nach oben

Information Systems Frontiers

Erschienen in:

30.01.2022

Investigating the Market Success of Software-as-a-Service Providers: the Multivariate Latent Growth Curve Model Approach

Erschienen in: Information Systems Frontiers | Ausgabe 2/2023

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Software-as-a-Service (SaaS) Cloud computing as the next stage of internet evolution provides all the computing resources as services over the Internet. In the SaaS cloud computing research area, there are many studies from the user’s point of view, but there is relatively little research on the supplier’s success strategy. The purpose of this study is to empirically analyze the factors that determine the market competitiveness necessary for SaaS cloud computing providers to survive in the mid to long term. We presented application dimension and technology maturity as SaaS idiosyncratic factors and show how these factors influence the business performance of SaaS providers through a differentiation strategy and low-cost strategy. Using a multivariate latent growth curve model, this study analyzed 199 strategic business units of SaaS cloud computing providers in Korea for three years. Our results find that SaaS cloud computing idiosyncratic factors did not significantly enhance the software providers’ business performance in the early stage. However, they significantly affected the growth rate of their customer base and financial performance as the SaaS technology became mature over time. In addition, this study identifies a set of business, strategic, and technical considerations to guide the practitioners’ decision-making process for selecting an appropriate SaaS cloud computing model.

Vorheriger Artikel Visualizing Convolutional Neural Network Models’ Sensitivity to Nonnatural Data Order

Nächster Artikel The challenges of entering the metaverse: An experiment on the effect of extended reality on workload

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Nur mit Berechtigung zugänglich

Aldrich, H. E. (1979). 1979 Organizations and environments. Englewood Cliffs, NJ: Prentice-Hall

Ali, A. (1994). Pioneering versus incremental innovation: review and research propositions. Journal of Product Innovation Management, 11(1), 46–61CrossRef

Alotaibi, M. B. (2016). Antecedents of software-as-a-service (SaaS) adoption: a structural equation model. International Journal of Advanced Computer Research, 6(25), 114–129. https://doi.org/10.19101/ijacr.2016.626019CrossRef

Al-Ruithe, M., Benkhelifa, E., & Hameed, K. (2016). A conceptual framework for designing data governance for cloud computing. Procedia Computer Science, 94, 160–167. https://doi.org/10.1016/j.procs.2016.08.025CrossRef

Ang, S., & Straub, D. W. (1998). Production and transaction economies and IS outsourcing: A study of the US banking industry. MIS Quarterly, 535–552

Anthes, G. (2008). Sold on SaaS - Four companies that swear by software as a service tell why. Computerworld, 21–23

Aroian LA (1947) The probability function of the product of two normally distributed variables. The Annals of Mathematical Statistics, 18(2), 265–271CrossRef

Balakumar S, Kavitha A (2018) Docker Container Service for Microservice Applications. International Journal of Pure and Applied Mathematics, 119(12), 15591–15596

Baron RM, Kenny DA (1986) The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173CrossRef

Bennett C, Timbrell G (2000) Application service providers: will they succeed? Information Systems Frontiers, 2(2), 195–211CrossRef

Bergeron F, Raymond L (1992) The advantages of electronic data interchange. ACM SIGMIS Database, 23(4), 19–31CrossRef

Bogner, W. C., & Thomas, H. (1996). From skills to competences: the ‘play-out’of resource bundles across firms. Dynamics of Competence-Based Competition: Theory and Practice in the new Strategic Management, 101–117

Boillat, T., & Legner, C. (2013) From on-premise software to cloud services: the impact of cloud computing on enterprise software vendors’ business models. Journal of Theoretical and Applied Electronic Commerce Research. 8(3), 39–58CrossRef

Bollen, K. A., Christ, S. L., & Hipp, J. R. (2004). Growth curve model. The Sage encyclopedia of social science research methods. Thousand Oaks, CA: SAGE Publishing

Buzzell, R. D., Buzzell, R. D., Gale, B. T., & Gale, B. T. (1987). The PIMS principles: Linking strategy to performance. Simon and Schuster

