Strategies to fight low-cost rivals

Companies find it challenging and yet strangely reassuring to take on opponents whose strategies, strengths, and weaknesses resemble their own. Their obsession with familiar rivals, however, has blinded them to threats from disruptive, low-cost competitors. Successful price warriors, such as the German retailer Aldi, are changing the nature of competition by employing several tactics: focusing on just one or a few consumer segments, delivering the basic product or providing one benefit better than rivals do, and backing low prices with superefficient operations. Ignoring cutprice rivals is a mistake because they eventually force companies to vacate entire market segments. Price wars are not the answer, either: Slashing prices usually lowers profits for incumbents without driving the low-cost entrants out of business. Companies take various approaches to competing against cut-price players. Some differentiate their products--a strategy that works only in certain circumstances. Others launch low-cost businesses of their own, as many airlines did in the 1990s--a so-called dual strategy that succeeds only if companies can generate synergies between the existing businesses and the new ventures, as the financial service providers HSBC and ING did. Without synergies, corporations are better off trying to transform themselves into low-cost players, a difficult feat that Ryanair accomplished in the 1990s, or into solution providers. There will always be room for both low-cost and value-added players. How much room each will have depends not only on the industry and customers' preferences, but also on the strategies traditional businesses deploy.     

Do Short Sellers Target Firms with Poor Earnings Quality? Evidence from Earnings Restatements

We study the behavior of short sellers around earnings restatements. We find that short sellers accumulate positions in restating firms several months in advance of the restatement and subsequently unwind these positions after the drop in share price induced by the restatement. The increase in short interest is larger for firms with high levels of accruals prior to restatement. We document that heavily shorted firms experience poor subsequent performance and a higher rate of delisting. Overall, these results suggest that the motive for short selling is, at least in part, related to suspect financial reporting and that short sellers pay attention to information being conveyed by accruals.

The impact of social cues on passengers’ travel experience

Despite the importance of social cues in service experience environments, little is known about the role of other customer perceptions (OCP) in the formation of passengers’ travel experience (PTE) and loyalty in public transportation. This study examines the impact of OCP on PTE and loyalty in public transportation and also investigates the moderating role of face-consciousness between OCP and PTE. Results revealed that all three dimensions of OCP have a positive effect on PTE, which consequently influences loyalty. More importantly, face-consciousness moderated the relationship between suitable behavior and PTE. Transport managers can benefit from these findings by considering the social environment as they design their services.     

How talent capability can shape service analytics capability in the big data environment?

We know very little about how big data-driven service analytics capabilities (SAC) are built in data-driven service organizations and the potential role of talent capability in facilitating overall SAC and the impact of both on firm performance (FPER). Drawing on the dynamic capabilities (DC) approach, this study investigates the link between SAC and FPER examining the mediating role of talent capability and the moderating influence of a firm’s strategic alignment. On the basis of two Delphi studies and survey data from 267 service analysts in the US and France, the findings show that even though SAC are built on technology, talent and information capabilities, their overall impact on firm performance is mediated by the level of talent capability of service analytics managers. The findings also confirm the critical moderating impact of strategic alignment between dynamic talent capability and firm performance in the big data environment.     

How do successful scholars get their best research ideas? An exploration

We interview 24 marketing professors to ask how they got the ideas for 64 of their papers. More than three-quarters of the papers were inspired by holes in the literature, by a “stylized fact” that the current literature cannot explain, or by an interaction with a manager. The rest fall into several smaller categories that to a large extent can be seen as special cases of the three big ones. We describe how papers from each of the three big categories help move the literature forward. We also illustrate the range of situations contained in each category by way of several examples. Among the authors we interview, most do not use a single source. As these authors become more senior, managerial contacts play an increasing role, while the balance between literature and stylized facts appears to be unchanged.

     

Economic Properties of Statistical Indices: The Case of a Multidimensional Gini Index

This paper seeks to construct a Gini index of the distribution of standard of living. Since standard of living has various dimensions, we need a multidimensional Gini index (MGI). The literature on index numbers contains two distinct approaches: the statistical and the economic. In the context of MGIs the statistical approach (which obtains the indices from conditions based on statistical or data-related considerations) seems to be open to the criticism that it sometimes yields indices that violate economic norms. However, the economic approach (where the indices are derived from norms based on economic theory) also does not seem to have succeeded so far in obtaining an MGI satisfying the various normative requirements that have been proposed in the literature. This paper shows that it is possible to obtain an MGI from the statistical approach ensuring, at the same time, that the economic norms are satisfied. In this sense it is an attempt to bring the two disparate traditions in index construction referred to above closer to each other. The index that is developed here does not appear in the existing literature. Moreover, the literature does not seem to contain any other MGI satisfying all of the proposed economic norms.

     

Demographic Transition and Economic Development in Karnataka

The universal process of population change has significant attainment of social and economic implications at global level. Demographic transition is not only consisting of population growth tendency but much more along with economic consequences Karnataka is in the third stage of demographic transition and this scenario is marked with opportunities and challenges. This paper examines the demographic trends of Karnataka by using different Census data collected from Census reports and time series data over the time period of 1991–2014 collected from SRS. The fertility and mortality levels in the state have declined considerably. The districts in the Karnataka state have shown considerable increment in HDI from decade to decade. The study used the bound testing approach to co-integration; Autoregressive Distributed Lag (ARDL) model was also applied for analyzing the long run relationship whereas Error Correction Mechanism (ECM) was applied for analyzing the short run link of the demographic variables with economic growth. The study exhibited that the demographic transition positively affected the economic growth in the long run and negatively in the short run.