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The evaluation factors of adopting SoLoMo services: the hybrid fuzzy MCDM approach

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Abstract

SoLoMo services are emerging mobile services, which combine different software and hardware techniques, enabling users to obtain location-based information at any time and place as well as exchange, interact, and communicate messages with other people in real time. Since SoLoMo services contain two types of the most widely used mobile applications, different users might have different needs for and expectations on these services. This study proposed a three-stage hybrid fuzzy multicriteria decision-making (MCDM) model and applied fuzzy analytic network process (FANP) and the decision-making trial and evaluation laboratory (DEMATEL) to analyze, from an angle of integral SoLoMo services, the critical factors evaluated by users in adopting SoLoMo services. In addition, this study also discussed how the users make their choices after they have weighed between the privacy consideration and the use of complete SoLoMo services. The analysis results reported that popularity degree of service, information accuracy of service, privacy risk, maintaining affection and friendship with others, and location-based store information search are the top five ones among these critical positive and negative factors considered by users while adopting SoLoMo services. Furthermore, the analysis indicated that for achieving information accuracy of service, location-based store information search, and maintaining affection and friendship with others, SoLoMo service users would tolerate more privacy risk.

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References

  • Aloudat A, Michael K, Chen X, Al-Debei MM (2014) Social acceptance of location-based mobile government services for emergency management. Telemat Inform 31(1):153–171

    Article  Google Scholar 

  • Asahi T, Turo D, Shneiderman B (1995) Using treemaps to visualize the analytic hierarchy process. Inform Syst Res 6(4):357–375

    Article  Google Scholar 

  • Buckley JJ (1985) Fuzzy hierarchical analysis. Fuzzy Set Syst 17(3):233–247

    Article  Google Scholar 

  • Chang B, Kuo C, Wu CH, Tzeng GH (2015) Using fuzzy analytic network process to assess the risks in enterprise resource planning system implementation. Appl Soft Comput 28:196–207

    Article  Google Scholar 

  • Chiou HK, Tzeng GH, Cheng DC (2005) Evaluating sustainable fishing development strategies using fuzzy MCDM approach. Omega Int J Manag Sci 33(3):223–234

    Article  Google Scholar 

  • Deng Z, Lu Y, Wei KK, Zhang J (2010) Understanding customer satisfaction and loyalty: an empirical study of mobile instant messages in China. Int J Inform Manag 30(4):289–300

    Article  Google Scholar 

  • Ellison NB (2007) Social network sites: definition, history, and scholarship. J Comput Mediat Commun 13(1):210–230

    Article  Google Scholar 

  • Fontela E, Gabus A (1976) Current perceptions of the world problematique. World Modeling: A Dialogue. North-Holland Publishing Company, Amsterdam

    Google Scholar 

  • Gao L, Bai X (2014) An empirical study on continuance intention of mobile social networking services: integrating the IS success model, network externalities and flow theory. Asia Pac J Mark Logist 26(2):168–189

    Article  Google Scholar 

  • Gatautis R, Medziausiene A (2014) Factors affecting social commerce acceptance in Lithuania. Procedia Soc Behav Sci 110:1235–1242

    Article  Google Scholar 

  • Gibbs C (2008) SMS vs. MIM. RCR Wirel News 27(13):1–8

    Google Scholar 

  • Heinemann G, Gaiser C (2015) Always on and always in touch: The new buying behaviour. In Social-Local-Mobile. Springer, Berlin

    Google Scholar 

  • Heo JY, Kim KJ (2016) Development of a scale to measure the quality of mobile location-based services. Serv Bus pp 1–19

  • Ho SY (2012) The effects of location personalization on individuals’ intention to use mobile services. Decis Support Syst 53(4):802–812

    Article  Google Scholar 

  • Hu SK, Lu MT, Tzeng GH (2015) Improving mobile commerce adoption using a new hybrid fuzzy MADM model. Int J Fuzzy Syst 17(3):399–413

    Article  Google Scholar 

  • Jiang ZMZ (2013) The concept of SoLoMo and its application to library service. Res Libr Sci 12:012

    Google Scholar 

  • Jozsef Mezei SN, Bouwman H (2011) Analytic Hierarchy Process (AHP) approach for selecting mobile service category. 10th International Conference on Mobile Business, IEEE pp 119–128

  • Kabir G, Akhtar Hasin A (2011) Evaluation of customer oriented success factors in mobile commerce using fuzzy AHP. J Ind Eng Manag 4(2):361–386

    Google Scholar 

  • Kim HJ (2012) Online social media networking and assessing its security risks. Int J Secur Appl 6(3):11–18

    Google Scholar 

  • Kim YH, Kim DJ, Wachter K (2013) A study of mobile user engagement (MoEN): engagement motivations, perceived value, satisfaction, and continued engagement intention. Decis Support Syst 56:361–370

