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Empowered by Web 2.0 and social media, consumers join online communities and produce social capital. They generate information for online communities by sharing their knowledge, information and experience, and thus support organisational learning. Co‐creation of value with consumers instead of co‐creation of value for consumers is a new strategy for organisational development. The purpose of this paper is to investigate social factors introduced through social media to sport organisations in the co‐creation of value with fans.

This research adopts social capital and social support theory and investigates the way sport organisations can apply social relationship with fans in online communities in order to co‐create value for organisational development. The study looks at the current literature and the potential theoretical development for organisational learning.

Social interaction of individuals through social media and online communities has introduced co‐creation of value with customers. This behaviour originates from the supportive climate that has emerged through Web 2.0, where individuals share their information, knowledge, and experience through online communities. This co‐creation offers online social support as a source of social capital for organisations. The results can be beneficial for the development of sport organisations in the co‐creation of value with fans.

The clear implication of the research would be whether sport organisations can develop virtual communities and offer rich means that facilitate individuals' interactions. The research highlights the theoretical foundation and opportunities for sport organisational development. However, the study does not provide an empirical test of the theory. Therefore, an empirical test of the research theory is a future research direction.

This research investigates social factors introduced through social media to sport organisations in the co‐creation of value with fans. The contribution of the research is to provide the theoretical bases for a new research area for sport organisational development through social media. Sport organisations can learn from the social interactions of their fans and develop their strategies. This research shows how sport organisations can use social capital theory and online social support to progress in the industry.

Social relationships on the internet through the emergence of Web 2.0 applications created new opportunities for business. This is mainly because of the growth of social networking sites, which has also developed e‐commerce. The current development in e‐commerce opened a new stream, entitled social commerce, which is using social technologies to create an environment for generating social interactions. These social interactions can drive online social support in e‐commerce, which in turn is creating trust and an increased intention to use social commerce.

This research used social support theory and related theories on intention to use to propose a theoretical framework for the adoption of social commerce.

The model predicts that forums and communities, ratings, reviews, referrals and recommendations are helping to introduce new business plans for e‐vendors. The model also shows trust is an on‐going issue in e‐commerce and can be built through social commerce constructs.

There is limited research in the area of social commerce which this study seeks to redress. This study proposes a new model which can be extended by other constructs. However, the research needs to empirically test the constructs of the proposed model and their relationship.

This paper introduces social commerce constructs, namely; recommendations and referrals, forums and communities and rating and reviews. The bases of the model proposed in this research are IT adoption and literature in the area such as PU and intention to buy or trust. These highlight the key role of ICT in the behaviour of online customers. This can be a development for e‐commerce adoption models and the results signify that IS has a reference discipline for the behaviour of online consumers. This is an issue in marketing where not enough attention is paid to the importance of IT and IS.

The emergence of Web 2.0 opened a new route for education to use the values derived from this development. The future of e-learning is social learning, where individuals can learn online due to the facility of social media. Social media such as online communities are places for social interactions between users. These social interactions are the way forward and can drive social support in an online context. This paper aims to explore the impact of these interactions

This study uses social support theory to explore the impact of social interactions on the internet on learning and education. The research uses a case study and investigates the health industry.

The paper explains the development in e-learning through social media and the emerging concept of social learning.

The contribution of this research is to emphasise social relationships of individuals in the internet and social interaction in online communities which enhance their learning qualities. The research drawn on social support theory describes social learning as a future for e-learning.

Since the 1970s productivity growth in most economies slowed, while information and communication technology expenditures increased: the “information technology (IT) productivity paradox.” Some researchers reported an end to the paradox, but this is most likely due to IT industry growth approaching the Year 2000 phenomenon. The purpose of this paper is to update IT productivity paradox research.

For comparability this research replicates methods employed by previous studies but employs a two-level approach: first macroeconomic indicators; second labor and multi-factor productivity.

Findings suggest IT investment has high positive correlation with gross domestic product growth, but not labor or multi-factor productivity. This ambiguity suggests the paradox is still poorly understood.

The findings are not conclusive; the authors cannot confirm or reject the existence of the productivity paradox. The global recession and banking crisis makes it prudent to wait until recovery before analyzing data from that period.

Lack of convincing evidence supporting positive effects from IT investment suggests some firms benefit from IT investment, but not others, and that IT investment has questionable returns.

Firm level studies might find IT investment benefits some firms, but lack of convincing macroeconomic level evidence of positive effects of IT investment suggests the paradox still exists.

