Explorative learning strategy and its impact on creativity and innovation: An empirical investigation among ICT-SMEs

Purpose The purpose of this paper is to examine the structural relationships among explorative learning strategy, improvisational creativity, compositional creativity, and innovation in information and communication technology small- and medium-sized enterprises (ICT-SMEs). Design/methodology/approach In total, 213 valid questionnaires from SMEs’ top management positions were evaluated to investigate the proposed model of the research empirically. As a methodological approach, partial least square (PLS) path modeling approach, a variance-based structural equation modeling was employed. Findings The statistical results imply that explorative learning has a positive impact on improvisational creativity and innovation while improvisational creativity has a positive influence on compositional creativity and innovation as well. Compositional creativity and innovation are also positively associated. Surprisingly, improvisational creativity mediates the relationship between explorative learning and innovation. Furthermore, PLS-multi group analysis reveals that heterogeneity exists in the collected data and number of employees is a moderating variable. The results of the research indicate that companies with number of employees between 51 and 100 are more creative and innovative in comparison with other groups. On the other hand, the positive relationship between explorative learning and compositional creativity was not supported in this research. Originality/value This study is one of the few research works in the realm of examining the structural relationship among explorative learning strategy, improvisational creativity, compositional creativity, and innovation in ICT-SMEs, regarding the number of employees as a moderating variable.

[1]  Shahid Yusuf,et al.  From Creativity to Innovation , 2007 .

[2]  Kristopher J Preacher,et al.  Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models , 2008, Behavior research methods.

[3]  Leopoldo J. Gutierrez Gutierrez,et al.  The Relationship between Exploration and Exploitation Strategies, Manufacturing Flexibility, and Organizational Learning: An Empirical Comparison between Non-ISO and ISO Certified Firms , 2014, Eur. J. Oper. Res..

[4]  Jörg Henseler,et al.  Consistent and asymptotically normal PLS estimators for linear structural equations , 2014 .

[5]  K. Weick Making Sense of the Organization , 2000 .

[6]  Chao-Hung Wang,et al.  Building exploration and exploitation in the high-tech industry: The role of relationship learning. , 2014 .

[7]  James C. Anderson,et al.  Some Methods for Respecifying Measurement Models to Obtain Unidimensional Construct Measurement , 1982 .

[8]  Rex B. Kline,et al.  Principles and Practice of Structural Equation Modeling , 1998 .

[9]  Mas Bambang Baroto,et al.  Modelling continuance intention of citizens in government Facebook page: A complementary PLS approach , 2017, Comput. Hum. Behav..

[10]  Frans. Johansson,et al.  The Medici Effect: Breakthrough Insights at the Intersection of Ideas, Concepts, and Cultures , 2004 .

[11]  K. W. Phillips,et al.  Demographic Faultlines and Creativity in Diverse Groups , 2016 .

[12]  Richard W. Scamell,et al.  The effect of information sources and communication channels on the diffusion of innovation in a data base development environment , 1990 .

[13]  Dusya Vera,et al.  Improvisation and Innovative Performance in Teams , 2005, Organ. Sci..

[14]  Sajad Rezaei,et al.  Does Web 2.0 utilisation lead to knowledge quality, improvisational creativity, compositional creativity, and innovation in small and medium-sized enterprises? A sense-making perspective , 2017, Technol. Anal. Strateg. Manag..

[15]  Naser Valaei,et al.  Organizational structure, sense making activities and SMEs’ competitiveness , 2017 .

[16]  J. Barney Is the Resource-Based “View” a Useful Perspective for Strategic Management Research? Yes , 2001 .

[17]  Mikko Moilanen,et al.  Creativity and implementations of new ideas , 2013 .

[18]  C. Ford A Theory of Individual Creative Action in Multiple Social Domains , 1996 .

[19]  K. Atuahene–Gima,et al.  Exploratory and Exploitative Learning in New Product Development: A Social Capital Perspective on New Technology Ventures in China , 2007 .

[20]  Stephen Ko,et al.  Creativity: A key link to entrepreneurial behavior , 2007 .

