Search results

The purpose of this paper is to develop and demonstrate a comprehensive 3D spatio-temporal maintenance management model for high-rise residential buildings by integrating Industry 4.0 technologies and lean maintenance principles. This model aims to optimize maintenance scheduling, enhance resource utilization and improve decision-making processes. By leveraging advanced data visualization and predictive analytics, this study seeks to address the complexities of building maintenance, ensure timely interventions, reduce downtime and extend the lifespan of building assets, ultimately leading to more efficient and sustainable maintenance management practices.

Integrating state-of-the-art technologies such as big data analytics and artificial intelligence into the proposed model is geared towards benefiting from optimized maintenance scheduling and resource allocation, hence achieving minimum asset downtime and extension in asset life. This is being done through the digitization of paper maps, the development of 3D building models in AutoCAD and SketchUp and the placing of the developed models into ArcGIS Pro. The PostgreSQL database with PostGIS extension supports optimal storage and management of spatial data towards real-time updates and advanced analyses.

The results revealed that the model enhances maintenance planning considerably better than traditional methods due to the revelation of meaningful patterns and trends that are not visible in conventional visualization methods. Temporal analysis indicates increasing needs for maintenance through time, whereas spatial analysis can point out the units that require special attention. The spatiotemporal analysis is needed to determine overall maintenance requirements for better decision-making. The work demonstrated that 3D visualization of maintenance activities performed over building representation helps facility managers in better decision-making related to task planning for performance improvement concerning building and tenant satisfaction.

The study’s current limitations include the reliance on specific datasets and technologies, which may need adaptation for broader applications. Future research could explore further integration with additional building types and longitudinal studies to assess long-term impacts.

The 3D visualization of maintenance activities over building representation aids facility managers in better decision-making related to task planning, improving building performance and tenant satisfaction. This integrated approach provides significant benefits in efficiency, resource use and sustainability.

The originality of this paper lies in its innovative integration of 3D spatio-temporal data with Industry 4.0 technologies and lean maintenance principles to create a comprehensive maintenance management model for high-rise residential buildings. Unlike traditional approaches, this model combines advanced data visualization, real-time analytics and predictive maintenance strategies within a unified geographic information system framework. This holistic approach not only enhances maintenance planning and resource allocation but also provides a proactive, data-driven methodology that significantly improves the efficiency and effectiveness of maintenance management, addressing the unique challenges of high-rise residential building maintenance.

The purpose of this systematic literature review (SLR) is to examine the theoretical landscape of knowledge hiding (KH) research, identifies prevailing theories, the different ways KH is understood within these theories and the underlying assumptions that shape these views. Based on this, ideas for further research are derived to advance the theoretical basis of KH studies.

Using a theory-based SLR, the authors analysed 170 scientific papers from Scopus and Web of Science. This involved thematic analysis to categorise theories frequently applied in KH research and a detailed examination to link core assumptions to these theoretical perspectives.

The analysis revealed a reliance on 86 distinct theories, with a notable emphasis on social exchange theory and conservation of resources theory. KH is predominantly conceptualised as a negative, objective, reactive and relational behaviour rooted in social reciprocity and resource conservation. The review uncovers the multifaceted nature of KH, challenging the field to incorporate broader theoretical views that encompass positive aspects, subjective experiences, strategic intentions and non-relational determinants of KH.

To the best of the authors’ knowledge, this is the first study to systematically map and analyse the theoretical underpinnings of KH research. It offers a unique contribution by categorising the diverse theories applied in KH studies and explicitly linking these theories to their inherent assumptions about KH. This approach provides a comprehensive overview that not only identifies gaps in the current research landscape but also proposes alternative theoretical perspectives for exploring KH, thereby setting a new direction for future studies in this field.

The purpose of this study is to investigate the effect of olive cake (OC) on oxidant/antioxidant biomarkers, lipase activity and on the histological analysis of epididymal fat, in high-fat diet (HFD)-induced obese rats.

Male obese rats were divided into two groups and were fed an HFD supplemented (HFD-OC) or not (HFD) with OC for 28 days. A control group was fed a standard diet for the same experimental period.

HFD significantly increased body weight, which was reduced by OC in the HFD-OC compared to HFD (p = 0.038). Lipase activity was higher (52%; p = 0.009) in the HFD group than the control group. Administration of OC to the obese rats decreased significantly this activity (38%; p = 0.025) compared to the HFD group. Serum thiobarbituric acid-reactive substances, lipid hydroperoxide and advanced oxidation protein products levels were significantly increased in the HFD group than the control group (p = 0.032, p = 0.023 and p = 0.017, respectively). These levels were significantly reduced in HFD-OC compared to the HFD group (p = 0.030, p = 0.021 and p = 0.010, respectively). Superoxide dismutase, glutathione peroxidase and catalase activities were decreased (53%; p = 0.04), (61%; p = 0.03) and (32%; p = 0.002), in the HFD group than the control group. OC restored these activities (46%; p = 0.01), (58%; p = 0.003) and (30%; p = 0.0003) in the HFD-OC rats than the HFD rats. Consumption of the HFD resulted in adipocyte hypertrophy. Indeed, epididymal adipocyte size was significantly larger in the HFD group than the control group (p = 0.0001), whereas it was reduced in the HFD-OC compared to the HFD group (p = 0.012).