    Article  Google Scholar 

  • Kim J, Park Y, Kim C, Lee H (2014) Mobile application service networks: Apple’s App Store. Serv Bus 8(1):1–27

    Article  Google Scholar 

  • Lee SM, Chen L (2011) An integrative research framework for the online social network service. Serv Bus 5(3):259–276

    Article  Google Scholar 

  • Lee SG, Park B, Kim SH, Lee HH (2012) Innovation and imitation effects in the mobile telecommunication service market. Serv Bus 6(3):265–278

    Article  Google Scholar 

  • Li H, Gupta A, Zhang J, Sarathy R (2014) Examining the decision to use standalone personal health record systems as a trust-enabled fair social contract. Decis Support Syst 57:376–386

    Article  Google Scholar 

  • Lin HF (2013) Determining the relative importance of mobile banking quality factors. Comput Stand Interfac 35(2):195–204

    Article  Google Scholar 

  • Lin WR (2014) The MCDM approach for evaluating mobile banking system service: a study of the cross-industries integration perspective. J Account Financ Manag Strateg 9(2):107–138

    Google Scholar 

  • Lin LZ, Hsu TH (2011) Designing a model of FANP in brand image decision-making. Appl Soft Comput 11(1):561–573

    Article  Google Scholar 

  • Lin SW, Liu YC (2012) The effects of motivations, trust, and privacy concern in social networking. Serv Bus 6(4):411–424

    Article  Google Scholar 

  • Lin KY, Lu HP (2015) Predicting mobile social network acceptance based on mobile value and social influence. Internet Res 25(1):107–130

    Article  Google Scholar 

  • Lin WR, Wang YH, Hung TE (2012) Selecting mobile banking system service for consumers by using a combined DEMATEL and ANP approach. J Account Financ Manag Strateg 7(1):1–14

    Google Scholar 

  • Lu MT, Tzeng GH, Cheng H, Hsu CC (2015) Exploring mobile banking services for user behavior in intention adoption: using new hybrid MADM model. Serv Bus 9(3):541–565

    Article  Google Scholar 

  • Mahrous AA, Abdelmaaboud AK (2016) Antecedents of participation in online brand communities and their purchasing behavior consequences. Serv Bus. doi:10.1007/s11628-016-0306-5

  • Miller CM, McIntyre SH, Mantrala MK (1993) Toward formalizing fashion theory. J Mark Res 30(2):142–157

    Article  Google Scholar 

  • Natarajan T, Balasubramanian SA, Manickavasagam S (2010) Customer’s choice amongst self service technology (SST) channels in retail banking: a study using analytical hierarchy process (AHP). J Internet Bank Commer 15(2):1–16

    Google Scholar 

  • Nikou S, Bouwman H (2014) Ubiquitous use of mobile social network services. Telemat Inform 31(3):422–433

    Article  Google Scholar 

  • Nikou S, Mezei J (2013) Evaluation of mobile services and substantial adoption factors with Analytic Hierarchy Process (AHP). Telecommun Policy 37(10):915–929

    Article  Google Scholar 

  • Ogara SO, Koh CE, Prybutok VR (2014) Investigating factors affecting social presence and user satisfaction with mobile instant messaging. Comput Hum Behav 36:453–459

    Article  Google Scholar 

  • Park S, Oh D, Lee BG (2011) Analyzing user satisfaction factors for instant messenger-based mobile SNS. In Future Information Technology. Springer, Berlin

    Google Scholar 

  • Phan K, Daim T (2011) Exploring technology acceptance for mobile services. J Ind Eng Manag 4(2):339–360

    Google Scholar 

  • Pura M (2005) Linking perceived value and loyalty in location-based mobile services. Manag Serv Qual Int J 15(6):509–538

    Article  Google Scholar 

  • Rao S, Troshani I (2007) A conceptual framework and propositions for the acceptance of mobile services. J Theor Appl Electron Commer Res 2(2):61

    Google Scholar 

  • Saaty TL (1990) How to make a decision: the analytic hierarchy process. Eur J Oper Res 48(1):9–26

    Article  Google Scholar 

  • Saaty TL (1996) Decision making with dependence and feedback: the analytic network process. RWS Publication, Pittsburgh

    Google Scholar 

  • Saaty TL (2001) Decision making with dependence and feedback: the analytic network process. RWS Publications, Pittsburgh, pp 557–570

    Google Scholar 

  • Saaty TL (2004) Decision making—the analytic hierarchy and network processes (AHP/ANP). J Syst Sci Syst Eng 13(1):1–35

    Article  Google Scholar 

  • Saaty TL (2008a) Decision making with the analytic hierarchy process. Int J Serv Sci 1(1):83–98

