Thesis advisor: Theodore Papageorgiou / This dissertation addresses questions in the labor market with a focus on firms. In the first chapter, I examine different learning opportunities across firms by distinguishing learning from coworkers and firms. The second chapter studies firm organizational spillovers. In the third chapter, I investigate how exporting affects firms' hiring decisions in the entry-level labor market. Chapter 1: This chapter examines and separately identifies two types of learning at the workplace: learning from coworkers and learning from firms. I consider a structural model of idea flows in a competitive market where workers' compensation consists of learning, amenities, and wages. Workers accumulate human capital by interacting with their coworkers and directly from their firm. Using German employee-employer matched data, I exploit a clustering method to classify firms into learning and amenity groups. Then I allow learning functions to differ across groups and separately estimate firm learning and coworker learning parameters. Amenity value is estimated from switchers by relying on features of the model. I find that both types of learning are significant, consistent with previous studies examining each learning type separately. There is significant heterogeneity across firms of different types: some firms provide workers with more firm learning, while in others, workers' learning mostly comes from their coworkers. The relationship between two non-wage compensation also varies across workers. I explore the implication of the findings for inequality. Chapter 2: In this chapter, Div Bhagia and I study whether the organizational decisions of new entrants in a market are influenced by the hierarchical structure of their incumbent peers. Using matched employer-employee data from Brazil, we classify establishments into one to four-layer entities and examine how a new entrant’s decision to add an organizational layer varies with the average number of layers of other establishments in their industry and location. To address the potential endogeneity of peers’ layers, we construct an instrument based on layers of other establishments in peers’ firms that operate in different markets. We find that new entrants are twice as likely to add a layer within five years if their average peer has one more layer at the time of entry. Our results suggest that organizational structure spillovers can provide a new source of agglomeration advantages. We also find that the influence of peers is stronger in more similar industries. Additionally, we show that new entrants with high-layer peers hire more workers from within the market in the newly created layers, indicating personnel exchanges as a mechanism for organizational spillovers. Chapter 3: I investigate the impact of exporting on hiring decisions in the entry-level labor market. Firms face higher opportunity costs of foregone output when they hire inexperienced workers, who require more training than experienced workers. Using Korean establishment-level data, where I distinctively observe experienced and inexperienced new hires, I show that exporting firms hire fewer inexperienced workers but more experienced workers than non-exporting firms. Moreover, foreign market opportunities further induce exporters to favor experienced workers. This finding suggests that high export opportunities, which increase the opportunity costs of training, may increase barriers to better jobs in the entry-level labor market for young workers. / Thesis (PhD) — Boston College, 2023. / Submitted to: Boston College. Graduate School of Arts and Sciences. / Discipline: Economics.

The main objective of this study was to explain top management perceptions of industry and firm effects on firm performance through the mediation of competitive advantage in financial service firms operating in a regulated industry in a developing Ethiopian economy. The resource-based and industry-based views, constituting the two main schools of thought explaining performance variations among firms, were used as theoretical foundation of this study. Porter’s five-forces framework was used during this process. The researcher employed a post-positivist paradigm using a cross-sectional survey design. A total of 27 financial service firms (15 banks and 12 insurance firms) that had functioned for three and more years were selected for the study. The unit of analysis was ‘firms’, while respondents were top level managers with a total target population of less than 300. A census survey rather than a sample survey was undertaken. A total of 287 survey questionnaires were distributed (banks 180 and insurance industry 107), of which 215 were collected from 26 firms (15 banks and 11 insurance firms). Of the questionnaires 206 were properly completed leading to a valid response rate of 71%. These were used for the data analysis. A variance-based PLS-SEM approach, which is relevant to evaluate the predictive effects of the industry and firm factors on firm performance, was used to explain the hypothesized model using SmartPLS 2.00 software as well as the Statistical Package for the Social Sciences program. The assessment of the hypothesized model indicated that the R2 result on firm performance variance due to the combined industry effects and firm effects was 39%, indicating a moderately significant predictive accuracy of the model. The relative direct effect size (f2) of the industry on firm performance was 3%, while firm had a direct effect size of 2%, which was small. The combined indirect relative predictive accuracy of industry and firm effect sizes on firm performance through competitive advantage was high at 27%. This was driven by the relative substantial predictive power of firm effect on competitive advantage (f2 = 65%). Furthermore, the predictive capability (Q2) assessment result of the model indicated that both industry and firm effects had a 23% relevant predictive power on firm performance. The direct relative measure of the predictive relevance (q2) value of industry effect (q2 = 0.02) on firm performance was relatively higher than that of the firm effect (q2 = 0.01). Competitive advantage had a relative predictive power of 0.12, which was driven by the direct relative predictive capability of firm effect (q2 = 0.25) on competitive advantage. The overall assessment results of the structural model revealed that the model had satisfactory statistical power to predict the hypothetical research model. The hypothesis that industry effects had an influence on the performance of financial service firms was not supported. The result indicated that industry effects had a positive and non-significant relationship with firm performance, which points to competitiveness in the financial services industry. These results were achieved against the tenets of Porter’s five-forces framework. The hypothesis that firm effects had a positive predictive effect on firm performance was also not supported, indicating that resources and capabilities do not directly lead to improved firm performance. The direct effect of competitive advantage on firm performance was supported. The mediating effect of competitive advantage between industry effects and firm performance was not significant, while the mediation of competitive advantage between firm effects and firm performance was highly significant. The findings of this study revealed that firm effects were relevant through the mediation of competitive advantage in explaining performance variances among financial service firms, operating in a strictly regulated industry. The relative predictive power of firm effect on competitive advantage was high. Firm resources, particularly intangible resources and dynamic capabilities, are the key predictors of firm performance indirectly through the mediation of competitive advantage. Such an advantage may not last long given the excessive supervision and regulations that exist and the fact that firms are being dictated to by the government to comply with its strategic direction as opposed to pursuing their own firm specific strategies. Such practice could encourage competing financial firms to converge and pursue similar types of strategies and encourage imitations to gain short term competitive advantage and superior performance. This finding contradicts the fundamental premise of the resource-based view and firm heterogeneity even though it tentatively supports the argument made by Foss and Knudsen (2003) who argue that heterogeneity is not a necessary condition to gain competitive advantage and superior firm performance. Financial service firms should not only develop and manage their resources and capabilities, but they should also monitor the changes in the industry. This finding highlights the fact that firms can create competitive advantage and enjoy superior performance in a closed and regulated industry. The findings of this research make a significant contribution to the existing debate on the resource-based and industry-based views in explaining the causes of firms’ performance variations specifically in a regulated environment. / Business Management / D.B.L.

