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Digital transformations of business processes are on the rise and the result is a need for a better understanding of how the elements of intellectual capital (IC) play a role in achieving successful digital project outcomes. New structural capital in the form of digital technologies must be identified and understood. Evolving skills of human capital in assimilating digital elements must also be considered, while collaboration within the development process involving relational capital provides a critical integration among these IC elements. This study illustrates the importance of identifying and managing the integration of IC components within an agile project management framework that are essential to achieving success for a digital initiative. More specifically, this study describes the process by which a multinational technology-based products company successfully developed a dynamic decision support platform utilizing an agile approach to guide a project management team to better manage the company's operations.

This study focuses on a case analysis approach of a multinational commercial and consumer products company. The paper presents existing research on the evolving state of project management for digital initiatives and focuses on agile methods. This study then delves into the case analysis that illustrates how IC played an integral role in the company successfully developing effective decision support involving an interactive dashboard using agile Project Management (PM), which enabled the project management team to better manage resources.

An examination at the case level illustrates that effective management and integration of IC has positive effects on project outcomes. While a balanced approach is evident as a requirement, the unique characteristics of the agile project management approach entails greater emphasis on select elements to adapt to a more dynamic development process.

This work depicts the complexities in providing analytic-based decision support in an agile/flexible project management scenario. This work adds to existing research by illustrating elements within IC categories and the elements' interdependencies that play an essential role in achieving success in this more flexible project environment.

Industry 4.0 is a promising concept that allows industries to meet customers’ demands with flexible and resilient processes, and highly personalised products. This concept is made up of different dimensions. For a long time, innovative digital technology has been thought of as the only dimension to succeed in digital transformation projects. Other dimensions have been identified such as organisation, strategy, and human resources as key while rolling out digital technology in factories. From these findings, researchers have designed industry 4.0 theoretical models and then built readiness models that allow for analysing the gap between the company initial situation and the theoretical model. Nevertheless, this purely deductive approach does not take into consideration a company’s background and context, and eventually favours one single digital transformation model. This article aims at analysing four actual digital transformation projects and demonstrating that the digital transformation’s success or failure depends on the combination of two variables related to a company’s background and context. This research is based on a double approach: deductive and inductive. First, a literature review has been carried out to define industry 4.0 concept and its main dimensions and digital transformation success factors, as well as barriers, have been investigated. Second, a qualitative survey has been designed to study in-depth four actual industry digital transformation projects, their genesis as well as their execution, to analyse the key variables in succeeding or failing. 46 semi-structured interviews were carried out with projects’ members; interviews have been analysed with thematic content analysis. Then, each digital transformation project has been modelled regarding the key variables and analysed with regards to succeeding or failing. Investigated projects have consolidated the models of digital transformation. Finally, nine digital transformation types have been identified.

The aim of this paper is to investigate the needs of lecturers and learners for digital scholarship services (DSS) and to suggest recommendations for the development of DSS at Vietnam National University Ho Chi Minh City (VNU-HCM).

The research employed a mixed method approach, comprising a paper questionnaire with 360 respondents to collect quantitative data and in-depth interviews with 18 participants, including lecturers (L), postgraduate students (P), and undergraduate students (U), to gather qualitative data.

The findings indicate that lecturers and students have diverse needs for various DSS services, with digital information resources and institutional repositories being the most common, followed by new and workable digital technology infrastructure, training courses in using digital tools and methods, and ongoing advice and support at different stages of the research process.

The limitations of this study indicate that further research is necessary to obtain a more comprehensive understanding of the DSS needs in higher education institutions in Vietnam of various sizes and characteristics.

This research provides a practical basis for the development and provision of appropriate support to the development of DSS at VNU-HCM.

The originality of this paper and its value lies in the contribution to the understanding of the needs of DSS in a context of the digital transformation and the improvement of the quality of education and research in the higher education sector in Vietnam.

In recent years, there has been a growing interest in the potential of data analytics to enhance project delivery. Yet many argue that its application in projects is still lagging behind other disciplines. This paper aims to provide a review of the current use of data analytics in project delivery encompassing both academic research and practice to accelerate current understanding and use this to formulate questions and goals for future research.

We propose to achieve the research aim through the creation of a systematic review of the status of data analytics in project delivery. Fusing the methodology of integrative literature review with a recently established practice to include both white and grey literature amounts to an approach tailored to the state of the domain. It serves to delineate a research agenda informed by current developments in both academic research and industrial practice.

