This study proposes the use of fuzzy AHP method to evaluate the structure of airline business model attributes and its corresponding hierarchy of evaluation index. As the AHP method requires, several pairwise comparisons were made using linguistic variable to determine the weights of criteria and sub-criteria. According to the results, value added processes have been found as the most important criteria while core products and services under value proposition criterion have been identified as the most important sub-criteria. This study suggests fuzzy AHP as a useful method in determining the important attributes of business model. In addition, the results of the present study contribute to the business model literature by determining importance and weights of criteria and sub-criteria for the airline business model and may act as a strategic tool to modify or generate a winning business model for the airline industry.
Customer interaction in new service development has a positive impact on the performance of new services. In addition, prior studies recognize the importance of the fuzzy front-end stages of new service development. Yet, the researchers have not taken the next step to explore the relationship between these two key areas of service innovation. To address this critique of the literature, the process of customer interaction in the fuzzy front-end of new service development is investigated by conducting a rigorous qualitative field research involving 26 financial services firms. The findings suggest that the fuzzy front-end can be much less ‘fuzzy’ if customers are involved in the front-end stages of new service development.
Purpose The purpose of this paper is to explore conceptualizations of mindset across disciplines with particular attention to scholars’ care in defining and operationalizing the construct of mindset. Theories of mindset have witnessed increased attention through a variety of disciplines for their applicability as processes with the potential to influence individual and/or organizational outcomes. Exploration of mindset conceptualizations and characterizations reveal substantial divergences. Design/methodology/approach This conceptual paper generally examines the utilization of mindset constructs via a multidisciplinary review of literature and specifically details three mindset theories (implemental and deliberative, global and growth and fixed mindsets) to illuminate such disparities. Findings This paper categorizes the significant variations of the mindset construct and research via three distinct streams. Each stream highlights knowledge as instrumental in the mindset construct; however, the ways in which varying aspects of knowledge, knowledge mechanisms or knowledge as a component of an individuals and/or organization’s identity correspond to the inherent presuppositions of varying articulations of mindset theory and praxis. Practical implications Effectively influencing an individual and/or organization’s mindset necessitates an accurate assessment of the mindset construct. Further, evaluating the applicability of mindset research and/or feedback from a consultant warrants attention to the assumptions undergirding the mindset construct. Originality/value Generally, mindset studies and theories have scantly attended to both the historical development of mindset research as well as divergences in the research record within and across disciplines. This paper attempts to address this deficiency. Further, this paper appears to be the first attempt to compare and identify varying conceptualizations and characterizations of mindset theory and, therefore, identifies previously unidentified assumptions.
This paper proposes a parametric programming approach to address the notion of the time value of delays in the presence of mixed (random and fuzzy) uncertainties that result from unreliable systems. To consider different types of delay time values, the system states are appropriately and carefully identified and defined, and a cost-based fuzzy decision model that incorporates several unreliability factors is constructed. Then, the proposed model is transformed into a pair of nonlinear programs parameterized by the possibility level to identify the lower and upper bounds on the minimal total cost per unit time at and thus construct the membership function. To provide analytical expressions, a special case with analytical results is also presented. In contrast to existing studies, the results derived from the proposed solution procedure conserve the fuzziness of the input information, representing a significant difference from the crisp results obtained using approaches based on probability theory. The results indicate that the proposed approach can provide more precise information to managers and improve decision-making in practical system design.
Why is it so plausible that business organisations in contemporary society use values in their communication? In order to answer this question, a sociological, system theoretical approach is applied which approaches values not pre-empirically as invisible drivers for action but as observable semantics that form organisational behaviour. In terms of empirical material, it will be shown that business organisations resort to a communication of values whenever uncertainty or complexity is very high. Inevitably, value semantics are applied in organisations first when the speakers are uncertain about which stakeholders to whom they have to address (uncertainty) or when different stakeholder groups have to be addressed simultaneously (complexity); second, when the identity of the organisation has to be described; and third, when future strategic options that cannot be expressed by quantitative terms have to be communicated. Values accordingly play a role in organisational practice when certain aspects are indeterminate. Therefore, they are a means for organisations to communicate under fuzzy circumstances. On the basis of these findings, new approaches to value management can now be formulated.
In this paper, we consider a pricing and remanufacturing decision problem in a fuzzy closed-loop supply chain with one manufacturer, two competitive retailers and one third-party collector. The fuzziness is associated with collecting costs, remanufacturing costs, and customer demands. Two game models are proposed to formulate the pricing and remanufacturing decision problem under different power structures. The channel members' optimal decisions in fuzzy environment are derived from these models. Numerical experiments are also given to explore the impacts of the power structure and fuzziness on the performance of the chain. It is found that the manufacturer has more advantages in pursuing higher expected profit when it performs as a Stackelberg leader. The existence of dominance in the closed-loop supply chain may lead to poor performance of the total system: higher sales prices, lower collecting rate, and lower expected profit of the whole supply chain. The results also show that the fuzziness of costs may have positive influence on the recycling level.
Project scheduling problem is to determine the schedule of allocating resources so as to balance the total cost and the completion time. This paper considers project scheduling problem with mixed uncertainty of randomness and fuzziness, where activity duration times are assumed to be random fuzzy variables. Three types of random fuzzy models as expected cost minimization model, ( , )-cost minimization model and chance maximization model are built to meet different management requirements. Random fuzzy simulations for some uncertain functions are given and embedded into genetic algorithm to design a hybrid intelligent algorithm. Finally, some numerical experiments are given for the sake of illustration of the effectiveness of the algorithm.
Purpose - The purpose of this paper is to discuss the applicability of investment decision-making techniques under fuzziness.Design methodology approach - The paper explains how fuzzy sets can be used in investment decision making.Findings - It was found that any classical investment analysis technique can be converted easily to a fuzzy case.Originality value - The paper indicates the necessity for usage of the fuzzy set theory in case of incomplete information.