Automation as Migration? - identifying Factors Influencing Adoption of RPA in Local Government

This paper is part of a research project that investigates and provides guidance regarding the adoption and implications of automation in the Swedish local government. Automation technologies, such as Robotic Process Automation (RPA), are well established in the private and the public sector. In this paper, we discuss whether the adoption of RPA can be seen as migration towards automation. The aim is to evaluate the Push-Pull-Mooring (PPM) framework to understand better what factors influence local government adoption. By analysing RPA suppliers, RPA developers, and local government representatives' perspectives, we have identified push, pull, and mooring factors potentially influencing the decision to adopt, i.e., accepting or rejecting RPA. We, therefore, argue that the PPM framework seems to be a fruitful way of researching factors influencing the adoption of automation and the concept of automation as migration further.

[1]  Raissa Uskenbayeva,et al.  Applying of RPA in Administrative Processes of Public Administration , 2019, 2019 IEEE 21st Conference on Business Informatics (CBI).

[2]  Erin L. Borry,et al.  Automation in the Public Sector: Efficiency at the Expense of Equity? , 2018, Public Integrity.

[3]  Elin Wihlborg,et al.  "The Computer Says No!" -- A Case Study on Automated Decision-Making in Public Authorities , 2016, 2016 49th Hawaii International Conference on System Sciences (HICSS).

[4]  E. Straub.  Understanding Technology Adoption: Theory and Future Directions for Informal Learning , 2009 .

[5]  Helle Zinner Henriksen,et al.  Value positions viewed through the lens of automated decision-making: The case of social services , 2019, Gov. Inf. Q..

[6]  Ángel Viña,et al.  An alternative architecture for financial data integration , 2004, CACM.

[7]  Esko Penttinen,et al.  How to Choose between Robotic Process Automation and Back-end System Automation? , 2018, ECIS.

[8]  Anselm L. Strauss,et al.  Basics of qualitative research : techniques and procedures for developing grounded theory , 1998 .

[9]  Frank Bannister,et al.  ICT, public values and transformative government: A framework and programme for research , 2014, Gov. Inf. Q..

[10]  Alejandro Rodriguez,et al.  Automation of a Business Process Using Robotic Process Automation (RPA): A Case Study , 2017, WEA.

[11]  Ruchi Issac,et al.  Delineated Analysis of Robotic Process Automation Tools , 2018, 2018 Second International Conference on Advances in Electronics, Computers and Communications (ICAECC).

[12]  Simon P Taylor.  Innovation in the public sector: dimensions, processes, barriers and developing a fostering framework , 2018 .

[13]  Ulf Melin,et al.  Artificial Intelligence in Swedish Policies: Values, Benefits, Considerations and Risks , 2019, EGOV.

[14]  A. O'Cass,et al.  Consumers' and Providers' perceptions of child care service delivery , 2001 .

[15]  P. Verhoef,et al.  Understanding Customer Switching Behavior in a Liberalizing Service Market , 2007 .

[16]  Jan-Erik Lane,et al.  Public sector reform : rationale, trends and problems , 1997 .

[17]  Helen Gavin,et al.  Understanding Research Methods and Statistics in Psychology , 2008 .

[18]  Richard Heeks.  Reinventing Government in the Information Age: International Practice in IT-Enabled Public Sector Reform , 2002 .

[19]  I-Cheng Chang,et al.  The push, pull and mooring effects in virtual migration for social networking sites , 2014, Inf. Syst. J..

[20]  Kit Hong Wong,et al.  Applying push-pull-mooring to investigate channel switching behaviors: M-shopping self-efficacy and switching costs as moderators , 2017, Electron. Commer. Res. Appl..

[21]  Sebastian K. Boell,et al.  A Hermeneutic Approach for Conducting Literature Reviews and Literature Searches , 2014, Commun. Assoc. Inf. Syst..

[22]  Esko Penttinen,et al.  Turning robotic process automation into commercial success – Case OpusCapita , 2016 .

[23]  Michael A. Osborne,et al.  The future of employment: How susceptible are jobs to computerisation? , 2017 .

[24]  Leslie P. Willcocks,et al.  Service automation robots and the future of work , 2016 .

[25]  Mary Lacity,et al.  Understanding Qualitative Data: A Framework of Text Analysis Methods , 1994, J. Manag. Inf. Syst..

[26]  Abderrahmane Leshob,et al.  Towards a Process Analysis Approach to Adopt Robotic Process Automation , 2018, 2018 IEEE 15th International Conference on e-Business Engineering (ICEBE).

[27]  Antonio Cordella,et al.  A public value perspective for ICT enabled public sector reforms: A theoretical reflection , 2012, Gov. Inf. Q..

[28]  Bruce E. Moon,et al.  Paradigms in migration research: exploring 'moorings' as a schema , 1995, Progress in human geography.

[29]  Jan Weglarz,et al.  Interpreting Information Systems in Organizations , 1993 .

[30]  Christian Bason,et al.  Leading Public Sector Innovation: Co-creating for a Better Society , 2010 .

[31]  Jishim Jung,et al.  Travelers' switching behavior in the airline industry from the perspective of the push-pull-mooring framework , 2017 .

[32]  Aries Susanty,et al.  Push-pull-mooring framework for e-commerce adoption in small and medium enterprises , 2020, J. Enterp. Inf. Manag..

[33]  John C. Cutler,et al.  PRINCIPLES OF DEMOGRAPHY , 1969 .

[34]  Deborah E. White,et al.  Thematic Analysis , 2017 .

[35]  E. Rogers,et al.  Diffusion of innovations , 1964, Encyclopedia of Sport Management.

[36]  Marta Choroszewicz,et al.  Developing a Digital Welfare State: Data Protection and the Use of Automated Decision-Making in the Public Sector across Six EU Countries , 2020 .

[37]  H. Bansal,et al.  “Migrating” to new service providers: Toward a unifying framework of consumers’ switching behaviors , 2005 .