The literature review reveals a dearth of work in both academic research and practice relating to data analytics in project delivery and characterises this situation as having “more gap than knowledge.” Some work does exist in the application of machine learning to predicting project delivery though this is restricted to disparate, single context studies that do not reach extendible findings on algorithm selection or key predictive characteristics. Grey literature addresses the potential benefits of data analytics in project delivery but in a manner reliant on “thought-experiments” and devoid of empirical examples.

Based on the review we articulate a research agenda to create knowledge fundamental to the effective use of data analytics in project delivery. This is structured around the functional framework devised by this investigation and highlights both organisational and data analytic challenges. Specifically, we express this structure in the form of an “onion-skin” model for conceptual structuring of data analytics in projects. We conclude with a discussion about if and how today’s project studies research community can respond to the totality of these challenges. This paper provides a blueprint for a bridge connecting data analytics and project management.

With almost 95% of employers in the tech space experiencing a skills shortage, it is vital that IT consultants act now to futureproof their own skillsets to ensure they can provide business support services in the future. This paper aims to outline precisely how consulting businesses can overcome this industry challenge.

The author draws on his first-hand industry experience and third-party research to highlight how IT consultancy firms can futureproof operations and safeguard against major skills shortages.

During the course of research, three key industry challenges were uncovered and addressed. These provide the basis of the paper and focus on intelligent automation to transform operations, the reallocation of resources to support hybrid working and evergreen cloud automation supported by Managed Services Providers to mitigate against cybersecurity risk.

This paper aims to guide IT consulting businesses seeking to counteract industry challenges by ensuring a strong digital infrastructure. The desired outcome of this paper is to encourage businesses to take the necessary next steps to become digitally mature enough to bridge the skills divide.

This paper comes during a period when businesses are being negatively impacted by supply chain shortages and economic downturn, as well as skill shortages. It provides a digestible checklist of the support that comes from a strong digital backbone and how this will help IT consulting businesses address the future of work challenges today.

The purpose of this paper is to analyse the current state of research on the integration of blockchain and building information modelling (BIM) in the Architecture, Engineering, Construction and Operations (AECO) industry as a means of identifying gaps between the existing paradigm and practical applications for determining future research directions and improving the industry. The study aims to provide clear guidance on areas that need attention for further research and funding and to draw academic attention to factors beyond the technical dimension.

A mixed-method systematic review is used, considering multiple literature types and using a sociotechnical perspective-based framework that covers three dimensions (technic, process and context) and three research elements (why, what and how). Data are retrieved and analysed from the Web of Science and Scopus databases for the 2017–2023 period.

While blockchain has the potential to address security, traceability and transparency and complement the system by integrating supporting applications, significant gaps still exist between these potentials and widespread industry adoption. Current limitations and further research needs are identified, including designing fully integrated prototypes, empirical research to identify operational processes, testing and analysing operational-level models or applications and developing and applying a technology acceptance model for the integration paradigm. Previous research lacks contextual settings, real-world tests or empirical investigations and is primarily conceptual.

This paper provides a comprehensive, critical systematic review of the integration of blockchain with BIM in the construction industry, using a sociotechnical perspective-based framework which can be applied in future reviews. The study provides insight into the current state and future opportunities for policymakers and practitioners in the AECO industry to prepare for the transition in this disruptive paradigm. It also provides a phased plan along with a clear direction for the transition to more advanced applications.

This paper aims to understand and document evaluation criteria used in the new product development (NPD) process of small- and medium-sized enterprises (SMEs) to support the management and control of their NPD projects.

This study combines exploratory and explanatory methodology (case studies) involving five Canadian small and medium enterprises (SMEs) that are successful in NPD. The authors conducted semi-structured interviews with nine selected managers and project managers to explore the process and evaluation criteria used to manage and control NPD projects.

The results highlight that cost, time and quality are key evaluation criteria used by SMEs to make decisions relative to the NPD project's success. Profitability, return on investment, expected sales and customer satisfaction are additional criteria used to evaluate NPD project's success. It has been also found that the SMEs did not consider sustainability issues in the criteria used as their focus are on the needs of stakeholders, mainly customers.

Limitations: The evaluation criteria are extracted from a limited number of SMEs that have successfully carried out NPD projects and may therefore be influenced by some contextual factors. The results cannot be generalized to all SMEs or to all projects, as their characteristics may differ. Implications: This study offers a novel outlook on NPD process in SMEs, by documenting criteria related to constraints in project management. The integration of theory of constraints contributes to increasing theoretical knowledge about the management and control of NPD projects in SMEs. It provides insight into how project managers (and other decision makers) can increase the chances of project success by managing project constraints and criteria.

