2,662 research outputs found

    Major issues in SISP: Insights into the main reason of SISP failure

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    Blogs are increasingly being used as collaboration tools in organizations. However the quality and accuracy of the posted messages in them are still causes for concern. This study proposes a research model to investigate the factors affecting trust in posted messages and the influence of such trust on knowledge use. It suggests that users’ intention to use trusted messages can act as a moderator variable in the relationship between trust and use of the collaboration tool

    Understanding and Managing Website Information Content: The WICS Method

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    This study describes and demonstrates the Website Information Content Survey (WICS), which is intended to provide practitioners and researchers with a means of systematically describing website information content. In an exploratory survey of twenty business-to-consumer websites across five e-commerce domains, we demonstrate how the survey can be used to make cross-website comparisons that can identify potential gaps in a website’s information content. The results of this study offer actionable guidance to practitioners seeking to match their website’s information mix to customers’ demands for product, company, and channel information. We also enable future investigations of hypothesized relationships between website information content and user-website interaction outcomes

    Conceptualising how SMEs incorporate green content in their websites

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    This paper presents a framework on how Small and Medium Enterprises (SMEs) can proactively incorporate content relating to their ecological responsibility (or green) activities in their websites. SME studies offer limited guidance on, and conceptualisation of, how organisations can incorporate different types of content into their website designs. This paper addresses this problem by presenting the results of an exploratory, qualitative content analysis of Australian SME websites where emergent themes are interpreted using framing and legitimacy theories. It describes three dimensions (location, presentation, and specificity) which comprise the framework, under which the themes are grouped. The paper outlines how scholars can use the framework to develop models and carry out evaluations regarding how SMEs embed green content, and potentially other specific content types, in their websites. It also summarises how the framework can assist SMEs (or website developers serving them) make informed decisions regarding framing their websites as green, or de-emphasising this content, by paying attention to its location (e.g. homepage, navigation bars) and presentation (e.g. how paragraphs, images, etc are used) within webpages. The legitimacy or credibility of the green content can be enhanced using different types of specificity (e.g. statistics, detail of processes and actions, and third-party substantiation)

    Service Quality Measurement: Past and Future

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    Organizations seek to measure their quality of services as a basis for improvements. Many servicequality measures from marketing, supply chain, and information systems have been formulated and testedover the last 50 years, developing generic customer satisfaction measures. This research reviews theresearch from the three disciplines, developing directions for future research on service quality. Suggestedfuture research directions include a more context-specific, medium-sensitized approach to services, that isable to measure not only human services but also co-produced and machine-produced services

    Retail managers’ preparedness to capture customers’ emotions: a new synergistic framework to exploit unstructured data with new analytics

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    Although emotions have been investigated within strategic management literature from an internal perspective, managers’ ability and willingness to understand consumers’ emotions, with emphasis on the retail sector, is still a scarcely explored theme in management research. The aim of this paper is to explore the match between the supply of new analytical tools and retail managers’ attitudes towards new tools to capture customers’ emotions. To this end, Study 1 uses machine learning algorithms to develop a new system to analytically detect emotional responses from customers’ static images (considering the exemplar emotions of happiness and sadness), whilst Study 2 consults management decision-makers to explore the practical utility of such emotion recognition systems, finding a likely demand for a number of applications, albeit tempered by concern for ethical issues. While contributing to the retail management literature with regard to customers’ emotions and big data analytics, the findings also provide a new framework to support retail managers in using new analytics to survive and thrive in difficult times

    Semantic discovery and reuse of business process patterns

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    Patterns currently play an important role in modern information systems (IS) development and their use has mainly been restricted to the design and implementation phases of the development lifecycle. Given the increasing significance of business modelling in IS development, patterns have the potential of providing a viable solution for promoting reusability of recurrent generalized models in the very early stages of development. As a statement of research-in-progress this paper focuses on business process patterns and proposes an initial methodological framework for the discovery and reuse of business process patterns within the IS development lifecycle. The framework borrows ideas from the domain engineering literature and proposes the use of semantics to drive both the discovery of patterns as well as their reuse

