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This study aims to present the climate change effect on potential evapotranspiration (ETP) in future periods.

Daily minimum and maximum temperature, solar radiation and precipitation weather parameters have been downscaled by global circulation model (GCM) and Lars-WG outputs. Weather data have been estimated according to the Had-CM3 GCM and by A1B, A2 and B1 scenarios in three periods: 2011-2030, 2045-2046 and 2080-2099. To select the more suitable method for ETP estimation, the Hargreaves-Samani (H-S) method and the Priestly–Taylor (P-T) method have been compared with the Penman-Monteith (P-M) method. Regarding the fact that the H-S method has been in better accordance with the P-M method, ETP in future periods has been estimated by this method for different scenarios.

In all five stations, in all three scenarios and in all three periods, ETP will increase. The highest ETP increase will occur in the A1B scenario and then in the A1 scenario. The lowest increase will occur in the B1 scenario. In the 2020 decade, the highest ETP increase in three scenarios will occur in Khorramabad and then Hamedan. Kermanshah, Sanandaj and Ilam stations come at third to fifth place, respectively, with a close increase in amount. In the 2050 decade, ETP increase percentages in all scenarios are close to each other in all the five stations. In the 2080 decade, ETP increase percentages in all scenarios will be close to each other in four stations, namely, Kermanshah, Sanandaj, Khorramabad and Hamedan, and Ilam station will have a higher increase compared with the other four stations.

Meanwhile, the highest ETP increase will occur in hot months of the year, which are significant with regard to irrigation and water resources.

The purpose of this paper is to assess the perceived level of Jordanian nurses’ competencies in offering care to the community during a disaster.

A correlational descriptive design was used to assess nurses’ competencies in offering care for the community during a disaster.

A total of 370 nurses (55 % males) aged 25−55 agreed to participate. The mean score of competencies of nurses who offer care to the community during the disaster was 2.11 (SD = 0.59) points. The results of correlation coefficient tests revealed a significant positive correlation between stated competencies level and nurses’ sex, receiving disaster education and training with rpb (371) = 0.13, p < 0.01; rpb (598) = 0.15, p = 0.004; rpb (598) = 0.21, p < 0.001, respectively. Furthermore, the “care of communities” subscale had a weak positive correlation with the.

Nurses play a critical role in disaster response. However, there was a gap in nurses’ competencies for disaster, which shows there is a crucial need to include disaster management courses in the nursing curriculum and update disaster management courses in hospitals based on nurses’ needs to improve their competencies during disasters.

This paper aims to investigate the impact of consumers’ perception of usability of product packaging on impulse buying in terms of its shape, color, material, label and size.

A structural equation model was used for testing the conceptual model. The present research is an applied research and a descriptive survey. By using non-probability sampling, 388 customers of different malls in Shiraz City (Iran) were selected and surveyed by using questionnaires.

Results showed that appropriate material, shape and labeling of packaging have a significant positive influence on consumers’ perception of usability of product packaging, while color and size of packaging do not have an impact on consumers’ perception of a product usability. Moreover, results showed that consumers’ perception of the usability of packaging has a significant positive influence on impulse buying. Consumers’ mood and time pressure had also positive influence on impulse buying, but their moderating role in their influence of consumers’ perception on impulse buying decision was not supported.

Although this research contributes to the product management literature, it has some limitations. For instance, the research model was tested in only one city in Iran (Shiraz). Besides, it is specific to only two product categories and concentrates mainly on consumers’ mood and time pressure as moderating factors.

To the best of authors’ knowledge, this study is the first research which examines the structural relationship of packaging elements on consumers’ perception of reusability of packaging and impulse buying while considering consumers’ moods and time pressure as moderator variables.

This paper aims to examine the impact of disclosure regulation on the levels of bias and accuracy in management earnings forecasts disclosed in the prospectuses of Malaysian initial public offering (IPO). Specifically, the authors investigated the two environments of regulation (mandatory versus voluntary) to draw some conclusions regarding the benefits of regulating disclosure of management earnings forecasts.

