The enhanced quality function deployment for developing virtual items in massive multiplayer online role playing games

Li, S. G.; Kuo, Xin

doi:10.1016/j.cie.2007.06.006

Cited by 16 publications

(7 citation statements)

References 20 publications

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“…Facebook and Myspace have implemented their own micro transaction payment platforms, hi5 introduced its own virtual currency, and systems such as habbo hotel and Tencent offer several direct micro payment methods for purchasing virtual products and services [9,79]. The complexities [81] and idiosyncratic properties [50] of each virtual world have led most prior studies to focus on a single virtual world.…”

Section: Background Virtual Worlds and Virtual Productsmentioning

confidence: 99%

Gifting and Status in Virtual Worlds

Goode

Shailer

Wilson

et al. 2014

Journal of Management Information Systems

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Poland. his main research interests in social networks and information diffusion are backed with a practical background in the field of Web system development.abStract: While profitable business models elude many virtual worlds, sales of virtual products are a potentially lucrative source of revenue. One new addition to this strategy is virtual gifting, whereby users purchase virtual products to give to other users. The monetary value of such virtual good transactions is economically significant but no prior study has examined this phenomenon in a strictly virtual context. We apply theory from the economics literature to examine gifting behavior in a virtual world in which users' social status is reflected in observable social connections (friendships) and interactions (personal messages). We find strong evidence that gifting is associated with future enhancements of the gift giver's social status, consistent with a social status-seeking motivation, thus confirming a theorized behavior that is difficult to study in the real world. Our study has implications for system proprietors and managers because we show that gift giving increases system use continuance. We identify various antecedents of gift giving, which may assist a manager in identifying users who are most inclined to give gifts and enable the manager to signal the social exchange benefits to users as a way of improving their social connections.key WordS and phraSeS: gift economy, MMOg, status in virtual worlds, virtual gifts, virtual worlds.

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Section: Background Virtual Worlds and Virtual Productsmentioning

confidence: 99%

Gifting and Status in Virtual Worlds

Goode

Shailer

Wilson

et al. 2014

Journal of Management Information Systems

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“…The main purpose of QFD is to achieve a higher level of customer satisfaction on the basis of CNs (Wang, 2012). a number of studies focus on the impact of CNs accuracy on the process of finding the priority of PRs or similar sets of elements (Asadabadi, 2016;Enriquez, Osuna, & Bosch, 2004;Hsu & Lin, 2006;Li & Kuo, 2007;Okur, Nasibov, Kiliç, & Yavuz, 2009;Raharjo, Brombacher, & Xie, 2006, 2008Raharjo, Xie, & Brombacher, 2011;Sharma & Rawani, 2007;Wang & Chin, 2011;Wu, Liao, & Wang, 2005). To deal with CN prioritization, Enriquez et al (2004) inner dependencies dependencies elements apply a devised method, Wu et al (2005) utilize the grey theory, Hsu et al (2006) examine using the means-end theory, Raharjo et al (2006) combine zero-one goal programming and a loss function, Li and Kuo (2007) adopt the genetic chaotic neural network technique, Sharma and Rawani (2007) use the weighted average method, Raharjo et al (2008) propose a generic network model, Okur et al (2009) apply the ordered weighted averaging technique, Wang and Chin (2011) apply linear goal programming (where customers are expressing their preference in different scales), and Asadabadi (2016) applies a Markov chain to find a pattern for CNs.…”

Section: Customer Needs In Qfdmentioning

confidence: 99%

A customer based supplier selection process that combines quality function deployment, the analytic network process and a Markov chain

Asadabadi

2017

European Journal of Operational Research

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The overall objective of this paper is to introduce a customer oriented supplier selection method. Although the supplier selection problem has previously been investigated, an effective solution to consider the dynamics of Customer Needs (CNs) in finding the best supplier has not yet been proposed. Such a method takes into account customer needs as a determinant factor in finding the best supplier and considers possible changes in the priorities of customer needs as time passes. In this study a method integrating the analytic network process (ANP), quality function deployment (QFD), and a Markov chain is used to address the supplier selection problem. This proposed method utilizes a Markov chain to trace the changing-priorities of customer needs and find a pattern for them. The ANP-QFD method then connects this pattern to product requirements (PRs) and PRs to supplier qualifications. This combination develops a customer based supplier selection method. The best supplier is selected based on the changing-priorities of customer needs. Although the customer needs priorities keeps changing, one supplier is selected as the best one. This study introduces an innovative customer based approach to select the best supplier that is independent of initial CNs.

