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A case is made for developing “Relationally Integrated Value Networks for Total Facilities Management” (RIVANS-TFM) by synergistically connecting significant stakeholders of the project management (PM) and facilities management (FM) phases to deliver substantially better value for the end users of built infrastructure. The paper aims to discuss these issues.

A structured questionnaire survey enabled identification of typically significant stakeholders in the PM and FM phases. In total, 14 key stakeholders were identified through t-test analysis in this Sri Lankan study. Semi-structured interviews unveiled relationships among the aforementioned stakeholders and the findings were used to develop the “required” RIVANS-TFM, as well as the “existing” RIVANS-TFM, using the UCINET social network analysis software package. Social network theory of relationships was applied to analyze the networks in terms of “Structural Holes” or missing links and “Brokerage Potentials.”

Structural holes analysis highlighted the existing setup to be more vulnerable to missing links than the “required”/targeted setup. Furthermore, brokerage potentials analysis revealed that owners, project managers, facility managers, maintenance engineers, main contractors, designers, principal consultants, and other specialist consultants can act as “brokers” to bridge the gaps or minimize structural holes, thereby uplifting and reinforcing the existing network to deliver better performance and value in TFM.

By revealing existing and required levels of integration of each stakeholder in RIVANS-TFM, clients are provided a great opportunity to identify the stakeholders who should be engaged more, or less – in order to best achieve clients’ long-term aspirations and project objectives. Furthermore, the findings also indicate appropriate levels of stakeholder relationships to target, in order to maintain efficient flows of information, material and services in the supply chains while enhancing TFM life-cycle values.

The purpose of this paper is to develop a collaborative facilities management (CFM) model incorporating facilities management (FM) functions that can be shared and performed collaboratively by two or more organisations to enhance the performance of FM functions of collaborating organisations.

A critical literature review followed by a preliminary investigation was used to identify main categories of FM functions that can be performed collaboratively and dimensions that affect FM collaboration. Subsequently, a detailed list of FM functions that can be performed collaboratively under eight different contexts based on three dimensions identified through observations, document reviews and in-depth interviews with experts who have experience in each context.

The paper introduces a novel concept of CFM to share utility/infrastructure facilities, facility services and information by two or more organisations to maintain, improve, adapt and ensure functionality of the built environments of the collaborating organisations. The study identified core business, geographical location and ownership as the key dimensions that affect CFM concept. The outcome of the study, which is CFM model, proposes FM functions that can be performed collaboratively and benefits of collaborating utilities/infrastructure facilities, facility services and information under the aforementioned key dimensions to create a win-win situation for the organisations.

The paper highlights the FM functions that can be performed collaboratively in order to provide favourable solutions for operational issues faced by facilities managers, while optimising the FM performance of the organisations.

The CFM model offers original insights to the FM functions that can be shared and performed collaboratively by organisations under different contexts to optimise the FM performance.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

By acquiring and growing knowledge, proactively using skills, and improving digital skills via project-based learning, students will be well-prepared for their future careers. In construction 4.0 and other digitally developing industries, it is essential for students that their education consists of digital training and innovation opportunities to foster proactive skills and prepare them effectively for the workforce.

The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

This study explores the role of proactive decision-making in enhancing academic motivation and career calling among university students in Central Asia. It aims to investigate how proactive traits and cognitive skills influence career calling and academic persistence while examining the moderating effects of demographic factors.

A convenience sample of 380 undergraduate business students from Kazakhstan was surveyed using validated scales for proactive decision-making, career calling and academic motivation. Data analysis involved correlation, regression and mediation tests using SPSS to evaluate relationships between variables and test the mediating role of career calling in the proactive decision-making-academic motivation link.

Proactive decision-making was found to significantly enhance career calling and academic motivation, with career calling partially mediating the relationship between proactive decision-making and intrinsic/extrinsic motivation. In addition, demographic variables, such as gender and GPA, moderated the effects of proactive decision-making on academic motivation.

This research contributes to the understanding of proactive decision-making in the educational context, particularly within international business education, by highlighting its role in shaping career aspirations and academic engagement. It provides new insights into the interplay between personality, decision-making and academic motivation in a Central Asian setting.

The purpose of this paper is to identify the determinants of dividend policy in an emerging and developing market.

The study employs a quantitative approach using 191 Sri Lankan firms and 1,337 firm-year observations as the sample. The authors apply a Binary Logistic Regression model to uncover the determinants of the propensity to pay dividends, and a Fixed Effect Panel Regression to investigate the determinants of dividend payout.

