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The current era of the fourth industrial revolution has attracted significant research on the use of digital technologies in improving construction project delivery. However, less emphasis has been placed on how these digital tools will influence the management of the construction workforce. To this end, using a review of existing works, this chapter explores the fourth industrial revolution and its associated technologies that can positively impact the management of the construction workforce when implemented. Also, the possible challenges that might truncate the successful deployment of digital technologies for effective workforce management were explored. The chapter submitted that implementing workforce management-specific digital platforms and other digital technologies designed for project delivery can aid effective workforce management within construction organisations. Technologies such as cloud computing, the Internet of Things, big data analytics, robotics and automation, and artificial intelligence, among others, offer significant benefits to the effective workforce management of construction organisations. However, several challenges, such as resistance to change due to fear of job loss, cost of investment in digital tools, organisational structure and culture, must be carefully considered as they might affect the successful use of digital tools and by extension, impact the success of workforce management in the organisations.

Connected machines are the automation of several types of machines connected towards beneficial growth of sustainable construction especially in the era of the Fourth Industrial Revolution. This chapter gave an insight into the emergence of digitalisation in the construction sector and the importance of connected machines in sustainable construction. It further elucidated its mode of operations, devices applicable, drivers and challenges for its full application in construction and benefits on construction projects. It finally gave a conclusion on its urgent need for full incorporation due to its technological benefits for present and future construction works.

In terms of having the general idea of what the whole book entails, the first chapter gave an insight into all the chapters and what details each chapter holds. This chapter began with an introduction of the book title in relation to the construction industry and sustainable practice in a collaborative manner. In addition, sustainable infrastructure management (SIM) was discussed in relation to construction Industry 4.0 and the management qualities of the technologies incorporated into construction activities. The objective of the book gave the need for SIM in construction with the view of achieving sustainable practices beneficial to both the client and the construction professional.

This study aims to explore various skills of library professionals working in management institutions of Kerala State, India.

A survey method was used by distributing online questionnaire as a data collection tool. The questionnaires were distributed to the library professionals working in management institutions in Kerala State, India.

The study’s results revealed that the library professionals were competent with managerial, communication and interpersonal skills. Conversely, they were lacking skills in statements such as institutional repository, web 2.0 and social networks. Their familiarity level with reference management tools, research and academic ethics, electronic publishing and management of open-access resources, were also not satisfactory. They need knowledge of other ICT skills such as designing and maintaining in-house databases, video conferencing tools, advanced troubleshooting creating and managing metadata, handling RFID technology and knowledge in solving issues while organizing webinars. Based on the findings, the study has suggested some recommendations which will enable the government/institutions to take appropriate measures to improve their skills.

This study will enable the policymakers to identify in which area the library professionals are weak and develop a strategy and framework for increasing the level of their skills.

This study provides the views of the library professionals working in management institutions in India and warrants the library professionals to enhance their skills, especially on research ethics and publications and ICT skills.

While few studies have examined business-to-business (B2B) mobile application (app) usage, none have examined the challenges in developing these technological assets. This study aims to examine B2B marketing executives’ perceptions regarding benefits, barriers and facilitators in app development.

A survey of 311 B2B marketing executives at selling firms in the USA was conducted to identify key themes related to the benefits, barriers and facilitators in developing B2B apps. The research featured “open-ended” questions exclusively, and advanced textual and thematic analysis of executives’ responses produced several key themes.

Results show that the perceived benefit of lowering customer servicing and costs drives development more so than trying to realize new revenue opportunities (e.g. “saving” vs. “making” money). Achieving internal buy-in/participation was perceived as a larger barrier than the commitment of financial resources. Additionally, training and education were viewed as the strongest facilitators of an app’s success over its design and functionality. Implications for B2B firms are discussed.

The open-ended format of this research captures a greater breadth of perspectives at the expense of more granular analysis of any particular issue.

The themes generated from the responses offer novel insights into the benefits sought in developing an app, as well as the technological, organizational and environmental factors that act as barriers and facilitators. The open-ended format of this research captures a greater breadth of perspectives at the expense of a more granular analysis of any particular issue.

The study aims to analyze factors impacting firms’ success and persistence in a digital platform competition using the structure-conduct-performance (SCP) framework. The study also includes real-life cases that are beneficial to academicians and practitioners to understand and develop strategies for success and persistence during uncertainty.

A literature review to identify the factors that impact success and persistence in a digital platform competition was conducted following Webster and Watson (2002). Findings were integrated into a SCP framework to examine and understand the identified factors’ relational impact.

While analyzing factors under the SCP framework, all factors were divided into three categories: those impacting positively, those impacting negatively and those with ambiguous impact on the success and persistence in digital platform competition. Digital platform firms can exploit the positively impacting factors to increase market share by being distinctive from other digital platform firms and becoming dominant by withstanding competition. On the other hand, negatively impacting factors increase barriers to entry, intensify competition and reduce the distinctiveness of digital platform firms. Lastly, a few factors may have either a positive or a negative impact depending upon the particular characteristics of the firm/industry.

The study opens the scope for future research on empirically testing the developed conceptual framework and relationships by developing propositions to posit the possible impact of these factors on digital platforms’ success and persistence.

