Digital Economy and Corruption Perceptions: A Cross-Country Analysis

Merhi, Mohammad I.; Ahluwalia, Punit

doi:10.4192/1577-8517-v18_2

Cited by 19 publications

(8 citation statements)

References 32 publications

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“…The stakeholder theory provides a lens through which government's role in technology diffusion can be examined; political and economic philosophies and culture being other important factors. Governments' eminent role in diffusion of new technologies is widely reported in the literature (Merhi and Ahluwalia, 2018). Technology and data have become a significant contributor to the overall economic well-being of countries.…”

Section: Moderating Factors 431 Government's Focus On Information Technologymentioning

confidence: 99%

Effective and efficient usage of big data analytics in public sector

Merhi

Bregu

2020

Self Cite

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Purpose This study aims to achieve three goals: present a holistic, flexible and dynamic model; define the model’s factors and explain how these factors lead to effective and efficient usage of big data; and generate indexes based on experts’ input to rank them based on their importance. Design/methodology/approach This paper uses the analytic hierarchy process, a quantitative method of decision-making, to evaluate the importance of the factors presented in the model. The fundamental principle of the overall model is that of a dynamo which is borrowed from electromagnetic physics. The model is also based on three IS theories. Findings Technological advancements and data security are among the most important factors that may impact the effectiveness and efficiency of big data usage. Authentication, governments’ focus on it and transparency and accountability are the most important factors in techno-centric, governmental-centric and user-centric factors, respectively. Research limitations/implications The findings of this paper confirmed earlier findings in the literature and quantitatively assessed some of the factors that were conceptually presented. This paper also presented a framework that can be used in future studies. Practical implications Policy and decision-makers may need to upgrade pertinent technologies such as internet security, frame policies toward information technology (IT) and train the users. Originality/value This paper fills a gap in the literature by presenting a comprehensive study of how different factors dynamically contribute to the effective usage of big data in the public sector. It also quantitatively presents the importance of the factors based on the data collected from 12 IT experts.

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Section: Moderating Factors 431 Government's Focus On Information Technologymentioning

confidence: 99%

Effective and efficient usage of big data analytics in public sector

Merhi

Bregu

2020

Self Cite

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“…CPI is also the most widely used indicator of corruption worldwide. Corruption research in the management sector also uses corruption as a perception (e.g., Merhi & Ahluwalia, 2018;Makhlouf, 2016;Tverdova, 2011). The literature also shows that there are 2 conflicting perspectives regarding corruption in management (Cuervo-Cazurra, 2016).…”

Section: Corruption Perceptionmentioning

confidence: 99%

Assessing Indonesian Youth Acceptance of Corruption: Applying the Stimulus-Organism-Response Framework

Sihombing

Achmadi

2022

Acad. J. Interdiscip. Stud.

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Corruption is one of the old problems facing the Indonesian government to date. The Covid-19 pandemic has not reduced corrupt behaviour in Indonesia. In fact, state officials in Indonesia were arrested for corruption in providing government social assistance to communities affected by this pandemic. Based on this phenomenon, this study aims to predict corruption acceptance behaviour using a stimulus-organism-response framework. The research focuses on youth because youth are future adults who will be active in business, politics, community activities, and others. A total of 246 youth was respondents in this study. Judgmental sampling was applied in this study and questionnaires were distributed online. The data was then analysed using structural equation modelling. The results of the analysis show that 4 of the 8 research hypotheses are supported. The four hypotheses supported are that anti-social media exposure has a negative relationship with personal values of materialism and materialism has a positive relationship with acceptance of corruption. The results of the analysis also show that pro social media exposure has a positive relationship with religious involvement. Furthermore, religious involvement has a negative relationship with acceptance of corruption. Limitations and suggestions for further research are also presented in this paper. Received: 14 October 2021 / Accepted: 20 January 2022 / Published: 5 March 2022

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“…Many studies have demonstrated that digitisation reduces corruption and allows governments to operate with greater transparency and efficiency (Merhi and Ahluwalia (2018), Haafst (2017), Sabbagh et al (2013) Where TI is the transparency international measured by a corruption perception index (CPI); DI is the digitisation index; GDPC stands for GDP per capita; GR is the GGDP; IR is the inflation rate; EF is an economic freedom index; GINI is a Gini coefficient; c is a constant; and η is the error term. The definitions of K ICT and K NICT were aforementioned.…”

Section: Relationship Between Digitisation and Transparencymentioning

confidence: 99%

Socioeconomic Impacts of Digitisation in Saudi Arabia

Neffati¹,

Gouidar²

2019

IJEFI

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The aim of this paper is to measure and analyse the socioeconomic effects of digitisation in Saudi Arabia by using data for the period 1981-2016. Adopting the autoregressive distributed lag and the fully modified least squares approaches, the results reveal significant relationships between the digitisation and socioeconomic variables. Notably, digitisation contributes to the gross domestic product, reduces unemployment, and enhances transparency. Thus, digitisation can be considered a new impetus growth and a powerful instrument of economic diversification that permits the transition to a knowledge-based economy.

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Digital Economy and Corruption Perceptions: A Cross-Country Analysis

Cited by 19 publications

References 32 publications

Effective and efficient usage of big data analytics in public sector

Effective and efficient usage of big data analytics in public sector

Assessing Indonesian Youth Acceptance of Corruption: Applying the Stimulus-Organism-Response Framework

Socioeconomic Impacts of Digitisation in Saudi Arabia

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