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In the past decades, artificial intelligence (AI)-based hybrid methods have been increasingly applied in construction risk management practices. The purpose of this paper is to review and compile the current AI methods used for cost-risk assessment in the construction management domain in order to capture complexity and risk interdependencies under high uncertainty.

This paper makes a content analysis, based on a comprehensive literature review of articles published in high-quality journals from the years 2008 to 2018. Fuzzy hybrid methods, such as fuzzy-analytical network processing, fuzzy-artificial neural network and fuzzy-simulation, have been widely used and dominated in the literature due to their ability to measure the complexity and uncertainty of the system.

The findings of this review article suggest that due to the limitation of subjective risk data and complex computation, the applications of these AI methods are limited in order to address cost overrun issues under high uncertainty. It is suggested that a hybrid approach of fuzzy logic and extended form of Bayesian belief network (BBN) can be applied in cost-risk assessment to better capture complexity-risk interdependencies under uncertainty.

This study only focuses on the subjective risk assessment methods applied in construction management to overcome cost overrun problem. Therefore, future research can be extended to interpret the input data required to deal with uncertainties, rather than relying solely on subjective judgments in risk assessment analysis.

These results may assist in the management of cost overrun while addressing complexity and uncertainty to avoid chaos in a project. In addition, project managers, experts and practitioners should address the interrelationship between key complexity and risk factors in order to plan risk impact on project cost. The proposed hybrid method of fuzzy logic and BBN can better support the management implications in recent construction risk management practice.

This study addresses the applications of AI-based methods in complex construction projects. A proposed hybrid approach could better address the complexity-risk interdependencies which increase cost uncertainty in project.

Urban built-up has been increasing exponentially in the world. Urban population growth and migration are depleting the land resources and creating thermal discomfort. Cities all around the world are facing urban heat island effects and increased temperatures. This study aims to map land cover and formulate local climate zones for enhancing urban resilience against disaster and climate risks.

This study uses exploratory research to identify local climate zones for Lahore, Pakistan. Landsat 8 imagery was used to develop a land use land cover map. For mapping local climate zones, the standard World Urban and Access Portal Tool procedure was used.

Results have revealed that Lahore has grown exponentially. Compact low rise and open low rise were the two most common local climate zones prevalent in the city. In contrast, the outer regions of the city consisted of LCZ D (low plants) and LCZ F (bare soil).

This study highlights the need to consider local climate zones in future development plans and policies for ensuring sustainable, resilient and climate-friendly cities.

Local climate zone studies are missing in Pakistan. This study has empirically analyzed the ground situation of local climate zones for Lahore metropolitan city. This study will provide baseline support for future studies on urban heat island and climate change adaptation planning.

Training remains an important factor in developing the managerial effectiveness and capability of small and medium-sized enterprises (SMEs), yet there are concerns regarding the quality of training provided to SME managers in Ghana, hence the weak managerial capabilities observed in SME management. This study, therefore, examines the impact of managerial training on the effectiveness of SME managers in Ghana.

Drawing on the human capital theory (Becker, 1962; Rosen, 1977), this study employs the variance-based estimating technique, partial least square structural equation modelling (PLS-SEM) in estimating the effects of training on the managerial effectiveness of SME managers. Adopting a stratified random sampling technique, the study uses primary data collected from 506 SMEs in Ghana to test 4 hypothesised paths.

First, the model result indicates that training accessibility and training content are statistically significant in explaining managerial effectiveness at a 1% level. However, both training efficiency and training frequency are statistically insignificant in explaining managerial effectiveness in Ghana. Second, while the industry category is found to influence the relationship between training and managerial effectiveness, gender, manager's age and education are insignificant in explaining any effects.

Though the sample size is large, the findings from this study could not be generalised to the whole of Ghana since it is regionally based. The study could benefit immensely from a triangulated method where a qualitative dimension could provide deeper insight into some of the findings in this study.

Studies of this nature focussing on the managerial effectiveness of SME managers in the Ghanaian context is rare. This is one of the few studies in the Ghanaian research context which focuses on the capability development approach in the delivery of managerial training to SMEs.

Achieving innovation performance (IP) through high-performance work system (HPWS) remained relatively unexplored. Literature on the HPWS-IP linkage mechanism raises a question mark and highlights the existence of a black box. Therefore, the present study aimed to empirically fill the gap in the literature by developing a framework to theorize HPWS nexus with IP through serial mediation of intellectual capital (IC) and organizational ambidexterity (OA).

