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The Effect of Innovativeness and Self-Regulatory Focus on the Use of Internet of Things

Abstract

Internet of Things(IoT) is the key technology of the hyperlinked society that enables the mutual communication among people, objects, and things based on the internet network and provides personalized services. This study is to investigate the psychological characteristics and needs of consumers who use devices with IoT in terms of consumer psychology. In particular, we examined the effect of innovativeness and self-regulatory focus on consumer satisfaction, WOM intention, and continuance intention of use. As a result, the higher level of the social innovativeness, the hedonic innovativeness, and the promotion focus people were, the more satisfied with the IoT devices and higher intention to WOM. Regarding continuance intention of use, there were significant effects of the functional innovativeness, the hedonic innovativeness, and the promotion focus. Prevention focus did not have a significant effect of satisfaction, WOM intention. and continuance intention of use. Based on the results of this study, it was found that it is important not only to improve technological aspects but also to develop entertainment elements that can help consumers to experience social affairs and to experience positive emotions in order for IoT devices to have meaningful impact on consumers' lives. In addition, we confirmed that it is necessary to provide not only information that the IoT can achieve the ideal by improving the quality of life, but also information that it can safely protect the consumers' lives and prevent the risk. Theoretical and practical implications were further discussed.

keywords
Internet of Things(IoT), Innovativeness, Self-regulatory focus, Satisfaction, WOM intention, Continuance intention of use

Reference

1.

강병석, 추현승 (2017). 최근 사물인터넷 및 드론 기술 동향에 관한 연구. 한국통신학회 학술대회논문집, 1050–1051.

2.

고윤승 (2014). 전자무역: 사물인터넷 (IoT) 의 주요국 정책과 시장전망에 관한 연구. 통상정보연구, 16(5), 27-47.

3.

김광재 (2009). DMB의 수용결정요인에 관한 연구. 한국언론학보, 53(3), 296-323.

4.

김홍범, 장호성 (2008). 관광지 방문 후 이미지가 관광객의 태도와 구전의도에 미치는 영향. 관광학연구, 32(3), 209-229.

5.

류강석, 박종철 (2004). 고객만족-구전의도의 관계에 영향을 미치는 상황요인에 관한 연구: 유대강도와 구전계기의 역할을 중심으로. 소비자학 연구, 15(3), 27-43.

6.

손승혜, 최윤정, 황하성 (2011). 기술수용모델을 이용한 초기이용자들의 스마트폰 채택 행동 연구, 한국언론학보, 55(2), 227-251.

7.

신동희, 정재열, 강성현 (2013). 사물인터넷 동향과 전망. 인터넷정보학회지, 14(2), 32- 46.

8.

신명섭, 이영주 (2015). 손목형 웨어러블 디바이스 구매의도에 영향을 미치는 요인에 관한 연구. 한국콘텐츠학회논문지, 15(5), 498-506.

9.

양윤, 김은숙 (2008). 성향 및 상황 조절초점과 과제수행 피드백이 소비자 감정에 미치는 영향. 한국심리학회지: 소비자․광고, 9(3), 407-433.

10.

유순근 (2012). 소비자의 기능적, 쾌락적 및 사회적 혁신성이 구매의도에 미치는 영향: 지각된 사용성과 성능의 매개효과. 마케팅관리연구, 17(3), 45–68.

11.

이기욱, 성창규 (2006). 유비쿼터스 센서 네트워크 기반의 상황 정보 모니터링 시스템 구현. 한국컴퓨터정보학회논문지, 11(5), 259-265.

12.

이득연 (2015). 신유형 서비스 소비자 문제연구 (ⅰ). 정책연구보고서, 1-259.

13.

이병관, 조은현 (2009). 신제품 수용에 미치는 소비자의 혁신성과 조절초점의 효과연구. 광고학연구, 20(1), 127-143.

14.

이종윤, 홍장선, 윤주현 (2015). 사물인터넷 (IoT) 사용에 대한 초기 이용자의 탐색적 유형연구. 주관성연구, (30), 89-107.

15.

이형규, 김말희, 방효찬 (2014). 사물인터넷(Internet of Things) 기술 동향 및 발전방향. 정보처리학회지, 21(2), 14–21.

16.

전종암, 김내수, 고정길, 박태준, 강호용, 표철식 (2014). IoT 디바이스 제품 및 기술 동향. 한국통신학회지(정보와통신), 31(4), 44 -52.

17.

조영신 (2016). 미디어의 입장에서 본 IoT를 둘러싼 경쟁상황과 방송 시장의 변화. 방송문화연구, 28(1), 87-120.

18.

홍석한 (2015). 사물인터넷의 주요 문제와 규범적 대응방향. 과학기술법연구, 21(3), 409-442.

19.

