References

Ahmad, A. M. B., Masri, R. B., & Lee, C. A. (2019). Future Challenges to the Entrepreneur in Relation to the Changing Business Environment. Global Business & Management Research, 11(2), 197-205. 

Arora, S., & Taylor, J. W. (2018). Rule-based autoregressive moving average models for forecasting load on special days: A case study for France. European Journal of Operational Research, 266(1), 259-268. 

Banihabib, M. E., Bandari, R., & Peralta, R. C. (2019). Auto-regressive neural-network models for long lead-time forecasting of daily flow. Water Resources Management, 33(1), 159-172. 

Beladi, H., & Mukherjee, A. (2017). Union bargaining power, subcontracting, and innovation. Journal of Economic Behavior & Organization, 137, 90-104. 

Bergh, D. D., Sharp, B. M., Aguinis, H., & Li, M. (2017). Is there a credibility crisis in strategic management research? Evidence on the reproducibility of study findings. Strategic Organization, 15(3), 423-436. 

Bindra, S., Parameswar, N., & Dhir, S. (2019). Strategic management: The evolution of the field. Strategic Change, 28(6), 469-478. 

Blakyta, G., Matusova, O., Lanovska, H., & Adamenko, V. (2017). Integral assessment of business environment security. Problems and Perspectives in Management, 15(4), 280-292. 

Boone, C., Lokshin, B., Guenter, H., & Belderbos, R. (2019). Top management team nationality diversity, corporate entrepreneurship, and innovation in multinational firms. Strategic management journal, 40(2), 277-302. 

Boratyńska, K., & Grzegorzewska, E. (2018). Bankruptcy prediction in the agribusiness sector: Lessons from quantitative and qualitative approaches. Journal of Business Research, 89, 175-181. 

Büyükşahin, Ü. Ç., & Ertekin, Ş. (2019). Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition. Neurocomputing, 361, 151-163. 

Chan, S. H., Chen, J., & Wang, K. (2019). Does A Firm's Entry or Exit Affect Competitors’ Value? Evidence from the REIT Industry. Real Estate Economics, 47(1), 214-262. 

Chase, C. W. (2017). Straight Talk About Analytics-Driven Forecasting. Journal of Business Forecasting, 36(3), 20-22. 

Chen, H., Zeng, S., Lin, H., & Ma, H. (2017). Munificence, dynamism, and complexity: How industry context drives corporate sustainability. Business Strategy and the Environment, 26(2), 125-141. 


Claveria, O., Monte, E., & Torra, S. (2019). Evolutionary computation for macroeconomic forecasting. Computational Economics, 53(2), 833-849. 

Cubadda, G., & Guardabascio, B. (2019). Representation, estimation, and forecasting of the multivariate index-augmented autoregressive model. International Journal of Forecasting, 35(1), 67-79. 

Darin, S. G., & Stellwagen, E. (2020). Forecasting the M4 competition weekly data: Forecast Pro’s winning approach. International Journal of Forecasting, 36(1), 135-141. 

Deliu, D. (2019). Empathetic leadership–Key element for inspiring strategic management and a visionary effective corporate governance. Journal of Emerging Trends in Marketing and Management, 1(1), 280-292. 

Demingo, M., & Helder, Z. (2020). Legal Aspects in a Business Eligibility Study. Journal Dimensie Management and Public Sector, 1(1), 7-10. 

Demir, R., Wennberg, K., & McKelvie, A. (2017). The strategic management of high-growth firms: A review and theoretical conceptualization. Long Range Planning, 50(4), 431-456. 

Downing, J. A. (2018). Dimensions of competitive advantage. The Journal of New Business Ideas & Trends, 16(2), 1-8. 


Durand, R., Grant, R. M., & Madsen, T. L. (2017). The expanding domain of strategic management research and the quest for integration. Strategic Management Journal, 38(1), 4-16. 

Fattah, J., Ezzine, L., Aman, Z., El Moussami, H., & Lachhab, A. (2018). Forecasting of demand using ARIMA model. International Journal of Engineering Business Management, 10, 1847979018808673. 

Gaganis, C., Pasiouras, F., & Voulgari, F. (2019). Culture, business environment, and SMEs' profitability: Evidence from European Countries. Economic Modelling, 78, 275-292. 

