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The purpose of the current article is to explore the rotational behavior on nanofluid flow over an exponentially stretching surface. Heat and mass flux are formulated upon Cattaneo–Christov theory.

Effect of thermophoretic, Brownian motion and thermally convective conditions is further retained. Novel boundary layer approximations are applied to transform the governing equations of continuity, momentum, energy and nanoparticle volume fraction. Convergent series solutions are obtained to manage the rotating flow with the aid of homotopy analysis method (HAM).

Depending on the several dimensionless parameters including the local rotation parameter the Prandtl number Pr, the thermophoresis parameter, the Brownian motion parameter, the Lewis number Le, Biot number Bi, Deborah number in terms of heat flux relaxation parameter and Deborah number in terms of mass flux relaxation parameter with the dimensionless physical quantities are deliberated through graphs. Present results are also likened with the foregoing results in significance.

No such assumptions have been made for the development of analytical solution so far.

The best possible way for brick-and-mortar retailers to maximise engagement with personalised shoppers is capitalising on intelligent insights. The retailer operates differently with diversified items and services, but influencing retail atmospheric on personalised shoppers, the perception remains the same across industries. Retail atmospherics stimuli such as design, smell and others create behavioural modifications. The purpose of this study is to explore the atmospheric effects on brick-and-mortar store performance and personalised shopper's behaviour using cognitive computing based in-store analytics in the context of emerging market.

The data are collected from 35 shoppers of a brick-and-mortar retailer through questionnaire survey and analysed using quantitative method.

The result of the analysis reveals month-on-month growth in footfall count (46%), conversation rate (21%), units per transaction (27%), average order value (23%), dwell time (11%), purchase intention (29%), emotional experience (40%) and a month-on-month decline in remorse (20%). The retailers need to focus on three control gates of shopper behaviour: entry, browsing and exit. Attention should be paid to the cognitive computing solution to judge the influence of retail atmospherics on store performance and behaviour of personalised shoppers. Retail atmospherics create the right experience for individual shoppers and forceful use of it has an adverse impact.

The paper focuses on strategic decisions of retailers, the tactical value of personalised shoppers and empirically identifies the retail atmospherics effect on brick-and-mortar store performance and personalised shopper behaviour.

The objective of the present study is to identify and analyze a set of critical success factors (CSFs) for ice-cream industry [cold chain management (CCM)] that helps in increasing the efficacy, quality, performance and growth of the supply chain organization.

A questionnaire survey with companies in ice-cream sector and a panel study with experts were conducted to identify and validate CSFs and their associated sub-factors. Eight CSFs identified from the cold chain domain vetted for the ice-cream industry and then prioritized by using one of the most well-known decision-making frameworks, Decision-Making Trial and Evaluation Laboratory. The general verdicts of the modelling and its application to the real-world case have been tested through an ice-cream company supply chain.

The result shows that the significant CSFs accountable for the growth of the ice-cream industry are the infrastructure and capacity building, consistent product improvement and operational efficiencies of the value chain. Subsequently, it was identified that the use of IT and related technologies and improved processes for operations also play a considerable role in the performance of ice-cream industry.

The study successfully outlines the effective CCM practices for critical issues. The proposed methodology and factor modelling case demonstration might be useful in analyzing the logistic chains of products such as fruits, drugs and meat.

The meritorious identification of critical areas and executing mitigation plans bring notable benefits to the firms such as improved operational efficiencies, improved time to market performance and product innovation, which bring additional benefits to the producers.

Pickling or salt curing is one of the major traditional processes to increase the shelf life of bitter gourd in India. No information is available about optimization of salt curing of bitter gourd and the related changes in its quality. Moreover, specific investigations are needed to evaluate individual susceptibility of fruit and vegetables to osmotic dewatering with pre-treatment to obtain new minimally processed food products. The purpose of this study is to optimize the salt curing process with blanching as pretreatment for bitter gourd.

A study was conducted to optimize the blanching and other process factors of salt curing (solution concentration and treatment time) based on mass transfer and quality factors of bitter gourd using response surface methodology. Experimental design was made using central composite rotatable design with different time of blanching, solution concentration and treatment time. The colour, firmness, water activity and other mass transfer kinetic parameters were used for optimization.

Blanching had significant effect (p < 0.001) on water loss (WL), weight reduction (WR), solid gain (SG), water activity and firmness of bitter gourd. Mass transfer kinetic parameters like WL, SG and normalized solid content increased and normalized moisture content was found to decrease with increase in solution concentration and curing time. Relationships between process variables and quality factors were established in either quadratic or linear form with higher R² values. A 15 per cent solution concentration for the period of 5 h with the blanched samples at 800°C for 5.26 min was found to be the optimum condition for osmotic dehydration to achieve maximum WL and SG, minimum water activity and minimum changes in firmness.

The optimized combinations for the salt curing process would be more helpful for the processors and other stakeholders involved in the pickling process by reducing energy and other input resources.

Mostly in India, the pickling process is carried out at micro- and small-scale level and in an unorganized way. This study would help those involved to reduce their input resources and to organize the process, thus leading to more dividends to the stakeholders and optimum price to the end-users. For the medium- and large-scale processing units, this study would give insight to automate the whole process in an efficient manner.

This study was performed using sophisticated and higher-end instruments. The data were observed meticulously and analysed with proper statistical tools, increasing the credibility of the study. This study gives concrete results which are directly useful to the stakeholders.

