From traditional wristwatch to smartwatch: Understanding the relationship between innovation attributes, switching costs and consumers' switching intention

被引:34
作者
Bolen, Mehmet Cem [1 ]
机构
[1] Ataturk Univ, Erzurum, Turkey
关键词
Smartwatch; Traditional wristwatch; Switching intention; Switching costs; Perceived product lifetime; Innovation of diffusion theory; MOBILE PHONES GENERATION; INFORMATION-TECHNOLOGY; CONTINUANCE INTENTION; ADOPTION; BEHAVIOR; PRODUCT; MODEL; EXPERIENCE; SERVICES; LOYALTY;
D O I
10.1016/j.techsoc.2020.101439
中图分类号
D58 [社会生活与社会问题]; C913 [社会生活与社会问题];
学科分类号
摘要
Smartwatches are one of the most disruptive innovations of the past decade. However, these hi-tech gadgets fail to attract interest in the same way as smartphones, or tablet PCs. Despite optimistic market growth forecasts, smartwatches have not taken the place of traditional wristwatches until today, and the number of people who use traditional wristwatches outnumbered those who use smartwatches. This study is thus motivated to examine the factors that affect traditional wristwatch users' intentions to switch to smartwatches. Based on the Diffusion of Innovations Theory, a research model was developed involving perceived product lifetime, financial switching costs, and procedural switching costs. The proposed model was then empirically evaluated using survey data collected from 234 actual traditional wristwatch users about their perception of switching intentions to smartwatches. The findings revealed that relative advantage and financial switching costs significantly influence traditional wristwatch users' behavioral intentions to switch to smartwatches. Furthermore, financial switching costs mediated the effects of relative advantage and perceived product lifetime on the switching intention. Surprisingly, perceived product lifetime, complexity, and procedural switching costs do not have direct impacts on switching intention.
引用
收藏
页数:11
相关论文
共 100 条
[11]  
Brislin R.W., 1980, HDB CROSS CULTURAL P, V2, P389, DOI DOI 10.3390/HEALTHCARE6030093
[12]   Live fast, die young? Investigating product life spans and obsolescence in an agent-based model [J].
Brouillat, Eric .
JOURNAL OF EVOLUTIONARY ECONOMICS, 2015, 25 (02) :447-473
[13]   Consumer switching costs: A typology, antecedents, and consequences [J].
Burnham, TA ;
Frels, JK ;
Mahajan, V .
JOURNAL OF THE ACADEMY OF MARKETING SCIENCE, 2003, 31 (02) :109-126
[14]  
Cecchinato M. E., 2015, Conference on Human Factors in Computing Systems-Proceedings, P2133, DOI DOI 10.1145/2702613.2732837
[15]   Applying push-pull-mooring to investigate channel switching behaviors: M-shopping self-efficacy and switching costs as moderators [J].
Chang, Hsin Hsin ;
Wong, Kit Hong ;
Li, Shi Yu .
ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS, 2017, 24 :50-67
[16]   Consumer perception of interface quality, security, and loyalty in electronic commerce [J].
Chang, Hsin Hsin ;
Chen, Su Wen .
INFORMATION & MANAGEMENT, 2009, 46 (07) :411-417
[17]   Enticing online consumers: an extended technology acceptance perspective [J].
Chen, LD ;
Gillenson, ML ;
Sherrell, DL .
INFORMATION & MANAGEMENT, 2002, 39 (08) :705-719
[18]   An empirical investigation of users' voluntary switching intention for mobile personal cloud storage services based on the push-pull-mooring framework [J].
Cheng, Shuang ;
Lee, Sang-Joon ;
Choi, Beomjin .
COMPUTERS IN HUMAN BEHAVIOR, 2019, 92 :198-215
[19]   Prediction of Internet and World Wide Web usage at work: a test of an extended Triandis model [J].
Cheung, WM ;
Chang, MK ;
Lai, VS .
DECISION SUPPORT SYSTEMS, 2000, 30 (01) :83-100
[20]   Exploring switch intention of users' reading behaviour An e-book reader case study [J].
Chiang, Hsiu-Sen ;
Chen, Chia-Chen .
ELECTRONIC LIBRARY, 2014, 32 (04) :434-457