The technology for storing and using big data is evolving rapidly and those that can keep pace are likely to garner additional competitive advantages. One approach to uncovering existing practice in a manner that provides insights for building theory is the use of grounded theory. The current research employs qualitative research following a grounded theory approach to explore gap in understanding the relationship between big data (BD) and the supply chain (SC). In this study eight constructs emerged: Organizational and environmental factors, big data and supply chain analytics, alignment, data governance, big data capabilities, cost of quality, risk analysis and supply chain performance. The contribution of this research resulted in a new theoretical framework that provides researchers and practitioners with an ability to visualize the relationship between collection and use of BD and the SC. This framework provides a model for future researchers to test the relationships posited and continue to extend understanding about how BD can benefit SC practice. While it is anticipated that the proposed theoretical framework will evolve as a result of future examination and enhanced understating of the relationships shown the framework presented represents a critical first step for moving the literature and practice forward.

No description available.

No description available.

No description available.

I dagens digitala uppkopplade värld har traditionella vägar för kärlek och romantik genomgått betydande förändringar. Dejtingappar har snabbt blivit en central del av den moderna dejtingkulturen och erbjuder möjligheten att hitta kärlek med en enkel svepning. Denna studie utforskar hur kön och personlighetsdrag påverkar graden av seriositet i sökandet efter relationer på dejtingplattformar. Med en urvalsgrupp på 98 respondenter undersöker studien om kön och personlighetsdrag påverkar seriositeten i relationssökandet på dejtingappar. Hypoteser formulerades kring hur kön och specifika personlighetsdrag (extraversion, välvilja, samvetsgrannhet, neuroticism och öppenhet) påverkar seriositeten i relationssökandet. Studien antog, med hjälp av tidigare forskning, att män skulle vara de som var mindre seriösa i sitt relationssökande och kvinnor skulle vara mer seriösa (H1). De personlighetsdrag som studien hypotiserade skulle ha ett negativt samband med seriositet var extraversion (H2) och neuroticism (H5). Personlighetsdragen som hypotiserades ha ett positivt samband var välvilja (H3), samvetsgrannhet (H4) och öppenhet (H6). Till skillnad från de ursprungliga hypoteserna, visade studien ingen signifikant skillnad i seriositet mellan könen. Extraversion visade en oväntad positiv korrelation som stred mot förutsägelserna. Personlighetsdraget välvilja visade ett signifikant positivt samband med seriositeten i relationssökandet, medan samvetsgrannhet, neuroticism och öppenhet inte visade något signifikant samband. Dessa resultat tyder på att medan kön kanske inte spelar en betydande roll, kan specifika personlighetsdrag, särskilt vänlighet, påverka seriositeten i relationssökandet på dejtingplattformar. Vidare forskning krävs för att fördjupa förståelsen för hur dessa faktorer påverkar valet av relation i den digitala sfären. / In today's digitally connected world, traditional avenues for love and romance have undergone significant transformation. Dating apps have swiftly become a central aspect of modern dating culture, offering the opportunity to find love with a simple swipe. This study explores the impact of gender and personality traits on the level of seriousness in seeking relationships on dating platforms. Using a sample of 98 respondents, the study investigates whether gender and personality traits influence the seriousness of relationship-seeking behavior on dating apps. Hypotheses were formulated regarding the influence of gender and specific personality traits (extraversion, agreeableness, conscientiousness, neuroticism, and openness) on relationship seriousness. The study, based on previous research, assumed that men would be less serious in their relationship-seeking behavior, while women would be more serious (H1). The personality traits hypothesized to have a negative correlation with seriousness were extraversion (H2) and neuroticism (H5). The personality traits hypothesized to have a positive correlation were agreeableness (H3), conscientiousness (H4), and openness (H6). In contrast to the original hypotheses, the study found no significant difference in seriousness between genders. Extraversion showed an unexpected positive correlation contrary to predictions. Agreeableness demonstrated a significant positive correlation with relationship seriousness, while conscientiousness, neuroticism, and openness did not show any significant correlation. These findings suggest that while gender may not play a significant role, specific personality traits, particularly agreeableness, impact the seriousness of relationship-seeking behavior on dating platforms. Further research is warranted to delve deeper into how these factors influence the relationships you seek in the digital realm.

