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To find the quasi-static thermoelastic stress and displacement, the proposed model looks at how the microstructures interact with each other and how the temperature changes inside a rod. It uses the fractional-order dual-phase-lag (FODPL) theory to derive analytical solutions for one-dimensional problems in nonsimple media within the MDD framework. The dimensionless equations are used to analyze a finite rod experiencing the heat sources continuously distributed over a finite portion of the rod which vary with time according to the ramp-type function with other sectional heat supplies kept at zero temperature. The study introduces a technique using integral transforms for exact solutions in the Laplace transform domain for different kernel functions.

A novel mathematical model incorporating dual-phase-lags, two-temperatures and Riesz space-fractional operators via memory-dependent derivatives has been established to analyze the effects of thermal stress and displacement in a finite rod. The model takes into account the continuous distribution of heat sources over a finite portion of the rod and their time variation according to the ramp-type function. It incorporates the finite Riesz fractional derivative in two-temperature thermoelasticity with dual-phase-lags via memory effect, and its solution is obtained using Laplace transform with respect to time and sine-Fourier transform with respect to spatial coordinates defined over finite domains.

In memory-dependent derivatives, thermal field variables are strongly influenced by the phase-lag heat flux and temperature gradient. The non-Fourier effects of memory-dependent derivatives substantially impact the distribution and history of the thermal field response, and energy dissipation may result in a reduction in temperature without heat transfer. The temperature, displacement and stress profile exhibit a reduced magnitude with the MDD effect compared to when the memory effect is absent (without MDD). To advance future research, a new categorization system for materials based on memory-dependent derivative parameters, in accordance with the principles of two-temperature thermoelasticity theory, must be constructed.

The one-dimensional assumption introduces limitations. For example, local heating of a one-dimensional plate will not extend radially, and heating one side will not heat the surrounding sides. Furthermore, while estimating heat transfer, object shape limits may apply.

This paper aims to revise the classical Fourier law of heat conduction and develop analytical solutions for one-dimensional problems using fractional-order dual-phase-lag (FODPL) theory in nonsimple media in the context of MDD.

The influence of the temperature discrepancy parameter and higher order of the time-derivative is discussed. Classical coupled and generalized hygrothermoelasticity models are recovered by considering the various special cases and illustrated graphically.

The theory of integral transformations has been used to study a new hygrothermal model that includes higher-order time derivatives with three-phase-lags and memory-dependent derivatives (MDD). This model considers the microscopic structure’s influence on a non-simple hygrothermoelastic infinitely long cylinder. The generalized Fourier and Fick’s law was adopted to derive the linearly coupled partial differential equations with higher-order time-differential with the two-phase lag model, including memory-dependent derivatives for the hygrothermal field. The investigation of microstructural interactions and the subsequent hygrothermal change has been undertaken as a result of the delay time and relaxation time translations.

These two-phase-lag models are also practically applicable in modeling nanoscale heat and moisture transport problems applied to almost all important devices. This work will enable future investigators to gain insight into non-simple hygrothermoelasticity with different phase delays of higher order in detail.

To the best of my knowledge, and after completing an intensive search of the relevant literature, the author could not learn any published research that presents a general solution for a higher-order time-fractional three-phase-lag hygrothermoelastic infinite circular cylinder with memory memory-dependent derivative.

The learning outcomes of this case study are to understand the business model canvas and value propositions and apply advanced business innovation tools in electric vehicle business models; evaluate the current cargo vehicle scenarios at national and global levels and draw out the possibilities and costs for a new player; extrapolate the future scenario of the cargo economy, its electrification and positioning in a business-to-business (B2B) and business-to-customer (B2C) segment, especially for a developing economy; and improve the student’s ability to get organisational buy-in and execute new business models.

LoadExx is a fully electrified electric cargo service focusing on logistics in Kolkata, a metropolitan city in the eastern part of the country. The service of LoadExx commenced in January 2021 in the B2B segment after overcoming its then issues of driver hesitancy and customer anxiety and financial issues to adopt electrified cargo systems. The conundrum faced by LoadExx in its commencement thus had been solved under the able guidance of its owner Amit Arora. The case study was positioned four months after the commencement of LoadExx. To gain market power and traction, Arora and his team came up with the idea of market expansion. However, the current conundrum was whether LoadExx would enter the B2C segment in its current location or expand with the same business model to other parts of the country. The expansion was to be implemented in the immediate future to retain its rarity and reduce the imitability of the business model of LoadExx. This case study details the logistics and market operations of the cargo sector, especially electric cargo, in a developing economy, especially India. A teaching note supplementing the “Cracking the conundrum of e-cargo logistics: curious case of LoadExx” case study has been provided.