    Google Scholar 

  • Saaty TL (2008b) The analytic network process. Iran J Oper Res 1(1):1–27

    Google Scholar 

  • Salehan M, Negahban A (2013) Social networking on smartphones: when mobile phones become addictive. Comput Hum Behav 29(6):2632–2639

    Article  Google Scholar 

  • Schubert P, Hampe JF (2006) Mobile communities: how viable are their business models? An exemplary investigation of the leisure industry. Electron Commer Res 6(1):103–121

    Article  Google Scholar 

  • Sheth JN, Newman BI, Gross BL (1991) Why we buy what we buy: a theory of consumption values. J Bus Res 22(2):159–170

    Article  Google Scholar 

  • Shin WS, Lee HK, Kim KJ, Do Chung B (2016) Developing a quality prioritization procedure for IPTV service. Serv Bus. doi:10.1007/s11628-016-0309-2

  • Smith I (2005) Social-mobile applications. Computer 38(4):84–85

    Article  Google Scholar 

  • Sun X, Qiu J, Zhang L (2013) SoLoMo User Experience Study Using a Pivoted Parallel Coordinates. In Cross-Cultural Design. Cultural Differences in Everyday Life. Springer, Berlin, pp 336–345

    Chapter  Google Scholar 

  • The New York Times (2011) SoLoMo: Portmanteau term for the meeting of Social, Local and Mobile media. http://schott.blogs.nytimes.com/2011/02/22/solomo/?_r=1. Accessed 19 August 2016

  • Tseng ML, Lin YH, Chiu ASF, Liao JCH (2008) Using FANP approach on selection of competitive priorities based on cleaner production implementation: a case study in PCB manufacturer, Taiwan. Clean Technol Environ 10(1):17–29

    Article  Google Scholar 

  • Turban E, King D, Lang J, Lai L, McKay J, Marshall P, Pollard C, Seballos D, Viehland D, Volonino L (2009) Introduction to Electronic Commerce 2/e. Pearson Education International, New York

  • Wang HY (2016) Predicting customers’ intentions to check in on Facebook while patronizing hospitality firms. Serv Bus 10(1):201–222

    Article  Google Scholar 

  • Williams K, Durrance JC, Rosenbaum H (2009) Community informatics. Encyc Libr Inform Sci 3:1–7

    Google Scholar 

  • Wu WW (2008) Choosing knowledge management strategies by using a combined ANP and DEMATEL approach. Expert Syst Appl 35(3):828–835

    Article  Google Scholar 

  • Xu H, Teo HH, Tan BC, Agarwal R (2009) The role of push-pull technology in privacy calculus: the case of location-based services. J Manag Inform Syst 26(3):135–174

    Article  Google Scholar 

  • Zahedi F (1986) The analytic hierarchy process-a survey of the method and its applications. Interfaces 16(4):96–108

    Article  Google Scholar 

  • Zeithaml VA (1988) Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence. J Mark 52(3):2–22

    Article  Google Scholar 

  • Zhang Z, Li Q, Zeng D, Gao H (2013) User community discovery from multi-relational networks. Decis Support Syst 54(2):870–879

    Article  Google Scholar 

  • Zhao L, Lu Y, Zhang L, Chau PYK (2011) Assessing the effects of service quality and justice on customer satisfaction and the continuance intention of mobile value-added services: an empirical test of a multidimensional model. Decis Support Syst 52(3):645–656

    Article  Google Scholar 

  • Zhou T, Li H (2014) Understanding mobile SNS continuance usage in China from the perspectives of social influence and privacy concern. Comput Hum Behav 37:283–289

    Article  Google Scholar 

  • Zhou T, Li H, Liu Y (2010) The effect of flow experience on mobile SNS users’ loyalty. Ind Manag Data Syst 110(6):930–946

    Article  Google Scholar 

  • Zhou X, Wu S, Chen G, Shou L (2014a) kNN processing with co-space distance in SoLoMo systems. Expert Syst Appl 41(16):6967–6982

    Article  Google Scholar 

  • Zhou Z, Jin XL, Fang Y (2014b) Moderating role of gender in the relationships between perceived benefits and satisfaction in social virtual world continuance. Decis Support Syst 65:69–79

    Article  Google Scholar 

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Acknowledgments

The authors would like to thank the Ministry of Science and Technology, Taiwan, for financially supporting this research under Contract No. MOST 104-2410-H-004-135-MY3.

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  1. Department of Management Information System, National Cheng-Chi University, 64, Sec. 2, Chih-Nan Rd., Wenshan District, Taipei, Taiwan

    Heng-Li Yang & Shiang-Lin Lin

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  1. Heng-Li Yang
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Correspondence to Heng-Li Yang.

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Yang, HL., Lin, SL. The evaluation factors of adopting SoLoMo services: the hybrid fuzzy MCDM approach. Serv Bus 11, 601–629 (2017). https://doi.org/10.1007/s11628-016-0322-5

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