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Digitally intermediated peer-to-peer exchanges have accelerated in occurrence, and as a consequence, they have introduced an increased pluralism of connotations. Accordingly, this paper aims to assess user perceptions of the interplay between the sharing, access, platform, and community-based economies.

The sharing, access, platform, and community-based economies have been systematically tracked in the social media landscape using Social Media Analytics (SMA). In doing so, a total material of 62,855 publicly posted user-generated content concerning the four respective economies were collected and analyzed.

Even though the sharing economy has been conceptually argued to be interlinked with the access, platform, and community-based economies, the empirical results of the study do not validate this interlinkage. Instead, the results regarding user perceptions in social media show that the sharing, access, platform, and community-based economies manifest as clearly separated.

This paper contributes to existing literature by offering an empirical validation, as well as an in-depth understanding, of the sharing economy's interlinkage to other economies, along with the extent to which the overlaps between these economies manifest in social media.

Using the case of Foodora, this paper aims to assess the impact of technological innovation of an emerging actor in the sharing economy through stakeholders’ perceptions in the market and non-market domains.

Using a methodological approach called social media analytics (SMA) to explore the case of Foodora, 3,250 user-generated contents in social media are systematically gathered, coded and analysed.

The findings indicate that, while Foodora appears to be a viable provider in the marketplace, there is mounting public concern about the working conditions of its employees. In the market domain, Foodora manages its status as an online delivery platform and provider well, but at the same time, it struggles with its position in the non-market sphere, suggesting that the firm is vulnerable to regulatory change. These insights highlight the importance of simultaneously exploring and balancing market and non-market perceptions when assessing the impact of disruptive innovation.

This study offers originality by providing an integrative approach to consider both the market and non-market domains. It is also novel in its use of SMA as a tool for knowledge acquisition and management to evaluate the impact of emerging technologies in the sharing economy.

This research studies the development of the evolving dynamic system model and explores the important elements or factors and what detailed attributes are the main influences model in achieving the success of a business, industry and management. It also identifies the real and major differences between static and dynamic business management models and the detailed factors that influence them. Later, this research investigates the benefits/advantages and limitations/disadvantages of some research studies. The studies conducted in this research put more emphasis on the capabilities of system dynamics (SD) in modeling and the ability to measure, analyse and capture problems in business, industry, manufacturing etc.

The research presented in this work is a qualitative research based on a literature review. Publicly available research publications and reports have been used to create a research foundation, identify the research gaps and develop new analyses from the comparative studies. As the literature review progressed, the scope of the literature search was further narrowed down to the development of SD models. Often, references to certain selected literature have been examined to find other relevant literature. To do so, a supporting tool (that connects related articles) provided by Google Scholar, Scopus, and particular journals has been used.

The dynamic business and management model is very different from the static business model in complexity, formality, flexibility, capturing, relationships, advantages, innovation model, new goals, updated information, perspective and problem-solving abilities. The initial approach of a static system was applied in the canvas business model, but further developments can be continued with a dynamic system approach.

Based on this study, which shows that businesses are developing more towards digitalisation, wanting the ability to keep up with the era that is moving so fast and the desire to increase profits, an instrument is needed that can help describe the difficulties of the needs and developments of the future world. This instrument, or tool of SD, is also expected to assist in drawing future models and in building a business with complex variables that can be predicted from the beginning.

This study will contribute to the SD study for many business incubator research studies. Many practical in business incubator management to have a benefit how to achieve the business performance management (BPM) in SD review.

The significant differences between static and dynamics to be used for business research and strategic performance management. This comparative study analyses some SD models from many authors worldwide. Their goals behind their strategic business models and encounter for their respective progress.

Drawing on social network and social capital literature, this study aims to explore how digital entrepreneurs utilize social networks to build their entrepreneurial capability, creating and developing business ventures in a digitally networked society.

The study takes a qualitative approach, interviewing 35 digital entrepreneurs with businesses operating across multiple industry sectors in Western Australia.

The findings suggest that structural social capital provides a key resource with groups of relational contacts who facilitate in building entrepreneur capability, the venture and customer markets. Relational social capital provides a foundation of trust between entrepreneurs and social network members that is strategically important for digital entrepreneurship (DE). Cognitive social capital provides mechanisms to form relationships based on shared values across social networks.

