Using the assumptions of Sternberg Duplex Theory of Hate, the present study reveals the combined effects of similar competitor offer and narcissistic personality on brand equity through the underlying mechanism of brand hate. Specifically, we hypothesize that brand hate mediates the relationship between similar competitor offer and brand equity. Moreover, we propose that similar competitor offer and brand hate relationship are stronger for narcissistic individuals. By employing a multi-wave time-lagged research design, we collected data from a sample of dairy product (...) consumers in Pakistan. The findings of moderated-mediation regression analyses indicate that Brand hate mediates the relationship between similar competitor offer and brand equity; and Narcissistic personality moderates a similar competitor offer and brand hate relationship such that a high similar competitor offer led to greater brand hate when narcissism was high. Furthermore, conditional indirect effects reveal that brand hate mediates the relationship between similar competitor offer and brand equity only with individuals exhibiting narcissistic personality traits. The current study offers great insights to managers that by managing similar competitor offer, they can manage the development of brand hate, which can subsequently effect brand equity. Moreover, by profiling customers on the basis of their personalities, marketing managers can effectively invest only in customers with positive tendencies. The current study is unique in that it highlights new avenues in existing research by extending the nascent domain of brand hate in consumer–brand relationships. (shrink)

Climate change has increasingly been recognised and associated with consumer behaviour: Practitioners are developing their strategies to reduce environmental degradation while increasing the management of sustainable consumption; it needs to better understand consumer attitudes and eco-friendly factors about the issue. Therefore, the current study focused to understand the effects of pro-environmental factors on individuals’ environmental attitudes through the lens of theory of planned behaviour in a cross-cultural setting. Moreover, present research focuses on the moderating role that religiosity plays in causal (...) pathways between certain determinants and intentions in this context. A multi-wave time-lagged research design was employed in this study, and university students from two developing countries were surveyed. The findings revealed pronounced similarities between the two examined countries. Overwhelmingly, pro-environmental factors examined were found to be positively related to attitude formation. Further results showed that attitude and subjective norms are significant predictors of the intention to purchase products with recycled packaging. Moreover, with the exception of perceived behavioural control, religiosity moderates the relationships between all the determinants of TPB and intention to purchase recycled packaged products. Present study offers insightful implications to management of these emerging and/or similar cultural markets regarding customer value for green products. Using TPB, present study broadened and deepen extant stream of literature on consumption of recycled packaged products in two highly emerging markets; Pakistan and Malaysia. (shrink)

To optimize the weak robustness of traditional face recognition algorithms, the classification accuracy rate is not high, the operation speed is slower, so a face recognition algorithm based on local binary pattern and stacked autoencoder is proposed. The advantage of LBP texture structure feature of the face image as the initial feature of sparse autoencoder learning, use the unified mode LBP operator to extract the histogram of the blocked face image, connect to form the LBP features of the entire image. (...) It is used as input of the stacked AE, feature extraction is done, realize the recognition and classification of face images. Experimental results show that the recognition rate of the algorithm LBP-SAE on the Yale database has achieved 99.05%, and it further shows that the algorithm has a higher recognition rate than the classic face recognition algorithm; it has strong robustness to light changes. Experimental results on the Olivetti Research Laboratory library shows that the developed method is more robust to light changes and has better recognition effects compared to traditional face recognition algorithms and standard stack AEs. (shrink)

Tax payments stimulate business enterprises to choose tax management through tax avoidance activities, which is the legal practice to reduce the amount of tax payable. In developing economies, taxation is considered more critical for budget and revenues of a country. This paper investigates whether various business strategies influence corporate tax avoidance decisions of firms by adopting business strategies. Besides, it explores how gender diversity can ease this relationship. This study has chosen a sample of organizations from non-financial sector in Pakistan. (...) The time frame is 5 years, including once a year. The present model employed a generalized moment method and tested the proposed hypothesis to draw the results. The study has taken the size, leverage, and business profitability as control variables of firms. The study outcomes by using the GMM method demonstrate that the presence of female directors reduces tax avoidance behavior in prospector companies. This study provides insight into future research for stakeholders, government officials, tax authorities, and policymakers. The findings offer valuable recommendations and practical insights and implications. The findings provide future directions for research to test different frameworks to attain beneficial results to promote the responsibility of tax payment culture. (shrink)

A training physician has his first interaction with a pharmaceutical representative during medical school. Medical students are often provided with small gifts such as pens, calendars and books, as well as free lunches as part of drug promotion offers. Ethical impact of these transactions as perceived by young medical students has not been investigated in Pakistan before. This study aimed to assess the association of socio-demographic variables with the attitudes of medical students towards pharmaceutical companies and their incentives.

An intelligent climate and watering agriculture system is presented that is controlled with Android application for smart water consumption considering small and medium ruler agricultural fields. Data privacy and security as a big challenge in current Internet of Things (IoT) applications, as with the increase in number of connecting devices, these devices are now more vulnerable to security threats. An intelligent fuzzy logic and blockchain technology is implemented for timely analysis and securing the network. The proposed design consists of various (...) sensors that collect real-time data from environment and field such as temperature, soil moisture, light intensity, and humidity. The sensed field information is stored in IoT cloud platform, and after the analysis of entries, watering is scheduled by implementing the intelligent fuzzy logic and blockchain. The intelligent fuzzy logic based on different set of rules for making smart decisions to meet the watering requirements of plant and blockchain technology provides necessary security to the IoT-enabled system. The implementation of blockchain technology allows access only to the trusted devices and manages the network. From the experimentation, it is observed that the proposed system is highly scalable and secure. Multiple users at the same time can monitor and interact with the system remotely by using the proposed intelligent agricultural system. The decisions are taken by applying intelligent fuzzy logic based on input variables, and an alert is transmitted about watering requirements of a field to the user. The proposed system is capable of notifying users for turning water motor on and off. The experimental outcomes of the proposed system also reveal that it is an efficient and highly secure application, which is capable of handling the process of watering the plants. (shrink)