The study contributed to the existing literature by using SCP framework to analyze the factors affecting firm’s success and persistence in a digital platform competition. Also, the study has discussed the relational impact of factors rather than their impact in isolation.

This study aims to offer a mid-range theory conceptualization of factors central to understanding and facilitating business actor engagement (BAE). Reports on a study of real estate companies and their sustainable development goal (SDG) driven business initiatives. The aim is to identify the factors that need to be in place to facilitate positive engagement amongst actors in business-to-business (B2B) settings.

A case study of real estate companies (landlords of business premises) and their business customers (tenants of offices and warehouses) – comprising interviews and workshops – offer insights related to the factors that need to be in place to facilitate BAE types and outcomes.

The identified central factors of BAE – needed to understand and facilitate positive engagement to unfold – are the actors’ perception of: willingness (to act), resourcefulness (to contribute and solve issues) and influence (to affect decisions) regarding solutions related to the business initiative at hand. Failing to facilitate these factors may result in negative outcomes of BAE where “engagement” merely constitutes perceived obligations and responsibilities.

The study offers theoretical and managerial insights on how to manage the factors needed for BAE. It also sheds light on how actors can use SDG-driven business initiatives to achieve sustainability goals.

It contributes to the concept of BAE, by emphasizing the dynamics of engagement, from the motivational and behavioral dimensions specific to B2B settings. It offers insights how to managerially cogovern rather than control BAE. It presents central factors needed to include and capacitate customers, facilitating successful implementations of SDG-driven business initiatives to reduce absent or negative outcomes.

Hoping to increase the productivity of their employees, firms provide and expect their employees to use approved mobile apps. However, despite an intuitive appeal, the relationship between information technology usage and productivity is still seen as paradoxical. This study examines the relationship between employees' experience and engagement with business mobile apps provided by employers and its effects on employee work productivity.

Data from respondents who use employer-provided business apps were used to test the hypotheses. Measurement-corrected latent scores extracted from the PLS measurement evaluation were used in regression-centric assessment using PROCESS.

Results indicate that employee-users’ experience-based attributions of the business app, i.e. customization, performance quality and compatibility, have positive effects on productivity mediated by participation intensity. Further, work type (retail vs non-retail) and the depth of the employee user’s experience moderate experience-based attributions' indirect effects on productivity.

Unlike previous studies delving into this topic, this study focuses solely on the mediation and moderation effects for hypothesis testing. Specifically, this study investigates effects conditional on work type (retail vs non-retail), which the authors believe has significant implications for retailing. These findings have interesting implications for both future research and managers.

Indian construction firms are falling behind in the use of digital technology in the workplace, and this study aims to give a framework and assess the role of enablers in the implementation and continuing digitalization of the Indian construction sector.

An exploratory qualitative research technique is used in this article, and multiple detailed interviews and surveys are done with professionals from the industry and academia. To conclude the significance and relevance of the different constructs and indicators, the partial least square-structural equation modeling (PLS-SEM) approach is used.

Barriers are essential enablers for effective implementation, while success factors are important drivers for the successful continuance of digitalization in the construction sector. However, stakeholders' perceived benefit has a substantial role in both implementation and continuance.

In this research paper, the scope of this investigation for a generalized exploratory study is restricted to construction firms within India. Further, a rigorous longitudinal study may also be performed to examine the subjectivity of the responses in order to ensure digital continuation. This study identifies limited manifest indicators. Additional indications, however, may be included based on the other company's resources, structure and geographic location.

The study's findings have two implications. In the beginning, it gives a direction to the construction sector by highlighting the framework in which implementation and continuance both should have to be executed, and this is the critical area for the successful continuance of digitalization in construction. Second, the research shows that the digitalization process is similar to the adoption of innovation, in which the deployment and persistent use of the new technology are important for facilitating the transformation.

In two respects, the study is distinctive. To begin, this is one of the limited efforts to comprehend digitalization from the Indian perspective. Second, the study reveals that the PLS-SEM approach can be effectively used in the developing subject of the construction digitalization concept.

The objective of this research is to investigate the capabilities of the ChatGPT GPT-4 model, a form of artificial intelligence (AI), in comparison to human experts in the context of construction project risk management.

Employing a mixed-methods approach, the study draws a qualitative and quantitative comparison between 16 human risk management experts from Finnish construction companies and the ChatGPT AI model utilizing anonymous peer reviews. It focuses primarily on the areas of risk identification, analysis, and control.

ChatGPT has demonstrated a superior ability to generate comprehensive risk management plans, with its quantitative scores significantly surpassing the human average. Nonetheless, the AI model's strategies are found to lack practicality and specificity, areas where human expertise excels.

This study marks a significant advancement in construction project risk management research by conducting a pioneering blind-review study that assesses the capabilities of the advanced AI model, GPT-4, against those of human experts. Emphasizing the evolution from earlier GPT models, this research not only underscores the innovative application of ChatGPT-4 but also the critical role of anonymized peer evaluations in enhancing the objectivity of findings. It illuminates the synergistic potential of AI and human expertise, advocating for a collaborative model where AI serves as an augmentative tool, thereby optimizing human performance in identifying and managing risks.