Skip to main content
Log in

Systems Savvy: Practical Intelligence for Transformation of Sociotechnical Systems

  • Published:
Group Decision and Negotiation Aims and scope Submit manuscript

Abstract

Systems savvy, a new construct derived from foundations of practical intelligence, is the capacity to see the interdependence of technological and social/organizational systems and to construct synergies between them. Understanding systems savvy is valuable for managing the changes that go along with rapidly evolving technical and social/organizational systems that are part of the group decision and negotiation landscape. We first define the construct of systems savvy and position it in recent research on practical intelligence and tacit knowledge. We differentiate it from several other individual characteristics often used in research and practice. We use a critical incident technique with 13 subject matter experts to create a situational judgment test measure of systems savvy that can be used for research or assessments to support training. Preliminary validation of the measure uses a sample of 39 successful professionals and 182 novices. Systems savvy represents a contribution to research streams focused on understanding technology with implications at the team and organizational levels of analysis. We conclude with a discussion of the limitations of the current research and offer possible next steps toward using the systems savvy construct for understanding and supporting the future of work, especially within teams.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Ackermann F (1996) Participants’ perceptions on the role of facilitators using group decision support systems. Group Decis Negot 5(1):93–112

    Article  Google Scholar 

  • Ackermann F, Yearworth M, White L (2018) Micro-processes in group decision and negotiation: practices and routines for supporting decision making. Group Decis Negot 27(5):709–713

    Article  Google Scholar 

  • Agarwal R, Prasad J (1998) A conceptual and operational definition of personal innovativeness in the domain of information technology. Inf Syst Res 9:204–215

    Article  Google Scholar 

  • Bacon F (1597/2005) Meditations sacrae and human philosophy. Kessinger Publishing, Whitefish, MT

  • Baczyńska A, Thornton GC (2017) Relationships of analytical, practical, and emotional intelligence with behavioral dimensions of performance of top managers. Int J Sel Assess 25(2):171–182. https://doi.org/10.1111/ijsa.12170

    Article  Google Scholar 

  • Bassellier G, Benbasat I (2004) Business competence of information technology professionals: conceptual development and influence on IT-business partnerships. MIS Q 28:673–694

    Article  Google Scholar 

  • Baum JR, Bird BJ (2010) The successful intelligence of high-growth entrepreneurs: links to new venture growth. Organ Sci 21(2):397–412. https://doi.org/10.1287/orsc.1090.0445

    Article  Google Scholar 

  • Baum JR, Bird BJ, Singh S (2011) The practical intelligence of entrepreneurs: antecedents and a link with new venture growth. Pers Psychol 64(2):397–425. https://doi.org/10.1111/j.1744-6570.2011.01214.x

    Article  Google Scholar 

  • Beise CM, Niederman F, Beranek MM (1992) Facilitating technology-supported group work: a new category of IS personnel. ACM SIGCPR Comput Pers 14(1–2):6–14

    Article  Google Scholar 

  • Benbasat I, Taylor RN (1978) The impact of cognitive styles on information system design. MIS Q 2(2):43–54. https://doi.org/10.2307/248940

    Article  Google Scholar 

  • Bhattacharyya S, Soumyaja D (2010) Development of a situational judgement inventory for measuring practical intelligence of employees in the context of transformational organizational change. Development 2(3):8–28

    Google Scholar 

  • Brooks F (1987) No silver bullet—essence and accident in software engineering. IEEE Comput 20:10–19

    Article  Google Scholar 

  • Cecez-Kecmanovic D, Galliers RD, Henfridsson O, Newell S, Vidgen R (2014) The sociomateriality of information systems: current status, future directions. MIS Q 38(3):809–830

    Article  Google Scholar 

  • Chan D, Schmitt N (2002) Situational judgment and job performance. Hum Perform 15(3):233–254

    Article  Google Scholar 

  • Cianciolo AT, Matthew C, Sternberg RJ, Wagner RK (2006) Tacit knowledge, practical intelligence, and expertise. In: Anders Ericsson K, Charness N, Feltovich PJ, Hoffman RR (eds) The Cambridge handbook of expertise and expert performance. Cambridge University Press, Cambridge, pp 613–632

    Chapter  Google Scholar 

  • Clevenger J, Pereira GM, Wiechmann D, Schmitt N, Harvey VS (2001) Incremental validity of situational judgment tests. J Appl Psychol 86(3):410–417

    Article  Google Scholar 

  • Collins JM, Schmidt FL (1993) Personality, integrity, and white collar crime: a construct validity study. Pers Psychol 46(2):295–311

    Article  Google Scholar 

  • Compeau DR, Higgins CA (1995) Computer self-efficacy: development of a measure and initial test. MIS Q 19(2):189–211

