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Mandating the use of building information modelling (BIM) in building projects has sprawled, but the uptake of BIM in building services engineering (BSE) remains sluggish. The purpose of this paper is to explore how to achieve wider adoption of BIM in BSE.

Through an extensive literature review, the benefits of, barriers to and measures conducive to, using BIM for BSE were identified and classified. Built upon the review and a focus group meeting, a questionnaire was devised for an industry-wide survey in Hong Kong and the survey data were processed by statistical analyses.

On the ranking of the benefits, strong agreements existed between the BSE and non-BSE respondent groups; yet no significant agreement was found between the two groups on the rankings of the barriers or the conducive measures. The top conducive measure, according to the BSE group, is “Allow enough time in project programme for BIM model development”.

The data collection and analysis methods of this study may be used for similar BIM studies in other places.

The priority of the conducive measures, which aid policy or decision makers in formulating how to get BIM effectively implemented in BSE, are useful information in the pursuit of a more productive and sustainable built environment.

This BIM study is specifically on BSE rather than the other disciplines (e.g. architecture, structural engineering) that have been widely studied.

This chapter seeks to contribute to a better understanding of Non-Profit Organizations (NPOs) use of practices for the purpose of organizational sustainability by highlighting the need for conducive performance measures and standards attached to NPO funding sources.

A review of literature for the UK Non-profit organization sector and NPO performance measures. The review structures literature as it relates to the non-profit sector and their relation to societal impact of human social service (HSS) non-profit organizations, non-profit performance measures, and processes of knowledge sharing in application of organizational evaluation.

This chapter provides a review of gaps in the literature referring suitable performance measurement and assessments suitable for the unique culture and approaches to performance measures of non-profit organizations. Future research implications suggest research in order to comprehend processes and procedures of performance measures inclusive of knowledge sharing and the processes of how non-profit learn, share, and evaluate internal and external to the NPO sector.

The value of this chapter is relevant for the public, government, and corporations to support efficient and effective ways in appropriating funds and defining successful NPO’s for external funders to invest.

The purpose of this paper is to improve understanding of how different aspects of the national institutional environment may influence the extent of innovative entrepreneurial activities across countries. Several institutional and conductive factors affecting a country’s capacity to support innovative entrepreneurship are explored.

Institutional theory is used to examine the national regulatory, normative, cognitive and conducive aspects that measure a country’s ability to support innovative entrepreneurship. A cross-national institutional profile is constructed to validate an entrepreneurial innovation model. The impacts of country-level national institutions on innovative entrepreneurial activity as measured by Global Entrepreneurship Monitor data are assessed through structural equation modeling.

Knowledge about the influence of specific institutional aspects on innovative entrepreneurship, and hence of institutional structures within and across countries, is enhanced. For new innovative enterprises, conductive and regulatory aspects seem to matter most. All conductive factors have a significant and positive impact on entrepreneurial activity rates.

Results could support policy makers and practitioners in evaluating government policies’ effects on innovative entrepreneurship. Interventions should target both individual attributes and context. Future research could include longitudinal designs to measure the direction of causality.

Aspects such as regulatory institutions, and conductive factors such as information communication technology use and technology adoption, are important for innovation entrepreneurship development.

The literature on institutional theory and innovative entrepreneurship is highly limited. This study complements growing interest in empirical analysis of the effects of national institutions on innovative entrepreneurial activities and substantiates previous empirical work.

The primary purpose of this study was to predict transfer of learning to workplace among adult learners enrolled in a continuing professional education (CPE) training program, specifically training courses offered through face-to-face, blended and online instruction formats. The study examined the predictive capacity of trainee characteristics, training design and work environment on transfer of learning among the study respondents.

A cross-sectional online survey design was used to collect data from the study respondents, three months after CPE training. Two hundred ninety-seven trainees participated in this study. Data from 46 participants were incomplete and therefore excluded in the preliminary analysis, resulting in 251 valid responses and participants for the data analysis, 43 males (17.1 per cent), 201 females (80.1 per cent) and 7 (2.8 per cent) who did not indicate their gender. To answer the study’s research questions, factor analysis and multiple hierarchical regressions were performed.

The results of the study revealed training efficiency and relevance were critical in the transfer of learning among the study participants. The findings of the study showed combined training efficiency and training relevance enabled training participants to acquire knowledge and skills for application in the workplace and had significantly positive influence in transfer of learning. The work environment, measured by work variability (or flexibility) and work complexity, and the trainee motivation to participate, measured by learning-conducive workplace features, had a positive influence in transfer of learning.

