(3.227.208.0) 您好!臺灣時間:2021/04/18 14:05
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果

詳目顯示:::

我願授權國圖
: 
twitterline
研究生:楊依依
研究生(外文):Yi-yi Yang
論文名稱:行動購物服務關鍵服務品質要素確認與創新
論文名稱(外文):Identification and Innovative Creation for Key Mobile Shopping Service Quality Factors
指導教授:陳隆昇陳隆昇引用關係
指導教授(外文):Long-sheng Chen
學位類別:碩士
校院名稱:朝陽科技大學
系所名稱:資訊管理系碩士班
學門:電算機學門
學類:電算機一般學類
論文種類:學術論文
論文出版年:2012
畢業學年度:100
語文別:中文
論文頁數:135
中文關鍵詞:創意問題解決理論決策樹特徵選取行動購物網站服務品質物質-場狩野模型
外文關鍵詞:Mobile ShoppingWebsite E-Service QualityTRIZDecision TreeFeature SelectionSubstance-Field AnalysisKano Model
相關次數:
  • 被引用被引用:2
  • 點閱點閱:436
  • 評分評分:系統版面圖檔系統版面圖檔系統版面圖檔系統版面圖檔系統版面圖檔
  • 下載下載:24
  • 收藏至我的研究室書目清單書目收藏:2
近年來科技與資訊的快速發展下,使用平板電腦、智慧型手機、PDA等可攜式的行動裝置漸成流行,加上全球無線通訊的普及化,促使行動購物(Mobile-Shopping)電子商務中的成為主流的消費行為。除了面對競爭的市場外,消費者意識高度抬頭,使得越來越多服務提供者開始注重網站服務品質。本研究回顧過去線上與行動購物服務品質的相關文獻,發現主要的研究集中在:(1)消費者行為意圖;(2)文獻歸納法;(3)網站購物流程。由於彙整出多項特徵,不易找出關於行動購物品質的關鍵因素,加上傳統特徵選取在挑選相關屬性,基於最大化整體準確率假設,且須藉由專家背景知識來協助取得重要特徵。因此,本研究提出一個IS-DT特徵選取(Feature Selection)方法,結合重要度-滿意度模式(Importance-Satisfaction Model, I-S model)作為決策樹(Decision Tree, DT)的專家背景知識,挑選出最佳的行動購物服務品質的關鍵因素。最後,依據IS-DT方法所找出的關鍵因素,應用創意問題解決理論(Theoria Resheneyva Isobretatelskehuh Zadach, TRIZ)解決消費者抱怨並產生創新行動購物服務,然後以狩野模型(Kano Model)瞭解消費者對於創新行動購物服務的認知需求,進而提供行動服務業者開創新服務方案之參考依據。
With the rapid development of information and communication technology and the well constructed wireless network environment, mobile shopping has become one of major consumer behaviors in e-commerce. Except facing the competitive market and the awakening of consumer consciousness, more and more service providers begin to emphasize the service qualities of websites. This study reviewed historic literatures regarding service quality of mobile shopping. We found the major research topics focus on three groups. They are (1) customer behaviors intentions; (2) literature induction; (3) the purchase process of online shopping. These works presented too characteristics to identify the critical factors for mobile shopping. In addition, traditional feature selection methods tend to select factors based on the assumption of maximizing the overall classification accuracy. Moreover, these feature selection methods need domain knowledge which is hard to be obtained from experts to assist them to select important features. Therefore, this work aims to propose a new method called IS-DT method which combined Importance-Satisfaction (IS) model and decision tree (DT) to extract useful factors in mobile shopping. Finally, based on the extracted important factors by IS-DT method, we’ll apply TRIZ (Theoria Resheneyva Isobretatelskehuh Zadach) to resolve consumers’ complaints and create new mobile shopping services. Then, we employ Kano Model to understand consumers’ cognitive requirements of the developed new mobile shopping services. The results can provide useful references for mobile service provider to initiate new services.
