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Corporations, to keep their customers, need to balance the power of information with privacy.

Uses benefit needs to segment the online marketing market. Employs focus groups and a random sampling survey to search for consumer benefit needs and then segments the market by these benefits sought by customers. Shows that the various segments display significant differences in the benefits sought, lifestyles and demographics etc. Suggests that this work can assist marketing managers to focus on one or more segments that show salient consumer preferences for the benefits provided by their products or services.

As traditional organizations using their websites for eCommerce transactions are increasing at an exponential rate, privacy concerns of users are also on the rise. To gain an insight into these concerns, existing policies and legislation, we conducted the research reported in this paper, in 2003. To augment the literature synthesis, a multiple case study analysis was conducted, based on six large organisations in Australia. Our research findings suggested that in the Australian context, an online privacy policy (OPP) on the website which complies with the Privacy Act, supported by few best practices are reasonably able to address online privacy concerns. However, these findings are restricted in time frame, indicative and relevant in the Australian context. Nevertheless, we hope to stimulate academic research enquiry and discussion forums through this research.

Identifies a set of expectations about information technology (IT) adoption and usage in work groups, based on prior theory. Describes a longitudinal study on the adoption and usage of asynchronous technologies in small face‐to‐face groups. Compares observations with expectations. Concludes that expectations were generally supported except in one case, where file transfer was used synchronously to support face‐to‐face interaction. Observed one use of asynchronous technology to maintain social distance because of poor relationships. Discusses the implications of the findings. Offers possible areas of future research.

The purpose of this paper is to examine antecedents of consumer online spending.

A sample of 766 college students in the USA completed surveys using intercept interviews on a college campus. The research examines the consumer's level of technological savvy, experience with online shopping, level of confidence that online activities are not monitored, worry about other parties obtaining credit card information, comfort providing personal information online, and concern for online privacy when predicting the amount a consumer will spend online.

The findings reveal that consumer experience with online shopping and level of comfort with providing personal information online were significant predictors of the amount spent online. Surprisingly, privacy concerns were not a significant factor in online spending.

The results provide useful information to online marketers and privacy advocates by revealing factors that influence the amount spent by consumers via the internet.

This paper fills an identified gap in the literature on online shopping in that most research to date has either focused on regulatory issues or consumer demographics related to online privacy concerns.

This study aims to promote strategic maritime management as a new emerging discipline to foster research in strategic maritime issues.

An existing academic discipline maturity model is adapted by including four phases of dynamic evolutionary paths to evaluate the phase of maturity of a research discipline. The model is validated by means of two matured disciplines: strategic management and maritime economics.

It is found that the current research of strategic maritime management is at a phase of emergence of discipline and ready to move to the maturity phase. It is also found that the evolution of the path of strategic maritime management resembles the early evolution path of strategic management but lags 30 years behind. Future research directions of strategic maritime management can be referred to the research streams in the maturity phase of strategic management.

The adapted academic discipline maturity model brings in the longitudinal and dynamic perspectives of the evolution of an academic discipline, which helps maritime strategists identify gaps and opportunities and evaluate the appropriateness of applying a strategic management paradigm to a specific research topic.

The adapted academic discipline maturity model brings in the longitudinal and dynamic perspective of the evolution of an academic discipline, which helps maritime strategists define the gaps and opportunities in strategic maritime management research.

The purpose of this study is to draw concepts from marketing and information systems research and integrate them in the context of M-commerce. The authors develop a conceptual model of technology readiness (TR) affecting perceived ubiquity (PQ) (of smartphones) and PQ affecting M-commerce adoption (MA) incorporating the moderating effect of privacy concerns (PC) on the relation between PQ and MA along with the constructs perceived usefulness (PU) and perceived ease of use (PEU).

The conceptual model was formulated using a set of qualitative research procedures (four focus group discussions) and tested using two questionnaire-based surveys (with 372 and 431 respondents each) in India. Exploratory and confirmatory factor analyses were conducted followed by structural equation modeling for the quantitative data.

Results from the quantitative study indicate a significant effect of TR on PQ, PU and PEU. All three latter constructs had a significant effect on MA. A significant moderating effect of PC on the relation between PQ and MA was also observed.

The study findings enhance the literature on the antecedents of successful adoption of M-commerce and establish the role of PQ as a significant influencer of MA.

The study findings would enable service providers with a new and relevant model of M-commerce adoption.

The major contribution of the study is the development and validation of a model that has attitudinal variables related to technology usage and their relations to M-commerce adoption.