CARR N. (2009). The big switch: rewiring the world from Edison to Google. WW Norton & Company

Cavusgil, S., & Zou, S. (1994). Marketing strategy-performance relationship: an investigation of the empirical link in export market ventures. Journal of Marketing, 58(1), 1–21CrossRef

Chan, A. Y. M., & Cho, V. (2009). Application Service Providers (ASP) adoption in core and non-core functions. International Journal of Engineering, 1(2), 35–40

Cheong, J., Mackinnon, D. P., Khoo, S. T. (2003). Investigation of mediational processes using parallel process latent growth curve modeling. Structural Equation Modeling: A Multidisciplinary Journal,10(2), 238. https://doi.org/10.1207/S15328007SEM1002_5CrossRef

Choudhary, V. (2007). Comparison of software quality under perpetual licensing and software as a service. Journal of Management Information Systems, 24(2), 141–165CrossRef

Cooper, R., & Kleinschmidt, E. (1985). The impact of export strategy on export sales performance. Journal of International Business Studies, 16(1), 37–55CrossRef

Currie, W., & Seltsikas, P. (2001). Exploring the supply-side of IT outsourcing: evaluating the emerging role of application service providers. European Journal of information systems, 10(3), 123–134CrossRef

Currie, W., Joyce, P., & Winch, G. (2007). Evaluating application service provisioning using system dynamics methodology. British Journal of Management, 18(2), 172–191CrossRef

David, B. (2006). SaaS reality check. OVUM Technical Reprt2006

Delmond, M. H., Coelho, F., Keravel, A., & Mahl, R. (2016). How information systems enable digital transformation: a focus on business models and value Co‐production. HEC Paris Research Paper No. MOSI-2016-1161

DeLone, W., & McLean, E. (1992). Information systems success: the quest for the dependent variable. Information Systems Research, 3(1), 60–95CrossRef

Dess, G. G., & Davis, P. S. (1984). Porter's (1980) generic strategies as determinants of strategic group membership and organizational performance. Academy of Management Journal, 27(3), 467–488

Dos Santos, B., Peffers, K., & Mauer, D. (1993). The impact of information technology investment announcements on the market value of the firm. Information Systems Research, 4(1), 1–23CrossRef

Drolet, A., & Morrison, D. (2001). Do we really need multiple-item measures in service research? Journal of Service Research, 3(3), 196–204CrossRef

Dubey, A., Wagle, D., & Jha, D. (2007). Delivering software as a service-The McKinsey Quarterly

El Kafhali, S., & Salah, K. (2018). Performance analysis of multi-core VMs hosting cloud SaaS applications. Computer Standards & Interfaces, 55, 126–135. https://doi.org/10.1016/j.csi.2017.07.001CrossRef

Firoz Suleman, M., Rashidirad, M., & Firoz Suleman, S. (2019). The applicability of Porter's generic strategies in pure online firms: A case study approach. Strategic Change, 28(3), 167–176. https://doi.org/10.1002/jsc.2258

Floerecke, S. (2018). Success factors of SaaS providers’ business models–an exploratory multiple-case study. Paper presented at the International Conference on Exploring Service Science

Gallardo G, Hernantes J, Serrano N (2018) Designing SaaS for enterprise adoption based on task, company, and value-chain context. IEEE Internet Computing, 22(4), 37–45CrossRef

Gangwar, H., Date, H., & Ramaswamy, R. (2015). Understanding determinants of cloud computing adoption using an integrated TAM-TOE model. Journal of Enterprise Information Management, 28(1), 107–130. https://doi.org/10.1108/jeim-08-2013-0065CrossRef

Gardner, D., Cummings, L., Dunham, R., & Pierce, J. (1998). Single-item versus multiple-item measurement scales: An empirical comparison. Educational and Psychological Measurement, 58(6), 898–915CrossRef

Garrison, G., Kim, S., & Wakefield, R. L. (2012). Success factors for deploying cloud computing. Communications of the ACM, 55(9), 62–68. https://doi.org/10.1145/2330667.2330685CrossRef

