Six important theories in information behaviour research: a systematic review and future directions
DOI:
https://doi.org/10.47989/irpaper948Keywords:
information behaviour, systematic review, theory developmentAbstract
Introduction. The fragmentation and appropriation of fundamental theories from other disciplines have increasingly hindered the carrying-out of empirical studies in information behavioural research. Six theories were selected, with ethnographic decision tree theory and means-end chain theory exploring how behaviour happens and will evolve, media richness theory, collective action theory and service encounter theory exploring why behaviour happens and motivation crowding theory exploring why things go off track.
Method. Topic-relevant empirical studies of the applications of six theories published in Web of Science Core Collection have been collected and reviewed.
Analysis. Theory development, research agenda and current problems, as well as potential directions for future research were illustrated.
Results. Our findings indicated that the six theories have broad application contexts and their application potential needs to be further explored.
Conclusions. This paper has important implications for advancing the boundary conditions regarding these theories and relevant empirical studies, as well as discovering uncharted territories.
References
Alamäki, A., Pesonen, J., & Dirin, A. (2019). Triggering effects of mobile video marketing in nature tourism: media richness perspective. Information Processing & Management, 56(3),756–770. https://doi.org/10.1016/j.ipm.2019.01.003
Aljukhadar, M., Senecal, S., & Ouellette, D. (2010). Can the media richness of a privacy disclosure enhance outcome? a multifaceted view of trust in rich media environments. International Journal of Electronic Commerce, 14(4), 103-126. https://doi.org/10.2753/JEC1086-4415140404
Andergassen, M., Behringer, R., Finlay, J., Gorra, A., & Moore, D. (2009). Weblogs in higher education: why do students (not) blog? Electronic Journal of E-Learning, 7(3), 203-214. https://eric.ed.gov/?id=EJ872405 (Internet Archive)
Axelrod, R., & Hamilton, W. (1988). The evolution of cooperation. Science, 242(4889), 1385-1390. https://doi.org/10.1126/science.7466396
Bailey, A., & Ngwenyama, O. (2013). Toward entrepreneurial behavior in underserved communities: an ethnographic decision tree model of telecenter usage. Information Technology for Development, 19(3), 230-248. https://doi.org/10.1080/02681102.2012.751571
Banker, R.D., Bardhan, I., & Asdemir, O. (2006). Understanding the impact of collaboration software on product design and development. Information Systems Research, 17(4), 352-373. https://doi.org/10.1287/isre.1060.0104
Bateson, J.E.G. (1985). Perceived control and the service encounter. In J. A. Czepiel, M. R. Solomon, & C. F. Surprenant (Eds.), The service encounter: managing employee/customer interaction in service businesses (pp. 67-82). Lexington Books. https://doi.org/10.4135/9781452231327.n11
Beatson, D.A., Lee, D.N., & Coote, D.L.V. (2007). Self-service technology and the service encounter. The Service Industries Journal, 27(1), 75-89. https://doi.org/10.1080/02642060601038700
Beck, K.A. (2005). Ethnographic decision tree modeling: a research method for counseling psychology. Journal of Counseling Psychology, 52(2), 243-249. https://doi.org/10.1037/0022-0167.52.2.243
Becker, J.U., Clement, M., & Schaedel, U. (2010). The impact of network size and financial incentives on adoption and participation in new online communities. Journal of Media Economics, 23(3), 165-179. https://doi.org/10.1080/08997764.2010.502515
Bimber, B., Flanagin, A.J., & Stohl, C. (2005). Reconceptualizing collective action in the contemporary media environment. Communication Theory, 15(4), 365-388. https://doi.org/10.1111/j.1468-2885.2005.tb00340.x
Bitner, M.J., Booms, B., & Tetreault, M.S. (1990). The service encounter: diagnosing favorable and unfavorable incidents. Journal of Marketing, 54(1), 71-84. https://doi.org/10.1177/002224299005400105
Blumer, H. (1969). Symbolic interactionism: perspective and method. Prentice-Hall.
