Comparative dynamics in a life cycle theory of the firm

Important insights and contributions to the corporate financial manager's decision problem have been provided by the balanced-growth financial modeling literature, e.g., see [4, 5, 8, 10, 11, 13, 15]. In the spirit of this research, the objective of this paper is twofold. First, a normative model of the dynamic financial planning process in a deterministic environment is constructed wherein the traditional, steady-state assumptions are relaxed. In contrast to prior models, the firm is allowed to pay a liquidating dividend and faces a time-dependent investment rate of return, interest rate, and equity discount rate. Necessary and sufficient conditions for the levered firm's optimal investment-financing-dividend policy decisions which maximize the wealth of its investors are developed, and a solution synthesis technique is employed to catalogue the different decisions at each time instant in terms of three earnings-growth stages over the firm's life cycle. Over this life cycle, the firm experiences high, low, and negative growth stages, with the latter stage distinguished by a liquidating dividend payout and retirement of debt outstanding. Secondly, the life cycle depiction further permits an analysis of the effects, in terms of both direction and magnitude, on the optimal duration of the firm's different growth stages and optimal growth rates due to changes in the firm's return on investment, debt-equity ratio, borrowing rate, equity discount rate, depreciation rate, and flotation costs via a comparative dynamics and simulation framework. Changes in the return on investment are found to have the most influence on the duration of the firm's growth periods and their respective earnings growth rates, while changes in the mix of financing and depreciation rate tend to have the least effect. Furthermore, the magnitudinal impact of marginal changes in any of the above firm variables is greatest at low levels of debt-to-equity and growth-in-earnings and quickly dissipates as the degree of leverage increases.     

Operating leverage as a determinant of systematic risk

Since the development of the capital asset pricing model, a number of studies have examined the effect of a firm's operating leverage on its systematic risk. The essential conclusion of these studies is that operating leverage affects systematic risk through either the contribution margin or unit variable costs. In this paper, the models derived in previous research are refined and extended to demonstrate that, for either a single-product or multiproduct firm, the degree of operating leverage measures the full effect of a firm's operating leverage on its systematic risk. In addition, it is shown that a sales variability measure should also be an important differentiating factor among the systematic risk of common stocks. Thus, the results have important practical implications for financial managers when estimating project or divisional risk for investment decisions, and for security analysts when predicting the systematic risk of common stocks.     

Impact of internal and external environmental stability on the existence of determinant buying rules

The environment of the buying center is conceptualized as having two components. One is external to the buying center but internal organization. The other is external to both the buying center and the organization. The stability of these environments explains a significant amount of variation in the existence of organizational rules that determine the outcomes of organizational buying decisions. A comparison of global and attribute- specific measures of environmental stability indicates the environmental attributes that underlie respondents' global judgements about stability.     

Some evidence on the role of money illusion in labor supply behavior

The Keynesian idea that workers are subject to money illusion in their labor supply decisions is tested by estimating a labor supply function that includes the price level as an independent variable. The model is estimated with data drawn from various BLS publications and is aggregated by SMSA. The results indicate a significant negative supply response to price-level changes after controlling for the nominal wage rate, income, and the SMSA's unemployment rate. There is no significant difference between workers' supply response to the price level and the nominal wage rate, which suggests that workers are not subject to money illusion.     

Using Box-Jenkins techniques in sales forecasting

This study analyzes the form, stability, and accuracy of Box-Jenkins forecasting models developed for 27 sales series. The order of autoregressive, differencing, and moving average factors is shown for each complete model along with “goodness of fit” criteria. Forecasting models are then presented for a reduced data set and accuracy is compared with seasonally adjusted linear regressions. The results suggest that Box-Jenkins models are often unstable, “goodness of fit” criteria are a poor guide to the best forecasting models, log transforms do not improve accuracy, and Box-Jenkins forecasts are usually (but not always) better than projections made with linear regression techniques.     

