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The purpose of this paper is twofold: first, to show the impact of greenhouse gas emission scenarios on annual temperature and precipitation changes during three periods of the twenty-first century in Setif region by using two selected GCMs; and second, to show the importance of “Setif-Hodna” hydraulic transfers’ project, like a method to adapt to the water scarcity in the future.

This study investigates likely changes in annual temperature and precipitation over Setif high plains region (North-East of Algeria) under four Special Report on Emission Scenarios scenarios: A1B, B1, A2 and B2, between three time slices: 2030, 2060 and 2090. MAGICC-SCENGEN 5.3v.2 was used as a tool for downscaling the two selected general circulation models.

The projections of GFDLCM20 and GFDLCM21 indicate that annual temperature will increase under the four scenarios and across the three time slices. GFDLCM20 predictions indicate a general decrease in mean annual precipitation across the four scenarios, with average of −3.02, −2.47 and −1.07 percent in 2030, 2060 and 2090, respectively. GFDLCM21 show a high decrease, with values of −18.72, −27.2 and −31.9 percent across the three periods, respectively.

This work is one of the first to study the impact of greenhouse gas emission scenarios on annual temperature and precipitation changes over the region, and present the hydraulic transfers project “Setif-Hodna” like an adaptive strategy to limit the effect of water scarcity in this region.

The purpose of this paper is to assess the inter-seasonal temperature and precipitation changes in Setif high plains region under future greenhouse gas emissions, by using four general circulation models (GCMs) output data between three time slices of twenty-first century. The objective is to show the vulnerability of the region and the strategy of adaptation to these changes.

This study investigates likely changes in seasonal temperature and precipitation over Setif high plains region (North East of Algeria) between three time slices: 2025, 2050 and 2075. The projections are based on the SRES A2 and B2 scenarios. MAGICC-SCENGEN 5.3v.2 was used as a tool for downscaling the four selected GCMs output data. The vulnerability of the region, coupled with the possible impacts climate change, stresses the need for adaptive strategies in key sectors in the region for the long term sustainable development.

The results for change in seasonal temperature indicate a general warming under the two scenarios till the year 2075.The results of GFDLCM21 and GFDLCM20 show a general reduction of spring and autumn precipitations and an increase in winter and summer. BCCRBCM2 predicts a decrease in winter, spring and summer precipitations and an increase in autumn. Climate change, as well as increases in climate variability, will alter precipitation, temperature and evaporation regimes, and will increase the vulnerability of Setif high plains to changes in hydrological cycles. Climate and weather forecasting coupled with biotechnological advances in improving crop yields and tolerances to aridity, is likely to bring significant payoffs for strategy of adaptation in the field of agricultural water management.

This work is one of the first to study inter-seasonal temperature and precipitation changes under global warming over the region, and suggest some adaptive strategies to limit the effect of these changes.

The Best Management Practices for Sustainable Urban Drainage System including On-Site Detention have been introduced in the Storm Water Management Manual for Malaysia. Flash floods are becoming frequent in the urbanised areas in this country. Inefficient drainage system has been highlighted as one of the factors. Urban drains were reported incapable of coping with the unexpected heavy rainfall. Concrete drains are favourable in construction industry for economic reasons. An experimental research was conducted out to investigate the effectiveness of infiltration integration with drainage system to reduce flash flood. This laboratory research was conducted in the Universiti Teknologi Malaysia. Experiments were performed for selected drainage bed slopes and focussed on several spacing between precast drain sections along the system. The total and infiltrated flow rates, water surface and velocity profiles were examined. The results showed that drain flow rates were reduced by 60.9%–89.6% when the spacing between drain sections were enlarged. Meanwhile, the flow depths in drain sections were dropped by 48.2%–68.9%, and the water velocity was lowered up to 49% as the spacing between drain sections were increased. The study found that the drainage bed slope also influenced the performance of the infiltrated concrete drainage system.

This study is conducted to determine the factors that affect profitability in Chinese listed companies (by using financial ratios). Four independent variables liquidity, intangible assets, working capital and company leverage were empirically tested for their relationships with profitability besides two control variables which are firm size and company efficiency.

