We develop a theory of LOGSPACE structures and apply it to construct a number of examples of Abelian Groups which have LOGSPACE presentations. We show that all computable torsion Abelian groups have LOGSPACE presentations and we show that the groups ${\mathbb {Z}, Z(p^{\infty})}$ , and the additive group of the rationals have LOGSPACE presentations over a standard universe such as the tally representation and the binary representation of the natural numbers. We also study the effective categoricity of such groups. For (...) example, we give conditions are given under which two isomorphic LOGSPACE structures will have a linear space isomorphism. (shrink)

PurposeThis study aimed to apply “multi-criteria decision approach and attitude-change theory” to examine post-COVID-19 impact on entrepreneurial mindset by investigating the link between entrepreneurs social capital and entrepreneurial success. Specifically, this study analyzed entrepreneurs' dispositional factor as an underlying mechanism to bridge trust and entrepreneurial success. Furthermore, it also analyzed entrepreneurs' situational factor as boundary condition.Design/methodology/approachWe applied time-lagged data collection from 505 industrial entrepreneurs. Survey method was used for data collection. A 7-point Likert scale was used for the respondent response. (...) Hayes developed PROCESS models 4 and 7 were used to test the hypothesis.FindingsThe direct impact of trust on three elements of the ecosystem was found significantly positive on both startup behavior and entrepreneurial success. The direct impact of startup behavior on entrepreneurial success is also significantly positive. The impact of startup behavior on indirect mediation between trust and entrepreneurial success is visibly positive. The moderated and moderated mediation impact of entrepreneurial strategy found positively significant at low and medium values. However, this study found an insignificant moderated impact at high values of entrepreneurial strategy between trust on media and startup behavior. Furthermore, this study also found insignificant moderated mediation impact at high values of entrepreneurial strategy by interacting with two elements of ecosystem through startup behavior on entrepreneurial success.Originality/valueThe authors suggested that startup behavior is an underlying mechanism through which industrial entrepreneurs trust achieved desired entrepreneurial success. The authors also suggested that the influencing role of “low level of entrepreneurial strategy” in comparison with “high level entrepreneurial strategy” is more helpful to achieve entrepreneurial success.ImplicationsThis study contributed to the literature on entrepreneurial strategy for its conditional indirect moderated impact on startup behavior and moderated mediation impact on firm entrepreneurial success. It also contributed to owners of the manufacturing industry for their startup behavior as an underlying mechanism through which trust influences entrepreneurial success. (shrink)

Section 75 of the Criminal Justice Act (CJA) of 2003 overturned the principle in English law that a person cannot be retried for an offense of which he has been acquitted, recognizing advances in forensic science that uses modern analysis of DNA in adducing in evidence. The special plea of autrefois acquit can be overturned based on finding of compelling evidence after a previous acquittal of a suspect who can now be tried again for the same offense. The double jeopardy (...) arises only after a lawful acquittal or autrefois convict of the accused for the first offense and these principles have allowed exceptions to the rule against double jeopardy developed by the courts. There is an analogous rule in common law courts based on the unreasonable splitting of the case when there is a severing of indictments which overrides the bar on the accused being retried for the same offense. This paper examines the difficulty of trying a defendant fairly in the English courts when the defense has pleaded an abuse of process and there is no clear overall argument for trial. This question needs an appraisal of legal ethics in criminal courts because a retrial of the accused on the same charge breaches the autrefois acquit doctrine, and severing of an indictment can cause the fair trial process to be undermined. (shrink)

The rule against bias is a central tenet of English law and it also impacts on collegiate courts which typically exercise appellate/review jurisdictions over their professional or student members. This is true of the Bar Standards Board which has established the adjudicatory bodies to enforce its regulatory framework and has vested the procedure of fair trials upon the Council of the Inns of Court which is responsible for appointing the Disciplinary Tribunal panels that conduct hearings for professional misconduct. The COIC (...) has been exposed for ‘irregularities’ in the findings of guilt against barristers who have been adjudged by non-qualified judges. In R v Visitors to the Inns of Court and Ors [2014] EWCA Civ 1630, the Court of Appeal ruled that a disciplinary tribunal or a panel of visitors appointed from barristers or lay representatives outside its pool of enrolled judges would still ensure independence and guarantee freedom from outside pressure. The impugned tribunal members who were not entitled to sit nevertheless had authority to act as de facto judges. This part of the ruling reinforces the regulatory bodies inherent power to appoint its own tribunal to adjudicate and it needs a more rigorous application of natural justice principle on the part of the BSB. (shrink)

