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Of the global carrot production, 20–30% is outgraded as carrot rejects and waste (CRW) at the primary processing level, which is partially used toward animal feed and the remaining ends in the landfills. This study was undertaken to identify the hurdles and seek potential solutions for using CRW in food processing.

CRW were procured from the processing unit in Ontario, Canada, as (1) outgraded carrots (OGCs) and (2) processed discards (PDs). The physical parameters of CRW, imperfections responsible for their separation from the graded carrots and shelf-life studies were recorded.

A significant difference with p ≤ 0.05 was recorded for both the physical parameters and the nature of imperfections in CRW. Discolored carrots (42.37 ± 3.59%) and the presence of vertical splits (52.71 ± 3.18%) were among the top defects in the OGCs. In contrast, the presence of broken tips (54.83 ± 2.52%) and vertical splits (40.56 ± 2.65%) were among the primary cause for the generation of PDs. In total, five percent of CRW were initially infected, which later increased to 30% during the seven days storage period.

The limitation of the study was that only two varieties of carrots were considered and these were procured from one processor (the authors’ industry partner) at different time intervals of the year. Microbiological analysis could not be completed and reported due to prevailing coronavirus disease 2019 (COVID-19) situation but is included for future studies.

Development of specialized post-harvest packaging and handling protocols and separation of infected fragments are essential before suggesting the use of CRW in food processing.

Numerous studies report on the post-harvest management and processing of graded carrots, but limited to no studies are published on the usage of CRW in food processing.

Pearl millet (Pennisetum glaucum) is a rich source of nutrients as compared to the major cultivated cereal crops. However, major factors which limit its utilization are the presence of anti-nutritional factors (phytate, tannins and polyphenols) which lower availability of minerals and poor keeping quality because of higher lipase activity. Therefore, this paper aims to focus on the impact of different processing methods on the nutrient composition and anti-nutritional components of pearl millet.

This is a literature review study from 1983 to 2017, focusing on studies related to pearl millet processing and their effectiveness in the enrichment of nutritional value through reduction of anti-nutritional compounds.

From the literature reviewed, pearl millet processing through various methods including milling, malting, fermentation, blanching and acid as well as heat treatments were found to be effective in achieving the higher mineral digestibility, retardation of off flavor, bitterness as well as rancidity problems found during storage of flour.

Through this review paper, possible processing methods and their impact on the nutrient and anti-nutrient profile of pearl millet are discussed after detailed studied of literature from journal articles and thesis.

This paper conceptualizes the broaden-build and self-determination theories that act as the major theoretical framework to investigate the role of psychological detachment and job crafting behaviours in predicting intrinsic motivation through emotional stability. It was hypothesized that emotionally stable employees are better able to detach themselves from work and craft their job according to their preference and abilities, which would inculcate experience and make them intrinsically motivated.

The sample comprised 396 employees, who are employed in different organizations across India. To test the hypotheses, the authors conducted structural equation modelling on SPSS AMOS 22.

The results highlight the partial mediating role of emotional stability in the association of psychological detachment with intrinsic motivation as well as the fully mediating role between job crating and intrinsic motivation.

The study is conducted in a non-western collectivist culture and it makes significant contribution to the available literature on intrinsic motivation by proving that psychological detachment and job crafting act as predictor and highlighting the psychological state through emotional stability. The study further adds toward theory building around the construct of emotional stability, as it is still in its infancy.

This study has depicted that emotionally stable employees who are psychologically detached and have proactive job crafting behaviour can achieve higher intrinsic motivation.

On the basis of the recovery process (i.e. the effort-recovery model), the broaden and build theory and self-determination theory (SDT), this paper demonstrates that emotional stability plays the role of mediator that drives psychological detachment and encourages job crafting, which has the ability to intrinsically motivate the employees.

The purpose of this paper is to investigate experimentally the effect of several input process factors, namely, feed rate, spindle speed, ultrasonic power and coolant pressure, on hole quality measures (penetration rate [PR] and chipping diameter [CD]) in rotary mode ultrasonic drilling of macor bioceramic material.

The main experiments were planned using the response surface methodology (RSM). Scanning electron microscopy was also used to examine and study the microstructure of machined samples. This study revealed the existence of dominant brittle fracture and little plastic flow that resulted in a material loss from the base work surface. Experiment findings have shown the dependability and adequacy of the proposed mathematical model.

