Analytical derivation and behavioral interpretation of a model combining trip generation and distribution

The disjointedness of the planning sequence of trip generation and trip distribution is the main subject of this paper. We approach this disjointedness problem by analyzing the central properties of the independently discovered balancing methods of trip-distribution models in relation to two critical issues. First, in the current planning sequence, it is usual to start by forecasting how many trips will begin (production) and end (attraction) in each zone. This forecasting is done by estimating the production of trips independently from the attraction of trips and vice versa, and then forcing some mechanical balance of total trips being generated in the urban system. Second, in the same planning sequence, the output of this trip-generation process is the input to the next one (trip-distribution process): forecasting the matrix that describes the number of trips between each pair of zones. This forecasting is done in general by updating an equivalent obsolete matrix that was obtained from an origin-and-destination survey. The updating is generally accomplished by adjusting the outdated matrix with the so-called balancing factors. It is the purpose of this paper to support the balancing-factors approach in forecasting trip-distribution matrices with a methodological interpretation and to explain behaviorally the balancing factors; and in the process, to show the spatial interaction between trip production and attraction and the emerging need for simultaneous specification and estimation of the whole trip-generation process.     

Impression Management Tactics and Performance Ratings: A Moderated-Mediation Framework

Purpose: The objective of this study is to contribute to the sales management literature by analyzing whether self-monitoring dimensions (the ability to adjust the presentation of one’s self and the sensitivity to the expressive behaviors of others) play a moderating role in the use of impression management—supervisor liking—performance rating nomological network.

Methodology/approach: Empirical analysis is based on dyadic data from 122 industrial salespeople and their sales managers in 9 different industries. Structural equation modelling was used to analyze the psychometric proprieties of the measurement scales, and conditional process analysis was used to test the proposed hypotheses.

Research implications: The results obtained indicate that the use of supervisor-focused impression management tactics is an indirect antecedent of a salesperson’s performance rating through sales manager liking, but not the self-focused tactics. Results also show that a self-monitoring dimension i.e., the ability to adjust the presentation of one’s self, moderates the “impression management—supervisor liking—performance rating” chain. These results provide an increased understanding of the processes involved in sales managers—salespeople’s interactions.

Practical implications: The main implication for salespeople is that the use of impression management tactics to influence performance ratings only is effective when they use supervisor-focused tactics because attempts to influence via self-focused tactics will not have any effect. The most important implication for sales managers’ is that not all impression management tactics are successfully executed and that the identification of combinations of impression management tactics and the levels of salespeople’s self-monitoring can positively influence performance appraisals by generating evaluative biases. Given that evaluative biases can produce inequitable behaviors by sales managers in the task assignments and support provided to the salespeople, it is important that sales managers are aware of when they can occur (i.e., when salespeople with a moderate ability to adjust their self-presentation use supervisor-focused tactics).

Originality/value/contribution of the article: This article contributes to the existing knowledge by two important means. First, this study proposes a model and presents an empirical test of constructs that mediate (i.e., supervisor liking) and moderate (i.e., self-monitoring dimensions) the “use of impression management tactics—sales manager liking—performance appraisal” relation. This model responds to calls for studies that analyze how impression management tactics are related to performance appraisal and when the relation between the use of these tactics and performance rating occurs. Two, this study uses data from both salespeople and their sales managers, which minimizes any risk of common method variance bias.     

Alienation in corporate America: Fact or fable?

Using NORC annual survey data, the authors selected 21 questions describing respondent attitudes toward job, life in general, and financial status. Respondents were catigorized as management, white collar, blue collar, and those not affiliated with business organizations. Attitudes were compared across the four occupational groups. Little dissatisfaction was found in any but the blue collar group. Management as a group, and men as well as women managers showed high levels of satisfaction, with few significant differences found in responses by men and women. This study does not support the earlier finding of widespread alienation in business firms.Charles B. Sannders is Professor of Business Administration at the University of Connecticut. He has written numerous articles which have been published in various management journals.Hugh M. O'Neill and Oscar W. Jensen are Assistant Professors of Business Administration at the University of Connecticut and the Fairfield University, respectively. Both have written several articles, published in management journals.     

Scale-independent North-South trade effects on the technological-knowledge bias and on wage inequality

This paper develops a general equilibrium endogenous growth model that highlights the scale-independent mechanisms through which trade-induced North-South technological-knowledge diffusion affects the technological-knowledge bias and, thus, the paths of intra-country wage inequality. In contrast with the market-size effect, stressed in the previous literature on skill-biased technological change, the operation of the emphasized price channel following openness predicts, in line with the recent trends in developed and developing countries, an increasing skilled technological-knowledge bias, which, in turn, rises wage inequality in favor of skilled labor.     

Applying search theory to determine the feasibility of eradicating an invasive population in natural environments

The detectability of invasive organisms influences the feasibility of eradicating an infestation. Search theory offers a framework for defining and measuring detectability, taking account of searcher ability, biological factors and the search environment. In this paper, search theory concepts are incorporated into a population model, and the costs of search and control are calculated as functions of the amount of search effort (the decision variable). Simulations are performed on a set of weed scenarios in a natural environment, involving different combinations of plant longevity, seed longevity and plant fecundity. Results provide preliminary estimates of the cost and duration of eradication programs to assist in prioritising weeds for control. The analysis shows that the success of an eradication program depends critically on the detectability of the target plant, the effectiveness of the control method, the labour requirements for search and control, and the germination rate of the plant.     

The importance of seasonal variability and tactical responses to risk on estimating the economic benefits of integrated weed management

Seasonal variability is an important source of risk faced by farmers and, regardless of an individual's attitude to risk, there are options to tactically adjust production strategies as the outcomes of risk become known. The objective of this article is to measure the economic benefits of alternative approaches to managing weeds, one of the most serious production problems in Australian cropping systems. A bioeconomic model that combines weed biology, crop growth and economics is developed to value the effects of seasonal variability and the role of tactical responses and sequential decision making in determining an optimal integrated weed management strategy. This shows that there are substantial differences in the measured long‐term benefits from deterministic and stochastic simulations. It is concluded that, for research evaluation of technologies that involve complex biological and dynamic systems, ignoring the impacts of seasonal variability, responses to risk and sequential decision making can lead to an incorrect estimate of the economic benefits of a technology. In this case study of optimal weed management strategies in Australia, the size of the error is high.     

Real options with unknown-date events

The real options literature has provided new insights on how to manage irreversible capital investments whose payoffs are uncertain. Two of the most important predictions from such theory are: (i) greater risk delays a firm’s investment timing, and (ii) greater risk increases the option value of waiting. This paper challenges such conclusions in a setting in which the relevant random variable is the arrival time of an unfavorable event. In particular, we model situations in which a firm must choose the time at which to invest in a project whose profit grows at a known rate until a random date is reached and decays thereafter, which may be representative of stochastic product or industry life cycles. This is a novel framework in which a firm can update its beliefs about the profitability of an investment opportunity by simply waiting to invest. Thus, a wait-and-see approach allows the firm to capitalize on favorable market evolutions and avoid adverse ones to some extent. Our framework is simple and does not require using stochastic calculus, which allows for an economic interpretation of optimal investment policies for the cases of one-time and sequential investments.