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Purpose Social media users’ purchasing behaviour is yet to be fully understood by research. The purpose of this paper is to investigate how purchase intention is affected by social media user traits, cognitive factors (such as perceived control and trust) and individual beliefs, such as risk propensity and trustworthiness. Design/methodology/approach The authors propose and empirically test a model of purchase intention on social platforms. The study of over 500 active social media users finds the links between risk propensity, trust, technical efficacy and perceived control and explores the moderating effect of age and gender. Findings Purchase intention on social platforms is influenced by demographic factors, cognitive factors and beliefs. Both age and gender moderate the effects of beliefs and cognitive factors: age is a determinant of purchase intention for men, while beliefs are significant for younger women and cognitive factors are significant for older women. Research limitations/implications This study involved a cross-sectional design via online survey of social networking users. Gender differences in purchase intentions are found which are, in turn, influenced by age. Further empirical testing of social purchase intention could include less experienced users or non-users. Practical implications The results of this study provide guidance for SNS providers and technology developers in social networking commerce in terms of the different drivers of purchase intention. Originality/value Social media users’ purchasing behaviour is yet to be fully understood. The study shows that purchase intention antecedents vary between genders and age groups of users. The identified connection between users’ perceptions of social networking sites (SNS) usage of personal information and purchase behaviour has an impact on the likelihood of user engagement in social transactions.

While extant literature on privacy in social networks is plentiful, issues pertaining to information security remain largely unexplored. This paper empirically examines the relationship between online victimisation and users' activity and perceptions of personal information security on social networking services (SNS). Based on a survey of active users, we explore how behavioural patterns on social networks, personal characteristics and technical efficacy of users impact the risk of facing online victimisation. Our results suggest that users with high-risk propensity are more likely to become victims of cybercrime, whereas those with high perceptions of their ability to control information shared on SNS are less likely to become victims. The study shows that there is a negative and statistically significant association between multipurpose dominant SNS (e.g. Facebook, Google +) usage and victimisation. However, activity on the SNS for knowledge exchange (e.g. LinkedIn, Blogger) has a positive and statistically significant association with online victimisation. Our results have implications for practice as they inform the social media industry that protection of individual information security on SNS cannot be left entirely to the user. The importance of user awareness in the context of social technologies plays an important role in preventing victimisation, and social networking services should provide adequate controls to protect personal information.

In this article, we identified processes associated with strengthening the alignment between information assurance, information systems and corporate strategies so that organizations could more effectively address legal and regulatory challenges. Our results are based on data gathered from 43 preliminary interviews and a subsequent Delphi exercise. The Delphi panel rated these processes in terms of desirability and feasibility. After three rounds a consensus of opinion was achieved. The results of the Delphi together with some practical implications are presented.

This paper uses a survey of social networking users to empirically explore their perceptions of security notices - independently verified artefacts informing internet site users that security measures are taken by the site owner. We investigate such factors as purchase experience, purchase intention, risk propensity, usage of various social network categories and user victimisation. The results suggest a strong positive link between purchase intention and paying attention to security notices/features on social networks. We find that higher use of narrow-purpose social networking services has a negative association with paying attention to security notices. We also show that users with higher risk propensity pay less attention to security notices/features. Finally, we find no association between purchase experience, user victimisation and perception of security notices/features. Our results provide new, and possibly more refined, evidence of the factors that influence the attention paid to security notices/features by social media users. The results have important implications for theory development, policy and practice. We attempt to close the gap in literature on consumer behaviour in social context.We model user behaviour, risk, usage, victimisation and impact of security notices.We empirically test the proposed model using a survey of 500+ social network users.We apply an ordered probit analysis to explore the role of security notices.Notices influence users who are risk averse and willing to transact on social media.

The application of just‐in‐time manufacturing techniques in batch chemical processing environments, under conditions of variable demand, imposes significant capacity management problems. Making decisions which involve levels of customer service and resource untilization can be aided by the application of the calculation methodology outlined, which uses standard spreadsheet techniques and forecast queue analysis. Presents a case example to clarify the links between service levels and resource utilization which can aid management decisions regarding timing, levels of stocks and sizing of facilities.

Achieving alignment of risk perception, assessment, and tolerance among and between management teams within an organisation is an important foundation upon which an effective enterprise information security management strategy can be built .We argue the importance of such alignment based on information security and risk assessment literature. Too often lack of alignment dampens clean execution of strategy, eroding support during development and implementation of information security programs . We argue that alignment can be achieved by developing an understanding of enterprise risk management plans and actions, risk perceptions and risk culture. This is done by examining context, context and process. We illustrate this through the case of LeCroy Corp., illustrating how LeCroy managers perceive risk in practice, and how LeCroy fosters alignment in risk perception and execution of risk management strategy as part of an overall information security program. We show that in some circumstances diversity of risk tolerance profiles aide a management teams’ function. In other circumstances, variances lead to dysfunction. We have uncovered and quantified nonlinearities and special cases in LeCroy executive management’s risk tolerance profiles.

Summary form only as given. In the first part of the paper, a brief overview of models and their use in technology management research is given. It is argued that models are useful tools to formalise problems and test hypothesis, and also to create common standards of communication or understanding. A simple taxonomy of models is proposed. It is suggested that models can be either dynamic or static, and either soft or hard. Dynamic models are generally predictive, whilst static models are generally descriptive. The rigour used in the model building process is described by the soft or hard nature of the model. Example of models falling under each category are given, and the type of models used in technology management research is examined. Most of those fall under the 'soft' models category. A number of technology transfer models are examined. As an example, the usefulness of a model of the technology transfer processes between university and small and medium sized enterprises is then considered, and it is suggested that an understanding of the processes involved can be achieved from various types of models, but that the frame of reference in which the model is built and read is an important factor to take into account when creating and using technology transfer models. Furthermore, the assumptions buried in different forms of representation may be a barrier to the usability between different sets of groups.

Imagine an organisation faced with a particular problem whose solution requires a degree of technology or expertise not available in-house. Where can the organisation find help? Large companies are generally self sufficient in their RD understand which factors affect the identification and selection of new technology, particularly by small firms (SMEs); analyse the obstacles to technology transfer between universities and SMEs; and examine the feasibility of an electronic communication network for disseminating information about new technologies. The first part of the paper uses the idea of "configuring the user" to shed light on recent thinking (especially in government and policy) about "the problem of SMEs". The second part reports our investigation of the potential of the World Wide Web as a virtual market in technology and expertise. We conclude with some suggestions about ways of tackling the problem.