The percentage of brittle mode deformation rises as the penetration depth of abrasives increases (at increasing levels of feed rate). This was due to the fact that at greater depths of indentation, material loss begins in the form of bigger chunks and develops inter-granular fractures. These stated causes have provided an additional advantage to increasing the CD over the machined rod of bioceramic. The desirability method was also used to optimize multi-response measured responses (PR and CD). The mathematical model created using the RSM method will be very useful in industrial revelation. Furthermore, the investigated answers’ particle swarm optimization (PSO) and teacher-learner-based optimization (TLBO) make the parametric analysis more relevant and productive for real-life industrial practices.

Macor bioceramic has been widely recognized as one of the most highly demanded innovative dental ceramics, receiving expanded industry approval because of its outstanding and superior characteristics. However, effective and efficient processing remains a problem. Among the available contemporary machining methods introduced for processing typical and advanced materials, rotary mode ultrasonic machining has been identified as one of the best suitable candidates for precise processing of macor bioceramics, as this process produces thermal damage-free profiles, as well as high accuracy and an increased material removal rate. The optimized combined setting obtained using PSO is feed rate = 0.16 mm/s, spindle speed = 4,500 rpm, ultrasonic power = 60% and coolant pressure = 280 kPa with the value of fitness function is 0.0508. The optimized combined setting obtained using TLBO is feed rate = 0.06 mm/s, spindle speed = 2,500 rpm, ultrasonic power = 60% and coolant pressure = 280 kPa with the value of fitness function is 0.1703.

Benchmarking research has explored the role of organizational practices and business processes rooted with human capabilities for achieving growth performance. The role of high performance work system as an organizational practice and business process is yet to be studied. Even if studied, no study has been conducted on the role of training transfer climate on high performance work system and organizational performance. The current research aims at examining high performance work system on organizational performance. Further, the study also examine training transfer climate as a mediating variable between HPWS and organizational performance.

Data collected from 415 executives of a high performance-based power sector company of Gujarat, India. The survey instrument consists of high performance work system, training transfer climate and organizational performance. Confirmatory factor analysis was used for a simultaneous assessment of overall and specific elements of measurement validity and reliability. Structural equation modelling used to test the hypothesized model.

The result proved the capability of high performance work system to predict organizational performance. Further, the result supports the hypothesis that training transfer climate acts as a mediator between high performance work system and organizational performance.

The result has important theoretical and managerial implications. Theoretically, the research extends the scope of benchmarking to high performance work system. The managerial implications have been discussed from the training transfer climate perspectives.

The originality of the study lies with proving the role of high performance work system and training transfer climate as an organizational practice and business process within benchmarking research.

Herd behavior has been studied herein and tested based on primary respondents from Indian markets.

The paper expounds the empirical evidence by applying the cross-sectional absolute deviation method and reporting on herd behavior among decision-makers who are engaged in trading in the Indian stock market. Further, the study attempts to analyze the market-wide herding in the Indian stock market using 2230 daily, 470 weekly and 108 monthly observations of Nifty 50 stock returns for a period of nine years from April 1, 2009 to March 31, 2018 during the normal market conditions, extreme market conditions and in both increasing and decreasing market conditions.

In a span of a decade witnessing different market cycles, the authors’ results exhibit that there is no evidence of herding in any market condition in Indian stock market primarily due to the dominance of institutional investors and secondly because of low market participation by individual investors.

The results reveal that there is no impact of herd behavior on the stock returns in the Indian equity market during the normal market conditions. It highlights that the participation of individuals who are more prone to herding is more evident for short-run investments, contrary to long-term holdings.

This paper aims to design the fractional order sliding mode controller for highly maneuverable remote piloted unmanned aircraft with time-varying delays.

With the assumption that the time-varying delays are bounded and identical for different outputs, an observer-based control technique is implied which reformulates the state variables based on the system model and delayed outputs. The estimated state variables are fed as feedback into the controller. Based on the delayed output observer, a fractional order sliding mode controller is designed. Further, the stability of the closed-loop system is analyzed and asymptotical convergence is realized using Lyapunov–Razumikhin theorem.

The simulation is done in Matlab and Simulink. The parametric variations and trajectory tracking results are illustrated which looks propitious.

In practical operation, measurement signal is often delayed, which significantly degrade the control performance or even disturb the stability. It is emphasized to choose attitude as the evaluation indicator for unmanned aerial vehicle time delay.

