Fraud Crime Mitigation of Mobile Application Users for Online Transportation

Damaini, Amaya Andri; Nugroho, Ginanjar Setyo; Suyoto, Suyoto

doi:10.3991/ijim.v12i3.8070

Cited by 17 publications

(13 citation statements)

References 9 publications

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“…In Damaini et al [16] developed a fraud detection ranking system to get a better user experience based on rankings, ratings, and reviews. In this way, the two types of fraud are assisted by analyzing the user's comments and ratings on the application, and finally the three pieces of evidence are used to calculate the aggregation to evaluate the credibility of the application's leading session.…”

Section: Fraud Spam and Incentivized Reviews And Ratingsmentioning

confidence: 99%

Quality Prediction of Wearable Apps in the Google Play Store

Siddiqui¹,

Faisal²,

Khurram³

et al. 2022

Intelligent Automation &Amp; Soft Computing

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Section: Fraud Spam and Incentivized Reviews And Ratingsmentioning

confidence: 99%

Quality Prediction of Wearable Apps in the Google Play Store

Siddiqui¹,

Faisal²,

Khurram³

et al. 2022

Intelligent Automation &Amp; Soft Computing

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“…Accordingly, despite the advantages there was still mistrust concerning the company services on two levels: the legal gaps regarding such business models and trust in the procedural process of transporting people. Therefore, for several years Gojek operated with no significant growth (Damaini et al. , 2017) – not because of a lack of an economic value proposition, but due to a lack of trust from both the investor and the customer.…”

Section: About Gofoodmentioning

confidence: 99%

Trust-aware process design: the case of GoFood

Funke

Rosemann

et al. 2022

BPMJ

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PurposeTrust is an increasingly important requirement for any business and as a result has become a contemporary design criterion for business processes. However, the literature to date is very much focused on the technical (security) aspects, which are provider centric, as opposed to trust that is customer centric. In this paper, the authors extended an initial meta-model of trust-aware process design by proposing a way to capture trust-intensity for four trust dimensions, i.e. input, people, process and output and an organizational trust position. The authors also investigate the deployment of the extended meta-model in practice.Design/methodology/approachAn extensive literature study is conducted to derive an understanding of the dimension's customer trust when interacting with an organization. Based on the findings of the literature review and a previously developed trust meta-model, the authors propose a way to describe an organizational trust position, i.e. the depiction of how much uncertainty is prevalent in the trust dimensions. Next, the authors conducted an exploratory case study using secondary data to validate the extended meta-model.FindingsThe case study demonstrated the applicability of the extended trust meta-model and derived actionable practices. In this case, the Indonesian food delivery company GoFood, the authors identified trust concerns in the input, process, resources and output of their business at the start of their operations. Since then, GoFood took specific actions to reduce their operational, behavioral and perceived uncertainty and these identified trust concerns. To a lesser degree, GoFood has managed vulnerability issues and invested in measures to increase customers' confidence. As a result of reduced uncertainties, GoFood's business has grown and became the number one in food service delivery in Indonesia.Research limitations/implicationsThe approach to capture trust (in the trust dimensions) is still a simplified version and a pre-step for a fully developed management tool or method. The use of a secondary data from a single case study also limits the validity and generalizability of the findings.Practical implicationsThe extended meta-model proposed in this paper has several implications related to the organization's BPM capabilities. The result also demonstrates how trust measures related to reducing uncertainty, reducing vulnerability and increasing confidence can be applied in practice. Strategies used by the case company presented here such as rating systems to increase confidence can be used by other firms within a similar context.Social implicationsHaving an empirically validated framework for the management of trust, allows organizations to execute an operational model for the development of trusted engagement with the main benefactor being the customer.Originality/valuePrevious trust-related studies focused on conceptual ideas only, relied on fictive examples or were very much focused on the technical (security) aspects of business processes. This study is the first empirical validation of a trust meta-model that serves managers to understand their trust position and to guide trust-building actions.

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“…Based on the reviewed studies, it can be concluded that SD is suitable to be used to simulate the medium and long-run effect of varies transportation policies considering the influenced factors as a feedback interrelationship that work as a holistic model which changes cause to a chosen policy variable will effect on the other variable [24].…”

Section: System Dynamics Studies Related To Transportation Issuesmentioning

confidence: 99%

Modelling the Impact of Mobile Application Adoption on the Taxi Demand: An Application of a System Dynamics Approach

Ghani

Abidin

Rahman

et al. 2021

Int. J. Interact. Mob. Technol.

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<p>The improvement of technology brings a significant impact on transportation industries. The taxi industry has undergone tremendous changes with the existent of e-hailing service in the industry. Due to the introduction of mobile applications, e-hailing service takes part to compete in the market. The government has given priority to overcome the problem by introducing travel demand strategies that focus on mitigating the demand competition between the taxi and e-hailing services. One of the strategies is the adoption of a mobile application in taxi service. This paper aims to develop a system dynamics model to analyse mobile application adoption’s impact on customers’ demand on the mode share of taxi and e-hailing services as a measured output. System dynamics is a decision-experimentation method that creates a learning environment in which policymakers gain a better understanding of how the system will respond to their decisions and the potential unintended consequences of decisions. With the developed SD model, the feedback relations between mobile application adoptions on the output of taxi demand can be observed. Furthermore, the demand competition between the taxi and e-hailing services can be minimised using this SD model. The result shows that, by implementing the usage of the mobile application in taxi services, more users will be attracted to use the taxi service. With that service option, users will shift their attraction from e-hailing to taxi service, which is then able to minimise the demand competition. This research can benefit policymakers and authorities in the department of transportation to serve as a planning tool so that the demand of taxi and e-hailing services in Malaysia with the adoption of mobile application in taxi service can be predicted.</p>

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Fraud Crime Mitigation of Mobile Application Users for Online Transportation

Cited by 17 publications

References 9 publications

Quality Prediction of Wearable Apps in the Google Play Store

Quality Prediction of Wearable Apps in the Google Play Store

Trust-aware process design: the case of GoFood

Modelling the Impact of Mobile Application Adoption on the Taxi Demand: An Application of a System Dynamics Approach

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