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This study aims to investigate the effects of peers on corporate payout policies in one of the largest emerging markets – India. It also examines the motives for mimicking payout decisions.

The sample is composed of 3,024 non-financial and non-government firms listed on the National Stock Exchange (NSE) and Bombay Stock Exchange (BSE) for the period 1995 to 2020. To encounter the endogeneity problem, the instrumental variable technique based on peer firms' idiosyncratic risk is used to estimate the effects of peers on firms' payout policy. To define peer reference groups, the authors use the basic industry classification of the firms.

The results indicate a significant positive impact of peers on firms' dividend policies in India. A firm with all dividend-paying peers is more likely to declare dividends than the one with no dividend-paying peers. Further, peer effects are found to be more pronounced amongst larger and older firms, thus supporting the rivalry theory of mimicking.

To the best of the authors' knowledge, the present study is the first of its kind that attempts to understand peer effects on payout decisions in an emerging market India, that offers a unique institutional setting. Moreover, the authors extend the existing literature by investigating the peer effects on a firm's payout policies considering various firm-level characteristics, such as growth opportunity, cash holding, financial constraint and profitability, which previous studies have not taken into consideration. These results provide additional insights into the heterogeneity and motives behind peer effects.

Building Information Modeling (BIM) capabilities have been studied at the individual, project, organizational, and even industry levels to ensure the realization of BIM value in the architectural, engineering, construction, and operation industry. However, limited research has focused on a project owner organization perspective to investigate owner BIM capabilities that are required to ensure effective project management and delivery. This present study aims to propose an indicator framework to evaluate owner BIM capabilities at the organizational level.

Leveraging the existing literature on BIM capabilities and synthesizing insights from the resource-based view and information technology capabilities research, this study conceptualizes the BIM capabilities of project owner organizations and offers a framework of indicators for measurement. Semi-structured interviews with BIM experts and a questionnaire survey were conducted to identify key indicators affecting owner BIM capabilities. A six-dimensional structural equation model with 29 indicators was then established.

The findings highlight the multidimensionality of owner BIM capabilities and show that process capabilities play a crucial role in enhancing owner BIM capabilities, while technical capabilities are considered as the least important aspect.

The study sheds light on the key role of project owner organizations in ensuring BIM value and suggests that project owners focus more on the organizational processes of introducing BIM in managing projects.

This study reconceptualizes owner BIM capabilities drawing on the idea of resource-based view and information technology capabilities and highlights the important dimensions and indicators of owner BIM capabilities at the organizational level.

Managers of megaprojects face social risk management challenges throughout the various design, construction, and operation stages, owing to the various conflicts of interest among stakeholders, public skepticism, and opposition. However, most existing studies have not focused on the dynamic analysis of integrating social risks in these stages. This study developed a dynamic analysis approach to explore the dynamics of critical social risk factors and related stakeholders of megaprojects and built the managerial maps for various stakeholders.

Based on the social analysis network (SNA), a dynamic network analysis approach for understanding the dynamics of social risk and related stakeholders has been developed by literature and case analysis. The approach comprises the following steps: (1) generating social risk–stakeholder networks in different stages; (2) analysis of the critical stakeholders and social risk factors; (3) dynamic analysis of social risk factors; and (4) developing social risk management maps for various stakeholders. To verify the feasibility and effectiveness of the approach, 40 megaprojects from China were analyzed.

According to the results, the local government is a critical stakeholder during all stages, inadequate information promotion (IIP) and imperfect communication and coordination mechanism (ICCM) are key social risk sources throughout the megaproject life cycle. Furthermore, the management maps for government organizations, project implementation groups, and external stakeholders were constructed.

This research has three contributions. First, a dynamic analysis approach of stakeholder-associated social risks in megaprojects is developed, which enriches the social risk management theory of megaprojects and provides inspiration for future research focus. Second, the social risk–stakeholder networks and critical social risks in different stages are confirmed to provide a more valid and accurate picture of social risk management in megaprojects. Third, the social risk managerial maps for different stakeholders built in this research will be beneficial for governments, project implementation groups, and external stakeholders to optimize management strategies.

The existing literature has been mainly focused on local problems but without an overall framework for studying the top-level planning of intelligent construction from a systematic perspective. The purpose of this paper is to fill this gap.

This research adopts a deductive research approach.

This research proposes a reference architecture and related business scenario framework for intelligent construction based on the existing theory and industrial practice.

The main contribution of this research is to provide a useful reference to the Chinese government and industry for formulating digital transformation strategies, as well as suggests meaningful future research directions in the construction industry.

This article examines the relationship between the cash conversion cycle (CCC) and profitability in countries in the Middle East and North Africa (MENA) region.

The authors used dynamic panel methodology to analyze a dataset consisting of 395 firms from nonfinancial sectors in the MENA countries from 2013 to 2018. The authors developed several models consisting of different measures of profitability, CCC and the components of CCC. The control variables were used in the models at different levels.

The results bring out a significantly positive relationship between the CCC and profitability. However, mixed results have been obtained for industry and country details. The quadratic model revealed an inverted U-shaped relationship and the presence of an optimal point of CCC. The robustness checks have confirmed the results of the main models.

The results of the study imply that corporate managers and policymakers ought to pay equal attention to the components of CCC when developing working capital policies and be aware of the optimal level of CCC.

This paper handles the endogeneity problem that is inherent in the relationship. It investigates and confirms the nonlinear characteristics of the relationship. To the best of the authors' knowledge, this study is the first to use dynamic panel models to examine the CCC and its relationship with profitability in the MENA context.

This paper aims to explore the impact of interprofessional healthcare collaboration among nurses on patient healthcare services in the United Arab Emirates (UAE).

Data were gathered through a randomly distributed questionnaire (N = 248), constructed using established scales or the variables under study. The sample consisted of nurses and patients from various hospitals and clinics across the UAE. The collected data were analyzed using SPSS (Version 28) and Amos (Version 29) software, employing factor analysis, reliability testing and mediation analysis.

The study reveals a positive relationship between swift trust (ST) and its dimensions with both team interactive behavior (TIB) and nurse team creativity (TC). TIB was found to significantly mediate the effect of ST on TC. Additionally, based on closed-ended questions, a positive correlation was observed between team task conflict (TTC) and TC. However, no significant impact of TTC on nurse TC was identified through open-ended questions.

This research presents a unique analysis of the influence of interprofessional collaboration on patient healthcare services in the UAE, offering valuable insights for policy improvement by enhancing nursing conditions. Furthermore, the study contributes to the existing literature by examining the relationship between ST, TIB, TTC and TC.