The evaluation criteria identified in this study can therefore be of use to SMEs managers and project leaders seeking to improve the management and control of their NPD projects. These criteria can help them better manage their limited resources and skills and allocate them to the most promising projects. They can also help them conduct their NPD process more efficiently to achieve the intended objectives, including the desired project profitability targets.

This paper offers new insight and practical implications about evaluation criteria within the stages and activities of the NPD process that needed to be considered by SMEs' managers involved in NPD projects.

This study has conducted exploratory research to understand who should comprise the members of a resilient supply chain for promoting an entrepreneurial ecosystem of a startup project and to determine the mechanisms for the balanced coexistence of all stakeholders. This is necessary to ensure mutual benefits for all stakeholders, each of whom has multidimensional interests. Additionally, this supply chain must be able to withstand any potential disruption risks.

This research has employed a mixed-design approach. In this context, the study conducted an extensive qualitative and quantitative investigation, including 30 interviews and a survey involving 180 potential stakeholders in this supply network, respectively in the capital city of Bangladesh, Dhaka. The analysis of the interviews utilized principles of matrix thinking, while structural equation modeling (SEM) through LISREL was employed to understand cause-and-effect relationships.

Network, platform and governance—these three independent constructs have the potential to contribute to the dependent construct, a resilient supply chain, aimed at promoting an entrepreneurial ecosystem for startup projects. It has been revealed that the management of such projects depends on the rules and regulations within the ecosystem. An excellent governance mechanism is essential for this purpose. To facilitate coexistence, the establishment of a platform is crucial, where cooperation among all members is mandatory.

For practitioners, three distinctive but closely interdependent issues are explored and resolved in this philanthropic study. It has unfolded the elements of any startup project with essential settings.

The identification of the structural dynamics of potential stakeholders within the entrepreneurial ecosystem of startups is largely absent in existing literature. Therefore, there is a need to comprehensively investigate the entire network, including their roles, responsibilities and associations. This study makes a significant and novel contribution to the existing literature. Academics and practitioners alike have ample opportunities to learn from this new aspect of relationships across three distinct areas: the entrepreneurial ecosystem, startup projects and the development of a resilient supply chain.

Managerial practices are essential in the success of information technology (IT) projects of digital transformation (DT). However, the literature has not yet specified all these managerial practices. This study aims to address this gap by investigating the influence of change management on the success of IT projects of DT. Additionally, the author examines the consequences on SMEs in the economic context of the Democratic Republic of the Congo (DRC).

This study draws on a research model that elucidates aspects of the resource-based view (RBV) framework, notably the transformation of human resources based on change management. This model demonstrates the relationship between change management, DT and IT project success, which facilitates the performance and resilience of SMEs. To empirically validate and test the developed research model, we gathered 299 responses from SME managers in the DRC through cross-sectional data collection using a structured questionnaire. The author performed statistical analyses using variance-based structural equation modeling (PLS-SEM) with the help of SmartPLS 3.0.

This paper reveals how SME managers can succeed in DT projects with the change management of human resources. Furthermore, it establishes that the success of IT projects of DT is an essential for enhancing the performance and resilience of SMEs in the DRC.

This study contributes to the information systems (IS) literature on developing countries by highlighting the DRC context. Little research deals with the success factors of DT projects and their organizational impact on SMEs in developing countries. This study thus enriches the IS literature by filling this void.

The current scenario is dominated by an urgent need for economic recovery caused by the global health emergency that has been at work since January 2020. Digital transformation plays a crucial role in bringing about this recovery. However, the failure rate of digital transformation projects over the last 10 years is very high. Considering the growing demand for digital transformation from businesses, the digital transformation failure rate, if unchanged, could lead to an exponential growth in technical debt. Technical debt is acquired when the digital transformation to be deployed at a business fails. The accumulation of technical debt will lead not only to economic stalemate but possibly also to yet another setback.

The developed set of methodologies form what has been termed the Digital Transformation Governance Engineering Process (DTGEP). This process can help any business wishing to undertake a digital transformation project to materialize their project in a sustainable, productive and competitive way.

DTGEP prevents the generation of technical debt because organizational knowledge is aligned with the technological solution that best suits the needs of each business in order to support its strategic or business objectives.

DTGEP has already been used to successfully discover the relationship between business features and the prospective digital transformation. However, it needs to be applied in case studies on many other businesses across the economy in order to gather more accurate information that could be clustered by sectors.

DTGEP was tested on a set of 25 projects, and this paper reports several interesting findings regarding its use, like the impact of the digital transformation on different parts of the business model canvas (BMC) and the intellectual capital of the organization developing the digital transformation, and how the status of the organization's intangible assets affects the decision-making process with respect to the prospective digital transformation.