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This study explores the role of the Internet of Things (IoT) as an enabler for Lean Construction principles and tools in construction projects.

In response to the scarcity of studies about IoT functionalities in construction, a two-round systematic literature review (SLR) was undertaken. The first round aimed to identify IoT functionalities in construction, encompassing an analysis of 288 studies. The second round aimed to analyze their interaction with Lean Construction principles, drawing insights from 43 studies.

The outcome is a comprehensive Lean Construction-IoT matrix featuring 54 interactions. The highest levels of interaction were found in the Lean Construction principle “flow” and the functionality of “data transfer and real-time information sharing”.

The study focuses on the role of IoT as an enabler for Lean Construction. Future work can cover the role of Lean as an enabler for advanced technology implementation in construction.

The Lean Construction-IoT matrix serves as a resource for researchers, practitioners, and decision-makers seeking to enhance Lean Construction by leveraging IoT technology. It also provides various examples of how advanced technology can support waste elimination and value generation in construction projects.

This study aims to examine the role of financial inclusion and institutional factors such as corruption and the rule of law (RL) on the credit risk and stability of banks.

The study considers a sample of 61 developing countries and uses very robust estimation techniques that allow controlling for endogeneity, heteroskedasticity and serial correlation, such as instrumental variables method in two-stage least squares (IV-2SLS), instrumental variables generalized method of moments (IV-GMM), as well as system of generalized methods of moments in two stages (Sys-2GMM).

The results confirm that financial inclusion and strengthening the RL can significantly contribute to reducing credit risk and improving the financial stability of banks; in contrast, the authors find that weak control of corruption aggravates credit risk. In addition, they found that greater competitiveness in the banking sector increases credit risk.

This study supports the need to promote financial inclusion and strengthen institutional factors to improve the stability of the banking sector, as well as promote general well-being in the economy.

This study contributes to the scarce literature by simultaneously using institutional factors such as corruption and the RL and macroeconomic variables such as economic growth and inflation in the relationship between financial inclusion and the banking sector, as well as considering competitiveness as an explanatory factor for banks’ credit risk and stability.

The study aims to investigate the impact of financial inclusion (FI) on environmental quality and the mediating role of industrialization (IZ). In addition, these relationships among the counties with different levels of income and carbon emissions were also analyzed.

This paper used the International Monetary Fund database for indicators of FI. The environmental indicators were obtained from the World Bank database for a panel of worldwide countries from 2004 to 2019. Separate indices of environmental sustainability (ES) and environmental degradation (ED) were created by using principal component analysis . The generalized method of moments regression was applied to examine the relationship between variables.

The study found full mediation of IZ between FI and ES, whereas partial mediation between FI and environmental degradation. The results were found robust against alternative measures of carbon emissions. Furthermore, the study also bifurcated the sample according to the level of income and carbon emission. It was found that FI plays a positive role in the betterment of environmental quality for high-income countries, while a negative role in upper-middle-income, lower-middle-income and low-income countries. Besides, FI has a negative role in the ES of the countries having higher or lower carbon emission levels.

Empirically this study contributes by creating two different novel measures of ES and environmental degradation, in contrast to other studies that solely relied on carbon emission. Contrary to previous studies, this study suggests that FI is not solely responsible for environmental damages, and IZ is the key channel by which FI shifts its impact on ES. Moreover, for environmental degradation, there are some other channels involved that need to be investigated further. This study has also noted that the relationship between FI and ES is context-dependent. Theoretically, this paper contributes to the literature by using ecological modernization theory in the nexus of FI, IZ and environmental quality.

Asia is the largest and most densely inhabited region in the world. Despite exhibiting an extremely expeditious economic growth, the majority of the world population categorized as poor resides in Asia, with more than a billion people financially excluded. This study aims to assess how social sustainability (SS) may increase financial inclusion (FI) and maintain financial stability (FS) in Asia.

Established on the stakeholder theory, the study analyzed the association among SS, FI and FS in Asia, employing a generalized method of moment’s estimation. The mediation of FI was also investigated in the relationship between SS and FS. Moreover, this study has analyzed the alternative proxies for the variables of interest to ensure dynamic results.