    Article  Google Scholar 

  • Dane E (2010) Reconsidering the trade-off between expertise and flexibility: a cognitive entrenchment perspective. Acad Manag Rev 35(4):579–603

    Google Scholar 

  • DeSanctis G, Poole MS (1994) Capturing the complexity in advanced technology use: adaptive structuration theory. Organ Sci 5(2):121–147

    Article  Google Scholar 

  • Dokko G, Wilk SL, Rothbard NP (2009) Unpacking prior experience: how career history affects job performance. Organ Sci 20(1):51–68

    Article  Google Scholar 

  • Goldstein J, Hazy J, Lichtenstein B (2010) Complexity and the nexus of leadership: leveraging nonlinear science to create ecologies of innovation. Palgrave, New York

    Book  Google Scholar 

  • Griffith TL (2012) Teams and technology—the next ten years. In: Mannix EA, Neale MA (eds) Research in managing groups and teams, vol 15. Emerald Group Publishing Limited, Bingley, pp 245–278

    Google Scholar 

  • Griffith TL, Sawyer JE (2006) Supporting technologies and organizational practices for the transfer of knowledge in virtual environments. Group Decis Negot 15(4):407–423

    Article  Google Scholar 

  • Griffith TL, Sawyer JE (2009) Multilevel knowledge and team performance in a Fortune 100 technology company. J Organ Behav 31(7):1003–1031

    Google Scholar 

  • Griffith TL, Tansik DA, Benson L, III (2002) Negotiating technology implementation: an empirical investigation of a website introduction. Group Decis Negot 11:1–22

    Article  Google Scholar 

  • Herrington J, Reeves TC, Oliver R (2007) Immersive learning technologies: realism and online authentic learning. J Comput High Educ 19(1):65–84

    Article  Google Scholar 

  • Hirschman EC (1980) Innovativeness, novelty seeking, and consumer creativity. J Consum Res 7(3):283–295. https://doi.org/10.1086/208816

    Article  Google Scholar 

  • Honan M (2013) I, glasshole: my year with Google Glass. https://www.wired.com/2013/12/glasshole/. Accessed 16 Aug 2017

  • Jackson DL, Gillaspy JA, Purc-Stephenson R (2009) Reporting practices in confirmatory factor analysis: an overview and some recommendations. Psychol Methods 14(1):6–23. https://doi.org/10.1037/a0014694

    Article  Google Scholar 

  • Joseph D, Ang S, Chang RHL, Slaughter SA (2010) Practical intelligence in IT: assessing soft skills of IT professionals. Commun ACM 53(2):149–154. https://doi.org/10.1145/1646353.1646391

    Article  Google Scholar 

  • Kahneman D (1992) Reference points, anchors, norms and mixed feelings. Organ Behav Hum Decis Process 51(2):296–312

    Article  Google Scholar 

  • Khazanchi S, Sprinkle TA, Masterson SS, Tong N (2018) A spatial model of work relationships: the relationship-building and relationship-straining effects of workspace design. Acad Manag Rev 43(4):590–609

    Article  Google Scholar 

  • Kolfschoten GL, Reinig BA (2013) Introduction to the special issue: “cognitive perspectives on group decision and negotiation”. Group Decis Negot 22(5):867–872

    Article  Google Scholar 

  • Langer EJ (1997) The power of mindful learning. Da Capo Press, Boston

    Google Scholar 

  • Langer N, Slaughter SA, Mukhopadhyay T (2014) Project managers’ practical intelligence and project performance in software offshore outsourcing: a field study. Inf Syst Res 25(2):364–384. https://doi.org/10.1287/isre.2014.0523

    Article  Google Scholar 

  • Leonardi PM (2011) When flexible routines meet flexible technologies: affordance, constraint, and the imbrication of human and material agencies. MIS Q 35(1):147–168

    Article  Google Scholar 

  • Leonardi PM (2012) Materiality, sociomateriality, and socio-technical systems: What do these terms mean? How are they different? Do we need them? In: Leonardi PM, Nardi BA, Kallinikos J (eds) Materiality and organizing: social interaction in a technological world. Oxford University Press, Oxford

    Chapter  Google Scholar 

  • Lievens F, Peeters H, Schollaert E (2008) Situational judgment tests: a review of recent research. Pers Rev 37(4):426–441. https://doi.org/10.1108/00483480810877598

    Article  Google Scholar 

  • Lim S, Lee KB (2017) Use of a cognitive computing system for treatment of cervical cancer. J Gynecol Oncol 28(5):e67. https://doi.org/10.3802/jgo.2017.28.e67

    Article  Google Scholar 

  • Macdonald EK, Uncles MD (2007) Consumer savvy: conceptualisation and measurement. J Mark Manag 23(5–6):497–517

