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This paper examines the factors influencing the adoption of Quality 4.0 technologies by quality professionals. The study evaluates perceived usefulness, perceived ease of use, attitude towards use, and intention to use new technologies.

The research involves a literature review, identification of latent variables derived from the Technology Acceptance Model (TAM), and a survey conducted among 200 quality professionals in the high-tech sector using computer-assisted web interviews.

The study elucidates the attitudes and intentions of high-tech industry employees towards adopting Quality 4.0 technologies. The primary conclusion drawn is that the predominant factor shaping the attitude of quality professionals towards new technologies is their confidence in their ability to effectively engage with these technologies rather than solely the perceived usefulness of such technologies to themselves or their organization.

This study is subject to certain limitations. Firstly, it focuses on five variables identified in the TAM model, potentially overlooking other pertinent factors that could provide a more comprehensive understanding. Secondly, the analysis of Quality 4.0 technologies is presented in a generalized manner, possibly resulting in nuanced differences if each specific technology were examined individually.

This article fills a gap in the literature by identifying the factors influencing quality professionals' adoption of Quality 4.0 technologies and delineating the relationships between these factors.

This paper aims to investigate the factors influencing chief executive officers’ (CEOs') intentions to implement cloud technology in Italian small and medium-sized enterprises (SMEs).

The study proposes a model that integrates the theoretical construct of the technology acceptance model (TAM) with a classification of perceived benefits and risks related to cloud computing. The study employs a structural equation modeling approach to analyze data gathered through a Likert scale-based survey.

The findings indicate that risk perception has a strong negative effect on the intention to introduce cloud technology in firms. This effect is partially offset by the perceived ease of use of the technology.

The study provides a new theoretical framework that integrates the TAM and a classification of perceived risks to provide a clear view of management's cognitive processes during technological change. Moreover, the results show the main factors influencing decisions regarding the implementation of cloud computing in firms in light of the perception of risks. Finally, this study provides interesting findings for cloud service providers (CSPs) about their customers' decision-making processes.

The purpose of this study is to examine whether external debt procurements during the military and civilian regimes had a correlation with infrastructural developments using available data from Nigeria.

The sample period covering 41 years, was divided into two periods representing the military and civilian regimes with respective secondary data secured from the World Bank Group online database. The study employed robust least square regression, autoregressive distributed lag and the error correction term to test the variables at the 0.05 significance level.

The results affirmed that external debts shows positive and significant relationship with infrastructural developments proxy for capital investments during the short-run for both military and civilian regimes in Nigeria, while the outcome was only significant and negatively signed for the civilian regime in the long-run with 52.28% speed of convergence to long-run. This study concludes that external debt showed significant correlation with infrastructural development during the civilian regime better than the military regime in Nigeria and this conclusion applies globally.

Research period covered only 41 years, between 1979 and 2020 and focused on sub-Saharan African country – Nigeria.

The research encourages civilian administration in governments and urged them to carefully appraise and contract external debts to finance self-liquidating priority projects.

The national economy and the masses suffer during military regime but are better off during civilian regime.

Apart from adding to current literature, the work focused on a coverage period that comprehensively compares two different regimes of government – military and civilian administrations.