Consumer's Perception of Website Service Quality: An Empirical Study

With the increasing penetration of the Internet, service quality has become one of the key areas of concern for online shopping sites. Website service quality has become a vital factor in making e-commerce successful because comparing the features of products in the online environment is easier, practically free of cost, and saves on time in comparison to conventional offline markets. To empirically explore the critical factors that determine perceptions of the service quality of online shopping sites, researchers adopted the eTailQ scale suggested by Wolfinbarger and Gilly (2003 Wolfinbarger, M., and M. C. Gilly. 2003. eTailQ: dimensionalizing, measuring and predicting etail quality. Journal of retailing 79 (3):183–98. doi:10.1016/s0022-4359(03)00034-4.[Crossref], [Web of Science ®] , [Google Scholar]). Web layout, web info, customer service, fulfillment, and privacy emerged as the critical factors affecting website service quality. Findings of the study are expected to provide valuable insights to academicians in better conceptualizing the constructs and also help marketing practitioners in fine-tuning their strategies by addressing the peculiar needs of the Indian online shoppers.     

Do financial distress and liquidity crises affect value and size premiums?

This study investigates the impact of liquidity crises on the relationship between stock (value and size) premiums and default risk in the US market. It first examines whether financial distress can explain value and size premiums, and then, subsequently, aims to determine whether liquidity crises increase the risk of value and size premium investment strategies. The study employs a time-varying approach and a sample of US stock returns for the period between January 1982 and March 2011, a period which includes the current liquidity crisis, so as to examine the relationship between default risk, liquidity crises and value and size premiums. The findings indicate that the default premium has explanatory power for value and size premiums, which affect firms with different characteristics. We also find that liquidity crises may actually increase the risks related to size and value premium strategies.     

Living downwind from corporate social responsibility: a community perspective on corporate practice

This paper critiques dominant corporate social responsibility (CSR) theory, which claims that commercial and social goals overlap and coincide. It is suggested that this uncritical portrayal and treatment of complex industry–community relations risks neglecting the potential tensions that may arise should these goals diverge or be in conflict. In this context, the experiences of residents in a small Western Australian town are presented to describe a long‐running conflict between community members and their corporate neighbour. The data point to a range of community impacts as a result of corporate activities and unearth strong differences between ‘local’ and ‘corporate’ understandings of CSR. Based on the perceived shortcomings of an economically underpinned CSR approach, we question the possibility of meeting local needs by means of economic efficiency. Calls are made for critical reflection on the key assumptions underlying dominant CSR theory and consideration is given to questions of guidance for CSR practitioners.     

销售战略上的有价证券模式的应用

本文认为,销售战略上利用的一般性市场、产品有价证券模式是从财务有价证券模式引用而来的,其特点是只考虑有价证券风险而不考虑市场风险;有价证券模式是把企业的外在要素与企业的内在要素结合起来评价企业的模式,对企业有效利用有限的资源以及针对市场中的各种现象制定战略非常有用,但也存在自己的缺点:一是模型为了简约太注重单一的变数,二是模型的对入与适用很复杂,三是对各产品或事业部门都有独立的战略,产品和事业间有连续性效果。     

Portfolio selection in a data-rich environment

We model portfolio weights as a function of latent factors that summarize the information in a large number of economic variables. This approach (hereafter diffusion index approach) offers the opportunity to exploit a much richer information base to improve portfolio selection. We use factor analysis to estimate the space spanned by the factors. This provides consistent estimates for the optimal weights as the number of economic variables and sample size go to infinity. We consider an empirical application to illustrate the practical usefulness of our approach. The results indicate that the diffusion index approach helps to improve the portfolio performance.     

The under-pricing of IPOs in the Gulf cooperation council countries

We document the phenomenon of under-pricing initial public offerings (IPOs) for 47 Gulf firms that went public between 2001 and 2006. The IPOs had, on average, initial abnormal returns of 290 percent, far exceeding those documented for both developed and emerging markets. In aftermarket performance, we find that these IPOs provide investors with negative abnormal returns over a one-year period, which seems to be consistent with findings in other industrial and emerging markets. The empirical models fail, however, to provide us with a satisfactory explanation using the common independent variables employed in the literature. Nevertheless, it appears that country- and industry-specific characteristics, in addition to the timing of the offers, play a key role in explaining IPO behavior in the region. This paper's empirical findings support the hypothesis that investors are initially over-optimistic about an IPO's performance, but grow more pessimistic over time.     

Can Robust Optimization Offer Improved Portfolio Performance? An Empirical Study of Indian market

Journal of Quantitative Economics - The emergence of robust optimization has been driven primarily by the necessity to address the demerits of the Markowitz model. There has been a noteworthy...     

A review of machine learning for big data analytics: bibliometric approach

ABSTRACT

The amalgamation of machine learning and big data has led to a revolution in data science with several influencing applications to various domains. To gain insights on the current research trends on machine learning for big data analytics, this study follows a bibliometric analysis methodology of citation data to review and quantitatively assess the explosion and impact of literature and research performance in this vibrant research area, which has witnessed rapid changes and rising interest in business, industry and academia. Using a variety of bibliometric measures and visualisation techniques, the paper examines and identifies several related issues including research productivity and directions, major contributors, publication trends and growth rates, citation and collaboration analysis, and others. The relevant bibliographic units for the study were collected from the Core Collection of the Web of Science bibliographic database. Nearly all the relevant publications prior to February 2018 were included in the analysis. The overwhelming productivity and wide-spread applications in several multidisciplinary domains have been revealed, with one-to-two ratio of journal to conference publications. Three countries (USA, China, India) are dominating the research output with more than two-thirds of the total productivity.     

Synthesis of Complex Criteria Decision Making: A Case Towards a Consensus Agreement for a Middle East Conflict Resolution

The title of this paper reflects both the process and the outcome of the current undertaking. Frustrated with the current state of the Middle East but encouraged by earlier attempts at modeling complex problems, the authors participated in a panel discussion assembled to address the conflict and propose a possible road-map to peace. However, the participants of this project did not come to a single course of action that will result in peace in the Middle East but did reach a consensus agreement about a resolution that needs to be managed. This paper explores the process, the outcome and the factors that influence the decision as well as potential pitfalls. The Analytic Network Process (ANP), a well known multicriteria decision making approach, applied frequently in recent years to examine conflicts around the world, is used in this analysis. It provides a framework for synthesizing judgments on the diverse aspects of the problem represented in the structure of the decision. It pieces together these judgments in a holistic and logical way.     

Basic Process Capability Indices: An Expository Review

A review of the four basic process capability indices has been made. The interrelationship among these indices has been highlighted. Attention has been drawn to their drawbacks. The relation of these indices to the proportion nonconforming has been dwelt upon and the requirement of the adequate sample size has been emphasized. Cautionary remarks on the use of these indices in the case of nonnormal distributions, skewed distributions, and autocorrelated data are also presented. The effect of measurement error on process capability indices has been dealt with in great detail.