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1 – 10 of 675Superstars, or prominent managers who are responsible for strategic external relationships, are a resource for domestic firms and multinational corporations (MNCs). Theory…
Abstract
Superstars, or prominent managers who are responsible for strategic external relationships, are a resource for domestic firms and multinational corporations (MNCs). Theory suggests that MNCs employ superstars to manage organizational legitimacy and offer greater compensation and promotion potential. Domestic firms may employ superstars to enhance their organizational identity and offer them status and a supportive organizational environment. Empirical analysis of 411 advertising agencies in the U.S. and 239 superstars in advertising suggests that domestic agencies have a slight but statistically significant advantage in attracting and retaining superstars relative to MNCs. The strategic implications for domestic firms and MNCs are discussed.
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Christoph Dörrenbächer, Matthias Tomenendal, Anna-Luisa Grebe and Julia Thielemann
This chapter critically discusses the many positive aspects that are ascribed to gazelle firms by exploring the external effects and dark sides of high firm growth. On the…
Abstract
This chapter critically discusses the many positive aspects that are ascribed to gazelle firms by exploring the external effects and dark sides of high firm growth. On the background of the more general debate on purpose versus profit as a firm’s mission, the chapter theoretically elaborates on the dichotomy between quantitative and qualitative growth of gazelles. This is followed by a case-based illustration and exploration as to how quantitative and qualitative growth interrelates in gazelles and what are impediments for high growth that is purpose driven. The chapter closes with a discussion of the Janus-faced nature of gazelles and how their corporate citizenship can be enhanced.
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The author investigates the effects of human capital on labor income share in the 15 sectors of the European Union (EU)-13 countries and the United Kingdom (UK) over the period…
Abstract
Purpose
The author investigates the effects of human capital on labor income share in the 15 sectors of the European Union (EU)-13 countries and the United Kingdom (UK) over the period 2008–2015.
Design/methodology/approach
The author employs pooled ordinary least squares (OLS) estimation with panel data, using the EU KLEMS database.
Findings
The results show that when education level increases, labor income share increases and gender-based labor income share differentials decrease. Return to education is higher in qualitative sectors in contrast with the other sectors. Moreover, there are gender-based labor income share differentials at the sectoral level. These differentials are higher in nonqualitative sectors, while they are relatively lower in qualitative sectors.
Research limitations/implications
The biggest limitation of the study is that the data range cannot be expanded because of the database. The author is of opinion that the empirical findings will guide to policy makers in terms of wage setting.
Originality/value
The expected contribution of this study to the literature is to investigate the effect of human capital on labor income share at the sectoral level for the EU-13 countries and the UK. As far as the author knows, there is no study which investigates this topic at the sectoral level such a comprehensive, in the literature.
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Ahmed Seleim, Ahmed Ashour and Nick Bontis
The paper seeks to test empirically a variety of hypotheses related to human capital and organizational performance within software companies in Egypt.
Abstract
Purpose
The paper seeks to test empirically a variety of hypotheses related to human capital and organizational performance within software companies in Egypt.
Design/methodology/approach
A valid research instrument was utilized to conduct a survey of 38 software companies who are representative of the 107 members of the Software Industry Chamber of Egypt. A correlation analysis and stepwise regression were conducted to ascertain the validity of the hypotheses.
Findings
Statistical support was found for six of the nine hypotheses tested.
Research limitations/implications
One of the limitations of this study is that human capital metrics were based on CEO self‐reported scores. Thus, the ability to generalize is limited to this context.
Practical implications
Of all the human capital metrics collected, the number of superstar developers seems to be the most critical variable in predicting export intensity. Superstar developers are those individuals whose productivity equals four times that of the other developers and twice that of the star developers.
Originality/value
This paper tests empirically the relationship between human capital and organization performance in the Egyptian software industry context and provides support for the recruitment and development of superstar developers.
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Stoyan Tanev and Tony Bailetti
The paper seeks to examine the relationship between the number of competitive intelligence (CI) information topics used by small Canadian firms and their innovation performance…
Abstract
Purpose
The paper seeks to examine the relationship between the number of competitive intelligence (CI) information topics used by small Canadian firms and their innovation performance, measured by the number of newly launched products, processes and services.
Design/methodology/approach
A CI information framework was applied including 42 information topics classified into four groups, i.e. industry, competitors, customers and firm. The 45 firms in the sample were classified into three types, i.e. new technology‐based, specialized supplier, and service firms. Statistical analysis was used to analyze the relationship between CI information and innovation.