Gebauer, J., Shaw, M. J., & Subramanyam, R. (2007). Once built well, they might come: An empirical study of mobile e-mail. College of Business, University of Illinois at Urbana-Champaign

Glueck, W. F. (1972, August). Business policy: Reality and promise. In Academy of Management Proceedings (Vol. 1972, No. 1, pp. 108–111). Briarcliff Manor, NY 10510: Academy of Management

Golder, P. N., & Tellis, G. J. (1993). Pioneer advantage: Marketing logic or marketing legend?. Journal of Marketing Research, 30(2), 158–170

Goodman, L. A. (1960). On the exact variance of products. Journal of the American Statistical Association, 55(292), 708–713CrossRef

Govindarajan, V. (1988). A contingency approach to strategy implementation at the business-unit level: integrating administrative mechanisms with strategy. Academy of Management Journal, 31(4), 828–853CrossRef

Greschler, D., & Mangan, T. (2002b). Networking lessons in delivering’Software as a Service’-Part II. International Journal of Network Management, 12(6), 339–345CrossRef

Greschler, D., & Mangan, T. (2002a). Networking lessons in delivering ‘Software as a Service’-part I. International Journal of Network Management, 12(5), 317–321. https://doi.org/10.1002/nem.446CrossRef

Guo, Z., & Ma, D. (2018). A model of competition between perpetual software and software as a service. MIS Quarterly, 42(1), 1CrossRef

Habjan, K. B., & Pucihar, A. (2017a). Cloud computing adoption business model factors: does enterprise size matter? Engineering Economics, 28(3), 253–261

Habjan, K. B., & Pucihar, A. (2017b). The importance of business model factors for cloud computing adoption: role of previous experiences. Organizacija, 50(3), 255

Hackney, R. A., & Tassabehji, R. (2016). 'Hey You Get Off My Cloud’: evaluating cloud services for business value within Pharma X

Hagedoorn, J. (1993).Understanding the rationale of strategic technology partnering: Nterorganizational modes of cooperation and sectoral differences. Strategic Management Journal, 14(5), 371–385CrossRef

Hanseth, O., & Ciborra, C. (2007). Risk, complexity and ICT. Edward Elgar PublishingCrossRef

Hazard, J. (2006). SAAS: More, not less, channel, eWeek

Hedman, J., & Xiao, X. (2016, January). Transition to the cloud: a vendor perspective. In 2016 49th Hawaii International Conference on System Sciences (HICSS) (pp. 3989-3998). IEEE

Hentschel, R., Leyh, C., & Baumhauer, T. (2019, January). Critical success factors for the implementation and adoption of cloud services in SMEs. In Proceedings of the 52nd Hawaii International Conference on System Sciences

Huang, J., Kauffman, R. J., & Ma, D. (2015). Pricing strategy for cloud computing: A damaged services perspective. Decision Support Systems, 78, 80–92. https://doi.org/10.1016/j.dss.2014.11.001CrossRef

Iacovou, C. L., Benbasat, I., & Dexter, A. S. (1995). Electronic data interchange and small organizations: Adoption and impact of technology. MIS Quarterly, 19(4), 465–485CrossRef

Igbaria, M., Zinatelli, N., Cragg, P., & Cavaye, A. L. M. (1997) Personal computing acceptance factors in small firms: A structural equation model. MIS Quarterly, 21(3), 279–305. https://doi.org/10.2307/249498CrossRef

Jaiswal, M., Prasad, R., & Nath, D. (2009). A Multi Influence framework of Enterprise systems adoption on Service mode (SaaS) and opportunities for future research. In 7th Annual Conference on Information Science & Technology Management

Jayatilaka, B., Schwarz, A., & Hirschheim, R. (2003). Determinants of ASP choice: an integrated perspective. European Journal of Information Systems, 12(3), 210–224CrossRef

Kaplan, R. S., & Norton, D. P. (1996). Using the balanced scorecard as a strategic management system

