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As business analytics (BA) applications permeate across various industry sectors, the workforce needs to be trained and upskilled to meet the challenges of understanding and implementing analytics methodologies. To achieve payoffs from the resource investments in BA training, it is critical for enterprises to understand an individual’s learning behavior along with the process and outcome-centric satisfaction associated with a collaborative analytics training task. This study focuses on identifying the factors that influence the process of learning during BA training to entry-level BA users. Drawing on the theories of situated cognition, goal setting, and flow, we propose a model that explains how trainees in a group learn through a process that is influenced by the characteristics of BA training context through context authenticity, the traits of trainees through task motivation and preference towards teamwork. Using an experimental design built on data collection and a unique task of real visits to a historic cemetery, we found that context authenticity and task motivation have significant impact on focused immersion, which in turn significantly impacts process and outcome satisfaction for learning an analytics task. Results of this study extend and validate the theories of situated cognition, goal setting, and flow within the context of business analytics training. Based on these findings, we provide recommendations for practitioners for designing effective analytics tasks for better training outcomes.
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Abbasi, A., Sarker, S., & Chiang, R. H. (2016). Big data research in information systems: toward an inclusive research agenda. Journal of the Association for Information Systems, 17(2).
Agarwal, R., & Karahanna, E. (2000). Time flies when you're having fun: cognitive absorption and beliefs about information technology usage. MIS Quarterly, 665–694.
AMA. (2014). Company see need to build analytical skills in their organizations: a study of analytical skills in the workforce. Retrieved on May 10, 2017 from http://www.amanet.org/training/articles/Companies-See-Need-to-Build-Analytical-Skills-in-Their-Organizations.aspx.
Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practices: a review and recommended two-step approach. Psychological Bulletin, 103, 411–423. CrossRef
Aykol, B., Aksatan, M., & İpek, İ. (2017). Flow within theatrical consumption: the relevance of authenticity. Journal of Consumer Behaviour, 16(3), 254–264. CrossRef
Baker, D. S., Underwood III, J., & Thakur, R. (2017). Factors contributing to cognitive absorption and grounded learning effectiveness in a competitive business marketing simulation. Marketing Education Review, 27(3), 127–140. CrossRef
Barab, S. A., Squire, K. D., & Dueber, W. (2000). A co-evolutionary model for supporting the emergence of authenticity. Educational Technology Research and Development, 48(2), 37–62. CrossRef
Bechky, B. A. (2003). Sharing meaning across occupational communities: The transformation of understanding on a production floor. Organization Science, 14(3), 312–330. CrossRef
Bharati, P., & Chaudhury, A. (2018). Assimilation of big data innovation: investigating the roles of IT, social media, and relational capital. Information Systems Frontiers, 1–12.
Bransford, J. D., Brown, A. L., & Cocking, R. R. (Eds.). (2000). How people learn: Brain, mind, experience, and school (expanded ed.). Washington, D.C.: National Academy Press.
Brown, J. S., & Duguid, P. (2001). Knowledge and organization: a social-practice perspective. Organization Science, 12(2), 198–213. CrossRef
Brown, J. S., Collins, A., & Duguid, P. (1989). Situated cognition and the culture of learning. Educational Researcher, 18(1), 32–42. CrossRef
Campion, M. A., Medsker, G. J., & Higgs, A. C. (1993). Relations between work group characteristics and effectiveness: implications for designing effective work groups. Personnel Psychology, 46(4), 823–847. CrossRef
Chidambaram, L. (1996). Relational development in computer-supported groups. MIS Quarterly, 143–165.
Chin, W. (1998). Commentary: issues and opinion on structural equation modeling. MIS Quarterly, 22(1), Vii–Xvi.
Chin, W. W., Marcolin, B. L., & Newsted, P. R. (2003). A partial least squares latent variable modeling approach for measuring interaction effects: results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study. Information Systems Research, 14(2), 189–217. CrossRef
Cho, I., & Kim, Y. (2002). Critical factors for assimilation of object-oriented programming languages. Journal of Management Information Systems, 18(3), 125–156. CrossRef
Chung, W. (2015). Business analytics in context: Evaluating new curricular modules in an undergraduate statistics course. Paper presented at the Proceedings of The 2015 NSF Workshop on Curricular Development for Computing in Context.
