Spillover effects from web to mobile payment services

Zhang, Kem Z.K.; Gong, Xiang; Chen, Chongyang; Zhao, Sesia J.; Lee, Matthew

doi:10.1108/intr-11-2017-0457

Cited by 14 publications

(7 citation statements)

References 65 publications

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“…Therefore, future research should look into conducting cross-country research and/or comparative study between the various age groups to widen the scope of the study. Second, future studies can expound on the antecedents of exogenous variables such as value (Zhang et al , 2019), privacy (Gong et al , 2019) and TR (Cao et al , 2018). Also, there are other factors not included in this study that could have significant impacts on the SI to m-payment.…”

Section: Limitations and Future Researchmentioning

confidence: 99%

Switching from cash to mobile payment: what's the hold-up?

Loh

Lee

Tan

et al. 2020

INTR

133

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PurposeThis paper explores the reasons behind the slow uptake of mobile payment (m-payment) from a switching intention (SI) perspective. The antecedents of SI from cash to m-payment were explored using an integrated conceptual model of the push-pull-mooring (PPM) framework and the status quo bias (SQB) perspective.Design/methodology/approachA self-administered survey was used to collect data, which are empirically tested using SmartPLS 3.0.FindingsThe push factor was found to have an insignificant effect on SI to m-payment whereas the pull factor was significant. Furthermore, the results revealed that the two mooring variables have contrasting results as trust is not a significant determinant of SI to m-payment while perceived security and privacy (PSP) is. Additionally, all SQB-related relationships were found to be statistically significantOriginality/valueThis study determined the factors that play vital roles in the consumers' decision-making to transition from cash to m-payment. This was done via a uniquely developed conceptual model that incorporated the PPM framework with the SQB perspective.

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Section: Limitations and Future Researchmentioning

confidence: 99%

Switching from cash to mobile payment: what's the hold-up?

Loh

Lee

Tan

et al. 2020

INTR

133

View full text Add to dashboard Cite

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Section: Definition Of O2o and Implicationsmentioning

confidence: 99%

“…Nevertheless, spillover effect still possibly exists in O2O. Spillover effect is cognitive bias that is attributable to the influence of a product's overall impression on judgment of the product's specific properties or similar others (Zhang et al, 2019). Some prior studies examined the spillover effect between mobile applications and the two channels in O2O (Cho et al, 2019;Hwang and Kim, 2018).…”

Section: Multi-channel Modelmentioning

confidence: 99%

Defining online to offline (O2O): a systematic approach to defining an emerging business model

Lee

Feiyu

Chau

2022

INTR

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PurposeA new business model online to offline (O2O) has emerged in recent years. Similar to many new models at an early stage, O2O has inconsistent definitions which not only inhibit its adoption but also poorly differentiate O2O from other existing business models. To resolve the two issues, the authors propose an approach of definition development.Design/methodology/approachTo show the usefulness of the approach, the authors demonstrate the differences among O2O and other business models with the use of the distinctive definition and thereby evaluate adoption of O2O from a practical perspective and identify research directions from a theoretical perspective based on the differences.FindingsThe authors' proposed approach of definition development integrates the work of Tatarkiewicz (1980) and Nickerson et al. (2013). The approach generates a distinctive definition of O2O with important analytical dimensions which help decision-making of adoption of O2O.Originality/valueThe paper aims to make several contributions. First, on theoretical contribution, the authors confine the scope of O2O studies and facilitate accumulation of more coherent knowledge of O2O. The authors help O2O evolve from a “buzz word” of successful stories in real businesses to a more serious concept from an academic perspective. Second, from a practical perspective, the authors' definition provides business executives with critical evaluative dimensions for gauging the adoption of O2O. Lastly, from a methodological perspective, the proposed approach can be used in future to define an emerging concept in real life businesses.

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“…Enterprise financial leverage refers to the phenomenon that the existence of fixed debt interest and preferred stock dividend significantly impacts the sovereign capital of common stock. Fixed debt interest and preferred stock dividends are leverage, while common stock sovereign funds are that pivot point [28]. e financial risk can be reflected from the degree of financial leverage of enterprises.…”

Section: Enterprise Financial Leveragementioning

confidence: 99%

Enterprise Financial Leverage and Risk Assessment Based on Mobile Payment under Artificial Intelligence

Song

2021

Mobile Information Systems

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To better promote the healthy and long-term development of corporate financial management, the basement is established on the perspective of artificial intelligence (AI). Initially, based on the theories of modern mobile payment (MP) and corporate financial leverage, the corresponding data set is obtained through the questionnaire method as the research data. The reliability coefficients obtained after the test are all above 0.65, indicating that the reliability and stability of the entire data are relatively good. Besides, it is also found from the data of the questionnaire that some residents believe that MP will bring harm such as information leakage. Next, a new multilevel evaluation analysis method is introduced. After evaluating the financial management risk, operation risk, and network security risk existing in enterprise MP, it is found that the financial management risk accounts for the largest proportion of the three, with a risk weight of about 0.54, and the capital risk occupies the main position in the financial management risk. Finally, through the analysis of the risks existing in the whole operation process of the enterprise, it is found that about 50% of the financial management risk of the enterprise in the market belongs to the advanced risk, about 30% of the operational operation risk belongs to the low risk, and about 20% of the network security risk belongs to the advanced risk, which indicates that the financial management risk and network security risk are the top priority of the enterprise MP risk. Although the operational operation risk belongs to the low risk, it cannot be ignored. Subsequently, feasible suggestions and opinions are put forward on these phenomena from the perspectives of the government, enterprises, and residents. Therefore, there is great reference significance for the current financial risk assessment of enterprises based on MP.

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Spillover effects from web to mobile payment services

Cited by 14 publications

References 65 publications

Switching from cash to mobile payment: what's the hold-up?

Switching from cash to mobile payment: what's the hold-up?

Defining online to offline (O2O): a systematic approach to defining an emerging business model

Enterprise Financial Leverage and Risk Assessment Based on Mobile Payment under Artificial Intelligence

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