Palavras-chave
questionário
nível de prontidão
escala para pesquisa científica
Como Citar
Resumo
Este artigo visa introduzir uma maneira de construir um novo instrumento, especialmente uma ferramenta de avaliação da prontidão. Um caso exemplar é a avaliação da prontidão das empresas nacionais para se ligarem a empresas estrangeiras na cadeia de fornecimento global. O destaque deste artigo é o uso de fontes de dados disponíveis - opiniões de especialistas publicadas na grande imprensa para desenvolver critérios de medição. Os métodos para verificar a estabilidade e a precisão do instrumento são introduzidos em detalhes. Para estudos que coletam dados através de questionários, os resultados da pesquisa dependem muito da qualidade da escala. Este trabalho contribui com o conhecimento empírico dos pesquisadores no desenvolvimento de um novo instrumento com alta confiabilidade.
Referências
Ahmedova, S. (2015). Factors for Increasing the Competitiveness of Small and Medium- Sized Enterprises (SMEs) in Bulgaria. Procedia - Social and Behavioral Sciences, 195, 1104–1112. https://doi.org/10.1016/j.sbspro.2015.06.155
Ajzen, I. (2020). The theory of planned behavior: Frequently asked questions. Human Behavior and Emerging Technologies, 2(4). https://doi.org/10.1002/hbe2.195
Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behaviour. New Jersey: Prentice-Hall. Englewood Cliffs, 50.
Akdil, K. Y., Ustundag, A., & Cevikcan, E. (2018). Maturity and Readiness Model for Industry 4.0 Strategy. https://doi.org/10.1007/978-3-319-57870-5_4
Baker, W., & Sinkula, J. (1999). Learning Orientation, Market Orientation, and Innovation: Integrating and Extending Models of Organizational Performance. Journal of Market - Focused Management, 4(4). https://doi.org/10.1023/A:1009830402395
Bhattacharya, M., & Bloch, H. (2004). Determinants of innovation. Small Business Economics, 22(2). https://doi.org/10.1023/B:SBEJ.0000014453.94445.de
Bolarinwa, O. A. (2015). Principles and methods of validity and reliability testing of questionnaires used in social and health science researches. Nigerian Postgraduate Medical Journal, 22(4), 195. https://doi.org/10.4103/1117-1936.173959
Boomsma, A. (1985). Nonconvergence, improper solutions, and starting values in lisrel maximum likelihood estimation. Psychometrika, 50(2). https://doi.org/10.1007/BF02294248
Cooper, R. G. (1990). New Products: What Distinguishes the Winners? Research-Technology Management, 33(6). https://doi.org/10.1080/08956308.1990.11670699
Cortina, J. M. (1993). What Is Coefficient Alpha? An Examination of Theory and Applications. Journal of Applied Psychology, 78(1). https://doi.org/10.1037/0021-9010.78.1.98
Costello, A. B., & Osborne, J. W. (2005). Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Practical Assessment, Research and Evaluation, 10(7). https://doi.org/10.7275/jyj1-4868
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3). https://doi.org/10.2307/249008
Deshpandé, R., & Farley, J. (1998). Measuring Market Orientation: Generalization and Synthesis. Journal of Market-Focused Management, 2(3). https://doi.org/10.1023/A:1009719615327
DeVellis, R. F. (2016). Scale Development Theory and Applications (Fourth Edition). SAGE Publication, 4.
Dunning, J. H., & Lundan, S. M. (2008). Institutions and the OLI paradigm of the multinational enterprise. Asia Pacific Journal of Management, 25(4). https://doi.org/10.1007/s10490-007-9074-z
Field, A. (2013). Discovering statistics using IBM SPSS statistics. In Statistics (Vol. 58).
Foss, N. J. (1993). Theories of the firm: contractual and competence perspectives. Journal of Evolutionary Economics, 3(2), 127–144. https://doi.org/10.1007/BF01213830
Freiling, J., & Verlag, R. H. (2004). A competence-based theory of the firm. Management Revue, 15(1), 27–52.
Gudgeon, A. C., Comrey, A. L., & Lee, H. B. (1994). A First Course in Factor Analysis. The Statistician, 43(2). https://doi.org/10.2307/2348352
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis. In Vectors. https://doi.org/10.1016/j.ijpharm.2011.02.019
Héder, M. (2017). From NASA to EU: The evolution of the TRL scale in Public Sector Innovation. Innovation Journal, 22(2).
Hoang Trong, & Chu Nguyen Mong Ngoc. (2008). Analyzing research data with SPSS, Part 1 and Part 2. Hong Duc.