Bock, G-W., Zmud, R., Kim, Y-G., & Lee, J-N. (2005). Behavioral intention formation in knowledge sharing: examining the roles of extrinsic motivators, social-psychological factors, and organizational climate. MIS Quarterly, 29(1), 87-111. https://doi.org/10.2307/25148669
Breslin, F.C., Gladwin, C.H., Borsoi, D., & Cunningham, J.A. (2000). Defacto client-treatment matching: how clinicians make referrals to outpatient treatments for substance use. Evaluation and Program Planning, 23(3), 281-291. https://doi.org/10.1016/S0149-7189(00)00014-8
Bryant, S. M., Albring, S. M., & Murthy, U. (2009). The effects of reward structure, media richness and gender on virtual teams. International Journal of Accounting Information Systems, 10(4), 190-213. https://doi.org/10.1016/j.accinf.2009.09.002
Carlson, J.R., & George, J.F. (2004). Media appropriateness in the conduct and discovery of deceptive communication: the relative influence of richness and synchronicity. Group Decision and Negotiation, 13(2), 191-210. https://doi.org/10.1023/B:GRUP.0000021841.01346.35
Case, D.O., & Given L.M. (2016). Looking for information: a survey of research on information seeking, needs, and behavior. Emerald Group Publishing.
Chamberlin, J. (1974). Provision of collective goods as a function of group size. The American Political Science Review, 68(2), 707-716. https://doi.org/10.2307/1959515
Chang, Y-S., & Yang, C. (2013). Why do we blog? From the perspectives of technology acceptance and media choice factors. Behaviour & Information Technology, 32(4), 371-386. https://doi.org/10.1080/0144929X.2012.656326
Charmaz, K. (2006). Constructing Grounded Theory: A Practical Guide through Qualitative Analysis. Sage.
Cheshire, C., & Antin, J. (2008). The social psychological effects of feedback on the production of internet information pools. Journal of Computer-Mediated Communication, 13(3), 705-727. https://doi.org/10.1111/j.1083-6101.2008.00416.x
Chesney, T., Chuah, S-H., Dobele, A.R., & Hoffmann, R. (2017). Information richness and trust in v-commerce: implications for services marketing. Journal of Services Marketing, 31(3), 295-307. https://doi.org/10.1108/JSM-02-2015-0099
Chidambaram, L. (1996). Relational development in computer-supported groups. MIS Quarterly, 20(2), 143-165. https://doi.org/10.2307/249476
Clatworthy, S. (2011). Service innovation through touch-points: development of an innovation toolkit for the first stages of new service development. International Journal of Design, 5(2), 15-28. http://www.ijdesign.org/index.php/IJDesign/article/view/939 (Internet Archive)
Cole, C. (2013). Review of: Wilson, T.D. (Ed.). Theory in information behaviour research. Sheffield, UK: Eiconics Ltd. Information Research, 18(3), review no. R482. http://www.informationr.net/ir/reviews/revs482.html (Internet Archive)
Daft, R.L., Lengel, R.H., & Trevino, L.K. (1987). Message equivocality, media selection, and manager performance: implications for information systems. MIS Quarterly, 11(3), 355-366. https://doi.org/10.2307/248682
Davenport, R.D., Mann, W., & Lutz, B. (2012). How older adults make decisions regarding smart technology: an ethnographic approach. Assistive Technology, 24(3), 168-181. https://doi.org/10.1080/10400435.2012.659792
de Reuver, M., Verschuur, E., Nikayin, F., Cerpa, N., & Bouwman, H. (2015). Collective action for mobile payment platforms: a case study on collaboration issues between banks and telecom operators. Electronic Commerce Research and Applications, 14(5), 331-344. https://doi.org/10.1016/j.elerap.2014.08.004
Deci, E.L., Koestner, R., & Ryan, R.M. (1999). A meta-analytic review of experiments examining the effects of extrinsic rewards on intrinsic motivation. Psychological Bulletin, 125(6), 627-668, 692-700. https://doi.org/10.1037/0033-2909.125.6.627
Deci, E.L., & Ryan, R.M. (1985). The general causality orientations scale: self-determination in personality. Journal of Research in Personality, 19(2), 109-134. https://doi.org/10.1016/0092-6566(85)90023-6
Deci, E.L., & Ryan, R.M. (2000). The "What" and "Why" of goal pursuits: human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227-268. https://doi.org/10.1207/S15327965PLI1104_01
Ellis, D. (1989). A behavioral approach to information retrieval system design. Journal of Documentation, 45(3), 171-212. https://doi.org/10.1177/016555158901500406
El-shinnawy, M., & Markus, M.L. (1997). The poverty of media richness theory: explaining people’s choice of electronic mail vs. voice mail. International Journal of Human-Computer Studies, 46(4), 443-467. https://doi.org/10.1006/ijhc.1996.0099
Fahey, R., Vasconcelos, A.C., & Ellis, D. (2007). The impact of rewards within communities of practice: a study of the SAP online global community. Knowledge Management Research & Practice, 5(3), 186-198. https://doi.org/10.1057/palgrave.kmrp.8500140
Fang, K., Lin, Y., & Chuang, T. (2009). Why do internet users play massively multiplayer online role-playing games? A mixed method. Management Decision, 47(8), 1245–1260. https://doi.org/10.1108/00251740910984523
Finkel, S.E., Muller, E.N., & Opp, K-D. (1989). Personal influence, collective rationality, and mass political action. American Political Science Review, 83(3), 885-903. https://doi.org/10.2307/1962065
Fireman, B., & Gamson, W.A. (1977). Utilitarian Logic in the Resource Mobilization Perspective. University of Michigan. (CRSO Working Paper #I53). https://deepblue.lib.umich.edu/bitstream/handle/2027.42/50928/153.pdf?isAllowed=y&sequence=1 (Internet Archive)
Foray, D. (1994). Users, standards and the economics of coalitions and committees. Information Economics and Policy, 6(3), 269-293. https://doi.org/10.1016/0167-6245(94)90005-1
Ford, N. (2015). Introduction to information behaviour. Facet Publishing.
