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The paper provides a detailed description of standard procedures for constructing facial composites. These procedures are relevant to forensic practice and are contained in the technical papers of this special issue; the purpose of this paper is also to provide an expanding reference of procedures for future research on facial composites and facial-composite systems.

A detailed account is given of the interaction between practitioner and witness for producing a facial composite. This account involves an overview of the Cognitive Interview (CI) and the Holistic CI (H-CI) techniques used to obtain a description of the face of an offender (target); the authors then describe how this information is used to produce a composite from five popular face-production systems: Sketch, PRO-fit, Electronic Facial Identification Technique (E-FIT), EvoFIT and EFIT-V. An online annex is also made available to provide procedural information for additional composite systems.

The work is valuable to forensic practitioners and researchers as a reference for interviewing techniques (involving a CI or an H-CI) and using facial-composite systems.

The authors provide an accessible, current guide for how to administer interviewing techniques and how to construct composites from a range of face-production systems.

The purpose of this paper is to assess the impact of seven variables that emerge from forensic research on facial-composite construction and naming using contemporary police systems: EvoFIT, Feature and Sketch.

The paper involves regression- and meta-analyses on composite-naming data from 23 studies that have followed procedures used by police practitioners for forensic face construction. The corpus for analyses contains 6,464 individual naming responses from 1,069 participants in 41 experimental conditions.

The analyses reveal that composites constructed from the holistic EvoFIT system were over four-times more identifiable than composites from “Feature” (E-FIT and PRO-fit) and Sketch systems; Sketch was somewhat more effective than Feature systems. EvoFIT was more effective when internal features were created before rather than after selecting hair and the other (blurred) external features. Adding questions about the global appearance of the face (as part of the holistic-cognitive interview (H-CI)) gives a valuable improvement in naming over the standard face-recall cognitive interview (CI) for all three system types tested. The analysis also confirmed that composites were considerably less effective when constructed from a long (one to two days) compared with a short (0-3.5 hours) retention interval.

Variables were assessed that are of importance to forensic practitioners who construct composites with witnesses and victims of crime.

Using a large corpus of forensically-relevant data, the main result is that EvoFIT using the internal-features method of construction is superior; an H-CI administered prior to face construction is also advantageous (cf. face-recall CI) for EvoFIT as well as for two further contrasting production systems.

We reviewed U.S. federal and state sexual harassment court cases involving a prior workplace romance between the plaintiff and alleged harasser. Results of our content analysis show that, unlike employees’ decisions, judges’ decisions can be predicted from legal but not ethically salient extralegal case features. Hence, when compared to prior research, our study reveals the following discrepancy: judges follow a traditional legal model, whereas employees follow an ethical model when making decisions about romance‐harassment cases. Our study also reveals that the mere presence (versus absence) of a prior romance reduces the likelihood of a plaintiff’s success in a harassment case. We discuss implications for management practice and research from the perspective of legal and ethical decision making.

Knowledge and its management and, more recently, strategic knowledge management (SKM) represent major challenges for the organisations of the 21st century. Despite the importance of this knowledge field, and the significant quantity of research that has focussed on this theme, there is a dearth of studies in the literature undertaking a systematic SKM review. This study aims to provide a currently complete and systematic SKM review to stimulate and contribute to furthering this academic field and correspondingly set out an agenda for future research.

This paper sourced the data from the science citation index expanded (SCI-expanded), the social sciences citation index (SSCI) and the arts and humanities citation index (A&H CI) databases. This research spanned references published in journals belonging to the categories of management, business and economics without any chronological filter. The search returned a total of 99 references with their dates of publication between 1995 (1 reference) and 2018 (7 references).

The results included the identification of three core approaches to this study field: SKM models and competitive advantage, SKM implementation and the Systematic SKM approach.

This current study seeks to undertake the mapping of the scientific publications, the intellectual structure and research trends in the SKM field to: identify the fundamental contributions to the SKM research field; determine the research pathways establishing its intellectual structure and the scientific journals with the greatest impact on the field and identify the SKM research field geographical distribution and its collaborative structure.

This study defines a roadmap for an informed research agenda that proposes multiple directions: the usage and development of an innovative theory that may open new paths for future research and theoretical construction; a more sophisticated understanding of the concept and its applicability; approaching the shortcomings interrelated with the content across different levels of analysis; and the application of relevant and appropriate methodologies for operationalizing SKM.

Small- and medium-sized enterprises (SMEs) generally make a crucial contribution to local and national economies. As the market has become increasingly globalised over the past two decades, SMEs often feel the need and/or push to internationalise their business activities. It is in this need that several barriers and challenges are perceived by SMEs, since these companies generally have different characteristics and resources compared to large multinational enterprises (MNEs). Accordingly, given that the literature on internationalisation is rather extensive and relatively fragmented, this study seeks to systematically understand the scientific structure of research on the internationalisation of SMEs, and how it is organised.

