Gender discrimination in education,health, and labour market: a voice for equality

The objective of the study is to examine the impact of gender discrimination in education, health, and labour market on economic growth in a panel of 20 high-income OECD countries for the period of 1980–2015. In addition, the study proposed an index of pro-equality growth, which is flared with education, health, and labour market initiatives to promote economic growth. The results show that gender parity index for educational attainment significantly promotes economic growth while health and labour market required substantial policy reforms to reduce health and labour market inequalities to sustain long-term economic growth. The results classified three countries as highly equitable growth, one country for equitable growth, two countries are moderate growth, four countries are less equitable growth while remaining 10 countries fall in the category of inequitable growth, where greater inequality promotes economic growth on the cost of education, health, and labour market inequalities.     

Developing a Website Service Quality Scale: A Confirmatory Factor Analytic Approach

The surge in online consumers and their preference to buy over the Internet is nudging marketers to embrace e-commerce, but mere online presence without distinct user experience may not help attract and retain customers. Research suggests that website service quality is a determining factor in Internet buyer behavior. Several measurement tools have been used in the context of developed economies to measure e-service quality. The very few empirical researches in emerging economies, including India, motivated the researchers in the present study to refine the WEBQUAL 4.0 scale developed by Barnes and Vidgen (2002 Barnes, S. J., and R. T. Vidgen. 2002. An integrative approach to the assessment of e-commerce quality. Journal of Electronic Commerce Research 3 (3):114–27. [Google Scholar]) to measure the service quality at shopping websites. The present study employs tools like SPSS 20.0 and AMOSS 20.0 to analyze the data through exploratory factor analysis and confirmatory factor analysis. Study results suggest a 14-item WEBQUAL four factor (Ease of Use, Information Quality, Reliability, and Empathy) scale that is appropriate for Indian settings.     

Exploitative and exploratory innovations in emerging economies: The role of realized absorptive capacity and learning intent

This paper investigates the mediating effect of learning intent in transforming local suppliers’ potential absorptive capacity into realized absorptive capacity and its impact on exploitative and exploratory innovation. Using survey data from 155 auto parts manufacturers in Pakistan, we find that local firms’ realized absorptive capacity enables them to develop both exploitative and exploratory innovations. The findings further suggest that local suppliers’ learning intent mediates the relationship between potential and realized absorptive capacity which in turn lead to both types of innovation. In the context of the emerging economy of Pakistan, local suppliers’ absorptive capacity is found to be critically important in spurring exploitative and exploratory innovation, but learning intent enables realized absorptive capacity and thus in conjunction with realized absorptive capacity supports innovation. Consequently, there would be a strong case for policy intervention to assist emerging economy firms in building their absorptive capacity and strengthening their learning intent as a route for promoting innovation and improving their value added position in the global value chains of multinational enterprises.     

Analysing customers' reviews and ratings for online food deliveries: A text mining approach

The purpose of this study was to explore the relationship between online reviews and ratings through text mining and empirical techniques. An Indian food delivery portal ( Zomato.com ) was used, where 50 restaurants on Presence Across Nation (PAN) basis were selected through stratified random sampling. A total of 2530 reviews were collected, scrutinized, and analysed. Using the NVivo software for qualitative analysis, seven themes were identified from collected reviews, out of which, the ‘delivery’ theme was explored further for identifying sub-themes. Linear regression modelling was used to identify the variables affecting delivery ratings and sentiment analysis was also performed on the identified sub-themes. Regression results revealed that hygiene and pricing (delivery subthemes) demonstrated lower delivery ratings. These variables can be established as indicators for restaurants and related online food delivery services to build their business model around them. Similarly, negative sentiments were observed in pricing and hygiene sub-themes. Restaurants and online food services can enhance hygiene levels of their food delivery process in order to receive higher delivery ratings. Similarly, pricing of food items can be modified such that customers are not deterred from ordering the items—food and ordering service do not become cost-prohibitive. This study devised a standardized methodology for analysing vast amounts of online user-generated content (UGC). Findings from this study can be extrapolated to other sectors and service industries such as, tourism, cleaning, transportation, hospitals and engineering especially during the pandemic.     

Nature of technology and location effects on firm performance in the US medical device industry

ABSTRACT

This paper examines the location effects on firm performance (sales, employment and market value) by analyzing geographical and technological proximities in the US medical device industry. The nature of technology is introduced as a new way to scrutinize the impact of various proximities, and the findings indicate that the geographical and technological proximity in itself does not affect performance, whereas the spatially-mediated technological proximity, characterized by the technological proximity within a cluster, positively influences the performance of medical device firms. The paper addresses an important theoretical question. It consequently contributes to the effects of different proximities and nature of technology on firm performance and provides relative managerial implications interlocked with insights obtained from the medical industry.     

Can financial literacy reduce anxiety about life in old age?

This study examines the role of financial literacy in reducing anxiety about life in old age. We hypothesize that financial literacy increases preparedness for old age through better savings and investment decisions, leading to the accumulation of more assets and earning more income, which enhances financial capacity and reduces anxiety. Using data from a nationwide panel survey in Japan, we provide evidence that financial literacy can reduce anxiety about life in old age by making people capable of accumulating more assets and earning more income. Moreover, the interaction of financial literacy with age and spouse reduces anxiety, while living with children increases anxiety about life during old age. We check the robustness of our results using an alternative measure of financial literacy, changing composition of the sample, controlling for residents’ geographical dispersion, and testing for endogeneity bias. The major findings remain unchanged after considering these factors.     

ROY MODEL SORTING AND NONRANDOM SELECTION IN THE VALUATION OF A STATISTICAL LIFE*

Wage‐hedonics is used to recover the value of a statistical life (VSL) by exploiting the fact that workers choosing riskier occupations are compensated with a higher wage. Roy (Oxford Economic Papers 3 (1951), 135–46) suggests that observed wage distributions will be distorted if individuals choose jobs according to idiosyncratic returns. We describe how this type of sorting biases wage‐hedonic VSL estimates and implement two new estimation strategies that correct that bias. Using data from the Current Population Surveys, we recover VSL estimates that are three to four times larger than those based on the traditional techniques, statistically significant, and robust to a wide array of specifications.     

Do Big-Four affiliates earn audit fee premiums in emerging markets?

The paper investigates whether Big-Four affiliated (B4A) firms earn audit premiums in an emerging economy context, using Bangladesh as a case. The joint determination of audit and non-audit service fees is also examined using a sample of 122 companies listed in the Dhaka Stock Exchange. Our findings reveal that although the B4A firms do not generally earn a fee premium in Bangladesh, they charge higher audit fees for clients not purchasing non-audit services. This suggests that the B4A firms may actually lower audit fees to attract non-audit services, and cross subsidizes audit fees through non-audit-services fees. The lack of a B4A premium implies that there is lack of quality audit in emerging markets. We also document that audit and non-audit service fees are jointly determined in Bangladesh. Thus, we provide evidence of joint determination of audit and non-audit service fees in an emerging economy context.     

The Social Impact of Tourism on Singapore

The article attempts to study the social consequences of tourism in Singapore by undertaking a sample survey, which involved about 500 households selected from four main tourist areas of the city-state. The results indicate that the Singaporeans largely benefited from overseas visitors. Tourism helped to promote cultural diversity, a sense of cleanliness, and a feeling of pride in Singapore. It also helped improve various infrastructural facilities and quality of services in general. The social costs of tourism were found to be rather minimal.