This study used secondary data extracted manually from the annual reports of non-financial Chinese listed companies on the Shanghai stock exchange (http://www.szse.cn/); the data set covers 100 companies during the period of 2017–2019, and a random selection method was used in order to achieve credibility and fairness as much as possible.

The findings show firm size, working capital and intangible assets have positive and significant relationships with profitability [return on assets (ROA) and earnings per share (EPS)]. Positive working capital is important to lower the cost of capital and improve companies' profitability. Intangible assets are also an essential source to improve profitability due to their low costs. In addition, the findings display a negative and strong relationship between liquidity and profitability, meaning that companies suffer low profit due to inefficient use of liquid items. Interestingly, leverage, which is measured by debt ratio and leverage ratio, shows mixed results; debt ratio shows a positive and strong association with ROA but not with EPS; while leverage ratio displays a strong but negative association with ROA but not with EPS. These results confirm the inverted U-shape relationship between leverage and profitability, which depends on the balance between benefit and cost of debt.

Profitability is also important for employees and society where business organization provides sustainability and stability for both of them. Employees can then significantly contribute to achieve higher firm's profitability by efficiently using firm's resources.

This study differs than previous studies in number of aspects: First, this study focuses on financial ratios to explain profitability in Chinese companies. This study provides empirical results about the factors connected to profitability and help stakeholders to make their right decisions. Second, it examines the impact of four independent factors and two control variables that some of them are new in Chinese context such as intangible assets. Third previous studies focus on financial industry such as banks; however, this study focuses on non-financial industry.

As organizations increasingly engage with consumers over mobile devices, there is a growing need to understand how consumers react to impression management over platforms with limited textual content. The purpose of this paper is to empirically assess how different impression management tactics can be used in mobile media to enhance consumer perception-attitude-intentions toward a corporate brand.

We surveyed 670 consumers and estimate structural equation models and repeated-measures ANOVAs to determine how short passages employing alternate impression management tactics influence consumers’ perceptions, attitudes and purchase intentions.

Results reveal that each impressions management tactic (i.e. ingratiation, intimidation, organizational promotion, supplication and exemplification) influences consumer perceptions, attitudes and intentions. The authors compare differences in how the impressions management tactics influence each stage of the perception-attitude-intentions model and find evidence that initial differences in perceptions favoring ingratiation and exemplification appeals become magnified for purchase intentions.

Recent calls for research focus on an understanding of how consumers process information on reduced-content platforms of small-screened mobile devices. These results provide empirical evidence of the use of impression management and the difference between five impression management tactics on enhancing consumer perception-attitude-intentions model.

The results of this study will provide marketers with insights to optimize communications and corporate brands with consumers over mobile media.

This paper adds to the nascent yet vital literature on mobile marketing by focusing on how impression management tactics influence perceptions, attitudes and intentions through the short message characteristic of mobile platforms. The authors develop a framework for how corporate brand management can strategically use impressions management tactics in this novel domain.

This study aims to determine the effect of health knowledge on nutrition-label use and attitude, and consequently on healthy food choice among Malaysian Muslim consumers.

This study adopts the positivist, deductive and quantitative approach. A sample consisting of 257 Muslim consumers, at least 15 years old, were selected using systematic street-intercept sampling method. Data collected using a self-administered questionnaire were analysed using descriptive statistics and structural equation modelling (SEM).

The findings reveal the significant positive effect of health knowledge on nutrition-label use and attitude towards nutrition label, but only attitude towards nutrition label significantly predicts healthy food choice.

Though the findings add to the existing literature, provide useful information on how nutrition label could guide the consumer to make healthier food choices and serve as a reference point that could stimulate and guide future researchers and other relevant parties, this study is limited by several factors that require replication in future research.

This research is perhaps one of the first attempts to consider the role of nutrition label as one of the ways to comply with the Tayyib principle.

This study aims to examine the impact of social advertising (informative, entertainment, credibility, ease of use, privacy and contents) on the buying behavior of Muslim consumers toward the fashion clothing brands during the Holy Month of Ramadan along with the moderating role of brand image. Precisely, it focuses on the marketing techniques and strategies in social advertising to enhance buying behavior.

Using the convenience sampling technique, data was collected from 304 Muslim consumers during the Holy Month of Ramadan. Questionnaires were self-administered, and data was analyzed via Smart partial least square structural equation modeling.

