IT-Enabled Organizational Transformations To Achieve Business Agility

There has been increasing attention on organizational dynamic capabilities as the driving forces of superior firm performance in today’s turbulent business environment.  The objective of this study is to develop a theoretical perspective that explains how firms achieve business agility from their deployment and utilization of information technologies (IT).  Drawing upon the organizational learning literature, the study distinguishes two distinctive modes of organizational IT management, i.e., IT exploration and IT exploitation.  The internal processes of agility creation from the two modes of IT management activities are explained drawing upon IT-enabled organizational transformations, either through disruptive or incremental innovations.  Firm’s strategic posture and environment conditions are also considered as factors affecting these transformational processes

Identifying Risks in IT Projects for Developing Economies

The emergence of information technology (IT) projects for developing economies is becoming a trend, as developing economies are striving to achieve modernization and industrialization. The IT project environment in developing economies is complex and susceptible to the economies\u27 unique social, cultural, political, and financial contexts. This study proposes a framework for identifying the risks involved in IT projects for developing economies. For this, the study identifies unique characteristics of project management in the context of developing economies, which involve a broader stakeholder group, lack of precedence, infrastructural limitations, and cultural uniqueness. The study discusses how these characteristics shape project risk factors in terms of both internal (people, process, and technology) and environmental (legal and natural) elements of an IT project

What are the Concerns of Using a Ride-Sharing Service?: An Investigation of Uber

This study investigates why people do or do not use a ride-sharing service (RSS). We investigate users’ perceptions on three main concerns (security, safety, and surcharge justification), and their relationship to the actual usage of a RSS. We also propose two internal mechanisms (reference systems and policy changes) influencing the main factors of RSS use. We used Uber as a target RSS and gathered preliminary survey data. Our results reveal that safety is a significant factor for RSS use, and policy changes can reduce the effect of surcharge justification on RSS use. These preliminary findings support our arguments on the concerns of RSS use. This research in progress will be theoretically and empirically extended in the near future

A Conceptual Framework to Discover IT Project Risks in Developing Economies: An Application to Cambodia and Uganda Contexts

Background: The information technology (IT) project environment in developing economies is complex and dynamic due to their unique social, technological, cultural, and political contexts. However, the unique risk factors involved in IT projects in developing economies have seldom been discussed in the literature. This study proposes a conceptual framework for identifying risks in IT projects by considering the unique characteristics of project management in developing economies. Method: 17 project cases were examined via a series of expert interviews in Cambodia and Uganda. The interview results were coded into a total of 257 risk incidents, which were used to validate the proposed framework. Particularly, the risk incidents of each economy were matched with 16 risk categories under the proposed framework. The matched results were conceptualized into unique risk factors of each economy. Results: Our results reveal that the most critical risks in both economies involve the lack of structured and standardized project management (PM) processes, and misunderstanding and poor decision-making due to the lack of project experience and technical knowledge in local stakeholders. In addition to these shared risk factors, the two economies show distinct risk granularities. Particularly, IT projects in Cambodia are more vulnerable to cultural uniqueness while IT projects in Uganda suffer more with complex stakeholder structures. Conclusions: The proposed framework serves as guidance to identify IT project risks in developing economies. Furthermore, the identified risk factors using the framework proposed by this study help project managers or stakeholders recognize and mitigate the unique IT project risk factors in the two developing economies. Available at: https://aisel.aisnet.org/pajais/vol12/iss3/1

Deconstructing Review Deception: A Study on Counterfactual Explanation and XAI in Detecting Fake and GPT-Generated Reviews

Our models not only deliver high-performing predictions but also illuminate the decision-making processes underlying these predictions. By experimenting with five datasets, we have showcased our framework\u27s prowess in generating diverse and specific counterfactuals, thereby enhancing deception detection capabilities and supporting review authenticity assessments. The results demonstrate the significant contribution of our research in furthering the understanding of AI-generated review detection and, more broadly, AI interpretability. Experimentation on five datasets reveals our framework\u27s ability to produce diverse and specific counterfactuals, significantly enriching deception detection capabilities and facilitating the evaluation of review authenticity. Our robust model offers a novel contribution to the understanding of AI applications, marking a significant step forward in both the detection of deceptive reviews and the broader field of AI interpretability

The Effects and Influential Factors of Employee’s Knowledge Integration Capability in the Convergence Environment

Knowledge integration is becoming a primary function of improving organizational capabilities and performance in today’s convergence environment in which the integration of individual knowledge is the source of organizational knowledge creation for new product and service development. This study investigates the influential factors of employee’s knowledge integration capability and its effects. A theoretical research model was developed based on knowledge creation, socio-technical, and information processing perspectives. In particular, the model proposes a positive relationship between the knowledge integration capability of employees and their knowledge creation output. The model also includes organic organizational structure, teamwork quality, expertise, IT support, and knowledge complexity as the influential factors of an employee’s knowledge integration capability. A large-scale survey was conducted for data gathering (a total of 316 samples from 141 organizations) to test the proposed model. The analysis results of the hypotheses test show that expertise and knowledge complexity are the significant influential factors of employee’s knowledge integration capability. In turn, this capability has a positive effect on the knowledge creation output of employees. The results of this study will contribute to the development of initiatives for promoting knowledge integration in the development processes of convergence products and services

Business Intelligence Capabilities as Facilitators to Achieve Organizational Agility

Today’s business environment is characterized by fast and unexpected changes, many of which are driven by technological advancement. In such environment, the ability to respond effectively and adapt to the new requirements is not only desirable but essential to survive. Comprehensive and quick understanding of intricacies of market changes facilitates firm’s faster and better response. Two concepts contribute to the success of this scenario; organizational agility and business intelligence (BI). As of today, despite BI’s capabilities to foster organizational agility and consequently improve organizational performance, a clear link between BI and organizational agility has not been established. In this paper we argue that BI solutions have the potential to be facilitators for achieving agility. We aim at showing how BI capabilities can help achieve agility at operational, portfolio, and strategic levels

Can We Trust an AI Agent? Interaction Effects of Its Machine Learning Performance and Digital Character

AI-powered digital characters, AI agents, are expanding their scope of application to various fields. However, research on the key factors influencing consumer attitude is insufficient. This experimental study focuses on machine learning (ML) performance (i.e., the behavioral (intelligence) realism of AI agents), which determines users’ trust. This study further investigates the interaction role of the different forms of digital character (i.e., the form realism of AI agents) in the relationship between ML performance and trust. The findings of this study provide a novel understanding of human-AI interaction, expand academic understanding of AI anthropomorphism, and suggest new research directions for digital humans. The results will also guide business practitioners in developing AI services