目錄
摘要 I
Abstract II
誌謝 III
目錄 IV
表目錄 VII
圖目錄 IX
第一章 緒論 1
1.1 研究背景 1
1.2 研究動機 5
1.3 研究目的 7
1.4 研究內容與架構 8
第二章 文獻探討 10
2.1 行動購物服務品質 10
2.2 消費者需求分析 16
2.2.1重要度-滿意度模型 16
2.2.2 狩野模式 21
2.3 特徵選取 25
2.4 創新服務 28
2.4.1創新服務發展 28
2.4.2創新發明問題解決理論 30
第三章 研究方法 35
3.1 研究流程 35
3.2第一階段-特徵選取 38
3.2.1 I-S Model之研究流程 38
3.2.2 決策樹方法之研究流程 41
3.2.3 特徵選取方法之研究流程 43
3.3 第二階段-創新服務 45
3.3.1 TRIZ方法之研究流程 45
3.3.2 Kano Model之研究流程 48
第四章 實驗與分析 50
4.1定義行動購物服務品質要素 50
4.2 第一階段問卷施測 53
4.2.1第一階段問卷之設計 53
4.2.2前測問卷之修正 55
4.2.3問卷回收與敘述性研究 56
4.3 I-S模式歸類 61
4.3.1 I-S模式歸類-以重要度與滿意度分析 62
4.3.2 I-S模式歸類-以交叉分析之結果 65
4.4 基於決策樹之特徵選取 71
4.5 基於物質-場與76標準解之創新服務 83
4.6 第二階段問卷施測 92
4.6.1第二階段問卷之設計 92
4.6.2問卷回收與敘述性研究 94
4.7 Kano調查結果 100
4.7.1 Kano模式分析 100
4.7.2 Kano模式分析-以交叉分析之結果 102
第五章 結論 107
5.1 結論 107
5.2 限制與未來研究方向 109
參考文獻 111
附錄一 第一階段問卷 121
附錄二 第二階段問卷 130


表目錄
表1-1 行動購物之相關定義 3
表1-2 行動商務與量表之近年發展 5
表2-1 EC與MC的服務品質因素 11
表2-2 I-S Model相關應用 20
表2-3 Kano Model相關應用 24
表2-4 決策樹在特徵選取相關應用 26
表2-5 TRIZ相關應用 31
表2-6 Su-Field線條形式代表意義 32
表2-7 76個標準解方法 32
表3-1 Kano二維模式品質要素分類表 49
表4-1 行動商務服務品質定義表 50
表4-2 第一階段問卷之問項 54
表4-3受訪者基本資料統計 57
表 4-4 受訪者行動購物相關資料統計 58
表4-5 行動購物品質屬性所座落之I-S Model區域 62
表4-6 針對問卷項目的重要度與滿意度模式分析 64
表4-7交叉分析之結果 69
表4-8 滿意度準確選取之特徵 71
表4-9 忠誠度準確選取之特徵 73
表4-10決策樹分類衡量之最佳特徵使用準確表 74
表 4-11 滿意度比較方法 77
表 4-12 忠誠度比較方法 78
表 4-13 滿意度之特徵選取 80
表 4-14 忠誠度之特徵選取 81
表 4-15 抱怨資料相關介紹 83
表 4-16 抱怨類別與主因 84
表 4-17 抱怨問題之解決方案 86
表 4-18 第二階段問卷之問項 93
表 4-19受訪者基本資料統計 94
表 4-20 受訪者行動購物消費概況統計 96
表 4-21 Kano二維要素分類 100
表 4-22 Kano交叉分析之結果 105


圖目錄
圖1-1 行動搜尋調查 2
圖1-2 預估美國行動購物銷售額 3
圖1-3 研究架構圖 9
圖2-1重要度-績效分析模型 16
圖2-2 I-S Model 18
圖2-3 激勵-保健因子理論 21
圖 2-4 Kano Model 22
圖 2-5階段關卡式的NSD模型 29
圖2-6 Su-Field三角模型 31
圖2-7 物質-場分析使用76標準解流程圖 34
圖3-1 研究流程圖 37
圖3-2 I-S Model之研究流程圖 39
圖3-3 I-S Model之應用流程圖 40
圖3-4決策樹模型建構流程圖 42
圖3-5特徵選取流程圖 44
圖3-6 Su-Field有效且完整的系統模型 45
圖3-7物質-場與76標準解流程圖 47
圖3-8 Kano Model流程圖 49
圖4-1 抱怨網站截圖 83
參考文獻
[1]李逢嘉(2010),特徵選取為基礎之複合分類預測模式以信用資料為例,博士論文,國立清華大學工業工程與管理研究所,新竹縣。
[2]曾憲雄、蔡秀滿、蘇東興、曾秋蓉、王慶堯著(2006),資料探勘(Data Mining),旗標出版股份有限公司,台北市。
[3]施文琇(2011),結合Kano模式強化重要度-績效分析於品質改善:以某餐飲業為例,碩士論文,私立輔仁大學經營管理研究所,新北市。
[4]楊錦洲(2002),顧客需求與滿意度調查,台灣檢驗科技,中華民國品質學會高雄市分會。
[5]楊錦洲(2009),服務品質:從學理到應用,華泰文化出版,台北市。
[6]Alam, I. and Perry, C.(2002), “A customer-oriented new service development process,” Journal of Services Marketing, vol. 16, no. 6, pp. 515-534.
