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Managing a project involves taking a number of critical decisions that can have a crucial impact on the success or failure of the initiative. The analytical definition and visualization of the main components of a project can support project managers engaged to address the right issues at the right time. This article aims to identify crucial crossroads in the management of a project and to provide a visual representation of knowledge involved into a system of project components and decisions.

A design science process is adopted to define the initial goals and requirements and to develop the knowledge visualization framework. Expert feedback is also gathered to obtain a preliminary validation of the framework.

Moving from a system view of project dimensions, we identify eight types of strategic decisions, i.e. growth, problem shifting, goals balancing, escalation, rewarding, resource allocation, problem fixing and cooperation. We then present a visualization map of project decision making addressing six categories of knowledge (i.e. “what-knowledge”, “how-knowledge”, “who-knowledge”, “why-knowledge”, “what for-knowledge”, “when-knowledge”).

The framework needs further theoretical refinement in terms of more fine-grained decision types, other determinants and the reciprocal influence in the management of project activities.

The article can support project managers attempting to build a comprehensive view of project decisions, and it can be a basis to develop novel types of knowledge management systems for project-related applications.

The article proposes a new approach to sustain strategic decision making in project management by adopting a knowledge visualization view. Moreover, it provides an operational tool for managers and analysts at different levels engaged into the management of a project.

The purpose of this paper is to provide an extensive analysis of contributions to scholarly research on decision tools.

A systematic literature review was used to collect data from 47 articles published in peer-reviewed academic journals between 1980 and 2017. Co-citation analysis was adopted to analyse recent trends in research on decision tools and recommend a framework that places such research into three categories: mature, intermediate and nascent.

The research revealed that a majority of the studies on decision tools describe decision tool implementation in a single company or setting. It also provided a clear presentation of recent trends in the decision tools literature by categorising and comparing papers according to various salient features. The study of decision tools is classified into four macro clusters: conceptualising and defining decision tools; exploring the implementation of decision tools; understanding the relationship between decision tools and other disciplines/approaches/initiatives; and discovering the outcomes of decision tools. Furthermore, the framework proposed in this paper will help scholars identify issues that merit additional theory-building and/or theory-testing research.

To the authors’ awareness, this is the first paper to have adopted both a systematic literature review and co-citation analysis to identify the dominant trends and significant gaps in the field of decision tools research.

The purpose of this paper is to explore the extent to which strategic intelligence is utilised within the South African long‐term insurance industry and whether it could be used to identify opportunities or threats within the global environment to remain competitive, create greater innovation, and corporate advantage.

The approach of this paper is to obtain the qualitative views and opinions of strategic decision makers, on an executive managerial level within the South African long‐term insurance industry, on their organizations' use of strategic intelligence.

There are marked differences in the conformity and usage of strategic intelligence and its components between the organizations surveyed, with a measurable difference between large and small organizations, however, it is generally viewed that the use of a strategic intelligence framework could greatly enhance decision making.

Data collection was limited to the 82 long‐term insurance companies which were registered with the South African Financial Services Board, with a focus on the organizations listed on the Johannesburg Securities Exchange within the Life Assurance Sector, within which a final response rate of 36.1 per cent was achieved, including the 100 per cent response rate from the six listed organizations.

The paper identifies the extent to which strategic intelligence is utilised in the South African long‐term insurance industry, and identifies the benefits or problems that are experienced by implementing and using strategic intelligence as an input to the strategic management process and what value strategic intelligence adds in the decision‐making process.

The identification and utilisation of the most important factors of a strategic intelligence framework will greatly enhance global corporate decision making and result in competitive advantage and constant innovation within the South African business environment.

Organizational wicked problems are ill-defined phenomena arising in complex environments with intertwined and evolving interests. This paper aims to use a nonlinear epistemological approach to explore how multiple management decision tools work together to form configurational paths to deal with organizational wicked problems and to propose some heuristic toolkits for tackling them.