The main objective of this study was to explain top management perceptions of industry and firm effects on firm performance through the mediation of competitive advantage in financial service firms operating in a regulated industry in a developing Ethiopian economy. The resource-based and industry-based views, constituting the two main schools of thought explaining performance variations among firms, were used as theoretical foundation of this study. Porter’s five-forces framework was used during this process. The researcher employed a post-positivist paradigm using a cross-sectional survey design. A total of 27 financial service firms (15 banks and 12 insurance firms) that had functioned for three and more years were selected for the study. The unit of analysis was ‘firms’, while respondents were top level managers with a total target population of less than 300. A census survey rather than a sample survey was undertaken. A total of 287 survey questionnaires were distributed (banks 180 and insurance industry 107), of which 215 were collected from 26 firms (15 banks and 11 insurance firms). Of the questionnaires 206 were properly completed leading to a valid response rate of 71%. These were used for the data analysis. A variance-based PLS-SEM approach, which is relevant to evaluate the predictive effects of the industry and firm factors on firm performance, was used to explain the hypothesized model using SmartPLS 2.00 software as well as the Statistical Package for the Social Sciences program. The assessment of the hypothesized model indicated that the R2 result on firm performance variance due to the combined industry effects and firm effects was 39%, indicating a moderately significant predictive accuracy of the model. The relative direct effect size (f2) of the industry on firm performance was 3%, while firm had a direct effect size of 2%, which was small. The combined indirect relative predictive accuracy of industry and firm effect sizes on firm performance through competitive advantage was high at 27%. This was driven by the relative substantial predictive power of firm effect on competitive advantage (f2 = 65%). Furthermore, the predictive capability (Q2) assessment result of the model indicated that both industry and firm effects had a 23% relevant predictive power on firm performance. The direct relative measure of the predictive relevance (q2) value of industry effect (q2 = 0.02) on firm performance was relatively higher than that of the firm effect (q2 = 0.01). Competitive advantage had a relative predictive power of 0.12, which was driven by the direct relative predictive capability of firm effect (q2 = 0.25) on competitive advantage. The overall assessment results of the structural model revealed that the model had satisfactory statistical power to predict the hypothetical research model. The hypothesis that industry effects had an influence on the performance of financial service firms was not supported. The result indicated that industry effects had a positive and non-significant relationship with firm performance, which points to competitiveness in the financial services industry. These results were achieved against the tenets of Porter’s five-forces framework. The hypothesis that firm effects had a positive predictive effect on firm performance was also not supported, indicating that resources and capabilities do not directly lead to improved firm performance. The direct effect of competitive advantage on firm performance was supported. The mediating effect of competitive advantage between industry effects and firm performance was not significant, while the mediation of competitive advantage between firm effects and firm performance was highly significant. The findings of this study revealed that firm effects were relevant through the mediation of competitive advantage in explaining performance variances among financial service firms, operating in a strictly regulated industry. The relative predictive power of firm effect on competitive advantage was high. Firm resources, particularly intangible resources and dynamic capabilities, are the key predictors of firm performance indirectly through the mediation of competitive advantage. Such an advantage may not last long given the excessive supervision and regulations that exist and the fact that firms are being dictated to by the government to comply with its strategic direction as opposed to pursuing their own firm specific strategies. Such practice could encourage competing financial firms to converge and pursue similar types of strategies and encourage imitations to gain short term competitive advantage and superior performance. This finding contradicts the fundamental premise of the resource-based view and firm heterogeneity even though it tentatively supports the argument made by Foss and Knudsen (2003) who argue that heterogeneity is not a necessary condition to gain competitive advantage and superior firm performance. Financial service firms should not only develop and manage their resources and capabilities, but they should also monitor the changes in the industry. This finding highlights the fact that firms can create competitive advantage and enjoy superior performance in a closed and regulated industry. The findings of this research make a significant contribution to the existing debate on the resource-based and industry-based views in explaining the causes of firms’ performance variations specifically in a regulated environment. / Business Management / D.B.L.