Using Fuzzy Delphi and Generalized Fuzzy TOPSIS to Evaluate Technological Service Flexibility Dimensions of Internet Malls

Dash, Manoj Kumar

doi:10.1007/s40171-017-0154-8

Cited by 24 publications

(15 citation statements)

References 40 publications

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“…,Lin et al (2010),Lin et al (2013),Sumrit and Anuntavoranich (2013), Zandhessami and Jalili(2014), De Blasio et al (2015), Mortazavi Ravari et al (2016) Innovation decision capabilities Woolthuis et al (2005), Akman and Yilmaz (2008), Chang and Lee (2008), Perdomo-Ortiz et al (2009), Lin et al (2010), Lin et al (2013), Xiaobo and Sivalogathasan (2013), Serrano García and Robledo Velásquez (2013) Marketing capabilities Wang et al (2008), Chang and Lee (2008), Perdomo-Ortiz et al (2009), Lin et al (2010), Yam et al (2011), Forsman (2011), Lin et al (2013), Sumrit and Anuntavoranich (2013), Xiaobo and Sivalogathasan (2013), Serrano García and Robledo Velásquez(2013),Kumar and Dash (2017a) …”

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confidence: 99%

“…,Yam et al (2011),Lin et al (2013), Zandhessami and Jalili(2014), De Blasio et al (2015) Innovation sourcing capability Burgelman et al (2004), Akman and Yilmaz (2008), Wang et al (2008), Perdomo-Ortiz et al (2009), Xiaobo and Sivalogathasan(2013),Kumar and Dash (2017a) Technology acquisition capabilityWoolthuis et al (2005),Guan et al (2006),Chang and Lee (2008), Perdomo-Ortiz et al (2009),Lin et al (2013),Sumrit and Anuntavoranich (2013),Xiaobo and Sivalogathasan (2013),Mortazavi Ravari et al (2016) …”

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confidence: 99%

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Evaluating Innovation Capabilities of Real Estate Firms: A Combined Fuzzy Delphi and Dematel Approach

Kaviani

Hafezalkotob

Zavadskas

2017

International Journal of Strategic Property Management

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Due to strong competition, numerous technology advancements and the monetary policy of the government, the survival of Indian real estate firms now depends on their capacity to measure their existing innovation capabilities, rebuild them and adopt new ones. The aim of this study is to evaluate the technology and human resources innovation capabilities of Indian real estate firms by applying fuzzy Delphi and DEMATEL techniques. After identifying the innovation capabilities through an extensive literature review, a questionnaire is designed based on fuzzy linguistic scales to manage any vagueness of information received. Data has been collected from experts in the field, with capabilities then finalized by using a fuzzy Delphi method. To establish cause-effect relationships among capabilities, a DEMATEL method is applied to the data collected from a second questionnaire. Analysis of the data divides capabilities into two groups i.e. cause and effect. The results show that innovation management, robustness of product and process design capability, strategic planning and knowledge resources fall in the cause group; these are critical findings given the effect on the other capabilities. The study outcomes can help real estate firms to enhance their capabilities with the proposed model providing guidelines and direction in this regard.

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confidence: 99%

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confidence: 99%

Evaluating Innovation Capabilities of Real Estate Firms: A Combined Fuzzy Delphi and Dematel Approach

Kaviani

Hafezalkotob

Zavadskas

2017

International Journal of Strategic Property Management

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“…Flexibility also enables a high supply chain performance [120]. Interestingly, the implementation of IS in the supply chain offers more flexibility toward the customers [121]. Among the papers examined in this study, 35% considered flexibility as a criterion for S&OP and SC integration decision.…”

Section: Flexibilitymentioning

confidence: 94%

The Integration of Extended Supply Chain with Sales and Operation Planning: A Conceptual Framework

Rokonuzzaman

2018

Logistics

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This research is an effort to present the emergence of ways to enable marketers to attain high sensitivity and visibility in the supply chain network. It also aims to facilitate better multi-criteria decisions throughout the extended supply chain. It is a qualitative study considering 31 published research articles related to supply chain integration, sales and operation planning, and the use of information systems. With a focus on narrative data, a purposive sampling technique was used to select the papers for review and to produce the results of this study. The findings of this research indicate that the sales and operation planning (S&OP) processes and the key operations in the supply chain network need to be fully integrated. The findings also indicate that information system resources are the key enabler of S&OP and supply chain integration. To be specific, this research is an exercise in theorizing a conceptual framework for optimally confronting the emerging challenges and opportunities regarding an extended supply chain and is intended to bring the proficiency of multi-criteria decisions and actions in the entire supply chain network.

