Some predictors of SMJ article impact

Article impact is becoming an increasingly popular metric for assessing a scholar's influence, yet little is known about its properties or the factors that affect it. This study tests whether author, article, and methodological attributes influence the impact of SMJ articles, defined as summed counts of article citations. Findings reveal that authors having fewer, more‐often cited articles tended to have SMJ articles that received the most citations. In addition, whether an article appears in a regular or a special issue is not a stable predictor of its impact. Moreover, empirical articles that test primary data, control for more threats to internal validity, and have higher statistical power tend to receive more citations. Further, an article's long‐term impact oftentimes becomes apparent shortly after its publication. Overall, the findings provide new insights into the determinants of impact and its temporal qualities and help explain some of the differences between high and average impact articles. The findings also underscore the need for transparency between author publication strategies (article volume, impact) and the requirements of his/her institution. Implications for authors, reviewers, editors, and administrative evaluation are offered. Copyright © 2005 John Wiley & Sons, Ltd.     

Scientific methods in finance

Computer software can easily produce many financial models with technical skill, but investigators need to interpret and adapt computer output. Such analysis requires a deep knowledge of scientific fundamentals. We argue that an evidential perspective is more appropriate than a decision framework for model selection. We discuss four necessary conditions for any scientific investigation: observables, interpretables, replicables, and robustness in the context of examples familiar to finance professionals. Carefully planning the design of an experiment is the best way to address many econometric maladies. Furthermore, we emphasize the need for more sensitivity testing and for independent replication of empirical results within the finance profession.     

How advanced is the strategy paradigm? The role of particularism and universalism in shaping research outcomes

As the field of strategy reaches its 25th anniversary, we examine how far the field has progressed during that time. Both management and strategy research have been characterized as being in an early stage of development. We draw on Kuhn's ( 1996 ) paradigm development model, which posits a connection between a field's stage of maturity and research processes and outcomes, to assess the maturity of the strategy field. We conduct two studies. The first is a cross‐discipline comparison of productivity norms for university faculty. The second study examines longitudinal research outcomes for a sample of 945 strategy faculty. Our results indicate that strategy has the attributes of both an early stage and mature field: while overall research norms are low relative to other fields, they are driven far more by merit‐based than non‐merit factors. Copyright © 2005 John Wiley & Sons, Ltd.     

The consequences to analyst involvement in the IPO process: Evidence surrounding the JOBS Act

The JOBS Act allows certain analysts to be more involved in the IPO process, but does not relax restrictions on analyst compensation structure. We find that these analysts initiate coverage that is more optimistically biased, less accurate, and generates smaller stock market reactions. Investors purchasing shares following these initiations lose over 3% of their investment by the firm's subsequent earnings release. By contrast, issuers, analysts, and investment banks appear to benefit from this increased bias, as optimism is more positively associated with proxies for firm visibility and investment banking revenues when analysts are involved in the IPO process.     

Sociology,risk and the environment: a material-semiotic approach

Abstract

Sociology has made significant contributions to the conceptualisation of risk and critique of technical risk analysis. It has, however, unintentionally reinforced the division of labour between the natural/technical and social sciences in risk analysis. This paper argues that the problem with conceptualisations of risk is not a misplaced emphasis on calculation. Rather, it is that we have not adequately dealt with ontological distinctions implicit in both sociological and technical work on risk between material or objective risks and our socially mediated understandings and interpretations of those risks. While acknowledging that risks are simultaneously social and technical, sociologists have not, in practice, provided the conceptual and methodological tools to apprehend risk in a less dualistic manner. This limits our ability both to analyse actors and processes outside the social domain and to explore the recursive relationships between risk calculus, social action and the material outcomes of risk. In response, this paper develops a material-semiotic conceptualisation of risk and provides an assessment of its relevance to more sociologically informed risk governance. It introduces the ideas of co-constitution, emergent entities and enactment as instruments for reconciling the material and social worlds in a sociological study of risk. It further illustrates the application of a material-semiotic approach using these concepts in the nuclear industry. In deconstructing social–material dualisms in the sociology of risk, this paper argues that a material-semiotic conceptualisation of risk enables both technical and social perspectives on risk not only to coexist but to collaborate, widening the scope for interdisciplinary research.     