[7]Alkibsi, S. and Lind, M.(2011), “Service quality dimensions within technology-based banking services,” International Journal of Strategic Information Technology and Applications, vol. 2, no. 3, pp. 36-83.
[8]Al-Mushasha, N. F. and Hassan, S.(2009), “A model for mobile learning service quality in university environment,” International Journal of Mobile Computing and Multimedia, vol. 1, no. 1, pp. 70-91.
[9]Anderson, R.E. and Srinivasan, S.S.(2003), “E-satisfaction and E-loyalty: A contingency framework,” Psychology and Marketing, vol. 20, no. 2, pp. 123-138.
[10]Baki, B., Basfirinci, C.S., Cilingir. Z., and AR, I., M.(2009), “An application ofintegrating SERVQUAL and Kano''s model into QFD for logistics services: A case study from Turkey,” Asia Pacific Journal of Marketing and Logistics, vol. 21, no.1, pp.106-126.
[11]Bauer, H.H., Falk, T., and Hammerschmidt, M.(2006), “ETransQual: A transaction process-based approach for capturing service quality in online shopping,” Journal of Business Research, vol. 59, no. 7, pp. 866-875.
[12]BIA/Kelsey(2012), http://www.biakelsey.com/
[13]Brown, J.J., Churchill, G.A., and Peter, J.P.(1993), “Research note: improving themeasurement of service quality,” Journal of Retailing, vol. 66, no.1, pp. 126-139.
[14]Carlson, J. and O''Cass, A.(2011), “Developing a framework for understanding e-service quality, its antecedents, consequences, and mediators,” Managing Service Quality, vol. 21, no. 3, pp. 264-286.
[15]Chang, C.L. and C.H. Chen(2009), “Applying decision tree and neural network to increase quality of dermatologic diagnosis,” Expert Systems with Applications, vol. 36, no. 2, pp. 4035-4041.
[16]Chang, H. and Chen, S.(2008), “The impact of customer interface quality, satisfaction and switching costs on e-loyalty: Internet experience as a moderator,” Computers in Human Behavior, vol. 24, no. 6, pp. 2927-2944.
[17]Chang, K.C. and Chen, M.C.(2011), “Applying the Kano model and QFD to explore customers'' brand contacts in the hotel business: A study of a hot spring hotel,” Total Quality Management & Business Excellence, vol. 22, no. 1, pp. 1-27.
[18]Chen, K. Y., Chen, L. S. Chen, M. C., and Lee, C. L.(2011), “Using SVM based method for equipment fault detection in a thermal power plant,” Computers in Industry, vol. 62, no. 1, pp. 42-50.
[19]Chen, L.F.(2012), “A novel approach to regression analysis for the classification of quality attributes in the Kano model: an empirical test in the food and beverage industry,” Omega, vol. 40, no. 5, pp. 651-659.
[20]Chen, L.S., Liu, C.H., Hsu, C.C., and Lin, C.S.(2010), “C-Kano Model: A new approach for discovering attractive quality elements,” Total Quality Management and Business Excellence, vol. 21, no. 11, pp. 1189-1214.
[21]Chen, R., Li, Z., and Chu, C.H.(2011), “Toward service innovation: An investigation of the business potential of mobile video services in China,” Journal of Technology Management in China, vol. 6, no. 3, pp. 216-231.
[22]Chen, X.(2010), “The applications of mobile payment,” Communications in Computer and Information Science, vol. 66, no. 10, pp. 62-67.
[23]Cho, J.H. and Kurup, P.U.(2011), “Decision tree approach for classification and dimensionality reduction of electronic nose data,” Sensors and Actuators B, vol. 160, pp. 542-548.