To answer the study questions survey-based, multi-source and time-lagged data were collected to examine the proposed model. SPSS 24 version was used to evaluate descriptive statistics and through Smart-PLS 3.32., partial least square structural equation modeling (PLS-SEM) was employed to test the study hypotheses.

Study findings indicate that HPWS not only has a significant direct impact on IP but also has a significant indirect relationship with IP through the mediation of IC and OA. Both IC and OA also mediated this relationship serially.

The originality of the study lies in the fact that it studied HPWS as an antecedent of IC and OA and IP as the consequence. Further, the study fills the knowledge gap in previous literature in which limited or no study has used the serial mediation model with two mediators particularly IC and OA to explore the relationship between HPWS and IP.

Training improves workers’ competencies by eliminating or reducing mismatch between the levels of acquired and required skills. However, the question of who needs the training can be pertinently managed by training needs analysis (TNA). Thus, the purpose of this paper was to explore the training needs of Pakistani university librarians on collection management skills.

The study was conducted on a randomly selected sample of Pakistani university librarians. Using survey questionnaire method, a five-point Likert scale was utilized to measure the acquired and required levels of collection management skills (CMS). A paired sample t-test was used to ascertain the significance of difference between the acquired and required skills. Further, descriptive statistics were used to perform TNA.

Results of the paired sample t-test showed a significant difference among all indicators of CMS. Further, findings of TNA specified more than 50 per cent of deficit (over-utilization), less than 50 per cent of surplus (under-utilization) and 20 per cent of job best-fit in terms of CMS. Based on these results, training and top-down allocation of tasks are suggested to the higher authorities to manage over and under-utilization of CMS and to produce more job best-fits.

These findings are significant to design training programs on CMS, to revise courses on collection management, to evaluate performance of collection managers and understand the causes of under and over utilization of CMS. Moreover, findings inform librarians to eliminate mismatch in the levels of acquired and required CMS through training programs that may further enhance job best-fits.

The purpose of this study was to explicate how leaders’ knowledge hiding results in employees’ knowledge hiding. In addition, the study was intended to explore under what conditions leaders’ knowledge hiding affects employees’ moral disengagement more deleteriously.

Data were collected from 321 employees at three different times which were two months apart from each other. Structural equation modeling was used for data analysis.

The study found leaders’ knowledge hiding to be related to employee moral disengagement. In addition, the study found moral disengagement to affect employees’ knowledge-hiding behavior. Moral disengagement was found to mediate the relationship between leaders’ knowledge hiding and employees’ knowledge hiding. Finally, the study found that employees with high moral identity show more perseverance to preserve their moral engagement when led by knowledge-hiding leaders.

To the best of the authors’ knowledge, the study was first to establish a relationship between a leader’s knowledge hiding and employees’ moral disengagement. The study also established the mediating role of moral disengagement to work as a mediating mechanism linking leaders’ knowledge hiding to employees’ knowledge hiding. Finally, the study found that moral identity moderates the relationship between leaders’ knowledge hiding and employees’ moral disengagement.

Enterprise resource planning (ERP) implementation brings with it a set of challenges. In order to gain a better understanding of these and they can be mitigated during the implementation process, the purpose of this paper is to use Esteves and Bohórquez (2007) classification based on ERP lifecycle framework, and content analysis to review the literature on ERP implementation in a structured format with a focus on larger enterprises, and provide a platform for practitioners to plan implementation with minimum possibility of failure.

Esteves and Bohórquez (2007) classification based on the ERP lifecycle framework is used to develop and present a comprehensive structured review of the literature on ERP system implementation in large enterprises (LEs), with a particular focus on pre-implementation, implementation, and post-implementation.

Drawing from the literature, organisations can plan implementation based on the findings and strategies presented in the study. This can lead to a better understanding of implementation with minimal probability of failure. The authors find that top management support, good project management teams, and good communications are the top three most important critical successful factors during implementation. The authors also identify critical gaps in current research. Existing research focusses predominantly on the implementation phase, but research on pre- and post-implementation is lacking, and that no industry standard implementation methodology has been developed.

This review primarily focusses on the literature in the area of ERP implementation. ERP implementation planning involves access to effective implementation strategies. Despite the literature identifying a myriad of different ERP implementation models, no standard industry ERP implementation model has been developed. The findings for ERP implementation are repetitive, inconsistent, and lack empirical research, rendering these two of the most critical areas for future research, and collaboration between ERP practitioners, system developers, and researchers. Researchers, in turn, need to become more innovative in terms of their research techniques when examining ERP implementation.

