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This paper conducts a Systematic Literature Review (SLR) of Machine Learning (ML) in Supply Chain Management through bibliometric and network analysis, the authors are able to grasp key features of the contemporary literature. The study makes use of state-of-the-art analytical framework based on a unified approach to reveal insights from the present body of knowledge and the potentials for future research developments.

Unlike standard literature reviews, in SLR, a structured approach is followed. The approach enables utilizing contemporary tools and software packages such as R-package “bibliometrix” and Gephi for exploratory and visual analytics. A number of clustering methods are employed to form clusters. Later, multivariate analysis methodologies are adopted to determine the dominant clusters for the influential co-cited references.

Using contemporary tools from Bibliometric Analysis (BA), the authors identify in an exploratory analysis, the influential authors, sources, regions, affiliations and papers. In addition, the use of network analysis tools reveals research clusters, topological analysis, key research topics, interrelation and authors’ collaboration along with their patterns. Finally, the optimum number of clusters computed for cluster analysis is decided using a systematic procedure based on multivariate analysis such as k-means and factor analysis.

Modern-day supply chains increasingly depend on developing superior insights from large amounts of data available from diverse sources in unstructured and semi-structured formats. In order to maintain a competitive edge, the supply chains need to perform speedy analysis of big data using efficient tools that provide real-time decision-making insights. Such an analysis necessitates automated processing using intelligent ML algorithms. Through a BA followed by a detailed data visualization in a network analysis enabled grasping key features of the contemporary literature. The analysis is based on 155 documents from the period 2008 to 2018 selected using a systematic selection procedure.

A contemporary review of the psychometric properties of the Buss‐Perry Aggression Questionnaire was undertaken to assess its suitability for an alcohol dependent population. Three criteria were used to try to achieve this: factor analysis; internal consistency reliability; and test‐retest reliability. Factor analysis revealed that its structure is remarkably consistent in a number of populations. Internal consistency reliability and test‐retest reliability results scores proved to be mainly above the recommended threshold. A conclusion was reached regarding these results that the Buss‐Perry Aggression Questionnaire is an effective screening tool for aggression in an alcohol dependent population.

The authors examine psychologically informed coaching approaches for evidence-based work-applied management through a meta-analysis. This analysis synthesized previous empirical coaching research evidence on cognitive behavioral and positive psychology frameworks regarding a range of workplace outcomes, including learning, performance and psychological well-being.

The authors undertook a systematic literature search to identify primary studies (k = 20, n = 957), then conducted a meta-analysis with robust variance estimates (RVEs) to test the overall effect size and the effects of each moderator.

The results confirm that psychologically informed coaching approaches facilitated effective work-related outcomes, particularly on goal attainment (g = 1.29) and self-efficacy (g = 0.59). Besides, these identified coaching frameworks generated a greater impact on objective work performance rated by others (e.g. 360 feedback) than on coachees' self-reported performance. Moreover, a cognitive behavioral-oriented coaching process stimulated individuals' internal self-regulation and awareness to promote work satisfaction and facilitated sustainable changes. Yet, there was no statistically significant difference between popular and commonly used coaching approaches. Instead, an integrative coaching approach that combines different frameworks facilitated better outcomes (g = 0.71), including coachees' psychological well-being.

Effective coaching activities should integrate cognitive coping (e.g. combining cognitive behavioral and solution-focused technique), positive individual traits (i.e. strength-based approach) and contextual factors for an integrative approach to address the full range of coachees' values, motivators and organizational resources for yielding positive outcomes.

Building on previous meta-analyses and reviews of coaching, this synthesis offers a new insight into effective mechanisms to facilitate desired coaching results. Frameworks grounded in psychotherapy and positive appear most prominent in the literature, yet an integrative approach appears most effective.

The findings of this study have lightened the focal research areas in maintenance planning and scheduling. These also served as effective guidelines for future studies in this area. This research, therefore, contributes in fulfilling the gap by carrying out an SLR of contemporary research studies in the area of models for maintenance planning and scheduling. At present, SLR rooted in BA has not been carried focusing on a survey over models for maintenance planning and scheduling. SLR uses advanced scientific methodologies from BA tools to unveil thematic structures.

We have systematically reviewed over 1,021 peer-reviewed journal articles. Advanced contemporary tools from Bibliometric Analysis (BA) are used to perform a Systematic Literature Review (SLR). First, exploratory analysis is presented, highlighting the influential authors, sources and region amongst other key indices. Second, the large bibliographical data is visualized using co-citation network analyses, and research clusters (themes) are identified. The co-citation network is extended into a dynamic co-citation network and unveils the evolution of the research clusters. Last, cluster-based content analysis and historiographical analysis is carried out to predict the prospect of future research studies.

BA tools first outlined an exploratory analysis that noted influential authors, production countries, top-cited papers and frequent keywords. Later, the bibliometric data of over 1,021 documents is visualized using co-citation network analyses. Later, a dynamic co-citation analysis identified the evolution of research clusters over time. A historiographical direct citation analysis also unveils potential research directions. We have clearly observed that there are two main streams of maintenance planning and scheduling applications. The first has focused on joint maintenance and operations on machines. The second focused on integrated production and maintenance models in an echelon setting for unrealizable production facilities.

