The aim of this study is to explore social media marketing activities and their impact on consumer intentions. This study also analyzes the mediating roles of social identification and satisfaction. The participants in this study were experienced users of two social media platforms Facebook and Instagram in Pakistan. A self-administered questionnaire was used to collect data from respondents. We used an online community to invite Facebook and Instagram users to complete the questionnaire in the designated online questionnaire system. Data were (...) collected from 353 respondents, and structural equation modeling was used to analyze the data. Results show that SMMAs have a significant impact on the intentions of users. Furthermore, social identification mediates the relationship between social media activities and satisfaction, and satisfaction mediates the relationship between social media activities and the intentions of users. This will help marketers how to attract customers to develop their intentions. This is the first novel study that used SMMAs to address the user intentions with the role of social identification and satisfaction in the context of Pakistan. (shrink)

The novel coronavirus (COVID-19) has imperatively shaken the behavior of the global financial markets. This study estimated the impact of COVID-19 on the behavior of the financial markets of Europe and the US. The results revealed that the returns of the S&P 500 index have been greatly affected by a lockdown in the US owing to COVID-19. However, the health crisis generated due to the novel coronavirus significantly decreased the stock returns of the Nasdaq Composite index. The results also showed (...) that the economic crisis generated from the pandemic in Spain has had more impact on the IBEX 35 as compared to the health crisis itself. On the other hand, in the long-run, Italy’s stock markets are more affected by the health crisis as contrasted with the economic crisis, while, in the short-run, both lockdown conditions and economic instability lower the stock returns of FTSE MIB. The UK stock markets witnessed that in the short-run, deficiency of health management systems imperatively damaged the stock returns of the London Stock Exchange. The investigation revealed that deficiency of health systems and lockdown conditions have imperatively damaged the structure of financial markets, inferring that sustainable development of these nations is at risk due to COVID-19. The study suggested that governments should allocate more of their budget to the health sector to overcome a health crisis in the future. (shrink)

Social media advertisement is a growing phenomenon designed to reach and engage customers. However, despite their continued adoption, less remains known regarding the effectiveness of social media ads to co-create brand value. In response to this gap, this study aims to deepen the theoretical understanding of consumer value co-creation through social media advertising value. The data were collected using purposive sampling from 286 experienced social-media users, and the model was tested using partial least square -based structural equation modeling. The results (...) indicate that entertainment, aesthetic appeal, interactivity, and trendiness significantly affect the adverting value of social media ads. In turn, ad value affects consumers’ intention for value co-creation. Consequently, our findings suggest the importance of social media advertising value where marketers may enhance consumer-brand engagement by incorporating interesting content, which may encourage the customer’s interaction with the social media ads and strengthen value co-creation behavior. The results further contribute to nascent marketing literature by demonstrating that value co-creation acts as an antecedent to generating positive electronic word-of-mouth on social media platforms to drive consumers’ online brand purchase intention. (shrink)

Nūr Muḥammad is one of the teachings in Sufism that studies the beginning of the creation of the universe. The Sufis discussed Nūr Muḥammad through God's tajallī (manifestation), and they believed that only Insan Kamil (Perfect Humans) possessed the perfection of His tajallī. This Sufi theory can be comprehended through the dhawqi approach. This research will deal with Nūr Muḥammad's theory of Sufism through the perspective of Tijaniyah Tarekat. The data for this study was obtained through library research utilizing a (...) documentary technique. The collected data will be analyzed using the descriptive analysis method. This study finds that the Tijaniyah Tarekat is a Sufism institution that bases its teachings and practices on the concept of Nūr Muḥammad in the form of ṣalawāt al-fātiḥ and ṣalawāt jawharah al-kamāl. This Tarekat's elucidation of Nūr Muḥammad is also built on and consistent with the explication of authoritative Sufis in Islam's intellectual and spiritual tradition. (shrink)

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)

The importance of the hidden curriculum is recognised as a practical training ground for the absorption of medical ethics by healthcare professionals. Pakistan’s healthcare sector is hampered by the exclusion of ethics from medical and nursing education curricula and the absence of monitoring of ethical violations in the clinical setting. Nurses have significant knowledge of the hidden curriculum taught during clinical practice, due to long working hours in the clinic and front-line interaction with patients and other practitioners.