Frey, B., & Jegen, R. (2001). Motivation crowding theory: a survey of empirical evidence. Journal of Economic Surveys, 15(5), 589-611. http://dx.doi.org/10.2139/ssrn.203330
Frey, B., & Oberholzer-Gee, F. (1997). The cost of price incentives: an empirical analysis of motivation crowding-out. American Economic Review, 87(4), 746-755. https://www.jstor.org/stable/2951373?seq=1 (Internet Archive)
Froehle, C.M., & Roth, A.V. (2004). New measurement scales for evaluating perceptions of the technology-mediated customer service experience. Journal of Operations Management, 22(1), 1-21. https://doi.org/10.1016/j.jom.2003.12.004
Fu, C., & Wu, W. (2010). The means-end cognitions of web advertising: a cross-cultural comparison. Online Information Review, 34(5), 686-703. https://doi.org/10.1108/14684521011084573
Ganesan, S., Malter, A.J., & Rindfleisch, A. (2005). Does distance still matter? geographic proximity and new product development. Journal of Marketing, 69(4), 44-60. https://doi.org/10.1509/jmkg.2005.69.4.44
Garnefeld, I., Iseke, A., & Krebs, A. (2012). Explicit incentives in online communities: boon or bane? International Journal of Electronic Commerce, 17(1), 11-38. https://doi.org/10.2753/JEC1086-4415170101
Georgellis, Y., Iossa, E., & Tabvuma, V. (2011). Crowding out intrinsic motivation in the public sector. Journal of Public Administration Research & Theory, 21(3), 473-493. https://doi.org/10.1093/JOPART/MUQ073
Gladwin, C.H. (1976). A view of the plan Puebla: an application of hierarchical decision models. American Journal of Agricultural Economics, 58(5), 881–87. https://doi.org/10.2307/1239987
Gladwin , C.H. (1983). Contributions of Decision-Tree Methodology to a Farming Systems Program. Human Organization, 42(2), 146–157. http://www.jstor.org/stable/44125873 (Archived by the Internet Archive at https://web.archive.org/web/20221003140856/https://www.jstor.org/stable/44125873)
Gladwin, C.H. (1989). Ethnographic decision tree modeling. Sage Publications.
Gladwin, C.H. (2008). Contributions of decision-tree methodology to a farming systems program. Human Organization, 42(2), 146-157. https://doi.org/10.17730/humo.42.2.ukgm744531385477
Gladwin, C.H., Peterson, J. S., & Mwale, A. C. (2002). The quality of science in participatory research: a case study from eastern zambia. World Development, 30(4), 523-543. https://doi.org/10.1016/S0305-750X(02)00002-5
Gneezy, U., & Rustichini, A. (2000). Pay enough or don’t pay at all. Quarterly Journal of Economics, 115(3), 791-810. https://doi.org/10.1162/003355300554917
Graneheim, U.H., & Lundman, B. (2004). Qualitative content analysis in nursing research: concepts, procedures and measures to achieve trustworthiness. Nurse Education Today, 24(2), 105-112. https://doi.org/10.1016/j.nedt.2003.10.001
Gronroos, C. (1990). Service management and marketing. Lexington Books.
