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1 – 2 of 2Hamad Mohamed Almheiri, Syed Zamberi Ahmad, Abdul Rahim Abu Bakar and Khalizani Khalid
This study aims to assess the effectiveness of a scale measuring artificial intelligence capabilities by using the resource-based theory. It seeks to examine the impact of these…
Abstract
Purpose
This study aims to assess the effectiveness of a scale measuring artificial intelligence capabilities by using the resource-based theory. It seeks to examine the impact of these capabilities on the organizational-level resources of dynamic capabilities and organizational creativity, ultimately influencing the overall performance of government organizations.
Design/methodology/approach
The calibration of artificial intelligence capabilities scale was conducted using a combination of qualitative and quantitative analysis tools. A set of 26 initial items was formed in the qualitative study. In the quantitative study, self-reported data obtained from 344 public managers was used for the purposes of refining and validating the scale. Hypothesis testing is carried out to examine the relationship between theoretical constructs for the purpose of nomological testing.
Findings
Results provide empirical evidence that the presence of artificial intelligence capabilities positively and significantly impacts dynamic capabilities, organizational creativity and performance. Dynamic capabilities also found to partially mediate artificial intelligence capabilities relationship with organizational creativity and performance, and organizational creativity partially mediates dynamic capabilities – organizational creativity link.
Practical implications
The application of artificial intelligence holds promise for improving decision-making and problem-solving processes, thereby increasing the perceived value of public service. This can be achieved through the implementation of regulatory frameworks that serve as a blueprint for enhancing value and performance.
Originality/value
There are a limited number of studies on artificial intelligence capabilities conducted in the government sector, and these studies often present conflicting and inconclusive findings. Moreover, these studies indicate literature has not adequately explored the significance of organizational-level complementarity resources in facilitating the development of unique capabilities within government organizations. This paper presents a framework that can be used by government organizations to assess their artificial intelligence capabilities-organizational performance relation, drawing on the resource-based theory.
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Aman Kumar Joshi, Rajesh Matai and Nagesh N. Murthy
This study aims to investigate the impact of information and communication technology (ICT) investment on the micro, small and medium enterprises (MSME) profitability in the…
Abstract
Purpose
This study aims to investigate the impact of information and communication technology (ICT) investment on the micro, small and medium enterprises (MSME) profitability in the Indian context.
Design/methodology/approach
This study used a framework based on the ICT investment and firm size, measuring the impact on profit before depreciation, interest, tax and amortisation of MSME by taking a random sampling of 300 Indian MSME manufacturing firm’s secondary data from the Prowess database. This framework was analysed using the design of experiment (DoE) technique.
Findings
The study showed that ICT investment has a significant positive relationship with profitability. This study examines the different ICT investment levels to predict investment strategies and fine-tune profit targets. The critical finding is that ICT investment maximises profit at one million rupees. This discovery aids MSME leaders’ sustainable business decision-making.
Research limitations/implications
This study has an explicit limit to the Indian context, where the firm requirements of countries are different, and these findings need to be validated with many operating variables and applied to more firms with more data. Even so, as a theoretical implication, this study took a novel approach to ICT adoption (through ICT investment) in the Indian MSME sector with guiding levels of ICT investment for each type of firm (i.e. micro, small and medium). This study opens new avenues for investigating researchers and stakeholders by exploring other factors responsible for ICT adoption.
Practical implications
This study uniquely provides practitioners with the functional level of ICT investment for MSMEs in the Indian context. These finding guides top management to make strategic ICT adoption decisions with information symmetry. At the same time, these findings suggest financial institutions astern their credit programme to provide credit for ICT investment in MSMEs.
Social implications
This study highlights the value of ICT as a practical resource for business owners that significantly makes MSMEs more informed and profitable, thus creating more jobs and incrementing the country’s gross domestic product (GDP).
Originality/value
This study offers unique empirical findings on how decision makers in MSMEs maximise profits through optimal ICT investment levels depending upon the firm size in an emerging economy like India. There is evidence in the study to conclude that ICT is a need of MSME and has implications for firm performance.
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