The Communist Manifesto’s salient point was set out in Critics of the Gotha Program as “From Each According to Their Abilities, to Each According to Their Needs”. The demise of communism in the former Soviet Union has caused its critics to claim that ‘revolutionary’ political theory has no basis for legal or philosophical development. The contention of those who oppose radical socialism achieved by the levelling of the classes proclaim that this is an unattainable goal. They argue that a ‘withering (...) of the state’ is not possible for the implementation of Marx’s theory because of the centralisation that is inevitable in socialism which leads to an aggregate of relationships that redistributes power at the apex of the hierarchy. However, this appraisal has to be viewed with reference to the adoption by Marxists of socio legal theory as an analytical tool that has spawned arguments based on legal realism. This article examines the construction of these arguments within the sociology of law and looks at the inception of critical race theory which projects historical injustices towards a racial minority and seeks to transform society by exposing law as an instrument of oppression. (shrink)

The Sustainable Development Goal of the United Nations related to reduced inequalities calls for greater economic inclusion of the poor. Yet, how business leaders grant economic opportunities and development to the poor is significantly under-researched. Extending burgeoning responsible leadership theory that promotes paradox-savvy leadership for building inclusive ventures through various actors, this study introduces new concepts of inclusive leadership that foster the economic inclusion of the poor from Amartya Sen’s capability approach perspective. By studying how leaders include the poor in (...) social businesses, we provide a fresh perspective of inclusive leadership as a personalized empowering cycle of economic–social–economic inclusion to close the gaps between the rich and poor in business and society. This perspective provides new territories of diversity and inclusion research for reduced inequality. (shrink)

This paper demonstrates the political perspective of corporate social responsibility disclosures and, drawing on Weber’s notion of traditionalism, seeks to explain what motivates companies to make such disclosures in a traditional setting. Annual reports of 23 banking companies in Bangladesh are analysed over the period 2009–2012. This is supplemented by a review of documentary evidence on the political and social activities of corporations and reports published in national and international newspapers. We found that, in the banking companies over the period (...) of study, apparently neutral, corporate, philanthropic activities disclosed and promoted in CSR reports are inextricably linked to powerful leaders’ personal projects and the ruling party’s agendas. We have demonstrated elements of traditional societies, including personal loyalty and the public display of loyalty, the master–servant relationship, and obedience to personal rather than formal authority, provide an understanding of why banks have employed politically charged CSR disclosure strategies. The paper contributes to disclosure studies where political motivations of corporate disclosure rarely discussed. The paper extends the debate on political CSR by demonstrating that the role of family and familial values at the organisational and national levels may be much more important when it comes to CSR disclosure and activities. (shrink)

Despite the fact that Islam is one of the major religions, the frameworks of this faith are yet to be fully understood. As a consequence, it is being confused with activities contrary to its teachings. Islam has an elaborate treatment for almost every aspect of life including the affairs of business. Business is an acceptable and dignified occupation, which has to be conducted within the given frameworks. Islam encourages the creation, acquisition and consumption of wealth, and the fulfilling of certain (...) conditions in so doing. Wealth is held in trust as a gift from God. The terms of reference of this trust are to be complied with. Ethical principles do play a major role in shaping the behavior of a Muslim, in or out of business. In an era of globalization, the need for a better understanding of the premises of Islamic faith cannot be overemphasized. (shrink)

This article argues that there has been a significant turn in the discourse of feminist politics in the Islamic Republic of Pakistan. The author suggests that the rise of a new feminism – rooted in Islamic discourse, non-confrontational, privatized and personalized, whose objective is to ‘empower’ women within Islam – is not a post-9/11 development but rather a result of unresolved debates on the issue of religion within the progressive women's movement. It has been due to the accommodation of religion-based (...) feminist arguments by the stronger secular feminist movement of the 1980s that paved the way for its own marginalization by giving feminist legitimacy to such voices. The author argues that the second wave of feminism may have become diluted in its effectiveness and support due to discriminatory religious laws, dictatorship, NGO-ization, fragmentation, co-option by the state and political parties in the same way as the global women's movement has. Yet it has been the internal inconsistency of the political strategies as well as the personal, Muslim identities of secular feminists that have allowed Islamic feminists to redefine the feminist agenda in Pakistan. This article voices the larger concern over the rise of a new generation of Islamic revivalist feminists who seek to rationalize all women's rights within the religious framework and render secular feminism irrelevant while framing the debate on women's rights exclusively around Islamic history, culture and tradition. The danger is that a debate such as this will be premised on a polarized ‘good’ vs ‘bad’ Muslim woman, such that women who abide by the liberal interpretation of theology will be pitted against those who follow a strict and literal interpretist mode and associate themselves with male religio-political discourse. This is only likely to produce a new, radicalized, religio-political feminism dominating Pakistan's political future. (shrink)

