Knowledge Sharing in Personal Networking Instead of Professional-instrumental Context: An Integrated Perspective of Psychological Defense

The approach and structure of online networking have different implications for the knowledge sharing behavior of workers across teams within an organization. Despite studies on the topic, it is still not clear how the characteristic of social ties influences knowledge sharing behavior via online platforms, which have increasingly highlighted two opposing attributes: instrumental/task-related networks and expressive/personal networks. This study investigates the role of psychological defense in shaping the knowledge sharing behavior of employees in personal networking tools. Empirical analysis based on data collected from 455 knowledge workers demonstrated that psychological defense has a fundamental impact on knowledge sharing in personal networking context. Specifically, our results show that psychological safety, need to belong, self-integrity, sense of control, work overload, and role conflict have significant impact on the sharing behavior of knowledge workers in the personal networking context. The theory and practice contributions provided by the current study were discussed

Understanding the Influencing Factors of the Effectiveness of Trusted Third Party\u27s Trust Transformation

Through the experimental data analysis, this paper found that trusted third parties (TTPs) can effectively reduce the trust barrier of consumers. Furthermore, we point out that TTPs have the function of trust transfer, which provides a meaningful framework for our understanding the mechanism of TTPs. According to this research, consumers’ trust in unfamiliar enterprises is built on their trust of TTPs. The chain relationship of TTPs’ trust and certification of enterprises and consumers’ recognition of TTPs enables the transfer of consumer trust to enterprises and finally leads to consumers’ trust in these enterprises. Also, the reputation and presentation of TTPs can have a significant influence on the trust transfer. The results further reveal the internal mechanism of TTPs and clarifies the regulatory factors that influence the trust transfer. These findings are helpful for understanding and extension of relevant theories and for enterprises’ decision making on TTPs

A Process Virtualization Theory Approach to Understanding the Usage Continuance of Cross-Channel Instant Messaging

Increasingly, we are witnessing the advent of IM software on mobile devices for users to communicate with other users who are using either the desktop or mobile channel. The emergence of such cross-channel instant messaging (CCIM) demands a renewed understanding of users’ continuance behaviours. In this research-in-progress paper, we draw upon the process virtualization theory perspective to extend the expectation-confirmation model for IT (ECM-IT). According to PVT, we propose that users’ confirmation of using the virtualized CCIM is determined by the communication process’s dimensions of sensory, synchronism, relationship, and identification & control. In addition, we propose that the extent to which the communication dyads make mutual adaptation to one another will moderate the relationship between confirmation and perceived usefulness of CCIM. We expect our findings to make theoretical contributions to the domain of research on IT usage post-adoption behaviours as well as managerial implications to CCIM application developers and other stakeholders in the mobile industry

DEVELOPMENT OF CONCEPTUAL MODEL FOR SOCIAL COMMERCE RESEARCH THROUGH INTEGRATION WITH BIG DATA ANALYSIS

Information systems designers face great opportunities and challenges in developing a holistic big data research approach for the new analytics savvy generation. In addition business intelligence is largely utilized in the business community and thus can leverage the opportunities from the abundant data and domain-specific analytics in many critical areas. The aim of this paper is to assess the relevance of these trends in the current business context through evidence-based documentation of current and emerging applications as well as their wider business implications. In this paper, we use BigML to examine how the two social information channels (i.e., friends-based opinion leaders-based social information) influence consumer purchase decisions on social commerce sites. We undertake an empirical study in which we integrate a framework and a theoretical model for big data analysis. We conduct an empirical study to demonstrate that big data analytics can be successfully combined with a theoretical model to produce more robust and effective consumer purchase decisions. The results offer important and interesting insights into IS research and practice

A Multi Perspective Approach for Understanding the Determinants of Cloud Computing Adoption among Australian SMEs

Cloud computing is proved to be an effective computing technology for organisations through the advantages that it offers such as IT technical agility and scalability, enhancing businesses processes, and increasing enterprises competitiveness. In Australia, there is an emerging trend that small and medium-sized enterprises (SMEs) begin to adopt this technology in the conventional working practices. However, there is a dearth of prior studies on examining the factors that influence the cloud computing adoption among Australian SMEs. To fill the empirical vacuum, this research-in-progress proposes an integrated framework for examining the determinants of cloud computing service adoption with the consideration of the unique characteristics of Australian SMEs, such as relatively low adoption of cloud computing services, less innovative, and limited knowledge about cloud computing and its benefits and hindrances. To this end, we are conducting consecutive studies to investigate this research issue. An exploratory interview study will be applied to observe and verify the characteristics of Australian SMEs toward the cloud computing adoption. This is followed by an organisational level survey that examines the effects of determinants on cloud computing adoption. Finally, a decision model for cloud computing adoption among Australian SMEs will be developed by using a Multi Criteria Decision Approach (MCDA) through rating, prioritising, and ranking of various criteria and alternatives available to the decision makers. Adopting the mixed-method research fashion, this research-in-progress intends to make significant implications to scholars and practitioners alike in the cloud computing research and applications areas

