A framework for successful IoT adoption in agriculture sector: a total interpretive structural modelling approach

Singh, Surabhi; Haneef, Farha; Kumar, Sandeep; Ongsakul, Viput

doi:10.1504/jgba.2020.10033252

Cited by 2 publications

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“…Employee competency and leader competency affect each other, as the leader competency encourages conformity, articulates corporate value and objective and manages employees; in turn, employee competency affects leader efficiency. The variable which lies at the lowest level of hierarchy is the critical element of the model (Singh and Sushil, 2013; Singh et al , 2020d); therefore, it is the critical component of innovation implementation. For example, employee competency elements like flexibility, trust, knowledge, expertise and pro-active support affect business collaboration (Österlund, 1997; Rodolfa et al , 2005); whereas the employee competency elements like responsiveness and customer understanding impact customer collaboration (Bolden and Gosling, 2006).…”

Section: Resultsmentioning

confidence: 99%

Modified total interpretive structural modelling of innovation implementation antecedents

Singh

Dhir

2021

IJPPM

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PurposeThe paper aims to identify, analyse and develop a model for measuring the inter-relationship and interaction among the antecedents influencing innovation implementation. The extant literature has not widely studied the interactions and inter-relationships among the antecedents of innovation implementation. To fill this gap, the paper develops a hierarchical relationship framework between the identified antecedents of innovation implementation.Design/methodology/approachThe study follows mixed method-based approach using two methodologies: modified total interpretive structural modelling (m-TISM) and MICMAC (Matriced’ Impacts Croisés Multiplication Appliquée á un Classement) analysis. m-TISM is used for the purpose of establishing the hierarchical relationship among the antecedents. MICMAC analysis is used to study the driver-dependent relationship. To identify the antecedents of innovation implementation, the paper follows a systematic search method found in the review articles. The article search was performed across different databases including Google Scholar, Web of Science, EBSCO and Scopus.FindingsIn this study, eight innovation implementation antecedents are identified. The analysis indicates that competency antecedents such as leader competency and employee competency, having high driving and weak dependence power, are at the lowest level in the hierarchical model, whereas, innovation implementation, having high dependence and low driving power, is at the highest level in the hierarchical model. Strategic resources act as a linkage variable.Research limitations/implicationsAlthough this study summarizes the extant literature to generalize the findings, the future studies can focus upon statistical validation of model by employing structural equation modelling to generalize the results.Practical implicationsThe practitioners must emphasize on antecedents having strong driving power for successful implementation of innovation. The hierarchical model is proposed for implementing innovation successfully that will help organizations to be more competitive, productive and profitable.Originality/valueIn this study, m-TISM and MICMAC-based hierarchical models are proposed for implementing innovation successfully in organizations. It also provides the variables insights such as driver-dependent interrelationship between the identified antecedents.

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Section: Resultsmentioning

confidence: 99%

Modified total interpretive structural modelling of innovation implementation antecedents

Singh

Dhir

2021

IJPPM

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“…In summary, institutional theory was considered a suitable theoretical framework for this study, which had an aim to demonstrate that woman entrepreneurs' success is not only http://www.sajbm.org Open Access affected by their personal attributes, but also their surrounding environment, including social setting, politics, culture and regulations (Aidis & Weeks, 2016). Institutional theory had been used in similar research to explore how the different research settings influence the regulative, cultural and cognitive pillars of institutions (Singh, Sinha, Das, & Sharma, 2019). Therefore, the presence and utilisation of the institutional environment, to a large extent, determine the success of each element of the entrepreneurial ecosystem (Rugina, 2019).…”

Section: Digital Entrepreneurial Activitiesmentioning

confidence: 99%

Entrepreneurial ecosystems created by woman entrepreneurs in Botswana

Mamabolo

Lekoko

2021

South African Journal of Business Management

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Purpose: The aim of this study was to explore how woman entrepreneurs in a developing country context such as Botswana create their own entrepreneurial ecosystems that support their business-venturing activities.Design/methodology/approach: This qualitative research collected data via in-depth interviews from a purposive sample of 11 women who owned established enterprises in Gaborone, Botswana.Findings/results: Firstly, woman entrepreneurs in Botswana displayed entrepreneurial behaviours, skills and characteristics, an ability to overcome marginalisation and a positive attitude towards failure. Secondly, the entrepreneurial ecosystems created by women included social capital ties, human capital development, alternative funding mechanisms, access to local and international markets and inclusion of digital technology as part of the ecosystem. The woman entrepreneurs were influenced by the entrepreneurial institutional conditions in Botswana. Lastly, the findings showed the significance of changes to each component of the entrepreneurial ecosystem across the stages of the entrepreneurial journey.Practical implications: In a context of limited entrepreneurial resources, woman entrepreneurs should build their own ecosystem by leveraging the existing social networks and collaborating with local and international stakeholders. Government should design tailor-made entrepreneurial programmes and foster public and private partnerships to support the advancement of woman entrepreneurs. Lastly, ecosystem players including private institutions should collaborate to support women-owned entrepreneurial ventures.Originality/value: This study adopted an alternative view that woman entrepreneurs can be the key drivers of the entrepreneurial ecosystem. This system must be built up from the level of the women entrepreneurs to better understand their specific stance and also the context in which they operate.

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A framework for successful IoT adoption in agriculture sector: a total interpretive structural modelling approach

Cited by 2 publications

References 0 publications

Modified total interpretive structural modelling of innovation implementation antecedents

Modified total interpretive structural modelling of innovation implementation antecedents

Entrepreneurial ecosystems created by woman entrepreneurs in Botswana

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