Al-Momani, A. M., Mahmoud, M. A., & Sharifuddin, M. (2016). Modeling the adoption of internet of things services: A conceptual framework. International Journal of Applied Research, 2(5), 361-367.

20.

Anderson, E. W. (1988). Customer satisfaction and word of mouth. Journal of Service Research, 1(1), 5-17.

21.

Anderson, E. W., & Sullivan, M. W. (1993). The antecedents and consequences of customer satisfaction for firms. Marketing Science, 12(2), 125-143.

22.

Arnett, D. B., German, S. D., & Hunt, S. D. (2003). The identity salience model of relationship marketing success: The case of nonprofit marketing. Journal of Marketing, 67(2), 89-105.

23.

Bettencourt, L. A. (1997). Customer voluntary performance: Customers as partners in service delivery. Journal of Retailing, 73(3), 383-406.

24.

Bhattacherjee, A. (2001a). An empirical analysis of the antecedents of electronic commerce service continuance. Decision Support Systems, 32(2), 201-214.

25.

Bhattacherjee, A. (2001b). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351-370.

26.

Brown, S. A., & Venkatesh, V. (2017). Model of adoption of technology in households: A baseline model test and extension incorporating household life cycle. MIS Quarterly, 29(3), 399-426.

27.

Carver, C. S., Lawrence, J. W., & Scheier, M. F. (1999). Self-discrepancies and affect: Incorporating the role of feared selves. Personality and Social Psychology Bulletin, 25(7), 783-792.

28.

Casaló, L. V., Flavián, C., & Guinalíu, M. (2008). The role of satisfaction and website usability in developing customer loyalty and positive word-of-mouth in the e-banking services. International Journal of Bank Marketing, 26(6), 399-417.

29.

Chen, S. C., Chen, H. H., & Chen, M. F. (2009). Determinants of satisfaction and continuance intention towards self-service technologies. Industrial Management & Data Systems, 109(9), 1248-1263.

30.

Chiu, C. M., Chiu, C. S., & Chang, H. C. (2007). Examining the integrated influence of fairness and quality on learners’ satisfaction and Web-based learning continuance intention. Information Systems Journal, 17(3), 271-287.

31.

Curren, M. T., & Folkes, V. S. (1987). Attributional influences on consumers' desires to communicate about products. Psychology and Marketing, 4(1), 31-45.

32.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.

33.

de Melo Pereira, F. A., Ramos, A. S. M., Gouvêa, M. A., & da Costa, M. F. (2015). Satisfaction and continuous use intention of e-learning service in Brazilian public organizations. Computers in Human Behavior, 46, 139-148.

34.

Engel, J. F., Kegerreis, R. J., & Blackwell, R. D. (1969). Word-of-mouth communication by the innovator. Jounal of Marketing, 33(3), 15-19.

35.

Gao, L., & Bai, X. (2014). A unified perspective on the factors influencing consumer acceptance of internet of things technology. Asia Pacific Journal of Marketing and Logistics, 26(2), 211- 231.

36.

Gartner. (2014, February 19). The Top 10 Strategic Technology Trends for 2014 [Online research analysis]. Retrieved from http://www. gartner.com/technology/

37.

Goldsmith, R. E., & Hofacker, C. F. (1991). Measuring consumer innovativeness. Journal of the Academy of Marketing Science, 19(3), 209- 221.

38.

Herzenstein, M., Posavac, S. S., & Brakus, J. J. (2007). Adoption of new and really new products: The effects of self-regulation systems and risk salience. Journal of Marketing Research, 44(2), 251-260.

39.

Higgins, E. T. (1997). Beyond pleasure and pain. American Psychologist, 52(12), 1280-300.

40.

Higgins, E. T., Klein, R., & Strauman, T. (1985). Self-concept discrepancy theory: A psychological model for distinguishing among different aspects of depression and anxiety. Social Cognition, 3(1), 51-76.

41.

Holmes, J. H., & Lett, J. D. Jr. (1977). Product sampling and word of mouth. Journal of Advertising Research, 17(5), 35-40.

42.

Hunt, H. K. (1977). CS/D-overview and future research directions. Conceptualization and Measurement of Consumer Satisfaction and Dissatisfaction, Cambridge, Massachusetts: Marketing Science Institute.

43.

Lee, B. K., & Kim, B. S. (2012). A study on the antecedents of continuance intention and recommendation intention in a mobile instant messanger environment. The e-Business Studies, 13(3), 499-523.

44.

Locke, E. A. (1976). The nature and causes of job satisfaction. In Handbook of Industrial and Organizational Psychology, 1297-1349.

45.

Lockwood, P., Jordan, C. H., & Kunda, Z. (2002). Motivation by positive or negative role models: Regulatory focus determines who will best inspire us. Journal of Personality and Social Psychology, 83(4), 854.