Colquitt, J. A., LePine, J. A., & Noe, R. A. (2000). Toward an integrative theory of training motivation: a meta-analytic path analysis of 20 years of research. Journal of Applied Psychology, 85(5), 678. CrossRef
Cook, S. D., & Brown, J. S. (1999). Bridging epistemologies: the generative dance between organizational knowledge and organizational knowing. Organization Science, 10(4), 381–400. CrossRef
Covington, M. V. (2000). Goal theory, motivation, and school achievement: an integrative review. Annual Review of Psychology, 51(1), 171–200. CrossRef
Cronbach, L. J., & Thorndike, R. L. (1971). Educational measurement. Test validation, 443–507.
Csikszentmihalyi, M. (1990). Flow:The psychology of optimal experience. New York: Harper and Row.
Dartnall, T. (2005). Does the world leak into the mind? Active externalism,“internalism” and epistemology. Cognitive Science, 29(1), 135–143. CrossRef
DeSmet, A., McGurk, M., & Schwartz, E. (2010). Getting more from your training programs. The McKinsey Quarterly, 4, 101–107.
Dole, J. A., & Sinatra, G. M. (1998). Reconceptalizing change in the cognitive construction of knowledge. Educational Psychologist, 33(2–3), 109–128. CrossRef
Earley, P. C. (1985). Influence of information, choice and task complexity upon goal acceptance, performance, and personal goals. Journal of Applied Psychology, 70(3), 481. CrossRef
Elsbach, K. D., Barr, P. S., & Hargadon, A. B. (2005). Identifying situated cognition in organizations. Organization Science, 16(4), 422–433. CrossRef
Forfas (2014). Assessing the Demand for Big Data and Analytics Skills, 2013–2020. Retrieved from http://www.skillsireland.ie/media/07052014 Assessing_the_Demand_for_Big_Data_and_Analytics_Skills_Full-Publication.pdf.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 39–50.
Giamellaro, M. (2012). Deep immersion academic learning (DIAL): An analysis of science learning in context. University of Colorado at Denver.
Giamellaro, M. (2014). Primary contextualization of science learning through immersion in Content-Rich Settings. International Journal of Science Education, 36(17), 2848–2871. CrossRef
Goel, L., Johnson, N., Junglas, I., & Ives, B. (2010). Situated learning: conceptualization and measurement. Decision Sciences Journal of Innovative Education, 8(1), 215–240. CrossRef
Goel, L., Johnson, N. A., Junglas, I., & Ives, B. (2013a). How cues of what can be done in a virtual world influence learning: an affordance perspective. Information Management, 50(5), 197–206. CrossRef
Goel, L., Junglas, I., Ives, B., & Johnson, N. (2013b). Decision-making in-socio and in-situ: facilitation in virtual worlds. Decision Support Systems, 52(2), 342–352. CrossRef
Green, S. G., & Taber, T. D. (1980). The effects of three social decision schemes on decision group process. Organizational Behavior and Human Performance, 25(1), 97–106. CrossRef
Gulikers, J., Bastiaens, T., & Kirschner, P. (2006). Authentic assessment, student and teacher perceptions: the practical value of the five-dimensional framework. Journal of Vocational Education and Training, 58(3), 337–357. CrossRef
Gupta, B., Goul, M., & Dinter, B. (2015). Business intelligence and big data in higher education: status of a multi-year model curriculum development effort for business school undergraduates, MS graduates, and MBAs. Communications of the Association for Information Systems, 36, 23. CrossRef
Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40(3), 414–433. CrossRef
Hair, J. F., Sarstedt, M. J., Hopkins, L., & Kuppelwieser, V. J. (2014). Partial least squares structural equation modeling (PLS-SEM) An emerging tool in business research. European Business Review, 26(2), 106–121. CrossRef
Heffler, B. (2001). Individual learning style and the learning style inventory. Educational Studies, 27(3), 307–316. CrossRef
Huang, S. Y., Lee, C. H., Chiu, A. A., & Yen, D. C. (2015). How business process reengineering affects information technology investment and employee performance under different performance measurement. Information Systems Frontiers, 17(5), 1133–1144. CrossRef
Huang, S. C., McIntosh, S., Sobolevsky, S., & Hung, P. C. (2017). Big data analytics and business intelligence in industry. Information Systems Frontiers, 19(6), 1229–1232. CrossRef
Hulland, J. (1999). Use of partial least squares (PLS) in strategic management research: a review of four recent studies. Strategic Management Journal, 195–204.