George, B., Walker, R. M., & Monster, J. (2019). Does strategic planning improve organizational performance? A meta‐analysis. Public Administration Review, 79(6), 810-819. 

Grotto, A. R., Hyland, P. K., Caputo, A. W., & Semedo, C. (2017). Employee turnover and strategies for retention. The Wiley Blackwell Handbook of the Psychology of Recruitment, Selection and Employee Retention, 445. 

Gubler, T., Larkin, I., & Pierce, L. (2018). Doing well by making well: The impact of corporate wellness programs on employee productivity. Management Science, 64(11), 4967-4987. 

Harshini, K. (2020). Big Mart Sales Forecast using Linear Regression. Solid State Technology, 63(3), 5140-5144. 

Haseeb, M., Hussain, H. I., Kot, S., Androniceanu, A., & Jermsittiparsert, K. (2019). Role of social and technological challenges in achieving a sustainable competitive advantage and sustainable business performance. Sustainability, 11(14), 3811. 

Hesamian, G., & Akbari, M. G. (2020). A robust varying coefficient approach to fuzzy multiple regression model. Journal of Computational and Applied Mathematics, 371, 112704. 

Hieu, V. M., & Nwachukwu, C. (2020). Human Resources, Financial Resources, and Strategic Performance: Organisational Policy as Moderator. Quality-Access to Success, 21(175), 18-24. 

Huber, F., & Feldkircher, M. (2019). Adaptive shrinkage in Bayesian vector autoregressive models. Journal of Business & Economic Statistics, 37(1), 27-39. 

Ilcus, A. M. (2018). Impact of digitalization in business world. Revista de Management Comparat Internațional, 19(4), 350-358. 

Ivanenko, T., Hrushko, V., & Frantsuz, A. (2018). Optimal investment decision-making on the model of production enterprise with limited resources. Investment Management and Financial Innovations, 15(4), 61-68. 

Jelenc, L. (2019). Review of Theories in Strategic Management field- toward the creation of  Schools of Strategic Management. The Business Review, 14(1), 240-247. 

Kumar, A., Shankar, R., & Aljohani, N. R. (2020). A big data-driven framework for demand-driven forecasting with effects of marketing-mix variables. Industrial Marketing Management, 90, 493-507. 

Kurniawaty, K., Ramly, M., & Ramlawati, R. (2019). The effect of work environment, stress, and job satisfaction on employee turnover intention. Management science letters, 9(6), 877-886. 

Lee, C. (2021). A review of data analytics in technological forecasting. Technological Forecasting and Social Change, 166, 120646. 

Lee, J. Y., Fox, J. A., & Nayga Jr, R. M. (2019). Effect of substitutes in contingent valuation for a private market good. Applied Economics Letters, 26(14), 1153-1156. 

Lee, S. (2018). Employee turnover and organizational performance in US federal agencies. The American Review of Public Administration, 48(6), 522-534. 

Lieberman, M. B., Lee, G. K., & Folta, T. B. (2017). Entry, exit, and the potential for resource redeployment. Strategic management journal, 38(3), 526-544. 

Liu, Y. Y., Tseng, F. M., & Tseng, Y. H. (2018). Big Data analytics for forecasting tourism destination arrivals with the applied Vector Autoregression model. Technological Forecasting and Social Change, 130, 123-134. 

Makadok, R., Burton, R., & Barney, J. (2018). A practical guide for making theory contributions in strategic management. New Theory in Strategic Management, 39(6), 1530-45. 

Makridakis, S., Spiliotis, E., and Assimakopoulos, V. (2018). Statistical and Machine Learning forecasting methods: Concerns and ways forward. PLOS One, 13(3), 

Meagher, K. J., Wong, A., & Zauner, K. G. (2020). A competitive analysis of fail-fast: Shakeout and uncertainty about consumer tastes. Journal of Economic Behavior & Organization, 177, 589-600. 

Mzid, I., Khachlouf, N., & Soparnot, R. (2019). How does family capital influence the resilience of family firms? Journal of International Entrepreneurship, 17(2), 249-277. 

Nakamura, K., Kaihatsu, S., & Yagi, T. (2019). Productivity improvement and economic growth: lessons from Japan. Economic Analysis and Policy, 62, 57-79. 