The dramatic growth of big data presents formidable challenges for traditional clustering methodologies, which often prove unwieldy and computationally expensive when processing vast quantities of data. This study explores a novel clustering approach exemplified by Sow & Grow, a density-based clustering algorithm akin to DBSCAN developed to address the issues inherent to big data by enabling end-users to strategically allocate computational resources toward regions of noted interest. Achieved through a unique procedure of seeding points and subsequently fostering their growth into coherent clusters, this method significantly reduces computational waste by ignoring insignificant segments of the dataset and provides information relevant to the end user. The implementation of this algorithm developed as part of this research showcases promising results in various experimental settings, exhibiting notable speedup over conventional clustering methods. Additionally, the incorporation of dynamic load balancing further enhances the algorithm's performance, ensuring optimal resource utilization across parallel processing threads when handling superclusters or unbalanced data distributions. Through a detailed study of the theoretical underpinnings of this innovative clustering approach and the limitations of traditional clustering techniques, this research demonstrates the practical utility of the Sow & Grow algorithm in expediting the clustering processes while providing results pertinent to end users.

Syftet med studien var att undersöka om det fanns skillnader i personlighetsdragen ingående i Big Five-modellen hos ledare i arbetslivet med hänsyn till deras syskonplacering. Studien genomfördes med en digital enkät där 65 deltagare medverkade. Mätinstrumentet som användes i studien var Big Five Inventory (BFI) som mätte deltagarnas personlighetsdrag i Big Five modellen (extraversion, neuroticism, välvillighet, samvetsgrannhet och öppenhet). Medelvärdet skiljde sig i varje personlighetsdrag hos förstfödda jämfört med sistfödda. Resultatet (Wilks´ Lambda) visade en signifikant effekt av syskonplacering, däremot visade de univariata analyserna ingen signifikant effekt för någon av personlighetsdragen på syskonplacering.

Extraversion och skam är psykologiska företeelser relaterade till social interaktion.  En individ som besitter en hög nivå av extraversion tros ha egenskaper som att vara pratsam, social, optimistisk och person-orienterad. Skam är en känsla som uppstår när en individ observeras kränka vad samhället skulle uppfatta som en moralisk eller social förväntan. Extraversion och skam kan anses vara sociala eftersom extraversion är hur du agerar och beter dig i en social miljö och skam är hur du skulle känna och reagera när skamliga känslor introduceras i dessa situationer. Utifrån detta undersöks i denna studie vilken typ av relation dessa två variabler har med varandra. Denna studie syftar till att utforska sambandet mellan extraversion och delskalorna i Compass of Shame-skalan. 52 deltagare i åldrarna 18-64 där 79% var kvinnor och 19% män besvarade ett frågeformulär bestående av 8 items från Big Five Inventory (BIF) som utgör delskalan om extraversion och 48 items från Compass of Shame Scale (CoSS). En korrelationsanalys och regressionsanalys utfördes med hjälp av statistikprogrammet SPSS. Resultaten indikerade ett måttligt samband och en negativ korrelation mellan extraversion och skam. Delskalorna skiljde sig inte nämnvärt i sin relation till extraversion och delskalorna hade även en mycket stark korrelation till varandra, vilket indikerar att de mäter samma sak även om CoSS påstår sig mäta olika dimensioner av skam. / Extraversion and shame are psychological phenomena related to social interaction. An individual who possesses a high level of extraversion is believed to have certain characteristics such as being talkative, social, optimistic and people-oriented. Shame is an emotion that arises when an individual is observed to be violating what society would perceive as a moral or social expectation. Extraversion and shame are considered to be social because extraversion is how you act and behave in a social setting and shame is how you would feel and react when shameful emotions are introduced into these situations. Based on this, this study examines what kind of relationship these two variables have with each other. This study aims to explore the relationship between extraversion and the subscales of the Compass of Shame scale. 52 participants aged 18-64 with 79% being women and 19% being men answered a questionnaire consisting of 8 items from the Big Five Inventory (BIF) that make up the extraversion subscale and 48 items from the Compass of Shame Scale (CoSS). A correlation analysis and a regression analysis were performed using the statistical program SPSS. The results indicated a moderate relationship and a negative correlation between extraversion and shame. The subscales did not differ significantly in their relationship to extraversion and the subscales also had a very strong relationship to each other, which indicates that they measure the same thing even though CoSS claims to measure different dimensions of shame.

