Exploring the Impact of Social Axioms on Firm Reputation: A Stakeholder Perspective

This study proposes a model of how deeply held beliefs, known as ‘social axioms, moderate the interaction between reputation, its causes and consequences with stakeholders. It contributes to the stakeholder relational field of reputation theory by explaining why the same organizational stimuli lead to different individual stakeholder responses. The study provides a shift in reputation research from organizational‐level stimuli as the root causes of stakeholder responses to exploring the interaction between individual beliefs and organizational stimuli in determining reputational consequences. Building on a conceptual model that incorporates product/service quality and social responsibility as key reputational dimensions, the authors test empirically for moderating influences, in the form of social axioms, between reputation‐related antecedents and consequences, using component‐based structural equation modelling (n = 204). In several model paths, significant differences are found between responses of individuals identified as either high or low on social cynicism, fate control and religiosity. The results suggest that stakeholder responses to reputation‐related stimuli can be systematically predicted as a function of the interactions between the deeply held beliefs of individuals and these stimuli. The authors offer recommendations on how strategic reputation management can be approached within and across stakeholder groups at a time when firms grapple with effective management of diverse stakeholder expectations.     

Dirichlet models for square contingency tables

We consider the square contingency tables which arise when the same method of classification is applied twice. The hypothesis of marginal homogeneity is then relevant! and can be tested by various methods Models are discussed which contain marginal homogeneity as a special case. They include a class based on univariate and bivariate Dirichlet distributions. The question of ordered categories is briefly discussed. Applications are made to data on unaided distance vision.     

Multicollinearity and the value of a priori information

A measure of multicollinearity is defined which is useful in evaluating maintained hypotheses and aiding estimator selection as it suggests when a non-traditional estimator proposed by Bock (1975) is minimax and dominates ordinary least squares. An example is used to illustrate the presented methodology.     

The Social Basis of Agro‐Environmental Concern: Physical versus Social Proximity

Abstract In this study, we explore the social basis of environmental concern, specifically focusing on attitudes about the agricultural environment in relation to an individual's geographic and social distance from agriculture. We also consider the significance of rural recreational behaviors in relation to agro‐environmental concern. The analysis, based on data from a statewide survey of Ohioans, reveals a strong relationship between one's geographic location along the rural‐urban continuum and attitudes about agriculture and the environment. This relationship, though, does not exist once the effects of social proximity to agriculture are accounted for, suggesting that the relationship between residential location along the rural‐urban continuum and agro‐environmental attitudes may be spurious. The analysis also reveals a strong relationship between participation in rural recreation and attitudes about agriculture and the environment. We describe several conceptual and practical implications of this research for natural‐resource management.     

Use of prior information for estimating the variance components

The MINQUE and its modifications are considered for estimating the variances of the balanced one-way random effects model. The effects of the a priori values on the estimators of the variances are examined in detail. The Mean Square Errors of the estimators are compared for variations in the prior values of the unknown variances.     

Modernization and the Demographic Transition: Cross-Sectional and Longitudinal Analyses of a Revised Model

Abstract

We specify a revised model of the demographic transition which accounts for national fertility levels and changes over the past two decades. The model includes cultural, geographic, demographic and family planning program variables, in addition to a measure of national socio-economic modernization. Using crude birth rates for 117 countries, we operationalize and then apply the revised model to 1974 rates, and then test a longitudinal model of 1955–59 to 1974 change in rates. A final model for 81 less developed nations from the original set of 117 countries includes a measure of family planning program effort. Including this highly significant measure in a model of 1955–59 to 1974 change results in further evidence favoring modification of the traditional demographic transition model. Implications for the future course of fertility in underdeveloped countries are discussed.     

Measuring and analysing supply chain schedule stability: A case study in the automotive industry

Final assembly plants send material schedules to first-tier suppliers who in turn send schedules to second-tier suppliers and so on through the multiple tiers of the supply chain. A key cost driver for the supply chain is a schedule characteristic termed stability. The Total Quality Management approach is applied to improve schedule stability in the supply chain of a large vertically integrated automotive manufacturer. A measurement described, actual stability results are provided, the causes of instability are listed, and some corrective actions are specified. Results indicate that schedule stability can be improved without damaging the performance of other measures such as inventory and customer responsiveness. and analysis process is     

Linking aggregate production planning with marketing pricing decisions

In this paper, we link production planning decisions to marketing decisions that involve the price of product groups. The focus of this paper is the development of a closed-loop procedure for aggregate production planning and pricing. We seek to satisfy uncertain demand while minimizing total costs that include material, labour, and inventory holding costs. The procedure is useful for variable demand to update short-term aggregate plans.     

Transforming Politics: Power and Resistance

Masked activists, self-identifying as anarchists, taking from supermarkets and handing goods to passers-by are the topic of this profile. Over 50 such acts have occurred across Greece since the onset of the financial, political and social crisis in 2008. We present a snapshot of the phenomenon of collective expropriation and position it within a context of further market-oriented forms of resistance to ‘austerity politics’.