Short–run electricity demand forecasts in Maharashtra

This paper, has tried to forecast monthly maximum electricity demand for the state Maharashtra, India, using Multiplicative Seasonal Autoregressive Integrated Moving Average (MSARIMA) method for seasonally unadjusted monthly data spanning from April 1980 to June 1999. The forecasted period is 18 months ahead from June 1999. This study's basic findings are that the series does not reveal any drastic change for the forecasted period. It continues to follow the same trend along with the seasonal variation.     

A Stochastic Dynamic Programming Analysis of Farmland Investment and Financial Management

This paper develops a multiperiod investment portfolio model that includes risky farmland, risky and risk‐free nonfarm assets, and debt financing on farmland in the presence of transaction costs and credit constraints. The model is formulated as a stochastic continuous‐state dynamic programming problem, and is solved numerically for Southwestern Minnesota, USA. Results show that optimal investment decisions are dynamic and take into account the future decisions due to uncertainty, partial irreversibility, and the option to wait. The optimal policy includes ranges of inaction, states where the optimal policy in the current year is to wait. The risk‐averse farmer makes a lower investment in risky farmland reflecting risk‐avoiding behavior. We find that, in addition to risk aversion, the length of the planning horizon affects risk‐avoiding behavior in investment decisions. In contrast to a static model, changes in the riskiness of returns affect optimal investment decisions even when the decision maker is risk neutral. Finally, we find that higher debt financing on farmland is optimal when risky nonfarm assets can be included in the optimal investment portfolio and that the probability of exiting farming increases with the risky nonfarm investment. Dans le présent article, nous avons élaboré un modèle de portefeuille multipériode composé d'actifs agricoles risqués (terres), d'actifs non agricoles risqués et sans risque ainsi que de financement par emprunt de terres comprenant des coûts de transaction et des contraintes de crédit. Le modèle a été formulé comme un problème de programmation dynamique stochastique en temps continu et a été résolu de façon numérique pour le sud‐ouest du Minnesota, aux États‐Unis. Les résultats ont montré que les décisions optimales d'investissement sont dynamiques et qu’elles tiennent compte des décisions futures en raison de l'incertitude, de l'irréversibilité partielle et du choix d'attendre. La politique optimale inclut des plages d'inaction et des situations où la politique optimale de l'année en cours doit attendre. L'agriculteur risquophobe investit peu dans des actifs fonciers risqués ce qui traduit un comportement d'évitement des risques. Nous sommes arrivés à la conclusion que la longueur de l'horizon de planification, en plus de l'aversion pour le risque, influe sur le comportement d'évitement des risques au moment de prendre des décisions d'investissement. Contrairement au modèle statique, les changements dans les risques de rendements influent sur les décisions optimales d'investissement même si le décideur est indifférent au risque. Finalement, nous avons trouvé que le financement par emprunt pour des terres agricoles est optimal lorsqu’il est possible d'inclure des actifs non agricoles risqués dans le portefeuille optimal et que la probabilité de quitter l'agriculture augmente en présence d'investissements non agricoles risqués.     

Integration of South Asian Economies: an exercise in frustration?

This paper examines the factors underlying the slow progress towards economic integration between the countries of the South Asian region, and discusses the worth and likelihood of an effective agreement. It is argued that substantial integration will only take place after further economic growth leads to increased complementarity in their economic structures.     

Estimating the recreational value of Pakistan's largest freshwater lake to support sustainable tourism management using a travel cost model

Keenjhar Lake, Pakistan's largest freshwater lake and an important Ramsar site, provides habitat for internationally important water birds. Annually, 385,000 people visit the lake. The lake is threatened by a variety of causes, including industrial and agricultural pollution. To support its sustainable management and conservation, the lake's recreational value is estimated using an individual travel cost model. Randomly selected visitors are interviewed during peak season about their recreational travel behavior and perception of lake conditions. Key issues in travel cost modeling are addressed, including the opportunity cost of time, group travel, substitution and income effects, and endogenous stratification and truncation due to on-site sampling. Poisson and negative binomial regression models produce similar results. We find significant over-dispersion, and therefore, use the more conservative truncated negative binomial model results to estimate consumer surplus. The value of this assessment method for resource managers is illustrated by comparing the consumer surplus with existing pricing and budgeting mechanisms. The annual flow of benefits from lake recreation appears to be almost 50 times higher than the average entrance fee paid by the predominantly higher-income segments visiting the lake, suggesting scope for increasing fees and reallocating government budgets to finance the necessary lake protection measures.     

Timing Movie Release on the Internet in the Context of Piracy

Offering movies on the Internet is one way of combating the issue of online movie piracy, although the tradeoff is the cannibalization of the more revenue-generating channels. Given this tradeoff and the rather unique “staggered window distribution” mechanism followed by the movie industry, this article addresses the problem of when the studio owner should release the movie online to maximize the entire revenue stream of that movie. A general modeling approach that assumes an exponential demand function and fixed release times in the remaining channels is provided. Detailed illustration using three different movie types demonstrates that a high revenue-generating movie should be released online just prior to its home video release, while the online release of an average or below-average movie should coincide with their withdrawal from the theaters. Sensitivity analyses of the results are also displayed and give the circumstances under which a different online release time is warranted. The analysis suggests, among other things, that if a movie has an excellent opening strength and is able to sustain its revenues quite well, it would be more profitable to release the movie online a few weeks before it is withdrawn from the theaters. Additionally, the standard outcomes generated by the model are found to be sensitive to any online per-unit price change.     

