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The steel construction market has undergone gradual development in the past decades given its profound impacts on environment, economy and society. The purpose of this paper is to facilitate a better understanding of the major drivers and issues behind the market development of the steel construction industries around the world.

A three-step desktop research was conducted to select relevant research outputs published in the past 20 years. The research methodology in conducting these studies and their research trends were analyzed. Then the potential influencing factors for the market development of steel construction were identified through a content analysis of the selected studies.

A total of 59 articles were identified accordingly. These influencing factors were divided into five main themes: contextual, institutional, industrial, project-related and individual factors. In terms of the frequencies of these factors appeared in previous studies, “continuous development of standards, codes, and specifications” and “advance in product and process technology” were the top two driving forces in the market development of steel construction, while “cost issues” was the most frequently reported obstacle.

The study takes an initiative to establish a practical classification framework that can be dedicated to illuminating the critical issues or success factors affecting the development of the steel construction market. This framework can help policymakers, industry practitioners and researchers achieve sustaining success in steel construction in the developed, emerging and inactive markets.

Purpose: This chapter examines alternative education programs available for Myanmarese migrant youth in Thailand, what these young migrants expect of education, and how these migrant learning centers (MLCs) can help provide more opportunities for migrants.

Methods: This study draws from the data collected through two stages of qualitative research undertaken in Mae Sot, a town that borders Myawaddy, Myanmar in Thailand. Stage one consisted of ethnographic research with the local Myanmarese diaspora when I worked as a volunteer at a community-based organization. In stage two, a series of interviews were conducted with eight faculty members and twenty students enrolled in the secondary school level or vocational training program of three local MLCs.

Findings: The main finding is that even with both inclusive education policies and alternative education options in place, there is still a missing link between the educational attainment of Myanmarese migrant youth and their future prospects. While Thai public education seems to be a pathway to more future opportunities in the host country, it can be a trap when migrant youth cannot make good use of their learned knowledge and Thai language skills in the future due to their irregular status. In contrast with Thai public schools, MLCs offer more than simply education. They also provide scholarship, employment and social welfare assistance to serve the varying needs of young migrants.

Originality: The case of Myanmarese migrants presents a unique study in which the gap between students’ educational attainment and future prospects cannot necessarily be bridged even with a valid work visa scheme in place. Some Myanmarese migrants are displaced individuals who fled from civil wars and without any identification documents. The legal systems enforced by nation-states, such as Thailand, that rely on identification documents to control the flow of population still lack the capacity to adequately address the educational needs and employment opportunities of individuals with irregular status.

Practitioners have reported a minimal and non-use of building information modelling (BIM), especially in small and medium-sized organisations and BIM infant construction industries. This development calls for a reappraisal of organisations’ strength in capabilities required for BIM uptake towards the target of global construction digitalisation. This study aims to assess the BIM Level 2 uptake capability of organisations in a BIM infant construction industry and identify the underlying interactions between the capability criteria.

The study used a multivariable analysis of fifteen descriptors identified from the people, process, policy, finance and technology domain. Data collection was done in the BIM infant construction industry in Nigeria. Verification of the descriptors and an evaluation of BIM uptake capability in organisations was done. Seventy-three responses were received within the selected context, and data analysis was done with mean weighting and exploratory factor analysis. Maximum Likelihood extraction and Direct Oblimin rotation were used.

Factor analysis revealed three factors that explained 53.28% of the total variance in the BIM Level 2 uptake capability of construction organisations. The factors are workforce capacity and continuous development, an affinity for innovation and strength in physical and operational facilities.

This study provides an overarching and insightful discussion on BIM uptake capability and construction digitalisation with evidence from a BIM-infant construction industry.

The findings of this study are a piece of valuable empirical evidence on Level 2 BIM uptake capability. This empirical situation analysis will inform the advocacy for the advancement of BIM and enhanced utilisation of building information. Evidence on the capability performance of the BIM infant industry has been revealed.

The outcome is expected to stir debate on the preparedness of organisations to further exploit the benefits of BIM in the BIM infant construction industry. Examination of the capability for a particular phase of BIM is scanty in the literature.

Networked forms of organizing in health care are increasingly viewed as an effective means of addressing “wicked”, multifaceted health and societal challenges. This is because networks attempt to address these challenges via collaborative approaches in which diverse stakeholders together define the problem(s) and implement solutions. Consequently, there has been a sharp increase in the number and types of networks used in health care. Despite this growth, our understanding of how these networks are governed has not kept pace. The purpose of this chapter is to chart a research agenda for scholars who are interested in studying health care network governance (i.e., the systems of rules and decision-making within networks), which is of particular importance in deliberate networks between organizations. We do so based on our knowledge of the literature and interviews with subject matter experts, both of which are used to identify core network governance concepts that represent gaps in our current knowledge. Our analysis identified various conceptualizations of networks and of their governance, as well as four primary knowledge gaps: “bread and butter” studies of network governance in health care, the role of single organizations in managing health care networks, governance through the life-cycle stages of health care networks, and governing across the multiple levels of health care networks. We first seek to provide some conceptual clarity around networks and network governance. Subsequently, we describe some of the challenges that researchers may confront while addressing the associated knowledge gaps and potential ways to overcome these challenges.

