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1 – 6 of 6Umar Bashir Mir, Swapnil Sharma, Arpan Kumar Kar and Manmohan Prasad Gupta
This paper aims to enlighten stakeholders about critical success factors (CSFs) in developing intelligent autonomous systems (IASs) by integrating artificial intelligence (AI…
Abstract
Purpose
This paper aims to enlighten stakeholders about critical success factors (CSFs) in developing intelligent autonomous systems (IASs) by integrating artificial intelligence (AI) with robotics. It suggests a prioritization hierarchy model for building sustainable ecosystem for developing IASs.
Design/methodology/approach
This paper is based on the existing literature and on the opinion of 15 experts. All the experts have minimum of eight years of experience in AI and related technologies. The CSF theory is used as a theoretical lens and total interpretative structure modelling (TISM) is used for the prioritization of CSFs.
Findings
Developing countries like India could leverage IASs and associated technologies for solving different societal problems. Policymakers need to develop basic policies regarding data collection, standardized hardware, skilled manpower, funding and start-up culture that can act as building blocks in undertaking sustainable ecosystem for developing IASs and implementing national AI strategy. Clear-cut regulations need to be in place for the proper functioning of the ecosystem. Any technology that can function properly in India has better chances of working at the global level considering the size of the population.
Research limitations/implications
This paper had all its experts from India only, and that makes the limitation of this paper, as there is a possibility that some of the factors identified may not hold same significance in other countries.
Practical implications
Stakeholders will understand the critical factors that are important in developing sustainable ecosystem for IASs and what should be the possible order of activities corresponding to each CSF.
Originality/value
The paper is the first of its kind that has used the CSF theory and TISM methodology for the identification and prioritization of CSFs in developing IASs. Further, eight significant factors, that is, emerging economy multinational enterprises (EMNEs), governance, utility, manpower, capital, software, data and hardware, have come up as the most important factors in integrating AI with robotics in India.
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Swapnil Lahane, Prakhar Gupta and Ravi Kant
This research aims to identify and prioritize the circular economy (CE) benefits (CEBs) due to the adoption of CE enablers (CEEs) in the Indian manufacturing organization context.
Abstract
Purpose
This research aims to identify and prioritize the circular economy (CE) benefits (CEBs) due to the adoption of CE enablers (CEEs) in the Indian manufacturing organization context.
Design/methodology/approach
This research proposes a hybrid framework of Pythagorean fuzzy analytic hierarchy process (PF-AHP) and Pythagorean fuzzy TODIM (an acronym in Portuguese for Interactive Multicriteria Decision-Making) techniques. It identifies the CEEs and CEBs based on literature review and validated through industrial experts. Further, this research conducts an empirical case study to demonstrate the applicability of the proposed framework.
Findings
The result shows that CE enabler SE1 (clear vision, support and commitment from top management for CE adoption) is the most critical enabler for CE implementation. The CE benefit CEB1 (improves the value chain of products and mitigating environmental damage during product life cycle phase) is the most significant benefit derived from the adoption of CEEs. The proposed framework will provide a more accurate, structural and systematic approach to the business organizations for achieving the CEBs in a stepwise manner through the effective adoption of CEEs.
Research limitations/implications
The findings of this research are nation-specific and based on a case study of single manufacturing industry. Thus, the result obtained can vary from case to case and nation to nation.
Originality/value
A deep understanding of each CEEs and CEBs would help build confidence among decision-makers and industrial practitioners to eliminate the risks associated with CE implementation.
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Tahseen Anwer Arshi, Venkoba Rao, Sardar Islam and Swapnil Morande
Existing business model frameworks show weak conceptual unification, a paucity of measurement focus and limitations when applied in emerging economies. The study proposes a new…
Abstract
Purpose
Existing business model frameworks show weak conceptual unification, a paucity of measurement focus and limitations when applied in emerging economies. The study proposes a new business model framework – “Start-up Evaluation Calculus Using Research Evidence” (SECURE). The purpose of this study is to allow the measurement of the impact of business model design on start-up performance in emerging economies.
Design/methodology/approach
Data collected from 713 entrepreneurs in select cities of India, Oman and the United Arab Emirates is analyzed through structural equation modeling. The study uses measurement and structural models to examine the validity of measures and additionally tests the five hypothesized relationships proposed in the study.
Findings
The SECURE’s components comprising desirability, marketability, feasibility, scalability and viability showed validity and reliability. They synergistically demonstrated a statistically significant effect on a mix of financial and non-financial start-up performance outcomes. An alternative structural relationship that examined the impact of SECURE on only financial performance outcomes showed a weaker model fit. The findings indicate that a business model framework is useful when its ex ante measures show a positive causal effect on the desired performance outcomes.
Practical implications
The scores obtained by the SECURE framework serve as an evaluative tool that informs entrepreneurs and start-ups on the readiness of their proposed, incubated or existing start-ups.
Originality/value
Replacing subjective judgments with objective assessment criteria, SECURE is one of the first quantitative and performance-driven business model frameworks that contain measures from all functional domains of a start-up business. Start-ups can evaluate their business models against the SECURE model’s research-driven quantitative criteria and assess their impact on start-up performance.
