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The purpose of this paper is to propose an enterprise resource planning (ERP) implementation model based on the agency theory and the Delone and McLean information systems (IS) success model. This paper answers two major research questions: (i) how does client–consultant interaction affect the outcome of ERP implementation projects; and (ii) how can this interaction be managed effectively to ensure successful project outcomes?

An electronic banking institution in Africa was used to conduct a case study research and examine the validity of the proposed conceptual framework.

Based on the constructs of the conceptual framework, the study found that client–consultant relationships/interactions mediate the effect of human, organizational, and technological critical success factors (CSFs) on information quality, service quality, and information quality. Agency conflicts in client–consultant relationships can be managed using outcome incentive-based contracts and a conflict management committee.

This is a single case study research. Thus, despite its analytical validity and generalizability, there is a need for more studies on the statistical validity of the model in other contexts.

This paper provides practical information needed to manage conflicts between clients and consultants, as well as factors that must be considered in order to keep the interest of both parties aligned.

No research has been conducted on how to manage client–consultant interactions and related conflicts in ERP implementation projects. This study fills this gap using a well-established theoretical foundation to propose a conceptual framework that would guide and drive further discussions on the topic. This is also one of the few studies in the context of developing countries.

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.

The current evolution of artificial intelligence (AI) practices and applications is creating a disconnection between modern-day information system (IS) research and practices. The purpose of this study is to propose a classification framework that connects the IS discipline to contemporary AI practices.

We conducted a review of practitioner literature to derive our framework's key dimensions. We reviewed 103 documents on AI published by 25 leading technology companies ranked in the 2019 list of Fortune 500 companies. After that, we reviewed and classified 110 information system (IS) publications on AI using our proposed framework to demonstrate its ability to classify IS research on AI and reveal relevant research gaps.

Practitioners have adopted different definitional perspectives of AI (field of study, concept, ability, system), explaining the differences in the development, implementation and expectations from AI experienced today. All these perspectives suggest that perception, comprehension, action and learning are the four capabilities AI artifacts must possess. However, leading IS journals have mostly published research adopting the “AI as an ability” perspective of AI with limited theoretical and empirical studies on AI adoption, use and impact.

First, the framework is based on the perceptions of AI by a limited number of companies, although it includes all the companies leading current AI practices. Secondly, the IS literature reviewed is limited to a handful of journals. Thus, the conclusions may not be generalizable. However, they remain true for the articles reviewed, and they all come from well-respected IS journals.

This is the first study to consider the practitioner's AI perspective in designing a conceptual framework for AI research classification. The proposed framework and research agenda are used to show how IS could become a reference discipline in contemporary AI research.

This paper seeks to examine how expectations from business analytics (BA) by members of agile information systems development (ISD) teams affect their perceptions and continuous use of BA in ISD projects.

Data was collected from 153 respondents working in agile ISD projects and analysed using partial least squares structural equation modelling techniques (PLS-SEM).

Perceived usefulness and technological compatibility are the most salient factors that affect BA continuance intention in agile ISD projects. The proposed model explains 48.4% of the variance for BA continuance intention, 50.6% of the variance in satisfaction, 36.7% of the variance in perceived usefulness and 31.9% of the variance in technological compatibility.

First, this study advances understanding of the factors that affect the continuous use of BA in agile ISD projects; second, it contextualizes the expectation-confirmation model by integrating technological compatibility in the context of agile ISD projects.

This is the first study to investigate BA continuance intention from an employee perspective in the context of agile ISD projects.

This study aims to identify and explore different risk typologies associated with consumer acceptance of purchase recommendations from voice assistants (VAs).

Drawing on components of perceived risk, consumer trust theory, and consumption value theory, a research model was proposed and tested using structural equation modeling (SEM) with data from 482 voice shoppers.

The results reveal that, unlike risks associated with physical harm, privacy breaches, and security threats, a variety of other concerns—including financial, psychological, social, performance-related risks, time loss, and the overall perceived risks—significantly influence consumers' willingness to accept VAs purchase recommendations. The effect is mediated by trust in VA purchase recommendations and their perceived value. Different types of risk affect various consumption values, with functional value being the most influential. The model explains 58.6% of the variance in purchase recommendation acceptance and significantly elucidates the variance in all consumption values.

This study contributes crucial knowledge to understanding consumer decision-making processes as they increasingly leverage AI-powered voice-based dialogue platforms for online purchasing. It emphasizes recognizing diverse risk typologies associated with VA purchase recommendations and their impact on consumer purchase behavior. The findings offer insights for marketing managers seeking to navigate the challenges posed by consumers' perceived risks while leveraging VAs as an integral component of modern shopping environments.