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1. Moving Away from Bad Practices in Research Toward Constructing Useful Theory and Doing Useful Research - Arch G. Woodside 2. Embrace Complexity Theory, Perform Contrarian Case Analysis, and Model Multiple Realities - Arch G. Woodside 3. Moving Beyond Multiple Regression Analysis and Symmetric Tests to Algorithms and Asymmetric Tests - Arch G. Woodside 4. Case-Based Modeling of Business-Business Relationships - Arch G. Woodside and Roger Baxter 5. Performing Triple Sense-making in Field Experiments - Arch G. Woodside, Alexandre Schpektor and Richard Xia 6. Complexity Theory, Configural Analysis, and Deepening the Service Dominant Logic - Pei-Ling Wu, Shih-Shuo Yeh, Tzung-Cheng (T.C.) Huan and Arch G. Woodside 7. Complexity Theory and Human Resources Management: Transcending Variable and Case-Based Perspectives of Service Employees’ (Un)Happiness and Work Performance - Chyi Jaw, James Po-Hsun Hsiao, Tzung-Cheng (T. C.) Huan and Arch G. Woodside
Business scholars describe the bad research practices that are taught in courses and promulgated in most articles in most scholarly journals of finance, management, marketing, and organizational studies. They cover moving away from bad practices in research toward constructing useful theory and doing useful research; embrace complexity theory, perform contrarian case analysis, and model multiple realities; moving beyond multiple regression analysis and symmetric test to algorithms and asymmetric tests; case-based modeling of business-business relationships; performing triple sensemaking in field experiments; complexity theory, configural analysis, and deepening the service dominant logic; and complexity theory and human resources management: transcending variable and case-based perspective of service employees' (un)happiness and work performance.