Diffusion of innovation: customer relationship management adoption in supply chain organizations

The successful diffusion of innovations in rapidly changing supply chain technological environments is essential to support operations and supply chain management functions. In this paper we conceptualize and develop a framework for research into the diffusion of innovations in organizations pertaining to software adoption in supply chain management. Incorporating Task-Technology Fit theory with a network externalities model, we develop a novel approach in customer relations management (CRM) software adoption. An empirical study using Partial Least Squares (PLS) on data from US supply chain managers is utilized to confirm the usability of the proposed framework as well as confirming the efficacy of the proposed combined methodological approach suggested in this paper. The results also show the direct and indirect network externalities of system quality, ease of use, system reliability, and authority can moderate the CRM adoption relationship in organizations, suggesting the possibility that other moderating network externality variables may impact CRM adoption

A Multi-Criteria Model for Corporate Property Evaluation

A critical concern for corporations pursuing geographical expansion strategies involves property evaluation. In order for expansion to be successful, corporations must identify cities and properties that offer a good fit with the firm's corporate strategy. Unfortunately, little has been written to aid corporations in making complex property selection decisions. This paper presents a model that combines the concepts of strategic management, the management science technique of goal programming, and micro computer technology to provide managers with a more effective and efficient method for evaluation property and making selection decisions.

Operations Research Methodology Life Cycle Trend Phases as Recorded in Journal Articles

This paper applies life cycle concepts to forecast and explore trends in the publication rates of operations research (OR) methodology journal articles. The confirmatory part of this study seeks to show the accuracy of life cycles to forecast a trend for a single OR methodology. The exploratory part of this study extends the use of life cycle forecasting to a broader collection of OR methodologies. This part of the study entails a collection of keywords for OR methodologies from over 8,000 journal articles. The results show a life cycle can be used to forecast a trend in OR journal article methodology productivity based on keyword listings. This paper also reveals trends in methodology usage for leading OR journals in Europe and the US. The existence and use of life cycle trends in the OR methodology research have ramifications on new directions for research, research funding, and OR text¬book content

Pandemic drug rationing model: Nebraska state government case study

The avian influenza-A (bird flu) is fatally active today and could mutate into a serious pandemic at any time. Countries are developing and updating strategies to cope with potential outbreaks of pandemics. The avian influenza-A outbreak that occurred between 2000 and 2010 possessed the greatest deadly threat since the Black Plague of Europe. The US Federal Government\u27s response to the avian influenza-A involved providing a limited ration of vaccine doses to state governments that would then decide how best to ration allocations. This paper presents an actual case study where an integer linear programming model was developed for the state of Nebraska to solve its rationing of antiviral drugs to regional medical departments for ex-ante (before event) and medias res (middle of the event) decision purposes. The capabilities of the modelling approach provide a unique contribution to the literature and are applicable to any kind of pandemic rationing effort

Value analysis planning with goal programming

This paper presents a model to support planning decisions in the engineering methodology referred to as value analysis. A goal programming model incorporating elements of critical path method and concurrent engineering is proposed as a means to augment the planning of value analysis projects. The modeling approach builds and extends prior goal programming research by uniquely incorporating both timing and cost information to ease modeling complexity and reveal scheduling resource tradeoffs. An illustrative example is presented to demonstrate the modeling approach informational efficacy

Topics in just-in-time management/ Schniederjans

viii, 309 hal.: ill.; 25 cm

Diffusion of innovation: customer relationship management adoption in supply chain organizations

The successful diffusion of innovations in rapidly changing supply chain technological environments is essential to support operations and supply chain management functions. In this paper we conceptualize and develop a framework for research into the diffusion of innovations in organizations pertaining to software adoption in supply chain management. Incorporating Task-Technology Fit theory with a network externalities model, we develop a novel approach in customer relations management (CRM) software adoption. An empirical study using Partial Least Squares (PLS) on data from US supply chain managers is utilized to confirm the usability of the proposed framework as well as confirming the efficacy of the proposed combined methodological approach suggested in this paper. The results also show the direct and indirect network externalities of system quality, ease of use, system reliability, and authority can moderate the CRM adoption relationship in organizations, suggesting the possibility that other moderating network externality variables may impact CRM adoption