Purpose – The aim of this paper is to examine the factors that lead to either success or failure of small firms in Pakistan. Design/methodology/approach – This study methodology is a survey research applying the Lussier Model of business success and failure with a sample of 143 small businesses to better understand the reasons of their success or failure using logistic regression statistical analysis. Findings – Results indicate that business planning, proper employee staffing, adequate capital inflows and partnerships are important for the viability and success of small businesses in Pakistan. Practical implications – Results provide further support for the validity of the Lussier Model in Pakistan and globally. Thus, small business owner/managers can use the model to help improve their chances of success and to avoid failure. Other stakeholders, including parties that assist and advise them, investors and institutions who/that provide them with capital and other resources and communities and society by and large, can also benefit from this model. The results and discussion also provide information to assist public policymakers in developing programs to support small business development. Originality/value – This is the first study on success and failure of small businesses in Pakistan. With the great discrepancy in the literature as to which variables, in fact, distinguish success from failure, there is no accepted theory. Thus, this study contributes to the literature to better understand why some businesses succeed and others fail, and it supports the use of the Lussier Model globally.

Purpose This paper aims to examine the mediating role of environmental concern in the relationship of green purchase awareness and purchasing behavior of fast food consumers keeping in view the theory of planned behavior. Design/methodology/approach A quantitative, cross-sectional design is used by collecting primary responses through a validated questionnaire. In all, 1,008 male and female buyers of fast food were sampled. Structural equation modeling is applied. Findings The results revealed that green purchase awareness has a positive relationship with green purchase behavior, and environmental concern has no mediation in the relationship. Upon having awareness, the respondents adopted green or pro-environmental behavior, but at the same time, they were found having least concern for the protection of environment. Research limitations/implications This is a cross-sectional study with questionnaire. Multiple sources of data collection results in weakening self-reporting bias. Practical implications Implications count toward individuals, enterprises and society at general. Originality/value The study highlights the issue of not having concern for the protection of the environment even after having green purchase awareness. This is the first time the environmental concern is examined as a mediator in the selected relationship. The contradictory results of having no environmental concern differentiate this study from others.

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The study emphasized on the role of hierarchy of effects model in advertisement and reviewed its historical background along with different phases. This study clarified the early development phase, modern development phase, some challenges and defenses, and digital phase of the model in detail. The study highlighted different steps of hierarchy of effects model and how it effectively influence customers mind in advertisement. The study mentioned the steps of awareness, interest, desire, action which is also known as AIDA model. The study anticipated that AIDA is the oldest acronym of marketing. It is best, will never change and can be applied to print, social, mobile, online and digital advertising.

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Background: Climate change is an alarming challenge for humanity at large due to its mediating role in emergence and spread of infectious diseases like cholera and malaria. This study was conducted to examine the effect of climate change and some socio-economic factors on incidence of infectious diseases. Methods: We used country level panel data over the 1990-2017 period using panel ARDL-PMG technique on highly affected countries from climate change. Results: There is a long run co-integrating relationship among climate change, socio-economic factors and prevalence of infectious diseases. Climate change, as measured by the temperature, is contributing to the spread of infectious diseases. Conclusion: This is the first study giving evidence of the impact of climate change on incidence of infectious diseases as can be seen from highly vulnerable countries to climate change. It is recommended to improve the level of education along with public health and town planning to reduce the incidence of infectious diseases.    

There is a need to understand the importance of sustainability of economies by the students especially undergoing business education and look for avenues that provide support to sustainability, in which ecopreneurship is one. The current study examines the intentions to adopt ecopreneurship while extending the theory of planned behavior model by including the dual moderating role of collectivism and altruism while taking developing country context as a field of analysis. Data were collected from students of two universities located in a rural district and student participants of entrepreneurship training workshop. Results show that ecopreneurship is mainly driven by subjective norms and self-efficacy while attitude towards ecopreneurship become significant in presence of collectivism and altruism not otherwise. Similarly, the dual moderating role of collectivism and altruism has been identified by the significance of threeway interactions for attitude, subjective norms and self-efficacy with collectivism and altruism respectively.

The study’s objective is to evaluate the impact of environmental sustainability rating, financial development, changes in the price level and carbon damages on the new COVID-19 cases in a cross-sectional panel of 17 countries. The study developed two broad models to analyse the relationship between the stated factors at the current level and forecast level. The results show that improvement in the environmental sustainability rating and financial efficiency reduces the COVID-19 cases, while continued economic growth and changes in price level likely to exacerbate the COVID-19 cases across countries. The forecast results suggest the U-shaped relationship between COVID-19 cases and carbon damages controlling financial development, price level and environmental sustainability rating. The variance decomposition analysis shows that carbon damages, environmental sustainability rating and price level changes will largely influence COVID-19 cases over the next year. The soundness of economic and ecological regulated policies would be helpful to contain coronavirus cases globally.