    Impulse buying online: a visual, comparative enquiry into two mediums of grocery retailing

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    The purpose of our thesis has been to see how impulse buying could manifest itself online by comparing the offline and online mediums through visual enquiry, and build on the already extensive literature on offline impulse buying. The object oriented visual enquiry was used offline and online to observe grocery stores and their current and potential impulse buying stimuli. We gained an initial understanding of the differences between the offline and online mediums according to how they can manifest impulse buying stimuli. We do not believe that the offline impulse buying methods can be directly transferred to an online setting, due to differences in format. However, an online grocery shopping site can emphasize features connected to hedonism, interactivity and personalization to successfully induce impulse buying in the online mediu

    Bridging the Gap Between Intent and Outcome: Knowledge, Tools & Principles for Security-Minded Decision-Making

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    Well-intentioned decisions---even ones intended to improve aggregate security--- may inadvertently jeopardize security objectives. Adopting a stringent password composition policy ostensibly yields high-entropy passwords; however, such policies often drive users to reuse or write down passwords. Replacing URLs in emails with safe URLs that navigate through a gatekeeper service that vets them before granting user access may reduce user exposure to malware; however, it may backfire by reducing the user\u27s ability to parse the URL or by giving the user a false sense of security if user expectations misalign with the security checks delivered by the vetting process. A short timeout threshold may ensure the user is promptly logged out when the system detects they are away; however, if an infuriated user copes by inserting a USB stick in their computer to emulate mouse movements, then not only will the detection mechanism fail but the insertion of the USB stick may present a new attack surface. These examples highlight the disconnect between decision-maker intentions and decision outcomes. Our focus is on bridging this gap. This thesis explores six projects bound together by the core objective of empowering people to make decisions that achieve their security and privacy objectives. First, we use grounded theory to examine Amazon reviews of password logbooks and to obtain valuable insights into users\u27 password management beliefs, motivations, and behaviors. Second, we present a discrete-event simulation we built to assess the efficacy of password policies. Third, we explore the idea of supplementing language-theoretic security with human-computability boundaries. Fourth, we conduct an eye-tracking study to understand users\u27 visual processes while parsing and classifying URLs. Fifth, we discuss preliminary findings from a study conducted on Amazon Mechanical Turk to examine why users fall for unsafe URLs. And sixth, we develop a logic-based representation of mismorphisms, which allows us to express the root causes of security problems. Each project demonstrates a key technique that can help in bridging the gap between intent and outcome

    A Review of Consumer-Facing Digital Technologies Across Different Types of Fashion Store Formats

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    Several current trends in the fashion retail and marketing landscape are associated with the ongoing digital revolution, including the increasing tendency for fashion retailers to adopt consumer-facing digital technologies across their online and physical store formats. Such technology helps improve the store environment by conferring a more engaging and stimulating shopping experience for consumers. This chapter provides a review of existing literature, supported by relevant industry reports and current examples from key players in the fashion retail sector, to provide a comprehensive analysis of different types of consumer-facing digital technology in various fashion store formats and how they impact on the overall shopping experience. The authors review a number of technologies including interactive touchscreens, RFID tags, beacon technology, magic mirrors and mobile apps, and consider how they are implemented in online stores, digitally enhanced stores, brand stores and pop-up stores in the fashion sector

    An Experimental Study on Ubiquitous commerce Adoption: Impact of Personalization and Privacy Concerns

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    Ubiquitous commerce (u-commerce) represents anytime, anywhere commerce. U-commerce can provide a high level of personalization, which can bring significant benefits to customers. However, privacy is a major concern to customers and an obstacle to the adoption of u-commerce. This research examines how personalization and context can impact customers\u27 privacy concerns as well as intention to adopt u-commerce applications. As u-commerce is new and emerging, we used the scenario-based approach to operationalize personalization and context in an experimental study. The experimental results show that the effects of personalization on customers\u27 privacy concerns and adoption intention are situation dependent
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