Factors influencing sales call frequency of industrial salespersons

Industrial sales representatives face a problem of allocating their time in deciding which customers or prospects to call on and how frequently to make those calls. These decisions directly influence the firm's costs and revenues, yet research in this area has been sparse. This article reports an empirical study of the relationship between the call frequency of salespersons and select characteristics of the market, the customer, and the salesperson-customer interaction. Data for the study were collected by a self-administered questionnaire which was completed by 83 salespersons representing 34 different firms. Respondents provided data concerning their call frequency on a particular customer, time in the sales territory, and responses to a series of Likert statements. Eight summative scales were developed from the statements. Multiple regression analysis was used to examine the relationship between call frequency and the independent variables. Several predictors (Role Consensus, Important Purchase Decision, Important Customer, and Customer Disposition) were salient variables in the model. The article concludes with a discussion of the implications of the research findings to marketing managers and researchers.     

From Decision Support to Decision Automation: A 2020 Vision

The authors discuss the long-run future of decision support systems in marketing. They argue that a growing proportion of marketing decisions can not only be supported but may also be automated. From a standpoint of both efficiency (e.g., management productivity) and effectiveness (e.g., resource allocation decisions), such automation is highly desirable. The authors describe how model-based automated decision-making is likely to penetrate various marketing decision-making environments and how such models can incorporate competitive dynamics. For example, the authors foresee that close to full automation can ultimately take place for many decisions about existing products in stable markets. Partial automation could characterize decision making for new products in stable markets and existing products in unstable markets.     

Valuation and firm investment and financing policies with personal tax biases

In this paper we examine firm financial policies in the presence of personal tax biases (e.g., favoring capital gains relative to interest and dividends). A form of the value additivity principle (VAP) for the tax bias case is established and applied to the firm's merger, investment, financial structure, and dividend decisions. As with the neutral tax VAP, the revised VAP requires transaction costless capital markets but does not require capital market completeness or competitiveness. Share value maximization is found not to be the proper goal for a firm that seeks to maximize the shareholders' current expected utility; however, it is found that share value maximization is generally a good approximate objective. Firm investment policy with financial structure irrelevance (owing to offsetting personal and corporate taxes) is examined assuming that the revised VAP holds.     

Microeconomic influences on operating leverage

The concept of operating leverage generally has been visualized in the context of linear break-even analysis. This paper evaluates the properties of two measures of the degree of operating leverage using a more general short-run microeconomic model of the firm. In this model, the degree of operating leverage is related positively to the price elasticity of demand for a firm's output, to its elasticity of supply for an input, and to its output elasticity. In addition, operating leverage measures are usually derived from models inconsistent with firm wealth maximizing behavior and are too simplistiic for complex models with stochastic demand, supply, and production functions.     

Social irresponsibility in management

Previously published research suggested that the typical manager may be expected to harm others in his role as a manager. Further support for this was drawn from the Panalba role-playing case. None of the 57 control groups in this case were willing to remove a dangerous drug from the market. In fact, 79% of these groups took active steps to prevent its removal. This decision was classified as irresponsible by 97% of the respondents to a questionnaire. Because the role exerts such powerful effects, an attempt was made to modify subjects' perceptions of their role so that managers would feel responsible to all of the firm's interest groups. Some subjects were told that board members should represent all interest groups; other subjects were placed on boards of directors where the different groups were represented. Subjects in both groups also received information on the impact of the decisions upon stockholders, employees, and customers. The percentage of irresponsible decisions was reduced under these conditions as only 22% of the 116 groups selected the highly irresponsible decision.     

Internationalization processes in stable and unstable market conditions: Towards a model of commitment decisions in dynamic environments

This article proposes a managerial decision framework to deal with internationalization whether in stable or dynamic environments. While displaying the effects of unstable and stable environmental settings on commitment decisions, the framework is the result of an inferential abductive approach that merges the risk management model with empirical data collected from a 32-year longitudinal case study on nine Swedish MNCs. The longitudinal analysis shows that when environmental changes are perceived as detrimental, firms tend to decrease their tangible assets and commit in a more intangible way. On the opposite, when changes to the environment are perceived as beneficial, firms follow an incremental path of commitment, preferably in tangible kind. The findings contribute new knowledge to understand such diversities in commitment decisions as divestment, wait-and-see, market-exit and re-entry.     

