Evaluating and selecting e-commerce software and communication systems for a supply chain

Sarkis, Joseph; Talluri, Srinivas

doi:10.1016/j.ejor.2003.08.018

Cited by 113 publications

(56 citation statements)

References 16 publications

(17 reference statements)

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“…In this process the numbers 1 to 9 are applied as a standard scale to determine the importance of the options (from equal importance to extremely high importance). In a paired comparison matrix, 9 indicates extremely high importance of an option compared to other and 1.9 indicates that an option is extremely low important compared to other while 1 shows equal importance [22] [23]. So, if the importance of first factor to the second factor gained the importance of the second factor to the first factor will be reciprocal (Table 1).…”

Section: Determining the Importance Of Criteria And Sub-criteriamentioning

confidence: 99%

Locating of Wind Power Farms by Analytic Hierarchy Process Method (Case Study: Sistan and Baluchistan Province, Iran)

Asadi¹,

Karami²

2017

CWEEE

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Limitation of fossil energy reserves in the world and increasing level of energy consumption, have always challenged human to replace new energy sources. Meanwhile, wind power as one of the new aspects of energy is of a special place. Due to the topography of the Sistan and Baluchistan province and its relative position, it is one of the best places to build wind farms. The aim of this study was to determine suitable locations for the construction of wind farms in the province. The following criteria were considered for various standards and due to the importance of data integration, Analytic Hierarchy Process (AHP) method was selected and implemented to weight the layer through Expert choice software. ArcGIS was used for layers spatial analysis and overlapping. After data analysis, the studied region, in terms of the susceptibility to build wind farms, was divided into four levels: excellent, good, fair, weak. Results indicated that GIS as a supportive and decision making system is helpful preparing data and modeling priorities and experts comments regarding various factors and help designers selecting a suitable place to build wind farms. In this study, we determined three priorities for the construction of wind farms, taking into account the limited overlap and conformity of limitations map and locating, the area of prioritized region, climate and the field observations; the priority order is excellent, good, average, including Zabol, central regions in Zabol and Chabahar.

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Section: Determining the Importance Of Criteria And Sub-criteriamentioning

confidence: 99%

Locating of Wind Power Farms by Analytic Hierarchy Process Method (Case Study: Sistan and Baluchistan Province, Iran)

Asadi¹,

Karami²

2017

CWEEE

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“… Compliance with company standards 17,38,[41][42][43][44][45] : Standardization of information technology applications in a global company with wide range of products in several locations is crucial. Small isolated solutions of applications result in total disorder in reporting, integration of applications and vast amount of investments can be made reinventing the wheel in each region.…”

Section: Km Tool Evaluation Criteriamentioning

confidence: 99%

“…The KM tool evaluation criteria have been identified after a careful study of literature, 16,17,[38][39][40][41][42][43][44][45][46][47] examination of commercial vendor surveys, public product briefings and demos. Then, these criteria verified with external professional experts (KM consultants and vendors themselves) to ensure all criteria were well formulated and properly understood and a generic evaluation criteria list is determined.…”

Section: Km Tool Evaluation Criteriamentioning

confidence: 99%

Fuzzy Multi-Criteria Evaluation of Knowledge Management Tools

Büyüközkan¹,

Feyzıog̃lu²,

Çifçi³

2011

IJCIS

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In the knowledge economy, a key source of sustainable competitive advantage relies on the way to create, share, and utilize knowledge. Knowledge Management (KM) tools assumed an important role in supporting KM activities. The objective of this paper is to aid decision makers to identify the most appropriate KM tool to improve the effectiveness of their organization. In order to rate competing systems of different vendors, we propose an enhanced multi-criteria method, namely fuzzy VIKOR, that takes advantages of fuzzy logic and group decision making to deal with the vagueness and granularity in the linguistic assessments. The method aims to isolate compromise solutions, by providing a maximum group utility and a minimum of an individual regret. A case study is also given to demonstrate the potential of the methodology.

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“…The analytic hierarchy process (AHP) was widely used by both researchers and practitioners in COTS selection processes [8][9][10][11][12][13]. Lai et al [8] reported the results of a case study where the AHP technique was employed to support the selection of a multimedia authorizing system (MAS) in a group decision environment.…”

Section: Introductionmentioning

confidence: 99%

“…Sarkis and Talluri [9] presented a decision framework that could aid members of the supply chain and a supply chain director in deciding which electronic commerce technology media and software is most suitable for the whole supply chain. The techniques used in this approach included both qualitative and quantitative measurements for the evaluation or justification of these systems.…”

Section: Introductionmentioning

confidence: 99%

Software Selection in Manufacturing Industries Using a Fuzzy Multiple Criteria Decision Making Method, PROMETHEE

Rao¹,

Rajesh²

2009

IIM

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This paper presents an effective decision making framework for software selection in manufacturing industries using a multiple criteria decision making method, Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE). The method is improved in the present work by integrating with analytic hierarchy process (AHP) and the fuzzy logic. Fuzzy logic is introduced to handle the imprecision of the human decision making process. The proposed decision making framework is practical for ranking competing software products in terms of their overall performance with respect to multiple criteria. An example is included to illustrate the approach.

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Evaluating and selecting e-commerce software and communication systems for a supply chain

Cited by 113 publications

References 16 publications

Locating of Wind Power Farms by Analytic Hierarchy Process Method (Case Study: Sistan and Baluchistan Province, Iran)

Locating of Wind Power Farms by Analytic Hierarchy Process Method (Case Study: Sistan and Baluchistan Province, Iran)

Fuzzy Multi-Criteria Evaluation of Knowledge Management Tools

Software Selection in Manufacturing Industries Using a Fuzzy Multiple Criteria Decision Making Method, PROMETHEE

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