This case study is designed for undergraduate and postgraduate students and senior management professionals in executive education programmes undertaking courses in logistics management and supply chain operations and related cargo logistics courses. This case study denotes integrating key processes from end-users and gaining the trust of drivers, thereby showing the perspective of the plight and conundrums of a cargo aggregator working in the B2C segment. This case study could be used to discuss concepts related to not-for-profit firms, aggregators, policymakers and think tanks.

Teaching notes are available for educators only.

CSS 9: Operations and logistics.

The case focuses on Thivra Info Solutions Pvt Ltd, an entrepreneurial organization incubated by Prasannan (she/her) in 2017. The organization started with a mission to provide technology-based learning solutions for children diagnosed with autism spectrum disorder (ASD). Thivra Info Solutions Pvt Ltd had developed multiple offerings, including gamified learning, targeted to ASD and general ed-tech users. The firm also launched “Dwani,” the communicative-based learning app for ASD children. The initial feedback by users, parents and teachers had been encouraging. Prasannan was exploring avenues to scale the business when the Covid-19 pandemic affected all the operations.The case presents the multiple dilemmas entrepreneurial firms face in managing resources, finances, growth and product and customer focus. Students are encouraged to debate the organization strategy, product and consumer target segments and solutions to scale the business while managing frugal resources.

This case study can be used in entrepreneurship, leadership, crisis management, business development, organizational behavior and technology.

The case study describes the navigation of Thivra from a Generic Gamified App to its niche of catering for ASD students. The case presents the challenges presented to leadership to manage the crisis and try to grow their entrepreneurial venture. This case has been designed for use in business-to-consumer marketing or entrepreneurship, gender entrepreneurship, ed-tech-based startups, in MBA, executive MBA or executive education programs in the field. The case is suitable for those doing business in Asia, for post-graduate and under-graduate students studying business innovation, entrepreneurship, strategy and marketing. It is also appropriate for courses on gender entrepreneurship; women and crisis management; and product management. The case aims at facilitating classroom discussion on the extension of Indian-based ed-tech startups to ASD children.

Students will also be able to explore the following issues: to study the role played by a business model that withstands the competition over a long period and adopting sustainability; to describe the concept and implications of paradoxical leadership, thereby drawing its impact on business decisions; to analyze how a leader acts in terms of crisis from a startup point of view; to draw the phases and constraints of the enterprise development and compare and contrast it based on gender; to demonstrate the value to different constituents (ASD students, parents, teachers and ASD counselors) by understanding their differentiated needs and developing powerful value propositions for each. Articulating and demonstrating this value is key to gaining the buy-in of the various decision-making units; to understand how, having gained traction in one market segment (in this case, tractions with parents of ASD children), a company can develop new market segments; to study the issues and problems faced by startups in developing economies, especially the tech-based ones; and to understand the application of gamification on education and communication for ASD children.

Teaching notes are available for educators only.

CSS 3: Entrepreneurship

After completing the case study, the students will be able to explore, create and capture the dilemmas of a platform strategy; compare, contrast and configure strategies for successful platform adoption; develop fitting configurations for marketplace design; and use temple framework to evaluate the dilemma of the element of time (do it sooner, delay for later or dismiss forever) in launching a new marketplace.

Shoppre was a parcel-forwarding firm established in 2017. In a short period, Shoppre turned out to be one of the best parcel forwarding and cross-border commerce companies in India, thanks to the first-mover advantage it enjoyed. Shoppre had offerings of shopping and shipping of cross-border e-commerce. As a new firm looking forward to increasing its market power, Shoppre faced the dilemma of whether to launch the marketplace, and if yes, whether to do it soon or delay it for the future. There was also confusion in the marketplace’s design and implementation. Nikkitha Shankar’s (she/her) worry was that if Shoppre did not decide quickly on this, there would be possible crises in managing the partners and their financial performance. Shankar was brainstorming the issues with the founding partner and was gauging the dimensions. This case study presented new marketplaces’ dilemmas along with managing sellers, customers, markets, finance, logistics and digital transformation.