A sample of 111 Malaysian IPOs listing on the Main Market of Bursa Malaysia from January 1, 2004 to February 29, 2012 was used. The paper uses both univariate and multivariate statistical analyses on this sample of IPOs.

The empirical results of these multivariate regressions indicated that disclosure regulation has positive and significant impact on the bias and accuracy of management earnings forecasts disclosed in IPO prospectus. In general, the study results suggest that using disclosure regulation to improve the quality of IPO earnings forecasts can be, to some extent, an effective strategy.

The findings of this study have important implications for regulators and investors. The findings can provide them some relevant insights on the improvements to the earnings forecasts accuracy and trends of the forecast (optimistic or pessimistic) after the change from mandatory to voluntary disclosure. Thus, the authorities may learn whether this change is an effective policy or whether the regime of mandatory disclosure was better for IPO companies and should be reversed.

This study is regarded as the first attempt to investigate the impact of reforms in disclosure regulation on the quality of management earnings forecasts of IPO prospectuses in a developing nation such as Malaysia. In spite of this, the paper focuses on a single country, and it contributes significant insights to the debate about the credibility of IPO management earnings forecasts.

Presently, one of the major governance issues faced by management and shareholders of organizations is the gender composition of the boards of directors and audit committees. This study aims to examine the impact of gender diversity in audit committees on the accuracy of management earnings forecasts disclosure in initial public offering (IPO) prospectuses.

The study sample comprises 190 Malaysian companies issuing IPOs that transformed into public companies during the period 2002-2012. Earnings forecasts accuracy (quality) is proxied by absolute forecast error and the study model is developed based on the frameworks of the signalling theory, the agency theory and the resource-dependence theory.

The study proposes that female directors introduce a set of specific features in the boardroom that serve to improve investor protection and efficient monitoring of management. However, findings reveal an insignificantly positive relationship between gender diversity in audit committees and absolute forecast error, which shows that more female directors in audit committees could translate into more errors and less accuracy in earnings forecasts.

Considering the recent regulatory developments that encourage the number of women on the board of directors, the findings obtained have significant implications for policymakers. The study findings can also be invaluable to investors, investment analysts, market players and researchers.

The composition of the board of directors and audit committees in terms of gender plays a significant role in the promotion of effective corporate governance practices. This study is one of the pioneering studies that examines the advantages of gender diversity in the board of directors. It is also the first study to extend IPO literature by investigating the role of gender diversity in audit committees in the enhancement of accurate management earnings forecasts included in the IPO prospectuses.

Autism spectrum disorder (ASD) refers to a group of complex neurodevelopmental disorders characterized by repetitive and characteristic patterns of behavior and difficulties with social communication and interaction. Puberty is an important period for teenagers with ASD. The purpose of this study was to investigate the effect of educational program on increasing social skills (SS) and sexual knowledge (SK) in adolescent boys with high-functioning autism (HFA) disorder.

This study was conducted using a single-subject design. Participants were three boys diagnosed with HFA disorder, selected using purposive sampling. The social skills improvement system scale and the sexual knowledge questionnaire were used to measure SS and SK. The training program consisted of 49 sessions.

Results showed that, given the comparison of scores before and after the intervention, the training program was effective in improving SS and SK.

With regard to the importance of puberty, training programs for parents and adolescents play an effective role in increasing SS and SK of adolescents with HFA disorder.

This study aims to analyze the critical factors affecting workplace well-being at construction sites across countries with different income levels. Accordingly, this study’s objectives are to identify: critical factors affecting workplace well-being at construction sites in low-, lower-middle-, upper-middle- and high-income countries, overlapping critical factors across countries with different income levels and agreements on the critical factors across countries with different income levels.

This study identified 19 factors affecting workplace well-being using a systematic literature review and interviews with construction industry professionals. Subsequently, the factors were inserted into a questionnaire survey and distributed among construction industry professionals across Yemen, Zimbabwe, Malaysia and Saudi Arabia, receiving 110, 169, 335 and 193 responses. The collected data were analyzed using descriptive and inferential statistics, including mean, normalized value, overlap analysis and agreement analysis.