The study produces early evidence that in a multiplexed networking world, social capital accrual and use online is different from that of off-line. More empirical studies are needed to understand the complexity of the changing nature of online and off-line social networks, the consequential social capital and their interdependence in DE.

This is an exploratory qualitative study using a limited sample of 35 Australian digital entrepreneurs to explore the impact of social network interaction on digital entrepreneurs and their ventures, with the purpose of stimulating a social network approach when studying DE. This study confirms the critical importance of entrepreneurial social networks in the digital age and provides empirical evidence that online networks foster business development, while off-line networks feed self-development.

The study contributes to current research on DE as a dedicated new research stream of entrepreneurship. Specifically, the study contributes to a greater understanding of how digital entrepreneurs leverage social networks in today's digitally connected society.

This article explores the various stakeholders' perceptions of the ways digital work is organised within the sharing economy and the social implications of the transformation of work.

Applying social media analytics (SMA) concerning the sharing economy platform Foodora, a total of 3,251 user-generated content was collected and organised throughout the social media landscape in Sweden over 12 months, and 18 stakeholder groups were identified, discussing digital work within seven thematic categories.

The results show that the stakeholder groups in the Swedish context primarily expressed negative views of Foodora's way of organising digital work. The social media posts outlined the distributive and procedural justice related to the working conditions, boycott and protests and critical incidents, as well as the collective bargaining of Foodora.

By utilising a novel SMA method, this study contributes to the extant literature on the sharing economy by providing a systematic assessment concerning the impact of the sharing economy platform on the transformation of work and the associated social consequences.

The aim of this paper is to understand the competitive and collaborative relations existing between people practising in the same professional occupation, but working within different organisation contexts of employment.

An interview study of 42 in‐house and external lawyers is reported and set within contexts of the knowledge management and internationalisation of legal services. The data are analysed from an appropriation‐learning perspective and then discussed for the extent that these two groups make similar claims to property in work.

The in‐house lawyers give highest priority to the protection of resources and knowledge and aim to achieve it through trust in work relationships and by sharing, diffusing and controlling knowledge. By contrast, issues concerning individual reward and empowerment were seen as lower priority. External lawyers attach similar importance to knowledge sharing, its diffusion and control, but have slightly less concern for protecting knowledge and resources. They place less emphasis on trust and seem to value empowerment through legal innovation more so than do the in‐house lawyers.

Future research should be conducted on occupational and sub‐groups of knowledge workers to understand more systematically the dynamics of knowledge management, and the opportunities and constraints it creates for employees' property in work.

The research contributes to the literature on employees' property claims in work. It reflects on the extent that individuals' work identities must systematically adapt to different organisation contexts and approaches to knowledge management.

The authors explore employees’ emotions during a structural change (merging departments) in the higher education sector. The purposes of this paper are to identify how employees’ perceptions shape their emotional responses toward organizational change; and the variation of collective employee emotions pre-merger and post-merger.

This interpretative study uses phenomenography to better understand the phenomena of change.

Employees perceived their experiences as being promising (an opportunity to look forward to), threatening (a threat to be carefully managed) or inevitable (unavoidable). Emotional responses are collective, with male/older/more senior respondents experiencing different emotions as compared to others.

This study is exploratory and is limited by small sample size, location and temporal specificity.

Managers should recognize that employees’ experiences of change are perceived quite differently and therefore should not simply be lumped together as one homogenous group. This knowledge can be used to facilitate the change process by better managing employees’ emotions to achieve positive outcomes.

Investigating emotions through an interpretive lens highlights new areas for improvement in the change management process. The authors are able to better understand why people are feeling positively or negatively toward organizational change and how and why their emotions shift over time.

The purpose of this paper is to elucidate information on what creates the different types of knowledge.

In the conceptual model it is argued that the concept of social capital provides an interesting view on the creation of market‐specific and firm‐specific knowledge.

The major finding from the paper is that knowledge is an important by‐product of an alliance forming process, a process commonly termed as alliance learning.

Both market‐specific and firm‐specific knowledge have implications on two main types of alliance learning, that of mutual and non‐mutual learning.

Alliance managers need to be aware that knowledge is a key driver as well as a beneficial outcome in the formation of alliances.

This paper examines how the different types of knowledge evolve and how these different types of knowledge impact upon alliance learning.