Evaluating the Practices of Flexibility Maturity for the Software Product and Service Organizations

Shukla, Sanjai Kumar; Sushil, Sushil

doi:10.1016/j.ijinfomgt.2019.05.005

Cited by 28 publications

(32 citation statements)

References 124 publications

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“…The main elements of formalization, namely, procedures and organizational standards are important because they enhance organizational effectiveness and stifle innovation (Narayanan, 2001;Prakash and Gupta, 2008). However, flexible structures and systems enable firms to respond quickly to market uncertainties (Damanpour, 1992;Kumar and Singh, 2019;Shukla and Sushil, 2020). According to relevant previous studies, formal structure constitutes a positive and significant predictor of SMEs' performance (Terziovski, 2010).…”

Section: Organizational Antecedents Of Kmcmentioning

confidence: 99%

Knowledge management capability, environmental dynamism and innovation strategy in Malaysian firms

Taghizadeh

Karini

Nadarajah

et al. 2020

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PurposeThe objectives of this study is first to assess the effect of organizational antecedents on knowledge management capability and its effect on innovation strategy through the moderating effect of environmental dynamism.Design/methodology/approachThe data were collected from SMEs in central region of Malaysia through a cross-sectional survey of 202 owners and analyzed through structural equation modeling using SmartPLS software.FindingsThe results show that while formal structure, selection policies, incentives and training and development policies have positive affect on knowledge management capability, there is no effect of innovation culture on knowledge management capability. Knowledge management capability has a positive and significant effect on innovation strategy. Interestingly, the findings show that environmental dynamism strengthens the positive effect of knowledge management capability on innovation strategy.Practical implicationsThe findings of this study emphasize on the potential of collaboration among people for creating effective knowledge sharing in organizations and modalities in order to successfully design a collaborative knowledge-based work environment.Originality/valueThe model links organizational antecedents with knowledge management capability and the critical role of knowledge management capability on innovation strategy of SMEs considering environmental dynamism.

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Section: Organizational Antecedents Of Kmcmentioning

confidence: 99%

Knowledge management capability, environmental dynamism and innovation strategy in Malaysian firms

Taghizadeh

Karini

Nadarajah

et al. 2020

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“…Many authors argue that flexibility is closely related to environmental uncertainties and reflects the adaptability and responsiveness (Lu et al, 2018). Scholars and practitioners have extensively examined how service operations are faced with a high degree of uncertainty and argue that flexibility is essential in multiple fronts for customer value creation (Shukla and Sushil, 2020;Sk al en et al, 2015).…”

Section: The Concept and Dimensions Of Dynamic Capabilitymentioning

confidence: 99%

Capability development in startup and mature enterprises

Lang

Sun

et al. 2020

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PurposeThe purpose of this study is to review the literature of enterprise capability, which comprises the three dimensions of operational, dynamic and improvisational capabilities, and analyze their differences. Through this review, the authors aim to enrich the enterprise capability theory and provide some directions for entrepreneurial practice in the face of volatility, uncertainty, complexity and ambiguity (VUCA).Design/methodology/approachThe study is based on a systematic review of the literature on enterprise capability as it relates to entrepreneurial firms, following the content analysis approach as described in Gaur and Kumar (2018).FindingsThe authors’ conceptual model compares the capability levels of startups and mature enterprises and presents a model for the dynamic evolution of the capability levels of enterprises. In doing so, this study enriches the enterprise capability theory and lays the theoretical foundation for the follow-up empirical research. The authors also provide guidance for entrepreneurial practice in the face of VUCA.Originality/valueIn recent years, scholars have begun to explore the issue of enterprise capability in the field of entrepreneurship. However, because of different research perspectives, one lacks clarity on the concept and dimensions of enterprise capability. The capability theory is relatively weak in guiding the practice of enterprises; enterprises lack effective response strategies in a changing environment, and the failure rate of startups is high. This study aims to develop a deeper understanding of enterprise capability.

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“…Based on our research findings, there are several implications for theory. First, our study responds to the recent calls by existing studies (Barello et al, 2016;Reddy, 2018;Shukla & Sushil, 2020;Wang et al, 2020) to identify the constituents of responsible AI. The current study precisely explains how technical skills, ethical concerns, and risk mitigation factors affect responsible AI in the healthcare context.…”

Section: Theoretical Implicationsmentioning

confidence: 68%

“…Proponents of AI point out its affording tremendous potential to affect every sphere of human life and activity. Although artificial intelligence technology is inherently complex, integrated, and spread across multiple organizations, the capabilities of AI to drive revenues and profitability have opened a wealth of opportunities across the field (Bichinadaritz & Marling, 2006;He et al, 2019;Shukla & Sushil, 2020).…”

Section: Literature Review and Hypothesis Developmentmentioning

confidence: 99%

Responsible Artificial Intelligence (AI) for Value Formation and Market Performance in Healthcare: the Mediating Role of Patient’s Cognitive Engagement

2021

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The Healthcare sector has been at the forefront of the adoption of artificial intelligence (AI) technologies. Owing to the nature of the services and the vulnerability of a large section of end-users, the topic of responsible AI has become the subject of widespread study and discussion. We conduct a mixed-method study to identify the constituents of responsible AI in the healthcare sector and investigate its role in value formation and market performance. The study context is India, where AI technologies are in the developing phase. The results from 12 in-depth interviews enrich the more nuanced understanding of how different facets of responsible AI guide healthcare firms in evidence-based medicine and improved patient centered care. PLS-SEM analysis of 290 survey responses validates the theoretical framework and establishes responsible AI as a third-order factor. The 174 dyadic data findings also confirm the mediation mechanism of the patient’s cognitive engagement with responsible AI-solutions and perceived value, which leads to market performance.

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Evaluating the Practices of Flexibility Maturity for the Software Product and Service Organizations

Cited by 28 publications

References 124 publications

Knowledge management capability, environmental dynamism and innovation strategy in Malaysian firms

Knowledge management capability, environmental dynamism and innovation strategy in Malaysian firms

Capability development in startup and mature enterprises

Responsible Artificial Intelligence (AI) for Value Formation and Market Performance in Healthcare: the Mediating Role of Patient’s Cognitive Engagement

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