This study identified 16 critical factors across all income levels. From those, 3 critical factors overlap across all countries (communication between workers, general safety and health monitoring and timeline of salary payment). Also, 3 critical factors (salary package, working environment and working hours) overlap across low-, low-middle and upper-middle-income countries, and 1 critical factor (project leadership) overlaps across low-middle, upper-middle and high-income countries. The agreements are inclined to be compatible between low- and low-middle-income, and between low- and high-income countries. However, agreements are incompatible across the remaining countries.

This study can serve as a standard for maintaining satisfactory workplace well-being at construction sites.

To the best of the authors’ knowledge, this study is the first attempt to analyze factors affecting workplace well-being at construction sites across countries with different income levels.

The research on consumerism has been dramatically rising in recent decades. However, in the food industry, little research has been empirically conducted in the beverage industry. This research empirically tests the consequences of consumer perceptions: perceived price (PPR), perceived quality (PQ), perceived packaging (PPG) and perceived taste (PT) on repurchase intention (RI) particularly; it unveils the consumer attributes, e.g. gender, age and ethnicity between consumer perceptions and RI of the consumers.

The data were collected from 403 consumers of the beverage industry (e.g. Nestle, Mitchell's Fruit Farms, Murree Brewery and OMORE) in Pakistan. The researchers used online survey questionnaires followed by a cross-sectional approach because data collection physically was not possible due to COVID-19.

Data were analyzed by Smart partial least square structural equation modeling (PLS-SEM) 3.3.3, and the results supported the significant influence of consumer perceptions separately, e.g. PPR, PQ, PPG and PT on RI. Additionally, gender, age and ethnicity were found to have a moderating role between consumer perceptions and RI, so, the truth of having consumer attributes has been revealed.

The managers of beverage industries should provide ethical and operational strategies to tackle consumer's problems based on cultural norms. Furthermore, they should make sensible measures for the quality branding of the beverage products. In this way, the consumers will have a better experience of quality, price, taste and packaging, in turn, to RI.

This research targeted the beverage industry that needs facts and figures based on consumer attributes, e.g. age, gender and ethnicity. This research also disclosed the behaviors of consumers according to their gender, age and area of residence.

The purpose of this paper is to develop an effective approach to support and guide production improvement processes utilising online product reviews.

This paper combines two methods: (1) natural language processing (NLP) to support advanced text mining to increase the accuracy of information extracted from product reviews and (2) quality function deployment (QFD) to utilise the extracted information to guide the product improvement process.

The paper proposes an approach to automate the process of obtaining voice of the customer (VOC) by performing text mining on available online product reviews while considering key factors such as the time of review and review usefulness. The paper enhances quality management processes in organisations and advances the literature on customer-oriented product improvement processes.

Online product reviews are a valuable source of information for companies to capture the true VOC. VOC is then commonly used by companies as the main input for QFD to enhance quality management and product improvement. However, this process requires considerable time, during which VOC may change, which may negatively impact the output of QFD. This paper addresses this challenge by providing an improved approach.

In this study, polyvinyl alcohol (PVA)/poly[acrylic acid (AAc)-co-acrylamide (AM)] composite hydrogel was prepared by radical copolymerization in the presence of Fe³⁺ freezing-thawing method. The swelling behavior of the hydrogel was investigated. The novel synthesized hydrogel was used as an adsorbent for the removal of dyes from aqueous solutions. In this paper, methylene blue and maxilon blue 5G were selected as representative cationic dyes. In addition, adsorption isotherm models were used to describe the dye adsorption process.

The prepared composite hydrogel was characterized by Fourier transform infrared spectroscopy, thermogravimetric analysis, field emission scanning electron microscopy and UV–visible.

The prepared hydrogel exhibited excellent adsorption ability for both dyes. Various experimental conditions affecting the dye adsorption were explored to achieve maximum removal of both dyes. In addition, adsorption isotherm models were used to describe the dye adsorption process.

To the best of the author’s knowledge, synthesis of PVA/poly(AAc-co-AM) composite hydrogel in the presence of Fe³⁺ and investigation of the removal of methylene blue and maxilon blue 5G dyes is done for the first time successfully.