Our objective is to examine the effects of Big Five personality traits on ethical ideologies using a time-lagged design of 406 employees of higher education institutions in Pakistan. Based on low/high idealism versus relativism, we investigate the conceptual linkage between each of the personality traits and moral philosophy. The results illustrate that extraversion and openness to experience believed on subjectivism moral philosophy, agreeableness believed on situationism, and neuroticism believed on absolutism moral philosophies. In addition, contentiousness believed on exceptionism moral philosophy. (...) Furthermore, managerial implications and future research directions are suggested. (shrink)

Substituted judgment assumes adequate knowledge of patient’s mind-set. However, surrogates’ prediction of individual healthcare decisions is often inadequate and may be based on shared background rather than patient-specific knowledge. It is not known whether surrogate’s prediction of patient’s integrative life-story narrative is better. Respondents in 90 family pairs rank-ordered 47 end-of-life statements as life-story narrative measure and completed instruments on decision-control preference and healthcare-outcomes acceptability as control measures, from respondent’s view and predicted pair’s view. They also scored their confidence in (...) surrogate’s decision-making and familiarity with pair’s healthcare-preferences. Life-story narratives’ prediction was examined by calculating correlation of statements’ ranking scores between respondent-personal and respondent-surrogate Q-sorts and between respondent-surrogate and pair-personal Q-sorts before and after controlling for correlation with respondent-personal scores, and by comparing percentages of respondent-surrogate Q-sorts co-loading with pair-personal vs. respondent-personal Q-sorts. Accuracy in predicting decision-control preference and healthcare-outcomes acceptability was determined by percent concordance. Results were compared among subgroups defined by intra-pair relationship, surrogate’s decision-making confidence, and healthcare-preferences familiarity. Mean age was 35.4 years, 69% were females, and 73 and 80% reported ≥ very good health and life-quality, respectively. Mean surrogate’s decision-making confidence score was 3.35 and 75% were ≥ familiar with pair’s healthcare-preferences. Mean projection, simulation, and adjusted-simulation correlations were 0.68, 0.42, and 0.26, respectively. Out of 180 respondent-surrogate Q-sorts, 24, 9, and 32% co-loaded with respondent-personal, pair-personal, or both Q-sorts, respectively. Accuracy in predicting decision-control preference and healthcare-outcomes acceptability was 47 and 52%, respectively. Surrogate’s decision-making confidence score correlated with adjusted-simulation’s correlation score. There were significant differences among the husband-wife, parent-child, and sibling-sibling subgroups in percentage of respondent-surrogate Q-sorts co-loading with pair-personal Q-sorts and percent agreement on healthcare-outcomes acceptability. Despite high self-reported surrogate’s decision-making confidence and healthcare-preferences familiarity, family surrogates are variably inadequate in simulating life-story narratives. Simulation accuracy may not follow the next-of-kin concept and is 38% based on shared background. (shrink)

We examined a largely ignored but imperative dimension of safety literature by testing the impact of ethical leadership style on organizational safety performance. We also tested dual mediating paths of safety culture and safety consciousness in the relationship between ethical leadership style and organizational safety consciousness. Data were collected from a large public sector telecom company in Pakistan. Confirmatory factor analysis was used to assess the reliability and validity of the study scales and model fit. Preacher and Hayes’s macro of (...) mediation was employed to test the direct and indirect paths proposed in the study. The findings suggest that ethical leadership has a positive impact on organizational safety performance. Partial mediating roles of safety culture and safety consciousness were also found between the dependent and independent variables. Theoretical and practical implications are discussed. (shrink)