46.

Lundeen, H. K., Harmon, L. C., & McKenna-Harmon, K. M. (1995). Service recovery in commercial real estate management. Journal of Property Management, 60(3), 30-33.

47.

Magnus, S., & Sara, R. (2007). Receiving word-of-mouth from the service customer: An emotion-based effectiveness assessment. Journal of Retailing and Consumer Services, 14(2), 123- 136.

48.

Maxham, J. G. (2001). Service recovery’s influence on consumer satisfaction, positive word-of- mouth, and purchase intentions. Journal of Business Research, 54(1), 11-24.

49.

McLaughlin, J., & Skinner, D. (2000). Developing usability and utility: A comparative study of the users of new IT. Technology Analysis & Strategic Management, 12(3), 413-423.

50.

Midgley, D., & Dowling, G. R. (1978). Innovativeness: The concept and its measurement. Journal of Consumer Research, 4, 229-242.

51.

Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460-469.

52.

Oliver, R. L. (1981). Measurement and evaluation of satisfaction processes in retail settings. Journal of Retailing, 57(3), 25-48.

53.

Oliver, R. L. (1993). Cognitive, affective, and attribute bases of the satisfaction response. Journal of Consumer Research, 20(3), 418-430.

54.

Pearson, P. H. (1970). Relationship between global and specified measures of novelty seeking. Journal of Consulting and Clinical Psychology, 34, 199-204.

55.

Raju, P. S. (1980). Optimum stimulation level: Its relationship to personality, demographics and exploratory behavior. Journal of Consumer Research, 7, 272-282.

56.

Reynolds, K. E., & Beatty, S. E. (1999). Customer benefits and company consequences of customer-salesperson relationships in retailing. Journal of Retailing, 75(1), 11-32.

57.

Richins, M. L. (1983). Negative word-of-mouth by dissatisfied customers: A pilot study. Journal of Marketing, 47(1), 68-78.

58.

Roehrich, G. (2004). Consumer innovativeness: Concepts and measurements. Journal of Business Research, 57(6), 671-677.

59.

Rogers, E. M., & Shoemaker, F. (1971). Communication of Innovations: A Cross-Cultural Approach, 2nd, New York: The Free Press.

60.

Rogers, E. M. (1995). Diffusion of Innovations. New York: The Free Press.

61.

Ryu, K., Lee, H., & Gon Kim, W. (2012). The influence of the quality of the physical environment, food, and service on restaurant image, customer perceived value, customer satisfaction, and behavioral intentions. International Journal of Contemporary Hospitality Management, 24(2), 200-223.

62.

Spreng, R. A., MacKenzie, S. B., & Olshavsky, R. W. (1996). A Reexamination of determinants of consumer satisfaction. Journal of Marketing, 60(3), 15-32.

63.

Swan, J. E., & Oliver, R. L. (1989). Postpurchase communications by consumers. Journal of Retailing, 65(4), 516-534.

64.

Sweeney, J., & Soutar, G. (2001). Consumer perceived value: The development of a multiple item scale. Journal of Retailing, 77(2), 203-220.

65.

Thompson, D. V., Hamilton, R. W., & Rust, R. T. (2005). Feature fatigue: When product capabilities become too much of a good thing. Journal of Marketing Research, 42, 431-442.

66.

Tse, D. K., & Wilton, P. C. (1988). Models of consumer satisfaction formation: An extension. Journal of Marketing Research, 25(2), 204-212.

67.

Uckelmann, D., Harrison, M., & Michahelles, F. (2011). An architectural approach towards the future internet of things. Architecting the Internet of Things, 1-24.

68.

Vandecasteele, B., & Geuens, M. (2010). Motivated consumer innovativeness: Concept, measurement, and validation. International Journal of Research in Marketing, 27(4), 308-318.

69.

Venkatraman, M. P. (1991). The impact of innovativeness and innovation type on adoption. Journal of Retailing, 67(1), 51-67.

70.

Vermesan, O., Friess, P., & Furness, A. (2012). The Internet of Things 2012: New horizons. IERC 3rd Edition of Cluster Book.

71.

Wang, M. C-H. (2012). Determinants and consequences of consumer satisfaction with self-service technology in a retail setting. Managing Service Quality: An International Journal, 22(2), 128-144.

72.

Werth, L., & Förster, J. (2007). The effects of regulatory focus on braking speed. Journal of Applied Social Psychology, 37(12), 2764-2787.

73.

Westbrook, R. A. (1980). Intrapersonal affective influences on consumer satisfaction with products. Journal of Consumer Research, 7(1), 49.

74.

Zeithaml, V. A., & Bitner, M. J. (1996). Service Marketing. New York: McGraw-Hill.

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