Online consumer shopping behaviour: A review and research agenda

Over the last two decades, motivated by the continuous evolution of the technology-driven retail environment, researchers have studied various aspects of online consumer behaviour. This article attempts to take stock of this environment to critically assess the research gaps in the domain and provide future research directions. Applying a well-grounded systematic methodology following the TCCM (theory, context, characteristics and methodology) framework, 197 online consumer shopping behaviour articles were reviewed. The findings reveal that the application of theories remains limited in the current pool of literature that focuses more on developed nations. While studies have primarily considered categories such as apparel and grocery, in terms of methodology experimental and survey-based studies were most common. Additionally, the article suggests some future research directions. The use of combined theories to better understand technology acceptance by consumers of online-shopping is recommended. Similarly, studies across other categories like online experiential luxury, luxury services, or second-hand products that then link to novel constructs reflecting issues with payment methods, online service quality, and online store atmosphere are portrayed as meaningful avenues that will advance research in the domain.     

Productivity,Energy Intensity and Output: A Unit Level Analysis of the Indian Manufacturing Sector

Journal of Quantitative Economics - The objective of this study is to calculate total factor productivity and determine factors related to energy intensity for the pre-existing manufacturing plants...     

Mediating role of trust in the impact of perceived empathy and customer orientation on intention to continue relationship in Indian banks

Journal of Financial Services Marketing - Despite the relevance of empathy in banking services, very few studies in literature have investigated the multidimensional nature of both cognitive and...     

Walking the walk? Bank ESG disclosures and home mortgage lending

Review of Accounting Studies - We show that banks with high environmental, social, and governance (ESG) ratings issue fewer mortgages in poor localities—in number and dollar amount—than...     

ELECTORAL MALDISTRICTING

We introduce a framework to theoretically and empirically examine electoral maldistricting—the intentional drawing of electoral districts to advance partisan objectives, compromising voter welfare. We identify the legislatures that maximize voter welfare and those that maximize partisan goals, and incorporate them into a maldistricting index. This index measures the intent to maldistrict by comparing distances from the actual legislature to the nearest partisan and welfare-maximizing legislatures. Using 2008 presidential election data and 2010 census-based district maps, we find a Republican-leaning bias in district maps. Our index tracks court rulings in intuitive ways.     

Customer loyalty: Toward an integrated conceptual framework

Customer loyalty is viewed as the strength of the relationship between an individual’s relative attitude and repeat patronage. The relationship is seen as mediated by social norms and situational factors. Cognitive, affective, and conative antecedents of relative attitude are identified as contributing to loyalty, along with motivational, perceptual, and behavioral consequences. Implications for research and for the management of loyalty are derived. His research interests include consumer decision making, information processing, and consumer loyalty. He has published in theJournal of Consumer Research andAdvances in Consumer Research. His research interests are consumer information processing, persuasion cues in advertising, and international marketing. His articles have appeared in theJournal of Consumer Research, Journal of Marketing Research, Journal of Consumer Psychology, andCanadian Journal of Administrative Sciences as well as in a number of conference proceedings.     

Bias of OLS Estimators due to Exclusion of Relevant Variables and Inclusion of Irrelevant Variables

In this paper, I discuss three issues related to bias of OLS estimators in a general multivariate setting. First, I discuss the bias that arises from omitting relevant variables. I offer a geometric interpretation of such bias and derive sufficient conditions in terms of sign restrictions that allows us to determine the direction of bias. Second, I show that inclusion of some omitted variables will not necessarily reduce the magnitude of bias as long as some others remain omitted. Third, I show that inclusion of irrelevant variables in a model with omitted variables can also have an impact on the bias of OLS estimators. I use a running example of a simple wage regression to illustrate my arguments.     

Rural–urban migration,urban unemployment and the structural transformation of a dual economy

This paper restructures the Harris–Todaro model in such a way that rural–urban migration in the presence of urban unemployment brings in the structural transformation desired for a developing dual economy by expanding the industrial sector before any policy is introduced to cure the domestic factor market distortion. Furthermore, migration may also help to eliminate unemployment as well as the wage gap in the economy. When international trade is introduced in this restructured dual economy, trade policies would have new implications; for example, unlike in the original Harris– Todaro structure, the import tariff may bring full employment and eliminate wage gaps between the sectors.     

Stackelberg thresholds in network routing games or the value of altruism

It is well known that the Nash equilibrium in network routing games can have strictly higher cost than the optimum cost. In Stackelberg routing games, where a fraction of flow is centrally-controlled, a natural problem is to route the centrally-controlled flow such that the overall cost of the resulting equilibrium is minimized.We consider the scenario where the network administrator wants to know the minimum amount of centrally-controlled flow such that the cost of the resulting equilibrium solution is strictly less than the cost of the Nash equilibrium. We call this threshold the Stackelberg threshold and prove that for networks of parallel links with linear latency functions, it is equal to the minimum of the Nash flows on links carrying more optimum flow than Nash flow.Our approach also provides a simpler proof of characterization of the minimum fraction that must be centrally controlled to induce the optimum solution.