Research Linking Corporate Social Capital and Performance in the IT Global Marketplace

Author(s):  
Laurence Lock Lee

In this chapter a brief review of the IT industry networks is conducted followed by sections on a suite of novel research techniques that are introduced for analysing the networked market place. The techniques rely on identifying market place alliances, whether they are contractual or market development based. Ultimately they do rely on social network representations applied at the firm level and maximising Corporate Social Capital (SC) for market place actors. In this way they are very different, but complementary to traditional market research techniques. A set of research questions and hypotheses are developed around the concept of Corporate SC.

2017 ◽  
Vol 5 (2) ◽  
pp. 196-205 ◽  
Author(s):  
Kylie Goodell King

Purpose Tasks in today’s global marketplace are becoming increasingly reliant on the work of teams. As creativity and innovation are frequently required for organizational success, work teams are becoming more and more prominent within all types of organizations. With the rise of organizational teams, the purpose of this paper is to develop appropriate tools to measure how well these teams work together and how well they perform required tasks. Design/methodology/approach This paper outlines a measure of teamwork, a transactive memory system (TMS), and proposes new methods for using TMSs to measure team structures, processes, and performance. These new methods include dispersion models and social network analysis. Findings Dispersion models and social network analysis hold promise for the future evaluation of TMS and other team constructs. Originality/value This paper provides a summary of two novel approaches to the measurement of TMS and other team constructs.


2013 ◽  
Vol 4 (1) ◽  
pp. 113-127
Author(s):  
Ildikó Dén-Nagy

The concepts of social networks, social capital and trust and their impact on the economic arrangements and performance of nascent capitalist economies have raised many research questions in the post-socialist countries of Europe. The following paper is designed to summarize the directions and conclusions of the empirical research which has been carried out in connection with trust and social capital in Hungary between 1995 and 2012. To maintain a clear and narrow focus, this literature review pays attention only to those papers that undertake analysis in the field of economy. This includes such research that is designed to investigate the trust and social capital-related aspects of economic transactions, economic behaviors and attitudes. Correspondingly, papers that discuss issues like trust in democratic institutions (e.g. Boda, Medve-Bálint 2012), the effects of social capital on social inequality (e.g. Lengyel, Bartha, 2000; Bartus, 2001), on efficiency in education (e.g. Fényes, 2008), on wage income (e.g. Sik, 2004; Hermann, Kopasz, 2011) or trust and social capital from the perspective of immigration (e.g. Gödri, 2010; Göncz, Lengyel, Tóth, 2012) are omitted intentionally. I also leave out of consideration the wide range of literature which focuses on corruption (e.g. a recent social capital-related paper by Szántó, Tóth, Varga, 2012). Although the phenomenon of corruption is closely related to the question of trust, relationship networks and social capital and has been intensively researched in post-socialist countries, including Hungary, research about corruption is a distinct literature within economic sociology which is too broad to be discussed substantively in the frame of this paper.


Author(s):  
Falco J. Bargagli-Stoffi ◽  
Jan Niederreiter ◽  
Massimo Riccaboni

AbstractThanks to the increasing availability of granular, yet high-dimensional, firm level data, machine learning (ML) algorithms have been successfully applied to address multiple research questions related to firm dynamics. Especially supervised learning (SL), the branch of ML dealing with the prediction of labelled outcomes, has been used to better predict firms’ performance. In this chapter, we will illustrate a series of SL approaches to be used for prediction tasks, relevant at different stages of the company life cycle. The stages we will focus on are (1) startup and innovation, (2) growth and performance of companies, and (3) firms’ exit from the market. First, we review SL implementations to predict successful startups and R&D projects. Next, we describe how SL tools can be used to analyze company growth and performance. Finally, we review SL applications to better forecast financial distress and company failure. In the concluding section, we extend the discussion of SL methods in the light of targeted policies, result interpretability, and causality.


2011 ◽  
Vol 3 (1) ◽  
pp. 1-13
Author(s):  
Agustin Ekadjaja ◽  
Vony Vony

This study aims to determine the effect of CSR Index to the value and performance of manufacturing companies listed on the Indonesia Stock Exchange (BEI), and to find out how much the ability of the variable CSR Index in explaining the variable Tobin’s Q, ROA, and ROE manufacturing companies listed on Indonesia Stock Exchange (BEI). This study uses data sampled during the 75 years from 2007 to 2009. A statistical method used to test the research hypothesis is a simple linear regression model. Therefore, before performing hypothesis testing carried out tests of classical assumptions. The results of this study prove that, CSR Index has a significant effect on Tobin’s Q and ROE with 95% confidence level. However, CSR Index has no significant influence on ROA with 95% confidence level. Key words : CSR Index, Variabel Tobin’s Q, ROA, ROE


Author(s):  
M. John Foster

AbstractIn essence firms or companies are usually thought to exist to make products for or provide services of some sort to third parties, other companies or individuals. The philosophical question which naturally arises then is ‘to the benefit of whom should a firm’s activities be aimed?’ Possible answers include the owners of the firm, the firm’s employees or wider society, the firm’s local community or their host nation. It is because of firms’ location within a wider society that the issue of corporate social responsibility arises. The issue is do they contribute in a positive way to the fabric of society. In this paper we conduct an exploratory investigation whose research questions, broadly, are whether there is public evidence of corporate social responsibility activity by firms listed in the UK and to what extent, if any, such activities may amount to genuinely socially responsible management by the firms. We examined the most up to date annual reports of a split sample of 36 firms listed in the FTSE 350. The short answers to the two research questions above are: to some degree and no by some margin, based on data from the sample firms.


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