scholarly journals Data Capitalism: Efficiency as a sociability degree function

2020 ◽  
Vol 11 (2) ◽  
pp. 82
Author(s):  
Dora Kaufman

The purpose of this paper is to address the relationship between sociability and efficiency in AI-drive models, in how contemporary economics has brought the notion of efficiency into our personal lives. Initially we introduced the basics of three key concepts of the article: data capitalism, data and deep learning. Next, we describe the exponential evolution of storage, processing and transmission technology showing that over the years, the ability to transform analog data into digital data has expanded exponentially. This capacity increased the efficiency of the operational processes with the measure of efficiency calculated and controlled against the maximum potential of the digital data produced in these interactions. For traditional firms, competing with digital rivals involves rearchitecting the firm’s organization and operating model. The compartmentalisation in silos compromises the efficiency of AI-drive models which demand integrated data base. The digital transformation requires huge investment in management, time and financial resources. However, it is the only way to remain competitive and survive in the 21st century market. The commitment to identify and measure user preferences and habits, and then to predict behaviour, is the logic behind technology platforms and applications, online social networks, e-commerce and search engines. Digital platforms are designed to extend the lifespan of their users, thereby generating greater engagement and more data. The originality of this paper is to correlate sociability and economic efficiency in the present business environment with a technological and social approach.

2022 ◽  
Vol 40 (2) ◽  
pp. 1-23
Author(s):  
Zhiqiang Tian ◽  
Yezheng Liu ◽  
Jianshan Sun ◽  
Yuanchun Jiang ◽  
Mingyue Zhu

Personalized recommendation has become more and more important for users to quickly find relevant items. The key issue of the recommender system is how to model user preferences. Previous work mostly employed user historical data to learn users’ preferences, but faced with the data sparsity problem. The prevalence of online social networks promotes increasing online discussion groups, and users in the same group often have similar interests and preferences. Therefore, it is necessary to integrate group information for personalized recommendation. The existing work on group-information-enhanced recommender systems mainly relies on the item information related to the group, which is not expressive enough to capture the complicated preference dependency relationships between group users and the target user. In this article, we solve the problem with the graph neural networks. Specifically, the relationship between users and items, the item preferences of groups, and the groups that users participate in are constructed as bipartite graphs, respectively, and the user preferences for items are learned end to end through the graph neural network. The experimental results on the Last.fm and Douban Movie datasets show that considering group preferences can improve the recommendation performance and demonstrate the superiority on sparse users compared


2016 ◽  
Vol 5 (1) ◽  
Author(s):  
Beena Prakash

With the present business environment which is creating a strong demand pull for quality and efficient logistics services, core issues are being gradually removed with time but HR issues are still neglected. Motivation can be the key process of boosting the morale of employees to encourage them to willingly give their best in accomplishing assigned tasks. During growth of any sector, dimensions of leadership can have great impact on employee motivation. This research paper analyzes impact of transformational leadership on employee motivation and moderating role of gender. The result shows significant positive correlation between transformational leadership and employee motivation and gender does moderate the relationship.


2004 ◽  
Vol 6 (2) ◽  
pp. 171 ◽  
Author(s):  
Nurul Indarti

This research aims to examine the relationship between business location decision and business success. The case is Internet café business in Indonesia. This research is addressed to answer these main questions: (1) what factors do underlie location decision for an Internet café business?; and (2) does location decision determine success of Internet café business? A field research is conducted to answer these questions.Factor analysis applied to 17 location factors reveals five underlying dimensions of business location decision. They are centrality, business environment, business venue, cost, and labor. Based on responses from 93 Internet cafés in three locations (i.e. Yogyakarta, Surabaya, and Lombok), the author finds that favorable location of business is positively related to business success. More specifically, a regression analysis reveals that availability of utilities, proximity to schools/universities and security affect business success in a positive direction, while proximity to highways, being in commercial center affect in a negative direction. The independent variables explain 23 percent of total variance.


2019 ◽  
Vol 22 (3) ◽  
pp. 365-380 ◽  
Author(s):  
Matthias Olthaar ◽  
Wilfred Dolfsma ◽  
Clemens Lutz ◽  
Florian Noseleit

In a competitive business environment at the Bottom of the Pyramid smallholders supplying global value chains may be thought to be at the whims of downstream large-scale players and local market forces, leaving no room for strategic entrepreneurial behavior. In such a context we test the relationship between the use of strategic resources and firm performance. We adopt the Resource Based Theory and show that seemingly homogenous smallholders deploy resources differently and, consequently, some do outperform others. We argue that the ‘resource-based theory’ results in a more fine-grained understanding of smallholder performance than approaches generally applied in agricultural economics. We develop a mixed-method approach that allows one to pinpoint relevant, industry-specific resources, and allows for empirical identification of the relative contribution of each resource to competitive advantage. The results show that proper use of quality labor, storage facilities, time of selling, and availability of animals are key capabilities.


