Sung‐kwan Kim and Silvana Trimi
The purpose of the paper is to examine the underlying components of information technology (IT) that support different models of knowledge management (KM).
Abstract
Purpose
The purpose of the paper is to examine the underlying components of information technology (IT) that support different models of knowledge management (KM).
Design/methodology/approach
This empirical study is conducted in the management consulting industry to examine the important link between IT and KM. Based on previous research, four knowledge models were developed for the management consulting industry based on the knowledge type and service type. Data collected through a survey from 115 management consulting firms in the USA and Canada were analyzed.
Findings
Regardless of the type of KM model utilized, the most widely used IT by management consulting firms was the internet‐related technology (e‐mail, internet, and search engine). The second important IT component was data management technology (document management, data warehousing, data mining, knowledge repositories, and database management). The third important IT was collaborating technology (videoconferencing, workflow management, groupware, group decision support systems, and knowledge maps). The least important IT was artificial intelligence (expert systems, case‐based reasoning systems, intelligent agent, and neural network).
Originality/value
This paper develops a new topology of KM models based on the knowledge type (exploitive and explorative) and service type (standardized and customized). Thus, four KM models are developed: reuser (exploitive/standardized); stabilizer (exploitive/customized); explorer (explorative/standardized); and innovator (explorative/customized). While IT has been widely accepted as an enabler for KM, its application for a different focus of KM has not been explored.
Details
Keywords
Ramesh Kumar Vobulapuram, Javid Basha Shaik, Venkatramana P., Durga Prasad Mekala and Ujwala Lingayath
The purpose of this paper is to design novel tunnel field effect transistor (TFET) using graphene nanoribbons (GNRs).
Abstract
Purpose
The purpose of this paper is to design novel tunnel field effect transistor (TFET) using graphene nanoribbons (GNRs).
Design/methodology/approach
To design the proposed TFET, the bilayer GNRs (BLGNRs) have been used as the channel material. The BLGNR-TFET is designed in QuantumATK, depending on 2-D Poisson’s equation and non-equilibrium Green’s function (NEGF) formalism.
Findings
The performance of the proposed BLGNR-TFET is investigated in terms of current and voltage (I-V) characteristics and transconductance. Moreover, the proposed device performance is compared with the monolayer GNR-TFET (MLGNR-TFET). From the simulation results, it is investigated that the BLGNR-TFET shows high current and gain over the MLGNR-TFET.
Originality/value
This paper presents a new technique to design GNR-based TFET for future low power very large-scale integration (VLSI) devices.