There are many literature review-based research studies that have contributed to maintenance scheduling research surveys. However, most studies have adopted traditional approaches, which often fall short in handling large bibliometric data and therefore suffer from selection biases from the authors. As a result, in this area, the existing reviews could be non-comprehensive. This study bridges the research gap by conducting an SLR of maintenance models, which to the best of our knowledge, has not been carried out before this study.

This study aims to design a national innovation capability appraisal model. This would indicate Iran’s competitiveness situation among regional countries and suggest factors influencing Iran’s performance promotion.

The methodology included four sections: bibliometric analysis to discover intellectual evolution of innovation capability and related concepts; construction of a multi-division structure of national innovation capability according to the clusters extracted from bibliometric results, and experts’ opinions; creating dynamic network data envelope analysis (DEA) according to designed structure, and analysis of Iran’s performance among regional countries; identification and prioritization of the factors extracted from experts’ opinions that improve Iran’s performance in created network using Fuzzy decision-making trial and evaluation laboratory method.

The contemporary bibliometric analysis by its extracted clusters proved the necessity of a multi-division for measuring national innovation capability performance that each division and indicators of each step were designed according to clusters concepts. In designed structure, dynamic network DEA results revealed the weakness of Iran’s performance in the third division in the transformation of patents and high-tech imports to high-tech and creative exports, which led to proposing improving factors by getting experts’ opinions to enhance Iran’s performance in this division by prioritizing them.

One of the limitations of this research was that the indicators used in three phases of national innovation capability in DEA were extracted only from the World Intellectual Property Organization database. Another limitation was the number of experts in focus group sessions because due to the difficulty of gathering them in one session, the researchers lost the participation of some of these recognized experts. Also, the research concentration was on the improvement of the third phase of national innovation capability, in which Iran’s performance was weak.

Creating a relationship between the divisions of dynamic network DEA, as a national innovation capability appraisal model, and the concepts of clusters extracted from reviewing the intellectual structure and evolution of innovation capability and related concepts.

In Part One of this paper, the logical basis of the conventional approach was examined and found to be wanting. The contemporary approaches have a more logical basis but the application of technique has a serious flaw in the analysis stage. While the conventional techniques require no subjectivity at the analysis stage of the valuation process, the contemporary models require a subjective choice of an equated yield, prior to calculation of implied growth rate and capitalisation rate. This choice of equated yield must be made regardless of whether the comparable is rack rented or reversionary. In the use of comparables, both conventional and contemporary techniques do not have any serious flaws when the comparison is perfect. To be perfect the comparison must not only be similar in locational and physical characteristics, but it must also be identical in lease structure, that is to say it must have the same unexpired term and rent received to CRV ratio. Where the perfect comparison exists, investment valuation techniques are irrelevant: direct capital comparison can take over. The debate regarding the use of techniques for market valuation must therefore revolve around the use and manipulation of non perfect comparables and the second part of this paper investigates the objectivity and logic of the application of technique to the valuation of reversionary freehold investments.

The purpose of this paper is to examine relationships among governmental organizations, non-governmental organizations and the organization and management of instruction in US public education, with the aim of raising issues for cross-national research among countries in which the involvement of non-governmental organizations is increasing.

The paper is structured in four parts: an historical analysis of the architecture and dynamics of US public education; an analysis of contemporary reform efforts seeking to improve quality and reduce inequities; an analysis of ways that legacy and reform dynamics manifest in two US public school districts; and a discussion of considerations for cross-national research.

In US public education, dependence on non-governmental organizations for instructional resources and services is anchored in deeply institutionalized social, political and economic values dating to the country’s founding and that continue to function as constraints on educational reform, such that new solutions always emerge in-and-from the same problematic conditions that they seek to redress. The consequence is that reform takes on an evolutionary (vs transformative) character.

The US case provides a foundation for framing issues for cross-national research comparing among macro-level educational infrastructures, patterns of instructional organization and classroom instruction.

Such research would move beyond reductionist approaches to cross-national research toward new approaches that examine how histories, legacy architectures, contemporary reforms and patterns of instructional organization and management interact to shape students’ day-to-day lives in classrooms.

Toward the end of the 20th century, some work within political theory, of a kind that primarily foregrounds ethical considerations and another kind within political geography that links such ethical concerns to explication in terms of social space, territoriality and scale, has resuscitated the notion of contingent universality as an alternative to the either/or embrace or rejection of universality (and consequent denigration/celebration of particularity). As witnessed by the so-called spatial turn in many of the social and cultural sciences, this very circumstance, at least in the English-speaking world, has been one wellspring of current interdisciplinary interest in various geographical concepts and traditions. For political geographers, the idea of contingent universality arguably invites a fecund perspective from which to reflect upon a range of substantive and epistemological outcomes, which this essay will argue, are densely bound up in what, in short hand, is labeled globalization.

The welfare of the society…should be measured…by its…condition…its total capital structure, including its human capital, not by its throughput of production and consumption, for the gross national product increasingly includes such unproductive and… ‘maintenance’ items as national defense, …the replacement of unnecessarily shoddy commodities, and so on[3, p. 45].