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The use of serious games to improve collaborative skill transfer and retention has received considerable attention from scholars, web marketing practitioners and business consultants. Team rankings and learning progress in game learning analytics, however, have yet to be empirically examined. Using fuzzy-set qualitative comparative analysis to study the performance of competing teams in a web marketing serious game (Simbound), we highlight a combination of causal conditions (engagement, reach and profitability) affecting team rankings. This paper proposes a conceptual architecture of the forces that influence learning progress within a collaborative learning environment. This learning environment is studied for web marketing boot camps powered by Simbound at three European universities: Grenoble Alpes University (France), University of Milano-Bicocca (Italy) and Dunarea de Jos University of Galati (Romania). Gaining knowledge of cases through game learning analytics is valuable for two reasons: It emphasises the instructor’s role in mobilising players’ engagement, and it tests variability across cases, offering precursors of team performance rankings. This approach to collective skill retention highlights the moderating factors of team performance rankings, whilst purposely calibrating a gameable learning environment. This paper enriches our knowledge of how active experimentation in learning analytics metrics can develop skills for real business competition. [ABSTRACT FROM AUTHOR]

Internet technology has flourished in India keeping pace with other developing countries. In keeping pace with this advancement, the Internet of Things (IoT) technology is also spreading in India. Government of India (GOI) has realised IoT's business prospect and published draft policy on IoT in 2015. To achieve a better result, the prospective users are required to be kept aware regarding the prospect of IoT and for this, social media is expected to play a pivotal role. Social media can highlight advantages of IoT and in turn, these advantages would be made known to other potential users through Word of Month (WOM). This would bring in projection of a new business paradigm as contemplated by GOI. The purpose of this paper is to identify the factors affecting actual use of IoT by the potential users of India and to develop a conceptual model. The model has been verified through survey with inputs from 208 participants identified from three metropolitan cities of India. The responses have been quantified through 5-Point Likert scale. The result shows the implication that social media and WOM almost equally influence Indians to use IoT. [ABSTRACT FROM AUTHOR]

Cloud computing is gaining increasing interest as an enabling technology for improved productivity, efficiency and cost reduction. It also has the potential to add value to reliability and scalability of organisation’s systems, which would allow organisations to better focus on their core business and strategies. This research paper aimed at exploring the perceived potential for value creation from cloud computing in Australian Regional Governments. Using the Technology-Organization-Environment (TOE) framework, the Diffusion of Innovation (DOI) theory and Desires Framework (DF), a conceptual research model is devised. The key identified factors that are likely to influence adoption of cloud computing are identified along with the implications to current policies, anticipated benefits and challenges of adoption of cloud computing. The research employed a qualitative approach involving 21 in-depth interviews with Australian local councils’ IT managers. The findings of this research are mapped to the research model factors, thereby presenting and validating a number of value-adding concepts that are expected to contribute to investment decisions on cloud computing adoption. [ABSTRACT FROM AUTHOR]

Security and privacy policies address consumer concerns related to security and privacy in e-commerce websites. As these policies represent only the vendor’s perspective, often there exists a mismatch between the stated and desired policy. Based on transaction cost theory, we speculate that business-to-business (B2B) and business-to-consumer (B2C) e-commerce customers use their transaction cost savings in order to obtain varying levels of security and privacy. These differences are bound to be reflected in the security and privacy policies of e-commerce companies. Therefore, in this paper, we perform a comparative content analysis of the security and privacy policies in B2C and B2B e-commerce. Results show that B2B vendors are more concerned about security than their B2C counterparts, while B2C vendors are anxious about intimacy and restriction privacy. Our findings have important implications for e-commerce consumers and vendors as individual and corporate consumers have varying concerns while transacting online. Individual consumers are concerned about maintaining security and intimacy privacy, whereas corporate users are anxious about regulatory issues. Therefore, B2C vendors should incorporate stringent measures dedicated to confidentiality and protection of consumer data as well as enhance intimacy privacy in their security policies, while their B2B counterparts should focus on enhancing restriction privacy. [ABSTRACT FROM PUBLISHER]

Despite the widespread adoption of Enterprise Resource Planning (ERP) systems, many companies struggle to achieve the expected benefits from ERP. It has been especially observed that many companies fail to gain significant benefits from ERP in the post-implementation stage, regardless of their initial implementation success. This paper focuses on this post-implementation stage and empirically studies the factors that influence the performance of ERP in this stage. Through the review of related literature and a pilot study of Korean firms, the following six were identified as the influential factors: top management support, competency of an internal ERP team, user training, inter-department collaboration and communication, continuous process improvement and continuous systems integration/extension. The factors were used to build a comprehensive model that aims to explain how to successfully use ERP in the post-implementation stage. The model was tested with the data collected by questionnaires given to Korean companies using the partial least-square method. The results show that continuous improvement efforts and on-going organisational support have positive influence on the performance of ERP in the post-implementation stage. [ABSTRACT FROM AUTHOR]