Data Marketplaces: Value Drivers and Pricing Approaches of Data

Although the data monetization market continues to grow with a Compound Annual Growth Rate of 19.5% between 2022 and 2027 (MarketsAndMarkets, 2022), many data marketplaces have failed and withdrawn from the market (Carnelley et al., 2016; Spiekermann, 2019). Particularly the pricing of data remains a key challenge for practitioners (Muschalle et al., 2013; Balazinska et al., 2011). Fricker and Maksimov (2017) come to the conclusion that “research on pricing for data products is still in its infancy” and cannot provide satisfactory recommendations for practioners. The objective of this paper is to contribute in closing this gap based on semi-structured expert interviews which address two research questions: (1) Which price setting mechanisms are chosen in practice? (2) Which value drivers contribute to the value of a dataset? Our results show that data marketplaces dominantly choose cost-based pricing approaches or hand over pricing responsibilities to data providers and buyers. At the same time, they prioritize value drivers outside the cost category. One explanation is that data marketplace are striving for a value-based pricing approach, but currently fail to implement it. We suggest a pragmatic pricing approach that calculates the base price based on the costs and considers performance on value drivers for margin calculation

The Role of Gender in Business Process Management Competence Supply

While Business Process Management (BPM) was originally focused on Information Technology as a key factor driving the efficiency and effectiveness of organizational processes, there is now a growing consensus among practitioners and academics that BPM represents a holistic management approach that also takes such factors as corporate governance, human capital, and organizational culture into account. Studies show that the BPM practice faces a shortage of competence supply that stems from a shortage of qualified BPM professionals. At the same time, there is a distinct underrepresentation of women in technology-related fields; it has been suggested that gender stereotypes are one of the reasons for this underrepresentation. The goal of this research paper is, thus, to better understand the role of gender in the BPM competences supply. In this study 10,405 LinkedIn profiles of BPM professionals were analyzed using a text mining technique called Latent Semantic Analysis. Twelve distinct categories of supplied BPM competences were identified and it was investigated how far gender biases exist among BPM professionals. The nature of BPM-related competences is discussed, together with the differences in their presentation by male and female professionals, which indicate potential existence of gender stereotypes. Further, it is discussed how the apparent underrepresentation of women among BPM professionals can be addressed to close the competence gap in the field. The study contributes to both the call for research on human capital in the BPM field, and the calls for research on gender and gender stereotypes in technology-related fields

PENGARUH STRUKTUR MODAL (DEBT EQUITY RATIO) TERHADAP PROFITABILITAS (RETURN ON EQUITY) (STUDI KOMPARATIF PADA PERUSAHAAN INDUSTRI TEKSTIL DAN GARMENT YANG TERDAFTAR DI BEI PERIODE 2006-2010)

This research is performed in order to test the influence of variabel Debt to \ud Equity Ratio (DER) toward Retrun on Equity (ROE). Methodology research as the \ud sample used proposive sampling with criteria as (1) Manufacturing companies that \ud listed at IDX who provide financialreport year ending 31\ud st\ud December during the \ud observation period 2006 ??? 2010. well available at ICMD and annual report. (2) \ud Companies must be the listed at the beginning of the period of observation and not on \ud the delisting until the end of the observation period. (3) The financial report include \ud the value of financial ratios to be studied include ROE, DER. (4) At the beginning of \ud the observation period until the end. Total of 20 samples obtained from 23 firms \ud during the observation period of five years in the Tekstil and garment sector. \ud \ud Data analysis with multi liniear regression of ordinary least square and \ud hypotheses test used t-statistic and F-statistic at level of significance 5%, a clasic \ud assumption examination which consist of data normality test, heteroskedasticity test \ud and autocorrelation test is also being done to test the hypotheses. \ud \ud This result of research show that Variable DER has negative significant \ud influence to ROE of manufacturing companies listed in IDX over period 2006???2010 \ud at level of significance 5% (as 0,000% each). Predictable of this variable toward \ud ROE is 38,2% as indicated by adjusted R square that is 38,2% while the rest 61,8% is \ud affected by other factors is not included into the study model. \ud \ud Key words : \ud Debt to Equity Ratio (DER) and Retrun on Equity (ROE)

Associations of Maternal Plasma Free Fatty Acid Profiles with Markers of Inflammation in Healthy Pregnant Women