    Article  Google Scholar 

  • Majchrzak A, Rice RE, Malhotra A, King N, Ba S (2000) Technology adaptation: the case of a computer-supported inter-organizational virtual team. MIS Q 24:569–600

    Article  Google Scholar 

  • Merriam-Webster (2018) Merriam-Webster Unabridged Dictionary

  • Moskaliuk J, Bokhorst F, Cress U (2016) Learning from others’ experiences: how patterns foster interpersonal transfer of knowledge-in-use. Comput Hum Behav 55(Part A):69–75. https://doi.org/10.1016/j.chb.2015.08.051

    Article  Google Scholar 

  • Mussel P (2013) Introducing the construct curiosity for predicting job performance. J Organ Behav 34(4):453–472. https://doi.org/10.1002/job.1809

    Article  Google Scholar 

  • Nelson RR (2007) IT project management: infamous failures, classic mistakes, and best practices. MIS Q Exec 6(2):67–78

    Google Scholar 

  • Orlikowski WJ, Scott SV (2008) Sociomateriality: challenging the separation of technology, work and organization. In: Walsh JP, Brief AP (eds) The academy of management annals. Routledge, London, pp 433–474

    Google Scholar 

  • Peeters H, Lievens F (2005) Situational judgment tests and their predictiveness of college students’ success: the influence of faking. Educ Psychol Meas 65(1):70–89. https://doi.org/10.1177/0013164404268672

    Article  Google Scholar 

  • Prasarnphanich P, Janz BD, Patel J (2016) Towards a better understanding of system analysts’ tacit knowledge: a mixed method approach. Inf Technol People 29(1):69–98

    Article  Google Scholar 

  • Ratzmann M, Pesch R, Bouncken R, Climent CM (2018) The price of team spirit for sensemaking through task discourse in innovation teams. Group Decis Negot 27(3):321–341

    Article  Google Scholar 

  • Sarker S, Valacich JS (2010) An alternative to methodological individualism: a non-reductionist approach to studying technology adoption by groups. MIS Q 34(4):779–808. https://doi.org/10.2307/25750705

    Article  Google Scholar 

  • Scherbaum CA, Goldstein HW, Yusko KP, Ryan R, Hanges PJ (2012) Intelligence 2.0: reestablishing a research program on g in I–O psychology. Ind Organ Psychol 5(2):128–148. https://doi.org/10.1111/j.1754-9434.2012.01419.x

    Article  Google Scholar 

  • Schmitz KW, Teng JTC, Webb KJ (2016) Capturing the complexity of malleable IT use: adaptive structuration theory for individuals. MIS Q 40(3):663–686

    Article  Google Scholar 

  • Senge P (1990) The fifth discipline: the art and practice of the learning organization. Double Day, New York

    Google Scholar 

  • Serrano CI, Karahanna E (2016) The compensatory interaction between user capabilities and technology capabilities in influencing task performance: an empirical assessment in telemedicine consultations. MIS Q 40(3):597–621

    Article  Google Scholar 

  • Sternberg RJ (1981) The evolution of theories of intelligence. Intelligence 5(3):209–230. https://doi.org/10.1016/S0160-2896(81)80009-8

    Article  Google Scholar 

  • Sternberg RJ (1985) Beyond IQ: a triarchic theory of human intelligence. Cambridge University Press, New York

    Google Scholar 

  • Sternberg RJ (1987) The triarchic theory of human intelligence: a framework for theunderstanding, investigation, testing, and training of intelligence. In: Richardson J, Eysenck M, Piper D (eds) Student learning: research in education and cognitive psychology. SRHE and The Open University Press, London, pp 357–374

    Google Scholar 

  • Sternberg RJ (1999) The theory of successful intelligence. Rev Gen Psychol 3(4):292–316

    Article  Google Scholar 

  • Sternberg RJ, Hedlund J (2002) Practical intelligence, g, and work psychology. Hum Perform 15(1/2):143–159

    Article  Google Scholar 

  • Sternberg RJ et al (2000) Practical intelligence in everyday life. Cambridge University Press, Cambridge

    Google Scholar 

  • Sternberg RJ, Kaufman JC, Grigorenko EL (2008) Applied intelligence. Cambridge University Press, Cambridge

    Book  Google Scholar 

  • Sun H, Fang Y, Zou H (2016) Choosing a fit technology: understanding mindfulness in technology adoption and continuance. J Assoc Inf Syst 17(6):377

    Google Scholar 

  • Taylor TZ, Psotka J, Legree P (2015) Relationships among applications of tacit knowledge and transformational/transactional leader styles: an exploratory comparison of the MLQ and TKML. Leadersh Organ Dev J 36(2):120–136. https://doi.org/10.1108/LODJ-01-2013-0008

    Article  Google Scholar 

  • Thatcher JB, Perrewe PL (2002) An empirical examination of individual traits as antecedents to computer anxiety and computer self-efficacy. MIS Q 26(4):381–396

