The Pivotal Role of User-Friendly Food Label and Personality Traits on Intention to Consume Packaged Food Products

The objective of the present study was to examine the effect of friendly food labels on packaged food consumption intention. A questionnaire method was adopted for data collection. The data were collected from 14 Pakistani universities. The systematic random sampling technique was used to draw the required sample size. The sample size was 365, where 730 questionnaires were distributed among students of 14 universities to achieve the required sample. Findings disclosed that a friendly food label has a positive and significant relation with packaged food consumption intention. But in the intervening effect of personality traits between exogenous and endogenous variables, only three personality traits have positive significant mediation—extraversion, conscientiousness, and openness—whereas no mediation was found with neuroticism and agreeableness. Studies have unveiled the fact that there is need to investigate the decisiveness of personality traits for the selection of healthy food (Friedman & Kern, 2014).     

The impact of tourism on deficit in balance of payments of Pakistan: an application of bounds testing approach to cointegration

The current study is intended to analyze the long-run relationship between deficit in balance of payments (BOPs) and tourism for the period of 1976–2015 using the autoregressive distributed lag (ARDL) model. The findings of the paper exposed an indirect relationship between tourism and BOP deficit in the context of Pakistan economy, while deficit balance of trade, real effective exchange rate, and deficit in fiscal balance have a positive and significant association with the deficit in the BOPs in the long run. Based on the findings, it is recommended that policies should be devised that promote the tourism industry of Pakistan as it would be helpful in reducing the deficit in the BOPs.     

Social Media and Purchasing Behavior: A Study of the Mediating Effect of Customer Relationships

Overwhelmed by the use of social media in augmenting human interactions, researchers have developed special interest in understanding the use of social media in developing strong and customized relationships with customers. In line with this, the current study aims to explore the impact of social media on purchasing behavior with mediating effect of customer relationship. The findings indicate that majority of the respondents use social media for purchasing purpose and there is a positive relation between social media and customer relationship, as well as social media and purchasing behavior, with customer relationships fully mediating and enhancing the relationship between social media and purchasing behavior. It has been also found that the majority of the respondents use social media for purchasing purposes. This study offers new insights into the conceptual development and understanding of social media in enhancing customer relationships and affecting purchasing behavior. The study acts as a strong support and aid towards developing and managing global customer relationships through the use of social media.     

On Lindley-like mean correction in the improved estimation of linear regression models

The risks of estimators incorporating the correction to the sample mean in the spirit of Stein and Lindley are approximated in the case of small disturbances.     

A distributed lag estimator derived from Shiller's smoothness priors: An extension

In this paper we consider a polynomial distributed model with varying coefficients and Shiller's smoothness priors. It has been shown that the Bayes estimator under this specification produces a less smooth lag pattern than the Almon and Shiller estimators for the fixed coefficients case.     

The exact,large-sample and small-disturbance conditions of dominance of biased estimators in linear models

In this paper we show that while the dominance conditions of biased estimators by small-disturbance approximation are identical with the exact conditions, this is not so in the case of large-sample approximation. The use of small-disturbance approximation is suggested for various other situations.     

Local polynomial estimation of nonparametric simultaneous equations models

We define a new procedure for consistent estimation of nonparametric simultaneous equations models under the conditional mean independence restriction of Newey et al. [1999. Nonparametric estimation of triangular simultaneous equation models. Econometrica 67, 565–603]. It is based upon local polynomial regression and marginal integration techniques. We establish the asymptotic distribution of our estimator under weak data dependence conditions. Simulation evidence suggests that our estimator may significantly outperform the estimators of Pinkse [2000. Nonparametric two-step regression estimation when regressors and errors are dependent. Canadian Journal of Statistics 28, 289–300] and Newey and Powell [2003. Instrumental variable estimation of nonparametric models. Econometrica 71, 1565–1578].     

The relevance of pecking order hypothesis for the financing of computer software and biotechnology small firms: some UK evidence

This study explores the funding issues at the early stages of development of computer software and biotechnology small firms in the UK. This study reviewed previous relevant literature in this area and presents empirical evidence derived from an extensive online questionnaire survey. The sample contains a total of 83 small firms, which includes 41 biotechnology and 42 software firms. With regards to funding issues, we found that software firms reports more funding problems than the biotechnology firms. Software firms are fastest growing firms and goes through the early stages of development quicker than the biotechnology firms. With regards to the sources of funding the evidence shows that biotechnology small firms mainly use venture capital finance whilst the main source of funding for the software firms are personal savings and house mortgage/re-mortgage. On the one hand, software firms seem to follow the pecking order hypothesis whilst financing their business growth and development. On the other hand, the pecking order hypothesis may not be fully followed by the biotechnology small firms. However, both software and biotechnology small firms report difficulties in securing equity finance. Software firms are financially constrained not only due to the supply side financial constraints but also by the demand side financial constraints.     

Socially responsible investment: insights from Shari'a departments in Islamic financial institutions

Islamic financial institutions (IFIs) are emerging as prominent players in the financial world and are increasingly known for their conservative socially responsible investment (SRI). Being the Shari'a regulators and monitors of IFIs, the Shari'a departments are expected to implement the Islamic perspective of SRI – drawn from Shari'a principles – in their respective institutions. The purpose of this paper is to develop an SRI framework applicable to IFIs and other Shari'a compliant entities and assess its applicability within Shari'a departments of two Islamic banks. This paper involves cross‐case analysis based on interviews with Shari'a department officials in two settings differentiated by their respective independence. The proposed framework consists of required, expected and desired SRI aspects as applicable to IFIs. The findings reveal that the required aspects are uniformly observed by the two cases. There are, however, variations when it comes to observing the expected and desired ethical SRI aspects that may be driven by the independence of the Shari'a boards. This inconsistency and non‐adherence of expected and desired aspects may lead to reputational risks in the long run.