The findings point toward a positive association among SS, FI and FS. Furthermore, FI is observed to be undertaking a partial mediating role between SS and FS.

This study emphasizes that both SS and FI have individual parts in the amelioration of FS in Asia, whereas previous studies implied that FI is a mere tool for stimulating SS. Hence, Asian policymakers must keep these outcomes in mind due to their simultaneous contribution to FS.

The relationship between SS, FI and FS has received little attention in the literature. No previous study has deduced that increasing SS may instigate an increase in FI and FS. Additionally, quite contrary to previous studies that relied on narrow indicators, this study develops a broad measurement of SS by considering a wide range of crucial indicators for a sustainable society.

The paper aims to investigate the relationship between institutions and economic growth in developing countries, considering the role of financial inclusion, education spending and military spending.

The study employs dynamic panel analysis, specifically two-step system generalized method of moments (GMM), on a sample of 61 developing countries over the period 2009–2020.

The results confirm that weak institutional quality, weak financial inclusion and increased military spending are barriers to economic growth, conversely, increased spending on education and gross capital formation contribute to economic growth in developing countries. Regarding the specific institutional factor, we find that corruption, ineffective government, voice and accountability and weak rule of law contribute negatively to growth.

The study calls for strengthening institutions so that the financial system supports economic growth and suggests increasing spending on education to improve access to and the quality of human capital, which is an important determinant of economic growth.

The study contributes to scarce literature by empirically analyzing the relationship between institutions and economic growth by considering the role of financial inclusion, public spending on education and military spending, factors that have been ignored in previous studies. In addition, the study identifies the institutional dimension that contributes to reduced economic growth in developing countries.

This study aims to examine the impact of financial inclusion and financial innovation on corruption, considering the moderating role of education, as well as identify the specific modality of digital inclusion and payments that contribute to corruption reduction.

The study uses a representative sample consisting of 46 African countries in three different years 2011, 2014 and 2017. On the data, feasible generalized least squares (FGLS), instrumental variables – two stages least squares (IV-2SLS) and two-stage generalized method of moments (IV-2GMM) model estimation methods were employed.

The results suggest that financial inclusion and education significantly reduce corruption. As well, the interaction between financial inclusion and education reduces corruption. Additionally, the authors find that the expansion of bank credit and the use of credit and debit cards are the specific modes of financial inclusion and digital payments that can contribute to corruption reduction.

This study awakens policymakers in African countries about the need to consider education as an alternative measure to support financial inclusion and reduce the use of physical cash in transactions for an effective fight against corruption.

Regarding practical implications, the study shows that financial inclusion besides reducing poverty for households can contribute to macroeconomic stability in Africa.

The study uses a representative sample composed of 46 African countries and considers the role of education in moderating the relationship between financial inclusion and financial innovation on corruption. Furthermore, the study identifies the specific modality of financial inclusion and digital payments that contribute to corruption reduction.

This article provides a critical review of four constructs-organizational identification, organizational commitment, occupational identification, and occupational commitment-to advance our understanding about how public sector employees from different occupations may become psychologically attached to their organizations. This review is intended to clarify previous inconsistencies as well as spark new interest among public administration researchers to examine sources and consequences of public employees’ organizational identification and commitment. This article also elucidates about how public sector employees’ attachment to their occupations may influence their attachment to their organizations. In that effort, this article reviews interrelationships among the four constructs. Finally, based on the patterns of connections observed, a future research program including seven testable research propositions is proposed.

This chapter investigates the presence of a difference in the systemic risk level between Islamic and conventional banks in Bangladesh. The authors compare systemic resilience of three types of banks: fully fledged Islamic banks, purely conventional banks (CB), and CB with Islamic windows. The authors use the market-based systemic risk measures of marginal expected shortfall and systemic risk to identify which type is more vulnerable to a systemic event. The authors also use ΔCoVaR to identify which type contributes more to a systemic event. Using a sample of observations on 27 publicly traded banks operating over the 2005–2014 period, the authors find that CB is the least resilient sector to a systemic event, and is the one that has the highest contribution to systemic risk during crisis times.

