ; Shamim et al, 2017 ; Kautish and Sharma, 2019 ; Singh et al, 2019 ; Razali et al, 2021 ). According to this framework, values both directly and indirectly influence behavior ( Homer and Kahle, 1988 ).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Experiential Value in Multi-Actor Service Ecosystems: Scale Development and Its Relation to Inter-Customer Helping Behavior

2021

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Interactions in service ecosystems, as opposed to the service dyad, have recently gained much attention from research. However, it is still unclear how they influence a customer’s experiential value and trigger desired prosocial behavior. The purpose of this study is to identify which elements of the multi-actor service ecosystem contribute to a customer’s experiential value and to investigate its relation to a customer’s interaction attitude and inter-customer helping behavior. The authors adopted a scale development procedure from the existing literature. Service, brand, retail and tourism management research as well as expert feedback is used to generate a pool of 33 items. Exploratory and confirmatory factor analysis (CFA) were conducted. The scale was validated based on more than 468 responses to a CASI at one of the world’s largest trade shows. Scale-development procedure was followed by structural equation modeling. CFA supports that experiential value in multi-actor ecosystems comprises five dimensions. The functional value of personnel (professionalism), the perception of other customers’ appearance (similarity), the perception of other customers’ behavior (suitable behavior), multisensory stimuli (sensory appeal), and a customer’s enjoyment (playfulness). Experiential value positively and directly relates to a customer’s interaction attitude and inter-customer helping behavior. Furthermore, the effect of experiential value on inter-customer helping behavior is partially mediated by interaction attitude. Managers interested in getting more out of interactions with customers will develop an understanding for the interplay between the physical environment and individuals within a multi-actor ecosystem. Social scientists and managers can use the scale to assess experiential value, encourage a customer’s interaction attitude and utilize the customers’ influence on their peers. This paper synthesizes insights from existing research on experiential value, from various fields, in one scale. This holistic approach is the first to simultaneously account for a customer’s interactions with the multisensory physical environment, personal interactions with employees and interactions between customers in a multi-actor service ecosystem.

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Green value and sustainable transportation engagement: The mediating role of attitude

Cited by 5 publications

References 0 publications

Habit Transformation in Times of Crisis: How Green Values Promote Sustainable Mobility

Habit Transformation in Times of Crisis: How Green Values Promote Sustainable Mobility

The Influence of Information Technology, Information System, and Information Management Capability on Organizational Performance of Pt. Xyz

Experiential Value in Multi-Actor Service Ecosystems: Scale Development and Its Relation to Inter-Customer Helping Behavior

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