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The purpose of this paper is to outline some key aspects such as material systems used, phenomenological and statistical process modeling, techniques applied to monitor the process and optimization approaches reported. All these need to be taken into account for the ongoing development of the SLM technique, particularly in health care applications. The outcomes from this review allow not only to summarize the main features of the process but also to collect a considerable amount of investigation effort so far achieved by the researcher community.

This paper reviews four significant areas of the selective laser melting (SLM) process of metallic systems within the scope of medical devices as follows: established and novel materials used, process modeling, process tracking and quality evaluation, and finally, the attempts for optimizing some process features such as surface roughness, porosity and mechanical properties. All the consulted literature has been highly detailed and discussed to understand the current and existing research gaps.

With this review, there is a prevailing need for further investigation on copper alloys, particularly when conformal cooling, antibacterial and antiviral properties are sought after. Moreover, artificial intelligence techniques for modeling and optimizing the SLM process parameters are still at a poor application level in this field. Furthermore, plenty of research work needs to be done to improve the existent online monitoring techniques.

This review is limited only to the materials, models, monitoring methods, and optimization approaches reported on the SLM process for metallic systems, particularly those found in the health care arena.

SLM is a widely used metal additive manufacturing process due to the possibility of elaborating complex and customized tridimensional parts or components. It is corroborated that SLM produces minimal amounts of waste and enables optimal designs that allow considerable environmental advantages and promotes sustainability.

The key perspectives about the applications of novel materials in the field of medicine are proposed.

The investigations about SLM contain an increasing amount of knowledge, motivated by the growing interest of the scientific community in this relatively young manufacturing process. This study can be seen as a compilation of relevant researches and findings in the field of the metal printing process.

The purpose of this paper is to argue that, in situations where transformational leadership (TL) is in effect, perceived meaningfulness in work plays a vital role in generating intrinsic motivation among employees; specifically, this can influence employees to endeavor to benefit their organizations through engaging in voice behavior.

In this empirical study, a cross-sectional dyad questionnaire method was adopted to collect data from 172 employees from 40 companies.

The results show that perceiving work as meaningful is positively related, through a direct effect, to promotive and prohibitive voice behaviors. Further, employees perceiving their work as meaningful were found to fully mediate the relationship between TL and promotive voice behavior, but not prohibitive voice behavior. These results indicate that employees under TL who consider their jobs to be meaningful engage in more voice behaviors that might eventually benefit their organizations.

This study demonstrates that meaningful work is a considerable predictor of voice behavior. The results show that when a person experiences TL, it increases the chances that they perceive their work as meaningful, which in turn encourages them to engage in voice behavior that can benefit their organization. The findings from this research suggest that organizations can create “win-win” situations that benefit both their employees and the organizations themselves.

This chapter of the book seeks to use famous mathematical functions (statistical distribution functions) in evaluating and analyzing supply chain network data related to supply chain management (SCM) elements in organizations. In other words, the main purpose of this chapter is to find the best-fitted statistical distribution functions for SCM data. Explaining how to best fit the statistical distribution function along with the explanation of all possible aspects of a function for selected components of SCM from this chapter will make a significant attraction for production and services experts who will lead their organization to the path of competitive excellence. The main core of the chapter is the reliability values related to the reliability function calculated by the relevant chart and extracting other information based on other aspects of statistical distribution functions such as probability density, cumulative distribution, and failure function. This chapter of the book will turn readers into professional users of statistical distribution functions in mathematics for analyzing supply chain element data.

Geographical query formulation is one of the key difficulties for users in search engines. The purpose of this study is to improve geographical search by proposing a novel geographical query reformulation (GQR) technique using a geographical taxonomy and word senses.

This work introduces an approach for GQR, which combines a method of query components separation that uses GeoNames, a technique for reformulating these components using WordNet and a geographic taxonomy constructed using the latent semantic analysis method.

The proposed approach was compared to two methods from the literature, using the mean average precision (MAP) and the precision at 20 documents (P@20). The experimental results show that it outperforms the other techniques by 15.73% to 31.21% in terms of P@20 and by 17.81% to 35.52% in terms of MAP.