Over the past several years, the study of self-related cognition has garnered increasing interest amongst psychologists and cognitive neuroscientists. Concomitantly, lesion and neuroimaging studies have demonstrated the importance of intact cortico-cortical and cortico-subcortical connections for supporting high-level cognitive functions. Commissurotomy or “split-brain” patients provide unique insights into the role of the cerebral commissures in maintaining an individual’s sense of self, as well as into the unique self-representation capabilities of each cerebral hemisphere. Here we review empirical work examining the integrity of (...) self-related processes in patients with various disconnection syndromes, focusing on studies of self-recognition, ownership, and agency. Taken together, this body of work suggests that an intact corpus callosum enabling interhemispheric transfer is necessary for some, but not all types of self-representations. (shrink)

This study adapts the theory of reasoned action (Ajzen and Fishbein, 1980) to the behavior of fraudulent reporting on financial statements so as to examine the effects of moral reasoning and self-monitoring on intention to report fraudulently, using structural equation modeling. The paper seeks to investigate two of the red flags for financial statement fraud identified in Loebbecke et al.'s (1989) paper: client management displays a significant lack of moral fiber and client personnel exhibit strong personality anomalies. As expected, high (...) moral reasoners are more influenced than low moral reasoners by their own attitude towards the behavior. Contrary to prior research, low self-monitors are found to be more influenced than high self-monitors by subjective norms. Future research is recommended to investigate the counter-intuitive results for self-monitors, to consider the implications of group decision making as regards the promulgation of fraudulent financial statements, and to examine additional red flags for financial statement fraud. (shrink)

Despite the fact that Islam is one of the major religions, the frameworks of this faith are yet to be fully understood. As a consequence, it is being confused with activities contrary to its teachings. Islam has an elaborate treatment for almost every aspect of life including the affairs of business. Business is an acceptable and dignified occupation, which has to be conducted within the given frameworks. Islam encourages the creation, acquisition and consumption of wealth, and the fulfilling of certain (...) conditions in so doing. Wealth is held in trust as a gift from God. The terms of reference of this trust are to be complied with. Ethical principles do play a major role in shaping the behavior of a Muslim, in or out of business. In an era of globalization, the need for a better understanding of the premises of Islamic faith cannot be overemphasized. (shrink)

Background The post-trial period is the time period after the end of study drug administration. It is unclear whether post-trial arrangements for patient surveillance are routinely included in study protocols and consents, and whether research ethics boards (REB) consider the post-trial period. Objectives The objective was to determine whether trial protocols and consent forms reviewed by the REB describe procedures for post-trial period surveillance. Methods An observational study of protocols of randomised trials of chronic therapies for cardiac conditions, approved by (...) the REB of two academic institutions affiliated with the University of Toronto in Canada (University Health Network and Mount Sinai Hospital) from 1995 to 2007. Plans for patient surveillance in the post-trial period described in the protocol or in the consent form before and after REB approval were recorded. Results 42 studies were identified including 18 heart failure and 15 coronary artery disease trials. Only four studies planned a clinical visit after trial termination, and an additional three planned a telephone contact after trial completion. Five trials submitted consent forms to the REB with a discussion of the post-trial period. Conclusions The majority of protocols and consent forms did not discuss plans for post-trial period surveillance. The post-trial period and the REB approval process could be improved by systematic follow-up being described in the protocol and consent form. The small number of trial protocols evaluated in the study may impair the degree to which the results can be generalised. (shrink)

