Interval type-2 fuzzy set (IT2FS) offers interesting avenue to handle high order information and uncertainty in decision support system (DSS) when dealing with both extrinsic and intrinsic aspects of uncertainty. Recently, multiple attribute decision making (MADM) problems with interval type-2 fuzzy information have received increasing attentions both from researchers and practitioners. As a re...

This study examines the role that business intelligence (BI) and communication technologies play in how firms may achieve organizational sensing agility, decision making agility, and acting agility in different organizational and environmental contexts. Based on the information-processing view of organizations and dynamic capability theory, we suggest a configurational analytic framework that d...

Knowledge network/mobilisation and lean performance have been most often discussed in an isolated manner in generic context in literature. Few studies currently exist that focus on their relationship in supply chain management. This study investigates the relationships between knowledge network types/ mobilisation approaches and successful lean performance outcome using fuzzy-set qualitative co...

Fuzzy-set Qualitative Comparative Analysis (fsQCA) is a relatively new but accepted method for understanding case-based research. The technique utilizes a holistic perspective exploring the similarities and differences across cases. Theory and evidence are linked by the presence and absence of outcomes in configurations of causal conditions allowing for the assessment of the multiple conjunctio...

We present QCA, a package for performing Qualitative Comparative Analysis (QCA). QCA is becoming increasingly popular with social scientists, but none of the existing software alternatives covers the full range of core procedures. This gap is now filled by QCA. After a mapping of the method’s diffusion, we introduce some of the package’s main capabilities, including the calibration of crisp and...

Typologies are an important way of organizing the complex cause-effect relationships that are key building blocks of the strategy and organization literatures. Here, I develop a novel theoretical perspective on causal core and periphery, which is based on how elements of a configuration are connected to outcomes. Using data on hightechnology firms, I empirically investigate configurations based...

The emergence of platforms is shifting the locus of digital innovation to ecosystems on which numerous developers create extensions with additional functionalities. Despite all the potential benefits for complementors, however, this new organizing logic of digital innovation also introduced essential new risks. Recent studies in IS focused on risk of IT projects from a contingency perspective n...

Brain tumor is most vital disease which commonly penetrates in the human beings. Studies based on brain tumor confirm that people affected by brain tumors die due to their erroneous detection. In this paper, an enhanced Fuzzy CMeans segmentation (FCM) technique is proposed for detecting brain tumor. To justify the performance of the proposed method, a comparative analysis is being carried out w...

Interval-valued fuzzy sets involve more uncertainties than ordinary fuzzy sets and can be used to capture imprecise or uncertain decision information in fields that require multiple-criteria decision analysis (MCDA). This paper takes the simple additive weighting (SAW) method and the technique for order preference by similarity to an ideal solution (TOPSIS) as the main structure to deal with in...

Fuzzy-set qualitative comparative analysis (Fs/QCA) is a social science me thod developed in order to combine case-oriented and variable-oriented quantitative analysis. It started with the creation of qualitative comparative analysis [1], with Fs/QCA later developed by applying fuzzy-set theory [2]. Although the fuzzy-set approach is still considered to be in the process of being developed [3-5...