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“…In general, multi criteria decision-making (MCDM) is used to evaluate the problems which involves prioritization among a finite number of alternatives (Kumar and Dash, 2017;Mardani et al, 2015;Yang and Tzeng, 2011;Cheng et al, 2005). In this scenario, MCDM techniques provide the ranking of different alternatives and the best alternatives be always recommended as the best solution to the decision makers (Wang et al, 2009).…”

Section: Methodsmentioning

confidence: 99%

“…Prioritization of risk involves the multiple conflicting criteria with finite set of alternatives (Wang et al, 2009). Different MCDM technique such as analytic hierarchy process (AHP) (Khatwani and Kar, 2017;Zeshui and Cuiping, 1999), analytic network process (ANP) (Jharkharia and Shankar, 2007;Cheng et al, 2005), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) (Kumar and Dash, 2017;Kermani et al, 2016), ELimination and Choice Expressing REality (ELECTRE) (Shojaie et al, 2018;Ergazakis et al, 2011), Preference Ranking Organization METHod for Enrichment of Evaluations (PROMETHEE) (Senthil et al, 2018;Mardani et al, 2015) and VIKOR (Wan et al, 2013;Mardani et al, 2015) has been applied in prioritization problems.…”

Section: Methodsmentioning

confidence: 99%

When the mobile app is free, the product is your personal data

Polykalas

Prezerakos

2019

DPRG

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Purpose-Mobile devices (smartphones, tables etc.) have become the de facto means of accessing the internet. While traditional Web browsing is still quite popular, significant interaction takes place via native mobile apps that can be downloaded either freely or at a cost. This has opened the door to a number of issues related to privacy protection since the smartphone stores and processes personal data. The purpose of this paper is to examine the extent of access to personal data, required by the most popular mobile apps available in Google Play store. In addition, it is examined whether the relevant procedure is in accordance with the provisions of the new EU Regulation. Design/methodology/approach-The paper examines more than a thousand mobile apps, available from the Google Play store, with respect to the extent of the requests for access to personal data. In particular, for each available category in Google Play store, the most popular mobile apps have been examined both for free and paid apps. In addition, the permissions required by free and paid mobile apps are compared. Furthermore, a correlation analysis is carried out aiming to reveal any correlation between the extent of required access to personal data and the popularity and the rating of each mobile app. Findings-The findings of this paper suggest that the majority of examined mobile apps require access to personal data to a high extent. In addition, it is found that free mobile apps request access to personal data in a higher extent compared to the relevant requests by paid apps, which indicates strongly that the business model of free mobile apps is based on personal data exploitation. The most popular types of access permissions are revealed for both free and paid apps. In addition, important questions are raised in relation to user awareness and behavior, data minimization and purpose limitation for free and paid mobile apps. Originality/value-In this study, the process and the extent of access to personal data through mobile apps are analyzed. Although several studies analyzed relevant issues in the past, the originality of this research is mainly based on the following facts: first, this work took into account the recent Regulation of the EU in relation to personal data (GDPR); second, the authors analyzed a high number of the most popular mobile apps (more than a thousand); and third, the authors compare and analyze the different approaches followed between free and paid mobile apps.

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Using Fuzzy Delphi and Generalized Fuzzy TOPSIS to Evaluate Technological Service Flexibility Dimensions of Internet Malls

Cited by 24 publications

References 40 publications

Evaluating Innovation Capabilities of Real Estate Firms: A Combined Fuzzy Delphi and Dematel Approach

Evaluating Innovation Capabilities of Real Estate Firms: A Combined Fuzzy Delphi and Dematel Approach

The Integration of Extended Supply Chain with Sales and Operation Planning: A Conceptual Framework

When the mobile app is free, the product is your personal data

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