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Much of the literature identifies the positive nature of role models in career progression. The purpose of this paper is to take the contrary perspective and explore whether role-modelling behaviour of senior female managers can be unintentionally interpreted as negative, with an associated negative impact on career progression decisions of female managers.

To address this issue the authors took a grounded theory approach and 30 in-depth interviews were conducted with female middle-level managers in a wide range of Irish organisations.

The results of the interviews illustrate that role-modelling behaviour has the potential to negatively, rather than positively affect female career progression choices.

The unintended consequences of role-modelling behaviour of senior female managers highlights both the concept of negative role-modelling behaviour and identifies its impact on female managerial career progression.

This paper offers new insights into the construction of the global role model by introducing two new elements – the realistic role model and the departed role model.

The purpose of this paper is to develop a quantitative risk assessment method for agricultural products cold chain logistics to assess the condition of the fresh agricultural products cold chain process objectively and accurately.

A risk assessment index system of agricultural products cold chain logistics is designed on the basis of the risk identification for the process of agricultural products cold chain logistics. This paper first uses catastrophe progression method and a new maximum deviation method to build an improved catastrophe progression assessment model for agricultural products cold chain logistics. In order to verify the reliability and validity of the model, two representative enterprises are selected as the case in the study.

The results in the empirical research indicate strong support for the assessment model and coincide with the reality. The risk assessment index system can also reflect the key risk factors from agricultural products cold chain logistics scientifically. In addition, the improved catastrophe progression assessment method proposed in this paper can be scientific and reasonable to predict risk.

This paper contributes to provide a new risk assessment model for agricultural products cold chain logistics. The new model overcomes the limitation of subjective empowerment and it increases the objectivity and scientificity in the process of cold chain logistics risk assessment. This paper also shows that practitioners involved in the field of products cold chain logistics can manage the potential risk by a set of scientific methods for assessing the risk before the accident.

The paper provides a practical guideline to practitioners, especially for cold chain logistics managers, relevant management departments, and cold chain logistics management consultants. It is proved that the new risk assessment method and the risk assessment index system of agricultural products cold chain logistics can help them assess the risk scientifically and reasonably.

Although the calculation is simple, the new model can overcome the limitation of subjective empowerment scientifically and reasonably, and thus has important practical value.

Employability and its components have received a lot of attention from scholars and practitioners. However, little is known about the interrelations between these different components of employability and how employees progress within their employability trajectories. Therefore, a model of such progression was constructed and tested using Van der Heijde and Van der Heijden’s (2006) employability measurement instrument. The paper aims to discuss these issues.

The propositions were tested empirically by applying a Rasch model using a sample of 167 Austrian business consultants.

The findings lend some support for the hypothesized progression model of employability. Specifically, the items measuring occupational expertise are largely located in the group of items that were relatively likely to be endorsed. Also, the items of personal flexibility and anticipation and optimization were, in general, less likely to be endorsed than the items of occupational expertise.

The major thrust of this paper is a theoretical one. However, the empirical demonstration tentatively supports the proposed model, which implies that further, more robust longitudinal research in this direction may be a worthwhile endeavor.

By understanding which competences are important at which stage or across which stages of an individual’s career, career advisors and human resource management professionals can give more targeted advice concerning career management practices.

The present study contributes to the literature by investigating how employees may make progress within their employability trajectories.

The development of web information systems (WISs) requires modelling on various layers of abstraction. Based on an abstract abstraction layer model (ALM) the work in this article approaches the modelling on the highest layer dealing with strategic modelling. Strategic modelling addresses a very general characterisation of WISs in terms of its content, functionality, context, usage and presentation, and pragmatic guidelines for achieving these. The article discusses branding, utilisation space modelling, utilisation portfolio modelling and atmosphere modelling as the major parts of a strategic model. Furthermore, techniques based on linguistic analysis, communication analysis and metaphors make up the informal means to approach WISs in strategic terms.

Patient treatment trajectory data are used to predict the outcome of the treatment to particular disease that has been carried out in the research. In order to determine the evolving disease on the patient and changes in the health due to treatment has not considered existing methodologies. Hence deep learning models to trajectory data mining can be employed to identify disease prediction with high accuracy and less computation cost.

Multifocus deep neural network classifiers has been utilized to detect the novel disease class and comorbidity class to the changes in the genome pattern of the patient trajectory data can be identified on the layers of the architecture. Classifier is employed to learn extracted feature set with activation and weight function and then merged on many aspects to classify the undetermined sequence of diseases as a new variant. The performance of disease progression learning progress utilizes the precision of the constituent classifiers, which usually has larger generalization benefits than those optimized classifiers.