This paper provides guidance to researchers and practitioners with an insight into published research work and their findings. It provides a better understanding of ERP implementation, which can be applied towards overcoming operational difficulties during the implementation process.

This study is innovated in its use of Esteves and Bohórquez (2007) classification based on the ERP lifecycle framework, and content analysis to present a comprehensive structured literature review of the ERP implementation literature with a specific focus on pre-implementation, implementation, and post-implementation in LEs between the period 1989 and 2014. The technique and time period used in this study differs from those of other studies on ERP implementation. The paper brings together theoretical and practical developments on ERP implementation under a single source, which should aid practitioners, researchers and ERP developers with future research and decision making.

This paper aims to investigate the disparity and compliance of information disclosures in Islamic banks (IBs). Specifically, the research examines IBs’ compliance with Sharia disclosure requirements.

To determine the extent of disclosures and compliance with Islamic business principles, content analysis is applied to the annual reports of a sample of IBs from 11 countries. A comprehensive reporting framework has also been developed to assess the transparency and compliance of IBs with Islamic business principles. Institutional theory and core Islamic principles are used to inform the study and its findings.

The results reveal that IBs demonstrate limited transparency on the key Sharia compliance issues, and there is a wide variation in the level of reporting across the countries studied. Moreover, the authors find that IBs located in the single integrated regulatory framework (RF) countries disclose more information, followed by those located in dual RF countries and then those located in Islamic RF countries.

This study presents a unique and comprehensive framework to assess the areas of Sharia disclosure by IBs and provides a conceptual rationing for the actual level of IBs’ Sharia reporting. This study also fills a significant gap in the literature, as most studies in this field are based on a single-country study. The results are deemed of direct relevance to IBs’ managers, investors, policymakers, regulators and the wider public, particularly in the Muslim world.

In today's constantly changing workplace, leaders encounter new challenges consequent to rising digitization. Tackling these problems effectively requires digital leadership, a prominent idea in discussions about what abilities the managers need to be developed in the digital age. The study analyses the leadership elements needed and determines the impact of digital leadership on sustainable performance. The aim of this systematic literature review (SLR) is to identify the relationship between digital leadership concepts and leadership development by proposing digital leadership for management development to ensure sustainable performance in an organisation.

ROSES (RepOrting Standards for Systematics Evidence Syntheses) was used as the publication standard for this systematic literature review, which incorporated a variety of research approaches. For this study's article selection, one of the most important scientific databases, Scopus, was used. Only articles published between 2001 and 2021 were reviewed. The focus of the article was on digital leadership and performance.

This review identified five main themes: leadership styles, measurements of leadership, antecedents to good leadership, outcomes of good leadership and gaps in current research areas. An additional ten sub-themes were derived from the five primary topics.

This paper systematically reviewed two decades of literature related to digital leadership and its impact on sustainable performance. The findings allow leaders to better understand the leadership trend and develop appropriate leadership practices to overcome future challenges for sustainable performance.

When the repercussions of COVID-19 were being absorbed by the world, the higher educational institutions (HEIs) were conceiving of strategies to run educational institutions on remote basis too, including the challenges linked with the teaching–learning as well as the management and other departmental needs. Leaning itself on the teaching–learning tectonic shifts amid the COVID-19 climes, the study reviews the status of “readiness” of the HEIs in Oman while bearing this in mind that the usage of information and communications technology (ICT) for distance learning and conventional learning has been considered as one of the parameters to judge the “quality” of the HEIs in Oman.

Documentary analysis alongside an in-depth reading of the quality audit reports sourced from the Oman Academic Accreditation Authority, which are publicly accessible are being referred for driving home the arguments in the study.

The study concludes that despite the case being in favor of distance learning from early on, the same doesn’t get reflected in the conclusions derived in the research conducted for assessing the teaching–learning mechanisms during the COVID-19 period. Therefore, the HEIs’ “readiness” in terms of ensuring the smooth transitioning to the remote learning pedagogical arrangements for meeting the challenges of the COVID-19 wasn’t efficacious.

The present study may be followed up with an understanding as to how the HEIs of Oman need to incorporate the perspectives of all the concerned stakeholders for the refurbishment of the teaching–learning process, especially in times of contingencies.

Apart from the policy-makers, the management of the HEIs of Oman needs to appreciate the need to be proactive and appreciative of the inclusion of ICT tools and techniques in the mainstream pedagogical settings.

Notwithstanding the emphasis upon the preparedness and readiness for tackling the challenges posed by the COVID-19 for the HEIs in Oman, no study has attempted to delve into the issue succinctly—the present study fills this gap.