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This chapter aims to contribute to the literature on sustainability in the public sector by discussing how human resource and human resource management can help to integrate environmental management into organizations and improve environmental performance. Public sector scholars have neglected the study of Green Human Resource Management (GHRM) until now. Nevertheless, implementing such practices could lead to positive outcomes regarding awareness of environmental issues, organizational reputation and attractiveness, job satisfaction and organizational performance. The authors discuss the relevance and the necessity of developing a field of research on GHRM in public organizations. Starting from a conceptual review of the main literature on GHRM, this chapter provided some directions for future research.

Recent trends in total quality management (TQM) argue in favor of incorporating environmental concerns into TQM and considering external stakeholders. The aim of this study is to bring environmental consciousness in the soft TQM dimension of human resource management (HRM) and assess its interrelationship with stakeholder integration towards achieving a competitive advantage.

An empirical study was conducted in the transportation sector, specifically targeting managers in Greek shipping companies involved in global cargo transport and vessel operations. A structured questionnaire was administered, yielding 109 responses. The collected data were analyzed using partial least squares structural equation modeling.

The findings reveal the positive effect of both green HRM (GHRM) and stakeholder integration on the innovation differentiation advantage and market differentiation advantage of shipping companies. Results confirm the complementary (partial) mediating effect of GHRM in the relationship between stakeholder integration and both types of competitive advantage.

The primary limitation resides in data collection exclusively from shipping companies in Greece. A longitudinal approach would be beneficial for examining how the relationship between variables changes over time.

The findings of the study could assist shipping managers in their decisions to allocate resources for developing GHRM practices and for involving stakeholders in organizational practices to overcome competition.

This study contributes to the discourse on TQM by empirically investigating the combined impact of GHRM and stakeholder integration on competitive advantage – an aspect that has been relatively overlooked in existing literature.

This study sought to determine the role of green human resource management (GHRM) in fostering employees' environmental performance (ENVP). This study aims to advance knowledge related to the role of firms’ GHRM activities in cultivating eco-responsible behaviors among employees, considering green innovation (GI) as a mediator.

For this study, data of 579 respondents were collected from employees working in the manufacturing industry in India. In all, 579 employees from the manufacturing sector in India participated in the study. The proposed model was tested using SMART PLS 3.3.

The findings of this study stated that GHRM was found significantly to predict ENVP in the Indian manufacturing industry, and GI exhibited partial mediation. This study emphasizes that GHRM activities carried out by firms encourage employees to engage in innovation to develop green products and find novel green operation processes to improve firms’ ENVP.

As this study is limited to manufacturing organizations in India, the results of this study cannot be generalized; future studies may examine the proposed model in different contexts to generalize findings.

This study encourages policymakers to devise laws to enable organizations to implement GHRM practices. This study contributes to the existing literature on the environmental aspects of corporate social responsibility and environmental management. This study is one of the few attempts that seek to assess the relationship between GHRM, ENVP and GI in the Indian manufacturing industry. The contribution of this paper is significant to limit GHRM literature, as it empirically investigates the association between GHRM and ENVP.

This study aims to investigate the role of team problem-solving creativity in new product development (NPD) in the bottom-of-the-pyramid (BoP) in business-to-business firms. This study synthesizes perspectives from NPD, creativity and leadership to examine how work-related factors such as NPD managers’ role ambiguity and individual-related factors such as CEO’s ambidextrous leadership style interact to determine team problem-solving creativity and its effect on new product performance (NPP).

The hypotheses are tested using data from a multi-informant survey of 274 middle-level managers within 137 local BoP manufacturing firms in a sub-Saharan African country.

The results show that an NPD team’s ability to solve problems creatively determines NPP in BoP markets. The findings also show that NPD managers’ role ambiguity has a negative effect on team problem-solving creativity. However, a CEO’s ambidextrous leadership neutralizes the negative impact of role ambiguity on problem-solving creativity.

This study combines three distinct streams of literature, including NPD, creativity and leadership, to explore the antecedents and outcomes of problem-solving creativity. Drawing on creativity and leadership theories, this study reports that the success of creative idea exchanges depends heavily on a supportive environment for NPD team members and minimizing the NPD manager’s role ambiguity.

We investigated the relationship between personality and managerial assessment center (AC) dimensions, emphasizing age’s moderating role within volatility, uncertainty, complexity, ambiguity (VUCA) simulations.

We analyzed 327 managers and applied the AC method, examining areas like social skills, problem-solving, management and goal striving, openness to change, employee development using the VUCA framework.

We assessed personality metatraits through a questionnaire based on the circumplex model (CPM; Strus, Cieciuch, & Rowinski, 2014), identifying four bipolar metatraits. Results highlighted passiveness and disharmony as negatively correlated with all managerial AC dimensions, with passiveness adversely affecting social skills and problem-solving.

Age’s moderating role emerged as pivotal in the relationship between personality and managerial AC dimensions, especially in specific VUCA contexts. This underscores age’s influence on the interplay between personality and managerial efficacy, suggesting varying predictive capabilities across age groups. The research illuminates the complexities of these relationships, spotlighting age’s nuanced impact.

Employees’ personalities towards occupational outcomes have significantly gained academic attention. Personality traits (PTs) of employees as the determinant of corporate entrepreneurship (CE) outcomes research domain is emerging. This paper aims to assess extraversion PT activation for CE outcome under the problem-solving conflict handling style (CHS) situational cue.

The survey was conducted in automotive manufacturing firms in Pakistan for cross-sectional data collection. Structural equation modelling was used to assess the hypothesised theoretical model from 376 employees.

Results revealed a positive and significant impact of extraversion on CE. Also, employees with high extraversion traits were found to prefer the problem-solving style in managing workplace conflicts. The extraversion trait was also found to be activated under the situational cue of the problem-solving style.