Deep learning architecture uses weight function, bias function on input layers and max pooling. Outcome of the input layer has applied to hidden layer to generate the multifocus characteristics of the disease, and multifocus characterized disease is processed in activation function using ReLu function along hyper parameter tuning which produces the effective outcome in the output layer of a fully connected network. Experimental results have proved using cross validation that proposed model outperforms methodologies in terms of computation time and accuracy.

Proposed evolving classifier represented as a robust architecture on using objective function to map the data sequence into a class distribution of the evolving disease class to the patient trajectory. Then, the generative output layer of the proposed model produces the progression outcome of the disease of the particular patient trajectory. The model tries to produce the accurate prognosis outcomes by employing data conditional probability function. The originality of the work defines 70% and comparisons of the previous methods the method of values are accurate and increased analysis of the predictions.

The purpose of this paper is to examine the impact of person-organization fit and leader-member exchange (LMX) on the withdrawal behaviors of Thai employees.

Self-report questionnaires were received from 300 employees working in one of the largest Thai public universities. Exploratory factor analysis was conducted, followed by confirmatory factor analysis. Structural equation model was then implemented to test the relationships among all variables.

The results showed negative relationships between person-organization fit and withdrawal behaviors, between LMX and withdrawal behaviors, and between person-organization fit and LMX and an intention to leave. However, only person-organization fit was statistically significant with withdrawal behaviors and an intention to leave. The progression model of withdrawal behaviors was also supported.

The self-report questionnaires were the limitations of the study.

This study highlighted the importance of withdrawal behaviors and an intention to leave an organization which are costly behaviors. Person-organization fit should be emphasized at the recruitment and selection process, and coherent human resource practices should be used in an organization to possibly lessen these costly behaviors.

This study contributed to the knowledge of withdrawal behaviors, covering both least severe and more extreme behaviors. This study suggested that an organization should pay attention to these least severe withdrawal behaviors among employees, since these can lead to an extreme withdrawal behavior – i.e. an intention to leave an organization.

This paper presents a conceptual analysis of time within a business‐to‐business financial services context. No study has attempted to do this in the financial services sector. We discuss the methodological debate, literature on temporality and multi‐disciplinary conceptualisations of time. Time as it operates in business relationships is also considered. We analyse effect and problems of the present, past and future in business relationships, and evaluate how these critical temporal junctures affect exchange, relationship development, and the internal and external effectiveness of companies. The paper concludes with a discussion of the resolution of the conflicts which arise out of different temporal perceptions and needs, an examination of those conflicts, and managerial applications for effective management of the alignment of time between interacting organisations.

Evaluates an attempt to increase numerical and (particularly) functional flexibility in a large chemical processing plant in the Republic of Ireland. Additionally, focuses on the training implications of managerial initiatives to introduce flexible working arrangements. The case evidence is based on interviews and documentation from senior and line management, employees and trade union representatives. Reviews the nature of craft integration and the various problems encountered in negotiations between the various parties. Explores the training agenda associated with craft integration and suggests various issues for consideration by companies seeking to achieve craft integration and improvements in flexibility.

Constructing and evaluating behavioral science models is a complex process. Decisions must be made about which variables to include, which variables are related to each other, the functional forms of the relationships, and so on. The last 10 years have seen a substantial extension of the range of statistical tools available for use in the construction process. The progress in tool development has been accompanied by the publication of handbooks that introduce the methods in general terms (Arminger et al., 1995; Tinsley & Brown, 2000a). Each chapter in these handbooks cites a wide range of books and articles on specific analysis topics.

Entrepreneurship education has moved from an elitist view focussing on a start-up and picking-the-winners philosophy towards a broader enterprising behaviour approach; recognising entrepreneurship as an activity of relevance for everybody. The purpose of this paper is to extend this development and identify how university entrepreneurial ecosystems can be expanded to support communities that are under-represented in entrepreneurship.

Based on an integrative literature review (Torraco, 2005), this paper draws together and synthesises literature from the field of entrepreneurship, higher education studies and under-represented communities in an integrated fashion, leading to the development of a new conceptual model.

This paper challenges the traditional role of universities in supporting entrepreneurship as focussing mainly on economic growth and new venture creation, and identifies how universities are also positioned to provide greater civic support to entrepreneurial learning amongst under-represented communities. Through a critical analysis of the literature, the conceptual model proposed identifies six key considerations in the expansion of university entrepreneurial ecosystems for under-represented communities.

There are currently 96.6m people at risk of poverty and social exclusion in the EU (OECD, 2017) and an estimated 43.1m Americans (US Census Bureau, 2017). This paper explores how university entrepreneurial ecosystems can be expanded to support minority and disadvantaged communities who are under-represented in terms of entrepreneurial activity.

Given that there is little research regarding how universities might activate inclusive entrepreneurship initiatives amongst under-represented communities, this paper expands existing knowledge as it identifies the key considerations encompassing university-led community collaborative enterprise support.