Kern, T., Kreijger, J., & Willcocks, L. (2002). Exploring ASP as sourcing strategy: theoretical perspectives, propositions for practice. Journal of Strategic Information Systems, 11(2), 153–177CrossRef

Khandwalla, P. (1976). The techno-economic ecology of corporate strategy. Journal of Management Studies, 13(1), 62–75CrossRef

Kim, E., Nam, D. I., & Stimpert, J. L. (2004). The applicabilityof Porter’s Genericstrategies in the digital age:assumptions, conjectures, and suggestions. Journal of Management, 30(5), 569–589. https://doi.org/10.1016/j.jm.2003.12.001CrossRef

Kim, S. H., Jang, S. Y., & Yang, K. H. (2017). Analysis of the determinants of software-as-a-service adoption in small businesses: risks, benefits, and organizational and environmental factors. Journal of Small Business Management, 55(2), 303–325. https://doi.org/10.1111/jsbm.12304CrossRef

Kishore, R., Agrawal, M., & Rao, H. (2004). Determinants of sourcing during technology growth and maturity: An empirical study of e-commerce sourcing. Journal of Management Information Systems, 21(3), 47–82CrossRef

Kline, R. B. (2010). Principles and practice of structural equation modeling. Guilford Press

Kotler, P. (2007). Marketing management. Pearson Prentice Hall

Labes, S., Hanner, N., & Zarnekow, R. (2017). Successful business model types of cloud providers. Business & Information Systems Engineering, 59(4), 223–233CrossRef

Lance, C. E., Vandenberg, R. J., & Self, R. M. (2000). Latent growth models of individual change: the case of newcomer adjustment. Organizational Behavior and Human Decision Processes, 83(1), 107–140CrossRef

Lavie, D. (2007). Alliance portfolios and firm performance: A study of value creation and appropriation in the US software industry. Strategic Management Journal, 28(12), 1187–1212CrossRef

Lee, H., & Kim, J. (2007). Exploringsuccess factors for application service provider based information systems: an application for small businesses. International Journal of Human-Computer Studies, 65(9), 796–815CrossRef

Lee, S., & Lim, G. G. (2003). The impact of partnership attributes on EDI implementation success. Information & Management, 41(2), 135–148CrossRef

Leem, C., & Kim, I. (2004). An integrated evaluation system based on the continuous improvement model of IS performance. Industrial Management and Data Systems, 104(2), 115–128CrossRef

Lucas, H. Jr. (1975). Performance and the use of an information system. Management Science, 21(8), 908–919CrossRef

Ma, D., & Kauffman, R.J. (2014). Competition between software-as-a-service vendors. IEEE Transactions on Engineering Management, 61(4), 717–729. https://doi.org/10.1109/tem.2014.2332633CrossRef

Ma, D., & Seidmann, A. (2015). Analyzing software as a service with per-transaction charges. Information Systems Research, 26(2), 360–378. https://doi.org/10.1287/isre.2015.0571CrossRef

MacCallum, R. Ð., Kim, C., Malarkey, W. B., & Kiecolt-Glaser, J. K. (1997) Studying multivariate change using multilevel models and latent curve models. Multivariate Behavioral Research, 32(3), 215–253CrossRef

MacKinnon, D.P., & Dwyer, J.H. (1993). Estimating mediated effects in prevention studies. Evaluation Review, 17(2), 144–158CrossRef

MacKinnon, D. P., Warsi, G., & Dwyer, J. H. (1995). A simulation study of mediated effect measures. Multivariate Behavioral Research, 30(1), 41–62CrossRef

Madsen, T. K. (1987). Empirical export performance studies: a review of conceptualizations and findings. Advances in Internation Marketing, 2, 177–198

Marsan, C. D. (2003). Gauging the network effect of grids. Network World, 20(17), 21–21

Massetti, B., & Zmud, R. W. (1996). Measuring the extent of EDI usage in complex organizations: strategies and illustrative examples. MIS Quarterly, 20(3), 331–345CrossRef

