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1 – 5 of 5Pearl M.C. Lin, Wai Ching Wilson Au and Thomas Baum
Drawing on the mSERVQUAL model and spillover theory, this study aims to examine the mechanism through which food-ordering mobile app service quality influences users’ mobile app…
Abstract
Purpose
Drawing on the mSERVQUAL model and spillover theory, this study aims to examine the mechanism through which food-ordering mobile app service quality influences users’ mobile app satisfaction, food satisfaction and repurchase intentions.
Design/methodology/approach
Online surveys were completed by 1,000 customers who used a food-ordering mobile app to order fast food on the day they completed the online survey. Structural equation modelling was then used to examine the proposed mechanism.
Findings
Results showed that the effects of food-ordering mobile app service quality on customer satisfaction (i.e. mobile app satisfaction and food satisfaction) and repurchase intention varied widely across service quality dimensions. Mobile app service quality had significant spillover effects on food satisfaction and repurchase intention.
Practical implications
Online food-delivery platforms should find the results insightful to better design their food-ordering mobile app. The findings can also assist restaurateurs and mobile payment companies with supporting the whole online food delivery process.
Originality/value
Rather than examining online food delivery service quality based on the service delivery process in the during-consumption stage or the service outcomes in the post-consumption stage, this study focused on the service quality in the pre-consumption stage to highlight the important role of online food delivery mobile apps. From a longitudinal perspective, this study drew on the associate network theory to explain the spillover effect of mobile app satisfaction in the pre-consumption stage on food satisfaction in the during-consumption stage and repurchase intention in the post-consumption stage.
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David Goyeneche, Stephen Singaraju and Luis Arango
This paper explores the similarities and differences in privacy attitudes, trust and risk beliefs between younger and older adults on social networking sites. The objective of the…
Abstract
Purpose
This paper explores the similarities and differences in privacy attitudes, trust and risk beliefs between younger and older adults on social networking sites. The objective of the article is to ascertain whether any notable differences exist between younger (18–25 years old) and older (55+ years old) adults in how trust and risk are influenced by privacy concerns upon personal information disclosure on social media.
Design/methodology/approach
A Likert scale instrument validated in previous research was employed to gather the responses of 148 younger and 152 older adults. The scale was distributed through Amazon Mechanical Turk. Data were analyzed through partial least squares structural equation modeling.
Findings
No significant differences were found between younger and older adults in how social media privacy concerns related to trust and risk beliefs. Two privacy concern dimensions were found to have a significant influence on perceptions of risk for both populations: collection and control. Predictability and a sense of control are proposed as two conceptual approaches that can explain these findings.
Originality/value
This article is the first one to explore age differences in privacy concerns, trust and risk on social media employing conceptual developments and an instrument specifically tailored to the social media environment. Based on the findings, several strategies are suggested to keep privacy concerns on social media at a minimum, reduce risk perceptions and increase users' trust.
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Vu Hong Van, Nguyen Ngoc Quynh and Nguyen Khanh Doanh
This study aims to analyze the factors affecting tea-producing farmers' intention to use e-commerce exchanges (ECEs) to sell their products, combining the technology acceptance…
Abstract
Purpose
This study aims to analyze the factors affecting tea-producing farmers' intention to use e-commerce exchanges (ECEs) to sell their products, combining the technology acceptance model (TAM) theory and barrier factors.
Design/methodology/approach
The authors use the generalized structural equation modeling (GSEM) to analyze the intermediate model that is built on TAM.
Findings
Research results show that perceived usefulness (PU) and perceived ease of use (PEU) significantly influence farmers' intention to use ECEs to sell their products. However, knowledge and information barriers hinder farmers' intention to use such ECEs.
Research limitations/implications
Encouraging farmers to use ECEs is the most helpful solution for agricultural economic development in the context of the Covid-19 pandemic.
