Identifying enablers of technological innovation for Indian MSMEs using best–worst multi criteria decision making method

By Himanshu Gupta, Mukesh Kumar Barua. 2016

298 citations recorded by the source corpus.

Subfields: Business and International Management, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/90b5a5b4026b84b4b2e22779ae39a54396f3f5d2

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Business and International Management

1. Jafar Rezaei
2. Seyed Jafar Sadjadi
3. Mahdi Karimi
4. Vassiliki Bamiatzi
5. Himanshu Gupta

In Strategy and Management

1. Simonov Kusi‐Sarpong
2. Jafar Rezaei
3. Seyed Jafar Sadjadi
4. Mahdi Karimi
5. Himanshu Gupta
6. Vassiliki Bamiatzi
7. Siwan Mitchelmore
8. Konstantinos Nikolopoulos

Citations in the corpus

• A supply chain sustainability innovation framework and evaluation methodology (2018, background): “Ranking of enablers of technological innovation in manufacturing enterprises (Gupta and Barua 2016); supplier segmentation (Rezaei, Wang, and Tavasszy 2015; Bai, Rezaei, and Sarkis 2017); green supplier selection (Rezaei et al. 2016; Gupta and Barua 2017); innovation and efficiency of…”
• Best-worst multi-criteria decision-making method: A robust approach (2018, background): “Gupta and Barua (2016) determined enablers of technological innovation for Indian micro, small and medium enterprises based on BWM method.”
• Internationalization Orientation in SMEs: The Mediating Role of Technological Innovation (2019, background): “Up-to-date technologies and new techniques that quickly respond to the new market dynamics (Damanpour and Gopalakrishnan, 2001) are also developed, as well as creative products that allow SMEs to differentiate themselves among their global competitors (Gupta and Barua, 2016), minimize the risks of c”
• Bayesian best-worst method: A probabilistic group decision making model (2020, background): “…real-world applications including, but not limited to, transport and logistics [30–32] , supply chain management [33–39] , technology management [40] , risk management [41] , science and research assessment [42,43] , and energy [44,45] (see [46] for more recent advances in the BWM and its…”
• ZBWM: The Z-number extension of Best Worst Method and its application for supplier development (2018, methodology): “Several researchers have applied the method to address different problems (Gupta and Barua, 2016; Mou, Xu, and Liao, 2016; Rezaei, 2016; van de Kaa, Kamp, and Rezaei, 2017).”
• Selection of biomass thermochemical conversion technology in the Netherlands: A best worst method approach (2017, background): “…(Rezaei et al., 2015), supplier selection (Gupta and Barua, 2017; Rezaei et al., 2016), evaluating barriers of technological innovation (Gupta and Barua, 2016), evaluating success factors of technological innovation (Ghaffari et al., 2017), evaluating freight bundling configurations…”
• Innovation performance: The effect of knowledge-based dynamic capabilities in cross-country innovation ecosystems (2021, unknown): “Furthermore, knowledge creation has been shown to be closely linked with an organization ’ s competitive advantage (Gupta et al. 2016), and is regarded as an output indicator of innovation performance (Andreeva & Kianto, 2011).”