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A large number of organisations are moving towards adopting Industry 4.0 (I4.0), and simultaneously, the emphasis on attaining sustainability development goals is also increasing. Hence, it is imperative to understand the interplay between I4.0 and sustainability. However, the literature addressing the same is still in infancy. Accordingly, the purpose of this study is to fill this gap in the literature by exploring the potential sustainability impacts of I4.0 on the organisations and society in terms of sustainability risks.

To gain an understanding of sustainability aspects in the I4.0 context, relevant literature is gathered using Scopus and Web-of-Science database. An in-depth review of 51 research papers is performed to determine the sustainability risks associated with I4.0.

From the study, a total of 16 sustainability risks are identified, and I4.0 sustainability risk taxonomy is developed. The proposed taxonomy extends the sustainability implications of I4.0 beyond the triple bottom line umbrella and includes the organisational perspective as well. Furthermore, the study provides future research avenues to scholars by positing five potential research questions under different risk management stages.

The study provides an understanding of sustainability risks associated with the adoption of I4.0. The findings will help practitioners streamline their production and operation processes by finding out possible solution to the sustainability risks of their smart factories in advance. The present research will act as a stepping stone towards I4.0 sustainability. The proposed research questions will assist the future researchers in extending the field of I4.0.

To the best of the authors’ knowledge, this is one of the first studies to address the topic of sustainability risks in the context of I4.0.

An electrorheological (ER) fluid comprises dielectric particles suspended in an insulating viscous medium. ER lubricants are considered smart lubricants. They have been applied in hydraulic valves, power transmission devices and damping systems. The purpose of this study is to investigate the performance of hydrostatic thrust bearing operating with ER lubricant.

Reynold’s equation was used to model the flow of the ER lubricant in the bearing. The continuous Bingham model was used to express the viscosity of the ER lubricant as a function of yielding stress, applied electric field and shear strain rate. The Reynolds equation is solved using the finite element method (weighted residual approach) to compute the film pressure as a primary variable and the lubricant flow rate, load-carrying capacity, stiffness and damping parameters as associated performance indices.

The effects of the pocket shape, compensating elements and ER lubricant on the bearing performance were investigated. The application of ER lubricant significantly enhanced the load-carrying capacity (48.2%), stiffness (49.8%) and damping (4.95%) of the bearings. Circular and triangular pocket bearings with constant-flow valves have been reported to provide better steady-state and rotor-dynamic performances, respectively.

This study presents the effect of an ER lubricant on the rotor-dynamic performance of hydrostatic thrust bearings with different pocket shapes.

A sustainable freight transportation system involves freight processes that are economically efficient, socially inclusive and environment friendly. For enhancing sustainability in the freight operations, mode selection is a crucial strategic decision. Therefore, the purpose of this paper is selecting the best mode, or a combination of modes based on various criteria to carry shipments from origin to destination.

This study has used an integrated grey relational analysis based intuitionistic fuzzy multi-criteria decision-making process (GRA–IFP) and fuzzy multi-objective linear programming model. Three scenarios have been developed for analyzing sensitivity of decision variables with the variations in parameters under relevant conditions. A real case of Indian third-party logistics service provider has been used to demonstrate the effectiveness of the model.

The most relevant criterion emerged out in this study for multi-mode selection problem is costs. It can be concluded from the study that multi-modal freight transportation has the potential to improve the sustainability of freight transportation by reducing the costs, damages, emissions, traffic congestion and by increasing the speed of delivering the shipment. The sensitivity analysis further shows that road is the economical mode, whereas sea and rail together are the greenest as well as socially responsible modes of transportation.

This study provides an integrated tool, which can be used by freight transporters to decide upon the sustainable modes of transportation for their various shipments.

The purpose of this paper is to explore the key role of WhatsApp as WhatsApp-customer relationship management (w-CRM) for strengthening the relationship in the education sector. The paper is exploratory in nature.

A self-administered questionnaire was developed with 20 items for four latent constructs. The data were collected from the undergraduate and postgraduate students of Sri Sri University, Cuttack (Odisha), India, based on convenience sampling. The hypotheses were tested through regression and correlation analyzes.

The findings of the study unveiled that the relationships between students and teaching staff, students and non-teaching staff, and teaching and non-teaching staff can be strengthened by the adoption of w-CRM.

WhatsApp can be an inevitable tool to emerge with traditional CRM system to facilitating the advance implementation of w-CRM in the service industry.

Although the present study is limited to one of the service sectors, i.e. education, it unfolds the scope of implementation of w-CRM in different services. Especially, small and medium enterprises can implement this tool hand to hand to maintain strong relationships with customers.

The purpose of this paper is to emphasize the peristaltic mechanism of power-law fluid in an elastic porous tube under the influence of slip and convective conditions. The effects of different waveforms on the peristaltic mechanism are taken into account.

The governing equations are rendered dimensionless using the suitable similarity transformations. The analytical solutions are obtained by using the long wavelength and small Reynold’s number approximations. The expressions for velocity, flow rate, temperature and streamlines are obtained and analyzed graphically. Furthermore, an application to flow through an artery is determined by using a tensile expression given by Rubinow and Keller.

The principal findings from the present model are as follows. The axial velocity increases with an expansion in the estimation of velocity slip parameter and fluid behavior index, and it diminishes for a larger value of the porous parameter. The magnitude of temperature diminishes with an expansion in the Biot number. The flux is maximum for trapezoidal wave and minimum for the triangular wave when compared with other considered waveforms. The flow rate in an elastic tube increases with an expansion in the porous parameter, and it diminishes with an increment in the slip parameter. The volume of tapered bolus enhances with increasing values of the porous parameter.

