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This study aims to investigate the effects of digital overload on job autonomy and job satisfaction among civil servants in the Nigerian public sector using the job demand–resources model.

A questionnaire survey was conducted among mid-career and senior-level officers in five federal ministries in Nigeria. The collected data were analyzed by using structural equation modeling partial least squares to test the research hypotheses and necessary condition analysis to assess the necessary conditions for high satisfaction among civil servants.

The study reveals that the use of information and communication technology (ICT) has a significant positive impact on digital overload. Furthermore, digital overload has a significant negative effect on job autonomy and adversely affects job satisfaction. Additionally, job autonomy partially mediates the relationship between digital overload and job satisfaction. Job autonomy and ICT use were found to be necessary conditions for high satisfaction.

The study acknowledges certain limitations, such as the focus on civil servants in federal ministries in Nigeria and the reliance on self-reported data.

The findings of this study have practical implications for policymakers in the Nigerian civil service. They highlight the importance of reducing digital overload and promoting job autonomy to enhance job satisfaction, as well as to improve the overall performance and efficiency of the public sector.

This study contributes to the existing literature by providing insights into the detrimental effects of digital overload on civil servants’ job autonomy and satisfaction in the Nigerian public sector. It explores a relatively unexplored aspect of digitalization and emphasizes the need to address the negative implications of digital overload. Additionally, it examines the necessary conditions for high satisfaction among civil servants.

This study aims to investigate the moderating role of natural language processing natural language processing (NLP) on the relationship between AI-empowered AIS (data gathering, data analysis, risk assessment, detection, prevention and Investigation) and auditing and fraud detection.

Quantitative methodology was adapted through a questionnaire. In total, 221 individuals represented the population of the study, and SPSS was used to screen primary data. The study indicated the acceptance of the hypothesis that “Artificial Intelligence in AIS has a statistically significant influence on auditing and fraud detection,” showing a strong correlation between auditing and fraud detection. The study concluded that NLP moderates the relationship between AI in AIS and auditing and fraud detection.

The study’s implications lie in its contribution to the development of theoretical models that explore the complementary attributes of AI and NLP in detecting financial fraud.

A cross-sectional design is a limitation.

NLP is a useful tool for developing more efficient methods for detecting fraudulent activities and audit risks.

The study’s originality stems from its focus on the use of AI-empowered AIS, a relatively new technology that has the potential to significantly impact auditing and fraud detection processes within the accounting field.

This paper reports on a project looking at consumer perceptions of terroir in the UK, using cheese as a stimulus for the data collection.

Data collection was based on a consumer survey using a discrete choice experiment which included a number of cues to, and stories about, terroir. Analysis of preferences produced three latent classes with varying attitudes towards terroir cues for cheese. There was also an open-ended question giving rise to a qualitative analysis of respondents understanding of the work “terroir”.

When faced with the terroir cues most used some positively to make their choices. A PDO label and stories about the production region and method and business structure all generally offered positive utility.

Terroir is a widely used term in the marketing of (especially) wine, particularly in Europe, offering a form of authenticity and has been very important in policies to sustain the economies of otherwise declining rural areas. It has been adopted by producers in the English-speaking world but is less widely recognised, by consumers. The significance of this study is that it is the first large-scale survey of British consumer perceptions around a key tool for rural businesses – terroir – and one of the first around a non-wine product, and it explores the stories which resonate most effectively with consumers.

This study aims to investigate the determinants of employees’ readiness to adapt to the change from the conventional banking system to the Islamic banking system in Libya. The determinants identified by this research include supervisors’ support, trust in leadership, participatory management, employees’ involvement in the change, the attitude of top management towards the change, openness towards the change and nature of change.

The study adopted a quantitative approach by using a self-administered questionnaire survey where a total of 482 sets of questionnaires were distributed manually of which 316 completed questionnaires were found to be usable. The structural equation modelling techniques were used to test and validate the proposed model.

Statistically, the study found that supervisor support, employees’ involvement in the change process and openness towards change showed significant relationships on employees’ readiness to perform their jobs in Libyan banks where the conventional financial system had been changed to the Islamic banking system. However, on the contrary, trust in leadership, participatory management and the attitude of top management towards the change process were found to have no significant relationship towards employees’ readiness. In addition, a significant moderation effect of the nature of change has been found on the relationship between openness to change and employees’ readiness for change.