Findings
Analysis of the results suggested that there was a clear relationship between the CI information firms used and their innovation performance, specialized suppliers firms were the most efficient users of CI information, information about industry and competitors was the least used but highly relevant for firms' innovation performance, and information about customers was found to be highly used and relevant for the innovation of all firms.
Practical implications
The methodological validation of the CI information framework could help executive managers in the development of analytical tools enhancing the role of CI for new product/process/service launch.
Originality/value
The results demonstrate the need for using appropriate firm classifications and in depth statistical analysis when studying the relationship between CI information and innovation.
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The purpose of this paper is to analyze variations in the degree of persistence of profitability across diverse economic sectors and industry groups over the time period of…
Abstract
Purpose
The purpose of this paper is to analyze variations in the degree of persistence of profitability across diverse economic sectors and industry groups over the time period of 1990-2014 for a sample of top publically listed firms belonging to a selected set of developed and developing economies.
Design/methodology/approach
Degree of profit persistence has been estimated using Mueller’s (1990) autoregressive methodology. Firms were classified into different economic sectors and industry groups as per the Global Industry Classification Standard (GICS). The examination of inter-sectoral variations in profit persistence has been performed by comparing mean values of estimated short-run and long-run profit persistence parameter for all firms and between firms belonging to the developed and developing countries, respectively.
Findings
Firms in consumer staples, consumer discretionary and health care enjoy persistent above the norm returns, unlike firms in traditional industries, utilities and energy sectors, which are characterized by low persistence and below the norm returns. A high degree of profit persistence is observed in health care and idea- and technology-intensive sector in the developed countries; however, in the developing countries, profits persist higher in consumer discretionary and capital-intensive telecommunication services sectors.
Originality/value
The study provides a holistic examination of inter-sectoral variations in profit persistence of top firms in developed and developing economies using a uniform methodology and data set. It can serve as an aid to the competition commissions and anti-trust regulatory authorities to formulate policies for curtailing anti-competitive activities in certain sectors.
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Roxana Mihet and Thomas Philippon
The authors analyze the expansion of Big Data and artificial intelligence technologies from the perspective of economic theory. The authors argue that these technologies can be…
Abstract
The authors analyze the expansion of Big Data and artificial intelligence technologies from the perspective of economic theory. The authors argue that these technologies can be viewed from three perspectives: (1) as an intangible asset; (2) as a search and matching technology; and (3) as a forecasting technology. These points of view shed light on how new technologies are likely to affect matching between firms and consumers, productivity growth, price discrimination, competition, inequality among firms, and inequality among workers.
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Matthias Tomenendal, Florian Becker-Ritterspach and Christoph Dörrenbächer
The chapter provides an integrated analytical account of the contributions of the volume. Next to the results from a comprehensive literature review on gazelle growth factors, two…
Abstract
The chapter provides an integrated analytical account of the contributions of the volume. Next to the results from a comprehensive literature review on gazelle growth factors, two further content blocks of the volume are summarized, one on gazelles in Germany and one on specific under-researched topics, that is, gazelles’ internationalization and gazelles’ corporate citizenship. The chapter highlights main findings and avenues for further research, including a short discussion on the use of the term “gazelle”.
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Edward P. Lazear, Kathryn Shaw, Grant Hayes and James Jedras
Wages have been spreading out across workers over time – or in other words, the 90th/50th wage ratio has risen over time. A key question is, has the productivity distribution also…
Abstract
Wages have been spreading out across workers over time – or in other words, the 90th/50th wage ratio has risen over time. A key question is, has the productivity distribution also spread out across worker skill levels over time? Using our calculations of productivity by skill level for the United States, we show that the distributions of both wages and productivity have spread out over time, as the right tail lengthens for both. We add Organization for Economic Co-Operation and Development (OECD) countries, showing that the wage–productivity correlation exists, such that gains in aggregate productivity, or GDP per person, have resulted in higher wages for workers at the top and bottom of the wage distribution. However, across countries, those workers in the upper-income ranks have seen their wages rise the most over time. The most likely international factor explaining these wage increases is the skill-biased technological change of the digital revolution. The new artificial intelligence (AI) revolution that has just begun seems to be having similar skill-biased effects on wages. But this current AI, called “supervised learning,” is relatively similar to past technological change. The AI of the distant future will be “unsupervised learning,” and it could eventually have an effect on the jobs of the most highly skilled.
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