How to support the application of multiple criteria decision analysis? Let us start with a comprehensive taxonomy

Decision making is a complex task that involves a multitude of perspectives, constraints, and variables. Multiple Criteria Decision Analysis (MCDA) is a process that has been used for several decades to support decision making. It includes a series of steps that systematically help Decision Maker(s) (DM(s)) and stakeholders in structuring a decision making problem, identifying their preferences, and building a decision recommendation consistent with those preferences. Over the last decades, many studies have demonstrated the conduct of the MCDA process and how to select an MCDA method. Until now, there has not been a review of these studies, nor a proposal of a unified and comprehensive high-level representation of the MCDA process characteristics (i.e., features), which is the goal of this paper. We introduce a review of the research that defines how to conduct the MCDA process, compares MCDA methods, and presents Decision Support Systems (DSSs) to recommend a relevant MCDA method or a subset of methods. We then synthesize this research into a taxonomy of characteristics of the MCDA process, grouped into three main phases, (i) problem formulation, (ii) construction of the decision recommendation, and (iii) qualitative features and technical support. Each of these phases includes a subset of the 10 characteristics that helps the analyst implementing the MCDA process, while also being aware of the implication of these choices at each step. By showing how decision making can be split into manageable and justifiable steps, we reduce the risk of overwhelming the analyst, as well as the DMs/stakeholders during the MCDA process. A questioning strategy is also proposed to demonstrate how to apply the taxonomy to map MCDA methods and select the most relevant one(s) using real case studies. Additionally, we show how the DSSs for MCDA method recommendation can be grouped into three main clusters. This proposal can enhance a traceable and categorizable development of such systems.     

A new value stream mapping approach for healthcare environments

Hospitals worldwide are giving a growing emphasis to the application of lean concepts in the healthcare sector, commonly known as ‘lean healthcare’. A fundamental tool that allows such implementations is the value stream mapping (VSM). The problem is that VSM models used in implementations of lean healthcare are simple adaptations of the original VSM model, which was initially directed towards manufacturing and may not always represent important support activities for the patient flow that directly impact treatment time. Within this context, this paper presents a new VSM approach for healthcare environments. This new VSM model, specifically designed for healthcare environments, contemplates all activities that directly affect the treatment time. In addition, the present paper also presents an action research in a Brazilian hospital where the proposed VSM model is compared to other VSM models found in the literature. The results shown that the proposed VSM model was able to identify some operational bottlenecks and wastes that interfere in the patient’s treatment that could not be identified by other mapping models studied.     

META-DESIGN CONSIDERATIONS IN DEVELOPING MODEL MANAGEMENT SYSTEMS*

This paper examines cognitive considerations in developing model management systems (MMSs). First, two approaches to MMS design are reviewed briefly: one based on database theory and one based on knowledge-representation techniques. Then three major cognitive issues—human limitations, information storage and retrieval, and problem-solving strategies—and their implications for MMS design are discussed. Evidence indicates that automatic modeling, which generates more complicated models by integrating existing models automatically, is a critical function of model management systems. In order to discuss issues pertinent to automatic modeling, a graph-based framework for integrating models is introduced. The framework captures some aspects of the processes by which human beings develop models as route selections on a network of all possible alternatives. Based on this framework, three issues are investigated: (1) What are proper criteria for evaluating a model formulated by an MMS? (2) If more than one criterion is chosen for evaluation, how can evaluations on each of the criteria be combined to get an overall evaluation of the model? (3) When should a model be evaluated? Finally, examples are presented to illustrate various modeling strategies.     

PERCEIVED INFORMATION STRUCTURE: IMPLICATIONS FOR DECISION SUPPORT SYSTEM DESIGN

Top-level decision making in business organizations is characterized by high degrees of uncertainty, incomplete information, and conflicting objectives. To support top-level decision making effectively, decision support systems (DSSs) have been proposed. Information supplied by a DSS must be selective in that not all possible information sets may be feasibly or economically represented in the data base. This study suggests that discovery of perceptual complexity (dimensionality) of information items, and the subsequent categorization of decision makers having the same perceptions of those information items, is a first step in the ultimate design of an effective DSS. Through the use of multidimensional scaling in a field setting, this study shows the feasibility of creating relatively homogeneous groups of decision makers according to the content and number of dimensions associated with various information items. Further results of the research suggest that information can be tailored to classes of users, which has cost-benefit implications as well as the potential to improve the quality of the resultant decisions.     