Based on interviews with 53 senior executives dealing with 62 organizational wicked problems, this paper uses grounded theory to construct an antecedent theoretical framework and then uses qualitative comparative analysis (QCA) to conduct configuration analysis on the strategy portfolios that can tackle organizational wicked problems.

This paper used grounded theory to identify six theoretical dimensions as management decision tools for dealing with organizational wicked problems: change adaptation, goal performing, administration, mechanical integration, organic integration and entrepreneuring. In addition, this paper used QCA to explore and propose three heuristic toolkits – synergy oriented, institution oriented and innovation oriented – as multiple equivalent paths to help deal with organizational wicked problems.

This paper uses configuration analysis instead of the net effect analysis of the traditional econometric method and captures multiple antecedent conditions for decision-makers to deal with organizational wicked problems from a holistic perspective. This paper constructs three heuristic toolkits and matches each of them with the most suitable type of organizational wicked problem, constructing a complete research chain of “identifying–tackling” the organizational wicked problem and providing a reference for organizations facing similar situations in future practice.

The purpose of this study is to identify how ethical stances can be used to develop a frame set in the design of a web-based decision support system (DSS) for ethical decision-making and to test both the efficacy of these frames and the potential of such a tool for individuals and groups in both leadership development situations and organisational practice. Unethical behaviour by executives is a frequently cited reason for erosion of trust with other stakeholders.

Utilising action research, by choosing ethics frames such as heuristics, a web-based ethics DSS designed to enable users to explore ethical issues from multiple perspectives was constructed and this was beta-tested with a major UK bank and a global oil company.

In orchestrating constant revisions of the ethics frames in the tool, learning from each research cycle was identified, a new form of action research, a design action research, which emphasises the importance of collaboration in the design of such decision-making tools, was offered and the tool for management development and other applications was successfully beta-tested.

It was demonstrated to management developers how web-based systems might be designed by non-information technology professionals; the framing literature was added by demonstrating the value of engaging in dialogue about ethical issues of concern to managers and their organisations and thus improving decision-making; and additions were made to the literature on ethics and Information systems (IS) and contribution toward action research in the fields of IS and ethics was done.

The purpose of this paper is to analyze, for both parties of a distribution channel, to what extent each party perceives the counterpart’s use of performance measurement systems (PMS) and how this perception affects the perceiver’s own use of these systems, for either decision control or decision management.

The paper proposes a conceptual model tested at different levels using structural equations models. A case study uses survey data from 107 distributors and 91 manufacturer managers.

PMS allow evaluation by the manufacturer and daily management by distributors; both uses of PMS can be simultaneous and complementary. Results show that each party’s perception of the counterpart’s use contributes to its own use, although real uses do not significantly influence these perceptions.

The results must be interpreted with caution because the sample is small. This study calls for further data collection in real situations with larger samples, and for eliminating the influence of the distribution channel type. Further work is needed to analyze other constructs driving the relationship between real use and perception.

This study’s originality comes from the conceptual model, data set, and levels of analysis. Decoupling real use and perception, it challenges the prevailing assumption that managers accurately perceive counterpart managers’ use of PMS. Analyzing at both group and individual levels, it extends the more usual dyadic studies by recognizing that any given manager’s perception may be almost wholly formed by his/her interaction with a group of individuals.

This study aims to develop a software agent-knowledge procurement management tool to address uncertainties from external and internal environments, such as record failure, slow logistics auditing and distribution delay toward improving procurement management in retailing enterprises.

Quantitative methodology was used to collect data using a self-administered survey from randomly selected procurement staffs, marketers and customers to measure their perception regarding the feasibility and acceptance of the implemented agent-knowledge-based procurement management tool.

Results from empirical analysis reveal that the implemented tool facilitates collaboration and interaction among buyers, sellers and procurement managers toward enhancing procurement managers’ flexibility to handle unexpected exceptions. In addition, results confirm the feasibility of the implemented tool in supporting procurement management toward handling inventory failure exception, which occurs in traditional procurement approaches. Moreover, descriptive results from user acceptance test verify that the tool was accepted by the respondents.

