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The innovation orientation theory has emerged within the literature in the last 40 years particular within the development of other strategic orientations, but the bulk of seminal literature in the area has been developed in the past 11 years. The purpose of this paper is to revisit the concept innovation orientation in the light of recent research.

This paper presents a systematic review of this literature, covering 74 scholarly articles published between 1982 and 2017.

Innovation orientation is a sub-construct positioned within the wider field of innovation and relates to an innovation-based strategic orientation, where orientation is used to describe the overall dominant approach that represents an organisation’s competitive posture and strategic focus. It is a multifaceted construct that includes a range of core common variables innovation culture, competition-based understanding, organisational flexibility and specific capital and knowledge capabilities and is particular relevant for that managers and executives to understand how to manage innovation at the firm level. Literature also reports links between innovation orientation and organisational performance.

On the basis of these analyses, a comprehensive innovation orientation framework is developed including key antecedents and key outcomes in terms of performance enhancement and capabilities development. Suggestions for future research are also presented.

The purpose of this paper was to determine if there is an association between farmers’ socio-economic profile and their perception of climate change and related events (drought). Understanding of farmers’ perceptions of drought and climate change may assist in informing policy decisions and development of appropriate intervention strategies.

Discriminant analysis was used to assess the relative importance of the discriminating characteristics (socio-economic characteristics) through the utilization of the weights of the discriminant function.

Age, education, literacy level, farm type, location and gender were important predictors of how farmers perceive climate change and drought phenomena.

Most of the studies carried out in the study area were largely descriptive and did not find the association between farmer socio-economic profiles and how they perceive climate change and drought events. This paper also uses discriminant analysis which has been rarely used in this type of study.

The purpose of this paper is to find an optimized thin-film amorphous silicon solar cell design by numerically optimizing the light trapping efficiency of a pyramid-structured back-reflector using a frequency-domain finite element Maxwell solver. For this purpose short circuit current densities and absorption spectra within the investigated solar cell model are systematically analyzed. Furthermore, the authors employ a topology simulation method to accurately predict the material layer interfaces within the investigated solar cell model. The method simulates the chemical vapor deposition (CVD) process that is typically used to fabricate thin-film solar cells by combining a ballistic transport and reaction model (BTRM) with a level-set method in an iterative approach. Predicted solar cell models are far more realistic compared to solar cell models created assuming conformal material growth. The purpose of the topology simulation method is to increase the accuracy of thin-film solar cell models in order to facilitate highly accurate simulation results in solar cell design optimizations.

The authors perform numeric optimizations using a frequency domain finite element Maxwell solver. Topology simulations are carried out using a BTRM combined with a level-set method in an iterative fashion.

The simulation results reveal that the employed pyramid structured back-reflectors effectively increase the light path in the absorber mainly by exciting photonic waveguide modes. In using the optimization approach, the authors have identified solar cell models with cell periodicities around 480 nm and pyramid base widths around 450 nm to yield the highest short circuit current densities. Compared to equivalent solar cell models with flat back-reflectors, computed short circuit current densities are significantly increased. Furthermore, the paper finds that the solar cell models computed using the topology simulation approach represent a far more realistic approximation to a real solar cell stack compared to solar cell models computed by a conformal material growth assumption.

So far in the topology simulation approach the authors assume CVD as the material deposition process for all material layers. However, during the fabrication process sputtering (i.e. physical vapor deposition) will be employed for the Al:ZnO and ITO layers. In the framework of this ongoing research project the authors will extend the topology simulation approach to take the different material deposition processes into account. The differences in predicted material interfaces will presumably be only minor compared to the results shown here and certainly be insignificant relative to the differences the authors observe for solar cell models computed assuming conformal material growth.

The authors systematically investigate and optimize the light trapping efficiency of a pyramid nano-structured back-reflector using rigorous electromagnetic field computations with a 3D finite element Maxwell solver. To the authors’ knowledge such an investigation has not been carried out yet in the solar cell research literature. The topology simulation approach (to the best of the authors’ knowledge) has previously not been applied to the modelling of solar cells. Typically a conformal layer growth assumption is used instead.

Anti‐corruption Agencies (ACAs) have been seen by donors and commentators as a visible and discrete institutional response to a country's commitment to anti‐corruption work. A number of reports have commented adversely on the general effectiveness and impact of ACAs in practice. Much of the concern relates to the environment in which the ACA works, but over which they have limited control, but often fails to address an ACA as an organisation something over which an ACA does exercise much more control. The purpose of this article is to argue that there are common organisational issues that face any new and small institutions in both public and private sectors, that may assist an ACA's development.

The article reviews the extensive literature to assess what appear to be the key issues facing such organisations in the private sector usually termed small to medium‐sized enterprises (SMEs) – and discusses whether their experiences offer any applicability to an ACA's organisational strategy and development.

The article argues that a number of organisational issues are generic and ACAs, and those who support and fund them, should draw on the lessons from the wider private sector management and organisational development literature on SMEs for ACAs.

The article provides a framework for ACAs to consider organisational reform and to guide donor support.

ACAs are rarely reviewed as an organisation. Indeed, much of the criticism identified in this article points to this as a significant issue, for which private sector approaches may provide guidance for organisational reform.

If we are to better understand what it means to think “sustainably,” the entrepreneurship literature suggests that entrepreneurial cognition offers us two powerful tools. Human cognition operates with two nearly parallel systems for information processing, intentional and automatic. Entrepreneurial cognition has long focused on how entrepreneurial thinking and action are inherently intentional. Thus, intentions-based approaches are needed to understand how to encourage the identification of actionable sustainable opportunities. But first, however, we need to address key elements of our automatic processing, anchored on deep assumptions and beliefs. In short, if sustainable entrepreneurship is about addressing sustainable opportunities, then before we can take advantage of research into entrepreneurial intentions, we need a better understanding of how we enact our deep mental models of constructs such as “sustainable.”

The purpose of this study is to identify a psychological profile for public accounting firm partners who are likely to place the partnership and client shareholder at risk. Proprietary data from an executive counseling firm provided a unique opportunity to compare two groups of partners: those identified by their senior partners as placing the firm at risk (n=31) and those not so identified (n=64). The groups were compared using psychological measures, lifestyle measures, personal measures, and work history variables. Results found no significant measurable difference between the audit partners who were identified as posing a risk and those not so identified. This suggests that specific factors cannot lead a partner to engage in risky behaviors, but rather several, in combination, may be necessary. Implications for research include learning more about concepts such as resistance to temptation, motivation, and rationalization. Implications for practice are to focus on structuring business practices to provide early warning signs and minimize opportunities to engage in risky behavior. Continued and increased diligence in the client screening and client continuation and review process remain essential for best practices.

Geology itself is a descriptive science (i.e., the description of landforms, rocks, etc.). To apply these observations geology depends heavily on the other sciences for data, theories, etc. Thus the geologist is very much dependent on works in chemistry, physics and biology (depending on his particular area of interest) in addition to those discussed here, and the reader is referred to the surveys in those fields.