scholarly journals The Commercial Consequences of Collective Layoffs: Close the Plant, Lose the Brand?

2020 ◽  
Vol 84 (3) ◽  
pp. 122-141
Author(s):  
Vardit Landsman ◽  
Stefan Stremersch

This article examines the effects of collective layoff announcements on sales and marketing-mix elasticities, accounting for supply-side constraints. The authors study 205 announcements in the automotive industry using a difference-in-differences model. They find that, following collective layoff announcements, layoff firms experience adverse changes in sales, advertising elasticity, and price elasticity. They explore the moderating role of announcement characteristics on these changes and find that collective layoff announcements by domestic firms and announcements that do not mention a decline in demand as a motive are more likely to be followed by adverse marketing-mix elasticity changes. On average, sales for the layoff firm in the layoff country are 8.7% lower following a collective layoff announcement than their predicted levels absent the announcement. Similarly, advertising elasticity is 9.8% lower and price elasticity is 19.2% higher than absent the announcement. Conversely, layoff firms typically decrease advertising spending in the country where collective layoffs have occurred, yet they do not change prices. These findings are relevant to marketing managers of firms undergoing collective layoffs and to analysts of collective layoff decisions.

2020 ◽  
Author(s):  
Alex Armand ◽  
◽  
Britta Augsburg ◽  
Antonella Bancalari ◽  
Bhartendu Trivedi ◽  
...  

Author(s):  
Muhammad Ahmed Butt ◽  
Paul Katuse ◽  
Juliana Namada

The study's purpose was to investigate through empirical research the moderating role of government in the relationship of porter diamond factor conditions attribute and firm’s performance in the automotive industry of Pakistan. The research methodology used positivism philosophy, a pilot study carried out to determine the reliability and validity of the instrument. The descriptive and inferential statistics constituted an integral part of statistical analysis. 194 samples selected through random sampling, a self-administered questionnaire was served to them, 166 responses received and studied. For moderation macro, PROCESS v3.0 (model 1) used to test the hypothesis. The findings of the study indicate the absence of such a study in the auto industry of Pakistan. Government policy influenced the firm’s performance in the automotive industry. Government policy did not play a moderating role in the relationship of porter diamond factor conditions determinant and firm’s performance. Theoretical implications reflect that the government's role as a moderator between the relationship of porter diamond factor conditions and the firm’s performance remained not significant. Practical implications indicate that government policy has influence over the firm’s performance, nonetheless, government policy’s mediating role between porter’s diamond factor conditions and firm’s performance have no effect. Moderation results provided a theoretical and practical context for academia, industry players, and policymakers


Crisis ◽  
2020 ◽  
Vol 41 (2) ◽  
pp. 82-88 ◽  
Author(s):  
Bob Lew ◽  
Ksenia Chistopolskaya ◽  
Yanzheng Liu ◽  
Mansor Abu Talib ◽  
Olga Mitina ◽  
...  

Abstract. Background: According to the strain theory of suicide, strains, resulting from conflicting and competing pressures in an individual's life, are hypothesized to precede suicide. But social support is an important factor that can mitigate strains and lessen their input in suicidal behavior. Aims: This study was designed to assess the moderating role of social support in the relation between strain and suicidality. Methods: A sample of 1,051 employees were recruited in Beijing, the capital of China, through an online survey. Moderation analysis was performed using SPSS PROCESS Macro. Social support was measured with the Multidimensional Scale of Perceived Social Support, and strains were assessed with the Psychological Strains Scale. Results: Psychological strains are a good predictor of suicidality, and social support, a basic need for each human being, moderates and decreases the effects of psychological strains on suicidality. Limitations: The cross-sectional survey limited the extent to which conclusions about causal relationships can be drawn. Furthermore, the results may not be generalized to the whole of China because of its diversity. Conclusion: Social support has a tendency to mitigate the effects of psychological strains on suicidality.


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