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In January 2016, Georgia Tech launched a campus-wide academic initiative (“Center for Serve-Learn-Sustain”) aimed at preparing undergraduate students in all majors to use their disciplinary knowledge and skills to contribute to the major societal challenge of creating sustainable communities. The initiative calls for faculty members from all six Georgia Tech colleges to develop courses and co-curricular opportunities that will help students learn about sustainability and community engagement and hone their skills by engaging in real-world projects with nonprofit, community, government, and business partners. Affiliated courses address various aspects of the Center’s sustainable communities framework, which presents sustainability as an integrated system connecting environment, economy, and society. This chapter reports on one engineering instructor’s ongoing efforts that bring sustainability into the engineering classroom through sociotechnical project-based learning. This cornerstone design course is one of more than 100 Center-affiliated courses currently offered; the full set of Center-affiliated courses enrolls over 5,000 students per year across all six colleges. The sustainability activities introduced in the freshman design course pertain particularly to the Center’s vision that all graduates of the institute, a majority of whom will graduate with engineering degrees, are able to contribute to the creation of sustainable communities and to understand the impact of their professional practice on the communities in which they work. A situated knowledge and learning pedagogical theory is used in the Center-affiliated course, where concept, activity, and context are involved in student learning to produce useable robust knowledge. The sociotechnical project-based teaching model with contextualized design problems is used to engage students throughout the course by utilizing computer-aided-design problems that incorporate sustainability within both individual and team projects. In this chapter, the authors present the pedagogical approaches to learning, strategies, and challenges for implementation and assessment of intervention activities, and data analyses of both student reflection data and pre- and post-survey data.

The impact of building information modeling (BIM) on various aspects of project management has attracted much attention in the past decade. However, previous studies have focused on a particular facet of project management (e.g., safety, quality, facility management) and within identified target journals. Despite numerous existing studies, there is limited research on the mainstream research topics, gaps and future research directions on BIM in project management. This study aims to conduct a bibliometric and science mapping review of published articles on BIM in project management and to identify mainstream research topics, research gaps and future research directions in this domain.

A science mapping approach consisting of bibliometric search, scientometric analysis and qualitative discussion was used to analyze 521 journal articles that were retrieved from the Scopus database and related to BIM in project management. In the scientometric analysis, keyword co-occurrence analysis and document analysis were performed. This was followed by a qualitative discussion that seeks to propose a framework summarizing the interconnection between the mainstream research topics, research gaps and future research directions.

Six mainstream research topics were found including (1) BIM-enabled advanced digital technologies, (2) BIM-based reinforcement and enhancement, (3) BIM and project composition, (4) BIM project elements and attributes, (5) BIM-based collaboration and communication and (6) BIM-based information and data. Moreover, this study discussed six research gaps, namely, (1) integration of BIM and other digital technologies, (2) future maturity of BIM applications in project management, (3) application of BIM in project components and processes, (4) role of BIM application in project elements and attributes, (5) impact of collaboration and communication in BIM application and (6) stability of information and data interaction. Furthermore, future research directions were discussed.

The findings and proposed framework contribute to providing a deeper understanding to researchers, policymakers and practitioners in the development of related research and practice in the domain of BIM in project management, thus, promoting digital transformation in project management. Overall, it adds to the global knowledge domain in BIM and promotes the need for digital and data integration, BIM maturity and BIM collaboration.

Despite the undoubted role of knowledge in the small family business (FB) in the restaurant and fast-food industry, there are some main challenges in the knowledge-sharing (KS) orientation for promoting their business. This study tries to recognise and explore the drivers influencing these enterprises' KS processes.

The authors applied combined exploratory and confirmatory analysis in two studies. In the first study, by the Delphi method, the 22 experts consisting of managers, FB owners and academic professors explore and forecast significant items and drivers. The second study is a confirmatory factor analysis (CFA) for validating the first study's indicators using the survey collected amongst 218 restaurants and fast foods employees.

The findings indicate 23 indicators in three main drivers of individual, organisational and technological, are critical for KS in small FBs in the investigated industry.

This research supports the understanding of knowledge management and the FB and contributes to recognising the influential factors for KS amongst small and medium-sized family businesses in the food-related industry. Also, by identifying and ranking the most significant factors, this research will help entrepreneurs facilitate FB entrepreneurship. Finally, the results provide practical implications for current and future KM and FB decision-makers.

