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Enterprise resource planning (ERP) consultants have the expertise required to understand the specific contextual needs of an ERP client, implement tailored business processes that meet those needs, and ensure that no potential benefit offered by the ERP remains unexplored by the client. However, conflicts between ERP clients and consultants are a significant source of non-benefit realisation, making managing client–consultant agency crucial to ERP post-implementation benefits realisation. This paper aims to elucidate how managing client–consultant agency affects the benefits derived from ERP systems.

This paper uses microfinance institutions in 15 sub-Saharan African countries to explore different paths through which managing client–consultant agency leads to benefit realisation in ERP projects. It uses partial least squares structural equation modelling to analyse data from 127 managers and explains the results using insights from agency theory and the information system (IS) success model.

This paper reveals three routes through which contractual agreements and conflict resolution strategies lead to benefits realisation in ERP projects.

This is the first study that attempts to provide quantitative evidence of how managing the complex relationship between ERP project stakeholders affects ERP project success. It also contributes a novel theoretical model for ERP benefits realisation to complement existing research on ERP agency issues, critical success factors, and benefits realisation.

This paper aims to propose a theoretical extension of the information system success model (ISSM) to evaluate enterprise resource planning (ERP) success at an organizational level in Jordan. It explores whether information quality, system quality and service quality have a positive impact on both perceived usefulness and user satisfaction as antecedents of organizational impact.

A questionnaire was undertaken to gather data from chief information officers among Jordanian firms, with a total of 134 valid returns tested via partial least squares structural equation modeling.

The results showed that most of the research hypotheses proposed are empirically supported, with the exception of the influence of service quality on user satisfaction which was extremely low.

To the best of the authors’ knowledge, this is the first empirical work that measured ERP success from an organizational perspective in Jordan. It also provides insight into how the factor of perceived usefulness is incorporated into ISSM in the mandatory system case and its influences on organizational benefits.

The purpose of this paper is to examine the factors that influence enterprise resource planning (ERP) effectiveness within the context of emergency service organizations. Drawing on information systems (IS) effectiveness, ERP implementation and job satisfaction literature, the authors posit that user involvement, top management involvement and training satisfaction are the antecedents to perceived job satisfaction, and perceived job satisfaction leads to ERP effectiveness in emergency service organizations.

Survey methodology is used for collecting data for this research, and the PLS-SEM technique is used for analysis.

Results indicate users will be more satisfied with their training if their inputs are taken into account during their training and the top management is actively involved during the training process. Further, if the users perceive that they are adequately trained, they will be more satisfied with their jobs in using ERP, which will also lead to more effective ERP usage in emergency service operations.

The focus of this study is on a single emergency service organization and thus may not be generalizable to other sectors. The authors extend ERP research to the context of emergency service organizations and thus add to the literature on ERP and emergency services. They conceptualize perceived job satisfaction to integrate roles, teamwork, supervisor and their perception regarding their potential to grow in the organization.

The managerial contribution of this research is to identify the motivational aspects and provide practical insights into the effective use of ERP systems for emergency service organizations. From a managerial perspective, the study provides a framework for both IS and emergency service providers/executives to understand and evaluate the factors that help them use ERP effectively in their firms.

This study extends the knowledge of ERP systems. While most of the ERP research focuses on implementation, the authors’ focus is on the effective use of ERP in emergency service organizations. They focus on identifying key factors that are important to using ERP effectively, specifically in emergency service organizations.

In a conventional sense, information technology has frequently been considered a source of Lean waste management. However, as the corporate world evolves, new models that provide a competitive edge by merging technical breakthroughs with the Lean paradigm must be developed. Enterprise resource planning (ERP), which is such technological advancement, is found to be highly influential for Lean implementation. However, there is a dearth of literature on the adaptability of ERP to minimise Lean waste in the construction industry. This paper, therefore, aims to investigate the possibility of applying ERP to minimise Lean waste in the construction industry.

The study used a qualitative approach, consisting of fifteen (15) expert interviews and code-based content analysis was used to analyse the empirical data.

The findings revealed the challenges faced when applying ERP with the Lean concept and the strategies that would help overcome the challenges. Most of the challenges could be overcome through training and awareness programmes and proper team management. The study also found that ERP could be applied with Lean to eliminate waste generation in the construction industry.

This paper contributes to the theory by providing an evaluation of the possibility of adopting ERP to eliminate Lean waste in the construction industry. The study will contribute to new knowledge related to strategies for proper use of ERP for Lean waste minimisation, which will be useful for future researchers in the area.

Researchers have long been interested in how the psychology of senior managers affects their behaviours. This paper aims to present the results of a questionnaire into how positive self-image influences how well senior managers in UK manufacturing organisations support the implementation of management information system (MIS). This study developed two scales, one to measure senior managers’ attitudes and the other to measure support of MIS implementation. It also sought to investigate the impact of senior managers’ positive self-image on their support of MIS implementation in UK manufacturing organisations.

The authors tested the hypotheses on a data set of 400 senior managers from UK manufacturing organisations. Two unidimensional scales to measure senior managers’ attitude and support level towards MIS implementation were developed. Exploratory factor analysis (EFA) was used to validate the scales. The study also examined the impact of senior managers’ positive self-image on their attitude and support from the perspective of UK manufacturing organisations by using structural equation modelling.

The study found that senior managers’ positive self-image is a significant contributing factor to their attitude. Also, senior managers’ attitude has a strong positive impact on their support in the MIS implementation process. A strong mediating relationship was found to exist between senior managers’ positive self-image and support through their attitude towards MIS implementation.