Grove, S.J., Fisk, Raymond. P., & Bitner, M. J. (1992). Dramatizing the service experience: a managerial approach. In T. A. Swartz, S. W. Brown, & D. E. Bowen (Eds.), Advances in services marketing and management (Vol. 1, pp. 91-121). JAI Press.
Gutman, J. (1982). A means-end chain model based on consumer categorization processes. Journal of Marketing, 46(2), 60-72. https://doi.org/10.1177/002224298204600207
Hampton, K., & Wellman, B. (2003). Neighboring in Netville: how the internet supports community and social capital in a wired suburb. City & Community, 2(4), 277-311. https://doi.org/10.1046/j.1535-6841.2003.00057.x
Hinds, P., & Kiesler, S. (1995). Communication across boundaries: work, structure, and use of communication technologies in a large organization. Organization Science, 6(4), 373-393. https://doi.org/10.1287/orsc.6.4.373
Howard, J.A. (1977). Consumer behavior: application of theory. McGraw-Hill Inc.
Huang, H-C., Lin, T-H., Lai, M-C., & Lin, T-L. (2014). Environmental consciousness and green customer behavior: an examination of motivation crowding effect. International Journal of Hospitality Management, 40, 139-149. https://doi.org/10.1016/j.ijhm.2014.04.006
Ieva, M., & Ziliani, C. (2018). Mapping touchpoint exposure in retailing: implications for developing an omnichannel customer experience. International Journal of Retail & Distribution Management, 46(3), 304-322. https://doi.org/10.1108/IJRDM-04-2017-0097
Inbar, O., & Tractinsky, N. (2012). Lowering the line of visibility: incidental users in service encounters. Behaviour & Information Technology, 31(3), 245-260. https://doi.org/10.1080/0144929X.2011.563796
Jacko, J., & Sears, A. (2003). The human-computer interaction handbook: fundamentals, evolving technologies and emerging applications. Lawrence Erlbaum Associates.
Jeppesen, L.B., & Frederiksen, L. (2006). Why do users contribute to firm-hosted user communities? The case of computer-controlled music instruments. Organization Science, 17(1), 45-63. https://doi.org/10.1287/orsc.1050.0156
Johnson, J., & Williams, M.L. (1993). A preliminary ethnographic decision tree model of injection drug users’ (IDUs) needle sharing. Substance Use and Misuse, 28(10), 997-1014. https://doi.org/10.3109/10826089309062179
Jung, E.H., Walden, J., Johnson, A.C., & Sundar, S.S. (2017). Social networking in the aging context: why older adults use or avoid Facebook. Telematics and Informatics, 34(7), 1071-1080. https://doi.org/10.1016/j.tele.2017.04.015
Kahai, S.S., & Cooper, R.B. (2003). Exploring the core concepts of media richness theory: the impact of cue multiplicity and feedback immediacy on decision quality. Journal of Management Information Systems, 20(1), 263-299. https://doi.org/10.1080/07421222.2003.11045754
Kang, M., Kim, Y-G., & Bock, G-W. (2010). Identifying different antecedents for closed vs. open knowledge transfer. Journal of Information Science, 36(5), 585-602. https://doi.org/10.1177/0165551510375667
Kavanaugh, A.L., Reese, D.D., Carroll, J.M., & Rosson, M.B. (2005). Weak ties in networked communities. The Information Society, 21(2), 119-131. https://doi.org/10.1080/01972240590925320
Kelly, G.A. (1955). The psychology of personal constructs. Norton.
