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This study aims to develop a software risk prioritization model using analytic hierarchy process (AHP) and further validate the usability attributes of the model in prioritizing operational, technical, technological, strategic and environmental software risks.

Questionnaire was used to collect data from software practitioners to evaluate the usability attributes of the AHP-software risk prioritization model. Accordingly, partial least square-structural equation modeling was used to analyze the collected data.

Results reveal that the developed AHP-software risk prioritization model is efficient and effective in facilitating software risk factor prioritization. In addition, results suggest that the experts are satisfied with the learnability, accessibility and navigation capability of the model. Besides, results indicate that the model provides a useable interface and system design for content availability of information needed by software practitioners in evaluating and prioritizing operational, technical, technological, strategic and environmental risk. Furthermore, results show that the experts intend to adopt the model to prioritize identified software risk in their firm.

Methodologically, the developed AHP-software risk prioritization model is faced with issues such as inconsistency in judgments, weakness of confronting ambiguities and uncertainties of high complexity. Empirically, data were collected from software practitioners in Malaysia to validate the AHP-software risk prioritization model. Hence, results from this study cannot be generalized to other software practitioners in different countries.

This study developed a software risk prioritization model to evaluate and prioritize software risks that occur in software organizations by deploying AHP to carryout risk factor priority selection. Moreover, the model provides risk knowledge as guidelines for evaluating software risks in software organizations.

The developed AHP-software risk prioritization model computes risk prioritization factor priority selection and further supports software practitioners and evaluates risks and associated risk factors. Besides, this study develops an instrument that can be used in project risk management to validate the usability attributes of software risk approaches.

This research designs use case and class diagram to show how the AHP-software risk prioritization model evaluates and prioritizes software risks factors by using risk evaluation questions. Additionally, the AHP-software risk prioritization model computes, evaluates and prioritizes software risk factors using risk factor priority selection for software project management.

The purpose of this paper is to identify the productivity improvement potentials from maintenance planning practices in manufacturing companies. In particular, the paper aims at understanding the connection between machine criticality assessment and maintenance prioritization in industrial practice, as well as providing the improvement potentials.

An explanatory mixed method research design was used in this study. Data from literature analysis, a web-based questionnaire survey, and semi-structured interviews were gathered and triangulated. Additionally, simulation experimentation was used to evaluate the productivity potential.

The connection between machine criticality and maintenance prioritization is assessed in an industrial set-up. The empirical findings show that maintenance prioritization is not based on machine criticality, as criticality assessment is non-factual, static, and lacks system view. It is with respect to these finding that the ways to increase system productivity and future directions are charted.

In addition to the empirical results showing productivity improvement potentials, the paper emphasizes on the need for a systems view for solving maintenance problems, i.e. solving maintenance problems for the whole factory. This contribution is equally important for both industry and academics, as the maintenance organization needs to solve this problem with the help of the right decision support.

The aim of this study is to describe the view of age‐related prioritisation in health care among physicians and healthcare politicians and to compare their views regarding gender and age.

Swedish physicians (n=390) and politicians (n=310), mean age 52 years, answered an electronic questionnaire concerning age‐related priority setting in healthcare. The questionnaire had fixed response alternatives with possibility of adding comments.

A majority of the participants thought that age should not influence prioritisation, although more physicians than politicians thought that younger patients should be prioritised. There were also significant differences concerning their views on lifestyle‐related diseases and on who should make decisions concerning both vertical and horizontal prioritisation. The comments indicated that the politicians referred to ethical principles as a basis for their standpoints while the physicians often referred to the importance of biological rather than chronological age.

Web‐based surveys as a method has its limitations as biased samples and biased returns could cause major problems, such as limited control over the drop‐outs. The sample in this study was, however, judged to be representative.

The results indicate that supplementary guiding principles concerning prioritisation in healthcare are needed in order to facilitate decision‐making concerning resource allocation on a local level.

This paper adds important knowledge about decision makers' views on age‐related priorities in healthcare, thus contributing to scientific base for prioritisation in healthcare and the ongoing debate in society.

An ongoing debate in the field of organizational decision-making concerns the use of intuition versus analytical rationality in decision-making. For the purpose of contributing to this debate we use a rich empirical dataset built from a longitudinal study of information technology project prioritization in a large financial institution to investigate how managers make space for the use of intuition in decision-making. Our findings show that during project prioritization meetings, senior decision makers apply three different techniques: bringing-in project intangibles, co-promoting intuitive judgments, and associating intuitive judgments with shared group context, when they make space for intuition in decision processes.

In this chapter, we update stakeholder salience research using the new lens of stakeholder work: the purposive processes of organization aimed at being aware of, identifying, understanding, prioritizing, and engaging stakeholders. Specifically, we focus on stakeholder prioritization work — primarily as represented by the stakeholder salience model — and discuss contributions, shortcomings, and possibilities for this literature. We suggest that future research focus on stakeholder inclusivity, the complexity of prioritization work within intra-corporate markets, the integration of stakeholder prioritization with other forms of stakeholder work, and the development of managerial tools for multiobjective decision making within the strategic management context.

