The Dual Legality of Marijuana in the United States: Implications of Conflicting Government Policies on Consumer Well-being

Academics have recently become interested in the process by which socially controversial behaviors or practices (i.e., gambling, cosmetic procedures, drug use) become acceptable or legitimate. This article examines the “dual legality” of marijuana and its impact on consumer-related hazards through the lens of current legislation and extant literature. Simply stated, what are the implications of conflicting government policies for consumers' well-being? The intended contributions of this work are to offer significant insights into an issue of current topical and public policy importance for consumers' interests. Importantly, this work will serve as a foundation for future research on this unique product in its implications for consumers who are fundamentally altering the way in which a product is viewed and regulated.     

Emerging Market Footholds and Knowledge: An Examination of New Product Launch Performance

As developed markets become more saturated, managers increasingly recognize the value of emerging markets as venues for growth opportunities. Yet, launching products into these markets is extremely risky due to weak institutional environments (e.g., lack of physical infrastructure), making success more uncertain. To alleviate this challenge, theory points to using emerging market footholds that yield market-specific knowledge. However, it is unclear whether knowledge is realized and, if so, what facets of harvested knowledge are effective in driving performance. Accordingly, we used data collected from a survey of business professionals to examine emerging market footholds and market-specific knowledge (i.e., customer, competitor, and logistics knowledge). Our results show that the extent of market presence held by an emerging market foothold is positively associated with all types of knowledge, yet only competitor and logistics knowledge—not customer knowledge—is positively associated with product launch performance. A supplemental sample of new product launches in developed markets revealed the opposite results wherein customer knowledge was the only significant predictor. Viewed collectively, the results suggest a market maturity threshold wherein logistics and competitive knowledge becomes less influential in driving performance, and customer knowledge becomes more influential.     

By the teeth: A critical examination of James Scott's The moral economy of the peasant

Peasant households in Southeast Asia and elsewhere live on the margin of subsistence. Their survival strategies make them technological conservatives and weavers of reciprocal webs of social obligation and dependence. James C. Scott has argued that the fabric of this “moral economy” both guarantees subsistence for the peasants and forms the touchstone on which their judgements of social justice are tested. When those who should offer succor withdraw it, peasants are outraged and from their anger springs peasant rebellion. Two South Asian peasant rebellions of the 1940s (Telengana and Tebhaga) fail to support Scott's account and raise major questions about his historical method. Two others case studies focused on the early years of colonial contact (the Padri Wars and the capitalist transformation of the Kaveri delta) lead the authors to question sharply the existence of a “moral economy of the peasant” and to suggest that Scott has inadvertently presented a landlord's view of peasant society.     

Achieving Temporal Ambidexterity in New Ventures

Organizations face a common intertemporal choice problem, where actions suitable in the shortterm are different from those that work in the longterm. Building on the organizational ambidexterity theory, we argue that organizations can reconcile their short‐term and long‐term tensions, but this does necessitate managerial endeavours that orchestrate this reconciliation. We introduce the concept of temporal ambidexterity and define four intertemporal tensions involving an organization’s objectives, resources, markets, and uncertainty. We examine how firms can address these tensions successfully in the context of new ventures, and to do so we focus on three managerial capabilities of founder‐CEOs: expertise breadth, external connectivity, and empowering leadership. Results from 243 new ventures in China suggest that temporal ambidexterity improves with these managerial capabilities, and more so for younger ventures. Our findings shed light on solutions and mechanisms by which intertemporal balance is fulfilled, particularly for new ventures in a dynamic environment.     

Rater Rating‐Level Bias and Accuracy in Performance Appraisals: The Impact OF Rater Personality,Performance Management Competence,and Rater Accountability

We studied the problem of rating‐level bias and rating accuracy among retail managers of a Fortune 500 retailer. Hypotheses were tested regarding the relationship among managers’ Five‐Factor Model (FFM) personality characteristics, their competence in performance management, and their levels of bias and accuracy in appraisals made in situations differing on levels of rater accountability. Associate store managers (N = 125) rated subordinates, peers and managers under conditions of high and low rater accountability. We found support for the stability of rating‐level bias across rating situations. Raters’ levels of agreeableness and assertiveness were related to mean rating levels across situations, and U‐shaped relationships were found in predicting one measure of rating accuracy such that high and low levels of these two traits were related to greater rating inaccuracy. Conscientiousness scores were significantly (and negatively) correlated with highly accountable mean ratings of subordinates. Performance management competence was related to rating‐level bias in both high‐ and low‐accountability conditions and contributed incremental validity in the prediction of rating level and rating accuracy. Our results indicate that the most lenient raters are more agreeable, less assertive, and less competent in performance management. These raters may also be less accurate. © 2015 Wiley Periodicals, Inc.     

Trader Participation in Disclosure: Implications of Interactions with Management

Technological advances are creating a shift in the information disclosure environment allowing more investors to interact with management. We examine three key levels of trader-management interaction to assess the accuracy of traders' market-tested value estimates and resulting market price. These data require an engaging experiment and a complex, contextually rich asset, which we create by playing a popular gaming app before the experiment. Participants view financial information, ask management questions, estimate value, and trade. We find that receiving non-personalized question responses improves trader estimates of value and market price efficiency relative to when traders ask questions but do not expect a response. This occurs because traders exert more effort estimating value and trading. However, receiving personalized versus non-personalized responses harms value estimates and market efficiency. This occurs because traders receiving personalized responses fixate on the interaction with management, dividing their attention and diverting it away from valuing and trading the asset.     

The impact of early imprinting on the evolution of new venture networks

Given the argued importance of networks to new ventures, this paper is intended to fill a noted gap in the literature pertaining to the factors that influence the evolution of new ventures' alliance networks. Drawing on the imprinting literature, we propose that one has to look beyond the first partner per se, and instead focus on the extant relationships the initial partner has with other firms. More specifically, we argue and find that the network size and centrality of a new venture's initial alliance partner influence the subsequent size of the new venture's network.     

Modern Strategies for Time Series Regression

This paper discusses several modern approaches to regression analysis involving time series data where some of the predictor variables are also indexed by time. We discuss classical statistical approaches as well as methods that have been proposed recently in the machine learning literature. The approaches are compared and contrasted, and it will be seen that there are advantages and disadvantages to most currently available approaches. There is ample room for methodological developments in this area. The work is motivated by an application involving the prediction of water levels as a function of rainfall and other climate variables in an aquifer in eastern Australia.