Klein, S., & Schellhammer, S. (2011). Developing IOIS as collective action: a cross-country comparison in the health care sector. Hawaii International Conference on System Sciences, Kauai, HI, United States, January 4-7, 2011. https://doi.org/10.1109/HICSS.2011.162
Kuang, L., Huang, N., Hong, Y., & Yan, Z. (2019). Spillover effects of financial incentives on non-incentivized user engagement: evidence from an online knowledge exchange platform. Journal of Management Information Systems, 36(1), 289-320. https://doi.org/10.1080/07421222.2018.1550564
Lan, Y-F., Hung, C-L., & Hsu, H-J. (2011). Effects of guided writing strategies on students’ writing attitudes based on media richness theory. Turkish Online Journal of Educational Technology, 10(4), 148-164. https://eric.ed.gov/?id=EJ946620 (Internet Archive)
Lee, A.S. (1994). Electronic mail as a medium for rich communication: an empirical investigation using hermeneutic interpretation. MIS Quarterly, 18(2), 143-157. https://doi.org/10.2307/249762
Lee, W-H., & Lin, Y-H. (2019). Online communication of visual information: stickers’ functions of self-expression and conspicuousness. Online Information Review, 44(1), 43-61. https://doi.org/10.1108/OIR-08-2018-0235
Lin, C., & Liao, Y. (2010). Guiding the content of tourism web advertisements on a search engine results page. Online Information Review, 34(2), 263-281. https://doi.org/10.1108/14684521011036981
Lin, W-B. (2007). The exploration of customer satisfaction model from a comprehensive perspective. Expert Systems with Applications, 33(1), 110-121. https://doi.org/10.1016/j.eswa.2006.04.021
Lin, Y-L., & Lin, H-W. (2017). Learning results and terminal values from the players of SimCity and The Sims. Behaviour & Information Technology, 36(2), 209-222. https://doi.org/10.1080/0144929X.2016.1208772
Liu, S-H., Liao, H-L., & Pratt, J.A. (2009). Impact of media richness and flow on e-learning technology acceptance. Computers & Education, 52(3), 599-607. https://doi.org/10.1016/j.compedu.2008.11.002
Liu, Y., Tan, C-H., & Sutanto, J. (2018). A media symbolism perspective on the choice of social sharing technologies. Electronic Commerce Research and Applications, 29, 19-29. https://doi.org/10.1016/j.elerap.2018.03.001
Lupia, A., & Sin, G. (2003). Which public goods are endangered?: how evolving communication technologies affect the logic of collective action. Public Choice, 117(3), 315-331. https://doi.org/10.1023/B:PUCH.0000003735.07840.c7
Lynch, J.G., & Ariely, D. (2000). Wine online: search costs affect competition on price, quality, and distribution. Marketing Science, 19(1), 83-103. https://doi.org/10.1287/mksc.19.1.83.15183
Markus, M.L., Steinfield, C.W., Wigand, R.T., & Minton, G. (2006). Industry-wide information systems standardization as collective action: the case of the U.S. residential mortgage industry. MIS Quarterly, 30(SI), 439-465. https://doi.org/10.2307/25148768
March, J.G. (2009). Primer on decision making: how decisions happen. Free Press.
Marwell, G., & Oliver, P.E. (1993). The critical mass in collective action: a micro-social theory. Cambridge University Press.
Massad, N., Heckman, R., & Crowston, K. (2006). Customer satisfaction with electronic service encounters. International Journal of Electronic Commerce, 10(4), 73-104. https://doi.org/10.2753/JEC1086-4415100403
Medina, L.F. (2013). The analytical foundations of collective action theory: a survey of some recent developments. Annual Review of Political Science, 16(1), 259-283. https://doi.org/10.1146/annurev-polisci-032311-110742
Mishra, J.L. (2014). Factors affecting group decision making: an insight on information practices by investigating decision making process among tactical commanders. Information Research, 19(4), Special supplement: Proceedings of ISIC, the information behaviour conference, Leeds, 2-5 September, 2014: Part 1. http://www.informationr.net/ir/19-4/isic/isic10.html#.Yk7ZxShByMp (Internet Archive)
Muir-Herzig, R.G. (2004). Technology and its impact in the classroom. Computers & Education, 42(2), 111-131. https://doi.org/10.1016/S0360-1315(03)00067-8
Murray-Prior, R. (1998). Modelling farmer behaviour: a personal construct theory interpretation of hierarchical decision models. Agricultural Systems, 57(4), 541-556. https://doi.org/10.1016/S0308-521X(98)00008-0
Mwangi, B.J., & Brown, I. (2015). A decision model of Kenyan SMEs' consumer choice behavior in relation to registration for a mobile banking service: a contextual perspective. Information Technology for Development, 21(2), 229-252. https://doi.org/10.1080/02681102.2013.874320
Nov, O., Arazy, O., & Anderson, D. (2014). Scientists@Home: what drives the quantity and quality of online citizen science participation? PloS One, 9(4), e90375. https://doi.org/10.1371/journal.pone.0090375
Olson, M. (1965). The logic of collective action: public goods and the theory of groups. Harvard University Press.
Olson, J.C., & Reynolds, T.J. (1983). Understanding consumers’ cognitive structures: implications for marketing strategy. In L. Percy, L. & A. G. Woodside (Eds), Advertising and consumer psychology (pp. 77-90). Lexington Books.
