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The purpose of this paper is to address the role of social robots in the education industry, specifically within special developmental schools, as a part of an innovation technology portfolio. It identifies critical success factors (CSFs) arising from the development, adoption and implementation of social robots to educate students with special needs and assist their teachers.

The study engaged in longitudinal research over 12 months, tracking the role of the Matilda robot in providing educational services to students with special needs.

The results propose a three-faceted framework for social robot application in special education: development, adoption and implementation.

The study has shown the willingness of students and teachers to embrace social robot technology, and the CSF that arise from this adoption. It has also found that social robots achieve the greatest success within the development, adoption and implementation framework when championed by executive management, and peer teacher support.

The study investigates the effect of an uncivil comment made by a party representative on social media and tests whether it can lead to a change in observers' attitude toward the party.

Data are collected from 196 respondents using a scenario-based survey. Proposed model is tested using partial least square structural equation modeling (PLS-SEM).

It is found that individual's moral identity and issue involvement influence perceived civility of the online post, which in turn affects attitude toward the party as well as the individual. It is observed that for high partisans, effect of perceived civility on attitude toward the party is stronger compared to low partisans. Party's lack of responsiveness to address the uncivil comment from its representative increases party's incivility accountability and lowers the partisan attitude toward the party.

The study presents a novel understanding of how political party representatives can influence the image of the party by engaging in an uncivil discourse on social media. Results support that strong partisan would react more unfavorably indicating that loyalty toward the party cannot be taken for granted.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-03-2020-0084

The purpose of this paper is to develop an insight into the prevalent just-in-time (JIT) practices adopted in Indian manufacturing industry for realizing the development and growth of the industrial sector. The endeavor of Indian manufacturing organizations to achieve manufacturing performance enhancement through JIT implementation has been highlighted in the present study.

The present study has been conducted in the large- and medium-scale manufacturing industries of India that have successfully implemented or are in the various stages of implementing JIT. The approach of study has been directed toward assessment of JIT initiatives in Indian manufacturing industries.

From the present study it is apparent that Indian organizations have been reasonably successful in improving the business performance by implementing holistic JIT initiatives and have successfully reaped the benefits of JIT implementation. However, it is also revealed in present study that Indian manufacturing industries need to work more aggressively on managing few issues of JIT.

The value of paper is in calculation of percent point score for each issue of JIT in context to Indian manufacturing industry and to find out significant as well as issues that need to worked aggressively by Indian manufacturing industry to reap the benefits of JIT.

With over-the-top (OTT) streaming services rapidly transforming the media industry and saturating the market, the authors' study seeks to enrich the goal-directed behaviour model by exploring how perceived risks and descriptive norms influence OTT consumption.

Survey data from OTT subscribers were collected online to assess their risk behaviours. The 353 responses obtained were analysed with SmartPLS, validating the structural equation modelling (SEM) through structural and measurement model verification.

The authors' findings illustrate that descriptive norm, perceived behavioural control, as well as positive and negative anticipated emotion (NEM) and attitude, contribute positively to the desire to engage with OTT streaming services. Interestingly, the authors' study contradicts common assumptions, revealing that subjective norms do not significantly impact the propensity to utilise OTT services. This counterintuitive finding necessitates a reconsideration of prevalent theories and contributes to a nuanced understanding of OTT adoption determinants.

The data gathering for this study were conducted from the perspective of a single nation. Therefore, caution must be exercised when generalising this study's results.

The practical ramifications of this research are vast, providing OTT service providers and marketers with actionable insights to maximise user engagement and navigate perceived risks related to OTT service adoption and consumption.

This study's exploration of perceived risks and descriptive norms enhances the goal-directed behaviour model's breadth, facilitating a holistic comprehension of the constructs shaping OTT consumption behaviours. It would be the first attempt to combine perceptual, affective and behavioural factors and perceived risks to understand the user's predisposition to engage in OTT streaming services.