Enhancing Stock Market Return with New Product Preannouncements: The Role of Information Quality and Innovativeness

To advance development and application of signaling theory in the new product preannouncement literature while seeking to resolve ambiguity regarding the influence of innovativeness on stock market return, the role of information quality is examined. Specifically, this study investigates the effect of innovativeness across low and high levels of information quality. The results, ascertained using event study methodology on a sample of 243 new product preannouncements collected over a nine‐year period, indicate that higher information quality increases the strength of the positive relationship between innovativeness and stock market return. The findings offer managers insight into what role information quality plays in new product preannouncements that can help their firms generate higher stock market return.     

Who Needs CSR? The Impact of Corporate Social Responsibility on National Competitiveness

The link between corporate social responsibility (CSR) and competitiveness has been examined mainly at the business level. The purpose of this paper is to improve conceptual understanding and provide empirical evidence on the link between CSR and competitiveness at the national level. We draw on an eclectic-synthetic framework of international economics, strategic management and CSR literatures to explore conceptually whether and how CSR can impact on the competitiveness of nations, and test our hypotheses empirically with a sample of 19 developed countries over a 6-year period. Our evidence suggests that CSR can make a significant positive contribution to national competitiveness, as measured by national living standards. We also find that countries with a relatively low innovation record can benefit more, as compared to highly innovative countries, by implementing nationwide CSR-based positioning strategies.     

Construction of an open innovation network and its mechanism design for manufacturing enterprises: a resource-based perspective

Innovation is the engine of development for enterprises, and there is an increasing trend to adopt an open innovation strategy. However, how to manage external resources in an open, collaborative and complementary manner, and in a shared environment that will yield the greatest networking effects, it is a challenging task. Because there is no such a satisfactory model for an open innovation strategy that combine operational mechanisms with the management of, external resources. Thhis article tries to fill the gap by adopting a resource-based perspective to construct an overall open innovation (OOI) business model. In this model, external resources are classified as industrial and non-industrial entities, to enable the identification of the interaction methods between manufacturing enterprises and external resources. The management of external resources involved in a Technology Open Innovation (TOI) cycle is given particular attention that includes: 1) the classification of the external resources of a TOI, 2) the general mechanisms extracted to promote qualified resources in and unqualified resources out, and 3) a business model to conceptualize the collaboration between enterprises and external resources. A case study of TOI is also provided to empirically verify its feasibility. This paper contributes to the literature by providing an original operational model and mechanism design for an open innovation strategy that is capable of managing external resources effectively.     

Analysis of the status and trends of applications of advanced manufacturing technologies in Russia

The article has analyzed trends in applying advanced manufacturing technologies in Russia in 2005–2014. The dynamics of technical process structures in the context of applications has been considered. The dynamics of the age structure and the structure of technologies in use in annual terms by the place of acquiring has been assessed. The start-up, availability, and removal balance of technologies has been formed, the effective start-up level, and possible ways to improve the state statistical indicators of innovation development have been determined.     

Forecasting recruitment needs of the Russian economy: Qualitative aspects

The article presents a new mechanism for translating labor market’s needs to the vocational education system that promotes the provision of long-term personnel requirements within the framework of the implementation of competence-based educational programs.     

Minimising emergency response time of ambulances through pre-positioning in Dhaka city,Bangladesh

This study conducted a large-scale survey in Dhaka, Bangladesh; the survey involved 95 major hospitals, more than 3000 emergency room patients, and 2 of the largest ambulance operators. Currently, most ambulances are parked within the vicinity of hospitals and are either dispatched or fetched by the acquaintances of the patient on demand, resulting in lengthy round trips. Reducing the response time of ambulances would certainly improve the emergency service, and pre-positioning of the ambulances could be a solution to reducing the response time. This study used two approaches to address the problem. First, the location-allocation problem was solved to find the optimal number of ambulance locations by maximising the demand coverage. Second, separate location-allocation for the peak and off-peaks, using K-means clustering, was applied to systematically optimise the ambulance positioning in small clusters near demand points. These approaches could substantially improve the existing emergency response time. Distributing ambulances near demand points yielded greater improvements in response time than when the ambulances are stationed near hospitals.