Research into project success (PS) has a long pedigree as has research into the impact of building information modelling (BIM) on projects. Yet, despite the many revealed advantages BIM is known to deliver to projects, the relationship between the level of BIM application within a project, BIM's ability to impact a project at that level and the consequent effectiveness and range of success factors BIM is able to bestow across levels remains unmapped. Given the importance of evaluating the success of BIM-based construction projects (BBCPs) and the necessity to ensure the continual improvement of the BIM process, there is a need to identify the relationship between the level of BIM employed on a project and the specific PS factors that BIM is able to impact at that level.

This study puts forward a conceptual model for evaluating the success of BBCPs. A thematic synthesis approach is taken, using Scopus and other databases, and retrieving relevant articles from some 50 journals.

Eight success criteria for BBCPs were extracted and categorised according to BIM's ability to impact them across four levels of project application. Mapping BIM's variable impact at these four levels against the eight success factors produces a model for evaluating the PS of BBCPs. The model posits that the success of a BBCP is a function of the extent to which BIM is applied to the project. Moreover, the findings indicate that an increase in the number of PS criteria (PSC) for a BBCP is a derivative of BIM effectiveness, and not BIM impact.

This work constitutes seminal research to examine the concept of PS and PSC for BBCPs with the view to developing a model for evaluating the PS of BBCPs.

Although the term “trigger event” is commonly accepted and frequently mentioned by many disciplines in conjunction with sensemaking, research attention on the trigger event construct is sorely lacking. We chose to examine this construct within a specific setting that global leaders have to master – the intercultural context. After reviewing the relevant literature, we created an original model of trigger events and sensemaking in the intercultural context, which is accompanied by propositions that determine the likelihood of an event rising to the level of a trigger. It is our hope that this theoretical model will lead to a better understanding of how trigger events function in general. The chapter contributes to a greater understanding of the cognitive element of global leadership effectiveness. Finally, the model has practical implications for intercultural and global leadership training and executive coaching.

Although research on job insecurity (JI) and its relationship with employee performance has increased in recent years, results are mixed and inconclusive. The objectives of this paper are to explore 1) the conceptualizations of JI, 2) the relationship between JI and different performance dimensions, 3) the theoretical perspectives used to explain the JI–performance relationship and 4) the mechanisms and contextual boundaries that affect the JI–performance relationship.

Following the PRISMA guidelines, the authors systematically searched for peer-reviewed empirical studies published before July 2021 in Web of Science and Scopus. The authors analyzed 81 empirical studies published on the conceptualization of job insecurity, its relationship with employee performance, and what mechanisms and contingency factors are studied. The authors used thematic analysis to analyze the articles.

Results of this review show that the quantitative cognitive dimension is dominant in extant JI literature. Furthermore, in-role performance and OCB were most often investigated in relation to the four dimensions of job insecurity, drawing from a range of theoretical perspectives to explain this relationship. Moreover, a variety of mechanisms and contextual factors on individual, individual work-related, individual-level attitudes and job-level characteristics have found to play a role in this relationship.

This study has a number of limitations. The first pertains to the exclusion of articles in languages other than English and non-peer reviewed papers. It is possible that the search strategy used may not have identified other studies that may have met the established criteria in order to be included in our research. However, this method was chosen to guarantee the quality of the included articles in this study and in line with previous meta-analyses and literature reviews (De Witte et al., 2016; Sverke et al., 2019). Second, one selection criteria focused on how performance was assessed in the studies incorporated in this literature review. The authors excluded studies that addressed performance from the perspective of the organization (i.e. studies that measured performance at the organizational level). The authors herewith might have excluded studies that focused on one or multiple job insecurity constructs, but the authors herewith included studies that were comparable in terms of performance indicator outcomes. Future studies could expand the search by investigating, as a next step, the impact on organizational performance. Finally, since the focus of this literature review was on the relationship between job insecurity and performance indicators, including the mechanisms and boundary conditions that affect this relationship, the authors did not include focus on how job insecurity can be influenced (Shoss, 2017), and herewith lack information on the predictors side of job insecurity. However, by narrowing the authors focus to mediators and moderators, the authors were able to come up with an extensive list of factors that impact the job insecurity–performance relationship and herewith provide fruitful areas for future research. Future studies could expand these findings by providing an overview of predictors of different job insecurity constructs, to see whether there are potential different predictors of job insecurity conceptualizations (Jiang and Lavaysse, 2018).

