The Role of ICT Laws and National Culture in Determining ICT Diffusion and Well-Being: A Cross-Country Examination

Khan, Anupriya; Krishnan, Satish; Arayankalam, Jithesh

doi:10.1007/s10796-020-10039-y

Cited by 18 publications

(10 citation statements)

References 108 publications

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“…This is essential since decision-making on security innovation depends not only on the views of IT personnel, but on the need to persuade the board or management for their approval. The results from table 5 are congruent with earlier studies which demonstrated that senior management had an indirect effect on innovation acceptance (Alshamaila et al, 2013;Dubey et al, 2016;Lautenbach et al, 2017;Gangwar, 2018;Khan et al, 2020;Najib & Fahma, 2020). The ability of the board or management of HEI to allocate or assign resources in the procurement of cutting-edge security technologies is one potential explanation for the significant findings.…”

Section: Organizational Contextsupporting

confidence: 89%

“…The organizational context studies the mechanisms and structure of an organization, which either restricts or enables innovative adoption and implementation (Lai et al 2018). The approval from board members at HEIs is essential as they provide the resources necessary for innovation to happen (Lautenbach et al, 2017;Raguseo, 2018;Khan et al, 2020;Najib & Fahma, 2020). The willingness to invest in security in terms of training, logistics, and regulations will show a strong level of support from the HEI board.…”

Section: H3-complexity In Using Technologies Negatively Affects Dpc S...mentioning

confidence: 99%

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Educational Data Processing Centers; Determinants of Security Innovations at Higher Education Institutions

2023

JEP

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Higher education institutions are facing unprecedented security challenges due to the increasing recognition of the importance of integrating technology into the core business of teaching and learning. This study sought to investigate the determinants of security innovation for data processing centers of higher educational institutions. Studies related to security innovation of higher educational institutions are limited considering the vast amount of data processing centers deployed for academic operations. In all, 300 respondents were selected from higher education institutions to participate in a survey to test the proposed model by using multinomial logistic regression. The study found out that four predictor variables; relative advantage, complexity, board approval, and IT competencies were significant and hence the model was suitable for studying security innovation at the organizational level.

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Section: Organizational Contextsupporting

confidence: 89%

Section: H3-complexity In Using Technologies Negatively Affects Dpc S...mentioning

confidence: 99%

Educational Data Processing Centers; Determinants of Security Innovations at Higher Education Institutions

2023

JEP

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“…Similarly, technical complexity, prediction, and consequences of the consumer technology usage perception and financial risks are also recognized as potential risks for successful technological innovation adoption (Jeon et al 2020). Inadequate data management is also classified as a perceived risk for the adoption process (Khan et al 2020). Najib and Fahma (2020) accentuate the difficulty to set up a technology and costs of the project as one of the main risks that could make the innovational technology adoption unsuccessful and later usage of planned technology ineffective.…”

Section: Technology Adoption Modelsmentioning

confidence: 99%

“…Enterprises adapt their products and services to customer needs, using external and internal data sources. One of the best tools for using the various forms of internal and external data sources, and harmonizing them into the solution with relevant business value, is the business intelligent system (BIS), which allows enterprises to recognize and wisely use data to stabilize or improve their position on the market (Khan et al 2020). Consequently, strategic decisions based on quality data analysis lead to higher financial gains for the enterprise's operations.…”

Section: Introductionmentioning

confidence: 99%

Exploring Risks in the Adoption of Business Intelligence in SMEs Using the TOE Framework

Glavan

Bach

Vukšić

2021

JRFM

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The business success of small- and medium-sized enterprises (SMEs) increasingly relies on the adoption of various technological innovations. For today’s unpredictable business operations, business intelligence systems (BISs) represent one of the most prominent tools with a significant impact on business performance. However, different internal and external risks may influence BIS adoption. The goal of this paper is to investigate the risks that impact BIS adoption in SMEs, using the Technology, Organization, and Environment (TOE) framework. For that purpose, we develop the logistic regression model, using data collected by a questionnaire survey using a sample of 100 Croatian SMEs. The results indicate the applicability of the TOE theoretical framework for examining BIS adoption in SMEs. Given the results obtained, the sampled SMEs should take into account the internal risks related to the organizational dimension and external risks related to the environmental dimension. Our research did not reveal the significant impact of technological risks that encompass characteristics of considered technological innovation related to the technology dimension.

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“…To study the relationship between ICT, gender equality and income inequality, we drew from various sources of renowned and globally accepted databases, as shown in Table 1 . Consistent with previous literature (Asongu et al, 2019 ; Chavula, 2013 ; Efobi et al, 2018 ; Ganju et al, 2016 ; Khan et al, 2022 ; Sassi & Goaied, 2013 ; Stork, 2007 ), we employ the indicators of mobile phone subscriptions rate per 100 inhabitants, percentage of individuals using the internet and fixed broadband internet subscription rate per 100 inhabitants as indicators for ICT. We obtain these indicators from the Network Readiness Index reports.…”

Section: Methodsmentioning

confidence: 99%

ICT, Gender Inequality, and Income Inequality: A Panel Data Analysis Across Countries

Shah

Krishnan

2023

Inf Syst Front

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ICT has been long recognized as a driver of sustainable development goals (SDGs). This study examines the relationship between ICT, gender (in)equality (SDG 5), and income inequality (SDG 10). We conceptualize ICT as an institutional actor and use the Capabilities Approach to theorize the relationships between ICT, gender inequality and income inequality. This study uses publicly available archival data to conduct a cross-lagged panel analysis of 86 countries from 2013 to 2016. The key contributions of the study include the establishment of the relationship between (a) ICT and gender inequality and (b) gender inequality and income inequality. We also make methodological contributions to the field by employing cross-lagged panel data analysis to further our understanding of the links between ICT, gender equality, and income inequality over time. Our findings have implications for both research and practice, which are discussed.

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The Role of ICT Laws and National Culture in Determining ICT Diffusion and Well-Being: A Cross-Country Examination

Cited by 18 publications

References 108 publications

Educational Data Processing Centers; Determinants of Security Innovations at Higher Education Institutions

Educational Data Processing Centers; Determinants of Security Innovations at Higher Education Institutions

Exploring Risks in the Adoption of Business Intelligence in SMEs Using the TOE Framework

ICT, Gender Inequality, and Income Inequality: A Panel Data Analysis Across Countries

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