Managerial bias in anticipated images of competing shopping areas

Several dimensions of consumer retail patronage decisions that affect the firm's marketing program are investigated. In particular, the focus of the research extends previous research in the area to investigate the images held by consumers of shopping malls rather than individual stores. Second, the ability of store managers to accurately predict the image held by consumers both of their own shopping area and of a competitor's shopping area is investigated. This is designed to evaluate the ability of managers to predict consumer perceptions irrespective of their own beliefs. Finally, differences in the perceptions of two potential market segments are compared. Manager ability to differentiate between segments is noted. The implications for marketing programming decisions and the contribution the research makes to the body of literature on image measurement are discussed.     

Financial determinants of systematic risk in real estate investment trusts

Financial theory and empirical evidence suggest that a firm's systematic, or market related, risk is related to its financial conditions. This study empirically investigates the financial determinants of systematic risk for Real Estate Investment Trusts (REITs). The study is an examination of sample of 32 REITs for the period 1976–1978. The results indicate that systematic risk varies directly with financial leverage, business risk, and advisor fee. The explanatory power of the relationship between systematic risk and financial variables exceeds that of previous studies wherein firms were pooled across industry groups. The higher explanatory power observed even with limited data suggests that better estimates of coefficients of financial determinants of systematic risk may be obtained through analysis conducted on an industry by industry basis. Furthermore, such industry-specific analysis provides useful results to practicing financial managers in their financial policy considerations. With the knowledge of how the financial decisions affect the firm's systematic risk, a manager may be able to manipulate those variables so as to reduce the systematic risk for his or her firm and thus increase the market value of the firm's securities.     

Environmental context and marketing planning processes

The traditional model of marketing planning assumes that the process by which organizations take planning decisions is constant with respect to context. Organizational environment, internal context, performance and distinctive competency affect marketing planning only as information inputs for the planning process, not as influences on the choice of process. However, rapid change in environments, in competitive patterns and in market responses all demand action from organizations. Intuitively, we expect that rapid environmental change will require a faster planning process, and that increasing environmental complexity requires more careful deliberation. The marketing planning model does not accommodate such intuition. This paper outlines the case for rethinking marketing planning models, and develops a conceptual framework through which the impact of environmental context on marketing planning processes can be effectively examined.     

A causal analysis of psychological climate and leader behavior relationships

Individual perceptions of the work environment, or psychological climates, have been shown to be important determinants of work attitudes such as satisfaction and job involvement. However, little is known concerning the relationships between psychological climate and other variables that may lead to or cause these perceptions. This research examined causal relationships among dimensions of psychological climate and leader behavior. Specifically, the investigation attempted to determine whether leader behavior caused psychological climate, or whether psychological climate caused leader behavior. Eithty-five foremen from a truck manufacturing facility participated in the study over a 17-month period. Results of cross-lagged panel correlations and causal path analysis indicated that psychological climate caused leader behavior. Since one individual's perceptions of his/her work environment can only indirectly be linked to another person's (in this case, the leaders) behavior, an intervening variable is required to explain these findings. This variable may be a consensual or organizational climate.     

Making a first impression as a start-up: Strategies to overcome low initial trust perceptions in digital innovation adoption

High failure rates of digital innovations by start-ups indicate that consumers' initial trust perceptions are make-or-break for their survival. Hence, start-ups have to design adequate business models to manage consumers' initial trust perceptions of digital innovations. Five experiments explore how start-ups can signal trustworthiness in order to overcome low initial trust perceptions and boost adoption. We find three specific design strategies of start-ups' digital business models – customer ratings, benefit communication, and revenue model – to be effective to overcome low initial trust perceptions and to increase adoption of digital innovations. The findings demonstrate that initial trust serves as a critical mediator in the relationship between these design strategies and consumers' adoption intentions. Additionally, the chosen revenue model has differential effects on privacy concerns, which mediate the relationship between revenue model and initial trust. The present empirical insights help start-ups to craft business model design strategies for successful digital innovation launch.     