Multi-level institutional designs with distributed power and authority arrangements among federal, state, regional, and local government agencies could lead to the emergence of differential patterns of socioeconomic and infrastructure development pathways in complex social–ecological systems. Both exogenous drivers and endogenous processes in social–ecological systems can lead to changes in the number of “basins of attraction,” changes in the positions of the basins within the state space, and changes in the positions of the thresholds between basins. In an effort to advance (...) the theory and practice of the governance of policy systems, this study addresses a narrower empirical question: how do intergovernmental institutional rules set by federal, state, and regional government agencies generate and sustain basins of attraction in funding infrastructure projects? A pattern-oriented, agent-based model (ABM) of an intergovernmental network has been developed to simulate real-world transportation policy implementation processes across the federal, the state of Vermont, regional, and local governments for prioritizing transportation projects. The ABM simulates baseline and alternative intergovernmental institutional rule structures and assesses their impacts on financial investment flows. The ABM was calibrated with data from multiple focus groups, individual interviews, and analysis of federal, state, and regional scale transportation projects and programs. The results from experimental simulations are presented to test system-wide effects of alternative multi-level institutional designs, in particular different power and authority arrangements between state and regional governments, on the emergence of roadway project prioritization patterns and funding allocations across regions and towns. (shrink)

This study aims to identify artificial intelligence (AI) technologies that are applied in climate-smart agricultural practices and address ethical concerns of deploying those technologies from legal perspectives. As climate-smart agricultural AI, the study considers those AI-based technologies that are used for precision agriculture, monitoring peat lands, deforestation tracking, and improved forest management. The study utilized a systematic literature review approach to identify and analyze AI technologies employed in climate-smart agriculture and associated ethical and legal concerns. The study findings indicate several (...) ethical concerns for deploying AI in climate-smart agricultural practices pertaining to data inaccuracy, other technical errors based on wrong recommendations or wrongful acts, data ownership and intellectual property issues, and economic issues resulting in digital division and privacy and security related issues. In this study, the ethical concerns were further examined based on criminal law, tort law, privacy and data protection law, and intellectual property law. In this regard, the study finds that the current tort law pattern is more suitable than the criminal law pattern to address some major ethical concerns, such as data inaccuracy and other technical errors based on wrong recommendations or wrongful acts. Finally, the study recommends that at the global level, all countries need to fill up the current gap of international law on climate-smart agriculture through agreeing on a standard set of legal provisions and enhancing collaboration in innovation and deployment of climate-smart agricultural AI. It further recommends that at the local level, countries need to adopt suitable regulations addressing multi-stakeholders’ interests associated with the deployment of climate-smart agricultural AIs. (shrink)

Crop cultivation is one of the oldest activities of civilization. For a long time, crop production was carried out based on knowledge passed from generation to generation. However, due to the rapid growth in the human population of the world, human knowledge-based cultivation is not enough to meet the demanding need. To address this issue, the usage of machine learning-based tools has been studied in this paper. An experiment has been carried out over 0.3 million data. This dataset identifies 46 (...) prominent parameters for cultivation, which is collected from the Department of Agriculture Extension, Bangladesh. Comparison between neural networks and numbers of machine learning algorithms has been carried out in this research. It is observed that the neural network outperforms the other methods by maintaining an average prediction accuracy of 96.06% for six different crops. Other contemporary machine learning algorithms, namely, support vector machine, random forest, and logistic regression, have average prediction accuracy of around 68.9%, 91.2%, and 62.39%, respectively. (shrink)

To assess the ability of the disconnected cerebral hemispheres to recognize images of the self, a split-brain patient was tested using morphed self-face images presented to one visual hemifield at a time while making “self/other” judgments. The performance of the right and left hemispheres of this patient as assessed by a signal detection method was not significantly different, though a measure of bias did reveal hemispheric differences. The right and left hemispheres of this patient independently and equally possessed the ability (...) to self-recognize, but only the right hemisphere could successfully recognize familiar others. This supports a modular concept of self-recognition and other-recognition, separately present in each cerebral hemisphere. (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)

The number of scientific publications is growing exponentially. Research articles cite other work for various reasons and, therefore, have been studied extensively to associate documents. It is argued that not all references carry the same level of importance. It is essential to understand the reason for citation, called citation intent or function. Text information can contribute well if new natural language processing techniques are applied to capture the context of text data. In this paper, we have used contextualized word embedding (...) to find the numerical representation of text features. We further investigated the performance of various machine-learning techniques on the numerical representation of text. The performance of each of the classifiers was evaluated on two state-of-the-art datasets containing the text features. In the case of the unbalanced dataset, we observed that the linear Support Vector Machine achieved 86% accuracy for the “background” class, where the training was extensive. For the rest of the classes, including “motivation,” “extension,” and “future,” the machine was trained on less than 100 records; therefore, the accuracy was only 57 to 64%. In the case of a balanced dataset, each of the classes has the same accuracy as trained on the same size of training data. Overall, SVM performed best on both of the datasets, followed by the stochastic gradient descent classifier; therefore, SVM can produce good results as text classification on top of contextual word embedding. (shrink)