The study review contributes to the systematization of the current empirical evidence on this area of research. This is especially important and enables room to take an additional step toward understanding the consequences of job insecurity on performance. Specifically, it is important for organizations and policymakers to be aware of the different conceptualizations of job insecurity that exist and how they impact employee performance. In addition, an overview of potential mechanisms and boundary conditions that affect this relationship provides insights as to how organizations can intervene to affect reactions to job insecurity.

The study findings are relevant and may be of interest to decision makers in organizations and national authorities that must have information on quality concerning the effects of job insecurity on performance.

Based on these findings the authors show the impact of the different conceptualizations of job insecurity and how they affect job performance. In addition, the authors provide recommendations for future studies how to better handle the integration of different conceptualizations and measures of job insecurity and its different approaches.

This study aims to outline the influence of various combinations of antecedent conditions for startups being accepted into business incubators in Italy and Romania. The degree to which these conditions affect acceptance is referred to here as the Business Ideas Acceptance Degree (BIAD). The antecedent conditions considered are business idea potential, business plan quality, entrepreneurial team features, business project progress stage, available financial resources, debts of potential incubated companies, commitment to apply for national/EU funds, business area related to incubator mission, proposed technological content level, technological transfer from university/research centres and spin-off of a partner-entity of the incubator.

The methodological toolkit used was mixed: correlation-based analysis (CBA), machine learning (ML) techniques and fsQCA. Principal component analysis enabled the selection of the most representative antecedent conditions from both business incubator samples in Italy and Romania, further used in fsQCA analyses. XGBoost algorithm has been also used. K-Means clustering, an unsupervised learning algorithm that groups unlabeled dataset into different clusters, led to the configuration of two clusters associated to each of the countries involved in this study (Romania and Italy).

The findings reveal the differences between the different antecedent conditions that can contribute to startups being accepted into business incubators in Italy and Romania. The validation of the fsQCA equifinality principle in both samples shows that the selected antecedent conditions, mixed in combinations of “causal recipes”, lead to a high BIAD by business incubators from both countries.

This study reveals the differences between different antecedent conditions, capable to contribute to the start-up acceptance within business incubators from Italy and Romania. Furthermore, the validation of fsQCA equifinality principle in both samples highlight that the selected antecedent conditions, mixed in combinations of causal recipes, lead to a high degree of business ideas' acceptance in business incubators.

The ISO 14001 is already a global meta‐standard for implementing Environmental Management Systems. The purpose of this paper is to analyze the influence of the sources of motivation that lead companies to adopt this global standard for its perceived benefits.

An extensive review of the academic literature published on ISO 14001, motivations, and benefits has been carried out in order to establish the working hypotheses that are analyzed based on the information obtained from 214 Spanish companies that participated in a survey.

The internal drivers to implement and certify the ISO 14001 standard have a degree of influence on the benefits that is significantly higher than external ones, irrespective of the size of the company and the sector of activity.

The findings help to characterize ISO 14001 certified firms and anticipate benefits of the implementation and certification of the standard.

The article sheds light on the relationship among the motivational factors and the benefits of the process of implementing and certifying ISO 14001 in the country in the world that has experienced the greatest intensity of certification. A typology of integration level from Boiral and Boiral and Roy is empirically analyzed for ISO 14001 for the first time in the literature.

Recent studies in the field of behavioral finance have highlighted the importance of investor sentiment in the return-generating process for general equities. By employing an asset pricing framework, this paper aims to evaluate the performance of European real estate equities, based on their degree of sentiment sensitivity.

Using a pan-European data set, we classify all real estate equities according to their sentiment sensitivity, which is measured relative to the Economic Sentiment Indicator (ESI) of the European Commission. Based on their individual sentiment responsiveness, we form both a high- and low-sensitivity portfolio, whose returns are included in the difference test of the liquidity-augmented asset pricing model. In this context, we analyze the performance of sentiment-sensitive and sentiment-insensitive real estate equities with a risk-adjusted perspective over the period July 1995 to June 2012.

While high-sensitivity real estate equities yield significantly higher raw returns than those with low-sensitivity, we find no evidence of risk-adjusted outperformance. This indicates that allegedly sentiment-driven return behavior is in fact merely compensation for taking higher fundamental risks. In this context, we find that sentiment-sensitive real estate equities are exposed to significantly higher market risks than sentiment-insensitive ones. Based on these findings, we conclude that a sentiment-based investment strategy, consisting of a long-position in the high-sensitivity portfolio and a short-position in the low-sensitivity one, does not generate a risk-adjusted profit.

Although this study sheds some light on investor sentiment in European real estate stock markets, further research could usefully concentrate on alternative sentiment proxies.

This is the first study to disentangle the relationship between investor sentiment and European real estate stock returns.