Cardiac disease is the leading cause of death worldwide. Cardiovascular diseases can be prevented if an effective diagnostic is made at the initial stages. The ECG test is referred to as the diagnostic assistant tool for screening of cardiac disorder. The research purposes of a cardiac disorder detection system from 12-lead-based ECG Images. The healthcare institutes used various ECG equipment that present results in nonuniform formats of ECG images. The research study proposes a generalized methodology to process all formats of (...) ECG. Single Shoot Detection MobileNet v2-based Deep Neural Network architecture was used to detect cardiovascular disease detection. The study focused on detecting the four major cardiac abnormalities with 98% accuracy results were calculated. The work is relatively rare based on their dataset; a collection of 11,148 standard 12-lead-based ECG images used in this study were manually collected from health care institutes and annotated by the domain experts. The study achieved high accuracy results to differentiate and detect four major cardiac abnormalities. Several cardiologists manually verified the proposed system’s accuracy result and recommended that the proposed system can be used to screen for a cardiac disorder. (shrink)

نسبی‌انگاری اخلاقی یکی از مکاتب کهن فرااخلاقی است که به وجود ویژگی‌های اخلاقی، و صدق و توجیه احکام اخلاقی می‌پردازد. با این حال، بخشی از بحث‌های مربوط به نسبی‌انگاری متوجّه معناشناسی جملات نسبی است. نظریات نسبی‌انگارانۀ سنّتی زمینه‌گرا هستند، به این معنا که احکام اخلاقی را دارای عنصری می‌دانند که به نحوی ارجاع به گوینده دارد. این دیدگاه نسبی‌انگاری را با چالش‌هایی مواجه می‌کند، از جمله این‌که اختلاف نظر که یکی از اسباب عمدۀ گرایش به نسبی‌انگاری است، به سوء تفاهم (...) فروکاسته می‌شود. برخی نسبی‌انگاران اخیراً تلاش کرده‌اند تا نظریاتی ارائه دهند که با ثابت دانستن محتوای احکام، دچار مشکلات زمینه‌گرایی سنتی نباشد. یکی از این تلاش‌ها، نظریۀ نسبی‌انگاریِ دربارۀ خود (de se relativism) اندی ایگن است. ایگن با ترکیب نظریۀ دیوید لویس درباب محتوای باور، نظریۀ رابرت استالنیکر درباب اظهار، و نظریۀ استعدادی دیوید لویس درباب ارزش، بر آن است که نظریه‌ای نسبی‌انگارانه دربارۀ ارزش ارائه کند که با طبیعی‌انگاری، درونی‌انگاری احکام اخلاقی، و شناختی‌انگاری سازگار باشد، و از اشکالات دیگری که خودِ او بر زمینه‌گرایی وارد می‌کند مبرّا باشد. در این مقاله نظریۀ ایگن بررسی می‌شود و نشان داده می‌شود که نظریۀ او نه‌تنها از اشکالات وارد بر زمینه‌گرایی رها نیست، بلکه به دلیل پذیرش نظریۀ لویس در باب محتوای باور بار بیشتری بر دوش دارد که آن را نسبت به دیگر نظریات نسبی‌انگارانه مرجوح می‌سازد. -/- . (shrink)

This study sheds light on strategies for retaining skilled pharmacists in Pakistan's pharmaceutical sector, offering valuable insights for both academia and industry stakeholders by investigating the impact of human resource management practices, including training and development, compensation and rewards, job performance, and job satisfaction, on employee retention. It also examines the moderating role of career growth in this context. Theoretical foundations are grounded in international migration theories and social exchange theory, providing a comprehensive framework for the study. A cross-sectional survey (...) design was used to collect data from 254 pharmacists in southern Punjab, Pakistan. Structural equation modeling (SEM) was employed for data analysis. Findings reveal that training and development, compensation and rewards, job performance, and job satisfaction all have significant direct effects on employee retention. Additionally, career growth acts as a crucial moderator, strengthening the relationship between training and development and job performance, as well as compensation and rewards and job satisfaction in relation to employee retention. Theoretical implications emphasize the importance of tailored training programs, fair compensation practices, and career growth opportunities. Practical recommendations include creating a positive work environment, rewarding high-performing employees, and fostering career development. Future research directions encompass longitudinal studies, the influence of organizational culture and technology, regional variations, and additional factors affecting retention. (shrink)

Features new to the second edition include a foreword by Tynnetta Muhammad, wife and student of Elijah Muhammad; opening comments by world renowned mathematician Dr. Abdulalim Sahabazz; a new chapter co-authored with Dr. Dorothy Blake Fardan; plus guided questions and power point notes to stimulate discourse around Elijah Muhammad's educational ideas.