We investigated the relationship between maternal fasting plasma free fatty acid (FFA) profiles and markers of inflammation (MOI) (IL-6, 8, 10, TNF-α, granulocyte macrophage colony-stimulating factor (GMCSF) and resistin) in healthy pregnant women during early gestation (week 16). These data suggested that maternal functional long-chain FFAs influence inflammatory response during normal pregnancy. Changes in specific FFA composition may reduce low-grade inflammation and inflammation related poor pregnancy outcomes and complications

Proliferation of Digital Twins: Towards new horizons of Digital Twin-technology

Digital Twin (DT) technology is at the forefront of the manufacturing integration of informatization and industrialization, pairing the datafied virtual world with the physical world of advanced manufacturing. It is a digital representation mirroring real-life objects, processes or systems, and as such DT is the spearhead of rapidly developing virtual simulation technology. While the concept of Digital Twins is relatively new, attention to the technology has exploded in recent years both in academia and among businesses. This is e.g. reflected by the placement of Digital Twin at the very peak of the Gartner Hype Cycle for 2019. Grasping the opportunities provided by Digital Twin-technology is therefore paramount in order to assess the current state-of-the-art of intelligent manufacturing, but also in order to fully exploit the potential benefits of intelligent manufacturing in an Industry 4.0-society.This paper first assesses the historical development of the Digital Twin-concept from the first proposition of the concept around 2002, through the incubation stage to the current growth stage. The paper then briefly examines the current state-of-the-art of Digital Twin in manufacturing through design, manufacturing, the use phase, and on to maintenance, repair and operation (MRO). After this, the remarkable current proliferation of the Digital Twin-concept is discussed. Now the concept is not only gradually expanding into more and more areas of the operating environment of the manufacturing industry, Digital Twin is also put to use in radically different contexts. There are increasingly Digital Twins of physical places, and DT is becoming an important tool for town planning and urban development. Smart City Digital Twins (SCDT) illuminates cities’ human-infrastructure-technology interactions, enables informed urban development choices and rapid responses to emergency situations. In 2019, the new Indian state capital Amaravanti, is thought to be the first ever city born with a Digital Twin approach. DTs are also used to simulate processes, and the idea of modelling complete operational environments for Digital Twin of an Organisation (DTO) is emerging. Also Personal Digital Twins (PDT) are appearing on the horizon as intelligent decision-assistance systems based on data algorithms and machine learning, aiding individuals in navigating through data-rich communication with machines, systems and other PDTs. Integrating digital, physical and social realms through PDTs can create superior customer experiences in both business-to-business and business-to-consumer markets and indeed fundamentally alter these markets. We can also expect that in the future novel products and services are innovated to Digital Twins, which is a novel challenge for companies and corporations. While digital twin in manufacturing and digital twins of smart cities has received significant academic attention in recent years, literature on DTOs and PDTs are hitherto very sparse. With the introduction and discussion of these concepts, the article therefore provides a significant contribution to the academic literature on digital twins.</p

Reimagining Finland as a Manufacturing Base: The Nearshoring Potential of Finland in an Industry 4.0 Perspective

After decades of globalization and outsourcing the idea of “bringing manufacturing back home” and the twin concepts of backshoring and nearshoring have received much attention in recent years. Recent positive stories from the Finnish manufacturing industry suggests Finland as an attractive target for nearshoring, yet little to none has hitherto been made of this connection. This article (i.) examines recent relocation literature with a focus on nearshoring and manufacturing in high-cost environments, (ii.) explores the location advantage of Finland, (iii.) analyses cases of recent manufacturing developments in Finland within this context as single incidents or signals of change, and (iv.) discusses this development within the perspective of Industry 4.0.</p

CHANG-ES XXVII: A Radio/X-ray Catalogue of Compact Sources in and around Edge-on Galaxies