Forskning har visat att personlighet och arbetsmotivation påverkar hur individer agerar och presterar på arbetet (Judge & Ilies, 2002). Genom att generera en förståelse för hur dessa faktorer samverkar med varandra kan organisationer skapa en arbetsmiljö som främjar både individens och organisationens framgång. Syftet med denna studie var därför att undersöka sambandet mellan personlighetsdragen i The Big Five och självskattad arbetsmotivation, med utgångspunkt i Self-determination theory samt att identifiera variationer i arbetsmotivationen relaterat till kön,ålder och tid i arbetslivet. Den första hypotesen var att det skulle finnas en positiv korrelation mellan yttre motivation och personlighetsdragen neuroticism och extraversion. Den andra hypotesen berörde korrelationen mellan inre motivation och följande personlighetsdrag:öppenhet, samvetsgrannhet, vänlighet, samt extraversion. Metoden som användes var en enkätundersökning, bestående av två validerade mätinstrument. Dessa var Ten Item Personality Inventory för att mäta personlighet, samt Multidimensional Work Motivation Scale för att mäta arbetsmotivation. 167 svar inkom, varav 160 användbara, 118 (73,7 %) var kvinnor och 42 (26,3%) män. Resultatet visade att samtliga regleringstyper för arbetsmotivation korrelerade signifikant med något av de fem personlighetsdragen. Det fanns en korrelation mellan neuroticism och fyra regleringstyper. Samvetsgrannhet korrelerade positivt med identifierad reglering. Öppenhet visade positiva samband med både intern och introjicerad reglering.Slutligen korrelerade extraversion positivt med samtliga regleringstyper utom extern. Analys av arbetsmotivation i förhållande till deltagarnas ålder visade att deltagare i ålderskategorin 41-70 år i högre grad motiveras av intern reglering, jämfört med ålderskategorin 18-30 som motiveras av extern reglering. Resultatet visade även skillnader på antal år i arbetslivet och vilken typ av reglering som styr ens motivation. / Research has shown that personality and work motivation affect how individuals act and perform at work (Judge & Ilies, 2002). By generating an understanding of how these factors interact with each other, organizations can create work environments that promote individual as well as organizational success. The aim of this study was therefore to examine the relationship between personality traits in The Big Five and self-estimated work motivation, based on self-determination theory and if there were any variations in work motivation depending on gender, age and number of years in working life. The first hypothesis was that there would be a positive correlation between extrinsic motivation and the personality traits neuroticism and extraversion. The second hypothesis concerned the correlation between intrinsic motivation and the following personality traits: openness to experience, conscientiousness, agreeableness and extraversion. The method of choice was a survey consisting of two validated measuring instruments. These were the Ten Item Personality Inventory to measure personality, and the Multidimensional Work Motivation Scale to measure work motivation. We received 167 responses, of which 160 were useful. 118 (73,7 %)were women and 42 (26,3 %) were men. Results showed that all regulation types for work motivation correlated significantly with at least one personality trait. There was a correlation between neuroticism and four regulation types. Conscientiousness correlated positively with identified regulation. Openness to experience showed positive correlations with both intrinsic and introjected regulation. Finally, there was positive correlation between extraversion and all regulation types except for external regulation. Analysis of work motivation in relation to the age of the participants showed that participants in the age category 41-70 years were motivated to a greater extent by intrinsic regulation, compared to the age category 18-30 who were motivated by external regulation. Results also showed differences in the number of years in working life and which type of regulation that control one’s motivation.

The fact is that every individual leaves behind vast amounts of data, companies collect this data and use the knowledge gained from it in a variety of ways. One area that is lucrative for the use of Big data is the financial sector. A prominent example of the use of Big data is real-time stock market insights. However, there are still industries in which Big data is not yet used for various reasons. One of these industries is the tax consulting sector, which will be the focus of this research. With its high entry hurdles, direct dependence on the legislator, and the associated atypical data sets, the tax consulting sector represents a special use case within the financial sector.   Because big data has not been used in the tax consulting sector yet and that the setting is atypical compared to other sectors, a closer analysis of potential influences on services, the working environment, and quality is of particular interest here. This analysis is the core of this study and was carried out using an interpretative qualitative approach in the form of a case study. In this case study, the three most important stakeholders of Austrian tax consultancies- employers, employees, and clients - were interviewed on the one hand through interviews and on the other hand through a survey with open-ended questions. The results were then compared in the discussion with the changes that studies in other fields have identified.   The results of the study showed that the stakeholders predominantly assume that the quality of services will improve significantly through the use of big data, especially in accounting and business management services. Stakeholders also predicted a positive development concerning the range of services offered. It was also predicted that the range of services offered could increase on the one hand and that services of a business management nature could benefit enormously on the other. In the area of the working environment, employees said that increased training activity and process adaptation would be the only significant changes. In the area of risks, all three stakeholder groups agreed and mentioned data protection. Interesting differences between the three stakeholder groups were on the one hand that the employers gave very detailed answers, which allows the assumption that they have already thought carefully about the topic of big data. On the other hand, in contrast to the other two groups, the employees did not primarily think of their area (work environment) in the analysis, but of that of the clients and thus of the provision of the service. This underlines the strong focus on client satisfaction and encourages a more intensive involvement in the design process.   In contrast to other studies, this thesis analyses the influences on the areas not from a retrospective point of view, but a prospective point of view. This approach allows an unbiased look at the opinions of stakeholders and thus provides the best possible information for the design of big data tools for the tax consulting sector. Besides, by comparing this with changes found in other studies, it is possible to estimate how the use of big data in the tax consulting sector differs from other sectors.