[21]  Ying Liao,et al.  Knowledge acquisition and product innovation flexibility in SMEs , 2015, Bus. Process. Manag. J..

[22]  Richard L. Priem,et al.  Is the Resource-Based “View” a Useful Perspective for Strategic Management Research? , 2001 .

[23]  Kun Chang Lee,et al.  Network structure, organizational learning culture, and employee creativity in system integration companies: The mediating effects of exploitation and exploration , 2015, Comput. Hum. Behav..

[24]  Robert J. Sternberg,et al.  Successful intelligence as a basis for entrepreneurship , 2004 .

[25]  Susan Meyers Chandler,et al.  Exploration, Exploitation, and Public Sector Innovation: An Organizational Learning Perspective for the Public Sector , 2015 .

[26]  Stephen A. Leybourne,et al.  Learning to Improvise, or Improvising to Learn: Knowledge Generation and ‘Innovative Practice’ in Project Environments , 2015 .

[27]  J. George,et al.  When openness to experience and conscientiousness are related to creative behavior: an interactional approach. , 2001, The Journal of applied psychology.

[28]  Petru Lucian Curşeu,et al.  The role of diversity of life experiences in fostering collaborative creativity in demographically diverse student groups , 2013 .

[29]  Manuel Sánchez-Pérez,et al.  Exploitation- and exploration-based innovations: The role of knowledge in inter-firm relationships with distributors , 2011 .

[30]  Vijay Gupta,et al.  Flexible strategic framework for managing innovation from perspective of continuity and change: A study of SMEs in India , 2014, Bus. Process. Manag. J..

[31]  Marko Sarstedt,et al.  An assessment of the use of partial least squares structural equation modeling in marketing research , 2012 .

[32]  Yoshio Takahashi,et al.  Self‐efficacy as a mediator of the relationships between learning and ethical behavior from human resource development in corporate social responsibility activity , 2012 .

[33]  G. Wallas The art of thought , 1926 .

[34]  Sajad Rezaei,et al.  Segmenting consumer decision-making styles (CDMS) toward marketing practice: A partial least squares (PLS) path modeling approach , 2015 .

[35]  Julian Birkinshaw,et al.  Organizational Ambidexterity: Balancing Exploitation and Exploration for Sustained Performance , 2009, Organ. Sci..

[36]  Kun Chang Lee,et al.  Dynamic resource allocation for exploitation and exploration with ambidexterity: Logical mechanism and simulations , 2015, Comput. Hum. Behav..

[37]  P. Curșeu Team Creativity in Web Site Design: An Empirical Test of a Systemic Model , 2010 .

[38]  Rudolf R. Sinkovics,et al.  The Use of Partial Least Squares Path Modeling in International Marketing , 2009 .

[39]  Scott B. MacKenzie,et al.  Common method biases in behavioral research: a critical review of the literature and recommended remedies. , 2003, The Journal of applied psychology.

[40]  Lida P. Kyrgidou,et al.  The effect of competence exploration and competence exploitation on strategic entrepreneurship , 2011, Technol. Anal. Strateg. Manag..

[41]  M. Cunha,et al.  Organizational improvisation: what, when, how, and why , 1999 .

[42]  Anna-Maija Nisula The relationship between supervisor support and individual improvisation , 2015 .

[43]  Li Jiang,et al.  Trust and Electronic Government Success: An Empirical Study , 2008, J. Manag. Inf. Syst..

[44]  T. B. Ward Cognition, Creativity, and Entrepreneurship , 2004 .

[45]  Teresa M. Amabile,et al.  Creativity, Improvisation, and Organizations , 2008 .

[46]  Bih-Shiaw Jaw,et al.  Promoting organizational learning and self‐renewal in Taiwanese companies: The role of HRM , 2003 .

[47]  S. Morris,et al.  Relational Archetypes, Organizational Learning, and Value Creation: Extending the Human Resource Architecture , 2007 .

[48]  Stefanie Bröring,et al.  Organising new business development: open innovation at Degussa , 2008 .