The means by which social environmental exposures influence risk of mental disorders is a persistent and still open question. A key candidate mechanism for the biologic mediation of environmental effects involves epigenetic factors, which regulate gene function without altering underlying DNA sequence. Recent work has shown that environmental exposures such as childhood abuse, family history of mental disorder, and low socioeconomic status (SES) associate with differential DNA methylation (5mC) – a relatively stable, but modifiable, epigenetic factor. However, the longitudinal relation (...) among SES, 5mC, brain function, and risk of depression remains to be elucidated. Here, we briefly review literature relevant to these associations and discuss recent findings that, for the first time, prospectively demonstrate sequential links between low SES, changes in 5mC, changes in brain function, and risk of depression in a cohort of adolescents. (shrink)

In the area of machine learning, different techniques are used to train machines and perform different tasks like computer vision, data analysis, natural language processing, and speech recognition. Computer vision is one of the main branches where machine learning and deep learning techniques are being applied. Optical character recognition is the ability of a machine to recognize the character of a language. Pashto is one of the most ancient and historical languages of the world, spoken in Afghanistan and Pakistan. OCR (...) application has been developed for various cursive languages like Urdu, Chinese, and Japanese, but very little work is done for the recognition of the Pashto language. When it comes to handwritten character recognition, it becomes more difficult for OCR to recognize the characters as every handwritten character’s shape is influenced by the writer’s hand motion dynamics. The reason for the lack of research in Pashto handwritten character data as compared to other languages is because there is no benchmark dataset available for experimental purposes. This study focuses on the creation of such a dataset, and then for the evaluation purpose, a machine is trained to correctly recognize unseen Pashto handwritten characters. To achieve this objective, a dataset of 43000 images was created. Three Feed Forward Neural Network models with backpropagation algorithm using different Rectified Linear Unit layer configurations were trained and tested with this dataset. The simulation shows that Model 1 achieved accuracy up to 87.6% on unseen data while Model 2 achieved an accuracy of 81.60% and 3% accuracy, respectively. Similarly, loss was the lowest for Model 1 with 0.15 and 3.17 for training and testing, followed by Model 2 with 0.7 and 4.2 for training and testing, while Model 3 was the last with loss values of 6.4 and 3.69. The precision, recall, and f-measure values of Model 1 were better than those of both Model 2 and Model 3. Based on results, Model 1 is found to be the most efficient as compared to the other two models in terms of accuracy to recognize Pashto handwritten characters. (shrink)

The disability viewpoint is the fundamental for understanding social justice in a given population. Disability rights need to be obeyed in the inclusive preparedness and response to all the disasters or during the crisis period including COVID-19 pandemic. COVID-19 pandemic jeopardized the health and rehabilitation services globally. The impact is much more in low resource developing countries like Bangladesh. In general, people with disability (PWD) suffer from multiple medical and rehabilitation complications and they need frequent rehabilitation consultations or hospital admissions (...) in comparison to people without disability. As a developing country, Bangladesh has poor ratios of doctors, nurses and technologists of 1:0.4:0.24 (WHO: 1:3:5) to face the COVID-19 challenge. Rehabilitation services have been disrupted in almost two-thirds (63%) of countries of the world. Even though rehabilitation is the key to recovery following severe illness from COVID-19. There are many concerns and debates about the preparedness, response and mitigation the process of COVID-19 on the part of the national government. According to recent study reports, the lives of about 100% of PWD have been impacted by the COVID-19 pandemic. COVID-19 National Technical Advisory Committee is working for strategic planning, response and mitigation process but omission of a representative of PWD or a rehabilitation physician in the committee has created much dissatisfaction. The difficult COVID-19 testing process due to country wide shutdown of rehabilitation essential services and central pulling of rehabilitation physicians have side lined the PWD inclusiveness. It is expected that the rehabilitation preparedness, response and mitigation of the pandemic should be based on an ethics driven process. (shrink)

This paper is about human rights and policing in Bangladesh, with special focus on the role of National Human Rights Commission. The protection and promotion of human rights in Bangladesh has become difficult as the law enforcement agencies, particularly the police and the Rapid Action Battalion, are involved in human rights violations. An overall culture of impunity for human rights violations exists in Bangladesh. The National Human Rights Commission appears to have failed to break the culture of impunity in Bangladeshi (...) politics. This paper explains the reasons why the National Human Rights Commission in Bangladesh largely fails to make the political system in particular law enforcement agencies accountable. (shrink)

