A Process Perspective on Organizational Failure: A Qualitative Meta‐Analysis

An important stream of the organizational failure literature has proposed process models to describe how firms fail. Despite much progress, this stream is currently at a crossroads. Previous process models try to capture how failure unfolds in singular models that describe organizational failure as the result of either inertia or extremism or as a mixture of both. However, it remains unclear how these competing explanations are related and what underlying mechanisms explain why organizational failure processes unfold as they do. We address these issues by examining failure processes using a qualitative meta‐analysis research design. The qualitative meta‐analysis allows us to analyse and synthesize the wealth of previously published single‐case studies in order to develop process models of organizational failure. The most salient finding of our analysis is that failure processes converge around four distinct process archetypes, which we name imperialist, laggard, villain, and politicized. Each process archetype can be explained by the interplay of distinct rigidity and conflict mechanisms. Differentiating the four process archetypes and explaining the underlying mechanisms helps to resolve some contradictions in the previous failure process literature.     

Analysing mediating effects underlying the relationships between P–O fit,P–J fit,and organisational commitment

Abstract

Person–Organisation fit (P–O fit) and Person–Job fit (P–J fit) are important predictors of employees’ commitment to their organisations. Yet little is known about the underlying mediating variables that account for these relationships. Based on assumptions derived from Social Exchange Theory (SET) and Social Identity Theory (SIT), the present study predicts that the effects of P–J fit and P–O fit on employee commitment are mediated by job satisfaction and organisational identification, respectively. An online survey (N = 432 employees) was used to test the proposed relationships using a series of path models in AMOS. As expected, P–O fit and P–J fit are positively related to affective, normative, and continuance commitment, with P–O fit showing stronger effects than P–J fit. Organisational identification and job satisfaction completely mediate the effects of fit on the commitment facets. Evidence of differential effects for P–O fit and P–J fit suggest that different forms of fit operate in different ways to influence facets of organisational commitment. This knowledge can be helpful for advancing the integration of SIT and SET in the context of the employee–organisation relationship and for designing interventions to foster organisational commitment.     

When should workers embrace or resist new technology?

The question of how workers might respond to new technologies has lurked behind many debates on the subject. It has not been posed directly, in part because of concerns about the determinism of asking about the effects of a technology. A preliminary is to set aside these concerns by showing that effects can be identified without determinism. The main argument is that technologies can be assessed on six dimensions: intended or unintended effects; direct and indirect effects; degree of reconstitution in use; immanence; degree of success and degree of discontinuity with the past. These dimensions can then be used to pose questions about any one technology. Three illustrations suggest how such questions can be posed in concrete conditions. Technologies can be challenged so that alternatives to extant systems of work organisation can be considered.     

Corporate Expenditure on Environmental Protection

We examine the determinants of firm’s current environmental expenditure and firm’s capital investment in equipment for pollution control in Irish manufacturing industries using a Heckman selection model. The main determinants for the two types of expenditure are similar: larger, exporting and energy-intensive firms are more likely to spend. Being subject to environmental regulation also has an effect. Once the decision to commit resources has been taken, larger, older, foreign-owned, exporting and energy-intensive firms incur higher environmental expenditure. For the amount of capital investment only firm size and age play a role. This suggests that the economic and regulatory incentives in place are such that it is the largest and most polluting firms that do most to reduce pollution.     

Ethanol Production, Food and Forests

This paper investigates the direct and indirect impacts of ethanol production on land use, deforestation and food production. A partial equilibrium model of a national economy with two sectors and two regions, one of which includes a forest, is developed. It analyses how an exogenous increase in the ethanol price affects input allocation (land and labor) between sectors (energy crop and food). The total effect of ethanol prices on food production and deforestation is decomposed into three partial effects. First, the well-documented effect of direct land competition between rival uses arises; it increases deforestation and decreases food production. Second, an indirect displacement of food production across regions, possibly provoked by the reaction of international food prices, increases deforestation and reduces the food sector’s output. Finally, labor mobility between sectors and regions tends to decrease food production but also deforestation. The total impact of ethanol production on food production is negative while there is an ambiguous impact on deforestation.     

LONG‐RUN VERSUS SHORT‐RUN PERSPECTIVES ON CONSUMER SCHEDULING: EVIDENCE FROM A REVEALED‐PREFERENCE EXPERIMENT AMONG PEAK‐HOUR ROAD COMMUTERS

Earlier studies on scheduling behavior have mostly ignored that consumers have more flexibility to adjust their schedule in the long run than in the short run. We introduce the distinction between long‐run choices of travel routines and short‐run choices of departure times, using data from a real‐life peak avoidance experiment. We find that participants value travel time higher in the long‐run context, supposedly because changes in travel time can be exploited better through the adjustment of routines. Schedule delays are valued higher in the short run, reflecting that scheduling restrictions are typically more binding in the short run.     

The stability of big-five personality traits

We demonstrate that Big-Five personality traits are stable for working-age adults over a four-year period. Mean population changes are small and constant across age groups. Intra-individual changes are generally unrelated to adverse life events and are not economically meaningful.     

The Importance of Mutual Understanding Between External Accountants and Owner–Managers of SMEs

This study investigates the perspective of the owner–manager of a small or medium‐sized enterprise (SME) on the importance of mutual understanding with an external accountant. Mutual understanding means that the owner–manager understands what the accountant is saying and feels understood by the accountant. The results, based on 310 completed surveys of Belgian owner–managers, show that owner–managers who have a high level of mutual understanding use the advice of their external accountant more extensively. This is in turn positively linked to the financial health of an SME. Furthermore, several drivers that enable the establishment of a high level of mutual understanding are explored. Owner–managers with a high level of mutual understanding consider their accountant as a strategic partner, experience a high level of proactive behaviour with them, have a higher frequency of formal contact, and perceive informal contact as important. External accountants should consider these opportunities in their client management and training of internal staff. Education of clients and openness also seem very important, as the level of a client's accounting knowledge, the number of accounting topics owner–managers deal with, and transparency towards the accountant are significantly positively related to mutual understanding.     

Measuring the effects of geographical distance on stock market correlation

Recent studies suggest that the correlation of stock returns increases with decreasing geographical distance. However, there is some debate on the appropriate methodology for measuring the effects of distance on correlation. We modify a regression approach suggested in the literature and complement it with an approach from spatial statistics, the mark correlation function. For the stocks contained in the S&P 500 that we examine, both approaches lead to similar results. Contrary to previous studies we find that beyond 50 miles geographical proximity is irrelevant for stock return correlations. For distances below 50 miles, we can show that the magnitude of local correlations varies with investor sentiment.