Internet of Things and social platforms: an empirical analysis from Indian consumer behavioural perspective

ABSTRACT Internet technology has flourished in India keeping pace with other developing countries. In keeping pace with this advancement, the Internet of Things (IoT) technology is also spreading in India. Government of India (GOI) has realised IoT’s business prospect and published draft policy on IoT in 2015. To achieve a better result, the prospective users are required to be kept aware regarding the prospect of IoT and for this, social media is expected to play a pivotal role. Social media can highlight advantages of IoT and in turn, these advantages would be made known to other potential users through Word of Month (WOM). This would bring in projection of a new business paradigm as contemplated by GOI. The purpose of this paper is to identify the factors affecting actual use of IoT by the potential users of India and to develop a conceptual model. The model has been verified through survey with inputs from 208 participants identified from three metropolitan cities of India. The responses have been quantified through 5-Point Likert scale. The result shows the implication that social media and WOM almost equally influence Indians to use IoT.

[1]  Yogesh Kumar Dwivedi,et al.  The effect of telepresence, social presence and involvement on consumer brand engagement: An empirical study of non-profit organizations , 2018 .

[2]  Victoria D. Bush,et al.  What We Know and Don't Know about Online Word-of-Mouth: A Review and Synthesis of the Literature , 2014 .

[3]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[4]  Sammy W. Pearson,et al.  Development of a Tool for Measuring and Analyzing Computer User Satisfaction , 1983 .

[5]  Matti Rossi,et al.  Mobile Games: Analyzing the Needs and Values of the Consumers , 2010 .

[6]  Dong-Hee Shin,et al.  The role of personalization, engagement, and trust in online communities , 2016, Inf. Technol. People.

[7]  R. Bagozzi,et al.  On the evaluation of structural equation models , 1988 .

[8]  Patricia J. Guinan,et al.  Marketing Using Web 2.0 , 2008, Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008).

[9]  I. Ajzen The theory of planned behaviour: Reactions and reflections , 2011, Psychology & health.

[10]  Pethuru Raj,et al.  The Internet of Things: Enabling Technologies, Platforms, and Use Cases , 2017 .

[11]  W. R. Dillon,et al.  A simulation study to investigate the use of cutoff values for assessing model fit in covariance structure models , 2005 .

[12]  Matthew K. O. Lee,et al.  What drives consumers to spread electronic word of mouth in online consumer-opinion platforms , 2012, Decis. Support Syst..

[13]  Nigel K. L. Pope,et al.  Buying or browsing? An exploration of shopping orientations and online purchase intention , 2003 .

[14]  Theodore Tryfonas,et al.  Embedding security practices in contemporary information systems development approaches , 2001, Inf. Manag. Comput. Secur..

[15]  Wendy W. Moe,et al.  The Influence of Goal‐Directed and Experiential Activities on Online Flow Experiences , 2003 .

[16]  H. Celik WHAT DETERMINES TURKISH CUSTOMERS ACCEPTANCE OF INTERNET BANKING , 2008 .

[17]  Nils Urbach,et al.  Structural Equation Modeling in Information Systems Research Using Partial Least Squares , 2010 .

[18]  Madhurima Deb,et al.  An empirical examination of customers’ adoption of m-banking in India , 2014 .

[19]  Barry J. Babin,et al.  Modeling consumer satisfaction and word‐of‐mouth: restaurant patronage in Korea , 2005 .

[20]  Chechen Liao,et al.  Shopping motivations on Internet: A study based on utilitarian and hedonic value , 2007 .

[21]  John Hulland,et al.  Use of partial least squares (PLS) in strategic management research: a review of four recent studies , 1999 .

[22]  Paul A. Pavlou,et al.  Understanding and Predicting Electronic Commerce Adoption: An Extension of the Theory of Planned Behavior , 2006, MIS Q..

[23]  Wynne W. Chin Issues and Opinion on Structural Equation Modeling by , 2009 .

[24]  R. Peterson A Meta-analysis of Cronbach's Coefficient Alpha , 1994 .

[25]  Yu-Hsiu Hung,et al.  Effects of Facebook Like and Conflicting Aggregate Rating and Customer Comment on Purchase Intentions , 2015, HCI.