The similarities between the developments of the United States (U.S.) and China into global powers (countries with global economic, military, and political influence) can be analyzed through big data analysis from both countries. The purpose of this paper is to examine whether or not China is on the same path to becoming a world power like what the U.S. did one hundred years ago.

The data of this study is drawn from political rhetoric and linguistic analysis by using “big data” technology to identify the most common words and political trends over time from speeches made by the U.S. and Chinese leaders from three periods, including 1905-1945 in U.S., 1977-2017 in U.S. and 1977-2017 in China.

Rhetoric relating to national identity was most common amongst Chinese and the U.S. leaders over time. The differences between the early-modern U.S. and the current U.S. showed the behavioral changes of countries as they become powerful. It is concluded that China is not a world power at this stage. Yet, it is currently on the path towards becoming one, and is already reflecting characteristics of present-day U.S., a current world power.

This paper presents a novel approach to analyze historical documents through big data text mining, a methodology scarcely used in historical studies. It highlights how China as of now is most likely in a transitionary stage of becoming a world power.

A specification can be an effective contractual tool to help achieve green construction. In Hong Kong, a multifarious specification arrangement exists in the construction industry, despite progress being made in the public and private organizations towards green practice. The purpose of this paper is to propose a green specification framework by modeling after established green specification systems.

Three sample work sections of green specification have been prepared for concrete, paint and lighting to represent structural, architectural and building services trades, with which a series of interviews with construction stakeholders was conducted. Assisted by a structured questionnaire, the time, cost, quality and liability implications of the proposed framework were studied.

Apart from minor additional cost, time and liability impacts, which would level off with increasing use of green products and practice, the quality of construction is perceived to be good if the framework is adopted.

The proposed framework embraces the important facets for specifying green construction. A roadmap is also recommended for its sustainable adoption. The methodology and results will be of good reference value for other jurisdictions.

Based on the knowledge management (KM) perspective, innovation diffusion theory and technology-organization-environment framework, the purpose of this paper is to develop a research model to investigate the influence of technological (information technology (IT) support and IT effectiveness), organizational (top management support, sharing culture, and reward system) and environmental (competitive pressure) contexts on the two-stage KM diffusion (KM adoption and implementation) in small and medium enterprises (SMEs).

Data gathered from 119 SME senior managers (including owner, vice president, and business manager) in Taiwan were employed to test the relationships between the research model constructs using the partial least squares approach.

The results showed that technological, organizational, and environmental factors have different effects on KM adoption and implementation stages. Specially, IT support has the strongest effect on KM adoption stage, while sharing culture has the strongest effect on KM implementation stage.

IT support continues to be positively related to the level of KM implementation after adoption. KM diffusion requires managers to invest time and effort to link specific IT support and knowledge-based work activities, since effective IT deployment for KM can help SMEs move toward a knowledge society, which is vital in the contemporary knowledge economy.

Theoretically, the findings of this study contribute to empirical research on contextual factors that influence KM diffusion using a broad data set rather than a few isolated SME cases. From the managerial perspective, given the importance of KM diffusion in modern SMEs and also in the future, the findings of this study are designed to enable owner-managers and practitioners to understand how SMEs KM diffusion is influenced by contextual factors, and how the effects may vary across different stages.

In the complex ecosystem of mobile applications multiple factors have been used to explain users’ behavior, without though focusing on how different combinations of variables may affect user behavior. The purpose of this paper is to show how price value, game content quality, positive and negative emotions, gender and gameplay time interact with each other to predict high intention to download mobile games.

Building on complexity theory, the authors present a conceptual model followed by research propositions. The propositions are empirically validated through configurational analysis, employing fuzzy-set qualitative comparative analysis (fsQCA) on 531 active users of mobile games.

Findings identify ten solutions that explain high intention to download mobile games. Alternative paths are identified depending on the gender and the time users spend playing mobiles games. The authors highlight the role of price value and game content quality, as well as that of positive emotions, which are always core factors when present.

To identify complex interactions among the variables of interest, fsQCA is employed, differentiating from traditional studies using variance-based methods, leading to multiple solutions explaining the same outcome. None of the variables explains the intention to download on its own, but only when they combine with each other. The authors extend existing knowledge on how price value, game content quality, emotions, gender and gameplay time combine to lead to high intention to download mobile games; and present a methodology for how to bridge complexity theory with fsQCA, improving our understanding of intention to adopt mobile applications.