Although past literature has examined the importance of senior managers’ attitude and support in successful MIS implementation, there has been no specific scale around management support and attitude towards MIS implementation developed to date. Thus, a contribution of this study is its development of two new scales based on a survey of senior managers of UK manufacturing organisations. The scales can be used to evaluate senior managers’ perception towards MIS implementation and the support they are willing to give whilst implementing MIS. Another contribution of this study is the analysis of positive self-image via item-parcelling which improves model efficiency and provides more stable estimates of the construct.

A crucial question still remains unanswered as to whether data analytics-oriented business intelligence (hereafter, BI) technologies can bring organizational value and benefits. Thereby, several researchers called for further empirical research to extend the limited knowledge in this critical area. In an attempt to deal with this issue, we presented and tested a theoretical model to assess BI effectiveness at the organizational benefits level in this research article.

The suggested research model expands the application of the DeLone and McLean model in BI technology success or effectiveness research from individual level to organizational level. A cross-sectional survey is developed to obtain primary quantitative data from business and technology managers who are depending on BI technologies to make operational, technical and strategic decisions in Jordanian-listed firms.

Empirical findings show that system quality, information quality and training quality are significant predictors of user satisfaction, but not of perceived benefit. Data quality was found to be a strong predictor of both perceived benefit and user satisfaction. The influence of perceived benefit on user satisfaction was significant in turn both factors positively affect organizational benefits.

This research paper is a pioneering effort to assess BI technology effectiveness at an organizational level outside the context of developed countries. To the best of the authors’ knowledge, no prior research has combined all dimensions used in this research in one single model.

There is a growing importance of business intelligence systems (BIS) adoption in today’s digital economy age which is characterized by uncertainty and ambiguity considering the magnitude and influence of data-related issues to be solved in contemporary businesses. This study aims to investigate critical success factors that affect business intelligence efficiency based on the DeLone and McLean model in Jordanian banking industry.

A quantitative research method through a questionnaire was used to collect data from actual users who depend on business intelligence tools to make operational and strategic decisions in Jordanian banks. The data obtained were tested using the partial least squares–structural equation modeling approach.

The survey findings attest that system quality, information quality, user quality, user satisfaction and user performance are important factors and contribute to business intelligence efficiency in the Jordanian banking industry.

The findings gained from this work can help policymakers in Jordanian banks to improve the business intelligence success and organizational performance.

To the best of the authors’ knowledge, this study is the first of its kind to propose a theoretical model to assess drivers of BIS efficiency from the Jordanian banks’ perspective.

Despite the increasing role of the data warehouse as a supportive decision-making tool in today's business world, academic research for measuring its effectiveness has been lacking. This paucity of academic interest stimulated us to evaluate data warehousing effectiveness in the organizational context of Jordanian banks.

This paper develops a theoretical model specific to the data warehouse system domain that builds on the DeLone and McLean model. The model is empirically tested by means of structural equation modelling applying the partial least squares approach and using data collected in a survey questionnaire from 127 respondents at Jordanian banks.

Empirical data analysis supported that data quality, system quality, user satisfaction, individual benefits and organizational benefits have made strong contributions to data warehousing effectiveness in our organizational data context.

The results provide a better understanding of the data warehouse effectiveness and its importance in enabling the Jordanian banks to be competitive.

This study is indeed one of the first empirical attempts to measure data warehouse system effectiveness and the first of its kind in an emerging country such as Jordan.

This study aims to evaluate the Accounting Information Systems (AIS) effectiveness on the organizational level by extending DeLone and McLean success model in developing countries like Jordan. Unlike other studies, this study investigates the effects of system quality, information quality, process quality, collaboration quality, service quality, individual performance and workgroup performance toward organizational performance during the period of the COVID-19 pandemic outbreak.

A self-administrated survey was used to collect data from 104 accounting managers operating in listed Jordanian firms in the Amman Stock Exchange (ASE). The partial least squares-structural equation modeling method was used for data analysis.

Eight relationships were tested, whereby six were supported as was expected. Particularly, the empirical results reveal that individual performance is positively and significantly influenced by information quality, process quality and service quality. Furthermore, workgroup performance is positively and significantly influenced by individual performance. The results also show that organizational performance is impacted by individual performance and workgroup performance.

The current study is among the first empirical studies that has extended the information systems success model to evaluate AIS success during COVID-19 pandemic. This study also offers insights into the importance of AIS success among listed Jordanian firms in ASE.

This study aims to empirically examine accounting information system (AIS) success at the organizational level during COVID-19 era.

Based on the information system success model, this paper developed its model and proposed a total of nine hypotheses. This paper gathered the required data via a questionnaire from Yemeni small and medium enterprises (SMEs) owners and managers. To test the proposed research model paths, SmartPLS software, which is known as partial least squares structural equation modeling, was used.

The results showed that the quality dimensions (information quality and system quality) positively affected the use of AIS and satisfaction; user satisfaction positively affected the use of AIS. Management support positively affected the AIS users' usage and satisfaction. Finally, the use dimensions (user satisfaction and usage) positively impacted the net benefits in terms of gaining a competitive advantage, productivity enhancement and saving time and cost. In all, this research has succeeded in providing support for DeLone and McLean's IS success model at the organizational level during the COVID-19 era.

AIS is becoming increasingly important for SMEs in low-income countries like Yemen, particularly in the present pandemic conditions (COVID-19 era). By using AIS, users can access the enterprise's data and conduct transactions without being limited by distance. Indeed, AIS proved its ability in enhancing the net benefits at the organizational level in the COVID-19 era in terms of gaining a competitive advantage, productivity enhancement and saving time and cost. However, AIS can only be considered useful to the enterprise if it is effective/successful.

This study is one of the first to have assessed the impact of AIS success at the organizational level in the era of COVID-19 pandemic, the context of Yemeni SMEs.