This study examines the R&D investment behaviour of different types of family-controlled firms with the moderating role of ownership discrepancy between cash-flow rights and excess voting rights by using the sufficiency conditions’ theoretical framework of ability and willingness developed by De Massis. It uses data from family firms that have issued A-shares from 2008 to 2018. They used pooled OLS regression for data analysis and Tobit regression for robustness checks. This study classifies family firm types into two categories, namely, the (...) lone-controller family firms (LCFFs) and the multi-controller family firms (MCFFs), with each being further classified as “excess” or “no excess” voting rights. Both LCFFs without excess voting rights and MCFFs with excess voting rights have the “ability” and “willingness” toward R&D investment. LCFFs with excess voting rights and MCFFs without excess voting rights only have the ability but low willingness to invest in R&D. The study also establishes that Chinese family-controlled firms are heterogeneous toward risky investment. To the best of our knowledge, this study is the first to differentiate Chinese family firms by their unique ownership structure characteristics in investigating the effect of the family firm structure on R&D investment. The study is a novel attempt to test the willingness and ability framework of LCFFs and MCFFs. Previous studies based on agency theory have tacitly assumed that ability and willingness exist in family-controlled firms. However, this study challenges this implicit assumption. (shrink)

In step with rapid advancements in computer vision, vehicle classification demonstrates a considerable potential to reshape intelligent transportation systems. In the last couple of decades, image processing and pattern recognition-based vehicle classification systems have been used to improve the effectiveness of automated highway toll collection and traffic monitoring systems. However, these methods are trained on limited handcrafted features extracted from small datasets, which do not cater the real-time road traffic conditions. Deep learning-based classification systems have been proposed to incorporate the (...) above-mentioned issues in traditional methods. However, convolutional neural networks require piles of data including noise, weather, and illumination factors to ensure robustness in real-time applications. Moreover, there is no generalized dataset available to validate the efficacy of vehicle classification systems. To overcome these issues, we propose a convolutional neural network-based vehicle classification system to improve robustness of vehicle classification in real-time applications. We present a vehicle dataset comprising of 10,000 images categorized into six-common vehicle classes considering adverse illuminous conditions to achieve robustness in real-time vehicle classification systems. Initially, pretrained AlexNet, GoogleNet, Inception-v3, VGG, and ResNet are fine-tuned on self-constructed vehicle dataset to evaluate their performance in terms of accuracy and convergence. Based on better performance, ResNet architecture is further improved by adding a new classification block in the network. To ensure generalization, we fine-tuned the network on the public VeRi dataset containing 50,000 images, which have been categorized into six vehicle classes. Finally, a comparison study has been carried out between the proposed and existing vehicle classification methods to evaluate the effectiveness of the proposed vehicle classification system. Consequently, our proposed system achieved 99.68%, 99.65%, and 99.56% accuracy, precision, and F1-score on our self-constructed dataset. (shrink)

One of the goals of happiness research is to identify the key factors that influence it. Therefore, the present research is designed to examine the determining factors of subjective wellbeing in Pakistan. The present research is conducted by collecting the data of 1,566 households in Punjab, Pakistan, using the ordered logit and tobit model. The findings of this research confirm that income, education, government effectiveness, no perceived corruption, and perceived institutional quality improve wellbeing, while lower trust in family and friends, (...) poor health status, living on rent, and dissatisfaction with the services of hospitals lower the level of wellbeing. But individuals with more social ties, who face barriers in health services, live more happily satisfied with their lives. Crime victimization and worrisome terrorism also lower the level of SWB. Findings of research strongly emphasize policymakers and government institutions to improve their quality and take essential measures for improving the governance structure. (shrink)