Because the majority of participants were females (80.1 per cent), this could be one of the limitations to this study. Research has identified that, because of the broad expectations based on sex and different family and occupational roles, men and women differ in their social network communication, participation in CPE, personality traits, gender-related occupational preferences, learning preference and methods of handling workplace conflict. The second limitation is related to the study design. The researchers did not have a control group because of practicality issues. This being a cross-sectional online survey study, all extraneous variables were not controlled such as in the case of a true randomized control study. This study is relying on the information obtained from a self-report training transfer instrument completed by the study participants. The accuracy of the obtained data is dependent on the honesty of the participants and their commitment in providing correct responses.

This study provides empirical evidence pertaining to the transfer of learning among adult learners engaged in a continuing professional development training program. The study examines factors related to training design, training delivery, trainee motivation and the workplace environment and how these factors determine transfer of learning among trainee respondents who participated in the study. The findings of the study have practical implications for the design and successful delivery of continuing professional training among adult learners. The study could be replicated at a national level and in international settings.

Networks and learning matter to small- and medium-sized enterprises (SMEs). Networks and learning are also further elaborations on the exploration–exploitation (EE) dilemma. Ambidexterity, that is, managing this apparent dilemma, can be difficult as a result of many constraints. One of these constraints is that of mutually exclusive network structures. Consequently, ambidexterity is the ability to change networks, depending on need using mixed data on four small companies formed as part of an undergraduate management class, I hypothesize how specific network properties of the advice-seeking relationship, including density, cohesion, centralization, and embeddedness, affect two outcomes. Specifically, early exploratory learning is proposed to be positively affected by less-dense networks that maintain cohesion without centralization and do not have relations embedded in other relations. In contrast, later exploitative learning should be associated with denser networks that also have higher cohesion, higher centralization, and greater embeddedness. The results provide some support for these hypotheses and suggest further research in two areas that will benefit SMEs. One, how do early networks affect learning mode? Two, how does the ability to rewire networks provide the relational infrastructure to shift from exploration to exploitation – that is, to be ambidextrous in the face of the exploration–exploitation tradeoff?

Investor risk perception is a personalized judgement on the uncertainty of returns pertaining to a financial instrument. This study identifies key psychological and demographic factors that influence risk perception. It also unravels the complex relationship between demographic attributes and investor's risk attitude towards equity investment.

Exploratory factor analysis is used to identify factors that define investor risk perception. Multiple regression is used to assess the relationship between demographic traits and factor groups. Kruskal–Wallis test is used to ascertain whether the factors extracted differ across demographic categories. A risk perception framework based on these findings is developed to provide deeper insight.

There is evidence of the relationship and influence of demographic factors on risk propensity and behavioural bias. From this study, it is apparent that return expectation, time horizon and loss aversion, which define the risk propensity construct, vary significantly based on demographic traits. Familiarity, overconfidence, anchoring and experiential biases which define the behavioural bias construct differ across demographic categories. These factors influence the risk perception of an individual with respect to equity investments.

The reference for the framework of this study is limited as there has been no precedence of similar work in academia.

This paper establishes that information seekers make rational decisions. The paper iterates the need for portfolio managers to develop and align investment strategies after evaluation of investors' risk by including these behavioural factors, this can particularly be advantageous during extreme volatility in markets that concedes the possibility of irrational decision making.

This study highlights that regulators need to acknowledge the investor's affective, cognitive and demographic impact on equity markets and align risk control measures that are conducive to market evolution. It also creates awareness among market participants that psychological factors and behavioural biases can have an impact on investment decisions.

This is the only study that looks at a three-dimensional perspective of the investor risk perception framework. The study presents the relationship between risk propensity, behavioural bias and demographic factors in the backdrop of “information” being the mediating variable. This paper covers five characteristics of risk propensity and eight behavioural biases, such a vast coverage has not been attempted within the academic realm earlier with the aforesaid perspective.

This study locates one surprisingly powerful ally of neoliberalism enabling its proliferation in certain contexts, the discursive notion of the “long term” (LT). Earlier literature has shown that neoliberalism is concerned with investors' decision-making that has been claimed to be based on LT forecasts. This research explains this focus on the “long term.”

Share-based compensation (SBC) is investigated in one case company. The data consist of interviews with executives, board members, analysts and owners and also of archival data on the executives' performance measurement and compensation.

Much research equates “share-based compensation” with “long-term compensation,” and the present study terms this relation “the myth of long-term compensation.” It is demonstrated that multiple features of share-based plans, characteristics of the management in question and contextual factors of the company and its governance tie in with the time orientation of such compensation. Multiple contradictions and irregularities in the literature on SBC are analyzed, undermining the claim that SBC is invariably LT oriented. Relying on Barthes' work, the study illustrates how LT SBC is a myth contributing to the ideology of neoliberalism.