Is sexy better than funny? Disentangling the persuasive effects of pleasure and arousal across sex and humour appeals

Although it is well known that sex and humour can help sell products, hardly any research has examined whether there is something particular about sexual advertisements that makes them more persuasive than other appeals. The present research proposed an empirically robust way to test the persuasiveness of different emotional appeals (sex, humour, control) by matching them on pleasure and arousal levels. Two experiments (N = 162; N = 301) examined the combined persuasive effects of different levels of pleasure (moderate, high) and arousal (moderate, high) for sexual and nonsexual appeals. Study 1 used a 3 (appeal: sexual, humorous, control) × 2 (pleasure level: moderate, high) between-subjects design. Study 2 employed a 2 (appeal: sexual, control) × 2 (arousal level: moderate, high) × 2 (pleasure level: moderate, high) design. The main dependent measures were attitudes towards the ad, attitudes towards the brand, and purchase intentions. The results showed that highly pleasant ads increased persuasion regardless of arousal and content, and that sexual appeals outperformed nonsexual appeals only under conditions of moderate pleasure and high arousal.     

Convenience,Satisfaction, and Post-Purchase Behavior in India's Health Insurance Market

ABSTRACT

Understanding the antecedents and implications of “service convenience” has acquired added importance with consumers' growing desire for ease during product or service exchange. Although the effects of service convenience, as a first-order construct, on post-purchase behavior have been studied in different business contexts, not much has been done in the case of a second-order construct which has been attempted here. The present study seeks to examine the mediating role of consumers' satisfaction as well as the moderating role of organizational and consumer personal factors that have not been sufficiently explored in the marketing literature. Structural equation analysis is adopted to test the hypothesized relationships using responses from 424 consumers who have purchased health insurance from six leading insurers in India. The findings validated that the service convenience affects consumer satisfaction, which, in turn, plays both a direct and mediating role in influencing consumers' repurchase intention. However, the role of organizational and consumer personal factors as moderators between service convenience and consumers' satisfaction could only be established indirectly through post-hoc analysis, which calls for further research. The results have important implications for planning, designing, and managing the health insurance business.     

Logo design in marketing communications: Brand logo complexity moderates exposure effects on brand recognition and brand attitude

Although good logos are essential for creating brand awareness and brand equity, the effects of logo design features have not been tested empirically. Extending previous findings regarding the effects of design complexity and exposure in advertising to the field of brand logos, two experiments tested the effects of logo complexity and exposure on brand recognition and brand attitude. It was hypothesized that logo complexity moderates the effects of exposure on logo recognition and brand attitudes, such that exposure increases recognition and positively impacts brand attitudes in particular for complex logos. Experiment 1 (N = 68) tested the effects of six unfamiliar logos on recognition (in milliseconds) in a 2 (logo design complexity: simple vs complex) × 2 (logo exposure: one vs four) mixed design. Experiment 2 (N = 164) tested the effects of eight familiar logos on logo recognition and brand attitudes in a 2 (complexity: simple vs complex) × 2 (logo exposure: well-established vs recently established) within-subjects design. Findings showed that increases in exposure led to an increase in brand recognition and to more positive attitudes in particular for complex brand logos, suggesting short-term benefits for simple brand logos, and long-term benefits for complex logos.     

The Firm's Management of Social Interactions

Consumer choice is influenced in a direct and meaningful way by the actions taken by others. These “actions” range from face-to-face recommendations from a friend to the passive observation of what a stranger is wearing. We refer to the set of such contexts as “social interactions” (SI). We believe that at least some of the SI effects are partially within the firm's control and that this represents an exciting research opportunity. We present an agenda that identifies a list of unanswered questions of potential interest to both researchers and managers. In order to appreciate the firm's choices with respect to its management of SI, it is important to first evaluate where we are in terms of understanding the phenomena themselves. We highlight five questions in this regard: (1) What are the antecedents of word of mouth (WOM)? (2) How does the transmission of positive WOM differ from that of negative WOM? (3) How does online WOM differ from offline WOM? (4) What is the impact of WOM? (5) How can we measure WOM? Finally, we identify and discuss four principal, non-mutually exclusive, roles that the firm might play: (1) observer, (2) moderator, (3) mediator, and (4) participant.     

Cognitive Biases and Strategic Decision Processes: An Integrative Perspective

Previous studies have not adequately addressed the role of cognitive biases in strategic decision processes. In this article we suggest that cognitive biases are systematically associated with strategic decision processes. Different decision processes tend to accentuate particular types of cognitive bias. We develop an integrative framework to explore the presence of four basic types of cognitive bias under five different modes of decision making. The cognitive biases include prior hypotheses and focusing on limited targets, exposure to limited alternatives, insensitivity to outcome probabilities and illusion of manageability. The five modes of strategic decision making are rational, avoidance, logical incrementalist, political and garbage can. We suggest a number of key propositions to facilitate empirical testing of the various contingent relationships implicit in the framework. Lastly, we discuss the implications of this framework for research and managerial practice.