Hoffman, K., Parejo, M., Bessant, J., & Perren, L. (1998). Small firms, R&D, technology and innovation in the UK: A literature review. Technovation, 18(1). https://doi.org/10.1016/S0166-4972(97)00102-8
Hulin, C., Netemeyer, R., & Cudeck, R. (2001). Can a Reliability Coefficient Be Too High? Journal of Consumer Psychology, 10(1).
Islami, X., Mulolli, E., & Skenderi, N. (2018). The Effect of Factors Industrial and Internal to the Firm’s Performance. Acta Universitatis Danubius. Œconomica, 14(5).
Kállay, B. (2012). Evolutionary and competence based theory. Journal of International Studies, 5(1), 38–45. http://www.geoffrey-hodgson.info/user/image/evcomp.pdf
Krejcie, R. V., & Morgan, D. W. (1970). Determining Sample Size for Research Activities. Educational and Psychological Measurement, 30(3), 607–610.
Lee, I. H., & Rugman, A. M. (2012). Firm-specific advantages, inward FDI origins, and performance of multinational enterprises. Journal of International Management, 18(2). https://doi.org/10.1016/j.intman.2011.11.001
Lichtblau, K., Stich, V., Bertenrath, R., Blum, M., Bleider, M., Millack, A., Schmitt, K., Schmitz, E., & Schröter, M. (2014). Impuls - Industrie 4.0 Readiness. Impuls-Stiftung Des VDMA.
Lord, F. M. (2012). Applications of item response theory to practical testing problems. In Applications of Item Response Theory To Practical Testing Problems. https://doi.org/10.4324/9780203056615
Morgado, F. F. R., Meireles, J. F. F., Neves, C. M., Amaral, A. C. S., & Ferreira, M. E. C. (2017). Scale development: Ten main limitations and recommendations to improve future research practices. Psicologia: Reflexao e Critica, 30(1), 1–20. https://doi.org/10.1186/s41155-016-0057-1
Novit, M. S., Hersey, P., & Blanchard, K. H. (1971). Management of Organizational Behavior: Utilizing Human Resources. Industrial and Labor Relations Review, 24(3). https://doi.org/10.2307/2521543
Nunnally, J., & Bernstein, I. (1994). Psychometric Theory, 3rd edn, 1994. McGraw-Hill, New York, 3.
Nunnally, J. C. (1967). Psychometric Theory. McGraw-Hill.
Pandit, N. R. (1996). The Creation of Theory: A Recent Application of the Grounded Theory Method. The Qualitative Report, 2(4), 1–15. https://doi.org/10.46743/2160-3715/1996.2054
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A Conceptual Model of Service Quality and Its Implications for Future Research. Journal of Marketing, 49(4). https://doi.org/10.1177/002224298504900403
Peterson, R. A. (1994). A Meta-Analysis of Cronbach’s Coefficient Alpha. Journal of Consumer Research, 21(2). https://doi.org/10.1086/209405
Polit, D. F., Beck, C. T., & Owen, S. V. (2007). Focus on research methods: Is the CVI an acceptable indicator of content validity? Appraisal and recommendations. Research in Nursing and Health, 30(4). https://doi.org/10.1002/nur.20199
Porter, M. (1985). Competitive Advantage: Creating and sustaining superior performance. The Free.
Rasch, G. (1960). Studies in mathematical psychology: I. Probabilistic models for some intelligence and attainment tests. In Studies in mathematical psychology: I. Probabilistic models for some intelligence and attainment tests.
Song, J., Almeida, P., & Wu, G. (2003). Learning-by-hiring: When is mobility more likely to facilitate interfirm knowledge transfer? Management Science, 49(4). https://doi.org/10.1287/mnsc.49.4.351.14429
Tabachnick, B. G., & Fidell, L. S. (2012). Using multivariate statistics (6th ed.). In New York: Harper and Row.
Tô Hà. (2020, October 26). Doanh nghiệp nhỏ tham gia chuỗi cung ứng toàn cầu. Nhandan. https://nhandan.vn/chuyen-lam-an/doanh-nghiep-nho-tham-gia-chuoi-cung-ung-toan-cau-621892/
UCLA: Statistical Consulting Group. (2018). PRINCIPAL COMPONENTS ( PCA ) AND EXPLORATORY FACTOR ANALYSIS ( EFA ) WITH SPSS Overview. UCLA Institute for Digital Research & Education Statistical Consulting, 1–43. https://stats.idre.ucla.edu/spss/seminars/efa-spss/
Webster, E. (2004). Firms’ decisions to innovate and innovation routines. Economics of Innovation and New Technology, 13(8). https://doi.org/10.1080/10438590410001686824
Wernerfelt, B. (1995). The resource‐based view of the firm: Ten years after. Strategic Management Journal, 16(3). https://doi.org/10.1002/smj.4250160303
Este trabalho está licenciado sob uma licença Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright (c) 2023 Lex Humana (ISSN 2175-0947)