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Swapnil K. Shirsath and Subhash C. Yaragal
This study reports the performance of thermally deteriorated concrete with and without fibres. Attempts have been made to find the suitable performance of steel polypropylene (PP…
Abstract
Purpose
This study reports the performance of thermally deteriorated concrete with and without fibres. Attempts have been made to find the suitable performance of steel polypropylene (PP) hybrid fibre combination that could significantly enhance the performance of mechanical properties at elevated temperatures.
Design/methodology/approach
In this experimental investigation, concrete cubes of 100 mm in size of various compositions were cast and water-cured for 28 days, and later exposed to elevated temperatures of either 200 or 400°C or 600 and or 800°C with a retention period of 2 h. The properties like change in colour and percentage weight loss were evaluated. Ultrasonic Pulse Velocity test was used to obtain qualitative information of strength variation. Residual strength of thermally deteriorated concrete specimen was measured by destructive testing.
Findings
Steel fibre volume fraction of 1 per cent improves the compressive strength of concrete in the temperature range of 400 to 800°C. The addition of steel fibre and PP fibre (Mix 3) improves the splitting strength of the concrete at elevated temperature range of 400 to 600°C.
Originality/value
Performance enhancement is observed with hybrid fibres for temperature endurance of concrete.
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Marcella Dsouza, Anuradha Phadtare, Swapnil S. Vyas, Yogesh Shinde and Ajit Jadhav
This study aims to understand how climatic drivers of change will affect rural communities living in the hot semiarid region of Bhokardan Taluka of Jalna district in the Indian…
Abstract
Purpose
This study aims to understand how climatic drivers of change will affect rural communities living in the hot semiarid region of Bhokardan Taluka of Jalna district in the Indian state of Maharashtra. In the context of the economic and social change they are experiencing, the concern is to evolve ways that enable them to cope with, adapt to and benefit from these challenges.
Design/methodology/approach
The focus of most of the climate change studies is on the short- to long-term trends of weather parameters such as rainfall, temperature and extreme weather events. The impact of climate variability and changing patterns on the local communities, the local economy, livelihoods and social life in specific geographies is less explored.
Findings
As the impacts of climatic and nonclimatic drivers of change are cross-sectoral, diverse, multidimensional, interlinked and dynamic, this study has adopted a transdisciplinary “research-in-use” approach involving multidisciplinary teams covering the aspects such as changes in land use and land cover, surface and groundwater status, edaphic conditions, crops and livestock, climate analysis including projected changes, socioeconomic analysis, people’s experience of climate variability and their current coping strategies and resilience (vulnerability) analysis of communities and various livelihood groups.
Research limitations/implications
The study was based on the peoples’ perspective and recommendation based on the local communities ability to cope up with climate change. However, a statistical analysis perspective is missing in the present study.
Originality/value
Based on these findings, a set of implementation-focused recommendations are made that are aimed at conserving and enhancing the resilience of the foundations that uphold and sustain the social and economic well-being of the rural communities in Bhokardan taluka, namely, land, water, agriculture, livestock, food and nutrition security, livelihoods, market access and social capital.
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Prabhjot Kaur, Keshav Malhotra and Sanjeev K. Sharma
Taking an evidence from social exchange theory, this research examines the mediating role of affective commitment in the correlation between internal branding, employee engagement…
Abstract
Purpose
Taking an evidence from social exchange theory, this research examines the mediating role of affective commitment in the correlation between internal branding, employee engagement and job satisfaction. The moderating role of work environment on the link between internal branding and affective commitment is also studied in this research.
Design/methodology/approach
The data were collected by using well-structured research measures from 215 employees working in the BPO sector of India (Punjab and Chandigarh). The hypotheses were developed, and the conceptual model was validated by applying structural equation modeling. The data were analyzed by using two statistical packages, namely SPSS and AMOS.
Findings
The findings suggest that internal branding has a significant positive relationship with employee engagement, job satisfaction and affective commitment. The mediating effect of affective commitment on the relationship between internal branding and employee engagement was full, whereas on the relationship between internal branding and job satisfaction, it was partial. Work environment also moderated the relationship of internal branding with affective commitment.
Research limitations/implications
The current study offers significant lessons to management thinkers, human resource (HR), organizational branding and marketing manager. However, BPO sector should be aware about the critical role played by internal branding to enhance affective commitment, employee engagement and job satisfaction of the employees. The role of affective commitment is also taken into account to study the effect of internal branding on employee engagement and employee's job satisfaction. For itself, internal branding cannot be considered as in isolation and is doubtful to be efficacious if the work environment is not encouraging to an employee as well as to the brand values.
Practical implications
This study offers significant lessons to management thinkers, HR, organizational branding and marketing manager. However, BPO sector should be aware about the critical role played by internal branding to enhance employee engagement, job satisfaction and affective commitment of the employees. An important role of affective commitment is also taken into account to study the effect of internal branding on employee engagement and employee's job satisfaction. For itself, internal branding cannot be considered as in isolation and is doubtful to be efficacious if employees are not provided an encouraging work environment.
Originality/value
Existing researches on internal branding are theoretical in nature and overlook the empirical impact of internal branding on employee engagement, job satisfaction and affective commitment from the BPO employees' perspective. The study also offers an empirical examination of potential mediator and moderator for internal branding.
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