The current study finds the application in designing the heart-lung machine and dialysis machine. The investigation further gives a superior comprehension of the peristaltic system associated with the gastrointestinal tract and the stream of blood in small or microvessels.

Strategy.

MBA.

On 20 May 2016, the Management team at Patanjali Ayurved Limited (PAL), an Indian fast-moving consumer goods (FMCG) company, had assembled in their Haridwar office, India, to discuss their future growth plans. The team was in a celebratory mood, as their internal reports suggested the annual revenue forecasts for the year 2016-2017 to be INR 10bn, an increase of 100 per cent as compared to the previous fiscal year 2015-2016 that recorded annual revenues of INR 5bn. PAL incorporated in 2006 and co-founded by Acharya Balkrishna operated in four business segments of foods, personal care, home care and Ayurved products. The products sold under the brand name Patanjali were single-handedly promoted by Swami Ramdev (hereafter referred as Ramdev), a popular Yoga practitioner and preacher amongst the Indian masses, as well as PAL’s co-founder. Ramdev recommended PAL’s products in his yoga sessions on television and yoga shibirs which had led to huge positive “word-of-mouth” publicity for their brand Patanjali. Their fast-paced growth in less than a decade had generated a disruption in the Indian FMCG sector, resulting in a negative impact on the sales of established multinational corporations (MNCs) such as Colgate-Palmolive, Hindustan Unilever Limited (HUL), ITC Limited (ITC), besides the domestic players such as Dabur India Ltd. and Emami Ltd. This had led their FMCG competitors to launch plans to strengthen their product portfolios so as to provide a tough competition to PAL. The management team at PAL, though confident of achieving their annual revenue targets, were apprehensive of this new competition from the big players of the FMCG sector. Were they capable of continuing their success story? Going forward what strategic steps would ensure them a sustainable growth and a market leader position? The mood turned reflective as the team pondered on some of these questions.

The case is structured to enable discussion on: conducting and understanding a general environment analysis and industry and competitive analysis and critically evaluating the firm’s strategic positioning and scope in a competitive environment.

Teaching Notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

CSS 11: Strategy.

Increased demand for new batteries and strict government protocols have stressed the battery industries to collect and recycle used batteries for economic and environmental benefits. This scenario has forced the battery industries to collect used batteries and establish the formal battery recycling plant (BRP) for effective recycling. The starting of BRP includes several strategic decisions, one of the most critical decisions encountered is to find the best sustainable location for BRP. Hence, this paper aims to address the complexity of the issues faced during the BRP location selection through a hybrid framework.

In this study, the criteria are identified under socio-cultural, technical, environmental, economic and policy and legal (STEEP) dimensions through literature review and experts' opinions. Then, the hybrid methodology integrating fuzzy decision making trial and evaluation laboratory (DEMATEL), best worst method (BWM) and technique for order preference by similarity to an ideal solution (TOPSIS) has been proposed to find the inter-relationship between criteria, the weights of criteria and the best alternative.

The identified five main criteria and 26 sub-criteria have been analyzed through fuzzy DEMATEL, and found that the policy and legal criteria have more inter-relationship with other criteria. Then from BWM results, it is found that the support from government bodies has attained the maximum weightage. Finally, the second alternative has been identified as a more suitable location for establishing BRP using TOPSIS. Further, it is found from the results that the support from government bodies, the impact of emissions, availability of basic facilities and community health are the essential criteria under STEEP dimensions for establishing BRP.

In addition to the various existing sustainable criteria, this study has also considered a set of policy and legal criteria for the evaluation of locations for BRP. Further, the hybrid MCDM method has been proposed in this study for selecting the best alternative. Thus, this study has yielded more insights to the decision-makers in choosing a sustainable location for BRP.

The present work has proposed and employed an innovative hybrid method based on the combination of factor analysis and an artificial neural network (ANN) model to forecast customer satisfaction from the identified dimensions of service quality in India, a developing country.

The qualitative study is conducted with Internet banking users to understand e-banking clients' perceptions. The data is collected with the help of a questionnaire from randomly selected 208 customers in India. Firstly, factor analysis was performed to determine the influential factors of customer satisfaction, and four factors i.e. efficiency, reliability, security and privacy, and issue and problem handling were extracted accordingly. The neural network model is then applied to the factor scores to validate the key elements. Lastly, the comparative analysis of the actual ANN and the regression predicted result is done.

The success ability of the linear regression model is challenged when approximated to nonlinear problems such as customer satisfaction. It is concluded that the ANN model is a better fit than the linear regression model, and it can recognise the complex connections between the exogenous and endogenous variables. The results also show that reliability, security and privacy are the most influencing factors; however, problem handling and efficiency have the slightest effect on bank client satisfaction.

This research is conducted in India, and the sample is chosen from the urban area. The limitation of the purposeful sampling technique and the cross-sectional nature of the data may hamper the generalisation of the results.

The conclusions from the study will be helpful for policymakers, bankers and academicians. To our knowledge, few studies used ANN modelling to predict customer satisfaction in the service sector

This research investigates the barriers hindering women from pursuing entrepreneurship as a career choice, particularly in the Indian context.

The study employs rigorous data analysis techniques, including Confirmatory Factor Analysis and Multiple Regression Analysis, on a sample of 590 MBA students, comprising both male and female participants.

The findings reveal that social and psychological factors significantly influence women’s decisions regarding entrepreneurship. Social factors such as social stigma and cultural norms, along with psychological factors like societal expectations, emerge as major barriers.

The findings have implications for policymakers, practitioners, and academics in designing interventions to address social and psychological barriers effectively. Recommendations include promoting cultural sensitivity and fostering confidence among women entrepreneurs.

This study contributes to the existing literature by quantifying the specific barriers faced by women entrepreneurs in India. It offers insights into advancing gender equity and inclusive economic development through targeted policies and programs.