Search results

This paper describes how firm characteristics evolve in different industries. In particular, it reports on relationships between industry performance and competitor diversity in the American economy from 1981 to 1997. Industry performance is measured using a prospective measure of performance (Tobin's q) and a measure of performance that reflects historical competence (accounting profitability). Competitor diversity is characterized by differences in size, operating margin, asset composition, and asset utilization. The results indicate significant diversity among competitors in both high- and low-performance industries. The study suggests that low industry performance may be associated with processes of transition in competitor characteristics.

The purpose of this paper is to present a review of variance decomposition studies of firm performance and the theoretical foundations that served as the antecedents and promptings for this stream of research. Known collectively as “variance decomposition literature,” these studies use variance decomposition techniques to partition firm performance into various classes of effects in a bid to unveil the relative importance of factors responsible for firm performance variance.

A review of papers published in SCOPUS and institute for scientific information indexed journals was conducted.

The study found that firm, industry, corporate, business group and country effects are the major effects included in most extant studies. However, of all effects, firm effects remain the dominant and most important impact on firm performance. The effects that affect firm performance are also interdependent.

Consequently, the decisions of managers in firms are still the most important element in helping the firm to navigate industry and contextual factors, especially during periods of recession.

From the review, research gaps were identified and suggestions for future research provided. There is still much to learn from variance decomposition literature in an age of new business models, unprecedented start-up firms and from developing and emerging market countries.

Even though there is a vast body of research on the performance of mergers in the developed markets, many issues are still unresolved. There is almost negligible research in the form of published papers on the performance of merged firms and the strategic factors impacting this performance, in the context of Indian industry. This study aims to address this gap in knowledge.

The study uses a quantitative method and statistically analyses secondary data.

The study finds that merged firms demonstrate better operating performance as compared to both their industries and their pre‐merger performance. Merging firms belonging to unrelated industries appear to be performing better in the long‐term as compared to the related firms. Mergers which witness transfer of corporate control demonstrate a better performance than the ones that do not. Sick acquired firms negatively impact long‐term performance.

The first limitation of the study is that the financial sector has not been included since it follows different accounting norms. The second limitation is that the findings apply broadly across Indian industry and the limited sample size does not facilitate an industry‐specific focus. The study points towards further research using a longer time frame that might help understand longitudinal variations in merged firm performance. It also encourages future finer‐grained studies on each of the factors which impact merged firm performance.

Managers can prudently utilize mergers to improve firm performance in Indian industry. It appears that firms belonging to unrelated industries bestow better long‐term post‐merger cash flow returns. Managers in India do not thus have to constrain themselves to only horizontal mergers. Managers would be well‐advised to improve on their managerial capabilities since this study points towards a developing market for corporate control in the Indian context.

This is probably the first paper of its kind on research on the performance of merged firms in India.

This paper aims to examine empirically the relationships among industry environment, diversification motivations and corporate performance for a sample of Taiwanese automobile enterprises.

A 55‐item survey questionnaire was developed to obtain the responses from companies in the automobile industry in Taiwan. Independent sample t‐test and χ² tests were employed to confirm the homogeneity between the respondents and non‐respondents by firm's characteristics, including by industry, number of employees, and capital.

The results suggest that industry environment has positive and significant impact on diversification motivations, and has positive but not significant impact on corporate performance. Diversification motivations has positive and significant impact on corporate performance. The results also indicate that firms of higher capital amounts have greater influence on diversification motivations and corporate performance, firms of publicly listed have greater influence on industry environment, diversification motivations and corporate performance and firms of higher degree of diversification have greater influence on diversification motivations only.

Several limitations exist in this study. This study adopts the cross‐sectional research design and examines firms at one point time and because of the constraints of time and data availability, longitudinal research was not viable in this study. Also the amount of variation for some regression models is low.

The paper's results not only provide researchers with a theoretical basis for further research, but also provide top management teams with important data when engaging in diversification.