2021 ◽  
Vol 13 (7) ◽  
pp. 3986
Author(s):  
Jun-Chul Ha ◽  
Jun-Woo Lee ◽  
Jee Young Seong

In a rapidly changing business environment, the entrepreneurship of top management is essential for the survival and sustainable development of the enterprise. Building on the view of the strategic choice theory, this study identifies the relationship between entrepreneurship, market-oriented culture, and work engagement. Data were collected from 493 employees regularly working in small and medium-sized firms in South Korea. The results of this study indicate: (1) entrepreneurship (consisting of innovation, proactiveness, and risk-taking) has a significant positive influence on market-oriented culture, (2) entrepreneurship positively affects work engagement, (3) market-oriented culture has a significant positive effect on work engagement, (4) the effects of innovation and proactiveness on work engagement are significant, controlling for market-oriented culture, showing the partial mediating effect of market-oriented culture on work engagement, and (5) CEO trust moderates the relationship between risk-taking and work engagement. Theoretical and practical implications are suggested.


2021 ◽  
Vol 13 (11) ◽  
pp. 6494
Author(s):  
Grzegorz Baran ◽  
Aleksandra Berkowicz

The main idea of the paper is to combine modern research methods (as living labs that enable research in a real-life setting) with the new technological opportunities for entrepreneurship and innovation development (as digital platforms) to search for innovative solutions, while addressing the sustainable development problems. Thus, the paper aims to explain how real value for society is created within digital platform ecosystems and how they employ to this end novel solutions that better address existing social problems. Consequently, it proposes a conceptual framework to research and develop sustainable entrepreneurship and innovation with the use of digital platforms. This research study takes a synthesizing conceptual approach that seeks to integrate the existing knowledge drawn on two major streams of research: living labs as a methodology and digital platform ecosystems to enrich the theory of sustainable entrepreneurship and innovation development. The paper contributes to the body of knowledge by proposing a novel conceptual model of digital platform ecosystems as living labs for sustainable entrepreneurship and innovation. The model depicts digital platform ecosystems examined as living labs and the implicit processes that include platform users in problem-solving and value-creation in real-life settings. The novelty of the model stems from framing these processes that capture the relationship between individuals and opportunities as the foundations of entrepreneurship and the relationship between the problem space and the solution space, where the opportunities occur.


2021 ◽  
pp. 017084062110306
Author(s):  
Marc Steinberg

This article explores the automotive lineage and manufacturing origins of platforms. Challenging prevailing assumptions that the platform is a digital artefact, and platform capitalism a new era, this article traces crucial elements of platform capitalism to Toyotist automobile manufacture in order to rethink the relationship between technology and organization. Arguing that the very terminology and industry applications of the ‘platform’ emerge from the automobile industry over the course of the 20th century, this article cautions against the uncritical adoption of epochal paradigms, or assumptions that new technologies require new organizational forms. By parsing the platform into two types, the stack and the intermediary, this article demonstrates how the platform concept and data-driven production practice both develop out of the Toyota Production System in particular, and American and Japanese analyses of it. Toyotism, we show, is the unseen industrial and epistemological background against which the platform economy plays out. In making this case, this article highlights the crucial continuities between the data intensive production of companies like Uber and Amazon – emblematic of digital platform capitalism – and the organizational paradigms of the automobile industry. At a moment when the automobile returns to prominence amidst platforms such as Uber, Didi Chuxing, or Waymo, and as we find tech companies turning to automobile manufacturing, this automotive lineage of the platform offers a crucial reminder of the automotive origins of what we now call platform capitalism.


2021 ◽  
Vol 73 (2) ◽  
pp. 243-274
Author(s):  
Alexandra A. Siegel ◽  
Jonathan Nagler ◽  
Richard Bonneau ◽  
Joshua A. Tucker

abstractDo online social networks affect political tolerance in the highly polarized climate of postcoup Egypt? Taking advantage of the real-time networked structure of Twitter data, the authors find that not only is greater network diversity associated with lower levels of intolerance, but also that longer exposure to a diverse network is linked to less expression of intolerance over time. The authors find that this relationship persists in both elite and non-elite diverse networks. Exploring the mechanisms by which network diversity might affect tolerance, the authors offer suggestive evidence that social norms in online networks may shape individuals’ propensity to publicly express intolerant attitudes. The findings contribute to the political tolerance literature and enrich the ongoing debate over the relationship between online echo chambers and political attitudes and behavior by providing new insights from a repressive authoritarian context.


2021 ◽  
Vol 19 (5) ◽  
pp. 681-700
Author(s):  
Mohammad Almaleki ◽  
Mahdi Salehi ◽  
Mahdi Moradi

Purpose This study aims to investigate the impact of managerial narcissism and overconfidence on financial statements’ comparability. In other words, this paper seeks to answer the question of whether the personality characteristics of managers may affect the level of financial statements’ quality of commercial entities or not. Design/methodology/approach The research hypotheses are tested using a sample of 896 observations taken from the Tehran Stock Exchange and 245 observations from the Iraqi Stock Exchange during 2012 and 2018 using the multiple regression model based on the combined data technique. Findings The findings show that managerial narcissism is positively and significantly associated with Iran’s financial statement comparability. In contrast, Iraqi data articulate a negative association between these two variables. This paper finds that Chief Executive Officer overconfidence and financial statements’ comparability are negatively related in both countries. Following the market variation, the different findings suggest that institutional settings such as the general managerial style, adopting international accounting standards (now IFRS) leading to the extent of auditing market globally in Iraq and suffering from international sanctions in Iran, the governing business environment may play an allocative role in preparing financial statements. Originality/value The present research is the first research conducted in two emerging markets (Iran and Iraq) examining the relationship between managers’ narcissism and overconfidence and financial statements’ comparability. Therefore, the present research in this area can significantly contribute to the development of science and knowledge.


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