[49]  Marko Sarstedt,et al.  PLS-SEM: Indeed a Silver Bullet , 2011 .

[50]  S. Zahra,et al.  Absorptive Capacity: A Review, Reconceptualization, and Extension , 2002 .

[51]  L. Song,et al.  Exploration, exploitation and human resource management practices in cooperative and entrepreneurial HR configurations , 2013 .

[52]  Wim Vanhaverbeke,et al.  Explorative and exploitative learning strategies in technology-based alliance networks , 2004 .

[53]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[54]  Geoffrey S. Hubona,et al.  Using PLS path modeling in new technology research: updated guidelines , 2016, Ind. Manag. Data Syst..

[55]  P. Bentler,et al.  Fit indices in covariance structure modeling : Sensitivity to underparameterized model misspecification , 1998 .

[56]  Karl E. Weick,et al.  The Vancouver Academy of Management Jass Symposium : Jazz As a Metaphor for Organizing In the 21st Century , 1998 .

[57]  Teresa M. Amabile,et al.  Motivating Creativity in Organizations: On Doing What You Love and Loving What You Do , 1997 .

[58]  Anne S. Miner,et al.  Organizational Improvisation and Learning: A Field Study , 2001 .

[59]  Stephen Ko,et al.  Prior knowledge, bisociative mode of thinking and entrepreneurial opportunity identification , 2006 .

[60]  Marko Sarstedt,et al.  Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research , 2014 .

[61]  Siegfried P. Gudergan,et al.  Confirmatory Tetrad Analysis in PLS Path Modeling , 2008 .

[62]  Christina E. Shalley,et al.  Creativity in Virtual Work , 2011 .

[63]  Fabrizio Gerli,et al.  The individual side of ambidexterity: Do individuals' perceptions match actual behaviors in reconciling the exploration and exploitation trade-off? , 2014 .

[64]  Detmar W. Straub,et al.  Validating Instruments in MIS Research , 1989, MIS Q..

[65]  Keith Sawyer,et al.  Improvisational creativity: An analysis of jazz performance , 1992 .

[66]  Robert E. Morgan,et al.  Alliance-Based New Product Development Success: The Role of Formalization in Exploration and Exploitation Contexts , 2009 .

[67]  Lucy Gilson,et al.  Radical and Incremental Creativity: Antecedents and Processes , 2011 .

[68]  Timothy W. Ruefli,et al.  Schumpeter's ghost: Is hypercompetition making the best of times shorter? , 2005 .

[69]  Daniel A. Levinthal,et al.  Exploration and Exploitation in Organizational Learning , 2007 .

[70]  E. Bass Making Sense of Improvisation , 2010 .

[71]  Ricky W. Griffin,et al.  Toward a Theory of Organizational Creativity , 1993 .

[72]  Ludovico Alcorta,et al.  Human resource management for learning through knowledge exploitation and knowledge exploration: Pharmaceuticals in Mexico , 2012 .

[73]  Wynne W. Chin,et al.  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 , 2003, Inf. Syst. Res..

[74]  Andreas Kuckertz,et al.  Exploration and Exploitation Strategies, Profit Performance, and the Mediating Role of Strategic Learning: Escaping the Exploitation Trap , 2011 .

[75]  Rita Gunther McGrath Business Models: A Discovery Driven Approach , 2010 .

[76]  Lori Rosenkopf,et al.  Balancing Exploration and Exploitation in Alliance Formation , 2006 .

[77]  Janine Sanders Process Management, Innovation, and Efficiency Performance: The Moderating Effect of Competitive Intensity , 2014 .

[78]  Mary J. Benner,et al.  Exploitation, Exploration, and Process Management: The Productivity Dilemma Revisited , 2003 .

[79]  J. Spender Making knowledge the basis of a dynamic theory of the firm , 1996 .

[80]  Marko Sarstedt,et al.  Multigroup Analysis in Partial Least Squares (PLS) Path Modeling: Alternative Methods and Empirical Results , 2011 .

[81]  Albert H. Segars,et al.  Knowledge Management: An Organizational Capabilities Perspective , 2001, J. Manag. Inf. Syst..