Several authors have proposed different approaches to help practitioners deal with the complexity of prioritising improvement projects and initiatives. However, these approaches have been developed as “generic” methods which do not consider the specific needs, objectives and capabilities of different industries and organisations. The purpose of this paper is to present an integrated methodology that prioritises improvement projects or initiatives based on two key performance objectives, cost and quality, specifically important for low volume‐high integrity product manufacturers.

The paper reviews some of the most commonly used prioritisation methods and the theory and logic behind the proposed prioritisation methodology. Then, the prioritisation methodology is empirically tested, through a case study, in a world class manufacturing organisation.

The results obtained from the case study indicate that the integrated methodology proposed in this paper is an effective alternative for low volume‐high integrity products manufacturers to identify, select and justify improvement priorities.

Selection and prioritisation of projects and initiatives are key elements for the successful implementation of improvements. The integrated methodology presented in this paper intends to aid organisations in dealing with the complexity that is normally handled over the selection and prioritisation of feasible improvement projects.

This paper presents a novel methodology that integrates two commonly used approaches in industry, Process Activity Mapping (PAM) and Failure Mode and Effect Analysis (FMEA), to prioritise improvements. This methodology can help, in particular, organisations embarked in the manufacture of low volume‐high integrity products to take better decisions and align the focus of improvement efforts with their overall performance and strategic objectives.

As the prioritization of family goals depends on the resolution of family conflict, this study's purpose is to explain how a dominant coalition (DC) of parental family members prioritizes their family economic and non-economic goals when faced with different types of family conflict.

A conceptual framework is developed drawing on a socio-cognitive approach to explain a family's goal formation process. This socio-cognitive approach extends the stakeholder salience underpinnings of family influence/essence theory. It shows that family conflict arises from the complex and novel social settings of a family business and that a DC prioritizes their family's goals by drawing on heuristic biases to resolve such family conflict.

A key finding of this study is the introduction of a distinct type of agency to family influence/essence research. Unlike the salient explanations, a family's goal formulation process is attributed to a DC's heuristic response in resolving their family business conflict.

Scholars have called for a greater need to investigate the social and cognitive underpinnings of a family's goal formation process. While the social settings of a family business are often explained in terms of family conflict, an understanding of the sources of such conflict and their resolution have received limited attention. This study opens new avenues to understanding the sources of such family conflict and the cognitive mechanisms needed to overcome them. This understanding is critical not only to the prioritization of a family's goals but also to the idea that “influence” defines the essence of a family business.

The aim of this study was to investigate the acceptability of 14 prioritisation criteria from nurses’, doctors’, local politicians’ and the general public's perspective. Respondents (nurses, n=682, doctors, n=837 politicians, n=1,133 and the general public, n=1,178) received a questionnaire with 16 imaginary patient cases, each containing 2‐3 different prioritisation criteria. The subjects were asked to indicate how important it was for them that the treatments in the presented patient cases be subsidised by the community. All respondents preferred treatments for poor people and children. With the exception of the doctors, the three other study groups also prioritised elderly patients. Treatment for institutionalised patients, those with self‐induced disease, diseases with both poor and good prognosis, and mild disease were given low priorities. Priority setting in health care should be regarded as a continuous process because of changes in attitudes. However, the best method for surveying opinions and ethical principles concerning prioritisation has not yet been discovered.

Accessing web sites from mobile devices has been gaining popularity but may often do not give the same results and experiences as accessing them from a personal computer. The paper aims to discuss these issues.

To address these issues, the paper presents a server-side adaptation approach to prioritising adaptive pages to different devices through prioritisation system. The prioritisation approach allows users to prioritise page items for different devices. The prioritisation engine reorders, shows, and removes items based on its priority set by users or developers.

With this approach, the overall web page's structure is preserved and the same terminology, content, and similar location of content are delivered to all devices. A user trial and a performance test were conducted. Results show that adaptive page and prioritisation provides a consistent and efficient web experience across different devices.

The approach provides advantages over both client-side and proxy and has conducted significant experimentation to determine the applicability and effectiveness of the approach.

The paper seeks to indicate where resources should be directed to utilize online marketing communication (OMC) further, including the identification of the diversity of OMC adoption, prioritization and future potential.

A conceptual model of prioritization and potential of OMC, specified as a structural equation model is developed. Research data are collected from both Danish advertising agencies and major companies, and based on these data the model is estimated by using partial least squares (PLS).

The adoption of OMC by companies, as opposed to advertising agencies, is rather diverse. Companies should take responsibility for the holistic utilization of OMC, as well as the development of holistic prioritization methods. Special attention should be given to online relationship communication, as this discipline is the primary driver of confidence in future potential, and online interactive communication, which has the largest potential for improvement.

The research is based on a single geographic market (Denmark), and its transferability to other markets can be questioned. The geographical constraint also means that the sample is limited.

The paper presents original findings for online marketing communication planning and prioritization, and thereby adds to a green field that lacks both theory and practical recommendations.