The limitation of this study is that the implemented tool is evaluated using data collected from respondents in Malaysia retailing enterprise only; thus, the results cannot be generalized to other enterprises and country. In addition, research implications from this study design a methodological and comprehensive software agent-knowledge-based model that support buyers, sellers and procurement managers with information to facilitate buying and selling operations.

Practically, the designed software agent-knowledge-based model describes how software agents collaborate with each other to facilitate procurement tasks and also use the knowledge base in the implemented tool to provide information sharing platform that manages the dynamics of procurement operations.

This research integrates software agents which are autonomous programs that carryout pre-defined task on behalf of end users. Socially, this study would be useful for procurement managers in developing mechanisms for instilling insights in retailing operations.

This research is among the first to attempt to develop a software agent-knowledge-based model to support procurement management in the retailing enterprise domain. It contributes to promote e-procurement practices by implementing a software agent-knowledge-oriented tool to address uncertainties experienced in retailing enterprise. It is envisaged that this study will provide basis for future research into e-procurement practices for retailing businesses in Malaysia and beyond.

The purpose of this paper is to understand how small to medium-sized enterprise (SME) retailers adopt and implement a loyalty card programme as a marketing management decision-making tool.

A qualitative and longitudinal case study research design is adopted. Data were collected from multiple sources, incorporating semi-structured interviews and analysis of company documents and observation within a retail SME.

The findings presented focus on the loyalty card adoption process to reflect both the organisational issues and impact upon marketing management decision-making.

This research is restricted to one region within the UK, investigating loyalty card adoption within a specific industry sector.

SME retailers operate in an industry environment whereby there is a competitive demand for loyalty card programmes. SME retailers need to carefully consider how to match the firm’s characteristics with customer relationship management (CRM) operational requirements as highlighted in this case.

The evidence presented extends current knowledge of retail loyalty card programmes beyond the context of large organisations to encompass SMEs. The study also illustrates the value of a structured, formal CRM system to help SME retailers compete in a complex, competitive and omni-channel marketplace, adding new insights into the retail literature.

This article aims to describe ethnographic theory and research that maintains the integrity of the individual case while generalizing to multiple cases in research on management decisions. The study aims to provoke and prod management decision researchers to employ ethnographic research tools rather than relying only or mainly on the dominant logic of variable‐based empirical positivism.

Details of two studies of multiple cases in two task environments inform explicit statements of the principles necessary for bridging the gap between management decision practice and research. Six principles serve as pillars for this bridge.

Averages mislead. Partial regression coefficients inform about the impact of variables but mislead in hinting at the sufficiency of individual variables for all cases when high or low values on any one variable are not sufficient or necessary for a high or low outcome on a dependent variable. Research on management decisions must maintain the integrity of the individual case in analyzing and reporting findings on management decisions. Research tools are available now to accomplish these principles.

Get out and into task environments of management decision makers and collect multiple rounds of emic‐etic‐emic‐etic interpretations of management decision processes and outcomes. Go to fsQCA.com to learn how to do qualitative comparative analysis of alternative causal recipes leading to relevant management decision outcomes.

This article describes and calls for a paradigm shift from the current empirical‐positivistic matrix‐algebra dominant logic to a new case‐based Boolean‐algebra logic for management decision researchers.

The aim of the study is to propose an ontology-based approach that provides a framework as a strategy decision tool for urban service design. The research methodology includes two phases to acquire the knowledge needed for urban service management of a city, as a case study. The first phase provides the priority list, through the Principal Component Analysis, for an age-friendly city determined by the citizens through a quantitative research. The second phase is a qualitative research among the public service providers, focusing on 'adequate community support and health services' feature which was the top priority of phase one. The repertory grid as a mapping tool consists of elements (age-friendly cities' features) and constructs (municipality provided services) that interconnect the tacit knowledge with the external knowledge. The findings indicated the importance of the necessity of a shared understanding and conceptualization of what a service is among service providers and consumers. This paper makes an important contribution to urban service management by making the interconnection between tacit and external knowledge as a strategic decision support tool.