We present catalogues of discrete, compact radio sources in and around the discs of 35 edge-on galaxies in the Continuum Halos in Nearby Galaxies -- an EVLA Survey (CHANG-ES). The sources were extracted using the PyBDSF program at both 1.6 GHz (L-band) and 6.0 GHz (C-band) from matching resolution ($\approx$ 3 arcsec) data. We also present catalogues of X-ray sources from Chandra data sets for 27 of the galaxies. The sources at the two radio frequency bands were positionally cross-correlated with each other, and the result cross-correlated with the X-ray sources. All catalogues are included for download with this paper. We detect a total of 2507 sources at L-band and 1413 sources at C-band. Seventy-five sources have been successfully cross-correlated in both radio bands plus X-ray. Three new nuclear sources are candidates for Low Luminosity Active Galactic Nuclei in NGC~3877, NGC~4192, and NGC~5792; the one in NGC~3877 also appears to be variable. We also find new nuclear sources in two companion galaxies: NGC~4435 (companion to NGC~4438) and NGC~4298 (companion to NGC~4302). We have also discovered what appears to be a foreground double-star; each star has X-ray emission and there is radio emission at both L-band and C-band in between them. This could be a colliding wind binary system. Suggestions for follow-up studies are offered.Comment: Accepted to MNRAS, 57 pages of which pages 30 to 57 are figures. 5 ancillary files containing tabular information, as explained in the appendice

Market Structure analysis with Herfindahl-Hirchman Index and Lauraéus-Kaivo-oja Indices in the Global Cobotics Markets

Research purpose. The study is focused on the expected market dynamics of global cobotics markets. This study investigates the current market structure of the global cobotics market. The scientific aim of the research is to report the first data-based market structure analysis of the global cobotics market with the HHI index and with the LKI index analysis. With analysis we are able to show the diversification rate of the global cobotics market.Design / Methodology / Approach. The methodology is based on conventional statistical index theory and statistics. The methodology is the calculation of the Herfindahl-Hirchman Index and the Lauraéus-Kaivo-oja Index. The authors compare the results of these two methodologies.Findings. The Herfindahl-Hirschman Index (HHI) and the Lauraéus-Kaivo-oja Index are statistical measures of market concentration, and they can be used to determine market competitiveness. This paper demonstrates novel data analytics possibilities of new market data collected by the Statzon, Ltd with various comparative analytical results and findings. By our analyses we can help multiple industrial stakeholders make faster decisions and better strategic plans with the easiest and fastest access to accurate, reliable, and up-to-date cobotics industry statistics, forecasts, and insights. The finding is that this study reveals the current market structure of global cobotics. It is a novel finding and result.Originality / Value / Practical implications. This paper demonstrates the novel and exciting possibilities of transparent index calculation tools. The authors provide original results. Authors underline that extra value added to stakeholders and customers will be provided by joint data pooling strategy of various data sources, which is a key approach of this paper. Real-time market structure analyses create reliable and knowledge-based information for decision-makers and stakeholders of the global cobotics industry.KeywordsMarket trendsMarket structure of global cobotics marketHerfindahl-Hirschman Index (HHI)Lauraéus-Kaivo-oja Index (LKI)Market data analyticsJEL ClassificationC13C53C63D52G28</ul

CHANG-ES XI: Circular Polarization in the Cores of Nearby Galaxies

We detect 5 galaxies in the CHANG-ES (Continuum Halos in Nearby Galaxies -- an EVLA Survey) sample that show circular polarization (CP) at L-band in our high resolution data sets. Two of the galaxies (NGC~4388 and NGC~4845) show strong Stokes $V/I\,\equiv\,m_C\,\sim\,2$\%, two (NGC~660 and NGC~3628) have values of $m_C\sim \,0.3$\%, and NGC~3079 is a marginal detection at $m_C\sim \,0.2$\%. The two strongest $m_C$ galaxies also have the most luminous X-ray cores and the strongest internal absorption in X-rays. We have expanded on our previous Faraday conversion interpretation and analysis and provide analytical expressions for the expected $V$ signal for a general case in which the cosmic ray electron energy spectral index can take on any value. We provide examples as to how such expressions could be used to estimate magnetic field strengths and the lower energy cutoff for CR electrons. Four out of our detections are {\it resolved}, showing unique structures, including a {\it jet} in NGC~4388 and a CP `conversion disk' in NGC~4845. The conversion disk is inclined to the galactic disk but is perpendicular to a possible outflow direction. Such CP structures have never before been seen in any galaxy to our knowledge. None of the galaxy cores show linear polarization at L-band. Thus CP may provide a unique probe of physical conditions deep into radio AGNs.Comment: 30 pages, 4 figures, accepted to MNRA