[24]Chou, P.H., Li, P.H., Chen, K.K., and Wu, M.J.(2010), “Integrating web mining and neural network for personalized e-commerce automatic service,” Expert Systems with Applications, vol. 37, no. 4, pp. 2898-2910.
[25]Chuang, L.Y., Tsai, S.W., and Yang, C.H.(2011), “Improved binary particle swarm optimization using catfish effect for feature selection,” Expert Systems with Applications, vol. 38, no. 10, pp. 12699-12707.
[26]Cooper, R.G.(2000), “Product leadership: Creating and launching superior new Products,” perseus Books, Cambridge.
[27]Dębska B. and Guzowska-Świder B.(2011), “Decision trees in selection of featured determined food quality,” PolandAnalytica Chimica Acta, vol. 705, no. 1-2, pp. 261-271.
[28]Deng, Z., Lu, Y., Wei, K. K., and Zhang, J.(2010), “Understanding customer satisfaction and loyalty: An empirical study of mobileinstant messages in China,” International Journal of Information Management, vol. 30, no. 4, pp. 289-300.
[29]Devasenapati, S.B., Sugumaran V., and Ramachandran, K.I.(2010), “Misfire identification in a four-stroke four-cylinder petrol engine using decision tree,” Expert Systems with Applications, vol. 37, pp. 2150-2160.
[30]Ding, J.,Yang, D., Bao, Z.(2012), “Research on capturing of customer requirements based on innovation theory,” Physics Procedia,vol. 24, pp. 1868-1880.
[31]Ding, X., Hu, P., and Sheng, O.(2011), “e-SELFQUAL: A scale for measuring online self-service quality,” Journal of Business Research, vol. 64, no. 5, pp. 508-515.
[32]El-Adly, M.I.(2012), “Investigating the relationship between shopping mall patronage motives and customer satisfaction using importance-satisfaction analysis,” International Journal of Customer Relationship Marketing and Management, vol. 3, no. 2, pp. 33-46.
[33]EOLembrain(2012), http://www.eolembrain.com.tw/Latest_View.aspx?SelectID=276
[34]Forrester Research(2012), http://www.forrester.com/Mobile+Commerce+Forecast+2011+To+2016/fulltext/-/E-RES58616?docid=58616&src=61276pdf
[35]Funk, J.L.(2007), “The future of mobile shopping: The interaction between lead users and technological trajectories in the Japanese market”, Technological Forecasting and Social Change, Vol. 74, pp.341-356.
[36]Gomez-Sanchis, J., Gomez-Chova, L., Aleixos, N., Camps-Valls, G., and Montesinos-Herrero, C.(2008), “Hyperspectral system for early detection of rottenness caused by Penicillium digitatum in mandarins,” Journal of Food Engineering, vol. 89, no. 1, pp. 80-86.
[37]Google, Ipsos and MMA(2011), http://www.ourmobileplanet.com/omp/T2836071181
[38]Headley, D.E. and Choi, B.(1992), “Achieving service quality,” Journal of ServicesMarketing, vol. 6, no. 1, pp. 5-10.
[39]Heim, R. G. and Field, M. J.(2007), “Process drivers of e-service quality: Analysis of data from an online rating site,” Journal of Operations Management, vol. 25, no. 5, pp. 962-984.
[40]Herzberg, F., Maunsner, B., and Snyderman B.(1959), “The motivation to work,” John Wily & Son, pp. 59-63.
[41]Heskett, J.L., Jones, T.O., Loveman, G.W., Earl, W., Sasser, Jr., and Schlesinger, L.A.(1994), “Putting theservice profit chain to work,” Harvard Business Review, pp. 164-174.
[42]Hung M.C., Yang S.T., and Hsieh T.C.(2012), “An Examination of the Determinants of Mobile Shopping Continuance,” International Journal of Electronic Business Management, vol. 10, no. 1, pp. 29-37
[43]Ishida, A.(2003), “Using TRIZ to create innovative business models and products,” The TRIZ Journal, December.
[44]Jaw, C., Lo, J.Y., and Lin, Y.H.(2010), “The determinants of new service development: Service characteristics,market orientation, and actualizing innovation effort,” Technovation, vol. 30,no. 4, pp. 265-277.
[45]Joaquı’n, A.M., Carla, R.M., and Silvia, S.B.(2009), “Exploring individual personality factors as drivers of m-shopping acceptance,” Industrial Management & Data Systems, vol. 109, no. 6, pp. 739-757.
