Does learning from innovation failure enhance innovation performance? A quantitative investigation of small businesses

Shaik, Aqueeb Sohail; Alshibani, Safiya Mukhtar; Mishra, Shreya; Papa, Armando; Cuomo, Maria Teresa

doi:10.1016/j.technovation.2023.102818

Cited by 20 publications

(2 citation statements)

References 139 publications

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“…At this level, organizations implement quantitative process management practices to control process performance and variability. Its quantitatively managed using statistical techniques and data analysis to ensure predictability and stability in which organizations at this level continually strive for process improvement and innovation (Shaik et al, 2023;Babatunde et al, 2024). Processes are proactively monitored, analyzed, and optimized to identify and address opportunities for enhancement.…”

Section: Conceptual Models For Business Process Reengineering (Bpr)mentioning

confidence: 99%

Cross-industry frameworks for business process reengineering: Conceptual models and practical executions

Oladapo Adeboye Popoola,

Henry Ejiga Adama,

Chukwuekem David Okeke

et al. 2024

World J. Adv. Res. Rev.

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Cross-industry frameworks for business process reengineering (BPR) have emerged as pivotal tools in enhancing organizational efficiency, agility, and competitiveness across diverse sectors. These frameworks amalgamate conceptual models with practical executions to streamline operations, optimize resource allocation, and foster innovation. This review delves into the essence of cross-industry frameworks for BPR, elucidating their conceptual underpinnings and real-world applications. At the core of cross-industry frameworks lies the recognition that business processes transcend sector boundaries, encompassing common elements such as customer interactions, supply chain management, and operational workflows. Conceptual models form the foundational framework by articulating key principles, methodologies, and best practices for BPR initiatives. One prominent conceptual model is the Business Process Reengineering (BPR) methodology, which advocates for radical redesign rather than incremental improvement of processes. This approach emphasizes fundamental questioning of existing practices, aiming to achieve dramatic enhancements in efficiency, quality, and customer satisfaction. Another influential model is the Capability Maturity Model Integration (CMMI), which provides a roadmap for organizations to systematically improve their processes by advancing through defined maturity levels. Practical executions of cross-industry frameworks entail the translation of conceptual models into actionable strategies tailored to specific organizational contexts. This involves a multifaceted approach encompassing process analysis, stakeholder engagement, technology integration, and change management. Process analysis entails mapping current workflows, identifying bottlenecks, and pinpointing areas for optimization. Stakeholder engagement is crucial for garnering buy-in and fostering a culture of continuous improvement. Technology integration plays a pivotal role in modern BPR initiatives, leveraging digital tools such as business process management (BPM) software, data analytics, and robotic process automation (RPA) to streamline operations and enhance decision-making. Moreover, emerging technologies like artificial intelligence (AI) and blockchain offer new avenues for process innovation and optimization. Change management constitutes a critical component of practical executions, as BPR initiatives often entail significant organizational transformation. Effective change management involves communication, training, and leadership support to mitigate resistance and facilitate smooth transition. Real-world applications exemplify the effectiveness of cross-industry frameworks in driving tangible business outcomes. Case studies spanning diverse sectors, including manufacturing, healthcare, finance, and retail, demonstrate how organizations have leveraged BPR to achieve breakthrough improvements in efficiency, cost reduction, and customer satisfaction. In the manufacturing sector, for instance, companies have adopted lean manufacturing principles to streamline production processes, minimize waste, and enhance flexibility. In healthcare, BPR initiatives have led to streamlined patient care pathways, reduced administrative burdens, and improved clinical outcomes. Financial institutions have leveraged BPR to optimize loan approval processes, mitigate risk, and enhance regulatory compliance. Similarly, retailers have utilized BPR to optimize supply chain management, enhance omnichannel capabilities, and personalize customer experiences. Cross-industry frameworks for business process reengineering represent a potent paradigm for organizational transformation in today's dynamic business landscape. By integrating conceptual models with practical executions, these frameworks empower organizations to enhance operational efficiency, drive innovation, and maintain competitive advantage across diverse sectors.

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Section: Conceptual Models For Business Process Reengineering (Bpr)mentioning

confidence: 99%

Cross-industry frameworks for business process reengineering: Conceptual models and practical executions

Oladapo Adeboye Popoola,

Henry Ejiga Adama,

Chukwuekem David Okeke

et al. 2024

World J. Adv. Res. Rev.