The Islamic Republic of Pakistan has been a mere victim of climate change in recent years. The country needs emergency measures at every level to mitigate environmental dilapidation. The role of enterprises in the country’s environmental efforts is critical. In this regard, the hotel sector is known for its outsized carbon footprint. Knowing this, the current study aims to improve a hotel enterprise’s environmental performance as an outcome of corporate social responsibility. The study also considers the mediating role of pro-environmental (...) behavior of employees and the moderating role of altruistic values. A hypothesized model was developed, which was validated by employing the structural equation modeling technique. The empirical results confirmed that CSR, directly and indirectly, positively induces the ENP of a hotel enterprise. Whereas the conditional indirect role of ALT was also found significant. The study offers different implications for theory and practice, among which one important takeaway for the hotel sector is to realize the importance of employees to spur ENP of a hotel enterprise through their eco-friendly behavior. At the same time, the current work also advances the theory by highlighting the moderating role of ALT between the indirect relationship of CSR and ENP. (shrink)

Journals have been described as “duty bearers” of upholding fundamental ethical principles that are essential for maintaining the ethical integrity of newly generated and disseminated knowledge. To play our part, we evaluated diversity and inclusion in the leadership and management of global and international health journals. We developed Journal Diversity Index (JDI) to measure three parameters of diversity and representation (gender, geographic, socioeconomic status). Relevant information regarding editorial board members of systematically screened journals was sequentially extracted and job titles were (...) categorized into five editorial roles. Chi-squared test was utilized to study associations between gender and geographic distribution of editors along with the Medline indexing of the journal and its impact factor. Out of 43 journals included, 62.7% were published from two high-income countries. Women comprised 44% of the total editors. Among all the editorial board members, we did not find any information suggesting the representation of non-binary and transgender individuals. Furthermore, 68.2% of editors were based in high-income countries with 67.3% of the editors belonging to the Global North. This disparity in geographic region and socioeconomic level was observed across all five editorial roles. Among all women editors, more than 70% worked in non-Medline and non-impact factor journals. Only two journals scored “excellent” on JDI. Despite the continuous evolution of the definition of global health ethics, marginalized individuals, and their perspectives remain underrepresented in this field. Thus, we call for swift action regarding the decentralization and redistribution of global and international health journal editorial boards. (shrink)

Design problems in structural engineering are often modeled as differential equations. These problems are posed as initial or boundary value problems with several possible variations in structural designs. In this paper, we have derived a mathematical model that represents different structures of beam-columns by varying axial load with or without internal forces including bending rigidity. We have also developed a novel solver, the LeNN-NM algorithm, which consists of weighted Legendre polynomials, and a single path following optimizer, the Nelder–Mead algorithm. To (...) evaluate the performance of our solver, we have considered three design problems representing beam-columns. The values of performance indicators, MAD, TIC, NSE, and ENSE, are calculated for a hundred simulations. The outcome of our statistical analysis points to the superiority of the LeNN-NM algorithm. Graphical illustrations are presented to further elaborate on our claims. (shrink)

The purpose of this research is to highlight the relationship between green product attributes and consumer trust that influence consumers’ decision to purchase green products in the context of Pakistan. This study contributes to determining quantitatively how green product attributes such as physical, perceptual, and reflexive attributes influence consumers’ trust to purchase a green product and investigates the mediating role of green marketing. Data was collected from different industrial sectors through a survey questionnaire. We employed Structural Equation Modeling using the (...) SMART-PLS software to check the reliability and validity of the constructs, and to test the hypotheses. This study reveals variations in terms of shaping the sustainable consumers’ buying behavior by modifying product attributes and green marketing strategies that are in congruence with the proposed hypotheses of this study. In the end, the findings and interpretations of the results are given which can guide the managers to develop effective green marketing campaigns in reshaping the purchase intentions of consumers toward their green products. (shrink)