This paper is about human rights and policing in Bangladesh, with special focus on the role of National Human Rights Commission. The protection and promotion of human rights in Bangladesh has become difficult as the law enforcement agencies, particularly the police and the Rapid Action Battalion, are involved in human rights violations. An overall culture of impunity for human rights violations exists in Bangladesh. The National Human Rights Commission appears to have failed to break the culture of impunity in Bangladeshi (...) politics. This paper explains the reasons why the National Human Rights Commission in Bangladesh largely fails to make the political system in particular law enforcement agencies accountable. (shrink)

Three inevitable realities instigate this study. Primarily, the goal of security in the region will most likely be accomplished just if as a minimum some level of cooperation is achieved between the major countries of the region. Second, Afghanistan cannot advance economically or enhance its security and administration independently without some cooperation from India and Pakistan. Third, although many strategists view the idea of Pak-India cooperation with distrust, there are many common grounds where both can gain considerable security, governance, and (...) economic advantages. Most of the existing studies are focused on the assumptions that how peace in the region will come. First view is about involvement of USA and European countries on one side and stake holders in Afghanistan on the other. Some believe in a trilateral pattern i.e. Western World, Afghan stake holders and Pakistan. Many also highlight the importance of support from neighboring countries like Iran, the Central Asian Republics, and China. This study highlights the significance of a trilateral solution in Afghanistan and the steps forward from this particular aspect. The possible answer to security dilemma of Pakistan in the context of Afghanistan is a solution within the region. (shrink)

This paper aims to introduce a robust framework for forecasting demand, including data preprocessing, data transformation and standardization, feature selection, cross-validation, and regression ensemble framework. Bagging ), boosting and extreme gradient boosting regression ), and stacking are employed as ensemble models. Different machine learning approaches, including support vector regression, extreme learning machine, and multilayer perceptron neural network, are adopted as reference models. In order to maximize the determination coefficient value and reduce the root mean square error, hyperparameters are set using (...) the grid search method. Using a steel industry dataset, all tests are carried out under identical experimental conditions. In this context, STACK1 and STACK2 models provided better performance than other models. The highest accuracies of R2 of 0.97 and 0.97 are obtained using STACK1 and STACK2, respectively. Moreover, the rank according to performances is STACK1, STACK2, XGBR, GBR, RFR, MLP, ELM, and SVR. As it improves the performance of models and reduces the risk of decision-making, the ensemble method can be used to forecast the demand in a steel industry one month ahead. (shrink)

Advertising, a form of publicity, can pass on a social message so that people understand their sobligation towards society. The purpose of this study was to look into how consumers responded to socially conscious advertisements. This study conceptualizes the antecedents of attitude towards commercial advertisements that incorporate the social message, including advertising creativity, informativeness, and emotional appeal; each one can influence consumers' behavior. This study also examined the relationship between (i) Attitude towards the ad with a social message and purchase (...) intention of the consumer and (ii) Purchase intention of the consumer and subjective well-being. The interrelationships in the proposed model were investigated using structural equation modeling (SEM). A quantitative survey of university students was conducted in order to gather the data, which was based on an experiment. A field survey of 395 students was conducted to test the hypotheses. The results of the empirical tests confirm that attitude towards the advertisement positively affects the purchase intention of the consumer and that advertising creativity and emotional appeal are the key predictors of attitude towards the advertisement that highlights a social issue. And, purchase intention positively influences the subjective well-being of the consumers. This paper contributes to the theory by giving new insight into the advertising literature. It also provides the necessary knowledge to marketers and advertisers on commercial advertisements incorporating a social message and the subjective well-being of consumers. (shrink)

Given that personal source of information is preferred by the customers over company-generated marketing communications, promoting advocacy behavior among customers is of much importance for every organization. Literature suggests that an organization's corporate social responsibility (CSR) activities significantly influence individual behavior. However, the advocacy behavior of customers (ADB), from a CSR perspective, did not receive due attention. To address this literature gap, the current study attempts to explore the relationship among CSR and ADB with the intervening role of brand admiration (...) (BA). To collect the data, customers of a large fast-food service organization in Pakistan were approached. The proposed relationships were tested through the structural equation modeling (SEM) technique. The statistical evidence verifies a positive link between CSR and ADB, while BA mediated this relationship. These findings will be supportive to the fast-food business to realize the critical role of CSR for a meaningful customer-company relationship in the face of competition. (shrink)