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“…Buyukozkan et al (2007) also used triangular fuzzy numbers in designing house of quality model. Li & Kuo (2007) adopted the genetic chaotic neural network (GCNN) technique to identify customer's needs and their priorities and proposed the enhanced QFD. Lee et al (2008) utilized the fuzzy and Kano models simultaneously to determine the relationship between customer requirements and technical characteristics.…”

Section: Introductionmentioning

confidence: 99%

A Proposed Decision Support System for Location Selection Using Fuzzy Quality Function Deployment

Tavakkoli–Moghaddam¹,

Amin²,

Zhang³

2010

Decision Support Systems Advances In

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Decision Support Systems, Advances in 188 overcome the uncertainty in human's judgments. Finally, an illustrative example is conducted to show the phases of location selection. In this example, eight potential alternatives (locations) are assessed in the first phase in order to select three alternatives. Then, fuzzy QFD is applied to select the best location. The implementation of the proposed model is easy and does not need any optimization background. This chapter is organized as follows. Section 2 gives a literature review. Section 3 presents a description for the fuzzy sets theory. Section 4 describes the problem. Then, the proposed model is presented in Section 5. Furthermore, an illustrative example is given in Section 6. Finally, conclusions are provided in Section 7. 2. Literature review Location selection is a multi-criteria decision making (MCDM) problem that includes both qualitative and quantitative metrics. In this section, a literature review is presented in two sections, called location selection and quality function deployment (QFD). 2.1 Location selection In this section, we imply on the papers of location selection using MCDM techniques. Tzeng & Chen (1999) proposed a location model based on a fuzzy multi-objective approach. This model helps in determining the optimal number and sites of fire stations at an international airport, and also determining the best location. Chen (2001) used triangular fuzzy numbers to select the best distribution location. Furthermore, he proposed a stepwise ranking procedure to rank fuzzy numbers. Kuo et al. (2002) proposed an algorithm for determining the location of a store. The model is based on fuzzy analytical hierarchy process (AHP). Kahraman et al. (2003) solved facility location problems using different solutions of fuzzy multi-attribute group decision-making. They compared four fuzzy models. Chou et al. (2008) presented a fuzzy multi-criteria decision making (FMCDM) model for location selection of the international tourist hotel based on triangular fuzzy numbers. Furthermore, they categorized hotels criteria as a hierarchy. Guneri et al. (2009) used the analytic network process (ANP) to select the best location. However, in all of these models the relationship between product characteristics and location criteria is ignored. QFD is a unique tool that can overcome this drawback. 2.2. QFD Quality function deployment (QFD) has been widely used for numerous years. It was originated in Japan in 1970s and became increasingly popular in the western world in the 1980s (Houser & Clausing, 1988). In general, it is used by many companies because of three reasons: (1) it saves design and development time, (2) it focuses on the satisfaction of customer, and (3) it improves communication at all levels of the organization (Myint, 2003). Although QFD has a lot of advantages, it also has some drawbacks, such as the amount of time required to implement QFD, and the qualitative and subjective decision-making process (Cohen, 1995; Bouchereau & Rowlands, 2000). Because of the l...

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The enhanced quality function deployment for developing virtual items in massive multiplayer online role playing games

Cited by 16 publications

References 20 publications

Gifting and Status in Virtual Worlds

Gifting and Status in Virtual Worlds

A customer based supplier selection process that combines quality function deployment, the analytic network process and a Markov chain

A Proposed Decision Support System for Location Selection Using Fuzzy Quality Function Deployment

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