[82]  C. Shalley,et al.  RESEARCH ON EMPLOYEE CREATIVITY: A CRITICAL REVIEW AND DIRECTIONS FOR FUTURE RESEARCH , 2003 .

[83]  Dusya Vera,et al.  Knowledge-Based and Contextual Factors Associated with R&D Teams’ Improvisation Capability , 2016 .

[84]  Sajad Rezaei,et al.  Impact of exploitative learning strategy on Malaysian SMEs' creativity and innovation capabilities , 2016 .

[85]  S. Clegg,et al.  Tales of the unexpected: Discussing improvisational learning , 2015 .

[86]  Morten Thanning Vendelø,et al.  Improvisation and Learning in Organizations— An Opportunity for Future Empirical Research , 2009 .

[87]  Henk W. Volberda,et al.  Exploratory Innovation, Exploitative Innovation and Peformance: Effects of Organizational Antecedents and Environmental Moderators , 2006, Manag. Sci..

[88]  Sajad Rezaei,et al.  Examining learning strategies, creativity, and innovation at SMEs using fuzzy set Qualitative Comparative Analysis and PLS path modeling , 2017 .

[89]  C. Chu,et al.  The nature of market orientation and the ambidexterity of innovations , 2008 .

[90]  Laura B. Cardinal Technological Innovation in the Pharmaceutical Industry: The Use of Organizational Control in Managing Research and Development , 2001 .

[91]  Anne S. Miner,et al.  Organizational Improvisation and Organizational Memory , 1998 .

[92]  Detmar W. Straub,et al.  Common Beliefs and Reality About PLS , 2014 .

[93]  C. Chu,et al.  The contingent value of exploratory and exploitative learning for new product development performance , 2010 .

[94]  Wynne W. Chin,et al.  Handbook of Partial Least Squares , 2010 .

[95]  M. Hoegl,et al.  The role of team behavioral integration and cohesion in shaping individual improvisation , 2009 .

[96]  M. Tushman,et al.  Exploration and Exploitation Within and Across Organizations , 2010 .

[97]  Jörg Henseler,et al.  On the convergence of the partial least squares path modeling algorithm , 2010, Comput. Stat..

[98]  M. Cunha,et al.  Towards a Theory of Organizational Improvisation: Looking Beyond the Jazz Metaphor , 2003 .

[99]  Varun Grover,et al.  The Initiation, Adoption, and Implementation of Telecommunications Technologies in U.S. Organizations , 1993, J. Manag. Inf. Syst..

[100]  M. Sarstedt A review of recent approaches for capturing heterogeneity in partial least squares path modelling , 2008 .

[101]  Massimo Magni,et al.  Sink or Swim: Empowering Leadership and Overload in Teams' Ability to Deal with the Unexpected , 2013 .

[102]  Heiko Gebauer,et al.  Absorptive capacity, learning processes and combinative capabilities as determinants of strategic innovation , 2012 .

[103]  Han-Chen Huang,et al.  Top management team social capital, exploration-based innovation, and exploitation-based innovation in SMEs , 2014, Technol. Anal. Strateg. Manag..

[104]  G. Graen,et al.  AN EXAMINATION OF LEADERSHIP AND EMPLOYEE CREATIVITY: THE RELEVANCE OF TRAITS AND RELATIONSHIPS , 1999 .

[105]  Kevin J. Dooley,et al.  Supplier innovativeness, organizational learning styles and manufacturer performance: An empirical assessment , 2010 .

[106]  Yu‐Shan Chen,et al.  The positive effects of relationship learning and absorptive capacity on innovation performance and competitive advantage in industrial markets , 2009 .

[107]  M. Lorenzen Creativity in context : Content, cost, chance and collection in the organization of the film industry , 2009 .

[108]  Theo K. Dijkstra,et al.  Handbook of partial least squares. Concepts, methods and applications in marketing and related fields , 2008 .

[109]  Ken G. Smith,et al.  The interplay between exploration and exploitation. , 2006 .