OC possesses an anti-obesity effect. This effect might be mediated by lipase inhibition, reduced oxidative stress and increased antioxidant activities. In addition, the reduction of fat accumulation in adipose tissue by OC consumption is reflected by reducing adipocyte size.

This study aims to examine how positive supervisory support plays a role in attenuating employees’ knowledge-hiding behavior via the underlying mechanism of psychological ownership and workplace thriving. Integrating the social information processing perspective and conservation of resource theory, this study suggests that due to the mediating role of employee psychological ownership and workplace thriving, positive supervisor support may negatively affect knowledge-hiding behavior.

Hypotheses were tested with multiwave three-round survey data collected among 432 individuals in various Pakistani hotels.

This study found that supervisory support attenuated knowledge-hiding behavior by enhancing psychological ownership and workplace thriving serially. As expected, the supportive conduct of the supervisor positively influenced psychological ownership which, in turn, helped workplace thriving and eventually influenced employees’ knowledge hiding.

This study contributes to the extant body of knowledge on knowledge hiding by highlighting a significant antecedent that supervisory support may be instrumental in discouraging knowledge hiding. Furthermore, this study detailed an underlying serial mediating mechanism in the shape of psychological ownership and workplace thriving that connects supervisory support with reduced knowledge hiding.

Despite the importance of tourism ethnocentrism in emerging tourism destinations, there is limited, but growing, research interest in this area. This study aims to respond to current calls for investigating mechanisms that can promote tourism ethnocentrism in both emerging and developed tourism destinations.

Given the increasing organizational need for having a thriving workforce due to the fast-growing and competitive knowledge-based service economy and growing demand to explore new factors that may benefit individuals to excel at work. Drawing upon the intrinsic motivation perspective, with a Chinese sample (N = 309), the authors aimed to investigate whether work-related curiosity (WRC) may create conditions that indirectly promote employees' workplace thriving via task focus and whether this mediation was moderated by an individual's personality difference, i.e. core-self evaluations.

A time-lagged study among full-time employees who happen to be part-time students in the executive development program was used to test the hypothesized model by employing a structural equation modeling approach.

WRC showed a significant positive association with task focus which in turn was positively related to workplace thriving. Furthermore, as predicted, the positive association between WRC and workplace thriving via task focus was stronger for employees with high core self-evaluations compared to those with low core-self evaluations.

The results of this study suggest that an individual's WRC can be instrumental in augmenting workplace thriving by providing a scientific explanation for the underlying psychological process of task focus and identifying the factors associated with the process, such as core-self evaluations. This study contributes to extending the literature on significant employee outcomes, i.e. thriving at work, by offering new empirical and theoretical insights that WRC may play a critical role in the process and identifying a boundary condition of personality factor, i.e. core-self evaluations.

Wealth Management Products (WMPs) are the largest and most crucial component of China's Shadow banking, which are off the balance sheet and considered as a substitute for deposits. Commercial banks in China are involved in the issuance of WMPs mainly to; evade the regulatory restrictions, move non-performing loans away from the balance sheet, chase the profits and take advantage of yield spread (the difference between WMPs yield and deposit rate).

In this study, the authors investigate what bank related characteristics and needs; influenced and prompted the issuance of WMPs. By using a quarterly panel data from 2010 to 2019, this study performed the fixed effects approach favored by the Hausman specification test, and a feasible generalized least square (FGLS) estimation method is employed to deal with any issues of heteroscedasticity and auto-correlation.

This study found that there is a positive and significant association between the non-performing loan ratio and the issuance of WMPs. Moreover, profitability and spread were found to play an essential role in the issuance of WMPs. The findings of this study suggest that WMPs are issued for multi-purpose, and off the balance sheet status of these products makes them very lucrative for regulated Chinese commercial banks.

Non-guaranteed WMPs are considered as an item of shadow banking in China, as banks do not consolidate this type of WMPs into their balance sheet; due to that reason, there is no individual bank data available for the amount of WMPs. The authors use the number of WMPs issued by banks as a proxy for the bank's exposure to the WMPs business.