[46]Johne, A. and Storey, C.(1998), “New service development: a review of literature and annotated bibliography,” European Journal of Marketing, vol. 32, pp. 184-251.
[47]Kabir, M., Shahjahan, M., and Murase, K.(2011), “A new local search based hybrid genetic algorithm for feature selection,” Neurocomputing, vol. 74, no. 17, pp. 2914-2928.
[48]Kano, N., Seraku, N., Takahashi, F., and Tsuji, S.(1984), “Attractive quality and must-be quality,” The Journal of the Japanese Society for Quality Control, vol. 14, no. 2, pp. 39-48.
[49]Kuo, Y. F. and Yen, S. N.(2009), “Towards an understanding of the behavioral intention to use 3G mobile value-added services,” Computers in Human Behavior, vol. 25, no. 1, pp. 103-110.
[50]Ladhari, R.(2009), “A review of twenty years of SERVQUAL research,” International Journal of Quality and Services Sciences, vol. 1, no. 2, pp. 172-198.
[51]Ladhari, R.(2010), “Developing e-service quality scales: A literature review,” Journal of Retailing and Consumer Services, vol. 17, no. 6, pp. 464-477.
[52]Li, J., Huffman, S., and Tokuda, A.(2009), “Good Abandonment in Mobile and PC Internet Search,” 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 43-50.
[53]Li, T. S.(2006), “Feature selection for classification by using a GA-based neural network approach,” Journal of the Chinese Institute of Industrial Engineers, vol. 23, no. 1, pp. 55-64.
[54]Lin, C. H., Chen, L.S., and Hsu, C.C.(2011), “An innovative approach for RFID product functions development,” Expert Systems with Applications, vol. 38, no. 12, pp. 15523-15533.
[55]Lin, C. T., Hong, W. C., Chen, Y. F., and Dong, Y.(2010), “Application of salesman-like recommendation system in 3G mobile phone online shopping decision support,” Expert Systems with Applications, vol. 37, no. 12, pp. 8065-8078.
[56]Liu, Y. and Li, H.(2011), “Exploring the impact of use context on mobile hedonic services adoption: An empirical study on mobile gaming in China,” Computers in Human Behavior, vol. 27, no. 2, pp. 890-898.
[57]Lu, H. P. and Su, Y. J.(2009), “Factors affecting purchase intention on mobile shopping web sites,” Internet Research, vol. 19, no. 4, pp. 442-458.
[58]Lu, Y., Zhang, L., and Wang, B.(2009), “A multidimensional and hierarchical model of mobile service quality,” Electronic Commerce Research and Applications, vol. 8, no. 5, pp. 228-240.
[59]Martila, J.A. and James, J.C.(1977), “Importance-performance analysis,” Journal of Marketing, vol. 2, no. 1, pp. 77-79.
[60]Ngai, E.W.T. and Gunasekaran, A.(2007), “A review for mobile commerce research and applications,” Decision Support Systems, vol. 43, no. 43, pp. 3-15.
[61]Parasuraman, A., Zeithaml, V.A., and Berry, L.L.(1985), “A conceptual model of service quality and its implications for future research,” Journal of Marketing, vol 49, pp. 41-50.
[62]Parasuraman, A., Zeithaml, V.A., and Berry, L.L.(1988), “SERVQUAL: A multiple-Item scale for measuring consumer perceptions of service quality,” Journal of Retailing, vol. 64, no. 1, pp. 12-40.
[63]Parasuraman, A., Zeithaml, V.A., and Malhotra, A.(2005), “E-S-Qual: A multiple-item scale for assessing electronic service quality,” Journal of Service Research, vol. 7, no. 3, pp. 213-233.
[64]Ratten, V.(2011), “Mobile banking innovations and entrepreneurial adoption decisions,” International journal of e-entrepreneurship and innovation, vol. 2, no. 2, pp. 27-38.
[65]Regazzoni, D., Russo, D.(2011), “TRIZ tools to enhance risk management,” Procedia Engineering, vol. 9 ,no. 1, pp. 40-51.
[66]Ryan Hayward(2011), http://www.digitimes.com.tw/tw/dt/n/shwnws.asp?CnlID=1&Cat=60&Cat1=&id=0000248033_DWDLOQW44D3X1P2WAVXKO&query=ryan+Hayward
[67]Saimurugan, M., Ramachandran, K.I., Sugumaran, V., and Sakthivel, N.R.(2011), “Multi component fault diagnosis of rotational mechanical system based on decision tree and support vector machine,” Expert Systems with Applications, vol. 38 ,no. 4, pp. 3819-3826.