[26]  G Larry Sanders,et al.  MIS/DSS success measure , 1984 .

[27]  Timothy R. Hinkin A Review of Scale Development Practices in the Study of Organizations , 1995 .

[28]  Xianggui Qu,et al.  Multivariate Data Analysis , 2007, Technometrics.

[29]  Jaemin Han,et al.  A Framework for Analyzing Customer Value of Internet Business , 2001 .

[30]  Ananth Srinivasan,et al.  Alternative Measures of Systems Effectiveness: Associations and Implications , 1985, MIS Q..

[31]  FanWeiguo,et al.  Social presence, trust, and social commerce purchase intention , 2016 .

[32]  Lida Xu,et al.  The internet of things: a survey , 2014, Information Systems Frontiers.

[33]  Arun Rai,et al.  Assessing the Validity of IS Success Models: An Empirical Test and Theoretical Analysis , 2002, Inf. Syst. Res..

[34]  S. Fournier,et al.  The Uninvited Brand , 2010 .

[35]  S. Kim,et al.  Hedonic Tendencies and the Online Consumer: An Investigation of the Online Shopping Process , 2011 .

[36]  LinZhangxi,et al.  Capturing the essence of word-of-mouth for social commerce , 2013, DSS 2013.

[37]  William J. Doll,et al.  The Measurement of End-User Computing Satisfaction , 1988, MIS Q..

[38]  Shu-Chuan Chu,et al.  Determinants of consumer engagement in electronic word-of-mouth (eWOM) in social networking sites , 2011 .

[39]  D. Kleinbaum,et al.  Applied Regression Analysis and Other Multivariate Methods , 1978 .

[40]  Erik Qualman Socialnomics: How Social Media Transforms the Way We Live and Do Business , 2009 .

[41]  Jonathan W. Palmer,et al.  Web Site Usability, Design, and Performance Metrics , 2002, Inf. Syst. Res..

[42]  Michail N. Giannakos,et al.  Shopping and Word-of-Mouth Intentions on Social Media , 2013, J. Theor. Appl. Electron. Commer. Res..

[43]  Tiffany A. Whittaker,et al.  Scale Development Research , 2006 .

[44]  Morad Benyoucef,et al.  User preferences of social features on social commerce websites: An empirical study , 2015 .

[45]  Robert Russell,et al.  A Beginner's Guide , 2016 .

[46]  Scott B. MacKenzie,et al.  Common method biases in behavioral research: a critical review of the literature and recommended remedies. , 2003, The Journal of applied psychology.

[47]  Jonah A. Berger Word of mouth and interpersonal communication: A review and directions for future research , 2014 .

[48]  J. Roldán,et al.  Applying Maximum Likelihood and PLS on Different Sample Sizes: Studies on SERVQUAL Model and Employee Behavior Model , 2010 .

[49]  Erik Brynjolfsson,et al.  Frictionless Commerce? A Comparison of Internet and Conventional Retailers , 2000 .

[50]  Margaret Tan,et al.  Factors Influencing the Adoption of Internet Banking , 2000, J. Assoc. Inf. Syst..

[51]  Neda Abasi,et al.  Information systems success: the quest for the dependent variable , 2015 .

[52]  Efraim Turban,et al.  What Drives Social Commerce: The Role of Social Support and Relationship Quality , 2011, Int. J. Electron. Commer..

[53]  Andrew M. Farrell,et al.  Insufficient Discriminant Validity: A Comment on Bove, Pervan, Beatty and Shiu (2009) , 2008 .

[54]  Jaideep Srivastava,et al.  Impact of social influence in e-commerce decision making , 2007, ICEC.

[55]  S. Balasubramanian,et al.  Perception of Indian consumers towards social media advertisements in Facebook, LinkedIn, YouTube and Twitter , 2014 .

[56]  Dianne M. Finkelstein,et al.  A Beginner's Guide to Structural Equation Modeling , 2005, Technometrics.

[57]  M. Brand,et al.  Negative consequences from heavy social networking in adolescents: The mediating role of fear of missing out. , 2017, Journal of adolescence.

[58]  Nikolaos Taskos,et al.  Branding in the Digital Age , 2018, Business Hack.

[59]  Marko Sarstedt,et al.  PLS-SEM: Indeed a Silver Bullet , 2011 .

