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.

     

Has local informational advantage disappeared?

This study examines how changes in the information environment affect the informational advantage of geographically proximate agents. The long‐term advantage of local agents disappeared at the turn of the millennium. This is accompanied by the reduction in local bias of institutional investors and equity analysts. However, institutional investors continue to trade local stocks disproportionately more often than non‐local stocks; moreover, their local trades outperform non‐local trades in the short term—even for large and liquid stocks. Our results are consistent with improvements in the information environment shortening the horizon of proximity‐based informational advantage.     

Fifty years of The Financial Review: A bibliometric overview

The Financial Review (FR) is a highly regarded journal publishing original empirical, theoretical, and methodological research in all areas of financial economics. It celebrated its golden jubilee year in 2018. Using bibliometric techniques, we analyze the journal's impact, prominent topics, most prolific authors, and their affiliated institutions and countries. Our analysis also identifies the most often cited articles at different points in the journal's history. Using textual data analytics, we identify the most frequent themes discussed between 1969 and 2018 by decade.     

Improving effectiveness of public service advertisements to prevent texting and driving of American youth

This study examines and explores the interplay of theory (regulatory focus fit and implementation intentions) and emerging technology (interactive advertising and social media ad referrals) to segment viewers more effectively and thus increases the response efficacy of public service advertisements (PSAs). Advertising, in general, and PSAs, in particular, are both entering a new era as traditional delivery platforms (print, TV, and radio) are increasingly giving way to new media (the internet and mobile smartphones), which are more dynamic as they can allow adaptability and interactivity. Using a between-subjects design, this study examined the effects of regulatory focus fit on PSA response from both traditional and interactive delivery methods. Results indicated that regulatory focus ads (promotion focus in a texting and donation context) have a positive effect on attitude toward the ads. Results also indicated that a regulatory focus ad (prevention focus) using an interactive delivery method has a positive effect on behavioral intentions. Implementation intentions analysis also indicated positive results for behavior from PSA outcomes. The findings of this study are expected to be useful for practitioners who are designing PSAs and advertisements to prevent texting and driving.     

Two-period supply chain coordination strategies with ambidextrous sustainable innovations

This study considers a manufacturer with ambidextrous sustainable innovation capability selling products in environmentally conscious market through an independent retailer in a two-period game setting. We design a two-period game theoretic and dyadic supply chain (SC) model considering exploitative and exploratory nature of environmental innovations. We study five different contract types, namely, wholesale price contract, vertical Nash game structure, cost sharing contract, revenue sharing contract and two-part tariff contract. We demonstrate the impact of market sensitivity towards sustainable innovation and cost parameters on optimal level of decision parameters. The equilibrium results reveal that a suitably designed two-part tariff contract can be used to achieve coordination in a fragmented SC. The equilibrium results assist managers to optimise the SC based on the two-period contract model. The results obtained in this study can help the decision-makers to take decisions on investment in the ambidextrous sustainable innovation under different types of contract structures.