Factors affecting purchase intention on mobile shopping web sites.

  • Zhang L
  • Zhu J
  • Liu Q
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Innovations involving information technology (IT) provide potentially valuable investment opportunities for industry and government organizations. Significant uncertainties are associated with decision-making for IT investment though, a problem that senior executives have been concerned about for a long time. The uncertainties include consumer, market and regulatory responses, IT-driven changes in operational and transactional performance, technology standards and competition, and future market conditions. All these things have an impact on organizations' willingness to adopt. As a result, traditional capital budgeting, investment experience, and intuition have not been very effective in IT investment decision-making. We propose a new option-based stochastic valuation modeling approach for IT investment under uncertainty that incorporates a mean reversion process to capture cost and benefit flow variations over time. We apply the proposed approach in two industry settings: to a large-scale IT investment in the consolidation of data marts at a major airline, and to a mobile payment system infrastructure investment on the part of a start-up. The applications supported the evaluation of the proposed methods, and offered some illustrations about the kinds of managerial insights that can be obtained. We also report on several extensions that demonstrate how the creation of useful management findings from the modeling approach can be supplemented with project value sensitivity analysis and the use of simulation-based least-squares Monte Carlo valuation. The findings are useful to assess the power and value of the approach. [ABSTRACT FROM AUTHOR]

Author-supplied keywords

  • AIRLINE industry
  • Adaptivity
  • Adoption
  • BANK customers -- Attitudes
  • BRAND equity
  • BRAND image
  • BRAND loyalty
  • Brand equity
  • Brand management
  • CAPITAL investments
  • CELL phones
  • COMPUTER simulation
  • COMPUTER software
  • CONSUMER behavior
  • CONSUMER research
  • CONSUMERS -- Attitudes
  • CUSTOMER relations
  • CUSTOMER satisfaction
  • CUSTOMER services
  • Consumer behaviour
  • Context-awareness
  • DECISION making
  • DIFFUSION of innovations
  • DIFFUSION of innovations theory
  • Decision-making under uncertainty
  • Demographic profiles
  • Design aesthetics
  • ELECTRONIC commerce
  • ELECTRONIC commerce -- Management
  • EMPIRICAL research
  • Economic analysis
  • Electronic commerce
  • Extrinsic motivation
  • IDT
  • INDIVIDUAL differences
  • INFORMATION technology
  • INNOVATIONS in business
  • IT investment
  • Individual differences
  • Innovative services
  • Internet shopping
  • Intrinsic motivation
  • M-commerce attribute
  • MARKET positioning
  • MARKETING strategy
  • META-analysis
  • MOBILE agents (Computer software)
  • MOBILE apps
  • MOBILE banking industry
  • MOBILE commerce
  • MOBILE communication systems
  • MOBILE operating systems
  • Malaysia
  • Mean reversion process
  • Meta-analysis
  • Mobile banking
  • Mobile business
  • Mobile commerce
  • Mobile communication systems
  • Mobile payment
  • Mobile payment users
  • Mobile payments
  • Mobile services
  • Moderator analysis
  • NEW business enterprises
  • NUMERICAL analysis
  • ONLINE shopping
  • PRODUCT management
  • Post-use trust
  • Pre-use trust
  • Privacy
  • QUALITY of service
  • Real option analysis
  • SELF-efficacy
  • SELF-perception
  • SOCIAL aspects
  • SOFTWARE architecture
  • STRUCTURAL equation modeling
  • Security
  • System characteristics
  • TAM
  • TECHNOLOGICAL innovations
  • TECHNOLOGY Acceptance Model
  • Technology valuation
  • Trust
  • Usage
  • Usage activities
  • VALUE added (Marketing)
  • VALUE chains
  • Value chain
  • WEB design
  • WIRELESS communication systems
  • Website design
  • Website quality
  • adoption behaviour
  • consumer attitudes
  • innovation diffusion theory
  • marketing strategies
  • mobile commerce
  • mobile services
  • m–commerce
  • self efficacy
  • service innovation
  • technology acceptance model

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  • Liyi Zhang

  • Jing Zhu

  • Qihua Liu

  • Changsu Kim

  • Mirsobit Mirusmonov

  • In Lee

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