McArdle, J. J., & Epstein, D. (1987). Latent growth curves within developmental structural equation models. Child Development, 58(1), 110–133CrossRef

Meredith, W., & Tisak, J. (1990). Latent curve analysis. Psychometrika, 55(1), 107–122CrossRef

Miller, D. (1988). Relating Porter's business strategies to environment and structure: Analysis and performance implications. Academy of management Journal, 31(2), 280–308

Miller, D., & Friesen, P. H. (1986). Porter’s generic strategies and performance: An empirical examination with American data. Organization Studies, 7(1), 37–55CrossRef

Morgan, L., & Conboy, K. (2013). Value creation in the cloud: understanding business model factors affecting value of cloud computing. Association for Information Systems

Muthen, B. (1983). Latent variable structural equation modeling with categorical data. Journal of Econometrics, 22(1–2), 43–65CrossRef

Muthen, B. O. (1991). Analysis of longitudinal data using latent variable models with varying parameters. American Psychological AssociationCrossRef

Muthén, B. O. (2001). Latent variable mixture modeling. In New developments and techniques in structural equation modeling (pp. 21–54): Psychology Press

Nolan, R. L. (1979). Managing crises of data processing. Harvard Business Review, 3(4)

Norton, D. (2006). Software as a service: component development challenges

Oliveira, T., Thomas, M., & Espadanal, M. (2014). Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors. Information & Management, 51(5), 497–510. https://doi.org/10.1016/j.im.2014.03.006CrossRef

Oliveira, T., Martins, R., Sarker, S., Thomas, M., & Popovič, A. (2019). Understanding SaaS adoption: The moderating impact of the environment context. International Journal of Information Management, 49, 1–12. https://doi.org/10.1016/j.ijinfomgt.2019.02.009CrossRef

OpenGroup. (2006). Service Integration maturity model technical standard: overview of the OSIMM. Open Group Technical Standard, The Open Group

Ouyang, C., Adams, M., ter Hofstede, A. H., & Yu, Y. (2018, October). Towards the design of a scalable business process management system architecture in the cloud. In International Conference on Conceptual Modeling (pp. 334-348). Springer, Cham

Patnayakuni, R., & Seth, N. (2001, April). Why license when you can rent? Risks and rewards of the application service provider model. In Proceedings of the 2001 ACM SIGCPR conference on Computer personnel research (pp. 182–188)

Penzel, D., Kryvinska, N., & Strauss, C. (2017). Cloud market–analysis of potentials and challenges for service providers. In The 23rd Americas Conference on Information Systems (AMCIS 2017) (pp. 10–12)

Perera, S., Harrison, G., & Poole, M. (1997). Customer-focused manufacturing strategy and the use of operations-based nonfinancial performance measures: a research note. Accounting, Organizations and Society, 22(6), 557–572

Pfeffer, J. (1994). Competitive advantage through people: Unleashing the power of the work force. Harvard Business School PrCrossRef

Porter M (1998) Competitive strategy: techniques for analyzing industries and competitors: with a new introduction Free Pr

Saif, N. M. A. (2015). How does marketing strategy influence firm performance? Implementation of marketing strategy for firm success. International Journal of Innovation and Economic Development, 1(3), 7–15CrossRef

Sandanayake, T.C., & Jayangani, P. (2018) Current trends in Software as a Service (SaaS). International Journal for Innovation Education and Research, 6(2), 221–234CrossRef

Schneider, S., & Sunyaev, A. (2016). Determinant factors of cloud-sourcing decisions: reflecting on the IT outsourcing literature in the era of cloud computing. Journal of Information Technology, 31(1), 1–31. https://doi.org/10.1057/jit.2014.25CrossRef

Schwertner, K. (2017). Digital transformation of business. Trakia Journal of Sciences, 15(1), 388–393CrossRef

Shankar, R., & Duraisamy, S. (2018). Different service models and deployment models of cloud computing: Challenges. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 3(7), 2456–3307

Shao, M., Peng, L., & Li, Y. (2015, June). A study on enterprise technology adoption of SaaS. In 2015 12th International Conference on Service Systems and Service Management (ICSSSM) (pp. 1–6). IEEE