The purpose of this study is to explore the total quality management (TQM) practices and identify their effect on the nonfinancial performance (NFP) in the automotive engineering industry in Ethiopia. Despite many studies investigating the relationship between TQM practices and NFP, rare research has been conducted on TQM in automotive industries, making this a hugely unexplored field.

The data underlying this study was collected using more than 500 self-administered questionnaire survey, distributed to the employees working under different departments and factories under one automotive engineering industry. Extensive data screening and refinement processes for discarding irrelevant items for the questionnaire (Likert five-point scale) were carried out. The data was employed to test the proposed theoretical model, established with the objective of assessing the effect of TQM practices on the NFP in the case industry. Empirical validated relations have been proofed for previously done researches that there were positive relations between the TQM practices and NFP. Different statistical tools applied include descriptive data analysis, correlation analysis, mean scale test, reliability analysis and factor analysis, and finally, two models were developed based on structural equation modeling by using SPSS and AMOS-26 software.

Results found in this study were quite surprising. Initially, there was a total of ten TQM factors. The six independent factors survived from factor analysis only two factors (employee involvement and innovation) were contributing to the NFP. The study was acted as a performance evaluation system to track the industry NFP. Although the study focused on the effect of TQM practices, for more results it is recommended to conduct a 360-degree further research study to reveal the weaknesses, strengths, opportunities and challenges of the case industry performance.

Every research has its own limitations. The way the analysis is conducted in this study ensures that the limitations do not compromise the validity of the results obtained. Control variables (industry type, size, age, process type and technology used) are not considered in the research which may affect the results obtained. The study included the automobile industry alone, so the obtained results cannot be generalized to other industries.

The positive relationship between the TQM practices and NFP measures indicates the importance of each of these practices in improving the industry. Researchers/managers/practitioners can use this developed model periodically to understand where the industry stands in the quality management journey. They can also analyze the effect of TQM practices on financial as well as operational performance measures. The research findings can also motivate the top management of the industry for better planning of goals, to arrange resources in time, in pursuit of improving quality, employee and industry performance.

The Ethiopian manufacturing industry is required to improve their manufacturing and service quality, in order to enhance their productivity and boost their competitiveness in an international market, which is the basis of this study. This study signifies one of the first attempts to empirically explore this linkage between TQM and performance in the Ethiopian automotive industry context.

Study in supply chain performance research on the shipbuilding industry is lacking. The purpose of this research is to study and provide guidelines to improve the performance of traditional shipbuilding supply chains in Indonesia.

The paper develops an empirical study gathered from a traditional shipbuilding industry, its suppliers, and customers. This study consists of three sections: the traditional shipbuilding industry, the suppliers, and the individual supplier scores. The internal and external performances in this study are measured using Supply Chain Operations Reference (SCOR) metrics. The SCOR model identifies five performance measurement attributes, including reliability, flexibility, responsiveness, cost and assets. Instead of using “responsiveness,” this study applies the schedule performance index, and supplements “cost” with the cost performance index in order to accurately reflect the traditional shipbuilding supply chains processes.

By analyzing SCOR metrics in the traditional shipbuilding industry, it has been found that the ideal shipbuilding supply chain metrics are order fulfillment, flexibility, asset turnover and total supply chain costs. The lowest performance metric value in the traditional shipbuilding industry is the cost of goods. Some improvements are proposed to lower the high cost of ship building. An integrated economic ordering system in collaboration with all the suppliers is one of the most effective ways to reduce the cost of the traditional shipbuilding supply chains. The implementation of SCOR metrics enables management to identify the critical issues to improve.

The study applies SCOR metrics to improve the traditional shipbuilding supply chains performance. The study is limited because the data collected are based on one shipbuilding industry only.

To the author's knowledge, this is the first empirical analysis on the implementation of SCOR metrics to the traditional shipbuilding industry. The analysis to improve the traditional shipbuilding supply chains performance can provide managerial insights to other industries.