Determinants of employees’ readiness for the transformation process identified in the present study can be used in assessing the employees’ readiness before implementing any change. In fact, openness and willingness towards change were found to be significant factors in employees’ readiness in the transformation process. Therefore, banks can use this information as one of the important criteria in recruiting employees. Open-minded and receptive attitudes towards change could be the quality of employees that banks should look for.

Overall, this study can be considered as novel because its findings will prompt other researchers to conduct and expand similar research in this field. Specifically, the findings of this research could facilitate the Central Bank of Libya in identifying their readiness gaps and organisational obstacles that stalled the move of conventional banks in Libya to migrate into the Islamic banking system.

The level of corruption in Nigeria is very high, and this has grossly reduced the desired confidence and trust in the nation’s political leaders and political institutions. It is even worse to the extent that many of its citizens, especially in the medical profession, lecturers and other specialties, are leaving the country altogether because they have already lost hope in the country called Nigeria. Therefore, the purpose of this study is to investigate how political trust in Nigeria is affected by perceived corruption and to ascertain how social media use functions in this relationship.

Because this study is quantitative in nature, a positivist research philosophy is being used. A cross-sectional research design was used in this study. 14.1 million voters in north-central Nigeria are the study’s population, and a sample size of 385 was determined through an online sample size calculator with a 2% margin of error and a 95% confidence interval. The population was divided into smaller units for the study, and samples were selected from each unit using multistage sampling and simple random sampling techniques. An online self-administered questionnaire was used through the various social media’s platforms because of the nature of the study’s population to collect data. To examine the gathered data, descriptive and inferential statistics were applied. While inferential statistics were used to test the hypotheses through partial least squares structural equation modeling, descriptive statistics were used to analyze the respondents’ demographic data via a frequency table.

This study’s findings showed that social media use mediates the relationship between perceived corruption and political trust in Nigeria and that perceived corruption positively and significantly affects political trust in Nigeria.

This study is not without its limitations. Therefore, the few limitations of the study range from the limited sample sample to the population of Nigeria. Also, using only the quantitative research method for the nature of this research is another major limitation of the study. And lastly, using one out of the six zones in Nigeria will make it difficult to generalize the findings of the study. However, it is then recommended that future researchers consider a larger population than the current study for proper coverage; the future study can also use both the quantitative and qualitative research methods.

The practical implications of understanding how social media shapes political trust among political leaders through the lens of perceived corruption in the Nigerian political system are dimensional and have implications for various stakeholders, including policymakers, political leaders, media professionals and the general public. First, for policymakers and political leaders, the findings offer insights into the importance of proactive and transparent communication on social media. Recognizing the impact of social media on shaping perceptions of corruption, political figures such as the office of the presidency, senators, governors and all other political office holders can leverage these platforms to engage people.

This study is innovative because it examines, through the lens of perceived corruption, how social media use influences political trust among political leaders. This approach provides a new look at the relationship between digital engagement and political attitudes.

There are two main objectives in this study. First, we aim to develop a set of constructs for health task management support (HTMS) features to evaluate which health-related tasks are supported by mobile health application (mHealth app) functions. Second, drawing on innovation resistance theory (IRT), we examine the impacts of the newly developed HTMS dimensions on perceived usefulness, alongside other barrier factors contributing to technology anxiety.

Using a mixed-method research design, this research seeks to develop new measurement scales that reflect how mHealth apps support older adults’ health-related needs based on interviews. Subsequently, data were collected from older adults and exploratory factor analysis was used to confirm the validity of the new scales. Partial least squares structural equation modeling (PLS-SEM) was used to analyze survey data from 602 older adults.

The PLS-SEM results indicated that medical management task support, dietary task support, and exercise task support were positively associated with perceived usefulness, while perceived complexity and dispositional resistance to change were identified as antecedents of technology anxiety. Perceived usefulness and technology anxiety were found to positively and negatively influence adoption intention, respectively.

This study enriches the information systems literature by developing a multidimensional construct that delineates how older adults’ health-related needs can be supported by features of mHealth apps. Drawing on IRT, we complement the existing literature on resistance to innovation by systematically examining the impact of five types of barriers on technology anxiety.

Due to the constantly increasing competitiveness along with the complexity of knowledge, firms perceive collaboration as a key strategy that preserves firms' radical innovation performance. In this context, this paper aims to examine how firms’ partners’ diversity in open innovation activities influences the development of radical innovations, critical for social development. In particular, this study analyzes how the functional and geographical breadth of the firm’s collaboration portfolio affects its radical innovation performance. Furthermore, it also explores the role of firm size as a moderator in the relationships proposed.