Ensuring diversity within the healthcare sector is essential for improving team dynamics and ultimately patient outcomes. Diversity among medical students is fundamental to embody this philosophy. With the demand for diversity in the admissions process gaining traction, the authors expanded this conversation to the editorial boards (EBs) of Medical Student Journals (MSJs). The authors designed a cross-sectional study to evaluate the diversity status of EBs of MSJs under gender, geographic, and socioeconomic parameters using the Journal Diversity Index (JDI). Relevant information (...) regarding the journal characteristics and the editorial board members (EBMs) of systematically screened journals was sequentially extracted along with job roles, which were later categorized into eight categories. Chi-squared test was applied to study the association between gender of the editor and the global distribution of the journal. Out of 22 included journals, 90.9% were published by institutions based in high-income countries (HICs). On regional analysis, none of the journals originated from “South Asia,” “Latin America and the Caribbean,” and “Middle East and North Africa”. Disparity in gender representation of EBMs became more prominent in senior roles. Additionally, 78.8% EBMs belonged to HICs. Regional analysis of EBMs revealed 83% belonging to the Global North. This disparity was seen across all editorial job roles. A greater disparity was seen among editors from the Global South with men comprising 66.4% of the total editors (p<0.001). On JDI, 95.5% journals demonstrated poor diversity. Moreover, 72.7% and 77.3% journals had all members of the EB belonging to the same region and the same country income level respectively. As EBs of MSJs offer opportunities for further advancement, networking, and promotion, a commitment to prioritizing diversity, equity, and inclusion accompanied by development and implementation of actionable plans and allocation of sufficient resources should be given precedence. (shrink)

Firms have traditionally responded to environmental violations by increasing information disclosure and/or communication to manage stakeholder perceptions. As such, these approaches may be symbolic in nature, with no genuine intention to improve the environment. We draw from restorative justice grounded in stakeholder theory and explore a relatively new approach in the form of supplemental environmental projects aimed at restoring the environment, and empirically examine the role of corporate governance in firms’ decisions to undertake reparative actions. Using environmental violations and SEPs (...) data from the US Environmental Protection Agency between 2002 and 2015, we find that firms with smaller boards are more likely to undertake SEPs. We also find that firms with higher board independence and CEO duality undertake SEPs more frequently; however, board gender diversity and the existence of a sustainability committee appear to have no impacts. These results are robust to propensity score matching and an alternative data source. We extend the scope of stakeholder theory by emphasizing a new approach—restorative justice—by which corporations can repair damaged relationships and also improve the environment. We also contribute to corporate governance and environmentalism literature by identifying governance structures that promote environmental restorative justice. Thus, our study will inform different stakeholders, including regulators, shareholders, and boards of directors, and will open new avenues for business ethics scholarship. (shrink)

Data analytics, machine intelligence, and other cognitive algorithms have been employed in predicting various types of diseases in health care. The revolution of artificial neural networks in the medical discipline emerged for data-driven applications, particularly in the healthcare domain. It ranges from diagnosis of various diseases, medical image processing, decision support system, and disease prediction. The intention of conducting the research is to ascertain the impact of parameters on diabetes data to predict whether a particular patient has a disease or (...) not. This paper develops an improved ANN model trained using an artificial backpropagation scaled conjugate gradient neural network algorithm to predict diabetes effectively. For validating the performance of the proposed model, we conduct a large set of experiments on a Pima Indian Diabetes dataset using accuracy and mean squared error as evaluation metrics. We use different number of neurons in the hidden layer, ranging from 5 to 50, to train the ANN models. The experimental results show that the ABP-SCGNN model, containing 20 neurons, attains 93% accuracy on the validation set, which is higher than using the other ANNs models. This result confirms the model’s effectiveness and efficiency in predicting diabetes disease from the required data attributes. (shrink)

Business Ethics, the Environment & Responsibility, EarlyView.

Includes an introd. of 49 p. by S. G. Abbas.

Social media marketing has become one of the most significant growth paths for many businesses in today’s world. However, many companies are still unclear about using social media marketing to get their advantages, particularly in an e-commerce environment. In this background, this study is proposed to examine the effects of social media marketing activities on relationship quality, such as commitment, trust, and satisfaction in order to predict consumers’ online repurchase intentions in China’s e-commerce environment. This study proposed a theoretical model (...) by using the stimulus-organism-response theory. Using a structured questionnaire and purposive sampling, this study examined the responses of 403 consumers through partial least square-structural equation modeling. The findings discovered that SMMAs significantly strengthen the relationship quality factors, such as commitment, trust, and satisfaction, which in turn positively increase consumer online repurchase intentions in China’s e-commerce industry. This is novel research that contributes to the S-O-R theory and provides several managerial guidelines that assist managers in improving their business performance in the e-commerce industry. This research also highlighted some limitations. (shrink)

