Motives and Barriers to Cloud ERP Selection for SMEs: A Survey of Value Added Resellers (VAR) Perspectives

Small to Mid-size Enterprises (SMEs) typically are slow/late to adopt new technologies due to a conservative bias, cost factors and possible lack of knowledge. Implementation of a new Enterprise Resource Planning (ERP) system is a major, costly undertaking for a company of any size, especially SMEs, but there is the potential for huge paybacks touted by advantages afforded by the cloud. Cloud based ERP technology for SMEs is relatively new and poses a potential large risk-reward payoff. Given that these SMEs are currently functioning with their existing systems, why would they want to risk switching to Bleeding Edge Cloud ERP technology? Prior ERP research has focused primarily on an ERP’s implementation success and the relevant critical success factors (CSFs) important throughout the various stages of an ERP’s lifecycle. The focus of these studies has been on post-selection variables and the success or failure of the ERP’s adoption or implementation. Inherent in these studies are firms who already selected ERP technology which provides no insight into any potential barriers that prevent selection. ERP research in the area of SME cloud/SaaS ERP systems is nascent. This paper adds methodological, empirical and theoretical contributions to this existing stream of research about the motives and barriers in the selection of cloud ERP systems for SME’s. In particular, this research paper proposes to help bridge these gaps by operationalizing and testing Saeed, Juell-Skielse, and Uppström (2012)’s Unified Framework (UF) of the motives and barriers to the selection of cloud ERP systems. This current study uses Value Added Resellers (VARs) as subjects. They are arguably the most knowledgeable and in the best position to assess both the motives and more importantly barriers since there are in direct contact with the cloud ERP prospective purchasers

System and circuitry to provide stable transconductance for biasing

An amplifier system can include an input amplifier configured to receive an analog input signal and provide an amplified signal corresponding to the analog input signal. A tracking loop is configured to employ delta modulation for tracking the amplified signal, the tracking loop providing a corresponding output signal. A biasing circuit is configured to adjust a bias current to maintain stable transconductance over temperature variations, the biasing circuit providing at least one bias signal for biasing at least one of the input amplifier and the tracking loop, whereby the circuitry receiving the at least one bias signal exhibits stable performance over the temperature variations. In another embodiment the biasing circuit can be utilized in other applications

Wireless sensor platform for harsh environments

Reliable and efficient sensing becomes increasingly difficult in harsher environments. A sensing module for high-temperature conditions utilizes a digital, rather than analog, implementation on a wireless platform to achieve good quality data transmission. The module comprises a sensor, integrated circuit, and antenna. The integrated circuit includes an amplifier, A/D converter, decimation filter, and digital transmitter. To operate, an analog signal is received by the sensor, amplified by the amplifier, converted into a digital signal by the A/D converter, filtered by the decimation filter to address the quantization error, and output in digital format by the digital transmitter and antenna