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We conducted a systematic review to explore the potential for the application of blockchain technologies for supply chain resilience in a small-scale agri-food business context.

As part of the research methodology, scientific databases such as Web of Science, Google Scholar and Scopus were used to find relevant articles for this review.

The systematic review of articles (n = 57) found that the use of blockchain technology in the small-scale agri-food business sector can reduce the risk of food fraud by assuring the provenance of food products.

Only a few papers were directly from a small-scale agribusiness context. Key challenges that limit the implementation of blockchain and other distributed ledger technologies include concerns over the disclosure of proprietary information and trade secrets, incomplete or inaccurate information, economic and technical difficulties, low levels of trust in the technology, risk of human error and poor governance of process-related issues.

The application of blockchain technology ensures that the risks and costs associated with non-compliance, product recalls and product loss are reduced. Improved communication and information sharing can increase resilience and better support provenance claims and traceability. Better customer relationships can be built, increasing supply chain efficiency and resilience.

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.

This book aimed to conceptualise a construction workforce management model suitable for effectively managing workers in construction organisations. To this end, this chapter presents the conceptualised model, which consists of seven workforce management practices with their respective measurement variables. Drawing from existing theories, models, and practices, the chapter concludes that a construction organisation that will attain its strategic objectives in the current fourth industrial revolution era must be willing to promote effective recruitment and selection, compensation and benefits, performance management and appraisal, employee involvement and empowerment, training and development, as well as improving workers emotional intelligence and handling external environment pressure. These practices can promote proactiveness, participation, and improved skills and can lead to effective commitment, better quality, and flexibility within the organisation.

This paper aims to discuss the firm productivity premium for servitized firms. It discusses servitization across the product value chain and estimates the effects of the range and extent of servitization on productivity premium in manufacturing firms.

This paper develops a conceptual framework and tests the hypotheses on the effects of servitization on productivity premium using linear regression models with a sample of 20,837 Russian manufacturing firms gathered from the Ruslana Bureau van Dijk database and the Russian customs service.

Servitized firms exhibit higher total factor productivity and labor productivity. The labor productivity premium increases with the number of services offered. However, the impact of services on productivity varies along the product value chain: postmanufacturing and postsales services enhance productivity premium, while manufacturing and back-office services diminish them. The effect of establishment services remains ambiguous.

This paper offers an analytical framework for firms to assess their servitization strategies. These strategies should be gradual, focused on enhancing firm efficiency rather than being an end goal. Firms should initiate the process by introducing services at the postproduction and postsales stages of the product creation chain to achieve productivity premium.

The paper extends the evidence on firm-level productivity drivers and contributes to the servitization theory. A servitization strategy should be portfolio-based, considering both the potential gains and losses in productivity resulting from the implementation of specific services.

Based on the literature on disruptive innovation, this research explores how disruptive innovation directly and indirectly (via innovation speed and innovation quality) influences firm performance in relation to the contingency of market-supporting institutions.

A sample of 207 firms was gathered through questionnaires targeting senior managers and R&D managers from high-tech firms in China with two waves including explanatory variables and outcome variables.

This empirical results indicate that disruptive innovation positively affects firm performance, and that innovation speed and innovation quality mediate the relationship between disruptive innovation and firm performance. Meanwhile, market-supporting institutions positively moderate the relationship between innovation speed and firm performance, but negatively moderate the relationship between innovation quality and firm performance.

This study suggests that disruptive innovation is important to firm performance, innovation speed and innovation quality play mediating roles, and market-supporting institutions acts as moderating effects. A research limitation is that the data were collected mainly through a questionnaire.

Firms should incorporate disruptive innovation as an important strategy and improve innovation speed and innovation quality to promote firm performance, and policymakers should improve the levels of market-supporting institutions to facilitate innovation and performance.

This study contributes the literature of disruptive innovation by uncovering the positive effect of disruptive innovation and firm performance and the mediating effects of innovation speed and innovation quality on the abovementioned relationship, and revealing their contingency effects of market-supporting institutions.

This chapter critically examines whether it may be possible to create an AI-based authentic leader, questioning the inherent contradiction between artificial and authentic. The authors pose central research questions: Does the application of AI – even just as a powerful resource – challenge the tenets of authentic leadership? What are the possibilities and limitations of the concept of authenticity in AI-based management systems? Moreover, with the help of three vignettes illustrating practical applications of AI-based systems in leadership and management tasks, the authors illustrate how technology may be used to either control or empower workers and leaders. The authors call for research to assess whether the search for authenticity in AI-based leadership could lead anywhere, warning that it could entrap us in unresolvable existential and conceptual ambiguity, ultimately diverting our focus from the essence of leadership altogether.

