Introduction to the Special Issue on Exploring Service Science for Data-Driven Service Design and Innovation

Published Online:https://doi.org/10.1287/serv.2017.0195

References

  • Alexandrescu A, Buţincu CN, Craus M (2016) Improving after-sales services using mobile agents in a service-oriented architecture. Borangiu T, Drăgoicea M, Nóvoa H, eds. Exploring Services Science. Lecture Notes in Business Information Processing, Vol. 247 (Springer, Cham, Switzerland), 445–456.CrossrefGoogle Scholar
  • Baines T, Lightfoot H (2013) Servitization of the manufacturing firm: Exploring the operations practices and technologies that deliver advanced services. Internat. J. Oper. Production Management 34(1):2–35.CrossrefGoogle Scholar
  • Barile S, Polese F (2010) Smart service systems and viable service systems: Applying systems theory to service science. Service Sci.2(1–2):21–40.LinkGoogle Scholar
  • Borangiu T (2016) Digital transformation of manufacturing. Agent Technology Service Orientation. Plenary talk, 20th Internat. Conf. System Theory, Control Comput., October 13–15, Sinaia, Romania.Google Scholar
  • Borangiu T, Drăgoicea M, Oltean VE, Iacob I (2014) A generic service system activity model with event-driven operation reconfiguring capability. Borangiu T, Thomas A, Trentesaux D, eds. Service Orientation in Holonic and Multiagent Manufacturing and Robotics. Studies in Computational Intelligence, Vol. 544 (Springer, Cham Switzerland), 159–175.CrossrefGoogle Scholar
  • Borangiu T, Silişteanu A, Răileanu S, Iacob I (2017) Service orientation of environment control processes. Za S, Drăgoicea M, Cavallari M, eds. Exploring Services Science. Lecture Notes in Business Information Processing, Vol. 279 (Springer, Cham, Switzerland), 383–396.CrossrefGoogle Scholar
  • Center for Services Leadership (CSL) (2010) Research priorities for the science of service. Accessed December 11, 2017, https://wpcarey.asu.edu/sites/default/files/uploads/research/services-leadership/CSL-Business-Report.pdf.Google Scholar
  • Friedenthal S, Moore A, Steiner R (2006) OMG Systems Modeling Language (OMG SysMLTM) Tutorial. Object Management Group and INCOSE International Council of Systems Engineering. Retrieved January 10, 2017, http://www.omgsysml.org/SysML-Tutorial-Baseline-to-INCOSE-060524-low_res.pdf.Google Scholar
  • Galup SD, Dattero R, Quan JJ, Conger S (2009) An overview of IT service management. Comm. ACM 52(5):124–127.CrossrefGoogle Scholar
  • Gamboa Quintanilla F, Cardin O, L’Anton A, Castagna P (2016) A modeling framework for manufacturing services in service-oriented holonic manufacturing systems. Engineering Applications of Artificial Intelligence, Vol. 55 (Elsevier, Amsterdam), 26–36.CrossrefGoogle Scholar
  • Hunke F, Schritz R, Kuehl N (2017) Towards a unified approach to identify business model patterns: A case of E-mobility services. Za S, Drăgoicea M, Cavallari M, eds. Exploring Services Science. Lecture Notes in Business Information Processing, Vol. 279 (Springer, Cham, Switzerland), 182–195.CrossrefGoogle Scholar
  • Kwong CK, Huimin J, Luo XG (2016) AI-based methodology of integrating affective design, engineering and marketing for defining design specifications of new products. Chan KY, Yuen KKF, Palade V, Yue Y, eds. Engineering Applications of Artificial Intelligence, Vol. 47 (Elsevier, Amsterdam), 49–60.CrossrefGoogle Scholar
  • Le Dinh T, Phan T-C, Bui T, Vu MC (2016) A service-oriented framework for big data-driven knowledge management systems. Borangiu T, Drăgoicea M, Nóvoa H, eds. Exploring Services Science. Lecture Notes in Business Information Processing, Vol. 247 (Springer, Cham, Switzerland), 509–521.CrossrefGoogle Scholar
