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Supply chains need to be made viable in this volatile and competitive market, which could be possible through digitalization. This study is an attempt to explore the role of Industry 4.0, smart supply chain, supply chain agility and supply chain resilience on sustainable business performance from the lens of natural resource-based view.

The study tests the proposed model using a covariance-based structural equation modelling and further investigates the ranking of each construct using the artificial neural networks approach in AMOS and SPSS respectively. A total of 234 respondents selected using purposive sampling aided in capturing the industry practices across supply chains in the UK. The full collinearity test was carried out to study the common method bias and the content validity was carried out using the item content validity index and scale content validity index. The convergent and discriminant validity of the constructs and mediation study was carried out in SPSS and AMOS V.23.

The results are overtly inferring the significant impact of Industry 4.0 practices on creating smart and ultimately sustainable supply chains. A partial relationship is established between Industry 4.0 and supply chain agility through a smart supply chain. This work empirically reinstates the combined significance of green practices, Industry 4.0, smart supply chain, supply chain agility and supply chain resilience on sustainable business value. The study also uses the ANN approach to determine the relative importance of each significant variable found in SEM analysis. ANN determines the ranking among the significant variables, i.e. supply chain resilience > green practices > Industry 4.0> smart supply chain > supply chain agility presented in descending order.

This study is a novel attempt to establish the role of digitalization in SCs for attaining sustainable business value, providing empirical support to the mediating role of supply chain agility, supply chain resilience and smart supply chain and manifests a significant integrated framework. This work reinforces the integrated model that combines all the constructs dealt with in silos so far in prior literature.

This paper aims to describe the students’ experience in adopting design thinking (DT) and extreme programming (XP) throughout a course of technology innovation workshop in a master of business administration (MBA) degree program.

This study analyzes data (performed process and achieved results) from the students’ reports and the instructor’s observations about three courses held in 2016, 2017 and 2018. In each course, there were students conducting activities to understand, develop, and validate the market, customer, user and prototype.

This paper identifies that the processes of DT and XP promote active and collaborative learning relationships. The adopted activities along with a mix of different backgrounds from the students can promote good insights to understand the user problem and build a technological solution with incremental innovation.

This paper describes only a unique view from the instructor’s knowledge; therefore, others might present different scenarios and results.

The paper contributes to the characterization of DT and XP activities when teaching technological innovation in a MBA.

Each individual needs to be vaccinated to control the spread of the COVID-19 pandemic in the shortest possible time. However, the vaccine distribution with an already strained supply chain in low- and middle-income countries (LMICs) will not be effective enough to vaccinate all the population in stipulated time. The purpose of this paper is to show that there is a need to revolutionize the vaccine supply chain (VSC) by overcoming the challenges of sustainable vaccine distribution.

An integrated lean, agile and green (LAG) framework is proposed to overcome the challenges of the sustainable vaccine supply chain (SVSC). A hybrid best worst method (BWM)–Measurement of Alternatives and Ranking According to COmpromise Solution (MARCOS) methodology is designed to analyze the challenges and solutions.

The analysis shows that vaccine wastage is the most critical challenge for SVSC, and the coordination among stakeholders is the most significant solution followed by effective management support.

The result of the analysis can help the health care organizations (HCOs) to manage the VSC. The effective vaccination in stipulated time will help control the further spread of the virus, which will result in the normalcy of business and availability of livelihood for millions of people.

To the best of the author's knowledge, this is the first study to explore sustainability in VSC by considering the environmental and social impact of vaccination. The LAG-based framework is also a new approach in VSC to find the solution for existing challenges.

The purpose of this research is to develop a better understanding of the hurdles in implementing Lean Six Sigma (LSS) for operational excellence in digital emerging technology companies.

We have conducted case studies of LSS implementations in six US-based companies in the digital emerging technology industry.

Critical success factors (CSF) for LSS implementations in digital emerging technology companies are: (1) organizational leadership that is engaged to the implementation, (2) LSS methodology that is rebranded to fit existing shared values in the organization, (3) restructuring of the traditional LSS training program to include a more incremental, prioritized, on-the-job training approach and (4) a modified LSS project execution methodology that includes (a) condensing the phases and tools applied in LSS projects and (b) adopting more iterative project management methods compared to the standard phased LSS project approach.

The qualitative nature of our analysis and the geographic coverage of our sample limit the generalizability of our findings.

Implications comprise the awareness and knowledge of critical success factors and LSS methodology modifications specifically relevant for digital emerging technology companies or companies that share similarities in terms of focus on product development, innovation and growth, such as R&D departments in high-tech manufacturing companies.

Research on industry-specific enablers for successful LSS implementation in the digital emerging technology industry is virtually absent. Our research informs practitioners on how to implement LSS in this and alike industries, and points to aspects of such implementations that are worthy of further attention from the academic community.

This study investigates the evolution of digital transformation research trends in the context of the fashion industry. The paper analyzes and addresses the impact of digital innovations on three areas of the industry: products, processes and business models.

The study examined 277 peer-reviewed articles using various bibliometric tools and indicators, aiming to identify and organize the contributions of the most influential works. Additionally, a critical review of the ten most cited papers in the field was carried out.

The study shows that digitalization is not merely a technological trend; rather, it is a transformative force reshaping the fashion industry. It fosters collaboration, innovation and sustainability, creating an ecosystem where businesses can thrive by aligning with circular principles and leveraging digital tools.