Advertising is a tool by which the audience who may be the viewers, readers or listeners are communicated and convinced to buy or taking any action regarding the products, or getting information about the services provided. The TV advertisements influence the consumers’ buying behaviour. The need of TV advertisement has increased with the fast growth of mobile phones industry in Pakistan. This paper investigates the relationship between independent variable of advertisement with dependent variables of consumer choice, consumer awareness, consumer perception, (...) and consumer motivation by getting the responses of 250 respondents using questionnaires based on 5-point Likert scale from the graduating students of various faculties at University of Karachi. The main results of the study show a strong association between the independent and dependent variables. It is a fact that the brands which are advertised on TV are purchased more because people become emotionally attached with such brands or products. This study is very useful for producers, distributors, wholesalers and retailers as well engaged in mobile business in Pakistan. (shrink)

Muslim communities in the village facing the COVID-19 Pandemic attempts to find refuge from the plague and hope for survival. However, this led to more caution, which may lead to xenophobia. Via ethnography, this study unmasks the xenophobic attitude. This research discusses the root causes of panic in the community so that remedies can be implemented. The research attempts to explain, from a socio-anthropological viewpoint, how people and religious groups in the village perceive the pandemic of COVID-19 based on their (...) belief in their faith and in the science. The research takes place in Cigagak village, an area of approximately 7000 m2 on the outskirts of Bandung of West Java of Indonesia. This study examines the selected respondents from about 190 inhabitants who had close ties to managing places of worship and public places. This study utilises a collaborative self-ethnographic method and qualitative analysis. The influence of COVID-19 has moved to new exclusive and disintegrating practices from the inclusion-cohesive religious tradition. Therefore, this study tries to find out ways on how to reduce exclusive perception and religious practices to a minimum level and how to disappear xenophobia. Amid the COVID-19 Pandemic, inclusive awareness and actions were re-established, and even social cohesiveness was fostered. This study concludes that in its deep conviction nature, theology can change exclusive behaviour to be inclusive if it is based on the religious principles that are raised in response to human events. In this case, the Muslim community in a village can change the fear of COVID-19 pandemic to be a reducer of the panic based on the support of the religious doctrines.Contribution: This article used a collaborative self-ethnography with a religious socio-anthropological viewpoint. This study could help to solve social problems through theological convergence in Islamic milieu, especially that of the government’s formal Islamic organisation and organic Islamic leaders of the society. (shrink)

Although informed consent is an integral part of clinical practice, its current doctrine remains mostly a matter of law and mainstream ethics rather than empirical research. There are scarce empirical data on patients’ perceived purpose of informed consent, which may include administrative routine/courtesy gesture, simple honest permission, informed permission, patient-clinician shared decision-making, and enabling patient’s self decision-making. Different purposes require different processes.

ABSTRACT BackgroundIt isn’t clear how lay people balance the various ethical interests when addressing medical issues. We explored lay people’s ethical resolution models in relation to abortion. MethodsIn a tertiary healthcare setting, 196 respondents rank-ordered 42 opinion-statements on abortion following a 9-category symmetrical distribution. Statements’ scores were analyzed by averaging-analysis and Q-methodology. ResultsRespondents’ mean (SD) age was 34.5(10.5) years, 53% were women, 68% Muslims (31% Christians), 28% Saudis (26% Filipinos), and 38% healthcare-related. The most-agreeable statements were “Acceptable if health-benefit to (...) woman large,” “Acceptable if congenital disease risk large,” and “Woman’s right if fetus has congenital disease.” The most-disagreeable statements were “State’s right even if woman disagrees,” “Acceptable even with no congenital disease risk,” and “Father’s right even if woman disagrees.” Q-methodology identified several resolution models that were multi-principled, consequentialism-dominated, and associated with respondents’ demographics. The majority of Christian women and men identified with and supported a relatively “fetus rights plus State authority-oriented” model. The majority of Muslim women and men identified with and supported a “conception-oriented” model and “consequentialism plus virtue-oriented” model, respectively. One or more of three motives-related statements received extreme ranks on averaging-analysis and in 33% of the models. Conclusions1) On average, consequentialism, focusing on a woman’s health-benefit and congenital disease risk, was the predominant approach. This was followed by the rights approach, favoring a woman’s interest but taking context into account. 2) Q-methodology identified various ethical resolution models that were multi-principled and partially associated with respondents’ demographics. 3) Motives were important to some respondents, providing empirical evidence against adequacy of principlism. (shrink)

