The relationship between information technology capability,inventory efficiency,and shareholder wealth: A firm-level empirical analysis

Inventories represent an important strategic resource for firms, with implications for shareholder wealth. As such, firms expend considerable effort in managing their inventories efficiently. Among other factors, information technology (IT) capability can play an important role in enabling inventory efficiency and financial performance. However, insight into the chain-of-effects linking IT capability, inventory efficiency, and stock market returns and risk remains limited. In this paper, we provide a conceptual model outlining the relationships between these constructs. Next, we evaluate the model using secondary information on firms from multiple industries across the 10-year time period of 2000–2009. Our analysis confirms that firms’ IT capability plays a significant role in enhancing their inventory efficiency, which, in turn, is observed to increase stock market returns. Our results also reveal that firms’ IT capability directly reduces their stock market risk and enhances their stock market returns. Taken together, these findings, along with the conceptual model that we advance, have important research and managerial implications.     

Job Characteristics and Labor Market Discrimination in Promotions

We extend promotion signaling theory to generate new testable implications concerning racial differences in promotions. In our model, promotions signal worker ability. When tasks differ substantially across job levels, the opportunity cost of not promoting qualified non‐whites/non‐Asians is large, so employers are less likely to inefficiently withhold their promotions. Thus, given prepromotion performance, the extent to which non‐whites/non‐Asians have lower promotion probabilities decreases when tasks vary more across levels. Racial differences in wage increases at promotion diminish when tasks vary more across levels. Evidence from a single firm's personnel records supports the model's predictions concerning promotion probabilities.     

For Indian online shoppers,have saying and doing parted ways?

Grounded in the theory of planned behavior (TPB) and based on both perceptual as well as behavioral data, the study explores e‐service quality (e‐SQ) dimensions’ influence on merchandise value perception (MVP) and how these value perceptions, in turn, impact shopper loyalty intention, finally leading to word‐of‐mouth (WOM) and store patronization behavior. The model was tested for measurement and structural validity, mediation by MVP, and moderation by gender. Findings suggest that: (1) e‐SQ dimensions of efficiency and fulfillment have direct effect on MVP; (2) MVP is a key mediating variable facilitating “indirect‐only” mediation between e‐SQ dimensions and online shoppers’ loyalty intentions; (3) mediation by MVP is not moderated by gender; (4) strong association between shoppers’ loyalty intention and intention to spread positive WOM; and (5) “saying” and “doing” are incompatible because online shoppers’ loyalty intentions or WOM do not translate into store patronization behavior.     

Career success schemas and their contextual embeddedness: A comparative configurational perspective

We introduce career success schemas as critical for understanding how people in different contexts perceive and understand career success. Using a comparative configurational approach, we show, in a study of 13 countries, that two structural characteristics of career success schemas—complexity and convergence—differ across country contexts and are embedded in specific configurations of institutional factors. Adopting complexity and convergence as primary dimensions, we propose a taxonomy of career success schemas at the country level. Based on this taxonomy, we contribute to the understanding of subjective career success across countries, discuss the importance of schemas for organisational career systems in multinational enterprises, and propose specific guidelines for future comparative careers research.     

Fast Kernel Smoothing of Point Patterns on a Large Network using Two‐dimensional Convolution

We propose a computationally efficient and statistically principled method for kernel smoothing of point pattern data on a linear network. The point locations, and the network itself, are convolved with a two‐dimensional kernel and then combined into an intensity function on the network. This can be computed rapidly using the fast Fourier transform, even on large networks and for large bandwidths, and is robust against errors in network geometry. The estimator is consistent, and its statistical efficiency is only slightly suboptimal. We discuss bias, variance, asymptotics, bandwidth selection, variance estimation, relative risk estimation and adaptive smoothing. The methods are used to analyse spatially varying frequency of traffic accidents in Western Australia and the relative risk of different types of traffic accidents in Medellín, Colombia.     

Subordinate‐Superior Upward Communication: Power,Politics, and Political Skill

A multiphase study involving 1,285 respondents was conducted to answer an important yet overlooked question: for a job requiring frequent informal communication with superiors, should an organization focus more on selecting employees with higher trait‐like willingness to communicate or on providing an environment where the flow of communication is easy and aided? We found support for the latter. Further, we observed that subordinates alter their communication behaviors based on the perception of superior's power, politics in the organization, and their own political skills. The study contributes to a better understanding of how situational variables affect subordinate‐superior upward communication. Implications of the study are also discussed. © 2016 Wiley Periodicals, Inc.     

How mutual fund investors’ objective and subjective knowledge impacts their information search and processing behaviour

Contrary to the popular belief that objective knowledge (OK) (that is, what is actually stored in the memory) and subjective knowledge (SK) (that is, what individuals perceive they know) differently impact information search and information-processing behaviour, an empirical study conducted on 268 mutual fund (MF) investors suggests no significant difference in the impact of OK and SK on the width and depth of information search and information processing. The study suggests that OK and SK significantly positively impact the width and depth of information search and information-processing behaviour, however, no significant difference exists in the way they impact. The possible explanation put forward is that even though MF investors may suffer from self-deception (that is, pseudo expertise) and report high knowledge (that is, high SK), the impact of SK on actual investment behaviour is not significantly different from that of OK. The implications of the findings are also discussed.     

Household Income Inequality and Income Mobility: Implications Towards Equalizing Longer-Term Incomes in India

This paper addresses three important questions. First, what are the trends, levels and sources of income inequality in India? Second, how have been the patterns of income mobility? And finally, exploring the relationship between income mobility and income inequality in the context of India. Results, based on recent India Human Development Survey (IHDS) longitudinal data, advocate that not only is income inequality very high, nonetheless, it has increased – mainly attributable to different income sources – in India. The paper also focused on whether or not this income mobility equalizes longer-term incomes. Results suggest income mobility has resulted in-albeit not robust- equalizing longer-term incomes. Thus, based on imperative findings, the paper suggests, the nature of longer-term well-being is crucial to designing policy interventions to effectively tackle inequality and in this context, economic mobility can be seen as an avenue to long-term equality.     

Modularity in making: simplifying solution space for user innovation

An increasingly popular form of open innovation in the digital age is ‘making,’ where users innovate across multiple disciplines and make products that meet their needs, using mechanical, electronic, and digital components. These users have at their disposal, a wide solution space for innovation through various modular toolkits enabled by digital‐age technologies. This study explores and outlines how these users simplify this wide solution space to innovate and make tangible products. Following a modularity theory perspective, it draws on case studies of users and their innovations: (1) Users with initial prototype product designs based on the Internet of things (IoT) from a maker event and (2) users with established product designs from the online community platform Thingiverse. The studies found that users reused the design in the form of existing off‐the‐shelf products and utilized digital fabrication and low‐cost electronics hardware as a ‘glue’ to create physical and informational interfaces wherever needed, enabling bottom‐up modularity. They iteratively refined their innovations, gradually replacing re‐used designs with own integrated designs, reducing modularity, and reducing wastage. The study contributes to open innovation and modularity with implications on the design of products and toolkits enabled by the digital age.