    Article  Google Scholar 

  • Thomas D, Bostrom RP (2010) Vital signs for virtual teams: an empirically developed trigger model for technology adaptation interventions. MIS Q 34(1):115–142

    Article  Google Scholar 

  • Trist EL, Bamforth KW (1951) Some social and psychological consequences of the long-wall method of coal-getting. Hum Relat 4:3–38

    Article  Google Scholar 

  • Vaidya SD, Seetharaman P (2011) Explaining sophistication in collaborative technology use: a context—technology fit perspective. Group Decis Negot 20(2):185–213

    Article  Google Scholar 

  • Verhulst MJ, Rutkowski A-F (2018) Decision-making in the police work force: affordances explained in practice. Group Decis Negot 27(5):1–26

    Article  Google Scholar 

  • Way S, Yuan Y (2014) Transitioning from dynamic decision support to context-aware multi-party coordination: a case for emergency response. Group Decis Negot 23(4):649–672

    Article  Google Scholar 

  • Weekley JA, Ployhart RE (2006) An introduction of situational judgment tests: their nature and history. In: Weekley JA, Ployhart RE (eds) Situational judgment tests. Lawrence Erlbaum, Mahwah, pp 1–10

    Google Scholar 

  • Weekley JA, Ployhart RE, Holtz BC (2006) On the development of situational judgment tests: issues in item development, scaling, and scoring. In: Weekley JA, Ployhart RE (eds) Situational judgment tests: theory, measurement, and application. Lawrence Erlbaum Associates, Mahwah, pp 157–182

    Google Scholar 

  • Winter S, Berente N, Howison J, Butler B (2014) Beyond the organizational ‘container’: conceptualizing 21st century sociotechnical work. Inf Organ 24(4):250–269

    Article  Google Scholar 

  • Zammuto RF, Griffith TL, Majchrzak A, Dougherty DJ, Faraj S (2007) Information technology and the changing fabric of organization. Organ Sci 18(5):749–762

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Terri L. Griffith.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Appendices

Appendix 1: Example Systems Savvy Situational Judgment Test (Scenario)

[O Organization, T Technology, E Emergent]

Virtual Team Your group is taking on a complex, new innovation project, but you don’t have access to enough people locally (Western United States) to succeed. Your best partner location is in China. China has engineers who have the skill set you need, are excited about the technology you are working on, and represent an important new market for your finished product. Please rank order each action from 1 (most effective) for organizing the team and the work in this environment to 5 (least effective).

O:

Break the project down into tightly defined pieces for which clear start and finish metrics can be identified. Have small teams made up of either all United States or all China employees work on the tightly defined pieces and assemble at the end.

E:

Let the workflow and process emerge based on the experience and training of the engineers. Have meetings at important milestones where you assess the current methods and consider whether changes should be implemented.

T:

Require a “level playing field.” All team members will telecommute (work from home) and use the company’s sophisticated technology tools to share and communicate the work. Everyone is working from the same location—the Internet.

TO:

Create sub-teams with engineers from both the United States and China. Give these sub-teams tightly defined projects; then put them all together at the end. Use video conferencing and small group trips between the full-team meetings.

TOE:

Create one team consisting of all the engineers at both locations. Give responsibility for the whole project to the single team, but let sub-groups emerge. Give the team a budget that they can use to fund travel or communications tools.

Appendix 2: Sociotechnical Awareness Assessment

Response Scale Totally False, Largely False, Somewhat False, As Likely to be True as False, Somewhat True, Largely True, Absolutely True (Scored − 3 to + 3)

  1. 1.

    When I adopt a new technology, I always consider other changes in my workflow that might help.*

  2. 2.

    Other people come to me for advice on how to implement organizational changes that include a technology tool.**

  3. 3.

    I always consider the technology changes we will have to make if we adopt a particular organizational change.

  4. 4.

    I always look for changes to organizational processes that could be improved with a technology tool.

  5. 5.

    I always consider what organizational changes are necessary to get the benefits of a proposed technology tool.

  6. 6.

    I always look for adjustments to technology implementations that may not fit our organization.

  7. 7.

    When I adopt a change in my workflow, I always consider technology changes that might help in combination.*

  8. 8.

    Other people come to me for advice on how to integrate technology tools into our organizational setting.**

* Covaried item 1 and 7 error variances due to reflected wording

** Covaried item 2 and 8 error variances due to reflected wording

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Griffith, T.L., Sawyer, J.E. & Poole, M.S. Systems Savvy: Practical Intelligence for Transformation of Sociotechnical Systems. Group Decis Negot 28, 475–499 (2019). https://doi.org/10.1007/s10726-019-09619-4

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10726-019-09619-4

Keywords

Navigation