Applications and Implementation DECISION SUPPORT SYSTEMS: AN EMPIRICAL ASSESSMENT FOR DECISION MAKING

A laboratory experiment examined the effects of applying decision support system (DSS) technology to decision making in ill-structured problem environments under varying information conditions. Marketing executives participated in the experiment which investigated the effects of DSS availability, DSS training, and data availability on dependent variables that included: (1) the number of alternatives considered by a subject during decision making, (2) the period of time spent by a subject to complete the decision-making process, (3) the subject's perceived confidence in the decisions he or she had made, (4) the amount of data considered by a subject's during decision making, (5) the individual subject's decision processing, and (6) the subject's performance overall. Our results indicate that all three factors significantly affect the number of alternatives considered by subjects during the decision-making process. We therefore suggest that DSS training be coordinated with decision training in order to realize the potential of DSSs as described in the DSS literature.     

On the role of Prognostics and Health Management in advanced maintenance systems

The advanced use of the Information and Communication Technologies is evolving the way that systems are managed and maintained. A great number of techniques and methods have emerged in the light of these advances allowing to have an accurate and knowledge about the systems’ condition evolution and remaining useful life. The advances are recognised as outcomes of an innovative discipline, nowadays discussed under the term of Prognostics and Health Management (PHM). In order to analyse how maintenance will change using PHM, a conceptual model is proposed built upon three views. The model highlights: (i) how PHM may impact the definition of maintenance policies; (ii) how PHM fits within the condition-based maintenance; and (iii) how PHM can be integrated into reliability-centred maintenance programmes. The conceptual model is the research finding of this review note and helps to discuss the role of PHM in advanced maintenance systems.     

Nature-inspired metaheuristics for multiobjective activity crashing

Many project tasks and manufacturing processes consist of interdependent time-related activities that can be represented as networks. Deciding which of these sub-processes should receive extra resources to speed up the whole network (i.e., where activity crashing should be applied) usually involves the pursuit of multiple objectives amid a lack of a priori preference information. A common decision support approach lies in first determining efficient combinations of activity crashing measures and then pursuing an interactive exploration of this space. As it is impossible to exactly solve the underlying multiobjective combinatorial optimization problem within a reasonable computation time for real-world problems, we have developed proper solution procedures based on three major (nature-inspired) metaheuristics. This paper describes these implementations, discusses their strengths, and provides results from computational experiments.     

DECISION SUPPORT SYSTEMS FOR ILL-STRUCTURED PROBLEMS: AN EMPIRICAL STUDY

Decision support systems (DSSs) are more complex than most other traditional decision-aid systems. For what types of problems are they more effective, and what design characteristics make them more effective? The laboratory experiment reported here examined the effect of three design characteristics of these systems in the context of decision makers faced with ill-structured problems. The characteristics were presence or absence of decision-aid heuristics, degree of interaction between the user and the system, and whether or not the system was computerized. The dependent variables were (1) quality of user performance, (2) user productivity of ideas, (3) user confidence in the quality of his/her performance, (4) user satisfaction with the decision aid or support system, (5) changes in user attitude toward the problem addressed, and (6) changes in user attitude toward computers. Use of heuristics and increased interaction had positive effects on decision quality, user productivity, and attitude toward computers; they had negative effects on user confidence, satisfaction, and attitude toward the problem addressed. Whether or not the system was computerized did not have a significant effect on any dependent variable. The findings concerning negative effects, in particular, suggest the need for research on the design of heuristics for addressing ill-structured problems—heuristics that will deliver the positive but not the negative effects observed in this study. The findings also suggest the need for research on how to benefit from computers in the context of solving ill-structured problems.     

Knowledge retention in ERP implementations: the context of UK SMEs

Abstract

Knowledge retention (k-retention) is vital for various enterprise resource planning (ERP) implementations in small and medium-sized enterprises (SMEs), though it is a highly demanding and challenging task. The aim of this paper is to investigate different types of approaches to k-retention and factors influencing k-retention in SMEs. Our study adopts a grounded theory approach with cases based on 12 ERP implementations in UK SMEs. We analyze our data using thematic analysis. The findings reveal specific elements that support the k-retention of ERP package knowledge and business process knowledge. These elements are: k-retention tools, documentation, human capital and the understanding of k-retention challenges. In addition to insights from these aspects, our study reveals two additional factors (project management and organizational culture) that influence ERP package k-retention and business process k-retention. Based on these findings, we develop an ERP k-retention (EKR) framework that can be utilized by SMEs which are considering implementing ERP systems, to facilitate knowledge retention during implementation.     

