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All societies in the modern world are troubled by crime, and the general public is equally fascinated by criminals and fearful of criminal behaviour. In the United Kingdom, events such as the murders of Jack the Ripper, the Yorkshire Ripper and Harold Shipman, and the Soham tragedy, coupled with film and television programmes including Silence of the Lambs, Cracker and Crime Scene Investigation, have fuelled the public's consciousness of the criminal mind.In the fight against crime, the development of offender profiling by the FBI in the USA has further captured people's imagination. The technique was introduced to help law enforcement agencies solve serious crimes such as serial rape or murder, and to a lesser extent arson and property crime. At the heart of profiling lies the belief that by combining psychological principles with crime scene analysis, it is possible to identify the likely characteristics of a perpetrator.Although advances in crime detection are welcomed, the profiling field appears riddled with contradiction and disagreement. Social scientists argue that the discipline is unscientific due to methodologically weak research, while police officers appear sceptical about its benefits for solving crime. In Britain, profiling has witnessed both notable successes, for example Canter's profile of the serial rapist and murderer John Duffy, and dramatic failures, such as the Colin Stagg profile in the Rachel Nickell inquiry. This article reviews the offender profiling literature, examines its applicability in the legal system and identifies areas for future research.

This paper aims to make it convenient for those who have only just begun their research into Community Question Answering (CQA) expert recommendation, and for those who are already concerned with this issue, to ease the extension of our understanding with future research.

In this paper, keywords such as “CQA”, “Social Question Answering”, “expert recommendation”, “question routing” and “expert finding” are used to search major digital libraries. The final sample includes a list of 83 relevant articles authored in academia as well as industry that have been published from January 1, 2008 to March 1, 2019.

This study proposes a comprehensive framework to categorize extant studies into three broad areas of CQA expert recommendation research: understanding profile modeling, recommendation approaches and recommendation system impacts.

This paper focuses on discussing and sorting out the key research issues from these three research genres. Finally, it was found that conflicting and contradictory research results and research gaps in the existing research, and then put forward the urgent research topics.

Customer identity and access management (CIAM) is a sub-genre of traditional identity and access management (IAM) that has emerged in the past few years to meet evolving business requirements. CIAM focuses on the connectivity with the customer when accessing any type of systems, on-premises and in the cloud, from registration to track. The purpose of this study is to introduce different dimensions of CIAM toward exploiting them in organizations.

Based on a thorough review of the relevant literature and semi-structured interview with six experts in the field of digital IAM the necessary data were gathered. Then through the use of content analysis technique, analytic codes and also categories and sub-categories of the data were generated.

Results indicate that four categories, namely, customer identity management, customer access management and information technology and business management are the most important factors affecting the identification of CIAM dimensions.

Organizations could avail of the proposed conceptual model toward identification and offering customized products and services solutions to their customers.

Entrepreneurs can easily slide into severe economic crises (Fichman and Levinthal, 1991), in particular, in the first years after their founding. Additionally, research shows that entrepreneurs often lack a realistic evaluation of the entrepreneurial risks and barriers. Referring to research on cognitive and networked expertise (Ericsson et al., 2006; Hakkarainen et al., 2004), recognising and reflecting on potential failure may help to prevent or manage upcoming crises (Mitchell et al., 2008). Thus, this study aims to test whether assessing upcoming crises in a new venture varies along with the level of entrepreneurial expertise.

In a cross-sectional design with three subgroups (start-up consultants, entrepreneurs and students), this study evaluated critical incidents that have already been validated as likely to emerge in the post-formation phase (Heinrichs and Jäcklin, 2017). Entrepreneurial expertise was measured by seven indicators, chosen based on the approaches of cognitive and networked expertise.

By applying latent profile analyses, the participants were grouped along with these indicators of expertise in three levels. Analysis of variance showed significant differences amongst the profiles in perceiving critical incidents. Experts rated the incidents significantly higher than semi-experts and novices towards indicating financial risks (medium effect) and the probability that the entrepreneur could manage the upcoming crises (large effect).