This research updates the IT productivity paradox demonstrating the phenomenon is still poorly understood and thus worthy of further study, questioning the benefits of IT investment for industry and national economies.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

When a doctor says more people die as a result of worrying about illnesses they might or might not have, rather than illness itself, the medic's opinion might lack the backing of hard facts and figures. But it is one worth noting, especially when the internet has become such a hypochondriacs' playground where they can discover a multitude of symptoms and immediately start to be frightened by them.

The paper provides strategic insights and practical thinking that have influenced some of the world's leading organizations.

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to digest format.

The purpose of this systematic literature review was to collect and review the studies published worldwide in English language presenting the persuasive role of information/content credibility (IC) on the information adoption behavior (IAB) of social media users.

The relevant literature was searched by the reviewers from two specialized databases, i.e. Library, Information Science and Technological Abstract (LISTA) and Library and Information Science Abstracts (LISA), whereas five general databases, i.e. Emerald, Springer Link, Taylor and Francis Online, ProQuest Dissertations and Theses Global and Google Scholar, using the Internet (portal) services available at the two Pakistani universities, i.e. University of Sargodha and the University of the Punjab. The search was updated in February 2022.

The results of this study revealed that there was a significant impact of IC over the IAB of social media users.

This study is the first of its nature that aims to collect and present a systematic review of the literature based on empirical evidence of the influential role of IC on the IAB of social media users.

The effect of the transition toward digital technologies on today’s businesses (i.e. Industry 4.0 transition) is becoming increasingly relevant, and the number of studies that have examined this phenomenon has grown rapidly. However, systematizing the existing findings is still a challenge, from both a theoretical and a managerial point of view. In such a setting, the knowledge management (KM) discipline can provide guidance to address such a gap. Indeed, the implementation of fundamental digital technologies is reshaping how firms manage knowledge. Thus, this study aims to critically review the existing literature on Industry 4.0 from a KM perspective.

First, the authors defined a structuring framework to highlight the role of Industry 4.0 transition along with absorptive capacity (ACAP) processes (acquisition, assimilation, transformation and exploitation), while specifying what is being managed, that is data, information and/or (actual) knowledge, according to the data-information-knowledge (DIK) hierarchy. The authors then followed the systematic literature review methodology, which involves the use of explicit criteria to select publications to review and outline the stages a process has to follow to provide a transparent and replicable review and to analyze the existing literature according to the theoretical framework. This procedure yielded a final list of 150 papers.

By providing a clear picture of what scholars have studied so far on Industry 4.0 transition, in terms of KM, this literature review highlights that among all the studied digital technologies, the big data analytics technology is the one that has been explored the most in each phase of the ACAP process. A constructive body of research has also emerged in recent years around the role played by the internet of things, especially to explain the acquisition of data. On the other hand, some digital technologies, such as cyber security and smart manufacturing, have largely remained unaddressed. An explanation of the role of these technologies has been provided, from a KM perspective, together with the business implications.

This study is one of the first attempts to revise the literature on Industry 4.0 transition from a KM perspective, and it proposes a novel framework to read existing studies and on which to base new ones. Furthermore, the synthesis makes two main contributions. First, it provides a clear picture of the different digital technologies that support the four ACAP phases in relation to the DIK hierarchy. Accordingly, these results can emphasize what the literature has looked at so far, as well as which digital technologies have gained the most attention and their impacts in terms of KM. Second, the synthesis provides prescriptive considerations on the development of future research avenues, according to the proposed research framework.

This paper aims to propose a knowledge management (KM) framework for leveraging big social media data to help interested organizations integrate Big Data technology, social media and KM systems to store, share and leverage their social media data. Specifically, this research focuses on extracting valuable knowledge on social media by contextually comparing social media knowledge among competitors.

A case study was conducted to analyze nearly one million Twitter messages associated with five large companies in the retail industry (Costco, Walmart, Kmart, Kohl’s and The Home Depot) to extract and generate new knowledge and to derive business decisions from big social media data.

This case study confirms that this proposed framework is sensible and useful in terms of integrating Big Data technology, social media and KM in a cohesive way to design a KM system and its process. Extracted knowledge is presented visually in a variety of ways to discover business intelligence.

Practical guidance for integrating Big Data, social media and KM is scarce. This proposed framework is a pioneering effort in using Big Data technologies to extract valuable knowledge on social media and discover business intelligence by contextually comparing social media knowledge among competitors.