Social advertising (informative, entertainment, credibility, privacy, ease of use, contents) and brand image have a positive relationship with the buying behavior of Muslim consumers toward the fashion clothing brands during the Holy Month of Ramadan, while the brand image has nonmoderating effects. Furthermore, social advertising has a positive and significant relationship with the brand image.

This study is only limited to fashion clothing brands in the Malaysian Muslim community and is based only on the few dimensions of the theory of reasoned action and technology acceptance model (TAM).

Results clarified the impact of social advertising and brand image on the buying behavior of Muslim consumers toward the fashion clothing brands during the Holy Month of Ramadan and the moderating role of brand image in achieving the business objectives.

This study has evaluated the effects of social advertising and brand image in enhancing the buying behavior of Muslim consumers during the Holy Month of Ramadan toward the fashion clothing brands along with the moderating role of brand image based on the theory of reasoned action and TAM model. Precisely, this study examined the unique characteristics of social advertising and the relative importance of informative, entertainment, credibility, ease of use, privacy and content in enhancing the buying behavior of Muslim consumers during the Holy Month of Ramadan, where consumers are emotionally involved in buying fashion clothing brands due to Eid al Fitr celebration.

This paper aims to present a survey concerning the accuracy of thermoplastic polymeric parts fabricated by additive manufacturing (AM). Based on the scientific literature, the aim is to provide an updated map of trends and gaps in this relevant research field. Several technologies and investigation methods are examined, thus giving an overview and analysis of the growing body of research.

Permutations of keywords, which concern materials, technologies and the accuracy of thermoplastic polymeric parts fabricated by AM, are used for a systematic search in peer-review databases. The selected articles are screened and ranked to identify those that are more relevant. A bibliometric analysis is performed based on investigated materials and applied technologies of published papers. Finally, each paper is categorised and discussed by considering the implemented research methods.

The interest in the accuracy of additively manufactured thermoplastics is increasing. The principal sources of inaccuracies are those shrinkages occurring during part solidification. The analysis of the research methods shows a predominance of empirical approaches. Due to the experimental context, those achievements have consequently limited applicability. Analytical and numerical models, which generally require huge computational costs when applied to complex products, are also numerous and are investigated in detail. Several articles deal with artificial intelligence tools and are gaining more and more attention.

The cross-technology survey on the accuracy issue highlights the common critical aspects of thermoplastics transformed by AM. An updated map of the recent research literature is achieved. The analysis shows the advantages and limitations of different research methods in this field, providing an overview of research trends and gaps.

This study aims to explore the largely under-researched area of user perceptions of artificial intelligence (AI)-driven recommendations and how the visibility of AI-driven labels influences impulsive buying behavior on social media platforms. Addressing a gap in existing literature, it further examines the moderating effects of generational differences and the mediating role of consumer knowledge, providing new insights into how these factors shape consumer responses to AI-driven content in social media.

This study used a quantitative approach, using consumer surveys to explore the direct and indirect impacts of AI-driven recommendations and the visibility of AI-driven labels on impulsive buying behavior through social media. A conditional process analysis was conducted to examine how generational differences act as a moderator and how consumer knowledge of AI serves as a mediator in these relationships. This analysis integrated these factors into a single framework to provide a detailed understanding of how consumers respond to AI-driven personalization in social media.

This study confirms that AI-driven personalization effectively nudges impulsive buying on social media, with personalized recommendations impacting behavior more subtly than AI labels. Consumer knowledge does not mediate this effect, while generational differences emerge as a significant moderator; Millennials are found to be more responsive to both recommendations and labels in comparison to Gen Z, possibly due to less familiarity with AI technologies present in social media.

This study identifies limitations such as its reliance on consumer perceptions from a questionnaire rather than direct interactions with AI-driven features. While insightful, future research should incorporate actual user data, like clickstreams, and include a wider range of generational cohorts to deepen the understanding of AI’s impact on impulsive buying behavior.

This study bridges gaps in the literature by examining the combined effects of AI-driven recommendations and visibility of AI-driven labels on impulsive buying behavior, offering new insights into the role of generational differences and consumer knowledge in AI-based social media marketing.