Considerable research efforts have been made to investigate the relative importance of firm‐specific vs industry structure factors in relation to performance variation among firms in the past. However, the vast majority of the research comes from the USA and very little is known about results outside of this domain. The aim of this study was to investigate industry and firm factors producing performance differences among Turkish firms. In order to explore the contributions of firm‐level factors and structural characteristics of industries, the study decomposes the relative impact of industry and firm effects on overall performance which includes the performance items such as sales turnover, market share and profitability.

A quantitative, positivistic approach was adopted with respect to the methodological choice for this study. In order to measure the relative impact of industry and firm effects on performance, the questionnaire developed by Galbreath and Galvin was sent to the e‐mail addresses of the general managers or the other executives at the top level as a web‐link with a covering letter. Because unit of analysis is at the firm level, a single informant is used in the study and the questionnaire was mailed to only one executive from each firm. Having collected the data, the effects of firm‐level factors (resources and capabilities) and industry structure on performance variation were analyzed by hierarchical regression method.

A total of 259 firms from different industries were analyzed and the findings revealed that firm‐level resources had a greater effect in explaining performance variation than industry structure in the Turkish business context. The results of this study confirm that in the resource‐based view of the firm, the firms in Turkey “demonstrated a quite developed form of organizational learning” just like the other emerging economies (i.e. Taiwan, Brazil, Poland and South Korea). Within this framework, Turkish firms especially in automotive, textile, food, tourism and construction industries became important players in the global arena.

This study contributes to the strategic management literature, particularly, in terms of providing comparable data from an emerging country, which is significant in verifying resource‐based theory and generalizing results in a global context. The findings also suggest that the firms need to focus on their unique resources rather than try to control and manipulate structural forces in their industries since “the economies today might best be viewed as resource‐based economies”. It should be noted that, in this business era, the key challenge for the managers is the optimal deployment of existing strategic resources in order to make their organizations achieve sustainable competitive advantage and superior firm performance.

This research uses accounting information to supplement abnormal returns evidence in order to gauge the performance of greenmailed firms. Our results support the management entrenchment hypothesis; target firm earnings are poor relative to industry in the years surrounding the greenmail event, and earnings do not significantly improve as would be expected under the shareholders' interest hypothesis. This result holds after adjusting for greenmail premia net of tax effects. Evidence on investment spending suggests firms that pay greenmail differ substantially from their industries, but in a negative direction. In contrast, the industry‐adjusted earnings of non‐greenmail repurchasing firms are significantly greater than the earnings of greenmailed firms. Together, these results are consistent with the contention that greenmailed firms are not managed in shareholders' interests; they underperform their industry, the poor operating results are not attributable to higher investment outlays associated with a long‐term strategic focus, and performance does not improve. This is consistent with observed negative abnormal returns being attributable to both a lost takeover premium and a lost opportunity for improved corporate performance.

The extant literature has challenged the original idea that pure strategy leads to superior performance. This shift has raised the question whether pure strategy is still superior to hybrid strategy? The purpose of this paper is to investigate the strategy-performance relationship in this context and the performance of pure, hybrid, and reactor strategies is compared.

Scoring method is used for identification of strategic types. ANOVA, univariate, and multivariate regression models are applied for empirical analysis using seven-year financial data of 307 Pakistani joint stock firms from 12 industries.

The results show that firms in Pakistan practice hybrid and reactor strategies rather than pure strategies. Overall, defending and analyzing strategies perform better than the prospecting strategies. However, the performance of the strategic types varies among industries and firm size. Strategy and firm size are the better predictors of firm performance.

The proposed methodology can be replicated to identify strategic groups and strategic orientations proposed by typological classifications when longitudinal studies are carried out. The process for identification of pure, hybrid, flexible, consistent, and reactor strategies is a key contribution to the literature.