Perception of learning culture and concerns about the innovation on its use: a question of level of analysis.

The purpose of this study was to determine the relationship between organizational members' perception of learning culture and the concerns about the innovation, and the influence of these factors on the use of one innovation (ISO 9000) in the Malaysian public sector. This study was guided by the Concerns-Based Adoption Model (CBAM) (Hall and Hord 1987) and the dimensions of the learning organization (Watkins and Marsick 1993, 1996b). The study involved 628 people from eleven government agencies that had been using the new system for at least a year. The study provided a model for operationalizing the assertions and theories of both organizational development and learning organization scholars especially that a more adaptive learning-oriented culture would facilitate the implementation of change. The examination of learning culture facilitated the understanding of how members within the organization perceived their learning culture, and subsequently its relationship to their use of the innovation. The analysis of concerns illustrated the fit between the innovation and feelings and perceptions of the individual members about the innovation. On an individual organizational basis, the regression analyses showed that the model was able to explain the variance in use of innovation in each organization. However, a comparison of regression weights across the organizations told a very different story. The results showed that the combination of variables that explained the use of innovation varied radically from organization to organization. The findings raised questions about appropriate levels of analyses for such studies. The study suggests that theories that try to explain organizational innovation implementation be tested across organizations and take into account organizational context. Otherwise, they could lead to inaccurate conclusions.     

Applying kaizen to the schedule in a concurrent environment

Not only ETO (Engineering to Order), but even serial production industry should know how to deal with projects and their schedule: plant commissioning, shutdown, introducing new products and similar circumstances should be managed with adequate planning and resource allocation techniques to create a schedule useful in decision making during the execution. The current complex reality, with evolving technologies and fierce pressure to reach the market as soon as possible, pushes the project managers to use more advanced techniques than waterfall planning, such as agile or lean. It also requires them to take a holistic view and manage concurrent tasks in complex projects. The contributions of this paper are two: the proposal to control specific parallel groups of waterfall activities under uncertain environments, which can lead to iterations and reworks, as a single concurrent Activity Managed by Kanban Methods (AMKM). This activity can be subsequently embedded into traditional scheduling approaches as CPM-PERT. The second contribution is the feasibility of its application in industrial environments due to the affordability of simulation software. Two use cases are shown as evidence. It is not a disruptive proposal, but a kaizen action based on very mature technologies. Finally, it is suggested some improvements to be implemented in Project Management Software due to this ‘kaizen’ proposal.     

Is it Just Me? Exploring Perceptions of Organizational Culture Change

A review of the literature on organizational culture change suggests that the field might benefit from studies combining both etic (researcher) and emic (employee) perspectives to examine individuals’ views regarding how and why their culture has changed. This paper seeks to deepen researchers’ knowledge of how individuals perceive organizational culture change by undertaking a two‐part study within an organization that has undergone planned cultural change initiatives. More specifically survey (i.e. etic view) data and interview (i.e. emic view) data are used to explore: (1) factors associated with (a) whether an individual will perceive that culture change has occurred, and (b) whether they categorize this change as for the better, for the worse or one that could not be categorized using these two labels; and (2) individuals’ rationales for why the culture has changed. The findings are mixed regarding the extent to which they support or refute existing research on organizational culture change.     

Knowledge generation and governance in management research

We consider how historical developments led to an emphasis on positivistic research approaches in business schools, and we explain how alternative assumptions could be the basis for academic management knowledge. We then discuss the governance structures journals use to determine which articles to publish and how reviewer motivations may influence these processes. Given this academic research and publishing context, we argue that it is not surprising that management research relevant for management practice receives little support. We propose changes to encourage more innovative research that offers stronger ties between management research and practice.     

E‐Procurement Infusion and Operational Process Impacts in MRO Procurement: Complementary or Substitutive Effects?

The procurement of maintenance, repair, and operating (MRO) goods has remained a relatively understudied topic in the literature. Though vital cost efficiencies can be extracted from procurement processes through investments in e‐procurement systems, there is little empirical work that addresses how such systems should be deployed within organizations. In this study, we focus on the role of e‐procurement systems in MRO procurement and study two critical aspects of infusion. The first dimension captures the depth of e‐procurement use within the procurement function, while the second dimension depicts the breadth of use. We argue that these two dimensions of e‐procurement use, and their interaction, will be related to the performance of the MRO procurement process. Using survey data from 193 service organizations and structural equation modeling techniques, we show that the two infusion dimensions are significantly associated with improved process performance. Additionally, we show a substantial substitutive effect between the two use dimensions on performance. Our work has significant implications for managers who seek to gain efficiencies by the deployment of Internet‐based technologies within operational processes. Our conceptualization of e‐procurement infusion along two dimensions provides a more fine‐grained analysis of performance benefits accruing from the infusion of information technologies within organizations.     