The paper reveals a gap in the scientific systematization and exploration of the variety of applications of digital tools in the fashion industry. The study’s limitations include the keywords chosen for the research and the period of the research from 1998 to 2023.

The paper pursues to contribute to the current discussion on sustainable practices within the fashion industry, while also setting the foundation for future progress in digital innovation that supports the increasing need for sustainable and personalized products.

Project managers face decisions every day and those decisions result in an “either or” situation. This is also true when it comes to the choice of a project management approach, i.e. predictive versus iterative. A case is made in this article that project managers should be ambidextrous and apply practices that are beneficial to the project, irrespective of the origin of the practices.

This study is based on a questionnaire focussing on six themes. The results of 290 projects were analysed using ANOVA and boxplots to test for skewness and variances.

Based on the analysis of 117 practices, most of these projects could be classified as either hybrid or iterative projects. The results indicate that irrespective of the classification of the projects or the industry, projects are managed using a hybrid approach, with a tendency to incorporate more iterative practices than predictive practices.

This article contributes to the current debate on which approach is the best given certain circumstances.

Business process re-engineering (BPR) initiatives are complex endeavours which require many factors to ensure success. However, most studies focus on the organisational processes and improvement within the organisation itself and less on the project team and management dynamics. The study aimed to identify factors that enabled the completion of a BPR, in a technical firm, based on reflections on the project management style.

The study entailed a descriptive and interpretive case study with reflections from project team members. Data were analysed using descriptive statistics and content analysis.

Findings revealed that critical success factors for BPR in a technical firm include project leadership and sponsorship, organisational culture and attributes, team dynamics and the nature (activities), and duration of the process.

The findings will benefit project managers in improving their competence and project success through reflective practice. The identified factors could be used in future projects of a similar nature and size to improve how organisations execute BPR projects.

The study used reflections to identify success factors for BPR in a technical firm.

Triggered by public concerns over office workplace safety during the COVID-19 pandemic, this study sheds light on the office workplace environment and aims to investigate how organisations respond to forces from the external environment (impacted by the COVID-19 pandemic) and how they modify their office workplace management strategically and operationally to suit the stakeholders’ needs and future development in the post COVID-19 period.

A desktop study was conducted to provide the framework for the in-depth interviews with five corporate real estate (CRE) managers and three workplace consultants. Thematic analysis including coding technique was adopted to analyse the qualitative data.

The findings show that during the COVID-19 pandemic, most of the intended and implemented office workplace modifications are mainly related to two types of risk control: administrative control and personal protection. At a strategic level, organisations react to the external forces by re-modelling their businesses and working towards re-orienting their CRE strategies, such as portfolio transformation, agile portfolio strategies and redesign of the office workplace, etc.

This is a topical and timely study that presents the general practice of office workplace modification during the COVID-19 pandemic, as well as the related CRE management (CREM) strategies developed for the new normal. The findings obtained through in-depth interviews have well supported the CREM strategic alignment theory. It is foreseen that office workplace management will encounter other challenges due to uncertainties of the COVID-19 pandemic. The findings of this study provide a practical lens to look at the future changes of office workplace environment.

This study aims to extend the dynamic capabilities (DCs) perspective to the project management context. The authors present supporting evidence for analyzing the creation process of DCs during the redesign of the software development process, and they examine the impact of those capabilities on organizational performance and transformation.

An action design research approach, combined with simulation and qualitative analysis, is adopted to examine the emergence of technology-enabled DCs supported by their microfoundations and the modernization of the software development process in the target firm.

Analyzing the successful internal transformation of a software development company that was facing a slow and inconsistent product development process reveals the effectiveness of extending the DC perspective to a project-based setting. The implementation of a new project methodology and the introduction of an innovative document-handling system facilitated the renewal of the company's software development process. This led to improvements in lead time and total costs, resulting in enhanced project performance as well as customer and employee satisfaction.

This study draws managerial attention to the microlevel activities of technology-enabled DC formation, such as precise calculations, external expert consultations and tool deployment.

By applying the sensing–seizing–transforming framework with concomitant microfoundations in a longitudinal way, this article explains the role that technology plays as the basis for DCs and analyzes the cost–benefit balance of DC development in project-based organizations.

Recent advancements in Artificial Intelligence (AI) and, at its core, Machine Learning (ML) offer opportunities for organizations to develop new or enhance existing capabilities. Despite the endless possibilities, organizations face operational challenges in harvesting the value of ML-based capabilities (MLbC), and current research has yet to explicate these challenges and theorize their remedies. To bridge the gap, this study explored the current practices to propose a systematic way of orchestrating MLbC development, which is an extension of ongoing digitalization of organizations.

Data were collected from Finland's Artificial Intelligence Accelerator (FAIA) and complemented by follow-up interviews with experts outside FAIA in Europe, China and the United States over four years. Data were analyzed through open coding, thematic analysis and cross-comparison to develop a comprehensive understanding of the MLbC development process.

The analysis identified the main components of MLbC development, its three phases (development, release and operation) and two major MLbC development challenges: Temporal Complexity and Context Sensitivity. The study then introduced Fostering Temporal Congruence and Cultivating Organizational Meta-learning as strategic practices addressing these challenges.

This study offers a better theoretical explanation for the MLbC development process beyond MLOps (Machine Learning Operations) and its hindrances. It also proposes a practical way to align ML-based applications with business needs while accounting for their structural limitations. Beyond the MLbC context, this study offers a strategic framework that can be adapted for different cases of digital transformation that include automation and augmentation of work.