IDC. (2017). Big data and business analytics revenues forecast to reach $150.8 billion this year, lead by banking and manufacturing investment, according to IDC. Retrieved on April 24, 2018 from https://www.idc.com/getdoc.jsp?containerId=prUS42371417.
Jena, R. K. (2016). Measuring business management students’ perceptions towards the business analytics courses. International Journal of Economic Research, 13(8), 3711–3718.
Kampling, H. (2018). The role of immersive virtual reality in individual learning. In Proceedings of the 51st Hawaii International Conference on System Sciences (HICSS 2018). Hawaii, USA.
Kilcourse, B., Rosenblum, P. (2014). Retail analytics moves to the frontline. Retrieved on April 20, 2018 from https://www.rsrresearch.com/wp-content/uploads/2014/01/2014_BI_Report_RSR.pdf.
Kirkman, B. L., & Shapiro, D. L. (2001). The impact of cultural values on job satisfaction and organizational commitment in self-managing work teams: the mediating role of employee resistance. Academy of Management Journal, 44(3), 557–569.
Kirschner, P. A. (2001). Using integrated electronic environments for collaborative teaching/learning. Learning and Instruction, 10, 1–9. CrossRef
Kulturel-Konak, S., D'Allegro, M. L., & Dickinson, S. (2011). Review of gender differences in learning styles: suggestions for STEM education. Contemporary Issues in Education Research, 4(3), 9. CrossRef
Lant, T. K. (2002). Organizational cognition and interpretation. In J. Baum (Ed.), Companion to organizations (pp. 344–362). Oxford, UK: Blackwell Publishers Ltd..
Lave, J., & Wenger, E. (1991). Situated learning: Legitimate peripheral participation. Cambridge University Press.
Lindell, M. K., & Whitney, D. J. (2001). Accounting for common method variance in cross-sectional research designs. Journal of Applied Psychology, 86(1), 114. CrossRef
Liu, L., Feng, Y., Hu, Q., & Huang, X. (2011). From transactional user to VIP: how organizational and cognitive factors affect ERP assimilation at individual level. European Journal of Information Systems, 20(2), 186–200. CrossRef
Locke, E. (2000). Motivation, cognition, and action: an analysis of studies of task goals and knowledge. Applied Psychology, 49(3), 408–429. CrossRef
Locke, E. A., & Latham, G. P. (1990). A theory of goal setting and task performance. Prentice Hall: Englewook Cliffs, NJ.
Locke, E. A., & Latham, G. P. (2002). Building a practically useful theory of goal setting and task motivation: a 35-year odyssey. American Psychologist, 57(9), 705. CrossRef
Malhotra, N. K., Kim, S. S., & Patil, A. (2006). Common method variance in IS research: a comparison of alternative approaches and a reanalysis of past research. Management Science, 52(12), 1865–1883. CrossRef
Martens, S., & Wyble, B. (2010). The attentional blink: past, present, and future of a blind spot in perceptual awareness. Neuroscience & Biobehavioral Reviews, 34(6), 947–957. CrossRef
Maynard, D. C., & Hakel, M. D. (1997). Effects of objective and subjective task complexity on performance. Human Performance, 10(4), 303–330. CrossRef
Murray, S. (2016). Why business analytics is a must for MBAs, as Mckinsey, Bain demand big data skills. Retrieved on May 10, 2017 from http://www.businessbecause.com/news/mba-careers/3767/mckinsey-bain-demand-big-data-skills-from-mbas .
Mustafa, G., Glavee-Geo, R., & Rice, P. M. (2017). Teamwork orientation and personal learning: The role of individual cultural values and value congruence. SA Journal of Industrial Psychology, 43, 13-pages.
Nonaka, I., & Konno, N. (1998). The concept of “ba”: building a foundation for knowledge creation. California Management Review, 40(3), 40–54. CrossRef
Pallud, J. (2017). Impact of interactive technologies on stimulating learning experiences in a museum. Information & Management, 54(4), 465–478.
Peng, W., & Hsieh, G. (2012). The influence of competition, cooperation, and player relationship in a motor performance centered computer game. Computers in Human Behavior, 28(6), 2100–2106. CrossRef
Petti, B., & Williams, S. (2015). 5 Reasons why your company's analytics program is failing. Retrieved on April, 21, 2018 from http://news.gallup.com/opinion/gallup/181130/reasons-why-company-analytics-program-failing.aspx.