Nasiri, M., Rantala, T., Saunila, M., Ukko, J., & Rantanen, H. (2018). Transition towards sustainable solutions: Product, service, technology, and business model. Sustainability, 10(2), 358. 

Newell, R. G., Pizer, W. A., & Raimi, D. (2019). US federal government subsidies for clean energy: Design choices and implications. Energy Economics, 80, 831-841. 

Osharin, A., & Verbus, V. (2018). Heterogeneity of consumer preferences and trade patterns in a monopolistically competitive setting. Journal of Economics, 125(3), 211-237. 

Paddock, J. R. (2017). Changing consumption, changing tastes? Exploring consumer narratives for food secure, sustainable, and healthy diets. Journal of Rural Studies, 53, 102-110. 

Petropoulos, F., Kourentzes, N., Nikolopoulos, K., & Siemsen, E. (2018). Judgmental selection of forecasting models. Journal of Operations Management, 60, 34-46. 

Popovič, A., Hackney, R., Tassabehji, R., & Castelli, M. (2018). The impact of big data analytics on firms' high-value business performance. Information Systems Frontiers, 20(2), 209-222. 

Prakash, A., Jha, S. K., Prasad, K. D., & Singh, A. K. (2017). Productivity, quality and business performance: an empirical study. International Journal of Productivity and Performance Management, 66(1), 78-91. 

Rabinowicz, A., & Rosset, S. (2020). Assessing prediction error at interpolation and extrapolation points. Electronic Journal of Statistics, 14(1), 272-301. 

Ramyar, S., & Kianfar, F. (2019). Forecasting crude oil prices: A comparison between artificial neural networks and vector autoregressive models. Computational Economics, 53(2), 743-761. 

Shahzad, W., Rehman, Q., & Ahmed, E. (2017). Missing data imputation using genetic algorithm for supervised learning. International Journal of Advanced Computer Science and Applications, 8(3), 438-445. 

Sheikh, S. (2018). Corporate social responsibility, product market competition, and firm value. Journal of Economics and Business, 98, 40-55. 

Shujahat, M., Hussain, S., Javed, S., Malik, M. I., Thurasamy, R., & Ali, J. (2017). Strategic management model with lens of knowledge management and competitive intelligence. VINE Journal of Information and Knowledge Management Systems, 47(1), 55-93. 

Spring, M., Hughes, A., Mason, K., & McCaffrey, P. (2017). Creating the competitive edge: A new relationship between operations management and industrial policy. Journal of Operations Management, 49, 6-19. 

Stef, N., & Zenou, E. (2021). Management-to-staff ratio and a firm's exit. Journal of Business Research, 125, 252-260. 

Sull, D., & Sull, C. (2018). With goals, FAST beats SMART. MIT Sloan Management Review, 59(4), 1-11. 

Sun, R., & Wang, W. (2017). Transformational leadership, employee turnover intention, and actual voluntary turnover in public organizations. Public Management Review, 19(8), 1124-1141. 

Taylor, S. J., & Letham, B. (2018). Forecasting at scale. The American Statistician, 72(1), 37-45. 

Teece, D. J. (2017). Towards a capability theory of (innovating) firms: implications for management and policy. Cambridge Journal of Economics, 41(3), 693-720. 

Theodos, B., Stacy, C. P., & Daniels, R. (2018). Client-led coaching: A random assignment evaluation of the impacts of financial coaching programs. Journal of Economic Behavior & Organization, 155, 140-158. 

Trigeorgis, L., & Reuer, J. J. (2017). Real options theory in strategic management. Strategic Management Journal, 38(1), 42-63. 

Van der Kamp, D., Lorentzen, P., & Mattingly, D. (2017). Racing to the bottom or to the top? Decentralization, revenue pressures, and governance reform in China. World Development, 95, 164-176. 

Verma, G., & Sharma, K. (2017). The Role of quantitative techniques in business and management. Journal of Humanities Insights, 1(01), 24-26. 

Wang, Y., Shen, Z., & Jiang, Y. (2019). Comparison of autoregressive integrated moving average model and generalized regression neural network model for prediction of hemorrhagic fever with renal syndrome in China: a time-series study. BMJ Open, 9, e025773. 

Xie, H. (2019). Financial volatility modeling: The feedback asymmetric conditional autoregressive range model. Journal of Forecasting, 38(1), 11-28.