Originality/value
From an academic perspective, this is the first study that combines the TAM theory of Davis (1989) and barrier factors to analyze farmers' intention to use ECEs. The findings are valuable references for policymakers to propose strategies for agricultural economic development during the current pandemic. At the same time, the empirical results obtained from this study provide good orientations for agricultural economic development 4.0 in the future.
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Hassan Rahnama Haratbar, Mehrzad Saeedikiya and Mohammad Hassan Seif
This study in Iran examined the role of internal and external psychological factors that affected green purchase intention. Moreover, it examined these variables' direct and…
Abstract
Purpose
This study in Iran examined the role of internal and external psychological factors that affected green purchase intention. Moreover, it examined these variables' direct and indirect effects and green purchase intention on green purchase behavior.
Design/methodology/approach
An extended version of the theory of planned behavior (TPB) was employed, based on which a theoretical model was designed to reach the authors’ aim. An online questionnaire was used to collect data. For data analysis, confirmatory factor analysis, structural equation modeling, the bootstrapping method and the Preschool Language Scale (PLS) product-indicator approach were conducted to test the proposed conceptual model.
Findings
Results show that self-identity, self-interest, self-efficacy and a growth mindset have a positive impact on green purchase intention. However, the study found no predictive effect from peer influence and warm glow. In addition, self-efficacy and green purchase intention significantly affect green purchase behavior. The study reveals that green purchase intention substantially mediates the relationship between self-interest, growth mindset, warm glow and green purchase behavior. Further, warm glow moderates the impact of peer influence, self-identity and self-efficacy on green purchase intention. This study emphasizes the critical role of dispositional factors on green purchase intention and behavior.
Originality/value
Few studies consider the effect of the individual self, a growth mindset, a warm glow and peer influence on green purchase intention simultaneously. In addition, the authors introduced a different version of the TPB model. Further, this research also conducted how these variables, directly and indirectly, affect green purchase behavior.
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Andrew Ebekozien and Mohamad Shaharudin Samsurijan
Studies showed that digital technology applications in the construction industry are low, especially in many developing nations. Construction incentivisation (CI) is one of the…
Abstract
Purpose
Studies showed that digital technology applications in the construction industry are low, especially in many developing nations. Construction incentivisation (CI) is one of the long-standing principles adopted to enhance project performance. There is a paucity of studies concerning CI to improve digital technology applications. Thus, this research investigated the relevance and perceived hindrances that may hinder the implementation of CI from promoting digital technologies and proffer ways to improve digital technology applications in the construction sector.
Design/methodology/approach
In Nigeria’s context, this research is exploratory. Twenty-four semi-structured virtual interviews were conducted in Lagos and Abuja, Nigeria, with knowledgeable participants that indicated interest and were interviewed. The engaged interviewees were drawn from government agencies, academicians in construction consultancy, Internet and communication technology experts, construction contracting firms and construction consulting firms. The collected data were coded and analysed through a thematic method.
Findings
Digitalisation of the industry via CI may face some hindrances. The perceived issues that may hinder CI implementation were classified into most severe, severe and fairly severe in Nigeria’s construction industry context. Findings proffer feasible policy solutions that can mitigate these issues and improve digital technology applications in the industry via the CI.
Research limitations/implications
This study covered the relevance and perceived issues that may hinder the implementation of the CI to improve digital technology applications in the industry. Also, the study proffers policy solutions to enhance digital technology applications in the industry via the CI concept.
Practical implications
Findings from this research will support and offer a valuable understanding of the relevance of the “incentivisation concept” to improve digital technology applications in the Nigerian-built environment. Other developing countries with low applications of digital technology in construction may consider the suggested policy solutions from this research. Also, this study will stir policymakers and construction practitioners to support policies tailored towards improving digital technology applications in construction.
Originality/value
This research contributes by exploring the effectiveness of the CI concept and informing construction practitioners and policymakers on how to improve digital technology applications in the Nigerian construction industry.
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