Optimal pair-trading strategy over long/short/square positions—empirical study

Suzuki [Automatica, 2016, 67, 33–45] solves the optimal, finitely iterative, three-regime switching problem for investing in a mean-reverting asset that follows an Ornstein–Uhlenbeck price process and find explicit solutions. The remarkable feature of this model is that the investor can explicitly take either a long, short or square position and can switch the position, with transaction costs, during the investment period. We run empirical simulations of such multiple-regime switching models. There are very few such attempts in the existing literature because it is difficult to find, first, an explicit solution to the problem and second, appropriate financial assets that follow the artificial stochastic process required by the mathematical model. According to the Monte Carlo simulations of the optimal pair-trading strategy, the mean daily Sharp ratio is more than 2.3, whereas the mean Sharp ratio for the historical simulation of the ‘stub’ pairs (combinations of parent/subsidiary companies) is 0.6886. We believe that the results obtained from performing the empirical simulations are remarkable and consider that the optimal switching strategy of the rigorous mathematical model is applicable to businesses in the real world. For the reference many pseudo-program codes are added, which can help to replicate the optimal trading strategies.     

The Role of Total Factor Productivity Growth in Middle-Income Countries

We examine the importance of total factor productivity (TFP) growth in middle-income countries (MICs) based on cross-country panel data for the period of 1975–2014. We find that TFP growth contributed significantly to a country’s upward transition from middle-income to high-income country group. The TFP growth model reveals that the catch-up effect, human capital, smaller population, weak currency, and research and development growth are significant sources of TFP growth. We do not find a systematic difference in the TFP growth models for MICs. In analyzing the role of factors influencing TFP growth at different income stages, strengthening innovative activities and building innovative capacities are important in overcoming the challenges that MICs face when transitioning to the high-income group. Governments of upper MICs need to initiate reform to motivate innovation by optimizing national R&D systems, and redesigning the educational system to target promoting innovation.     

Creating compassion: How volunteering websites encourage prosocial behaviour

Organisations increasingly use websites to promote prosocial behaviour such as volunteering, philanthropy, and activism. However, these websites often fail to encourage prosocial behaviours effectively. To address the lack of relevant research, we develop, then refine, a design model that identifies the user experience factors that create intention to engage in prosocial behaviour on websites. We test an initial model developed from the literature, by interviewing forty participants, each of whom visited and compared six volunteering websites. Our analysis of the participants' user experience reveals eighteen elements that interplay to create intention to engage in prosocial behaviour. Our refined design model comprises ten website features (interaction, factual, anecdata, external recognition, organisational expression, value suggestion, explanatory content, visual media, written media and, website design), seven perceptions (ease of use, aesthetics, information quality, trust, negative affect, positive affect, and argument strength), and one motivation (egoism). These findings provide novel insights into how to design Information and Communications Technology (ICT) to encourage prosocial behaviour.     

Conducting Mode 2 research in HRM: A phase‐based framework

Recent studies in the field of human resource management (HRM) have highlighted that current research is mostly performed and consumed by academics, and is driven by theoretical and disciplinary concerns rather than practical ones. This debate has invoked the need to produce more Mode 2 research in the HRM field, that is, research driven by practical problems that integrate collaborative efforts by academics and practitioners. Yet, guidelines on how academics and practitioners may implement Mode 2 research remain disjointed and incomplete. Our study provides a phase‐based collaborative‐based framework for the implementation of Mode 2 research in the HRM field, in ways that both academic rigor and practical relevance are achieved. Our framework is informed by a comprehensive review of previous Mode 2 research, within and outside the HRM field. The proposed framework details four macro‐phases: the codevelopment of research questions with practitioners; the design of collaborative spaces and mechanisms; the design and management of double‐loop iterative research processes; and finally the academic and practice legitimization of Mode 2 outcomes. Our framework has the objective to support HRM researchers and practitioners, as well as relevant institutions and gatekeepers in the design, implementation, education, and assessment of Mode 2 research.     

高职院校教师工作压力源研究综述

通过对CNKI数据库中涉及高职院校教师工作压力源文献的统计分析表明：高职院校教师承担的工作压力源多达24项，其中主要包括工作负荷大、学生学习成绩差、教师职业发展受限、学校组织管理科学性不高、工资待遇低、科研论著要求高和社会支持较少等。从实施主体来看，缓解高职院校教师工作压力的对策可分为政府、学校和教师个体三类主体。现有研究在以下领域还需加强：提高对高职教师工作压力源的关注度，把握高职教育的办学特点，重视对缓解工作压力措施的可行性研究。