The results call for developing and evaluating interventions, e.g. case-oriented entrepreneurship education courses (Heinrichs, 2016), that foster future entrepreneurs’ expertise in perceiving and managing entrepreneurial risks to prevent entrepreneurial failure.

Entrepreneurs can easily slide into severe economic crises (Fichman and Levinthal, 1991), in particular in the first years after founding. Additionally, research shows that entrepreneurs often lack a realistic evaluation of the entrepreneurial risks and barriers. Referring to research on cognitive and networked expertise (Ericsson et al., 2006; Hakkarainen et al., 2004), recognising and reflecting on potential failure may help to prevent or manage upcoming crises (Mitchell et al., 2008). Thus, this paper aims to test whether assessing upcoming crises in a new venture varies along with the level of entrepreneurial expertise.

In a cross-sectional design with three subgroups (start-up consultants, entrepreneurs and students), this study evaluated critical incidents that have already been validated as likely to emerge in the post-formation phase (Heinrichs and Jäcklin, 2017). Entrepreneurial expertise was measured by seven indicators, chosen based on the approaches of cognitive and networked expertise.

By applying latent profile analyses, the participants were grouped along these indicators of expertise in three levels. Analysis of variance showed significant differences among the profiles in perceiving critical incidents. Experts rated the incidents significantly higher than semi-experts and novices towards indicating financial risks (medium effect) and the probability that the entrepreneur could manage the upcoming crises (large effect).

The results call for developing and evaluating interventions, e.g. case-oriented entrepreneurship education courses (Heinrichs, 2016), that foster future entrepreneurs’ expertise in perceiving and managing entrepreneurial risks to prevent entrepreneurial failure.

Construction projects are susceptible to cost and time overruns. Variations from planned schedule and cost estimates can result in huge losses for owners and contractors. In extreme cases, the viability of the project itself is jeopardised as a result of variations from baseline plans. Hence new methods and techniques which assist project managers in forecasting the expected variance in schedule and cost should be developed. This paper proposes a judgment‐based forecasting approach which will identify schedule variances from a baseline plan for typical construction projects. The proposed forecasting approach adopts multiple regression techniques and further utilises neural networks to capture the decision‐making procedure of project experts involved in schedule monitoring and prediction. The models developed were applied to a multistorey building project under construction and were found feasible for use in similar construction projects. The advantages and limitations of these two modelling process for prediction of schedule variance are discussed. The developed models were integrated with existing project management computer systems for the convenient and realistic generation of revised schedules at appropriate junctures during the progress of the project.

Blockchain technology is predicted by many to be the most disruptive technology which might bring accessibility, efficiency and transparency in the financial industry. This study aims to understand the challenges likely to be faced by the Indian banking industry while adopting the technology.

The study adopted a qualitative approach to explore the challenges faced by the banking industry in India. Semi-structured in-depth interviews with senior executives and academicians in the finance and the information technology industries helped gain explorative insights about the challenges.

Thematic analysis suggested a framework comprising five challenges while adopting blockchain technology. These challenges relate to technology, organisation, operation, regulator and environmental context.

The paper contributes to the limited literature on the nascent blockchain technology adoption in banking industry in an emerging country context.

Higher education institutions possess a plethora of knowledge at the institutional, departmental and individual levels. Therefore, knowledge management plays a vital role in assisting partnerships to synergise knowledge and strengthen market competitiveness when working collaboratively. The purpose of this study is to identify and critically discuss the role of knowledge management concepts that support development of UK higher education partnerships. This knowledge management research was undertaken with the purpose of exploring components of behavioural constructs in assisting the development of successful partnerships between higher education institutions.

