Predicting changing pattern: building model for consumer decision making in digital market
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Yogesh Kumar Dwivedi | Anil Kumar | Nripendra P. Rana | Sunil Luthra | Sachin Kumar Mangla | S. Mangla | S. Luthra | Anil Kumar | N. Rana
[1] J. D. Hess,et al. Bricks or Clicks? Consumer Attitudes toward Traditional Stores and Online Stores , 2013 .
[2] Julián Chaparro-Peláez,et al. Conjoint analysis of drivers and inhibitors of e-commerce adoption ☆ , 2016 .
[3] Jun Wu,et al. Selection of optimum maintenance strategies based on a fuzzy analytic hierarchy process , 2007 .
[4] Nan Zhou,et al. Consumption attitudes and adoption of new consumer products: a contingency approach , 2008 .
[5] S. Sahney. Critical Success Factors in Online Retail--An Application of Quality Function Deployment and Interpretive Structural Modeling , 2008 .
[6] Golam Kabir,et al. Evaluation of customer oriented success factors in mobile commerce using fuzzy AHP , 2011 .
[7] X. Zhang,et al. Impact of Online Consumer Reviews on Sales: The Moderating Role of Product and Consumer Characteristics , 2010 .
[8] Adel M. Alimi,et al. Ranking criteria based on fuzzy ANP for assessing E-commerce web sites , 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
[9] Mark Brown,et al. Consumer perceived brand innovativeness , 2015 .
[10] D. MacInnis,et al. Humanizing brands: When brands seem to be like me, part of me, and in a relationship with me , 2017 .
[11] L. de Chernatony,et al. Facebook ‘friendship’ and brand advocacy , 2012 .
[12] Ya Ping Chang,et al. Multichannel integration quality, online perceived value and online purchase intention: A perspective of land-based retailers , 2016, Internet Res..
[13] Pingjun Jiang,et al. Responses to customized products: the consumers’ behavioral intentions , 2015 .
[14] Michael D. Clemes,et al. An empirical analysis of online shopping adoption in Beijing, China , 2014 .
[15] Dahiya Richa. IMPACT OF DEMOGRAPHIC FACTORS OF CONSUMERS ON ONLINE SHOPPING BEHAVIOUR: A STUDY OF CONSUMERS IN INDIA , 2012 .
[16] Reversing the Similarity Effect in Stock‐Outs: A New Look at a Renowned Phenomenon in Consumers’ Brand Switching Behavior , 2016 .
[17] Pradeep Kumar,et al. An integrated methodology of FTA and fuzzy AHP for risk assessment in green supply chain , 2015 .
[18] Burak Efe,et al. An integrated fuzzy multi criteria group decision making approach for ERP system selection , 2016, Appl. Soft Comput..
[19] Sumeet Gupta,et al. Which is more important in Internet shopping, perceived price or trust? , 2012, Electron. Commer. Res. Appl..
[20] Brian J. Baldus,et al. Online brand community engagement: Scale development and validation , 2015 .
[21] Edy Portmann,et al. Applying the Fuzzy Analytical Network Process in Digital Marketing , 2015 .
[22] K. Lazányi,et al. MANAGEMENT, ENTERPRISE AND BENCHMARKING , 2016 .
[23] Sandrine Heitz-Spahn. Cross-channel free-riding consumer behavior in a multichannel environment: An investigation of shopping motives, sociodemographics and product categories , 2013 .
[24] A. Burns,et al. Comparing online and in-store shopping behavior towards luxury goods , 2013 .
[25] S. Lissitsa,et al. Generation X vs. Generation Y – A decade of online shopping , 2016 .
[26] Edy Portmann,et al. Applying the Fuzzy Analytical Network Process in Digital Marketing , 2016 .
[27] Chih-Hsuan Wang,et al. Incorporating customer satisfaction into the decision-making process of product configuration: a fuzzy Kano perspective , 2013 .
[28] Gwo-Hshiung Tzeng,et al. Online reputation management for improving marketing by using a hybrid MCDM model , 2012, Knowl. Based Syst..
[29] Wei-Wen Wu,et al. Segmenting critical factors for successful knowledge management implementation using the fuzzy DEMATEL method , 2012, Appl. Soft Comput..
[30] Moonkyu Lee,et al. Corporate Social Responsibility and Employee–Company Identification , 2010 .
[31] Pradeep Kumar,et al. Prioritizing the responses to manage risks in green supply chain: An Indian plastic manufacturer perspective , 2015 .