The present study draws implications on person-job fit conceptions at the workplace while hiring, promoting and appointing employees. Personality assessment at the workplace is still in infancy in developing countries. The benefits of employees’ personalities can positively impact organisational performance measures like CE.

The present study has proposed the theoretical model based on Trait Activation Theory (TAT) and contributed theoretically through empirically testing the theoretical model by investigating the employees’ CHS role in activating their PTs towards the CE outcomes. Theoretically, using TAT conceptualisations in entrepreneurship and CE is novel as previous knowledge on PTs activation towards CE outcomes is non-existent. CHS as situational cues will attract social science researchers towards studying its role in various predictor outcome links across multiple work settings.

Being acquainted with both lean and action learning in theory and in practice, this study finds that the theoretical complementarity of these two research streams has traditionally been underexploited. In this conceptual paper, this study aims to advance the theoretical understanding of lean by exploring the complementarity of lean thinking and action learning leading to a proposed integrated theory of these two research streams. Target audience is the operations management research community.

By deliberately adopting a process of theorising, this paper explores, reflects upon and combines individual experiences of researching, teaching and engaging in lean and action learning as operations management scholars.

Having taken a gemba walk through the literature and practices of lean and action learning, this study views and notices a systematic and complementary relationship between the two domains. The overlapping theoretical and practical complementarities of lean and action learning suggest that these two research streams are ripe for synthesis into an integrated theory. This finding provides an opportunity to (1) progress towards an integrative design of interventions leading to more sustainable lean system adoptions and (2) add new depth to our theoretical explanation of the success and failures of lean system adoptions.

This paper contributes an original integrated theory perspective on lean and action learning.

This paper offers a way of revivifying classical accounting research in the form of a pragmatist neoclassical programme with a sound epistemological underpinning.

The paper draws on a pragmatist perspective on financial accounting and accounting research springing from John Dewey's theory of inquiry.

Although a pragmatist underpinning does not entail specific methodological prescriptions, it can provide fruitful insights in research design. The paper discusses the structure and content of a research programme drawing on a pragmatist underpinning and sets out proposals for a practical research agenda. Although the agenda is shaped around the topic of identifiable intangibles, much of the paper has substantially wider relevance.

The approach justifies a revival in scholarly research employing classical methods and directed at improving accounting methods and standards.

The approach would promote closer engagement between scholarly accounting and practitioners such as standard-setters, making some contribution to closing the widely acknowledged gap between research and practice.

The paper offers a neoclassical programme of research drawing considerably more extensively on pragmatist philosophy than did theorisation in the classical period.

The construction industry continues to struggle to deliver a right first time culture, seeking a panacea for improvement whilst maintaining project milestones. Complex construction projects demand stringent programmes, however, (un)foreseen changes, political influences and human behaviours all have significant impacts on delivering schemes without error. Previous studies have questioned the ability of the construction industry to successfully learn from errors. A major barrier has been the sharing of sensitive data from failed outcomes. Hence, this paper investigates non-conformance on an existing scheme and suggests avenues for improvement.

A mixed-method approach was adopted whereby 1,260 non-conformance reports (NCRs) from a highways megaproject were interrogated using root cause analysis (RCA) techniques to uncover the most frequent and costly areas. This was followed by a survey to industry professionals within a tier 1 principal contractor to gain insight into their perceptions of non-conformance and rework on construction projects.

Using Pareto analysis, the authors find that materials management, workmanship (poor quality execution) and supervision issues are the most frequently occurring and costly root causes of non-conformance on a major highways scheme. Furthermore, the authors link corresponding viewpoints of two project professional groups to the posed, achieving a high degree of consensus for the areas requiring development. Lastly, the authors suggest avenues for improvement via lessons learnt. These include greater emphasis on quality culture via a strong leadership mandate, enhanced vetting of workforce competence and improving the way materials are managed by embracing technology to drive efficiency.

This paper interrogates a current highways scheme using a uniquely rich, sensitive dataset to determine how the construction sector may improve efforts to achieving right first time outcomes.

Traditional case-adaptation methods have poor accuracy, low efficiency and limited applicability, which cannot meet the needs of knowledge users. To address the shortcomings of the existing research in the industry, this paper proposes a case-adaptation optimization algorithm to support the effective application of tacit knowledge resources.

The attribute simplification algorithm based on the forward search strategy in the neighborhood decision information system is implemented to realize the vertical dimensionality reduction of the case base, and the fuzzy C-mean (FCM) clustering algorithm based on the simulated annealing genetic algorithm (SAGA) is implemented to compress the case base horizontally with multiple decision classes. Then, the subspace K-nearest neighbors (KNN) algorithm is used to induce the decision rules for the set of adapted cases to complete the optimization of the adaptation model.

The findings suggest the rapid enrichment of data, information and tacit knowledge in the field of practice has led to low efficiency and low utilization of knowledge dissemination, and this algorithm can effectively alleviate the problems of users falling into “knowledge disorientation” in the era of the knowledge economy.

This study provides a model with case knowledge that meets users’ needs, thereby effectively improving the application of the tacit knowledge in the explicit case base and the problem-solving efficiency of knowledge users.

The adaptation model can serve as a stable and efficient prediction model to make predictions for the effects of the many logistics and e-commerce enterprises' plans.

This study designs a multi-decision class case-adaptation optimization study based on forward attribute selection strategy-neighborhood rough sets (FASS-NRS) and simulated annealing genetic algorithm-fuzzy C-means (SAGA-FCM) for tacit knowledgeable exogenous cases. By effectively organizing and adjusting tacit knowledge resources, knowledge service organizations can maintain their competitive advantages. The algorithm models established in this study develop theoretical directions for a multi-decision class case-adaptation optimization study of tacit knowledge.