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Social media has broadened the scope of luxury brand marketing and has emerged as a salient tool for Internet marketing campaigns in the post-pandemic world. Under the theoretical lens of the SOR model, this study aims to explore the nexus between brand social media marketing (BSMM) activities and online consumer brand engagement (CBE) via mediating consumers' emotions in the modest luxury fashion branding post-pandemic context.

This study conducted a post-pandemic survey in five major metropolitan cities in Pakistan with a total of 584 eligible young consumers who follow the fan pages of fashion brands. Structural equation modeling was used to test hypotheses.

The findings reveal that BSMM activities have a significant influence on three emotion states (pleasure, arousal and dominance); however, only pleasure and arousal significantly drive CBE (i.e. affective engagement and activation). Moreover, the results show that pleasure and arousal partially mediate the relationships between BSMM activities and affective and activation dimensions of CBE, while dominance fully mediates the relationship between BSMM activities and cognitive engagement. Interestingly, only affective engagement was shown to be the most potent component of CBE in fostering positive emotions toward luxury fashion brands.

This study contributes to the literature on social media marketing and consumer brand engagement by revealing valuable insights into post-pandemic luxury fashion branding that could assist academicians and marketing practitioners of non-Western markets.

The purpose of this study is to fill the gap by researching the direct effects of media and personal characteristics on online participation in climate change, indirect effects when mediated by interpersonal communication and personal characteristics as predictors of media communications as sources of information about climate change.

A structured questionnaire is distributed to collect data about the uses of communication sources and online responses toward climate change by using a quota sampling technique. The structural equation modeling by using Smart PLS 4 is used to explore the effects’ size.

Small levels of direct and indirect effects are found. Direct effects are found in online newspapers, YouTube, television news, personal relevance toward climate change and political interest in online participation in climate change. Indirect effects are found of WhatsApp on online climate participation through interpersonal communication. Personal relevance toward climate change has motivated respondents to take information about climate change from Facebook. Climate skepticism is found among respondents who have received information from television news/talk shows, printed newspapers and WhatsApp.

University teachers in Pakistan will have to work on educational strategies to increase the knowledge of university students about energy generation through carbon and renewable energy sources.

The results of this study highlight the communicative-cultural dimensions of online discourse about climate change in the context of the less-researched country of Pakistan. This is the first study of researchers’ knowledge that comprehensively defines the digital media ecology in the context of climate change considering Pakistan.

The globe has experienced a devastating COVID-19 pandemic, putting the planet under lockdown and causing social alienation. The near collapse of social and economic activities is disrupting the supply chain. Customer-required products were in low supply across the world. A slew of new digital firms springs up to fill the need during this time. This study aims to reach a holistic goal by better understanding customers' digitalisation behaviour. The first step is to review existing consumer digital psychology research to map this study’s current knowledge of the pandemic's early and late phases and the impact of digital businesses on consumer behaviour. Finally, it provides lawmakers with a future agenda for limiting the digital psychology of consumers and enterprises.

This study used the Scopus and Web of Science databases to extract records to follow the preferred reporting items for systematic reviews and meta-analyses statement. The final 57 papers were applied after the screening process. The digital environment, psychological digitalisation and behavioural changes were recognised as three primary classes based on a comprehensive examination of the previous literature. This study identified possible difficulties in earlier literature: the scarcity of collaborative and transdisciplinary research on digital psychology, which various academics have emphasised in the past. On the other hand, these investigations were primarily conducted in the psychological surroundings of technology users.

According to this study, digital psychology has improved significantly during the pandemic and many new digital start-ups have arisen. This study also used digital research to create a framework for a pandemic strategic response plan to help minimise the current COVID-19 pandemic and prepare for future outbreaks.

The study mapped existing literature on digital psychology alterations because of the novel COVID-19 outbreak.

The purpose of this paper is to propose a model that will demonstrate how the integration of Salam (exclusive agricultural commodity trade) with Takaful (micro-Takaful – a subdivision of Islamic insurance) and value chain can address major challenges facing the agricultural sector in Kano State, Nigeria.

