Online Real Estate Demand Chain Integration

Author(s):  
Emna Cherif

In this paper, we propose a solution for demand chain management using APIs (application programming interfaces) integration in the online real estate. We propose online real estate management system that includes advanced modules that can be bundled together, creating differentiation and enhancing the value chain. We propose a simplified implementation architecture for an integrated demand and supply chain management system for online real estate services. We use a formal specification language for specifying the functional components of the demand chain management system and interaction with real estate entities and actors. We choose an open source Customer Relationship Management system as a platform to manage some of the online real estate modules. Other value-added modules are integrated from third-party providers using their open interfaces.

Author(s):  
Emna Cherif

In this paper, we propose a solution for demand chain management using APIs (application programming interfaces) integration in the online real estate. We propose online real estate management system that includes advanced modules that can be bundled together, creating differentiation and enhancing the value chain. We propose a simplified implementation architecture for an integrated demand and supply chain management system for online real estate services. We use a formal specification language for specifying the functional components of the demand chain management system and interaction with real estate entities and actors. We choose an open source Customer Relationship Management system as a platform to manage some of the online real estate modules. Other value-added modules are integrated from third-party providers using their open interfaces.


Author(s):  
Emna Cherif

Internet is helping change the structure of the residential real estate industry by offering new services in the system aiming to enhance the facilities provided to the user. This would enhance the demand chain management. The first purpose of this paper is to illustrate these changes by specifying the functional components of the demand chain management system for online real estate. The author uses a formal specification language to model the interaction between the online real estate management system, the new entities and the other actors. The proposed online real estate management system includes advanced modules that can be bundled together, creating differentiation and enhancing the value chain. The second objective is to propose a simplified implementation architecture for an integrated demand and supply chain management system for online real estate services. The author chose an open source Customer Relationship Management system as a platform to manage some of the online real estate modules. Other value-added modules are integrated from third-party providers using their open interfaces.


Author(s):  
Merrill Warkentin ◽  
Akhilesh Bajaj

The demand side of supply chain management has drawn considerable research attention, with focus on disintermediation and syndication models. In this chapter, we evaluate new business models for establishing a continuous demand chain structure to streamline the logistics between the vendor and its direct consumers. The Continuous Demand Chain Management (CDCM) model of E-Commerce is one in which the physical products for sale are delivered directly to the customer without the use of a third party logistics provider, such as a common carrier, and in which the physical product may be continuously “pulled” from the seller. We present three submodels of CDCM. The CDCM Model A applies to business-to-consumer (B2C) online sellers of physical goods who own or control their own delivery vehicles, and may provide further services to extend the value proposition for the buyer. The online grocer is a typical example of businesses in this category. The CDCM Model B applies to business-to-business (B2B) sellers of physical goods, who also own a significant portion of their delivery fleet and deliver goods on demand to local distributors or business customers. Office supply E-Merchants provide an example of this model. The CDCM Model C applies to businesses that typically provide virtually instantaneous delivery of third party goods to consumers or businesses. Businesses in this category own or control their own delivery fleet and add value by delivering items within very short periods of time, usually one-hour delivery. In order to analyze these models, we conducted structured interviews with key senior managers of one representative business each in the CDCM Model A and Model B categories. We extensively surveyed recent literature on companies in the CDCM Model C category. We use the results of our study to analyze different aspects, such as revenue streams, cost structure, and operational peculiarities of businesses following the CDCM model and, finally, discuss the long-term viability of the sub models.


Author(s):  
Arun Kumar Deshmukh ◽  
Ashutosh Mohan

The extant body of literature on demand chain management (DCM) is predominantly conceptual and unequivocal on how to implement it in a real business setting. Keeping the research gap into account, the study aims to identify and prioritize the DCM processes or variables in the context of Indian retailing. The data were collected using survey method using a structured questionnaire with Saaty (1980) scale. The method employed for analyzing the collected data was analytical hierarchy process or AHP. The results of the study have interesting implications for the industry vis-à-vis literature. Some quick measures revealed that the processes which are critical to implementation of DCM in retail context, in the order of importance, comprises supplier relationship management, customer relationship management assortment planning, top-management commitment and support, marketing orientation, information management, supply chain leagility, customer service management, category management, purchasing management, inventory management, and category tactics.


Author(s):  
T. G. K. Vasista ◽  
A. M. AlAbdullatif

In 21st century, collaborative business supply chain environments are required to be proactive rather than reactive so that they can better deal with the uncertainty, growing competition, shorter cycle times, more demanding customers and pressure to cut costs. Demand chain management as a new business model requires investing in consumer insights and closer relationships in the supply chain to conduct predictive analysis of retail intelligent solutions. In this regard new kinds of methodologies are required to be discussed. However, at the execution level the limitations in terms of scalability, data integration and knowledge based decision support to providers or suppliers in terms of strategy building and in providing deductive inference capabilities are to be addressed. Therefore, it is required to describe how predictive analytics helps in constructing the knowledge base to conduct verification and validation in terms of semantic predictive analytic for the domain of demand chain management.


2010 ◽  
Vol 44-47 ◽  
pp. 688-692
Author(s):  
Xiao Yan Wang ◽  
Jian Sun

Bullwhip effect means the magnification of demand fluctuations, which is evident in a supply chain when demand increases and decreases, while the concept of Demand Chain Management means to make the planning on the basis of the demand side information so as to solve the problem of inconsistent upstream and downstream information by means of partner collaboration in the supply chain. Demand chain emphasizes the customer demand as its core value so as to achieve the best balance between the supply chain efficiency and customer satisfaction. Compared with the supply chain, the demand chain advises the enterprise to strengthen the information transmission ability to promote the performance. Under the demand chain management, the extent of bullwhip effect are weakened, and the fluctuation range against demand chain management is lower than against traditional supply chain.


Author(s):  
Rajeev Kumar

Organizational implementing supply chain management (SCM) has obtained improved performance. Cost savings, increased revenues and the reduction of defects in products are some of the main advantages of introducing dairy supply chain management. These are also mentioned as long-term goals of the supply chain. Business profitability is closely associated with market and business shares. Based on the long-term goals of the SCM, the organizational performance measures are identified as financial and market performance and customer satisfaction. In the context of SCM, the financial and market performance factor is operational zed in terms of market share, return of total assets, annuals sales growth (Tan et al, 1999).The research paper attempts to find out the relationship between the dairy supply chain management (DSCM) practices and organizational performance. Various practices of DSCM through extensive literature review is taken into account i.e. Information and Communication Technology Practices, Supplier Relationship Practices, Supply Chain Manufacturing Practices, Inventory management system, Warehousing Management System, Transportation Management System, Customer Relationship Management for establishing the relationship with organizational performance. The aim of this study is to recommend these findings to companies which are still at the infancy stage when it comes to dairy supply chain management and integration with customers and suppliers.


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