Big business vs big government—A new social contract?

The author describes how the conflict between the two ideologies of liberalism and conservatism may be resolved to produce an economic system that increases both social welfare and entrepreneurial freedom. After summarizing the limitations of the left and right wing positions, he describes research studies on a ‘Return on Resources Model’ that suggest a third perspective called the ‘social contract’ which reconciles both views to create a more powerful synthesis. An intriguing possibility is that the social contract could produce a ‘decentralization strategy’ in which control of the economy would shift downward from government to a self-regulating and more productive private sector. Some speculations are offered on how these possibilities seem likely to unfold during the next decade or so, as well as suggestions on how politicians and corporate executives could foster this ‘New Capitalism’.     

MOTIVATING STUDENTS IN THE OPERATIONS MANAGEMENT CLASS: CHALLENGES FOR THE PUBLISHING INDUSTRY

Motivating students to learn and apply operations management concepts is an important aspect of the learning process in an operations management class. While an emphasis on techniques and pedagogical technology has some motivational benefits, this paper proposes an emphasis on student/teacher interaction and a deeper understanding of complex situations. To support this approach, publishers should provide the materials to effectively use the new classroom technologies and the tools to support a wide variety of teaching styles. In addition, publishers should provide creative cross-functional simulations so that students can understand the role of operations management in the context of the firm. Finally, rich decision-making environments are needed to put the students in more realistic situations.     

Perceptions of politics and organizational cynicism: An attributional and leader–member exchange perspective

As the political perspectives of organizations gain acceptance, leadership is increasingly viewed as a political process. While some researchers have begun to shun the notion that politics should be viewed as necessarily bad and undesirable, it is still commonly seen as a negative attribute of the organizational environment. Moreover, organizational members who perceive themselves to be working in negative political environments may develop cynical attitudes toward the organization. The purpose of this paper is to provide insight into the role that attributions play in eliciting negative cognitive and affective reactions to the political environment. We argue that because the quality of the leader–member exchange (LMX) is often central to these reactions, LMX theory and research possess considerable promise for enhancing our understanding of these processes. We explore attributional processes in detail, with special attention to (a) how these attributional processes occur within a leader–member relationship and (b) how attributions ultimately impact perceptions of politics, as well as organizational cynicism.     

Foundations for collaborative performance measurement

In the past years, companies have been establishing collaboration relationships as a means to become more competitive. This type of relationship presents some special characteristics that need to be managed properly in order to be successful. Performance measurement systems (PMSs) may support the management of such relationships by aiding to define and collect the necessary information. However, further understanding is needed to identify the elements and interactions among collaborative elements and how they can be integrated within a PMS. The aim of this article is twofold. The first purpose is to analyse the contents of works that tackle interorganisational and collaborative relationships as well as PMSs for interorganisational and collaborative environments by defining a typology. The typology comprises two dimensions: degree of relationships among collaboration elements and integration of collaboration within PMS. The second purpose is to perform a comparative study of the works for identifying main strengths and gaps for future research.     

Classifying Revenue Management: A Taxonomy to Assess Business Practice*

As revenue management (RM) techniques evolve there is a need to take stock of how organizations practice RM and the interactions among techniques. This would help practitioners and researchers better understand how RM practice is influenced by the business setting, including those not traditionally associated with advanced RM techniques. Also, it would facilitate investigations of which practices lead to better outcomes in different contexts. Research to date has focused on individual techniques within individual business settings, with limited attention to the range of environments in which RM practice occurs. This suggests a need for a common framework to classify and assess differences in practice. In this article, we present a taxonomy which comprises (i) seven indicators of practice and (ii) a decision tree to measure RM across diverse businesses. We test the classification system in a survey of 232 businesses. Results show the taxonomy provides a comprehensive view of RM practice, with meaningful discrimination across settings. Findings also offer insight into how practices vary across different settings. Our taxonomy contributes to future research by facilitating systematic comparisons of RM practices, the settings in which it is adopted, and its impact on performance.