[60]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[61]  J. Hair Multivariate data analysis : a global perspective , 2010 .

[62]  Michail N. Giannakos,et al.  Consumer Intentions on Social Media: A fsQCA Analysis of Motivations , 2016, I3E.

[63]  A. Kaplan,et al.  Users of the world, unite! The challenges and opportunities of Social Media , 2010 .

[64]  Sita Mishra,et al.  UNDERSTANDING SOCIAL MEDIA MINDSET OF CONSUMERS: AN INDIAN PERSPECTIVE , 2015 .

[65]  Ping Zhang,et al.  The Evolution of Social Commerce: The People, Management, Technology, and Information Dimensions , 2012, Commun. Assoc. Inf. Syst..

[66]  M. Gilly,et al.  Shopping Online for Freedom, Control, and Fun , 2001 .

[67]  William R. King,et al.  ASSESSING INFORMATION SYSTEM VALUE: AN EXPERIMENTAL STUDY , 1983 .

[68]  Mo Adam Mahmood,et al.  System Development Methods - A Comparative Investigation , 1987, MIS Q..

[69]  Adrian Palmer,et al.  Introduction to Marketing: Theory and Practice , 2003 .

[70]  S. Carpenter,et al.  Ten Steps in Scale Development and Reporting: A Guide for Researchers , 2018 .

[71]  Lukas Furst,et al.  Multivariate Data Analysis With Readings , 2016 .

[72]  Stuart Dillon,et al.  Perceived Risk, the Internet Shopping Experience and Online Purchasing Behavior: A New Zealand Perspective , 2005, J. Glob. Inf. Manag..

[73]  Rajiv Kohli,et al.  Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics , 2002, Inf. Syst. Res..

[74]  Jorgen P. Bansler,et al.  Corporate Intranet Implementation: Managing Emergent Technologies and Organizational Practices , 2000, J. Assoc. Inf. Syst..

[75]  T. E. Dinero Scale development. , 1996, Journal of health & social policy.

[76]  I. Ajzen The theory of planned behavior , 1991 .

[77]  Rex B. Kline,et al.  Principles and Practice of Structural Equation Modeling , 1998 .

[78]  James H. Steiger,et al.  Understanding the limitations of global fit assessment in structural equation modeling , 2007 .

[79]  Morad Benyoucef,et al.  Consumer behavior in social commerce: A literature review , 2016, Decis. Support Syst..

[80]  August E. Grant,et al.  Journalism Degree Motivations , 2016 .

[81]  Rebecca Walker Naylor,et al.  Beyond the “Like” Button: The Impact of Mere Virtual Presence on Brand Evaluations and Purchase Intentions in Social Media Settings , 2012 .

[82]  Lina Zhou,et al.  ONLINE SHOPPING ACCEPTANCE MODEL — A CRITICAL SURVEY OF CONSUMER FACTORS IN ONLINE SHOPPING , 2007 .

[83]  Celeste See Pui Ng Intention to purchase on social commerce websites across cultures: A cross-regional study , 2013, Inf. Manag..

[84]  J. Bharucha Social network use and youth well-being: a study in India , 2018 .

[85]  Robert F. DeVellis,et al.  Scale Development: Theory and Applications. , 1992 .

[86]  Jiming Chen,et al.  Smart community: an internet of things application , 2011, IEEE Communications Magazine.

[87]  Gordan Jezic,et al.  Beyond the Internet of Things: The Social Networking of Machines , 2016, Int. J. Distributed Sens. Networks.

[88]  Izak Benbasat,et al.  Empirical Assessment of Alternative Designs for Enhancing Different Types of Trusting Beliefs in Online Recommendation Agents , 2016, J. Manag. Inf. Syst..

[89]  Trevor Hastie,et al.  An Introduction to Statistical Learning , 2013, Springer Texts in Statistics.

[90]  L. Leemis Applied Linear Regression Models , 1991 .

[91]  Danah Boyd,et al.  Social Network Sites: Definition, History, and Scholarship , 2007, J. Comput. Mediat. Commun..

[92]  John P. Robinson,et al.  CHAPTER 1 – Criteria for Scale Selection and Evaluation , 1991 .

