How store managers can empower their teams to engage in constructive deviance: Theory development through a multiple case study

In this paper, we explore how leaders enable constructive deviance in teams they manage. We report on a qualitative field study of two hierarchical layers of store management in 17 supermarket store teams. We focus on the emergence of constructive deviance – better ways of creating value by departing from common ways of working – and how store leaders can enable this behavior. Our inductive analysis from the multiple case data suggests that store management can enable constructive deviance by combining empowering leadership behaviors with adequate levels of contingent reward and monitoring behaviors. These findings allow us to develop new hypotheses about the linkages between constructive deviance, psychological empowerment, and leadership. We detail implications for store management and we describe several future research opportunities on the concept of constructive deviance, its enablement through empowering leadership, and the relationship between organizational norms and constructive deviance.     

京津冀城市群能源代谢时空特征及优化调控研究

随着中国经济的快速发展,能源消费也快速增长。随着节能减排的压力越来越大,能源的代谢需要根据需求进行更替。论文就京津冀城市群能源代谢时空特征分析并对能量代谢进行优化和调控提出建议。     

Firm performance and corporate finance in New Zealand

Low productivity growth in New Zealand has been a paradox. We study New Zealand firms’ profitability, in terms of profit margin and return on assets (ROA), from the viewpoints of productivity enablers using firm-level panel data. We find that tangible fixed investment and a research and development (R&D) tax incentive are associated with higher profitability performance. In addition, the firm size is found to be a key determinant of profit margin. By contrast, we do not find any evidence that intangible investment can improve the profitability. The global financial crisis has not changed the leverage effect on ROA in New Zealand, while the impact of R&D became more prominent after the crisis.     

Experience matters: The role of academic scientist mobility for industrial innovation

Research Summary: A learning‐by‐hiring approach is used to scrutinize scientists' mobility in relation to the recruiting firms' subsequent innovation output. Our starting point is that among firm hires, individuals with university research experience—hired from universities or firms—can be particularly valuable. However, conflicting institutional logics between academia and industry makes working with academic scientists challenging at times for firms. We suggest two solutions to this difficulty: hiring “ambidextrous” individuals with a mix of experience of university research and working for a technologically advanced firm, and a strong organizational research culture in the recruiting firm reflected by the presence of a scientist on the top management team. We track the mobility of R&D workers empirically using patent and linked employer‐employee data. Managerial Summary: An important way to make organizations more innovative is hiring individual researchers with the right types of skills and experience. We show that individuals with university research experience beyond their final degree are particularly likely to help boost firm‐level innovation output after hiring compared to R&D workers with other types of skills and experience. However, to obtain good returns to innovation from hiring such individuals, firms need a university research–friendly organizational culture when hiring individuals with university research experience, from either firms or academia.     

Is external research assessment associated with convergence or divergence of research quality across universities and disciplines? Evidence from the PBRF process in New Zealand

ABSTRACT

Performance-based research evaluations have been adopted in several countries both to measure research quality in higher education institutions and as a basis for the allocation of funding across institutions. Much attention has been given to evaluating whether such schemes have increased the quality and quantity of research. This paper examines whether the introduction of the New Zealand Performance-Based Research Fund process produced convergence or divergence in measured research quality across universities and disciplines between the 2003 and 2012 assessments. Two convergence measures are obtained. One, referred to as β-convergence, relates to the relationship between changes in average quality and the initial quality level. The second concept, referred to as σ-convergence, relates to the changes in the dispersion in average research quality over time. Average quality scores by discipline and university were obtained from individual researcher data, revealing substantial β- and σ-convergence in research quality over the period. The hypothesis of uniform rates of convergence across almost all universities and disciplines is supported. The results provide insights into the incentives created by performance-based funding schemes.     

Depreciation of Business R&D Capital

We develop a forward-looking profit model to estimate the depreciation rates of business R&D capital. By using U.S. government data between 1987 and 2007, and the newly developed model, we estimate both constant and time-varying industry-specific R&D depreciation rates. The results comprise a set of R&D depreciation rates for major U.S. high-tech industries. They align with the main conclusions from recent studies that the rates are in general higher than the traditionally assumed 15 percent and vary across industries. The relative ranking of the constant R&D depreciation rates among industries is consistent with industry observations and the industry-specific time-varying rates are informative about the dynamics of technological change and the levels of competition across industries. Lastly, we also present a cross-country comparison of the R&D depreciation rates between the U.S. and Japan, and find that the results reflect the relative technological competitiveness in key industries.     

基于灰色关联分析的公路工程造价估算研究

目前分析公路工程造价相似性问题过多依赖于主观经验判断法,缺乏有效合理的定量方法,本文利用灰色关联度分析原理,提出一种分析公路工程造价相似性的定量方法。首先选取相似案例库,采用熵值法求出该案例库的重要属性特征权重值,再计算出相似案例库与待估案例的灰色关联度,最后得出待估案例的公路工程造价估算值,并通过实例证明该估算模型研究的可行性。     

How to optimize the allocation of research resources? An empirical study based on output and substitution elasticities of universities in Chinese provincial level

Although significant progress has been made in China's basic research in recent years, there remains a wide gap between research in China and that from developed countries. How to optimize the allocative efficiency of research resources is of great importance for increasing research output. In this paper, using the fixed effect stochastic frontier model based on the translog production function, we estimate output and substitution elasticities of research and development (R&D) inputs at universities in China's provincial level during 2009–2016. We find that the R&D technical efficiency of China's universities, after a rapid growth, has tended to become relatively stable. Improvements of internationalization degree and exogenous R&D capabilities are conducive to promoting R&D technical efficiency, whereas expenditures from government grants inhibit the promotion of R&D technical efficiency; the effects of R&D capital deepening and internet penetration are not evident. The output elasticity of R&D capital is much higher than that of R&D personnel, suggesting that R&D capital is the main driving force of research output. The substitution elasticity between R&D capital and personnel has experienced a change from substitution to complementary since 2014. To realize sustained growth of research output, we should increase R&D input with positive output elasticity or reduce R&D input with negative output elasticity, making the necessary trade-offs according to the substitution relationship between the two R&D inputs.     

Pitching research: ‘qualitative cousins’ and the ‘extended family’

This study has two related goals – one very specific and one more general. The specific goal is to constructively engage with Lodhia (2017) on the issue of whether and to what extent ‘qualitative cousins’ are well served by Faff's (2015) original pitching research (PR) template. Using this ‘cousins’ focus as a primer, the more general goal is to update the agenda created by Faff (2015) and in so doing, explore the ‘extended family’ of PR work/resources now available.     

Drivers of research impact: evidence from the top three finance journals

We study the characteristics of all published papers in the top three finance journals (JF, JFE and RFS), and how these paper characteristics affect the number of citations in Google Scholar and the Web of Science database. First, we find the characteristics in the universalist perspective remain constant while the characteristics in the constructivist and presentation perspectives increase over time. Second, some characteristics are significantly different between the high-impact and the low-impact papers. Third, paper quality, research method, journal placement and paper age are the most important drivers. Last, different drivers play different roles in different journals.