Research shows that innovation is imperative for business competitiveness and that entrepreneurs are stimulators of innovation. This is particularly true for younger entrepreneurs, who are recognized as having technological savvy, high dependency on the web, low fear of change and high zeal for challenges. However, not all businesses headed by younger entrepreneurs innovate, and research on younger entrepreneurs' innovation is lacking. This study assessed the main drivers of innovation in a sample of young Canadian entrepreneurs leading businesses in the initiation phase.

A sample of young Canadian entrepreneurs leading businesses in the initiation phase has been employed. This study is based on younger entrepreneurs and draws on the definition of generations Y and Z (Taylor and Keeter, 2010). It examines the initial stage of a business, up to 3 years. The sample includes 100 adults (65% female), whose ages ranged from 18 to 34 years. The drivers to innovate included external support (e.g. mentoring, funds, accelerators) and internal factors, including psychological attributes (i.e. risk-taking) and entrepreneurial motivations. Regression and structural equation modeling analyses have been conducted.

The findings revealed that entrepreneurial motivations for achieving self-fulfillment and contributing to the world, which are prevalent among younger generations, fostered innovation both directly and indirectly through the mediating effect of external support and risk-taking. External support fostered innovation not directly but through the mediating effect of risk-taking; in contrast, internal factors directly propelled innovation. This finding demonstrates the significance younger generations attribute to internal factors over external factors in the quest for innovation.

This study can be an intriguing starting point for future studies to examine in more depth the intertwined role of external and internal factors in accelerating innovation among younger entrepreneurs. Studies could examine various psychological attributes and professional and business capabilities (Zahra, 2021) as well as external factors.

Our findings add to this literature in stressing the need to strengthen risk-taking among younger entrepreneurs, which is affected by external support and produces innovation; and reinforce the relevance of the resource-based view in revealing younger entrepreneurs' avenues to develop innovation, pinpointing external support as contingent on motivation and demonstrating the role of risk-taking in the pursuit of innovation.

There are limited risk assessment tools validated for use with the internet child abuse material (I/CAM) offender cohort. Developed through a multi-stage process, the purpose of this paper is to present the “Estimated Risk for Internet Child Sexual Offending” (ERICSO), a new tool for I/CAM offender assessment, including demographic, collection, nature of engagement and social domains, plus a structured professional judgement section. Validation studies remain ongoing.

This paper presents a case series analysis of six Australian men, including two Aboriginal men, convicted of I/CAM offences to pilot proposed ERICSO domains and commence validation against the short self-esteem scale, University of California Los Angles loneliness scale, internet sex screening test and the sexual violence risk-20 V2.

Participants of all ages generally reported histories of mental health diagnosis and/or treatment and substance abuse. Two participants reported prior sexual offending, one for I/CAM offences. Participants expressed sexual preferences for female child victims and were convicted of possessing thousands of I/CAM files. Two participants reported accessing I/CAM for over six and 10 years, respectively, before detection by law enforcement.

Preliminary implications indicate ERICSO higher scores are consistent with I/CAM offenders having more online sexual behaviour diversity and more areas of risk/treatment need. For example, participants with problematic self-esteem and loneliness in our data set have higher ERICSO scores. Social connectedness may be a relevant factor though definitive conclusions cannot be drawn from the small sample size.

The ERICSO presents novel assessment of factors in considering treatment targets in addressing both illegal I/CAM and problematic legal sexual behaviours.

This study examines the adoption of information and communication technologies (ICT) for e-recruitment and its impacts on public value outcomes.

A survey was conducted with 213 public sector employees in the federal civil service using a questionnaire to test a conceptual model integrating the Technology Acceptance Model, Media Richness Theory and Public Value Theory using PLS-SEM analysis.

Results validate significant positive relationships between ICT adoption, social media use for e-recruitment and public value creation. Internet self-efficacy positively moderates public value outcomes.

While this study makes valuable contributions, avenues remain to further expand generalizability, strengthen validity and incorporate additional institutional factors in the framework.

The study provides insights to guide policies and interventions aimed at improving ICT adoption success and public value gains from e-government investments in developing countries.

The research makes key contributions by operationalizing and empirically assessing the public value impacts of e-government innovations and examining adoption issues in an understudied developing country context.