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Scholars have pointed out the need for improvement and refinement in public management research, also depending on the role of public administration for sustainable development. Because government organizations employ a substantial portion of the workforce, management practices in the public sector are critical areas for designing, implementing and delivering policies that can achieve the goals set forth in the 2030 Agenda for Sustainable Development. For these purposes, and in implementation of the Next Generation EU (NGEU) programme, Italy recently launched an ambitious National Recovery and Resilience Plan (NRRP) which includes, among other things, upskilling goals for staff employed, following the modernization process that has involved the Italian public sector in the last decades, with the Decree n. 150/2009. Aiming both to understand the extent of the application of the reform and to answer some basic questions (why, what and how) concerning Individual Performance Appraisal Systems (IPAS), we conducted a content analysis on the 220 documents already produced by the Italian Ministries. The study has been conducted in two different steps of the reform process and provides solid evidence of the reforms' effects on designing and implementing individual performance systems. The analyzed documents reveal no longer-term vision in implementing the IPAS that involves some critical performance management utilities such as training, development, fair pay and deployment of employees, raising new questions about a sustainable approach to the individual performance management process even in public organizations.

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.

Artificial Intelligence (AI) is one of the newest technology that is quickly advancing and can be utilised to improve human resource competence in the age of rapid digital transformation. The present competitive scenario demands accurate data that need to be collected and analysed for organisational growth.

Purpose: The research examines the applications and usage of AI in performance management and further analyses the future of PM from the perspectives of AI.

Methodology: The study is conceptual and relies on secondary data from research papers, publications, HR blogs, survey reports and other sources. Employee performance and attitudes were monitored using digital technologies, big data analytics and AI. The quality of employee performance continues to increase with the integration of AI, enabling predictive analytics to increase employee performance.

Research Implication: In employee performance appraisal, a digital performance management system leads to openness and honesty with time, effort and sincerity. It is based on the performance management system’s practical usefulness.

Theoretical Implication: The study’s findings provide HR managers, academics, IT professionals and practitioners with an understanding of how AI may be used for performance management and its consequences on their operations. In addition, the connection between the HR devolution theory on performance management and AI is discussed.

This section describes sustainable development (SD) in relation to infrastructure projects and explains how to evaluate SD. SD is assessed as context-dependent, considering the project’s economic, social, and ecological context. Sustainable road infrastructure projects (SRIP) should encapsulate the complete life cycle from idea to development, functionality, and maintenance. SD should be considered as part of the evaluation process prior to project execution, but it can also serve other functions. Sustainability evaluation must start with project appraisal or evaluation and the earliest stages of project decision-making. Sustainable infrastructure projects (SIPs) are evaluated using a variety of techniques and models, such as cost-benefit analysis (CBA), multi-criteria techniques, ecological and societal impact assessments, ranking techniques, models, and evaluation guidelines. Established SD structures and modelling techniques for infrastructure projects are presented from an SD perspective, with the primary objective of investigating how they operate and determining whether existing models provide an effective method for applying the SD idea into infrastructure development. CBA is a widely used strategy for evaluating alternatives to maximize sociocultural well-being. It is based on the likelihood of costing customer advantages and negative impacts and has been discussed in scholarly articles. The multi-criteria decision analysis (MCDA) approach is an acceptable methodology for addressing complex matters involving high risk, conflicting objectives, different types of information and data, different concerns and points of view, and the representation of complex and evolving biological, ecological, and financial frameworks. It combines many methodologies and offers various advantages over more conventional ways of decision-making and plan development. It should be used to increase community participation and empower partner organizations and should apply several criteria at the same time, including those that are difficult to adjust and quantify. The key difficulty with this strategy is the usage of weightings, which has been sharply criticized by several researchers. Life-cycle assessment (LCA) is an adaptive tool used to assess the ecological effects of a particular action, task, or procedure. It is applied globally to decision-making in numerous fields, including transportation, energy, and water, and has become a typical tool for determining the ecological performance of infrastructure projects. However, it has a few flaws and could benefit from improvements to assess SD with greater precision. It is a fragmented mechanism for assessing the three components of SD, but its incorporation into other evaluation approaches is desirable. The evaluation of societal implications has been conducted using a variety of methods and techniques, but there is currently no standard method for assessing the communal and appropriation consequences of infrastructure initiatives. Social life-cycle assessments (SLCAs) are advancing, but consensus remains a challenge. The Evaluation Partnership and the Centre for European Policy Studies identified several obstacles and challenges to implementing an outstanding societal assessment, such as the term ‘societal impacts’ being potentially overbroad and not adequately defined, and the lack of a suitable method for quantitatively evaluating sociological effects. Additionally, a large section of societal assessments is biased and frequently inconsequential. The chapter discussed the theoretical and methodological stances on sustainable road infrastructure, using current SID concepts and evaluation techniques thoroughly.