Olsson, A.R. (2009). Relational rewards and communicative planning: understanding actor motivation. Planning Theory, 8(3), 263–281. http://www.jstor.org/stable/26166220 (Internet Archive)
Oliver, P.E. (1993). Formal models of collective action. Annual Review of Sociology, 19(1), 271-300. https://doi.org/10.1146/annurev.so.19.080193.001415
Osterloh, M., & Rota, S. (2007). Open source software development—just another case of collective invention? Research Policy, 36(2), 157-171. https://doi.org/10.1016/j.respol.2006.10.004
Parasuraman, A., Zeithaml, V.A., & Malhotra, A. (2005). E-S-QUAL: a multiple-item scale for assessing electronic service quality. Journal of Service Research, 7(3), 213-233. https://doi.org/10.1177/1094670504271156
Park, I., Cho, J., & Rao, H.R. (2012). The effect of pre- and post-service performance on consumer evaluation of online retailers. Decision Support Systems, 52(2), 415-426. https://doi.org/10.1016/j.dss.2011.10.001
Pedersen, M.J., & Nielsen, C.V. (2016). Improving survey response rates in online panels: effects of low-cost incentives and cost-free text appeal interventions. Social Science Computer Review, 34(2), 229-243. https://doi.org/10.1177/0894439314563916
Prykop, C., & Heitmann, M. (2006). Designing mobile brand communities: concept and empirical illustration. Journal of Organizational Computing and Electronic Commerce, 16(3-4), 301-323. https://doi.org/10.1080/10919392.2006.9681205
Rajiv, D.B, & Robert, J.K. (2004). The evolution of research on information systems: a fiftieth year survey of the literature in management science. Management Science, 50(3), 281-298. https://doi.org/10.1287/mnsc.1040.0206
Rau, P-L.P., Gao, Q., & Wu, L-M. (2008). Using mobile communication technology in high school education: motivation, pressure, and learning performance. Computers & Education, 50(1), 1-22. https://doi.org/10.1016/j.compedu.2006.03.008
Rehnen, L-M., Bartsch, S., Kull, M., & Meyer, A. (2017). Exploring the impact of rewarded social media engagement in loyalty programs. Journal of Service Management, 28(2), 305-328. https://doi.org/10.1108/JOSM-10-2015-0338
Rice, R.E., & Shook, D.E. (1990). Relationships of job categories and organizational levels to use of communication channels, including electronic mail: a meta-analysis and extension. Journal of Management Studies, 27(2), 195-229. https://doi.org/10.1111/j.1467-6486.1990.tb00760.x
Rokeach, M. (1968). Beliefs, attitudes and values: a theory of organization and change. Jossey-Bass Inc Pub.
Rokeach, M. (1973). The nature of human values. Zondervan Pub. House.
Rowe, F. (2014). What literature review is not: diversity, boundaries and recommendations. European Journal of Information Systems, 23(3), 241–255. https://doi.org/10.1057/ejis.2014.7
Ryan, G.W., & Bernard, H.R. (2006). Testing an ethnographic decision tree model on a national sample: recycling beverage cans. Human Organization, 65(1), 103-114. https://doi.org/10.17730/humo.65.1.884p8d1a2hxxnk79
Sandell, R., & Stern, C. (1998). Group size and the logic of collective action: a network analysis of a Swedish temperance movement 1896-1937. Rationality and Society, 10(3), 327-345. https://doi.org/10.1177/104346398010003003
Sauermann, H., & Roach, M. (2013). Increasing web survey response rates in innovation research: an experimental study of static and dynamic contact design features. Research Policy, 42(1), 273-286. https://doi.org/10.1016/j.respol.2012.05.003
Savicki, V., & Kelley, M. (2000). Computer mediated communication: gender and group composition. CyberPsychology & Behavior, 3(5), 817-826. https://doi.org/10.1089/10949310050191791
Savolainen, R. (1995). Everyday life information seeking: approaching information seeking in the context "way of life". Library and Information Science Research, 17(3), 259-294. https://doi.org/10.1016/0740-8188(95)90048-9
Scherer, A., Wünderlich, N., & Von Wangenheim, F. (2015). The value of self-service: long-term effects of technology-based self-service usage on customer retention. MIS Quarterly, 39(1), 177-200. https://doi.org/10.25300/MISQ/2015/39.1.08
Senyo, P.K., Liu, K., & Effah, J. (2019). Digital business ecosystem: literature review and a framework for future research. International Journal of Information Management, 47, 52–64. https://doi.org/10.1016/j.ijinfomgt.2019.01.002
Shannon, C.E. (1948). A mathematical theory of communication. The Bell System Technical Journal, 27(3),379-423. https://doi.org/10.1002/j.1538-7305.1948.tb01338.x
Shostack, G.L. (1984). Designing services that deliver. Harvard Business Review, 62(1), 133-139. https://hbr.org/1984/01/designing-services-that-deliver (Internet Archive)
Shostack, G.L. (1985). Planning the service encounter. Lexington Books.