[32] Ümran Şengül,et al. Selection of Digital Marketing Tools Using Fuzzy AHP-Fuzzy TOPSIS , 2016 .
[33] D. Arli,et al. Consumer confusion proneness: insights from a developing economy , 2014 .
[34] Jo Royle,et al. The digital marketing skills gap: Developing a Digital Marketer Model for the communication industries , 2014, Int. J. Inf. Manag..
[35] Shahriar Akter,et al. Big data analytics in E-commerce: a systematic review and agenda for future research , 2016, Electronic Markets.
[36] Hélène Ollivier,et al. Cleaner firms or cleaner products? How product mix shapes emission intensity from manufacturing , 2018 .
[37] C. Bhattacharya,et al. Maximizing Business Returns to Corporate Social Responsibility (CSR): The Role of CSR Communication , 2010 .
[38] Dinesh Kumar,et al. A combined approach using AHP and DEMATEL for evaluating success factors in implementation of green supply chain management in Indian manufacturing industries , 2016 .
[39] Madjid Tavana,et al. A novel hybrid social media platform selection model using fuzzy ANP and COPRAS-G , 2013, Expert Syst. Appl..
[40] Manoj Kumar Dash,et al. Factors identification: a model of unplanned multi-generational consumers' electronic purchasing decision , 2015 .
[41] A. Ishikawa,et al. The Max-Min Delphi method and fuzzy Delphi method via fuzzy integration , 1993 .
[42] Zakaria Maamar,et al. A fuzzy logic-based system for assessing the level of business-to-consumer (B2C) trust in electronic commerce , 2005, Expert Syst. Appl..
[43] Gwo-Hshiung Tzeng,et al. A new hybrid MCDM model combining DANP with VIKOR to improve e-store business , 2013, Knowl. Based Syst..
[44] Ludovic-Alexandre Vidal,et al. Using a Delphi process and the Analytic Hierarchy Process (AHP) to evaluate the complexity of projects , 2011, Expert Syst. Appl..
[45] M. S. Balaji,et al. An Investigation of Online Shopping Experience on Trust and Behavioral Intentions , 2015 .
[46] Sunil Luthra,et al. Measuring and improving customer retention at authorised automobile workshops after free services , 2017 .
[47] Noreen M. Klein,et al. Online Price Search: Impact of Price Comparison Sites on Offline Price Evaluations , 2015 .
[48] Kannan Govindan,et al. Identification and analysis of reverse logistics barriers using fuzzy Delphi method and AHP , 2016 .
[49] N. Pappas. Marketing strategies, perceived risks, and consumer trust in online buying behaviour , 2016 .
[50] Teresa Davis,et al. Young consumer-brand relationship building potential using digital marketing , 2016 .
[51] R. Yadav,et al. Application of consumer style inventory (CSI) to predict young Indian consumer’s intention to purchase organic food products , 2018, Food Quality and Preference.
[52] Wei Chen,et al. The influence of user-generated content on traveler behavior: An empirical investigation on the effects of e-word-of-mouth to hotel online bookings , 2011, Comput. Hum. Behav..
[53] Rajiv Sabherwal,et al. Diffusion of knowledge in social media networks: effects of reputation mechanisms and distribution of knowledge roles , 2018, Inf. Syst. J..
[54] Paul M. Connell,et al. Children's response to sales promotions and their impact on purchase behavior , 2012 .
[55] Shuai Yang,et al. Sustainable Retailing in the Fashion Industry: A Systematic Literature Review , 2017 .
[56] Mehdi Shajari,et al. An enhanced e-commerce trust model for community based centralized systems , 2012, Electron. Commer. Res..
[57] Raffaele Filieri. What makes online reviews helpful? A diagnosticity-adoption framework to explain informational and normative influences in e-WOM , 2015 .
[58] Eunju Ko,et al. Customer social participation in the social networking services and its impact upon the customer equity of global fashion brands , 2016 .
[59] Sunil Erevelles,et al. Big Data consumer analytics and the transformation of marketing , 2016 .
[60] Kannan Govindan,et al. Prioritising indicators in improving supply chain performance using fuzzy AHP: insights from the case example of four Indian manufacturing companies , 2017 .
[61] Sangjae Lee,et al. Fuzzy cognitive map based on structural equation modeling for the design of controls in business-to-consumer e-commerce web-based systems , 2009, Expert Syst. Appl..
[62] Rakhi Thakur,et al. A study on the impact of consumer risk perception and innovativeness on online shopping in India , 2015 .
