Organizational readiness for implementation of Supply Chain Analytics

Supply chains today are amassed with data. To remain competitive in a global economy, supply chain organizations need to constantly derive meaningful information from this plethora of data and make critical business decisions. This process is also referred to as Supply Chain Analytics (SCA). This paper attempts to measure the readiness of organizations to implement Business Analytics – a more generic form of SCA. The results were derived from the survey analysis of 112 respondents in 7 countries from various industries and professional backgrounds. This survey analyzed organizations in four broad categories – standardized and integrated data, well-established infrastructure, sound technical and non-technical expertise and the organizational culture and strategy – and attempted to determine their readiness for implementing Analytics in the organization

Proposing A Supply Chain Analytics Reference Model As Performance Enabler

Nowadays firms have to react quickly to changing markets creating a need for accurate forecasts of demand and supply. In a data-rich environment as it is within the field of supply chain management, much information needs to be stored, processed, and transformed for decision making. To deal with the increasing amounts of data, firms must be aware of chances in supply chain management such as supply chain analytic capabilities to stay agile, flexible, and make use of (complex) data. Supply chain analytics can predict patterns and trends, even in high velocity markets in real-time supporting decision making by using supply chain analytic tools based on data. The benefits of successfully implementing supply chain analytic processes are enormous and result in competitive advantages for companies such as lowering costs while increasing revenues. As many companies fail to apply supply chain analytic processes and tools, this paper examines the challenges, benefits, and factors for the introduction of supply chain analytics using the input-output model

Systematic Literature Review “Enterprise Systems Chartering” –Review Procedure and Analysis Results

Our research follows a design science approach to develop a method that supports the initialization of ES implementation projects – the chartering phase. This project phase is highly relevant for implementation success, but is understudied in IS research. We conducted a systematic review of ES implementation literature in order to derive design principles for a chartering method. This paper contains data and the analysis results from this systematic literature review. The research activity is described in the paper “Design Principles for an Enterprise Systems Chartering Method” (Berner, Gansen & Maedche, 2015) presented at Tenth International Conference on Design Science Research in Information Systems and Technology (DESRIST 2015) in Dublin

Factors Influencing Willingness To Adopt Advanced Analytics In Small Businesses

Business analytics (BA) continues to be one of the top technology trends in recent years as well as one of the top priorities for CIO’s in many large enterprises. Business analytic tools can significantly help small businesses in quickly responding to changing market conditions and improving their organizational performance. However, prior studies report that the adoption rate of business analytics in small businesses is extremely low such that only 32 percent small businesses have adopted Business Intelligence (BI) and analytics solutions till now (SMB Group, 2018). As small businesses constitute a major force in the US economy, a slow rate of adoption of significant technological innovations, such as BA, may be a critical concern that can affect the economy in the longer run. Despite this, the extant small business literature as well as the information systems literature fails to provide an understanding of why small businesses are not receptive to current BA trends. Therefore, drawing upon the theoretical underpinnings of organizing vision theory, strategic orientation literature, and theory of upper echelon, this study investigates the willingness of small businesses to adopt newer innovations in BA. More specifically, this study investigates the impact of the reception of organizing vision of BA by owner managers, learning orientation of small businesses, analytics orientation of small businesses, and personal characteristics of owner-mangers on small businesses’ willingness to adopt BA. By drawing its motivation from prior strategic orientation and v BA literature, this study is also among the first one to propose, formally develop, and validate the measurement construct of analytics orientation