Simon, S.J., & Peppas, S.C. (2004). An examination of media richness theory in product Web site design: an empirical study. Info, 6(4), 270-281. https://doi.org/10.1108/14636690410555672
Solomon, M.R., Surprenant, C., Czepiel, J.A., & Gutman, E.G. (1985). A role theory perspective on dyadic interactions: the service encounter. Journal of Marketing, 49(1), 99-111. https://doi.org/10.1177/002224298504900110
Spaeth, S., Haefliger, S., von Krogh, G., & Renzl, B. (2008). Communal resources in open source software development. Information Research, 13(1), paper 332. http://InformationR.net/ir/13-1/paper332.html (Internet Archive)
Spradley, J. (1979). The ethnographic interview. Holt, Rinehart, & Wilson.
Stein, A., & Ramaseshan, B. (2016). Towards the identification of customer experience touch point elements. Journal of Retailing and Consumer Services, 30, 8-19. https://doi.org/10.1016/j.jretconser.2015.12.001
Sun, P., Cheng, H. K., & Finger, G. (2009). Critical functionalities of a successful e-learning system—an analysis from instructors’ cognitive structure toward system usage. Decision Support Systems, 48(1), 293-302. https://doi.org/10.1016/j.dss.2009.08.007
Sun, P-C., & Cheng, H.K. (2007). The design of instructional multimedia in e-Learning: a media richness theory-based approach. Computers & Education, 49(3), 662-676. https://doi.org/10.1016/j.compedu.2005.11.016
Tan, W-K., Tan, C-H., & Teo, H-H. (2012). Conveying information effectively in a virtual world: Insights from synthesized task closure and media richness. Journal of the American Society for Information Science and Technology, 63(6), 1198-1212. https://doi.org/10.1002/asi.22600
Tang, S-H., & Hall, V.C. (1995). The over-justification effect: a meta-analysis. Applied Cognitive Psychology, 9(5), 365-404. https://doi.org/10.1002/acp.2350090502
Titmuss, R. M. (1970). The gift relationship. Allen and Unwin.
Tong, Y., Wang, X., & Teo, H-h. (2007). Understanding the intention of information contribution to online feedback systems from social exchange and motivation crowding perspectives. 2007 40th Annual Hawaii International Conference on System Sciences (HICSS'07), pp. 28-28, Waikoloa, Big Island, Hawaii, January 3-6, 2007. https://doi.org/10.1109/HICSS.2007.585
Trevino, L.K., Daft, R.L., & Lengel, R.H. (1990). Understanding managers' media choices: a symbolic interactionist perspective. In J. Fulk, & C. Steinfield (Eds.), Organizations and communication technology (pp. 71-94). SAGE Publications, Inc.
Truman, D.B. (1981). The governmental process: political interests and public opinion. Greenwood Press.