[63] Kedar Pandurang Joshi,et al. Enhanced Selling on Digital Space Via Matching Buyer and Seller Preferences Using Fuzzy MCDM Method , 2015 .
[64] Binshan Lin,et al. Internet-based ICT adoption among SMEs: Demographic versus benefits, barriers, and adoption intention , 2010, J. Enterp. Inf. Manag..
[65] Xiaoying Li,et al. The effect of web advertising visual design on online purchase intention: An examination across gender , 2016, Comput. Hum. Behav..
[66] Mauricio Mittelman,et al. Product order affects consumer preferences for variety bundles , 2017 .
[67] Michail N. Giannakos,et al. The interplay of online shopping motivations and experiential factors on personalized e-commerce: A complexity theory approach , 2017, Telematics Informatics.
[68] Koen Pauwels,et al. Paths to and off purchase: quantifying the impact of traditional marketing and online consumer activity , 2016 .
[69] Daekook Kang,et al. Evaluation of e-commerce websites using fuzzy hierarchical TOPSIS based on E-S-QUAL , 2016, Appl. Soft Comput..
[70] Arnd Huchzermeier,et al. Returning Customers: The Hidden Strategic Opportunity of Returns Management , 2018 .
[71] Xun Xu,et al. The influence of e-services on customer online purchasing behavior toward remanufactured products , 2017 .
[72] H. Wilson,et al. Marketing Plans: How to prepare them, how to profit from them , 2016 .
[73] Mohsen Naderpour,et al. Decision making on adoption of cloud computing in e-commerce using fuzzy TOPSIS , 2017, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).
[74] Manoj Kumar Dash,et al. ELECTRONIC CONSUMER STYLE INVENTORY: FACTOR EXPLORATION AND MULTI-COMPARISON ANALYSIS , 2014 .
[75] Sascha Steinmann,et al. Consumers' attitudes and intentions toward Internet-enabled TV shopping , 2017 .
[76] Chung-Chu Liu,et al. Prioritization of digital capital measures in recruiting website for the national armed forces , 2009, Expert Syst. Appl..
[77] Denise J. Luethge,et al. Toward an integrated framework for online consumer behavior and decision making process: A review , 2010 .
[78] Sajad Rezaei,et al. Consumer experiences, attitude and behavioral intention toward online food delivery (OFD) services , 2017 .
[79] Panos E. Kourouthanassis,et al. Explaining online shopping behavior with fsQCA: The role of cognitive and affective perceptions , 2016 .
[80] Grant Packard,et al. Compensatory Knowledge Signaling in Consumer Word-of-Mouth , 2013 .
[81] Tobias Schaefers,et al. Compulsive buying in online daily deal settings: An investigation of motivations and contextual elements , 2016 .
[82] Jordan Fullam. Becoming a youth activist in the internet age: a case study on social media activism and identity development , 2017 .
[83] Ingoo Han,et al. The Different Effects of Online Consumer Reviews on Consumers' Purchase Intentions Depending on Trust in Online Shopping Mall: An Advertising Perspective , 2011, Internet Res..
[84] Edmundas Kazimieras Zavadskas,et al. Using fuzzy multiple criteria decision making approaches for evaluating energy saving technologies and solutions in five star hotels: a new hierarchical framework , 2016 .
[85] M. S. Abbasi,et al. Social influence, voluntariness, experience and the internet acceptance: An extension of technology acceptance model within a south-Asian country context , 2011, J. Enterp. Inf. Manag..
[86] H. Veisi,et al. Developing an ethics-based approach to indicators of sustainable agriculture using analytic hierarchy process (AHP) , 2016 .
[87] Hsiu-Yuan Wang,et al. Predicting mobile hotel reservation adoption: Insight from a perceived value standpoint , 2010 .
[88] Anil Kumar,et al. Factors identification of online reputation and relationship with trust: a study of generation Y , 2017, Int. J. Bus. Inf. Syst..
[89] Dogan Gursoy,et al. Antecedents and outcomes of consumers’ confusion in the online tourism domain , 2016 .
[90] Antonia Mantonakis,et al. The Cue-of-the-Cloud Effect: When Reminders of Online Information Availability Increase Purchase Intentions and Choice , 2016 .
[91] Yi-Shun Wang,et al. Predicting smartphone brand loyalty: Consumer value and consumer-brand identification perspectives , 2016, Int. J. Inf. Manag..
[92] Sang Cheol Park,et al. Consumer perceptions on web advertisements and motivation factors to purchase in the online shopping , 2010, Comput. Hum. Behav..