It is proposed that the terms “share-based compensation” and “long term” be distinguished from each other for analytical and practical purposes. SBC, and thus neoliberalism, can sometimes be linked to the short term.

“Long term” is illustrated as a significant instrument for deploying ideologies.

Environmental regulation policy and cleaner production technology innovation are the key links to achieve sustainable economic development. This paper tests the impact of Two Control Zone (TCZ) environmental regulation policy on cleaner production technology innovation and explains the heterogeneity effect between them from the perspective of regional pollution intensity and R&D investment scale.

This paper takes TCZ policy as an environmental regulation policy and collects the patent data related to coal desulfurization cleaner production technology innovation in prefecture-level cities from 1994 to 2002 in China. This paper also tests the relationship between TCZ environmental regulation policy and cleaner production technology innovation based on difference in difference (DID) model. Take regional R&D investment scale and pollution intensity as category variables and analyze the heterogeneity effect of TCZ environmental regulation policy on cleaner production technology innovation based on difference-in-difference-in-difference (DDD) model.

TCZ environmental regulation policy effectively promotes China's cleaner production technology innovation, but it is more conducive to cleaner production technology innovation in heavy pollution areas. With the increasing of R&D investment scale, the positive effect of TCZ environmental regulation policy on cleaner production technology innovation is stronger.

On the basis of this study, the authors should further explore the regulatory factors of the relationship between TCZ environmental regulation policy and cleaner production technology innovation and further expand the research object, so as to make the research conclusions more practical and instructive.

This paper tests the impact of TCZ environmental regulation policy on cleaner production technology innovation based on the prefecture city level data and DID model, and it handles the endogenous problem caused by the missing variables and provides the accurate conclusions. Moreover, this paper examines the heterogeneity effect of TCZ environmental regulation policy on cleaner production innovation from regional R&D investment scale and pollution intensity two hands and expands the existing theoretical research.

The authors considered three regional trading agreements (RTAs): European Union (EU-25), ASEAN Free Trade Area (AFTA), and South Asian Free Trade Area (SAFTA) to test the hypothesis that poor members within a RTA catch rich members and thereby follow the path of income convergence. Of particular interest is to test whether partial openness (i.e. formation of RTAs) or openness or political conditions are conducive to economic growth among the member countries of RTAs. The paper aims to discuss these issues.

The authors used pooled datasets from three different RTAs, namely the EU-25, the AFTA, and the SAFTA. Taking five years average for all variables, starting from 1961 to 1965 and extending to 2001-2005, the authors tested the hypothesis that the growth rate of per capita GDP is negatively related to the initial level of per capita GDP. Constructing a dynamic behavioral equation and forming the reduced form equation, the authors calculated the s-convergence, and both conditional and unconditional convergence.

The authors found that both the EU-25 and the AFTA exhibit s-convergence, and both conditional and unconditional convergence, while the reverse evidence was observed in the case of the SAFTA. However, the speed of convergence of the AFTA was found to be much higher than that of the EU-25.

Formation of RTA by countries should be considered as an essential condition to achieve sustained economic growth. In addition, political rights, trade openness, and more importantly benevolence of the member countries within the RTA must be shown to sustain economic growth and convergence; otherwise with the passage of time, divergence among the RTA members will be evident.

Interrupting work continuity provides a way to improve some project performance, but unexpected and harmful interruptions may impede the implementation. This paper aims to mitigate the negative impact caused by work continuity uncertainty based on the notion of robustness.

This paper develops a float-based robustness measurement method for the work continuity uncertainty in repetitive projects. A multi-objective optimization model is formulated to generate a schedule that achieves a balance between crew numbers and robustness. This model is solved using two modules: optimization module and decision-making module. The Monte Carlo simulation is designed to validate the effectiveness of the generated schedule.

The results confirmed that it is necessary to consider the robustness as an essential factor when scheduling a repetitive project with uncertainty. Project managers may develop a schedule that is subject to delays if they only make decisions according to the results of the deadline satisfaction problem. The Monte Carlo simulation validated that an appropriate way to measure robustness is conducive to generating a schedule that can avoid unnecessary delay, compared to the schedule generated by the traditional model.

Available studies assume that the work continuity is constant, but it cannot always be maintained when affected by uncertainty. This paper regards the work continuity as a new type of uncertainty factor and investigates how to mitigate its negative effects. The proposed float-based robustness measurement can measure the ability of a schedule to absorb unpredictable and harmful interruptions, and the proposed multi-objective scheduling model provides a way to incorporate the uncertainty into a schedule.