Tseng, F-C., Cheng, T.C.E., Li, K., & Teng, C-I. (2017). How does media richness contribute to customer loyalty to mobile instant messaging? Internet Research, 27(3), 520-537. https://doi.org/10.1108/IntR-06-2016-0181
Van Mechelen, M., Derboven, J., Laenen, A., Willems, B., Geerts, D., & Vanden Abeele, V. (2017). The GLID method: moving from design features to underlying values in co-design. International Journal of Human-Computer Studies, 97, 116-128. https://doi.org/10.1016/j.ijhcs.2016.09.005
Vanden Abeele, V., Zaman, B., & De Grooff, D. (2012). User eXperience Laddering with preschoolers: Unveiling attributes and benefits of cuddly toy interfaces. Personal and Ubiquitous Computing, 16(4), 451-465. https://doi.org/10.1007/s00779-011-0408-y
Verhagen, T., Nes, J.V., Feldberg, F., & Dolen, W.V. (2014). Virtual customer service agents: using social presence and personalization to shape online service encounters. Journal of Computer-Mediated Communication, 19(3), 529-545. https://doi.org/10.1111/jcc4.12066
Vickery, S.K., Droge, C., Stank, T.P., Goldsby, T.J., & Markland, R.E. (2004). The performance implications of media richness in a business-to-business service environment: direct versus indirect effects. Management Science, 50(8), 1106-1119. https://doi.org/10.1287/mnsc.1040.0248
Vilnai-Yavetz, I., & Levina, O. (2018). Motivating social sharing of e-business content: intrinsic motivation, extrinsic motivation, or crowding-out effect? Computers in Human Behavior, 79, 181-191. https://doi.org/10.1016/j.chb.2017.10.034
Vinson, D.E., Scott, J.E., & Lamont, L.M. (1977). The role of personal values in marketing and consumer behavior. Journal of Marketing, 41(2), 44-50. https://doi.org/10.1177/002224297704100215
Walia, N., Srite, M., & Huddleston, W. (2016). Eyeing the web interface: the influence of price, product, and personal involvement. Electronic Commerce Research, 16(3), 297-333. https://doi.org/10.1007/s10660-015-9200-9
Wang, C-H., & Chen, R.C-C. (2011). A MPCDM-enabled product concept design via user involvement approach. Concurrent Engineering, 19(1), 19-34. https://doi.org/10.1177/1063293X10389791
Ward, J.C., & Ostrom, A.L. (2006). Complaining to the masses: the role of protest framing in customer-created complaint web sites. Journal of Consumer Research, 33(2), 220-230. https://doi.org/10.1086/506303
Warkentin, M., & Beranek, P.M. (1999). Training to improve virtual team communication. Information Systems Journal, 9(4), 271-289. https://doi.org/10.1046/j.1365-2575.1999.00065.x
Wasko, M.M., Teigland, R., & Faraj, S. (2009). The provision of online public goods: examining social structure in an electronic network of practice. Decision Support Systems, 47(3), 254-265. https://doi.org/10.1016/j.dss.2009.02.012
Webster, J., & Watson, R.T. (2002). Analyzing the past to prepare for the future: writing a literature review. MIS Quarterly, 26(2), 13-23. https://doi.org/10.2307/4132319
Weiss, M., & Cargill, C. (1992). Consortia in the standards development process. Journal of the American Society for Information Science, 43(8), 559-565. https://doi.org/10.1002/(SICI)1097-4571(199209)43:8<559::AID-ASI7>3.0.CO;2-P
Wiersma, U.J. (1992). The effects of extrinsic rewards in intrinsic motivation: a meta-analysis. Journal of Occupational and Organizational Psychology, 65(2), 101-114. https://doi.org/10.1111/j.2044-8325.1992.tb00488.x
Wiesche, M., Jurisch, M.C., Yetton, P.W., & Krcmar, H. (2017). Grounded theory methodology in information systems research. MIS Quarterly, 41(3), 685-701. https://doi.org/10.25300/MISQ/2017/41.3.02
Wilson, T.D. (2000). Human information behavior. Informing science, 3(2),49-56. https://doi.org/10.28945/576
Wilson, T.D., & Maceviciute, E. (2013). Theory in information behaviour research. Eiconics Ltd.
Woodside, A.G., & Baxter, R. (2013). Achieving accuracy, generalization-to-contexts, and complexity in theories of business-to-business decision processes. Industrial Marketing Management, 42(3), 382-393. https://doi.org/10.1016/j.indmarman.2013.02.004
Wu, P.F. (2019). Motivation crowding in online product reviewing: A qualitative study of amazon reviewers. Information & Management, 56(8), 103163. https://doi.org/10.1016/j.im.2019.04.006
Xu, P., Chen, L., & Santhanam, R. (2015). Will video be the next generation of e-commerce product reviews? Presentation format and the role of product type. Decision Support Systems, 73, 85-96. https://doi.org/10.1016/j.dss.2015.03.001
Young, S., & Feigin, B. (1975). Using the benefit chain for improved strategy formulation. Journal of Marketing, 39(3), 72-74. https://doi.org/10.1177/002224297503900315
Zachary, D.A., Palmer, A.M., Beckham, S.W., & Surkan, P.J. (2013). A framework for understanding grocery purchasing in a low-income urban environment. Qualitative Health Research, 23(5), 665-678. https://doi.org/10.1177/1049732313479451
Zakaria, N. (2017). Emergent patterns of switching behaviors and intercultural communication styles of global virtual teams during distributed decision making. Journal of International Management, 23(4), 350-366. https://doi.org/10.1016/j.intman.2016.09.002
Zeithaml, V.A. (1988). Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence. Journal of Marketing, 52(3), 2-22. https://doi.org/10.2307/1251446