[93] Yongjian Li,et al. Examining relationships between the return policy, product quality, and pricing strategy in online direct selling , 2013 .
[94] Madjid Tavana,et al. A fuzzy group quality function deployment model for e-CRM framework assessment in agile manufacturing , 2011, Comput. Ind. Eng..
[95] Weiguo Fan,et al. The joint moderating role of trust propensity and gender on consumers' online shopping behavior , 2015, Comput. Hum. Behav..
[96] S. Jayashree,et al. Online impulse buying of tourism products: The role of web site personality, utilitarian and hedonic web browsing , 2016 .
[97] L. Harris. Fraudulent consumer returns: exploiting retailers' return policies , 2010 .
[98] Timmy H. Tseng,et al. Online brand community response to negative brand events: the role of group eWOM , 2013, Internet Res..
[99] Andreas B. Eisingerich,et al. Why recommend a brand face-to-face but not on Facebook? How word-of-mouth on online social sites differs from traditional word-of-mouth , 2015 .
[100] Abdelkamel Tari,et al. Fuzzy Multi-Criteria Decision Making Methods for E-Commerce Issues , 2016 .
[101] A. Khare. Impact of consumer decision-making styles on Indian consumers’ mall shopping behaviour , 2012 .
[102] Paul Goodwin,et al. When do changes in consumer preferences make forecasts from choice-based conjoint models unreliable? , 2017, Eur. J. Oper. Res..
[103] Anil Kumar,et al. Fuzzy Structural Models and Based Applications in Digital Marketplace , 2016 .
[104] Wei-Zhi Wu,et al. Constructive and axiomatic approaches of fuzzy approximation operators , 2004, Inf. Sci..
[105] Aliette Lambert,et al. Loyal Now, but Not Forever! A Study of Narcissism and Male Consumer–Brand Relationships , 2013 .
[106] Rui Vinhas da Silva,et al. Online brand attributes and online corporate brand images , 2008 .
[107] Metin Dağdeviren,et al. Developing a fuzzy analytic hierarchy process (AHP) model for behavior-based safety management , 2008, Inf. Sci..
[108] Anil Bilgihan,et al. Gen Y customer loyalty in online shopping: An integrated model of trust, user experience and branding , 2016, Comput. Hum. Behav..
[109] Cheng Lu. A conceptual model of consumers’ online tourism confusion , 2015 .
[110] J. Linton,et al. New or recycled products: how much are consumers willing to pay? , 2010 .
[111] Fiona E. Ellis-Chadwick,et al. Internet retailing: the past, the present and the future , 2010 .
[112] Lotfi A. Zadeh,et al. Fuzzy Sets , 1996, Inf. Control..
[113] M. R. Solomon,et al. An old model for a new age: Consumer decision making in participatory digital culture , 2015 .
[114] Henning Kreis,et al. Examining Biased Assimilation of Brand-related Online Reviews☆ , 2016 .
[115] E. Shih,et al. Aligning benefits with payments: A test of the pattern alignment hypothesis , 2008 .
[116] X. Zhang,et al. Impact of Online Consumer Reviews on Sales: The Moderating Role of Product and Consumer Characteristics , 2010 .
[117] Vinod Gupta. Critical Success Factors in Online Retail – An Application of Quality Function Deployment And Interpretive Structural Modeling , 2008 .
[118] Angeline C. Scheinbaum,et al. Beyond Buying: Motivations Behind Consumers’ Online Shopping Cart Use , 2009 .
[119] Anil Kumar,et al. Causal Modelling and Analysis Evaluation of Online Reputation Management Using Fuzzy Delphi and DEMATEL , 2017, Int. J. Strateg. Decis. Sci..
[120] Gülçin Büyüközkan,et al. A combined fuzzy AHP and fuzzy TOPSIS based strategic analysis of electronic service quality in healthcare industry , 2012, Expert Syst. Appl..
[121] D. Fesenmaier,et al. Information technology and consumer behavior in travel and tourism: insights from travel planning using the internet. , 2015 .
[122] Wen-Yu Chiang,et al. Discovering customer value for marketing systems: an empirical case study , 2017, Int. J. Prod. Res..
[123] Cipriano Forza,et al. Supporting the social dimension of shopping for personalized products through online sales configurators , 2017, Journal of Intelligent Information Systems.
[124] K. Passi,et al. Agent based e-commerce systems that react to buyers' feedbacks - A fuzzy approach , 2010, Int. J. Approx. Reason..