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AbstractOne of the main aspects of the Web 2.0 revolution has been social commerce that has resulted in many people across the world increasingly engaging with commercial activities over social media platforms. However, the academic and research interest in social commerce is still low, and more studies are required to accelerate awareness of the most important issues relating to social commerce, in particular, social trust and value cocreation. Thus, the present study aims to propose a conceptual model that is intended to enable greater understanding of the causal interactions between social commerce constructs, social trust, and customer value cocreation. We collected data using a sample of 300 followers and fans of online Facebook communities, and we analysed them by using a structural equation model. The results show that social commerce constructs positively impact on social trust. Furthermore, we found that social trust positively impacts on the three dimensions of customer value cocreation. We found that social trust mediates the relationship between the social commerce and customer value cocreation dimensions. The paper presents a considerable theoretical contribution for being the first study that links social commerce constructs with social trust. The linkage between social commerce constructs, social trust, and customer value cocreation dimensions will also be beneficial for social media marketing strategists and managers.

As far back as the industrial revolution, significant development in technical innovation has succeeded in transforming numerous manual tasks and processes that had been in existence for decades where humans had reached the limits of physical capacity. Artificial Intelligence (AI) offers this same transformative potential for the augmentation and potential replacement of human tasks and activities within a wide range of industrial,intellectual and social applications. The pace of change for this new AI technological age is staggering, with new breakthroughs in algorithmic machine learning and autonomous decision-making, engendering new opportunities for continued innovation. The impact of AI could be significant, with industries ranging from: finance, healthcare, manufacturing, retail, supply chain, logistics and utilities, all potentially disrupted by the onset of AI technologies. The study brings together the collective insight from a number of leading expert contributors to highlight the significant opportunities, realistic assessment of impact, challenges and potential research agenda posed by the rapid emergence of AI within a number of domains: business and management, government, public sector, and science and technology. This research offers significant and timely insight to AI technology and its impact on the future of industry and society in general, whilst recognising the societal and industrial influence on pace and direction of AI development. ; If this is to be REF-eligible it needs a full text file attached, this cannot be the final published pdf but could be the version after review but before publisher formatting applied. RVO 3/10/19 Now more than 3 months post-publication and no file supplied so passing metadata only

As far back as the industrial revolution, great leaps in technical innovation succeeded in transforming numerous manual tasks and processes that had been in existence for decades where humans had reached the limits of physical capacity. Artificial Intelligence (AI) offers this same transformative potential for the augmentation and potential replacement of human tasks and activities within a wide range of industrial, intellectual and social applications. The pace of change for this new AI technological age is staggering, with new breakthroughs in algorithmic machine learning and autonomous decision making engendering new opportunities for continued innovation. The impact of AI is significant, with industries ranging from: finance, retail, healthcare, manufacturing, supply chain and logistics all set to be disrupted by the onset of AI technologies. The study brings together the collective insight from a number of leading expert contributors to highlight the significant opportunities, challenges and potential research agenda posed by the rapid emergence of AI within a number of domains: technological, business and management, science and technology, government and public sector. The research offers significant and timely insight to AI technology and its impact on the future of industry and society in general.

The UN COP26 2021 conference on climate change offers the chance for world leaders to take action and make urgent and meaningful commitments to reducing emissions and limit global temperatures to 1.5 °C above pre-industrial levels by 2050. Whilst the political aspects and subsequent ramifications of these fundamental and critical decisions cannot be underestimated, there exists a technical perspective where digital and IS technology has a role to play in the monitoring of potential solutions, but also an integral element of climate change solutions. We explore these aspects in this editorial article, offering a comprehensive opinion based insight to a multitude of diverse viewpoints that look at the many challenges through a technology lens. It is widely recognized that technology in all its forms, is an important and integral element of the solution, but industry and wider society also view technology as being part of the problem. Increasingly, researchers are referencing the importance of responsible digitalization to eliminate the significant levels of e-waste. The reality is that technology is an integral component of the global efforts to get to net zero, however, its adoption requires pragmatic tradeoffs as we transition from current behaviors to a more climate friendly society. ; publishedVersion ; Peer reviewed