Rapid technological advancements and the ever-increasing demand for Internet and social networking sites worldwide have increased the opportunity for extensive use and misuse of these platforms. Research and practice have typically focused on the brighter side of social networking sites due to the adoption of EHRM (Electronic Human Resource Management). However, less is known about the dark side of EHRM, especially the drawbacks associated with the use of social networking (SNs) platforms in organisations. In addition, most of such studies have primarily involved the western country context, and in an emerging country scenario, these kinds of studies are limited. Hence, the study aims to investigate the complexities of the use of SNs as an e-HRM strategy in organisations in an emerging country context.

Drawing on 26 in-depth interviews of HR practitioners and analysing their narratives surrounding employees' use of social networking (both enterprise social networks [ESNs] and social networking sites [SNSs]), this study illuminates the dark or the adverse side of EHRM. Specifically, it focuses on the link between employees' deviant workplace behaviour and their usage of social networking (SN) platforms in organisations (i.e. SNs at workplaces influencing employee's unethical behaviour at work).

The empirical findings reveal the subtle intentional and unintentional indulgence of employees via SNs in various types of deviant behaviours such as sharing confidential information, bullying, harassment, breaching colleagues' privacy, etc., at the workplace in the emerging market context of India. Utilising the social networking perspective and the 4Ps of deviant theory, this article describes deviance behaviours in detail and explains the inadvertent complexities of leveraging SNs as an EHRM tool at the workplace. These insights then provide a starting point for discussing the theoretical and managerial implications of the research findings.

Derived from the current research, this model offers an integrative frame-work for understanding DWBs in SNs platforms in general. This also shows that use of SNs at workplace often leads the employee engaging in non-productive activity. Hence future studies can explore the application of this framework in organizations in detail, thus further highlighting the usefulness of EHRM to understand the employee behaviours at the workplace by the organisations.

The research offers several managerial implications concerning the use of SNs as EHRM strategy at the workplace, which is perceived as a global challenge nowadays. Primarily it offers suggestions for the social media professionals and HR practitioners regarding the use of SNs in organisations.

The study's findings highlight the complex process that explains how SNs as an EHRM strategy affect employee deviance behaviours in the workplace. Till date, no known study has considered the possible effect of SNs on deviance behavior at the workplace in an emerging country context.

Nature and occurrence of food-borne pathogens in raw and processed food products evolved greatly in the past few years due to new modes of transmission and resistance build-up against sundry micro-/macro-environmental conditions. Assurance of food health and safety thus gained immense importance, for which bio-sensing technology proved very promising in the detection and quantification of food-borne pathogens. Considering the importance, different studies have been performed, and different biosensors have been developed. This study aims to summarize the different biosensors used for the deduction of food-borne pathogens.

The present review highlights different biosensors developed apropos to food matrices, factors governing their selection, their potential and applicability. The paper discusses some related key challenges and constraints and also focuses on the needs and future research prospects in this field.

The shift in consumers’ and industries’ perceptions directed the further approach to achieve portable, user and environmental friendly biosensing techniques. Despite of these developments, it was still observed that the comparison among the different biosensors and their categories proved tedious on a single platform; since the food matrices tested, pathogen detected or diagnosed, time of detection, etc., varied greatly and very few products have been commercially launched. Conclusively, a challenge lies in front of food scientists and researchers to maintain pace and develop techniques for efficiently catering to the needs of the food industry.

Biosensors deduction limit varied with the food matrix, type of organism, material of biosensors’ surface, etc. The food matrix itself consists of complex substances, and various types of food are available in nature. Considering the diversity of food there is a need to develop a universal biosensor that can be used for all the food matrices for a pathogen. Further research is needed to develop a pathogen-specific biosensor that can be used for all the food products that may have accuracy to eliminate the traditional method of deduction.

The present paper summarized and categorized the different types of biosensors developed for food-borne pathogens.

The learning outcomes of this case are in understanding core concepts of brand management and brand dilution. Assessment of macro-economic risks and proper positioning strategies are the key take-away from this case. The case gives an understanding of how brands are built and positioned, and the pitfalls of poor brand planning and assessment that could lead to brand dilution. The case is useful for highlighting the importance of brand management and the challenges of re-positioning. The discussions would shed light on why it is important to plan and manage spending on marketing for brand building activities, and why brands would suffer when spending is reduced. This case is a teaching case and not a research case. It will help participants assimilate available information in combination with existing academic theories and publications to help develop an accurate assessment and prognosis of the events leading until the point of slicing the case.

Reid & Taylor in 2015 had been reduced to a discounter brand offering extended end-of-season sales when most other competitors have ended their promotions. In the 17 years since its big-budget launch in the Indian market in one of the most memorable brand introductions, Reid & Taylor changed its ambassador twice and repositioned itself thrice. The case would allow participants to delve deeper into aspects of marketing spending, brand management, positioning and advertising effectiveness. The case brings to the fore discussions on marketing, specifically on branding, positioning and its related advertising in the textile sector for a brand that has not been studied in academic literature until the present time. The discussion allows for novelty, involving both forward- and backward-looking assessments and evaluations to help participants better imbibe learnings in brand management and positioning.

The case is suitable for a graduate-level (Master’s level) course in marketing and brand management. This case is suitable for elective courses that discuss positioning and brands.

Teaching notes are available for educators only.

CSS 8: Marketing