Travel Distance Judgment: An Environmental Distance Information Cognitive Processing Perspective

A consumer makes travel distance judgment to determine the place to visit. Stores that gain favorable travel distance judgment could gain access to a large volume of customer base. Travel distance judgment is often made with the aid of technologies, such as the mobile location-based service (LBS). In the present research-in-progress, we build on the human’s environmental distance information cognitive processing model to propose how the travel distance information and visual geospatial information jointly influence a consumer’s travel distance judgment. We posit that the combination of direct-distance travel information and destination visual reachable geospatial information (2D-map) could result in favorable travel distance judgment; likewise, the combination of estimated travel time information and destination visual opaque geospatial information (3D-map) could result in good travel distance judgment. Empirical validations on the propositions are also proposed. The article ends with a discussion on potential implications for research and practice

CLOUD COMPUTING ADOPTION DETERMINANTS: AN ANALYSIS OF AUSTRALIAN SMES

In Australia, there is an emerging tendency among SMEs towards the adoption of cloud computing. However, there are limited studies investigating the factors that influence cloud computing adoption within Australian SMEs. To fill the research vacuum, we developed a research model based on the diffusion of innovation theory (DOI), the technology-organisation-environment (TOE) framework, and our prior exploratory study to investigate the determinants that influence the adoption of cloud computing. An organizational-level survey was conducted across Australia to collect data from technology decision makers in SMEs. Data collected from 203 firms are used to test the related hypotheses. This study contributes a statistically validated model of the influential determinants of cloud computing adoption. Data analysis indicates that Technological Factors (cost savings, relative advantages, compatibility, and trialability), Organizational Factors (firm size, top management support, innovativeness of the firm, and IS knowledge), and Environmental Factors (market scope and external computing support) were found to be determinants of the adoption of cloud computing services. Benefits of the findings are twofold. First, they provide knowledge about cloud computing determinants in the Australian marketplace. Second, they provide policy planners and SMEs’ decision makers with insights and directions for successful adoption of cloud computing technology

CLOUD COMPUTING SERVICES ADOPTION IN AUSTRALIAN SMES: A FIRM-LEVEL INVESTIGATION

Cloud computing services can boost the competitiveness of Small and Medium-sized Enterprises (SMEs) and leverage countries’ economies. In the Australian context, there is an emerging trend that SMEs begin to embrace cloud technology in their traditional business activities. However, prior studies did not pay much attention to investigating the factors that influence the cloud computing adoption among Australian SMEs. To fill the research gap, this paper investigates the influential factors that affect the decision on adopting cloud computing services for Australian SMEs. Protocol data collected from fifteen firm-level semi-structured interviews with practitioners are presented and discussed. The protocol analysis indicates that various factors are important to the adoption of cloud computing services for Australian SMEs, such as security concerns, cost savings, and privacy due to geo-restrictions. Furthermore, this study confirms the insignificance of complexity and competitive pressure factors in the adoption of cloud computing among Australian SMEs. These findings have imperative implications to scholars and practitioners alike in the cloud computing research and applications areas

Cloud computing adoption decision modelling for SMEs: a conjoint analysis

Cloud computing is an emerging technology that promises competitive advantages, cost savings, enhanced business processes and services, and various other benefits to enterprises. Despite the rapid technological advancement, the adoption of cloud computing is still growing slowly among small and mediumsized enterprises (SMEs). This paper presents a model to support the decisionmaking process, using a multi-criteria decision method PAPRIKA for the socio-technical aspects influencing SMEs cloud adoption decision. Due to the multifaceted nature of the cloud computing adoption process, the evaluation of various cloud services and deployment models have become a major challenge. This paper presents a systematic approach to evaluating cloud computing services and deployment models. Subsequently, we have conducted conjoint analysis activities with five SMEs decision makers as part of the distribution process of this decision modelling based on predetermined criteria. With the help of the proposed model, cloud services and deployment models can be ranked and selected

Assessing the Determinants of Business Value Related to IT Projects: A Strategic Alignment Perspective of Public-Sector Organisations in Saudi Arabia

Strategic alignment is considered an important construct in the study of business value related to IT projects. The proposed research study aims to identify and analyse the key determinants of business value related to IT projects using a business/IT strategy alignment perspective in Saudi public-sector organisations. The study will utilise a mixed methods design that includes a sample of senior managerial staff drawn from the financial and economic sectors in Saudi Arabia. Qualitative data will be collected via semi-structured interviews (n=15-20 participants) and quantitative data will be collected via survey (n=150-200 participants). Quantitative data will be analysed using SmartPLS software and qualitative data will be analysed using the NVivo software. The key findings from the data set will be discussed in depth to provide a deeper understanding of the determinants of business value related to IT projects from a strategic alignment perspective in public-sector organisations in Saudi Arabia