Attitude and consciousness of Japanese men and women towards career commitment and continuity: the role of expected change in HRM policies

A survey was conducted on 302 working men and women in Japanese private firms and local government organization anrl 51 non-working Japanese women to examine the attitude and consciousness towards career commitment and continuity if organizations adopt some policy formulations in more relaxed ways to accommodate, particularly, Japanese women in the workplace. Many studies have well documented that women’s passive attitude towards career commitment and continuity, as compared to that of men, is the outcome of discriminatory HRM policies and practices in the internal labour market. The ANOVA results show that the attitude on the policy relating to work–home harmonization differs significantly between men and women. As compared to working women, non-working women would have a more positive attitude to career commitment and continuity if a work-home harmonization policy wcre adopted. The ANOVA results also reveal that men and women have shown an almost similar attitude to pay structure and, thus, the integrated corporate pay structure can help in developing women’s attitude and consciousness towards career commitment and continuity, but women cannot share equally with their male counterparts as regards the policy of career development; rather, they are demanding job security, distributive justice and career counselling in the workplace.     

Equity and efficiency considerations in area versus individual yield insurance

Equity and efficiency considerations in area versus individual crop insurance are investigated for 609 Ontario cash crop farms. Results show that the relationship between individual and area premiums and risk reduction are explained by systematic and non-systematic yield risk relationships. On average, area insurance premiums are much lower than individual yield insurance premiums, and in terms of efficiency in risk-reduction individual plans are superior to area plans. As it turns out arguments of asymmetric information which has lead some researchers to investigate area vs. individual yield insurance is not totally resolved. Inequities in the benefits of area plans across farmers are not equitably distributed, favouring high-risk producers. Adverse selection causes instability in the pooled contracts which will ultimately cause area insurance plans to fail.     

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.     

The public R&D and productivity growth in Australia's broadacre agriculture: is there a link?

This paper investigates the dynamic relationships between research and development (R&D) expenditure and productivity growth in Australian broadacre agriculture using aggregate time series data for the period 1953 to 2009. The results show a cointegrating relationship between R&D and productivity growth and a unidirectional causality from R&D to TFP (total factor productivity) growth in Australian broadacre agriculture. Using the dynamic properties of the model, data from beyond the sample period are analysed by employing the variance decomposition and the impulse response function. The findings reveal that R&D can be readily linked to the variation in productivity growth beyond the sample period. Furthermore, the forecasting results indicate that a significant out‐of‐sample relationship exists between public R&D and productivity in broadacre agriculture.     

Role of TFP in China's Growth*

This paper uses the dual approach to growth accounting to examine the role of total factor productivity (TFP) in recent Chinese growth. Most previous growth accounting studies on China have followed the primal approach, which depends heavily on the national income accounts. Unfortunately, despite efforts to rectify them, Chinese national income accounts data continue to have problems that affect primal approach growth accounting results. The dual approach, in contrast, allows independent price information to play a role. Recent research has focused on the following two questions: (i) How significant has TFP's role been in post‐reform Chinese growth? (ii) Has TFP growth rate slowed down in more recent years? This paper finds that: (i) the TFP growth rate for mainland China computed using the dual approach also proves high; and (ii) there has been some slowdown in TFP growth rate in recent years.     

Modeling the effects of including/excluding attributes in choice experiments on systematic and random components

This paper examines the impact of attribute presence/absence in choice experiments using covariance heterogeneity models and random coefficient models. Results show that attribute presence/absence impacts both mean utility (systematic components) and choice variability (random components). Biased mean effects can occur by not accounting for choice variability. Further, even if one accounts for choice variability, attribute effects can differ because of attribute presence/absence. Managers who use choice experiments to study product changes or new variants should be cautious about excluding potentially essential attributes. Although including more relevant attributes increases choice variability, it also reduces bias.