Responsibility of the University in Employability: Development and validation of a measurement scale across five studies

This paper develops and validates, at a confirmatory level, a second‐order scale to measure Responsibility of the University in Employability (RUE). First, the literature on the components of RUE is explored and a formative conceptual model is proposed to underpin its measurement using extant research in the field of organisational responsibility and employability. At the empirical level, the second‐order RUE model considers the reputation of the university, the teaching staff, and the matching activities with employers as components of RUE. This model is based on five empirical studies. The first is a small‐sample study based on the opinions of experts (n = 5) and the rest are based on representative samples of university students (n = 816, n = 1,082, n = 1,088, and n = 1,203). A very good fit between model and data were revealed (CFI = 0.975; RMSEA = 0.039; standardised X² = 2.676). The results indicate that matching activities with employers and teaching staff generate more RUE than university reputation. Guidelines are offered for managing the responsibility of the university in employability.     

Trust Formation in University–Industry Collaborations in the U.S. Biotechnology Industry: IP Policies,Shared Governance,and Champions*,†

Haggling over rights to potential inventions can be a major roadblock to successful university–industry (UI) collaborations. Yet such collaborations are critical for innovation in science‐based industries. This study examines the roles of universities' intellectual property (IP) policies and of shared governance for trust formation between academe and industry. The study also examines how UI champions moderate this process and how trust between university and industry partners affects UI collaboration outcomes. The analysis of survey data of 105 recent UI collaborations in the U.S. biotechnology industry indicates that the flexibility and transparency of university IP policies and shared governance by UI partners are both positively related to trust formation. The activities of UI champions amplify the positive effects of shared governance and at the same time reduce the importance of university IP policies for trust formation between UI partners. The amount of trust between partners is positively related to knowledge transfer and innovation performance. The findings suggest that despite widely reported industry concerns over the control of IP, UI research partners can develop a trustful environment and thereby plant the seeds for a successful collaboration. In order to enhance trust, companies should not only consider university IP policies, but also need to actively engage in shared governance with university partners. UI collaboration champions can help shift the attention of company managers from formal rules set by university IP policies toward shared project planning, coordination, and implementation with university partners.     

Industrial leadership in science-based industries: A co-evolution model

In this paper, we seek to analyse the role of national university systems in combination with technological and market factors as sources of industrial leadership and industry growth in science-based industries. We propose a model in which national university systems and their respective national firms and industries are considered as co-evolving. National firms compete on a worldwide level and they rely on the progress of science and the availability of scientists to innovate. As the global industry develops, firms try to mold their national university systems, but they achieve different degrees of success. Apart from highlighting the role of institutional responsiveness as a source of competitive advantage, our model points to the access to essential inputs for production, the technological and strategic characteristics of firms, the international diffusion of knowledge, and the initial distribution of market demand as key sources of leadership and industry growth. The international mobility of scientists seems to foster the emergence of industrial leadership shifts.     

Adding critical accounting voices to migration studies

The field of migration study is continually evolving and frequently controversial, as diverse people cross the globe and as social and economic transformations prevail. Although scholars in many disciplines have actively contributed to migration research, accounting scholars have been less actively engaged, despite migration's use of concepts so closely aligned with accounting: costs, benefits, risk, and control. This paper considers how accounting researchers may contribute to the study of migration, highlighting the potential for critical researchers to re-define terrains of discourse.Migration theories are introduced, illustrating the complexities and interconnectedness of the role of globalisation, poverty, state functioning, and the social sciences. We integrate previous research of accounting, revealing the discipline as part of the language and neoliberal agenda imbued in migration issues, and its participation in co-creating precarious boundaries and myopic concepts defining the debates. We provide a case analysis, specifically illustrating accounting's calculative practices and rhetoric as limiting and obscuring social issues in migration, providing yet another instance of accounting's participation in social controversies.The rhetoric of accounting as merely a technique and the prevailing view of its objectivity are disputed as we reveal accounting's role in creating a simplifying reality, ignoring the complex interdependencies and powerful forces at play in migration arenas. Although much work is to be done in the accounting field to illuminate its role regarding migration issues, we are optimistic that critical researchers can provide expanded ways of thinking and a contribution to the deliberations. The work's originality is contained in its unique framing of migration discourse, revealing the skewed and shadowy assumptions of its traditional discourse, and examining how critical research expands possibilities for promoting social justice in the migration landscape.     

Analysis of Information Content in U.S. and Japanese Magazine Advertising

Abstract

The content of Japanese versus U.S. magazine advertisements is assessed to determine relative levels of information content based on the type of magazine, the kind of information, the product represented in the advertisement and the size of the advertisement. It was found that Japanese magazine advertisements were generally more informative than U.S. ads, although the emphasis on specific content varies cross-culturally.     

Human resources roles: ideal versus practiced: a cross-country comparison among organizations in Asia

Human capital and its associated principles of talent management are sound platforms on which to leverage a company's fundamental resources to attain corporate goals. Unfortunately, the importance of human resource management (HRM) within organizations is often overlooked. The fundamental problem observed by many researchers in the HRM field is the discrepancy between what are considered ideal HRM roles and what is actually practiced by HRM managers. To understand the current human resource (HR) philosophy and the specific roles practiced by HR professionals among Asian companies, a survey was conducted with 377 HR managers in four Asian countries – India, Indonesia, Malaysia, and the Philippines. Our research has shown and, hence, reiterated the sense that there are considerable differences between the current HR functions as practiced and the ideal HR functions, as indicated by the survey respondents. In addition, the survey results have identified significant differences among countries, especially in areas such as strategic practices and the roles of HR managers. Differences between practice and ideal in HR administration are also observed at different levels of management. It was also observed that differences among countries exist depending on the type of organization, the size of the organization, and whether the HR managers work for HR departments or for other functional departments.     

Evolution of organizational governance and human resource management in China's township and village enterprises

This study reviews the evolution of organizational governance and human resource management practices in China's non-state sector, with a focus on China's township and village enterprises (TVEs). The empirical investigation on twenty TVEs located in Southern China provided the evidence that, as enterprises move towards a more formal corporate governance structure with clearer property rights relations, their human resource management practices tend to become more marketized, in order to meet the challenge of increased competition in the highly dynamic, transitional Chinese economy.     

Extreme returns and intensity of trading

Asymmetric information models of market microstructure claim that variables such as trading intensity are proxies for latent information on the value of financial assets. We consider the interval‐valued time series (ITS) of low/high returns and explore the relationship between these extreme returns and the intensity of trading. We assume that the returns (or prices) are generated by a latent process with some unknown conditional density. At each period of time, from this density, we have some random draws (trades) and the lowest and highest returns are the realized extreme observations of the latent process over the sample of draws. In this context, we propose a semiparametric model of extreme returns that exploits the results provided by extreme value theory. If properly centered and standardized extremes have well‐defined limiting distributions, the conditional mean of extreme returns is a nonlinear function of the conditional moments of the latent process and of the conditional intensity of the process that governs the number of draws. We implement a two‐step estimation procedure. First, we estimate parametrically the regressors that will enter into the nonlinear function, and in a second step we estimate nonparametrically the conditional mean of extreme returns as a function of the generated regressors. Unlike current models for ITS, the proposed semiparametric model is robust to misspecification of the conditional density of the latent process. We fit several nonlinear and linear models to the 5‐minute and 1‐minute low/high returns to seven major banks and technology stocks, and find that the nonlinear specification is superior to the current linear models and that the conditional volatility of the latent process and the conditional intensity of the trading process are major drivers of the dynamics of extreme returns.