The authors identify past dividend decision, earnings, investment opportunities, profitability, free cash flow (FCF), corporate governance, state ownership, firm size and industry influence as the key determinants of propensity to pay dividends. In addition past dividends, investment opportunities, profitability and dividend premium are identified as the determinants of dividend payout. Moreover, there is a feedback between dividend yield and profitability in one lag and between dividend yield and dividend premium in two lags, as short-term relationships. Hence, past dividend decision or payout, profitability and investment opportunities are a common set of determinants with implications for both propensity to pay dividends and its payout. The findings support theories of dividends such as signaling, outcome, catering, life cycle, FCF and pecking order.

The findings are important for investors, managers and future research. Investors should focus on the determinants identified by our study when making investment decisions whereas managers should practice the same when formulating appropriate dividend policies for their firms. Future research should rely on propensity to pay dividends and its payout simultaneously to promote a theoretical consensus on the dividend determinant puzzle.

This is the first study that investigates determinants of propensity to pay dividends and dividend payout along with short-term relationships in a single study.

The present scenario of the Covid-19 pandemic, together with technological advancements, has provoked unprecedented turbulence in the education system, notably in universities, disrupting their conventional teaching and learning processes. Despite government support, teachers and students faced numerous challenges in the online teaching and learning process than expected. Extensive research has been undertaken to investigate the context of online education from the perspective of students, but less emphasis has been given to examining the views of teachers. Thus, the study aimed to explore attitudes of academics towards online teaching during the Covid-19 outbreak.

The study was conducted in Sri Lanka, with the population consisting of academics representing all state universities. An email survey was conducted randomly, and 355 academics responded to a Google form, out of which 332 refined questionnaires were used for analysis. Multi-item reflective indicators were used to operationalize the research constructs on a 7-point Likert scale. The face, content, and construct validities were ensured appropriately. The reflective-reflective two-stage hierarchical approach with disjoint option was applied to analyze the data using the Partial Least Squares Structural Equation Modelling (PLS-SEM) model. After rigorous and careful examination of data, the descriptive statistics revealed that the university academics are pretty distressed with their Internet connections and facilities at home to conduct online lectures.

Active student participation was just above the average, while teacher's attitudes towards online education, their willingness to continue it further seem quite unsatisfactory. Teacher readiness for online education appears to be acceptable only to a certain extent. The key findings of the study disclosed that the attitudes towards online teaching are determined by perceived usefulness, teacher readiness, perceived student participation whereas active student participation, a conducive teaching environment and institutional support have no significant impact on attitude towards online teaching. Further, the study contributed to the education literature analyzing online education in the Sri Lankan context.

This study sparked the debate and contributed to the literature exploring the concept from the side of teachers in which attitudes of teachers towards online teaching in Sri Lankan Contest.

Better identification of comfort preferences and occupant behaviour drivers is expected to improve buildings’ user-centred designs and energy operations. To understand the underline drivers of occupant behaviours in office buildings, this study aims to evaluate the inter-relationships among occupant energy behaviours, indoor environmental quality satisfaction, user control and social-psychological factors influencing occupant behaviours in New Zealand offices.

Using an occupant perception survey, this study identifies the occupant behaviour patterns based on multi-domain comfort preferences. A case study was conducted in five office spaces of a university in Auckland, New Zealand. Data were collected from 52 occupants and analysed using descriptive and binary logistic regression analysis. Indoor environmental quality, user control, motivational, opportunity and ability factors were the independent variables considered. A model to predict the behaviours using environmental, building and social-psychological aspects was developed.

The results showed that the primary sources of indoor environmental quality discomfort were related to thermal and air quality, while occupants’ indoor environmental quality satisfaction correlated with their comfort preferences. The outcomes emphasise how the connection between building systems and occupants’ comfort preferences affect the choice of occupant behaviours in offices. Also, the primary occupant behaviours were drinking hot and cold beverages, opening/closing windows and internal doors and adjusting clothing. The binary logistic regression analysis showed that occupants’ perceived user control satisfaction is the main driver for increasing window actions. No other independent variable showed a statistically significant association with other behaviours.

This study adopted a novel approach to assess the combined effects of comfort preferences, occupant energy behaviours and various environmental, building and socio-psychological factors for modelling energy-saving behaviours in office buildings.