View full text Add to dashboard Cite

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“…Leaders who are sensitive to various issues will certainly prepare various things to ensure the sustainability of the business they run, one way is to think about various innovations that are useful for the business. For SMEs themselves, innovation is one of the important things to survive (Shaik et al, 2023). In addition to how leaders and innovation development factors, a good relationship between leaders and employees is the key to gaining strength in running a business (Tandelilin et al, 2019).…”

Section: Hypothesis Testingmentioning

confidence: 99%

The Influence of Knowledge-Oriented Leadership on Innovative Work Behavior in SMEs with Knowledge Sharing as a Mediator

Andika Sayang Bati,

Ekowati

2024

Eduvest

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Micro, Small, and Medium Enterprises (MSMEs) have been one of the business sectors significantly affected by the changes brought about by Covid-19. Many MSMEs have successfully overcome the challenging period of the Covid-19 pandemic. Particularly, leadership patterns focusing on knowledge, or knowledge-oriented leadership, have emerged as one of the key factors for MSME leaders to develop their businesses. In addition to leadership patterns, MSMEs also emphasize innovative work behavior within the workplace environment, complemented by communication systems focused on knowledge sharing. This study examines the relationship between leadership patterns and knowledge-focused communication towards innovative behavior within the workplace environment. The research involved 600 MSME employees scattered across Indonesia. The study utilized Structural Equation Modeling (SEM) with the assistance of SmartPLS in data management processes. The findings of this study indicate that knowledge-oriented leadership significantly and positively impacts the development of innovative work behavior within the MSME workplace environment. Furthermore, knowledge sharing significantly serves as a mediator for the relationship between knowledge-oriented leadership and the enhancement of innovative work behavior within the MSME workplace environment.

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Artificial intelligence (AI)‐driven strategic business model innovations in small‐ and medium‐sized enterprises. Insights on technological and strategic enablers for carbon neutral businesses

Shaik,

Alshibani,

Jain

et al. 2023

Bus Strat Env

Self Cite

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This study investigates the enhancement of technological and strategic enablers for carbon‐neutral businesses (CNB) through artificial intelligence (AI)‐driven business model innovation (AIDBMI). Drawing upon the insights gained from the literature review, the study employs structural equation modeling (partial least squares structural equation modeling [PLS‐SEM]) as the methodology to examine the relationships between AIDBMI, technological enablers, strategic enablers, and the attainment of carbon neutrality. The sample size consists of 326 small‐ and medium‐sized enterprises (SMEs) in the United States of America. The findings of this study affirm the significant positive relationships between AIDBMI and both technological and strategic enablers for CNB. The utilization of AI technologies proves to be instrumental in fostering the development and implementation of innovative business models that integrate sustainability practices and address environmental challenges. By leveraging AIDBMI, SMEs can harness technological advancements to adopt energy‐efficient processes, embrace renewable energy solutions, and implement effective carbon reduction strategies. Moreover, the study highlights the critical role of strategic enablers in driving the transition towards carbon neutrality. The alignment of sustainability goals with organizational strategies, stakeholder collaboration, and employee engagement emerge as pivotal factors in enabling SMEs to effectively utilize AIDBMI and leverage technological advancements to achieve carbon neutrality. The implications of this study contribute to the existing literature by highlighting the importance of technological and strategic enablers in creating CNB. By integrating AIDBMI, organizations can drive sustainable transformations, optimize their operations, and align their resource management with sustainable practices. These insights provide valuable guidance for SMEs, policymakers, and researchers seeking to foster sustainable practices, promote carbon neutrality, and contribute to the advancement of a low‐carbon economy.

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Does learning from innovation failure enhance innovation performance? A quantitative investigation of small businesses

Cited by 20 publications

References 139 publications

Cross-industry frameworks for business process reengineering: Conceptual models and practical executions

Cross-industry frameworks for business process reengineering: Conceptual models and practical executions

The Influence of Knowledge-Oriented Leadership on Innovative Work Behavior in SMEs with Knowledge Sharing as a Mediator

Artificial intelligence (AI)‐driven strategic business model innovations in small‐ and medium‐sized enterprises. Insights on technological and strategic enablers for carbon neutral businesses

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