This research embraces a qualitative methodology and makes use of an expert panel method to gather field data and assess the relevance, robustness and applicability of a conceptual model developed in the context of higher education partnerships. Guided by two research questions, the researchers elicited knowledge from eight experts, academics and practitioners, who had initiated and led partnership development between UK higher education institutions. The experts were invited and selected to attend the panel using the criteria of “Years of Experience in the Higher Education sector”, “Job Positions and Experiences” and the “Partnership Scope and Impact”.

Depicting in a tree analogy, the conceptual model indicates that effective knowledge management will require higher education executives, managers and practitioners to centre on nurturing “tree roots” presented as behavioural knowledge management constructs and include institutional culture, trust, absorptive capacities and communication channels. The research findings elaborate on previous research and provide a categorisation of partnership outcomes between higher education institutions, explaining that partnership outcomes can be of an “Academic”, “Marketing and Finance” or “Managerial” nature. Importantly, practical use of the model could be implemented using audit methods or benchmarking methods, whereby the categorised elements of the model are used as a criterion of assessment for audit teams.

The conclusion extracted experiential insights to provide guidance as to how higher education executives, managers and practitioners can make use of knowledge management behavioural constructs and activities to assist collaborative undertakings in the higher education sector. This paper provided a new, modified, knowledge management higher education partnership tree, thus giving researchers and academic practitioners a holistic viewpoint of important partnership knowledge management factors.

While the COVID-19 pandemic has impacted the construction industry, it is still unclear from prior studies about adequately positioning the quality assurance (QA) for the post-pandemic era and future pandemics, especially cross-border construction logistics and supply chain (Cb-CLSC). Thus, this study aims to develop a managerial framework to position the QA of Cb-CLSC during pandemics and post-pandemics by taking lessons from how COVID-19 has impacted the existing QA systems and has been managed successfully.

This is achieved pragmatically through an embedded mixed-method design involving a literature review, survey and interview from experts within the Hong Kong SAR–Mainland China links, typically known as the world’s factory. The design is further integrated with the partial least squares structural equation modelling (PLS-SEM) approach.

The study revealed 10 critical managerial practices (MPs) to position the QA to be adequate for the post-pandemic and during future pandemics, with the top three including “strict observance of government regulations (MP1)”, “planning ahead the period of quality assurance with the quarantine days in host countries (MP6)” and “modification of contract to cater for uncertainties (MP4)”. This attained a relatively good percentage agreement of 53% between the industry and academia. However, the top four MPs regarded as very effective include “implementing digital collaborative inspections with subcontractors and trades (MP8)”, “implementing a digital centralized document and issue management system (MP7)”, “strict observance to government regulations, including vaccination of workers, social distancing, use of prescribed nose masks, etc. (MP1)” and “planning ahead the period of quality assurance with the quarantine days in host countries (MP6)”. Two underlying components of the MPs were revealed as policy-process (PP)-related practices and people-technology-process (PTP)-related practices, and these can be modelled into a managerial framework capable of effectively positioning the QA to be adequate during pandemics through to the post-pandemic era.

The findings of this study depicted significant theoretical and practical contributions to the proactive management of QA activities during pandemics through to the post-pandemic era. It could empower organisations to pay attention to smartly and innovatively balancing people, processes, pandemic policy and technology to inform decisions to effectively position the QA for the post-pandemic era and survive the risks of future pandemics.

The study contributes to the body of knowledge in that it develops a managerial framework to position the QA of Cb-CLSC during pandemics and post-pandemics by taking lessons from how COVID-19 has impacted the existing QA systems and has been managed successfully. It is original research with invaluable primary data in the form of surveys and interviews from experts within the Hong Kong SAR–Mainland China links, typically known as the world’s factory.

Although literature exists that profiles the effects of technology on sport, there has been little exploration into the specific effects of media technologies. This case study contributes to the existing literature on the convergence of technology and sport by examining which of five key media technologies will have the greatest impact upon the televised ice hockey product. The results demonstrate the importance of forecasting media technology in sport.