Video-based learning (VBL) is gaining increased attention as an educational means in settings such as the flipped classroom and massive open online courses. The value of VBL has been recognized in a range of contexts due to the ability to extend opportunities for life-long education for all socio-economic levels, removing geographical boundaries while at the same time alleviating time constraints. Yet, despite the advantages featured by VBL and some promising early outcomes regarding its effectiveness, little is known about what influences individuals to adopt VBL systems and technologies. The paper aims to discuss this issue.

Building on behavioral and adoption-acceptance theories as well as on past empirical studies on e-learning, a conceptual model of VBL adoption is proposed. By analyzing survey data from 260 VBL learners, the conceptual model is put to test by means of structural equation modeling.

Outcomes indicate that performance expectancy (PE) and computer self-efficacy (CSEF) have a positive direct effect on behavioral intention to adopt VBL. In addition, effort expectancy (EE) and social influence positively impact PE, while CSEF is found to enhance EE and perceived behavioral control.

This study integrates several theoretical perspectives that are applied to adoption of novel information technologies and in addition builds on findings of past empirical research on learning technologies. In effect, the conceptual model along with outcomes provide an integrative perspective of adoption determinants.

Work on construction sites involves individuals with diverse character, temperament,age, physical strength, culture, religion and experience level. A good number of these individuals are also alleged to involve themselves in substance and alcohol abuse due to the physically demanding nature of their work. These could promote the prevalence of violence on construction sites which could in turn affect safety on construction sites. However, there is a lack of empirical insight into the effect of violent behaviour and unsafe behaviour on construction sites. This study therefore pioneers an empirical inquiry into the relationship between violent behaviour and unsafe behaviour on construction sites.

Seventeen violent behaviours and 15 unsafe behaviours were measured on 12 construction sites among 305 respondents using a structured questionnaire. A total of 207 valid questionnaire responses were collected from site workers. Partial least square–structural equation modelling (PLS-SEM) technique was used to examine the relationship between violent behaviour and unsafe behaviour.

The results indicate that there is a significant positive relationship between violent behaviour and unsafe behaviour on construction sites.

The findings from this study provide valuable insight into a less investigated dimension of the problem of construction site safety management. A focus on attitudinal issues such as how workers relate toward others and toward self should be an important consideration in safety improvement interventions on construction sites.

The aim of this study is to shed light on the relative importance of Chinese (Mainland China and Hong Kong: CH-HK) foreign direct investments (FDIs) in real estate (FDIRE) on the dynamics of Asia-Pacific (APAC) public real estate markets after the Global Financial Crisis.

Using a parsimonious real estate asset-pricing model including macroeconomic risk factors, the authors develop a metric to measure FDIs in the real estate sector. The authors use a panel VAR approach based on robust econometric methodology (generalized method of moments) and deal with potential endogeneity and an eventual causality problem. The authors also compute multiple metrics to measure the Chinese, US and Japanese FDIs in the real estate sector.

The study results report a positive significant impact of CH-HK FDIRE on APAC public real estate returns, while FDIRE originating from outside China are not significant. The authors also show that Chinese investors use the channel of FDIs in Diversified Listed Property Companies (LPCs) and Hotel and Family LPCs to gain exposure to the APAC real estate markets. The study results suggest that APAC property markets are mainly impacted and emphasize the importance of an intercontinental diversification strategy for investors in LPCs in the APAC region.

Contrary to Bond et al. (2003) who identified that APAC public real estate markets were overwhelmingly idiosyncratic in the decade preceding China's WTO membership (1990–2001), the study findings underline that Chinese FDIRE became a common factor affecting all eight markets in this study in the decade following the global financial crisis (2007–2017). The results emphasize the importance of an intercontinental diversification strategy for investors in LPCs in the APAC region.

The authors use a parsimonious model, introduce metrics to measure FDIRE and apply a panel VAR approach based on a robust econometric methodology to shed light on China's economic globalization strategy on Asia-Pacific public real estate markets after the GFC. The study results highlighting the major impact of CH-HK FDIRE on securitized real estate market returns dynamics, identify the existence of an Asian common factor driven by Chinese FDI inflows into neighbouring countries.