The study conducted a thorough and critical analysis of relevant literature and existing models of financing agriculture in Nigeria to come up with the proposed model.

The findings indicate that measures undertaken to address the major challenges fail. In view of this, this study proposed Bay-Salam with Takaful and value chain model to solve a number of challenges such as poor access to financing, poor marketing and pricing, delay, collateral requirement and risk issues in order to avail farmers with easy access to finance and provide effective security to financial institutions.

The paper is limited to using secondary data. Therefore, empirical investigation can be carried out to strengthen the validation of the model.

The study outcome seeks to improve the productivity of the farmers through enhancing their access to finance. This will increase their level of production and provide more employment opportunities. In addition, it will boost financial inclusion, income generation, poverty alleviation, standard of living, food security and overall economic growth and development.

The novelty of this study lies in the integration of classical Bay-Salam with Takaful and value chain and create a unique model structure which the researchers do not come across in any research that presented it in Nigeria.

This study aims to investigate the amount and direction of economic policy uncertainty (EPU) spillover among six emerging market economies (EMEs), and to also ascertain arguments on the increased volatilities of uncertainty in most EMEs.

This study adopts a recent methodology developed by Baruník and Krehlík’s (2018) methodology to measure pairwise, composite and net spillover. This methodology helps investigate the size and direction of EPU spillover in EMEs. The unique feature of this methodology is its ability to capture frequency domain as well as time-frequency dynamics.

Inter-country static spillover connectedness among the EPU of the selected EMEs show that Korea-EPU is the main transmitter and recipient of spillover shocks among the EMEs across all frequency bands. The findings from this study also show evidence of spillover between EPU, GDP and SPX across the EMEs. The time-varying total spillover index analysis shows evidence of overall connectedness across the selected EMEs. Overall connectedness is highest in the short term. We document that global economic and financial events intensify the volatility of the total spillover across the selected EMEs.

This study extends the literature on studies conducted on EMEs as studies on EPU spillover has mainly focused on advanced economies. To address the limitation of previous empirical studies that were unable to address the amount and direction of spillover from a country to other countries, this study offers new insight on country-specific spillover amounts and causal patterns “to” and “from” the selected EMEs. The findings throw more light on the network connectedness across EMEs and hence aids investors to undertake precise investment decisions and intelligently plan their portfolio diversification strategies. We then introduce two new variables to the analysis and record evidence of high connectedness between EPU, gross domestic product and share price index in all the frequency bands.

Photovoltaic (PV) systems are experiencing exponential growth due to environmental concerns, unlimited and ubiquitous solar energy, and starting-to-make-sense panel costs. Alongside designing more efficient solar panels, installing solar trackers and special circuitry for optimizing power delivery to the load according to a maximum power point tracking (MPPT) algorithm are other ways of increasing efficiency. However, it is critical for any efficiency increase to account for the power consumption of any amendments. Therefore, this paper aims to propose a novel tracker while using MPPT to boost the PV system's actual efficiency accounting for the involved costs.

The proposition is an experimental pneumatic dual-axis solar tracker using light-dependent resistor (LDR) sensors. Due to its embedded energy storage, the pneumatic tracker offers a low duty-cycle operation leading to tracking energy conservation, fewer maintenance needs and scalability potential. While MPPT assures maximum load power delivery, the solar PV's actual delivered power is calculated for the first time, accounting for the solar tracking and MPPT power costs.

The experiments' results show an increase of 37.6% in total and 35.3% in actual power production for the proposed solar tracking system compared to the fixed panel system, with an MPPT efficiency of 90%. Thus, the pneumatic tracking system offers low tracking-energy consumption and good actual power efficiency. Also, the newly proposed pneumatic stimulant can significantly simplify the tracking mechanism and benefit from several advantages that come along with it.

To the best of the authors’ knowledge, this work proposes, for the first time, a single-motor pneumatic dual-axis tracker with less implementation cost, less frequent operation switching and scalability potential, to be developed in future works. Also, the pneumatic proposal delivers high actual power efficiency for the first time to be addressed.