The case study is suitable for undergraduate- and graduate-level students pursuing courses in business programmes and senior management professionals participating in executive education programmes. The case study will also fit well for courses such as the “Platform strategy: building and thriving in a vibrant ecosystem” course [1], digital business models [2] and digital business strategy [3].

Teaching notes are available for educators only.

CSS 11: Strategy.

The progress of a nation is quite closely linked with the quality of education it offers its citizens. The onus of nurturing future leaders, the students, lies significantly with higher educational institutions (HEIs) and the academic staff associated with such institutions. Therefore, HEIs need so that these engaged employees may go on to look beyond regular extrinsic motivators to ensure employee engagement to mentor students effectively. In this study, we attempted to investigate the influence of an important predictor of employee engagement, leadership, specifically servant leadership style mediated through job satisfaction. A structured questionnaire was administered to the academic staff of the top 25 universities in India. The data collected and the proposed hypotheses were tested using structural equation modeling. The results confirmed that job satisfaction mediates the relationship between servant leadership and work engagement. The study offers insights into the importance of servant leadership to foster employee engagement and thereby institutional effectiveness in the educational sector.

This research study proposes a feature-centric spam email detection model (FSEDM) based on content, sentiment, semantic, user and spam-lexicon features set. The purpose of this study is to exploit the role of sentiment features along with other proposed features to evaluate the classification accuracy of machine learning algorithms for spam email detection.

Existing studies primarily exploits content-based feature engineering approach; however, a limited number of features is considered. In this regard, this research study proposed a feature-centric framework (FSEDM) based on existing and novel features of email data set, which are extracted after pre-processing. Afterwards, diverse supervised learning techniques are applied on the proposed features in conjunction with feature selection techniques such as information gain, gain ratio and Relief-F to rank most prominent features and classify the emails into spam or ham (not spam).

Analysis and experimental results indicated that the proposed model with sentiment analysis is competitive approach for spam email detection. Using the proposed model, deep neural network applied with sentiment features outperformed other classifiers in terms of classification accuracy up to 97.2%.

This research is novel in this regard that no previous research focuses on sentiment analysis in conjunction with other email features for detection of spam emails.

The purpose of this paper is to propose a practical framework to measure the safety performance of workers in the Indian construction industry. The key safety performance indicators are identified and ordered on the premise that the higher order assignment of an indicator implies a strong indication of an effective safety performance.

Various indicators of safety performance in the construction industry were identified from extant literature review combined with author's personal viewpoint. The identified variables were inquired for appropriateness for the Indian construction scenario by consultation with experts. Fuzzy Technique for order preference by similarity to ideal solution (TOPSIS) technique was considered for the ranking of the indicators from most to least important.

The most important highlight of the study was the importance of the role of management by participating in informing workers about the safety rules and compliance toward safety measures. Proper and timely safety training to the workers and equipping them with sophisticated safety equipment for daily activities is perceived to be highly important in ensuring a safe and healthy workplace environment. Controlling the absenteeism rate reduces the burden of extra work on the employees, thereby, encouraging safe work-related behavior.

Senior management should make safety induction programs compulsory at the time of joining of the employees. The guidelines for safety practices, rules and information about the safety equipment should be properly documented and arranged in safety manuals. Periodical drills involving visual demonstration of the safety practices should be followed to ensure safety at workplace.

The promulgation of group purchasing organizations (GPOs) into the healthcare (HC) sector is an invaluable procurement strategy to manage the suppliers effectively. This study aims to identify and prioritize the factors of integrating GPOs into the HC sector on the perspectives of the developing countries such as India.

The factors are identified from current literature exploration, experts’ support and experience surveys. The factors are scrutinized and shortlisted using the Delphi technique and analysed further using the best-worst model method.

The findings of the study highlight the cost reduction, fair distribution of savings and healthcare supply chain (HCSC) data standardization among others to be the most prioritized drivers. The consulting services provided by GPOs including training and development as a result of high competitiveness in the HC market has been prioritized the least.

The study bears some important implications for decision and policymakers. The managers should consider factors, namely, cost reduction, fair distribution of savings and HCSC data standardization on a priority basis that acts as motivation for the HC providers to join the GPOs.

The study provides valuable insights for HC providers to participate in the GPOs for cost savings and enhance the performances.