A novel fractional order sliding mode control technique is designed to enhance the trajectory tracking, thus autonomous flight performance, of the aircraft system. Also, the main idea behind this novel procedure is formulated for minimizing the parametric variations in presence of time delays.

Key success factors (KSFs) of total productive maintenance (TPM) have historically played a vital role in attaining economic and ecological sustainability but have overlooked social sustainability. Hence, this study analyses and ranks the most significant TPM KSFs for attaining social sustainability in manufacturing small and medium enterprises (SMEs).

The research employs a deductive methodology to identify the relevant TPM KSFs and social sustainability indicators and then uses Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to rank the TPM KSFs in order to achieve social sustainability, followed by a sensitivity analysis to assess the methodological robustness.

The findings indicate that the top five TPM KSFs influencing social sustainability are employee health and safety, organizational culture, top management commitment, employee engagement and effective communication and effective workplace management. In addition, the results indicate that effective equipment utilization is the least significant TPM key factor affecting social sustainability.

SME manufacturing managers do not need to worry about all of the TPM KSFs if they only concentrate on the ones that will have the most impact. If managers use the top 5 TPM KSFs as a starting point, they may create customized TPM training programs for their companies. As a result, this will facilitate the efforts of their personnel toward social sustainability.

In the existing literature, little emphasis has been paid to social sustainability and how SMEs may implement these practices. This research adds to the current theory of TPM and social sustainability and sheds light on how SMEs might use TPM to advance toward more socially sustainable operations.

The purpose of this research is to establish a conceptual model to understand the impact of Total Productive Maintenance (TPM) and Industry 4.0 (I4.0) on the transition of a Circular Economy (CE). Also, the paper explores the combined impact of TPM, I4.0 and CE on the sustainability performance (SP) of manufacturing firms.

The conceptual model is proposed using the dynamic capability view (DCV) and empirically validated by partial least squares-structural equation modelling (PLS-SEM) using 304 responses from Indian manufacturing firms.

The results suggest that I4.0 positively impacts TPM, CE and SP, also showing TPM's positive impact on CE and SP. In addition, CE has a positive influence on the SP of manufacturing firms. Furthermore, CE partially mediates the relationship between I4.0 and SP with TPM and SP. The study also identifies TPM, I4.0 and CE as a new bundle of dynamic capabilities to deliver SP in manufacturing firms.

The present research adds to the knowledge and literature on DCV by identifying the importance of CE in the settings of I4.0 and TPM, especially in the context of sustainability. Also, the current study offers a new set of dynamic capabilities and provides some significant future recommendations for researchers and practitioners.

The integration of Total Productive Maintenance (TPM) and Industry 4.0 (I4.0) is an emerging model, and the global pressure of various stakeholders raises scepticism of any emerging model towards providing sustainability. Therefore, this research aims to identify and rank the potential significant drivers of an integrated model of I4.0 and TPM to guide manufacturing enterprises towards sustainability.

This research follows a four-phase methodology including literature review and expert opinion to select the sustainability indicators and I4.0-integrated TPM key drivers, followed by employing the analytic hierarchy process approach for weight determination of sustainability indicators. The research then deploys the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to prioritise the I4.0-integrated TPM key drivers based on their effect on various sustainability indicators. Finally, a sensitivity analysis is conducted to check the robustness of the TOPSIS.

The findings establish the top five most influential key drivers of an I4.0-integrated TPM system, which include top management support, formal I4.0 adoption program, mid-management involvement and support, solid TPM baseline knowledge and high engagement of the production team. These top drives can lead manufacturing firms towards sustainability.

The digitalisation of shop floor practices, such as TPM, could be adapted by shop floor managers and policymakers of manufacturing companies to deliver sustainability-oriented outcomes. In addition, this research may aid decision-makers in the manufacturing sector in identifying the most important drivers of I4.0 and TPM, which will assist them in more effectively implementing an integrated system of I4.0 and TPM to practice sustainability. The scope of TPM applicability is wide, and the current research is limited to manufacturing companies. Therefore, there is a huge scope for developing and testing the integrated system of I4.0 and TPM in other industrial settings, such as the textile, food and aerospace industries.

This research makes a first-of-its-kind effort to examine how an I4.0-integrated TPM model affects manufacturing companies' sustainability and how such effects might be maximised.