This research employs panel data analysis, using a sample of 4,677 Spanish firms, with data sourced from the PITEC database.

The results of this study show that there is an inverted U-shaped relationship between the functional and the geographical breadth of collaborations and the firms’ radical innovation performance. Moreover, this study finds partial support for the moderating role of firm size, in the sense that small and medium-sized enterprises (SMEs) and large firms vary in their optimal number of diversity of partners.

This research provides a better understanding on how partners’ functional and geographical diversity, along with organizational characteristics such as firm size, affect how firms benefit from collaboration for innovation. This study shows that both SMEs and large firms experience diminishing returns when their collaboration networks become overly diverse in pursuit of radical innovation, due to increased costs. However, in SMEs, the turning point occurs at a later stage, consistent with the idea that small firms need broader functional networks to access complementary and novel resources they usually lack.

The purpose of this study is to examine institutional quality’s absorptive capacity in African countries’ remittances-finance nexus.

A balanced panel data set of thirty African countries between 2000 and 2022 is used for the study. The study adopts an augmented mean group (AMG), method of moment quantile regression (MMQR) and two-step system generalized method of moment (2SGMM) as the estimation techniques due to the nature of the data set.

The findings of the direct effect reveal that remittances do not constitute the growth of financial development, while institutional quality promotes the growth of financial development in the long. The moderating effect of institutional quality in the linkages shows that the interactive term of institutional quality and remittances has a significant positive effect on financial development in the region. Hence, institutional quality moderates the impact of remittances. These results are robust to different proxies of financial development and estimates obtained from MMQR and 2SGMM.

This study, therefore, suggests that institutional quality is essential in the linkages between remittances and financial development. Hence, remittances should be seen as one of the instruments that can be used to develop the financial sector rather than survival mechanisms for households.

This study contributes to the literature by unearthing the absorptive capacity of institutional quality in the nexus between remittances and financial development in African countries, which extant studies have neglected.

This study aims to investigate the efficacy of Ag@GO/Na₂SiO₃ nanocomposite in eliminating As from aqueous solutions. Employing response surface methodology, the research systematically examines the adsorption process.

Various experimental parameters including sample pH, contact time, As concentration and adsorbent dosage are optimized to enhance the As removal process.

Under optimized conditions, the initial As concentration, contact time, pH and adsorbent dosage are determined to be 32 ppm, 50 mins, 6.5 and 0.4 grams, respectively. While the projected removal of As stands at 97.6% under these conditions, practical application achieves a 93% removal rate. Pareto analysis identifies the order of significance among factors as follows: adsorbent dosage > contact time > pH > As concentration.

This study highlights the potential Ag@GO/Na₂SiO₃ as a promising adsorbent for efficiently removing industrial As from aqueous solutions, and it is likely to have a good sufficiency in the filtration of water and wastewater treatment plans to remove some chemical pollution, including paints and heavy metals.

The simplicity of the nanocomposite preparation method without the need for advanced equipment and the cheapness of the raw materials and its potential ability to remove As are the prominent advantages of this research.

Today, many industries are implementing creative approaches in response to increasing environmental awareness. It is of great importance to answer the question of whether the military sector, one of the most important sectors, can support renewable energy (RE) adaptation. This study aims to examine how military spending affects the supply of RE in 27 Organization for Economic Cooperation and Development (OECD) nations as well as the regulatory function of factors such as innovation, international trade and oil prices between 1990 and 2021.

The study examines the effects of military spending, income, green innovation, international trade, oil prices and the human development index on the supply of RE using various econometric approaches, which are the cointegration test, moments quantile regression and robustness test.

The findings demonstrate that all factors, excluding military spending, quite likely affect the expansion of the renewable supply. Military spending negatively influences the RE supply; specifically, a 1% increase in military spending results in a 0.88 reduction in the renewable supply. In addition, whereas income elasticity, trade and human development index in OECD nations are higher in the last quantiles of the regression than in the first quantiles, the influence of military spending and innovation on renewable supply is about the same in all quantiles.

OECD nations must consider the practical implications, which are essential to assess and update the military spending of OECD countries from a green energy perspective to transition to clean energy. Based on the study’s overall findings, the OECD countries should incorporate the advantages of innovation, economic growth and international trade into their clean energy transition strategies to lessen the impact of military spending on renewables.

The study aims to fill a gap in the literature regarding the role of military expenditures in the RE development of an OECD country. In addition, the results of the methodological analysis can be used to guide policymakers on how military spending should be in the field of RE.