As the COVID-19 outbreak remains an ongoing issue, there are concerns about its disruption, the level of its disruption, how long this pandemic is going to last, and how innovative technological solutions like Artificial Intelligence (AI) and expert systems can assist to deal with this pandemic. AI has the potential to provide extremely accurate insights for an organization to make better decisions based on collected data. Despite the numerous advantages that may be achieved by AI, the use of AI can (...) be perceived differently by society, where moral and ethical issues may be raised, especially in regards to accessing and exploiting public data gathered from social media platforms. To better comprehend the concerns and ethical challenges, utilitarianism and deontology were used as business ethics frameworks to explore the aforementioned challenges of AI in society. The framework assists in determining whether the AI’s deployment is ethically acceptable or not. The paper lays forth policy recommendations for public and private organizations to embrace AI-based decision-making processes to avoid data privacy violations and maintain public trust. (shrink)

The current study looked at the impact of board of director characteristics on corporate social responsibility (CSR) in the Pakistani setting. The study further added to the body of knowledge by comparing the impact of board characteristics in family versus non-family businesses in an emerging market. The study’s sample consists of 139 non-financial Pakistan Stock Exchange (PSX) listed firms from 2008 to 2019. The level of CSR among sample firms was assessed using a multidimensional financial approach. The random-effect model was (...) employed to test the study’s hypotheses. The findings support the dysfunctional view of the role of the board of directors’ in family-owned businesses. Overall, board size and CEO duality have a significant negative impact on CSR, whereas board independence has a significant positive impact. While these findings applied to both family-owned and non-family-owned businesses. It was discovered that among family-owned businesses, boards tend to look after the interests of family members, and thus are less likely to support CSR. The findings of this study will assist regulatory authorities, investors, and financial analysts in understanding CSR practices in Pakistani firms, allowing them to review the role of the board of directors in CSR among family and non-family-owned firms. (shrink)

Discussions about politics and human power, including discussions about the concept of the state, have been a discussion that has been going on since Greek times until the time of the growth of Islamic philosophy. The overemphasis on the power of reason led early modern Western societies to reject religion in all political discourse. At this stage, all views of man, power, the constitution, and the state eventually ceased to be associated with God. On the other hand, especially among Muslims, (...) religion is still connected with discussions of politics and human power. This paper will reveal how secularization in political thought grew and developed through principles such as the state of nature and the social contract. Then, based on the thought of one of the influential Muslim scholars, Syed Muhammad Naquib Al-Attas, the author tries to provide a critique of the views of Western thinkers such as Thomas Hobbes, John Locke, and other philosophers, by presenting the concept of the ideal state form derived from the concept of tamaddun formulated by Al-Attas. This research is literature review research using the descriptive method. The findings of this research show that secularization is a product purely born by Western secular thinkers and not taken from any religious teachings, so Western political concepts cannot always be applied, especially in Muslim societies. (shrink)

The current study examined how the level of perceived stress among women living in Dhaka varies by their degree of social capital and illustrated the relative significance of some of their sociodemographic statuses, such as employment status, marital status, education, and income level, with those variables of interest. In this cross-sectional study, data were collected from a total of 485 women, 243 formally employed (having a tax identification number), and 242 non-employed (50 students and 192 homemakers). Apart from the demographic (...) information, the questionnaire includes statements from Cohen’s perceived stress scale (PSS) and the Internet Social Capital Scale (ISCS). Results indicate that social capital substantially reduces perceived stress, with the effect being particularly apparent among non-employed and unmarried women. While unmarried women experience higher levels of stress compared to married ones, it appears that women’s perceived stress levels do not differ by employment status, education, or income. In addition, there is no significant variation in social capital by marital status or income level; however, it is observed that working women possess higher social capital compared to unmarried women. The study concludes that women’s employment can contribute to their social well-being by enhancing their social capital, but their perceived stress levels may not differ substantially because of their formal employment. (shrink)