The purposes of this paper are: (1) to identify what types of business process operation controllers are discussed in literature and how can they be classified in order to establish the available body of knowledge in the literature, and then, (2) to identify which concepts are relevant for business process operation control and how are these concepts related in order to offer a reference model for assessing how well are control layers enforced in the dynamic stable nature of an enterprise' business processes operation.

One cycle of the circular framework for literature review as proposed by Vom Brocke et al. (2009) is followed. Five stages are comprised: (1) definition of review scope (Section 1 and 2), (2) conceptualization of topic (Section 3), (3) literature search (Section 4), (4) literature analysis and synthesis (Section 5), and (5) definition of a research agenda (Section 6 that also concludes the paper). Vom Brocke, J., Simons, A., Niehaves, B., Niehaves, B., Reimer, K., Plattfaut, R., and Cleven, A. (2009), “Reconstructing the giant: on the importance of rigour in documenting the literature search process”, ECIS 2009 Proceedings, Vol. 161.

Results indicate that (1) many studies exist in the literature, but no integrated knowledge is proposed, hindering the advance of knowledge in this field, (2) a knowledge gap exists between the implemented solutions and the conceptualization needed to generalize the solution to other contexts. Also, the ontology proposed provides a reference model for assessing the maturity of the business process control operation.

The contents contained in the paper needs to be further deepened to include the concepts of “business process management” and “business process mining”, as well as a semantic equivalence study between concepts can integrate better this conceptual framework and identify similarities. Then, the relationship between industries and dynamically stable business processes operation concepts have not yet been fully investigated. Thirdly, the atypical curve of interest that business processes operational control has been receiving in literature is not fully understood.

Some example applications that could benefit from this ontology are (1) security policy for business processes fine grained access control; (2) business processes enforced with decentralized policies, e.g. blockchain; (3) business process compliance and change; or (4) intelligent enterprise decision-making process, e.g. using AI trained neural network to support the human decision to choose if a control actuation is positive or negative instead of relying only on human-based decisions.

We understand that business process operation is a dynamically stable system, where steady motion is achieved with the continuous imposition of actor's actions. Therefore, all the work that contribute to the development of knowledge regarding the actor's actions in their execution environment offer the ability to optimize, and/or reengineering, business processes delivering more social value or better social conditions.

In the best of our knowledge this work is unique in the sense that integrates a set of concepts that is rarely, or never, combined. Table 3 corroborates this result.

This paper aims to investigate the motivating factors for Malaysian governmental agencies (MGAs) to embrace chatbot technology.

Based on the technology-organisation-environment (TOE) framework, using purposive and snowball sampling techniques, 262 online data from the MGA top management were gathered. Smart PLS4 was employed to test the hypotheses of the study.

The findings demonstrated positive relationships between technological readiness (TR), big data analytics (BDA), organisational readiness (OR), organisational learning capabilities (OLC) and governmental policies (GP) concerning chatbot adoption intention and also the relationship GP with OR. A mediating effect was also observed, which indicated the OLC role in positively mediating BDA, the OR role in positively mediating OLC and the OR role in positively mediating GP with OR and OLC as sequential mediators in the relationship between BDA and chatbot adoption intention. Furthermore, the presence of citizen demand (CD) strengthened the relationship between TR, OR and chatbot adoption intention.

This study was limited to Malaysian federal government agencies who still not adopting Chatbots.

The findings offer valuable insight into factors affect the adoption of chatbots among Malaysian government agencies. Stakeholders, including department heads, can use these findings to strategically enhance counter service by promoting chatbot adoption.

The study demonstrated that the TOE framework was effective in identifying the factors contributing to the decision-making process for adopting chatbots across MGAs. Organisational readiness and organisation learning capability was found to sequentially mediate the relationship between big data analytic and intention to adopt chatbot. Citizen demand was found to have moderation effect on the relationship between organisational readiness and technological readiness towards the intention to adopt a chatbot.