Stuart, T. E. (2000). Interorganizational alliances and the performance of firms: A study of growth and innovation rates in a high-technology industry. Strategic Management Journal, 21(8), 791–811CrossRef

Sui, X., & Sui, Y. (2018, October). A Summary of cloud computing and its technology research. In 8th International Conference on Management and Computer Science (ICMCS 2018) (pp. 176-179). Atlantis Press

Sundararajan, A. (2004). Nonlinear pricing of information goods. Management Science, 50(12), 1660–1673CrossRef

Tan, D. S. (2001). Stages in information systems management. In Making Supply Chain Management Work (pp. 145–170). Auerbach Publications

Triandis, H. C. (1979). Values, attitudes, and interpersonal behavior. In Nebraska symposium on motivation. University of Nebraska Press

Utterback, J. M. (1996). Mastering the dynamics of innovation. Harvard Business Press

Varghese, B., & Buyya, R. (2018). Next generation cloud computing: New trends and research directions. Future Generation Computer Systems, 79, 849–861. https://doi.org/10.1016/j.future.2017.09.020CrossRef

Venkatraman, N. (1994). IT-enabled business transformation: from automation to business scope redefinition. Sloan Management Review, 35, 73–73

Venkatraman, N., & Prescott, J. (1990) Environment-strategy coalignment: an empirical test of its performance implications. Strategic Management Journal, 11(1), 1–23CrossRef

Wang, H., Zheng, H., & Meng, F. (2018, October). Application of SaaS mode in customizable graduation design management system. In 2018 9th International Conference on Information Technology in Medicine and Education (ITME) (pp. 379–383). IEEE

Weber, J. A. (1976). Planning corporate growth with inverted product life cycles. Long Range Planning, 9(5), 12–29CrossRef

Williamson, O. E. (1981). The economics of organization: The transaction cost approach. American Journal of Sociology, 87, 3548–3577CrossRef

Winkler, T. J., & Brown, C. V. (2014). Horizontal allocation of decision rights for on-premise applications and Software-as-a-Service. Journal of Management Information Systems, 30(3), 13–48. https://doi.org/10.2753/mis0742-1222300302CrossRef

Wu, W. W., Lan, L. W., & Lee, Y. T. (2011). Exploring decisive factors affecting an organization’s SaaS adoption: A case study. International Journal of Information Management, 31(6), 556–563. https://doi.org/10.1016/j.ijinfomgt.2011.02.007CrossRef

Xiao-tao, X., Zhe, C., Fei, J., & Hui-tao, W. (2016). Research on service-oriented cloud computing information security mechanism. In 2016 2nd IEEE International Conference on Computer and Communications (ICCC) (pp. 2697–2701). IEEE

Zahra, S. A., & Bogner, W. C. (2000). Technology strategy and software new ventures’ performance: exploring the moderating effect of the competitive environment. Journal of Business Venturing, 15(2), 135–173CrossRef

Titel: Investigating the Market Success of Software-as-a-Service Providers: the Multivariate Latent Growth Curve Model Approach
Publikationsdatum: 30.01.2022
Erschienen in: Information Systems Frontiers / Ausgabe 2/2023
Print ISSN: 1387-3326
Elektronische ISSN: 1572-9419
DOI: https://doi.org/10.1007/s10796-021-10188-8

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Weitere Artikel der Ausgabe 2/2023

Key Factors in Achieving Service Level Agreements (SLA) for Information Technology (IT) Incident Resolution

Password and Passphrase Guessing with Recurrent Neural Networks

A Theory-based Deep-Learning Approach to Detecting Disinformation in Financial Social Media

The challenges of entering the metaverse: An experiment on the effect of extended reality on workload

A Task-Technology-Identity Fit Model of Smartwatch Utilisation and User Satisfaction: A Hybrid SEM-Neural Network Approach

Heterogeneous Information Fusion based Topic Detection from Social Media Data

Premium Partner