Popovič, A., Hackney, R., Tassabehji, R., & Castelli, M. (2016). The impact of big data analytics on firms’ high value business performance. Information Systems Frontiers, 1–14.
Reinartz, W., Haenlein, M., & Henseler, J. (2009). An empirical comparison of the efficacy of covariance-based and variance-based SEM. International Journal of Research in Marketing, 26(4), 332–344. CrossRef
Reinig, B. A. (2003). Toward an understanding of satisfaction with the process and outcomes of teamwork. Journal of Management Information Systems, 19(4), 65–83. CrossRef
Rothstein, M. G., Paunonen, S. V., Rush, J. C., & King, G. A. (1994). Personality and cognitive ability predictors of performance in graduate business school. Journal of Educational Psychology, 86(4), 516. CrossRef
Seel, N. M. (2001). Epistemology, situated cognition, and mental models: ‘Like a bridge over troubled water’. Instructional Science, 29(4), 403–427. CrossRef
Sharda, R., Romano Jr., N. C., Lucca, J. A., Weiser, M., Scheets, G., Chung, J.-M., & Sleezer, C. M. (2004). Foundation for the study of computer-supported collaborative learning requiring immersive presence. Journal of Management Information Systems, 20(4), 31–64. CrossRef
Shaw, J. D., Duffy, M. K., & Stark, E. M. (2000). Interdependence and preference for group work: Main and congruence effects on the satisfaction and performance of group members. Journal of Management, 26(2), 259–279. CrossRef
Strobel, J., Wang, J., Weber, N. R., & Dyehouse, M. (2013). The role of authenticity in design-based learning environments: the case of engineering education. Computers & Education, 64, 143–152. CrossRef
Suh, K. S. (1999). Impact of communication medium on task performance and satisfaction: an examination of media-richness theory. Information Management, 35(5), 295–312. CrossRef
Tekleab, A. G., & Quigley, N. R. (2014). Team deep-level diversity, relationship conflict, and team members’ affective reactions: a cross-level investigation. Journal of Business Research, 67(3), 394–402. CrossRef
Triandis, H. C., Bontempo, R., Villareal, M. J., Asai, M., & Lucca, N. (1988). Individualism and collectivism: cross-cultural perspectives on self-ingroup relationships. Journal of Personality and Social Psychology, 54(2), 323. CrossRef
Van Laer, S., & Elen, J. (2017). In search of attributes that support self-regulation in blended learning environments. Education and Information Technologies, 22(4), 1395–1454. CrossRef
Wagner, J. A. (1995). Studies of individualism-collectivism: effects on cooperation in groups. Academy of Management Journal, 38(1), 152–173.
Wang, Y. (2015). Business intelligence and analytics education: Hermeneutic literature review and future directions in is education. Paper presented at the Proceeding of Twenty-First Americas Conference on Information Systems (AMCIS), Puerto Rico.
Williams, E. A., & Castro, S. L. (2010). The effects of teamwork on individual learning and perceptions of team performance: a comparison of face-to-face and online project settings. Team Performance Management: An International Journal, 16(3/4), 124–147. CrossRef
Williams, E. A., Duray, R., & Reddy, V. (2008). Teamwork orientation, group cohesiveness, and student learning: a study of the use of teams in online distance education. Journal of Management Education, 30(4), 592–616. CrossRef
Wixom, B., Ariyachandra, T., Goul, M., Gray, P., Kulkarni, U., & Phillips-Wren, G. (2011). The current state of business intelligence in academia. Communications of the Association for Information Systems, 29(16), 299–312.
Wold, H. (1985). Partial least squares. In S. Kotz & N. L. Johnson (Eds.), Encyclopedia of statistical sciences (pp. 581–591). New York: Wiley.
Wood, R. E., & Locke, E. A. (1990). Goal-setting and strategy effects on complex tasks. Research in Organizational Behavior, 12, 73–109.
Workman, M., & Bommer, W. (2004). Redesigning computer call center work: a longitudinal field experiment. Journal of Organizational Behavior, 317–337.
- Understanding the Impact of Immersion and Authenticity on Satisfaction Behavior in Learning Analytics Tasks
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