Companies are often accused of using sustainability disclosures as public relations tools to manage financial and non-financial stakeholders' impressions. The purpose of our study was firstly to determine how comprehensive the human rights disclosures of a sample of large international companies were and secondly, whether different narrative styles are associated with levels of disclosure to manage readers' impressions about the company. We analysed the public human rights disclosures for 154 large, international companies obtained from the UN Guiding Principles Reporting website. On average, companies complied with only one-third of the UN Guiding Principles Reporting Framework criteria. Communication about policies has the highest compliance, whilst communication about determining which human rights aspects are salient to the company, remedies for transgressions and stakeholder engagement have the lowest disclosure. When we split the sample between high disclosure and low disclosure companies, we found that the readability of the human rights disclosures is exceptionally low and even more so for low disclosure companies. Low disclosure companies used words implying Satisfaction significantly more than high disclosure companies, which provides some support for suspecting that low disclosure companies practise impression management by only presenting a ‘rosy picture’, as well as obfuscation via low readability. We add to the literature on impression management by large corporations in their sustainability reporting, and specifically human rights disclosures, by revealing how the interplay of low disclosure, low readability and overuse of words signalling Satisfaction contributes to impression management, rather than sincere attempts at accountability to all stakeholders.

The overall goal of science is to build a valid and reliable body of knowledge about the functioning of the world and how applying that knowledge can change it. As personnel and human resources management researchers, we aim to contribute to the respective bodies of knowledge to provide both employers and employees with a workable foundation to help with those problems they are confronted with. However, what research on research has consistently demonstrated is that the scientific endeavor possesses existential issues including a substantial lack of (a) solid theory, (b) replicability, (c) reproducibility, (d) proper and generalizable samples, (e) sufficient quality control (i.e., peer review), (f) robust and trustworthy statistical results, (g) availability of research, and (h) sufficient practical implications. In this chapter, we first sing a song of sorrow regarding the current state of the social sciences in general and personnel and human resources management specifically. Then, we investigate potential grievances that might have led to it (i.e., questionable research practices, misplaced incentives), only to end with a verse of hope by outlining an avenue for betterment (i.e., open science and policy changes at multiple levels).

A Delphi study was conducted to identify the critical variables of successful implementation of sustainable road infrastructure projects (SRIPs) in developing countries, determine the reasons for the various viewpoints held by infrastructure development professionals, determine what motivates and pushes the infrastructure sector to pursue sustainability, and determine the factors that could impact the implementation of a project for sustainable road infrastructure. Expert feedback was used to determine values for these metrics and indicators, and most of the panellists reached a consensus on the final decision. Statistical methods were used to determine whether there was a general agreement with respect to the statements and questions asked. The findings of the study were presented alongside its overarching principles. The most important criteria for SRIP implementation were socio-cultural sustainability, economic sustainability, environmental sustainability, and engineering performance, with little consensus on environmental sustainability and public participation. The primary purpose of this study was to identify the most crucial determinants of effective SRIP implementation in low-income nations. Interquartile deviation (IQD) values ranged from 7.0 to 8.1, but IQD values varied from 2.00 to 3.00. Thirty-one environmental sustainability indicators were assessed as important or very important, with 26 out of 30 having IQD values between 0.00 and 1.00. Six sub-attributes were deemed extremely significant and four important when experts examined institutional sustainability, with no consensus on the final four indications (IQD 1). Fourteen of twenty-one Public Participation Indicators were deemed ‘major’ by panellists for SRIP implementation, with consensus among experts. Ten factors contribute to diverse perceptions of sustainability, with only 2 deemed crucial and 18 deemed important. The four most essential indicators of successful SRIP implementation are VHI: 9–10). The other seven criteria were crucial because their median scores were between 7.00 and 10. The Delphi survey explained why various individuals in the infrastructure industry have divergent views on what it means to be sustainable. Twenty-one factors were identified as contributors to divergent perspectives on sustainability among infrastructure industry stakeholders. The Delphi survey also established the factors that affect the success of SRIP implementation in low-income countries, leading to the development of the conceptual SRIPI model.