According to the experimental results, the best created taxonomy using the geographical adjacency taxonomy builder contains 7.67% of incorrect links. This paper believes that using a very big amount of data for taxonomy building can give better results. Thus, in future work, this paper intends to apply the approach in a big data context.

Despite this, the reformulation of geographical queries using the new proposed approach considerably improves the precision of queries and retrieves relevant documents that were not retrieved using the original queries. The strengths of the technique lie in the facts of reformulating both thematic and spatial entities and replacing the spatial entity of the query with terms that explain the intent of the query more precisely using a geographical taxonomy.

Though humble leaders can draw from their own resources to nurture employees' sense of well-being, this impact appears neglected in the leader humility literature. The aim of this study is to unfold how and when leader humility contributes to the well-being of employees in the public sector.

Participants in our research came from wards (grassroot level governments) in Vietnam.

The results lent credence to role of job crafting in mediating the relationships between leader humility and the physical, psychological and social well-being among public employees. The positive nexus between leader humility and job crafting was found to be stronger when employees demonstrated low levels of public service motivation.

This study advances the understanding of public sector employees' well-being via the predictive role of leader humility and the mediation mechanism of job crafting.

The authors intended to find out what motivates employees at the workplace. For this purpose, the authors examined family motivation and intrinsic motivation influences over work attitudes such as organizational citizenship behavior (individual) and affective commitment.

In the current research, the authors adopted time-lagged approach to collect a total of 352 responses from managers in the hospitality sector. This approach was adopted to avoid common method issues related to survey research.

The findings suggest positive association of family motivation with intrinsic motivation, affective commitment and organizational citizenship behavior (individual). The authors also found intrinsic motivation positively related to affective commitment and organizational citizenship behavior (individual). The findings also found statistical support pertaining to the mediating role of intrinsic motivation on family motivation's positive relationship with affective commitment and organizational citizenship behavior (individual).

Considering important role of family motivation, the authors ask managers to think through ways that could help employees feel better about their family's wellbeing. The authors also suggest organizations upsurge intrinsic motivation of their employees by engaging them in decision-making process, allow employees to craft their jobs because through these a higher level of organizational citizenship behavior for individuals and affective commitment could be generated.

The authors extend the core assumption of self-determination theory that work motivation (intrinsic in specific) is autonomously determined, deeply rooted within individuals, and gratifying. It works on the pleasure principle and mirrors a hedonic standpoint. In such a situation, employees work merely based on their interest and joy; they focus and enjoy the process.

There has been a lack of research, particularly within the New Zealand (NZ) context, focusing on the identification and assessment of risk factors for construction projects, leading to a wide variation between design-phase elemental cost plans (ECPs) and the outturn tender sums (OTS). Still to be investigated is how risks interact to produce such variability. This study aims to determine the risk-influencing factors, identified through risk measurement, during design development.

This study adopted literature review and online questionnaire survey. The literature review was used to identify the factors affecting project budgetary performance, which was used to design the questionnaire survey culminating in data analysis. The questionnaire was administered to 64 practising project managers (PMs) in NZ. Their responses were analysed using descriptive statistics, mean ranking analysis, degree-of-risk measure and correlational analysis, to find the top-five risk factors impacting the variability observed, through ranking the mean and degree of risk values that produce such variability.

Significant risk factors were identified from the questionnaire survey analysis, such as changes in project owner/stakeholder requirements, experience of project team, site condition information, competency of consultants and information flow and quality. These provided some insights in explaining the variability between the design-phase ECPs and OTS based on risk impacts from PMs’ viewpoints.

Findings revealed a drift of 23.86% in budgeted costs (inflated risks), which seems significant. Prioritising top risk factors may provide handy information for researchers on the variables that could be relied upon for the development of a forecasting model for application in NZ.

