Essays about: "How Information Systems Support The Business Process"

Showing result 1 - 5 of 37 essays containing the words How Information Systems Support The Business Process.

  1. 1. How Venture Capital Could Use Large Language Models to Screen Sustainability Impact Startups

    University essay from Lunds universitet/Miljö- och energisystem

    Author : Måns Vilhelm Tivenius; Karl-Gustav Elf; [2023]
    Keywords : Large Language Models; Venture Capital; Impact Investing; Prompt Engineering; GPT-4; ChatGPT; Impact; Sustainability; Artificial Intelligence; Startup success; Impact startup; Impact measurement; Screening; AI for good; Technology and Engineering;

    Abstract : This study investigates the potential of large language models (LLMs), such as ChatGPT, to aid venture capitalists in the screening of startups that maximize sustainability impact. To determine the scope that maximizes impact for venture capitalists' and to identify effective screening criteria, the study utilized theoretical research and interviews. READ MORE

  2. 2. NEW ENTERPRISE RESOURCE PLANNING IMPLEMENTATION IN THE SWEDISH LANDSCAPE : An explorative study of employees’ perspectives on Organizational Support and its barriers

    University essay from Mälardalens universitet/Akademin för ekonomi, samhälle och teknik

    Author : Rafael Reis Siribeli; Andoni Saval Sanchez; [2023]
    Keywords : Organization Support; Organizational Inertia; Enterprise Resource Planning; Information Systems;

    Abstract : Date: 2024-01-04 Level: Bachelor thesis in Business Administration, 15 cr Institution: School of Business, Society and Engineering, Mälardalen University  Authors: Andoni Saval Sanchez Rafael Reis Siribeli  Title: New Enterprise Resource Planning Implementation in the Swedish Landscape.  Supervisor: Emre Yildiz  Keywords: Organization Support, Organizational Inertia, Enterprise Resource Planning, Information Systems  Research question: What are the primary organizational support actions that employees from different firms in Sweden claim to impact the most when adopting new technologies?  Purpose: The purpose is to explore how organizational support actions affect employees' adoption of Enterprise Resource Planning (ERP) systems in Sweden, analyzing their adaptation, behavioral intentions and firm’s actions, and providing recommendations for firms in the edge of implementing such systems. READ MORE

  3. 3. Evaluation of Machine Learning techniques for Master Data Management

    University essay from Högskolan i Skövde/Institutionen för informationsteknologi

    Author : Fatime Toçi; [2023]
    Keywords : Master Data Management; Machine Learning; data quality; data duplicates;

    Abstract : In organisations, duplicate customer master data present a recurring problem. Duplicate records can result in errors, complication, and inefficiency since they frequently result from dissimilar systems or inadequate data integration. READ MORE

  4. 4. Analytics adoption in manufacturing – benefits, challenges and enablers

    University essay from Mälardalens universitet/Innovation och produktrealisering

    Author : Junia Cupertino Ribeiro; [2022]
    Keywords : Analytics; Production; Performance monitoring; Industry 4.0;

    Abstract : Digitalisation is changing the manufacturing landscape with promises to enhance industrial competitiveness with new technologies and business approaches. Various data-driven applications, enabled by digital technologies, can support process monitoring, production quality control, smart planning, and optimisation by making relevant data available and accessible to different roles in production. READ MORE

  5. 5. Improving Decision Making Through the Use of BI&A and a Data-Driven Culture

    University essay from Göteborgs universitet/Företagsekonomiska institutionen

    Author : Fredrik Öberg; Gustav Öhman; [2020-07-08]
    Keywords : Decision Making; Data-Driven Decision Making; Data-Driven Cultures; Data- Driven Organisations; Management Accounting; BI A; BI; Business Intelligence;

    Abstract : Background and problem: Today, businesses act in an increasingly complex environment, that requires organizations to be more adaptive. This increases the value of data analytics and decision support systems such as Business Intelligence & Analytics (BI&A) for decision makers and enables them to make better and quicker decisions. READ MORE