[68]Savransky, S.D.,(2000), “Engineering of Creativity- Introduction to TRIZ methodology of inventive problem solving,” CRC Press, Florida: Boca Raton.
[69]Sivatha Sindhu, S.S., Geetha, S., and Kannan, A.(2012), “Decision tree based light weight intrusion detection using a wrapper approach,” Expert Systems with Applications: An International Journal, vol. 39, no. 1, pp. 129-141.
[70]Smith, A.M., Fischbacher, M., and Wilson, F.A.(2007), “New service development: from panoramas to precision,” European Management Journal, vol. 25, no. 5, pp. 370-383.
[71]Stoean, C., Stoean, R., Lupsor, M., Stefanescu, H., and Badea, R.(2011), “Feature selection for a cooperative coevolutionary classifier in liver fibrosis diagnosis,” Computers in Biology and Medicine,vol. 41, no. 4, pp. 238-246.
[72]Su, C. T. and Lin, C. S.(2008), “A case study on the application of Fuzzy QFD in TRIZ for service quality improvement,” Quality & Quantity, Vol. 42, No. 5, pp. 563-578.
[73]Su, C.T., Lin, C.S., and Chiang, T.L.(2008), “Systematic improvement in service quality through TRIZ methodology: An exploratory study,” Total Quality Management, vol. 19, no. 3, pp. 223-243.
[74]Sung, D.(2011), “Enhancing english learning website content and user interface functions using integrated quality assessment,” Lecture Notes in Computer Science, vol. 14, pp. 90-99.
[75]Tamer A. and Badr A.(2012), “A Comparative Study on Bioinformatics Feature,” International Journal of Computer Applications, vol. 43, no. 3, pp. 5-8.
[76]Tan, L. and Wu, L.(2010), “An empirical study on factors affecting customer intention in mobile commerce contexts,” Second International Conference on MultiMedia and Information Technology, vol. 1, pp. 310-313.
[77]Turner, S.D., Dudek, S.M., and Ritchie, M.D.(2010), “Incorporating Domain Knowledge into Evolutionary Computing for Discovering Gene-Gene Interaction,” Lecture Notes in Computer Science, pp. 394-403.
[78]Udo, G.J., Bagchi, K.K., and Kirs, P.J.(2011), “Using SERVQUAL to assess the quality of e-learning experience,” Computers in Human Behavior, vol. 27, no. 3, pp. 1272-1283.
[79]Wang, Y. S. and Liao, Y. W.(2008), “Understanding individual adoption of mobile booking service: An empirical investigation,” CyberPsychology & Behavior, vol. 11, no. 5, pp. 603-605.
[80]Wu, J. H. and Wang, Y. M.(2006), “Development of a tool for selecting mobile shopping site: A customer perspective,” Electronic Commerce Research and Applications, vol. 5, no. 3,pp. 192-200.
[81]Yang C.C.(2003), “Establishment and applications of the integrated model of service quality measurement, ” Managing Service Quality, vol. 13, no. 4, pp. 310-324.
[82]Yang, C.C.(2005), “The refined Kano’s model and its applications,” Total Quality Management, vol. 16, no. 10, pp. 1127-1137.
[83]Yang C.C., Jou Y.T., and Cheng, L.Y. (2011), “Using integrated quality assessment for hotel service quality,” Qual Quant, vol. 45, no. 2, pp. 349-364.
[84]Yang, K.J. and Chen, S.H.(2010), “The comparison and analysis of employee satisfaction improvement in the hot spring and financial industries,” African Journal of Business Management,vol. 4, no. 8, pp. 1619-1628
[85]Zhou, T.(2011), “Examining the critical success factors of mobile website adoption,” Online Information Review, vol. 35, no. 4, pp. 636-652.
[86]Zhou, W. and Kapoor, G.(2011), “Detecting evolutionaryfinancial statement fraud,” Decision Support Systems, vol. 50, no. 3, pp. 570-575.
[87]Zhu, F. and Guan, S.(2004), “Feature selection for modular GA-based classification,” Applied Soft Computing, vol. 4, no. 4, pp. 381-393.
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top
無相關期刊
 
系統版面圖檔 系統版面圖檔