The study findings have implications for PMs seeking to provide information on mitigation strategies by using risk management approach, considering the influence of development risks on building project delivery and, consequently the project owner’s financial position. To guard against wide variation between design-phase ECPs and OTS, the main contribution of this study is to raise consultants’ awareness of the important risk factors for their planning at the outset, thus assisting PMs in pro-actively managing their clients' budgets.

This study creates value by synthesising literature on construction project budgeting and highlighting areas for further research. By giving adequate attention to key risks associated with budget overruns in commercial projects, variability between ECPs and OTS, a common phenomenon in NZ, can be controlled to achieve cost savings. Based on this, further study suggests the development of a model that could assist the stakeholders in NZ to more reliably predict OTS from the design-phase ECP and pro-actively avoid unfortunate budget/cost overruns, disputes and even project abandonment.

This purpose of this paper is to introduce and analyze the concept of place-based business models, by which entrepreneurs use highly context-specific strategies and linkages to a “sense of place” as sources of value creation. To illustrate how place-based business models create unique value, case studies are reviewed from three sectors in Italy: Slow Food (Coop Italia and Eataly), agritourism (Spannocchia) and the albergo diffuso (Sextantio).

This is a conceptual paper with case studies from qualitative data and external sources.

The case studies demonstrate the value-creating potential of opportunities for the implementation of place-based business models. In contrast with conventional harm reduction perspectives, these models show how organizational contributions to local and regional resilience may also directly generate competitive advantage. The cases also illustrate challenges such as scaling up while maintaining authenticity, and coping with the public goods-nature of place-based resources.

Conventional management theory and practice treat environmental context as a distraction from which the technical core of the organization must be protected. Place-based business models diverge from convention by using tight coupling with local context to create value, enhance local economic resilience and contribute to a “sense of place”.

The purpose of this paper is to argue that a stationary-differenced autoregressive (AR) process with lag greater than 1, AR(q > 1), has certain properties that are consistent with a fractional Brownian motion (fBm). What the authors are interested in is the investigation of approaches to identifying the existence of persistent memory of one form or another for the purposes of simulating commodity (and other asset) prices. The authors show in theory, and with application to agricultural commodity prices the relationship between AR(q) and quasi-fBm.

In this paper the authors develop mathematical relationships in support of using AR(q > 1) processes for simulating quasi-fBm.

From theory the authors show that any AR(q) process is a stationary, self-similar process, with a lag structure that captures the essential elements of scaling and a fractional power law. The authors illustrate through various means the approach, and apply the quasi-fractional AR(q) process to agricultural commodity prices.

While the results can be applied to most time series of commodity prices, the authors limit the evaluation to the Gaussian case. Thus the approach does not apply to infinite-variance models.

The approach to using the structure of an AR(q > 1) model to simulate quasi-fBm is a simple approach that can be applied with ease using conventional Monte Carlo methods.

The authors believe that the approach to simulating quasi-fBm using standard AR(q > 1) models is original. The approach is intuitive and can be applied easily.

Knowledge sharing contributes to the success of an organization in various ways. The purpose of this paper is to examine the effect of social capital on knowledge sharing through employees’ emotional energy. In addition, this study investigates the moderating effect of meaningful work in the relationship.

A quantitative and cross-sectional approach was performed to collect the data from 403 employees working in information technology (IT) enterprises in Vietnam. This study applies partial least squares structural equation modeling to access the impact of social capital on knowledge sharing, the mediating effect of emotional energy and moderating role of meaningful work on this relationship.

The results show that social capital has a significant positive effect on knowledge sharing. Moreover, employees’ emotional energy has a complementary effect on this relationship. Moreover, meaningful work has moderating effect on the relationship between social capital and knowledge sharing.

The findings of this study provide valuable evidence and implications for the executive of IT enterprise in boosting knowledge sharing among the employees, in improving their emotional energy, perception of the meaningfulness of their jobs. This is particularly important due to the significant role of knowledge sharing in innovation, development.

Based on a social perspective of knowledge management, this study pioneers the exploration of the mediating effect of employees’ emotional energy in the relationship between social capital and knowledge sharing and the moderating role of meaningful work.