  • Leon F, Bădică C (2016) A freight brokering system architecture based on web services and agents. Borangiu T, Drăgoicea M, Nóvoa H, eds. Exploring Services Science. Lecture Notes in Business Information Processing, Vol. 247 (Springer, Cham, Switzerland), 537–546.CrossrefGoogle Scholar
  • McFarlane D, Giannikas V, Wong ACY, Harrison M (2013) Product intelligence in industrial control: Theory and practice. Ann. Rev. Control 37(1):69–88.CrossrefGoogle Scholar
  • MEGA (2017) Business process analysis. Retrieved March 26, 2017, http://www.mega.com/en/product/business-process-analysis.Google Scholar
  • Meierhofer J, Meier K (2017) From data science to value creation. Za S, Drăgoicea M, Cavallari M, eds. Exploring Services Science. Lecture Notes in Business Information Processing, Vol. 279 (Springer, Cham, Switzerland), 173–181.CrossrefGoogle Scholar
  • Miguéis V, Nóvoa H (2016) Using user-generated content to explore hotel service quality dimensions. Borangiu T, Drăgoicea M, Nóvoa H, eds. Exploring Services Science. Lecture Notes in Business Information Processing, Vol. 247 (Springer, Cham, Switzerland), 155–169.CrossrefGoogle Scholar
  • Oltean VE, Borangiu T, Drăgoicea M (2016) On a qualitative game theoretic approach of teacher-student interaction in a public higher education service system. Borangiu T, Drăgoicea M, Nóvoa H, eds. Exploring Services Science. Lecture Notes in Business Information Processing, Vol. 247 (Springer, Cham, Switzerland), 15–29.CrossrefGoogle Scholar
  • Peters C, Maglio P, Badinelli R, Harmon RR, Maull R, Spohrer JC, Tuunanen Tet al. (2016) Emerging digital frontiers for service innovation. Comm. Assoc. Inform. Systems 39(1):136–149.CrossrefGoogle Scholar
  • Rafati L, Poels G (2016) Service-dominant strategic sourcing: Value creation vs. cost saving. Borangiu T, Drăgoicea M, Nóvoa H, eds. Exploring Services Science. Lecture Notes in Business Information Processing, Vol. 247 (Springer, Cham, Switzerland), 30–44.CrossrefGoogle Scholar
  • Resta B, Gaiardelli P, Cavalieri S, Dotti S (2016) Designing and configuring the value creation network for servitization. Borangiu T, Drăgoicea M, Nóvoa H, eds. Exploring Services Science. Lecture Notes in Business Information Processing, Vol. 247 (Springer, Cham, Switzerland), 457–470.CrossrefGoogle Scholar
  • Schmitz B, Satzger G, Gitzel R (2017) More observations, more variables or more quality? Data acquisition strategies to enhance uncertainty analytics for industrial service contracting. Za S, Drăgoicea M, Cavallari M, eds. Exploring Services Science. Lecture Notes in Business Information Processing, Vol. 279 (Springer, Cham, Switzerland), 159–172.CrossrefGoogle Scholar
  • Spohrer J, Demirkan H, Lyons K (2015) Social value: A service science perspective. Kijima K, ed. Service Systems Science, Vol. 2 (Springer, Tokyo), 3–35.CrossrefGoogle Scholar
  • Stoshikj M, Kryvinska N, Strauss C (2016) Service systems and service innovation: Two pillars of service science. Shakshuki E, ed. Procedia Computer Science, Vol. 83 (Elsevier, Amsterdam), 212–220.CrossrefGoogle Scholar
  • Verlaine B, Jureta I, Faulkner S (2016) How can ITIL and agile project management coexist? Borangiu T, Drăgoicea M, Nóvoa H, eds. Exploring Services Science. Lecture Notes in Business Information Processing, Vol. 247 (Springer, Cham, Switzerland), 327–342.CrossrefGoogle Scholar
  • Wang B, Miao I, Zhao H, Jin J, Chen Y (2016) A biclustering-based market segmentation using customer pain points. Chan KY, Yuen KKF, Palade V, Yue Y, eds. Engineering Applications of Artificial Intelligence, Vol. 47 (Elsevier, Amsterdam), 101–109.CrossrefGoogle Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.