The authors used a bibliometric approach and data co-citation to identify and systematise the scientific publications, intellectual structures and research trends related to SME internationalisation.

The study research reveals five approaches that theoretically support the internationalisation processes of SMEs: (1) internationalisation and networks; (2) internationalisation and venture capital; (3) internationalisation and intrinsic characteristics; (4) internationalisation and transactional costs; and (5) internationalisation and firm resources and capabilities.

This study has important implications for academics and practitioners who are likely to benefit from a holistic understanding of the different aspects of SME internationalisation.

Given the competitive environment and complicated relationships in supply chains in the modern era, it is important to take into account internal and external risks. In addition, proper methods must be designed to evaluate these risks correctly. The purpose of this paper is to provide a suitable map based on the artificial neural network technique to assess and classify the risk levels of retailers who have interconnected rules in the downstream of the supply chain.

In this research, a model for risk assessment with a hexagonal grid and 2D self-organizing map was applied.

According to the results, the model used in the study can provide a basis for classification of retailers based on the specified risk levels defined by the experts and risk managers of the company. Also with the model’s visual output, managers can have a better understanding of the distribution of the risk level of retailers.

The proposed methodology can be adopted by managers to assess the risk of members involved in the supply chain, helping them to formulate the risk mitigation strategies based on the risk levels.

As a part of the risk management process, organizations can use this developed method to reduce the existing risks imposed by the members or customers on the company.

This paper aims to analyze the relationship among measures of resource and service usage and other features of academic libraries in the USA and Canada.

Through the use of a self‐organizing map, academic library data were clustered and visualized. Analysis of the library data was conducted through the computation of a “library performance metric” that was applied to the resulting map.

Two areas of high‐performing academic libraries emerged on the map. One area included libraries with large numbers of resources, while another area included libraries that had low resources but gave greater numbers of presentations to groups, offered greater numbers of public service hours, and had greater numbers of staffed service points.

The metrics chosen as a measure of library performance offer only a partial picture of how libraries are being used. Future research might involve the use of a self‐organizing map to cluster library data within certain parameters and the identification of high‐performing libraries within these clusters.

This study suggests that libraries can improve their performance not only by acquiring greater resources but also by putting greater emphasis on the services that they provide to their users.

This paper demonstrates how a self‐organizing map can be used in the analysis of large data sets to facilitate library comparisons.

Covid-19 outbreak has compelled the world-wide education system to use the digital collaboration platform (DCP) for online learning, for robust inclusive sustainable education. The purpose of this paper is to understand the adoption intention and effectiveness of DCP using technology acceptance model (TAM) for online learning among students studying in higher education institutes (HEIs) in India.

A structured questionnaire has been adopted to survey and collect data from 324 students studying in HEI of Maharashtra state in India. The questionnaire consisted of 28 constructs. The constructs in this section were measured using a five-point Likert scale ranging. In the first step, first-order confirmatory factor analysis is carried out by using the software IBM AMOS-20. The initial model is generated for six constructs, and outcomes are used to analyze the model’s goodness of fit and construct validity. In second step, structural equation modelling is carried out to do the path analysis of the proposed model.

The findings connote that the interactivity, cost-effectiveness and the core TAM constructs as perceived usefulness form positive attitude towards usage of DCP and intention to adopt it in near future by the students of HEI of India. The research is an attempt to provide possible explanations for the epochal relationships between the constructs and discusses the usage of information, which can be further used to enhance the acceptance of DCP among students in urban as well as rural India.

The results and findings will provide a direction to the various stakeholders such as educators, management, learners and the parents on the adoption intention of digital collaborative platform from a learner’s point of view. This will lead to the knowledge which will help in practical implementations of these technologies.

The results and findings will provide a direction to the various stakeholders such as educators, management, learners and the parents on the adoption intention of DCP from learner’s point of view. This will lead to the knowledge which will help in practical implementations of these technologies. The findings imply that the interactivity, cost-effectiveness and the core constructs of TAM such as perceived usefulness form positive attitude towards usage of DCP and intention to adopt it in near future by the students of HEI of India. This research provides possible explanations for the significant relationships between the constructs and discusses how this information can be used to enhance the acceptance of DCP among students in urban as well as rural India.

This research provides possible explanations for the significant relationships between the constructs and discusses how this information can be used to enhance the acceptance of DCP among students in urban as well as rural India, which is the need of hour for sustainable education.

There are tremendous studies on online learning and use of digital platforms including the constructs of TAM but in the times of Covid-19, where it has become mandatory for all educational institutes to use the digital collaborative platform for continuance of education. The study is original and is an attempt to understand students’ perspective towards usage of DCP and its effectiveness in learning in the rural parts of Maharashtra from where the students hail to study in HEI in Pune and Mumbai.