Effects of personal taxes and equity issuing costs on the firm's investment decision

The existence of preferential taxes on capital gains relative to ordinary income is widely understood to create a systematic preference for internal rather than external equity financing. This preference is magnified by the existence of issuing costs on new equity. This paper develops a procedure to account for these market imperfections in terms of an adjusted net present value that directly adjusts a project's net present value calculated without regard to the imperfections. Once the correct adjustment procedure is developed, the practical implications of personal taxes and issuing costs on the firm's investment behavior clearly emerges. These market imperfections have created a discontinuous function for the firm in obtaining equity capital. Many rational wealth-maximizing firms are forced to make investment decisions in a situation similar to capital rationing as the separation theorem between investing and financing does not generally hold. This explanation of a potentially long-run need for capital rationing is consistent with otherwise perfect capital markets.     

The FTC's handling of puffery and other selling claims made “by implication”

The Federal Trade Commission's handling of alleged false advertising representations that are made by implication is examined. Alleged false advertising presentations are held to be implied to the public by the advertiser even though they are not literally stated in his advertisement. The FTC has extended its reach over this kind of misrepresentation in recent years. Cases for 1970–76 are identified, and a catalog is developed of ten types of implications that have been attacked as deceptive during this period. Some, such as the Expansion Implication, are types established as deceptive in earlier years; others, such as the Reasonable Basis Implication, were not attacked prior to the 1970s. Some types, such as the Uniqueness Implication, have been given considerable publicity; others, such as the Inconspicuous Context Implication, are newly categorized in this paper. The consequences of FTC's identification of these types of implications, and of its growing attention to the possibility of misrepresentation by implication, are discussed in detail. A prediction is offered that attention to implications will continue to increase for some time in the future. Puffery is discussed as a category which the FTC might recognize in the future as a type of implied misrepresentation; a rationale is offered for regulating such claims. The role of the researcher is examined, using the assumption that greater attention to misrepresentation that extends beyond a message's literal meaning will produce a greater need for research. The researcher will have attractive opportunities for such work, but will have to confront the problem that playing an advocacy role in legal proceedings may involve significant conflicts with the impartial role that is appropriate for the academic researcher.     

Use of two-limit probit regression model : An analysis of lender response to loan requests

Research problems where the observed dependent variable is restricted to lie within an interval with massing of some of the observations at the limiting values of the interval are frequent in business research studies. This paper analyzes one such problem—that of lender response to a business loan application. The unique features of a regression model with a doubly limited dependent variable are explained and interpreted. Parameter estimation for such models is undertaken by maximum-likelihood techniques. In this paper maximum likelihood estimates are obtained for an empirical problem and compared with ordinary least-squares estimators. Results show substantial differences between least-squares and maximum-likelihood estimates, indicating a possibility for serious errors by using least-squares methods on models with a doubly limited dependent variable.     

The effect of social networks structure on innovation performance: A review and directions for research

Research on growth of innovations introduced to the market has gradually shifted its focus from aggregate-level diffusion to exploring how growth is influenced by a given social network structure's characteristics. In this paper, we critically review this branch of literature. We argue that the growth of an innovation in a social network is shaped by the network's structure. Borrowing from the field of industrial organization in economics, which defines itself as the study of the effect of market structure on market performance, we describe this new wave of research on growth of innovations as the effect of social network structure on innovation performance. Hence, social network structural characteristics should be incorporated into research on new product growth as well as into managerial marketing decisions such as targeting and new product seeding.We review how social network structure influences innovations' market performance. Specifically, we discuss (1) a networks' global characteristics, namely average degree, degree distribution, clustering, and degree assortativity; (2) dyadic characteristics, or the relationships between pairs of network members, namely tie strength and embeddedness; (3) intrinsic individual characteristics, namely opinion leadership and susceptibility; and (4) location-based individual characteristics, namely the degree centrality, closeness centrality, and betweenness centrality of an individual network member.Overall, we find that growth is particularly effective in networks that demonstrate the “3 Cs”: cohesion (strong mutual influence among its members), connectedness (high number of ties), and conciseness (low redundancy). We identify gaps in current knowledge, discuss the implications on managerial decision making, and suggest topics for future research.