[93]  Chunling Yu,et al.  Social Media Peer Communication and Impacts on Purchase Intentions: A Consumer Socialization Framework , 2012 .

[94]  Izak Benbasat,et al.  E-Commerce Product Recommendation Agents: Use, Characteristics, and Impact , 2007, MIS Q..

[95]  Ephraim R. McLean,et al.  Information Systems Success: The Quest for the Dependent Variable , 1992, Inf. Syst. Res..

[96]  A. Wildt,et al.  Price, product information, and purchase intention: An empirical study , 1994 .

[97]  Patrick Barwise,et al.  Lo que usted debe hacer bien cuando construya una marca , 2010 .

[98]  Felix Wortmann,et al.  Internet of Things , 2015, Business & Information Systems Engineering.

[99]  Julia Wolny,et al.  Analysis of fashion consumers’ motives to engage in electronic word-of-mouth communication through social media platforms , 2013 .

[100]  Ephraim R. McLean,et al.  The DeLone and McLean Model of Information Systems Success: A Ten-Year Update , 2003, J. Manag. Inf. Syst..

[101]  Hyunsun Park,et al.  Effects of various characteristics of social commerce (s-commerce) on consumers' trust and trust performance , 2013, Int. J. Inf. Manag..

[102]  Zhangxi Lin,et al.  Capturing the essence of word-of-mouth for social commerce: Assessing the quality of online e-commerce reviews by a semi-supervised approach , 2013, Decis. Support Syst..

[103]  Charles A. Gallagher Perceptions of the Value of a Management Information System , 1974 .

[104]  Andrew N. Christopher,et al.  Mediational effects of sensation seeking on the age and financial risk-taking relationship , 2009 .

[105]  William J. Kettinger,et al.  Perceived Service Quality and User Satisfaction with the Information Services Function , 1994 .

[106]  Weiguo Fan,et al.  Social Presence, Trust, and Social Commerce Purchase Intention: an Empirical Research , 2016, PACIS.

[107]  Antonio Iera,et al.  From "smart objects" to "social objects": The next evolutionary step of the internet of things , 2014, IEEE Communications Magazine.

[108]  Yogesh Kumar Dwivedi,et al.  Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust , 2017, Int. J. Inf. Manag..

[109]  Abhijit Biswas,et al.  The effects of discount level, price consciousness and sale proneness on consumers' price perception and behavioral intention , 2002 .

[110]  Waiman Cheung,et al.  Determinants of the intention to use Internet/WWW at work: a confirmatory study , 2001, Inf. Manag..

[111]  D. Hoffman,et al.  Social Commerce: A Contingency Framework for Assessing Marketing Potential , 2013 .

[112]  Richard G. Netemeyer,et al.  Scaling Procedures: Issues and Applications , 2003 .

[113]  Heejun Park,et al.  The relationship between motivation and information sharing about products and services on Facebook , 2015, Behav. Inf. Technol..

[114]  J. Miller,et al.  Measuring the Effectiveness of Computer-Based Information Systems in the Financial Services Sector , 1987, MIS Q..

[115]  Detmar W. Straub,et al.  A Practical Guide To Factorial Validity Using PLS-Graph: Tutorial And Annotated Example , 2005, Commun. Assoc. Inf. Syst..

[116]  Cynthia K. Riemenschneider,et al.  Executive Decisions About Adoption of Information Technology in Small Business: Theory and Empirical Tests , 1997, Inf. Syst. Res..

[117]  Marimuthu Palaniswami,et al.  Internet of Things (IoT): A vision, architectural elements, and future directions , 2012, Future Gener. Comput. Syst..

[118]  Ned Kock,et al.  Lateral Collinearity and Misleading Results in Variance-Based SEM: An Illustration and Recommendations , 2012, J. Assoc. Inf. Syst..

[119]  N. Michaelidou,et al.  Usage, barriers and measurement of social media marketing: An exploratory investigation of small and medium B2B brands , 2011 .

[120]  Rajhans Mishra,et al.  Emerging synergies between Internet of Things and social technologies , 2018 .

[121]  Dong-Hee Shin,et al.  User experience in social commerce: in friends we trust , 2013, Behav. Inf. Technol..

[122]  Raymond R. Burke Technology and the customer interface: What consumers want in the physical and virtual store , 2002 .