Towards a Standard Framework for Organizational Readiness for Technology Adoption

Sharma, Abhishek; Venkatraman, Sathyanarayanan

doi:10.1007/978-981-19-7071-9_10

Cited by 3 publications

(1 citation statement)

References 48 publications

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“…Technology has a significant impact on the entrepreneurial process, particularly for the underprivileged, and it makes resource acquisition, innovative capacity, community development, and dynamic capacities possible (Santos & Neumeyer, 2022;Syam et al, 2022). To maximize economic value, evaluating an organization's preparedness for technology adoption is crucial and calls for a standard evaluation framework (Sharma & Venkatraman, 2023). Both short-and long-term effects of contemporary technologies on entrepreneurial operations can be seen in mechatronics, blockchain, IT, artificial intelligence, and augmented or virtual reality (Laužikas & Miliūtė, 2021).…”

Section: Introductionmentioning

confidence: 99%

Examining The Effects of Technology Adoption, Cultural Values, Social Capital, and Government Policies on Entrepreneurial Success and Social Impact in Indonesia

Akmal,

Asriany,

Bando

et al. 2024

IJBLE

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This study examines the intricate dynamics of Indonesia's entrepreneurial ecosystem nexus and looks into how government policies, cultural norms, technological adoption, and social capital affect both social impact and entrepreneurial success. 350 entrepreneurs are included in a broad sample and a quantitative methodology is used. Partial least squares structural equation modeling made it easier to analyze direct and indirect links, and model fit indices confirmed that the model fit the data. The findings demonstrate how government regulations, social capital, cultural norms, and technological adoption all have a big impact on social impact and entrepreneurial success. Because all components of Indonesia's entrepreneurial ecosystem are interrelated, this study emphasizes practical lessons for entrepreneurs, politicians, and academics.

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Section: Introductionmentioning

confidence: 99%

Examining The Effects of Technology Adoption, Cultural Values, Social Capital, and Government Policies on Entrepreneurial Success and Social Impact in Indonesia

Akmal,

Asriany,

Bando

et al. 2024

IJBLE

View full text Add to dashboard Cite

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Adoption of artificial intelligence and big data analytics: an organizational readiness perspective of the textile and garment industry in Bangladesh

Hossain,

Srivastava,

Oliver

et al. 2024

BPMJ

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PurposeThe purpose of this paper is to investigate the organizational readiness perspective of adopting artificial intelligence and big data analytics in the textile and garment industry in Bangladesh along with identifying the associated factors.Design/methodology/approachThe research uses a qualitative method using semi-structured interviews with representatives of business organizations and stakeholders of Bangladesh’s textile and garment industry.FindingsThe research reveals that the textile and garment industry in Bangladesh currently has low organizational readiness to adopt artificial intelligence and big data analytics. This is due to moderate knowledge- and leadership-readiness along with low human-, finance- and engagement-readiness of most of the business organizations. The readiness aspects interplay with each other and need to be improved holistically.Practical implicationsConsidering the significant global and national importance of Bangladesh’s textile and garment industry, gaining insights into the industry’s current state of readiness for adopting artificial intelligence and big data analytics would offer valuable assistance to both national and global economies and may enhance economic outcomes.Originality/valueSince no exploratory study was conducted to understand the organizational readiness aspects of adopting artificial intelligence and big data analytics of the globally significant textile and garment industry in Bangladesh, the paper analyzes five key aspects of such readiness and offers a basis for conducting similar studies in other emerging economies.

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Psychometric assessment of organizational readiness scale for digital innovations and antecedents of organizational readiness

Taganoviq,

Kurutkan,

Bagis

et al. 2023

HSM

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BACKGROUND: This article aims to perform a psychometric assessment of the scale of organizational readiness for digital innovations in a transition economy and to examine the antecedents of organizational readiness for digital innovations. METHODOLOGY: The study employed a quantitative research method to analyze data collected from a sample of 1236 health professionals. The scale secondary confirmatory factor and linear regression analysis were employed to verify organizational readiness and test the respective hypotheses about organizational readiness for digital innovation, respectively. RESULTS/CONCLUSIONS: The research findings show that the organizational readiness scale for digital innovations is valid and reliable in transition economies. Findings show that the relationship between variables such as adaptation of human resources (AHR), cognitive readiness (COR), planning for new telehealth and e-health (PNTH), IT readiness (ITR), resource readiness (RR), partnership readiness (PR), and cultural readiness (CUR) are correlated with the innovations implementation effectiveness (IIE), and organizational readiness for digital innovation is positive statistically significant. Findings also suggest that Integration of old technologies (IoT) and organizational readiness for digital innovation is statistically significant and have negative relationship.

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Towards a Standard Framework for Organizational Readiness for Technology Adoption

Cited by 3 publications

References 48 publications

Examining The Effects of Technology Adoption, Cultural Values, Social Capital, and Government Policies on Entrepreneurial Success and Social Impact in Indonesia

Examining The Effects of Technology Adoption, Cultural Values, Social Capital, and Government Policies on Entrepreneurial Success and Social Impact in Indonesia

Adoption of artificial intelligence and big data analytics: an organizational readiness perspective of the textile and garment industry in Bangladesh

Psychometric assessment of organizational readiness scale for digital innovations and antecedents of organizational readiness

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