From a regulatory perspective, this study helps regulators to understand the risk associated with the issuance of WMPs; by providing empirical evidence that Chinese banks issue WMPs to hide the actual risk of non-performing loans, and this practice could mislead the regulators to evaluate the bank credit risk and loan quality. This study also identifies that Chinese banks issue WMPs for multi-purpose; this can help potential investors to understand the dynamics of WMPs issuance.

This research is innovative in its orientation because it is designed to investigate the less explored wealth management products (WMPs) issued by Chinese banks. This study's content includes not only innovation but also contributes to the existing literature on the shadow banking sector in terms of regulatory arbitrage. Moreover, the inclusion of FGLS estimation models, ten years of quarterly data, and the top 30 Chinese banks (covers 70% of the total Chinese commercial banking system's assets) make this research more comprehensive and significant.

This study aims to explore the firm's specific, opacity and economy-specific variables to explain the variation in South Asian market returns and indicate that how the difference in adoption of accounting standards refers to the effect of the movement in stock returns.

Following the scope of the study, factor analysis, fixed effect, Driscoll and Kraay standard errors (DKSE) and Panel Corrected standard error (PCSE) models have been inducted to determine the influence of firm-specific, opacity and economy-specific variables on stock returns. The sample of study comprises 1,885 firms from five countries located in the South Asia region with the period 2005–2018. To ensure the reliability of data, firm-specific data have been collected from DataStream International, while an international country risk guide was used to compile the data for economy-specific variables.

This study concluded that firm-specific variables showed a consistent and significant association with stock return except for beta, accrual and momentum while earning aggressiveness was the only factor in opacity measure to capture the variation in stock return. The implementation of international accounting standards seemed to be significant and proves to be helpful to enhance the quality of accounting information.

The limitations of this study comprised the estimation error by avoiding the firm's observations with negative equity in case of earning opacity and majority (more than 50%) of the observation belongs to a single market as India out of final sample which leads to having biasedness in findings.

This study helps the investors to consider the firms with smaller market capitalization and lower book to market ratio and avoid the momentum strategy under firm specific factors. Moreover, earning aggressiveness under opacity domain capture the variation in stock return and must be considered while investing funds.

The influence of adoption of international accounting standards along with firm and economy specific variable in South Asian Equity Markets return was the major contribution. Moreover, the inclusion of DKSE and PCSE models to examine the relevance of the financial and economic informational environment was also considered as a part of major contribution of this study.

This research study proposes a feature-centric spam email detection model (FSEDM) based on content, sentiment, semantic, user and spam-lexicon features set. The purpose of this study is to exploit the role of sentiment features along with other proposed features to evaluate the classification accuracy of machine learning algorithms for spam email detection.

Existing studies primarily exploits content-based feature engineering approach; however, a limited number of features is considered. In this regard, this research study proposed a feature-centric framework (FSEDM) based on existing and novel features of email data set, which are extracted after pre-processing. Afterwards, diverse supervised learning techniques are applied on the proposed features in conjunction with feature selection techniques such as information gain, gain ratio and Relief-F to rank most prominent features and classify the emails into spam or ham (not spam).

Analysis and experimental results indicated that the proposed model with sentiment analysis is competitive approach for spam email detection. Using the proposed model, deep neural network applied with sentiment features outperformed other classifiers in terms of classification accuracy up to 97.2%.

This research is novel in this regard that no previous research focuses on sentiment analysis in conjunction with other email features for detection of spam emails.

This paper examines the relationship between the extent and quality of the four dimensions of corporate social responsibility disclosure (CSRD) namely community, environment, workplace and marketplace with the long-run share price performance of Malaysian initial public offering (IPO) companies.

This study utilised secondary data by the content analysis of the annual reports and Datastream of 115 IPOs listed from 2007 to 2015 in Malaysia. The IPO’s performance was determined by calculating the return measures under the equally weighted and value-weighted schemes of the mean abnormal returns and buy-and-hold abnormal returns covering the three years post-listing using the event-time approach.

The findings demonstrate that Malaysian IPOs experience substantial overperformance and underperformance when both the IPO performance measures are benchmarked against the matched companies and market. The results indicated that the extent and quality of the community and environment CSRD dimensions are positively and significantly correlated to the IPO’s performance. On the other hand, the extent and quality of the workplace and marketplace CSRD dimensions are negatively and significantly correlated to the IPO performance.

Malaysian regulators could benefit from these findings in their endeavour to carry out a reform process on CSRD to improve its quality. The results of this study are important to investors, regulators, non-government organisations, communities and policymakers. They also enhance the understanding of companies about the importance of disclosing greater CSR information to improve their performance and profitability.

To the researchers' best knowledge, this study provides new insights into the association between CSRD and the performance of Malaysian IPO companies, which is considered important.