Search results

This study aims to investigate why anti-corruption statutes are not efficient in Nigeria’s upstream petroleum industry.

This study is a doctrinal legal research that embraces a point-by-point comparative methodology with a library research technique.

This study reveals that corruption strives on feeble implementation of anti-corruption legal regime and the absence of political will in offering efficient regulatory intervention. Finally, this study finds that anti-corruption organisations in Nigeria are not efficient due to non-existence of the Federal Government’s political will to fight corruption, insufficient funds and absence of stringent implementation of the anti-corruption legal regime in the country.

Investigations reveal during this study that Nigerian National Petroleum Corporation (NNPC) operations are characterised with poor record-keeping, lack of accountability as well as secrecy in the award of oil contracts, oil licence, leases and other financial transactions due to non-disclosure or confidentiality clauses contained in most of these contracts. Also, an arbitration proceeding limit access to their records and some of these agreements under contentions. This has also limited the success of this research work and generalising its findings.

This study recommends, among other reforms, soft law technique and stringent execution of anti-corruption statutes. This study also recommends increment in financial appropriation to Nigeria’s anti-corruption institutions, taking into consideration the finding that a meagre budget is a drawback.

This study reveals that corruption strives on feeble implementation of anti-corruption legal regime and the absence of political will in offering efficient regulatory intervention. Corruption flourishes due to poor enforcement of anti-corruption laws and the absence of political will in offering efficient regulatory intervention by the government.

The study advocates the need for enhancement of anti-corruption agencies' budgets taking into consideration the finding that meagres budgets are challenge of the agencies.

The purpose of the research is to analyze the factors that determine the intention of small- and medium-sized enterprises (SMEs) to adopt the Metaverse. For this purpose, the analysis of the effort expectancy and performance expectancy of the constructs in relation to business satisfaction is proposed.

The analysis was performed on a sample of 182 Spanish SMEs in the technology sector, using a PLS-SEM approach for development. For the confirmation of the model and its results, an analysis with PLSpredict was performed, obtaining a high predictive capacity of the model.

After the analysis of the model proposed in this research, it is recorded that the valuation of the effort to be made and the possible performance expected by the companies does not directly determine the intention to use immersive technology in their strategic behavior. Instead, the results obtained indicate that business satisfaction will involve obtaining information, reducing uncertainty and analyzing the competition necessary for approaching this new virtual environment.

The study represents one of the first approaches to the intention of business behavior in the development of performance strategies within Metaverse systems. So far, the literature has approached immersive systems from perspectives close to consumer behavior, but the study of strategic business behavior has been left aside due to the high degree of experimentalism of this field of study and its scientific approach. The present study aims to contribute to the knowledge of the factors involved in the intention to use the Metaverse by SMEs interested in this field.

This research aims to investigate critical success factors, barriers and initiatives of total productive maintenance (TPM) implementation in selected manufacturing industries in Addis Ababa, Ethiopia.

This study built and looked into a conceptual research framework. The potential barriers and success factors to TPM implementation have been highlighted. The primary study techniques used to collect relevant data were a closed-ended questionnaire and semi-structured interview questions. With the use of SPSS version 23 and SmartPLS 3.0 software, the data were examined using descriptive statistics and the inferential Partial Least Square Structural Equation Modeling (PLS-SEM) techniques.

According to the results of descriptive statistics and multivariate analysis using PLS-SEM, the case manufacturing industries' TPM implementation initiative is in its infancy; break down maintenance is the most widely used maintenance policy; top managers are not dedicated to the implementation of TPM; and there are TPM pillars that have been weakly and strongly addressed by the case manufacturing companies.

The small sample size is a limitation to this study. It is therefore challenging to extrapolate the research findings to other industries. The only manufacturing KPI utilized in this study is overall equipment effectiveness (OEE). It is possible to add more parameters to the manufacturing performance measurement KPI. The relationships between TPM and other lean production methods may differ from those observed in this cross-sectional study. Longitudinal experimental studies and in-depth analyses of TPM implementations may shed further light on this.

Defining crucial success factors and barriers to TPM adoption, as well as identifying the weak and strong TPM pillars, will help companies in allocating their scarce resources exclusively to the most important areas. TPM is not a quick solution. It necessitates a change in both the company's and employees' attitude and their values, which takes time to bring about. Hence, it entails a long-term planning. The commitment of top managers is very important in the initiatives of TPM implementation.

This study is unique in that, it uses a new conceptual research model and the PLS-SEM technique to analyze relationships between TPM pillars and OEE in depth.