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After studying and analyzing this case, students will be able to evaluate the strategic alternatives for growth for a small entrepreneurial business in an emerging market, analyze the trade-offs between maintaining continuity and change in the growth strategy adopted by an organization and synthesize an appropriate growth strategy for managing the trade-off between continuity and change in an organization.

It was late April 2022, and Mohammad Hamza – the founder and marketing head of Engineering & Environmental Solutions (E&E Solutions) – disconnected the call of his sales manager. His mind was fixated on how to craft the strategy for the next phase of the company’s growth. The deadline for their biggest tender was at the end of May 2022. Should he commit all the company’s reserves to this project or pursue global markets? Launched in 2015, E&E Solutions had come a long way from being a start-up with just one product to a full-blown manufacturer and environmental monitoring equipment service provider. Growing pollution and strictness in compliance propelled the demand for environmental monitoring equipment in India, poised to reach $342m by 2025. E&E Solutions leveraged its technological capabilities in Internet of Things and sensors producing low-cost monitoring equipment to gain an edge in an evolving market and bootstrapped its way to almost $5m annual turnover in 2021. However, the last review meeting brought many concerns for the next growth phase. E&E Solutions had so far focused on the domestic market, catering to the demands of private as well as government clients. A significant cause for concern had been the small order size of private players, averaging $2,000 and a lower net margin of 8%. Moreover, the company had been missing out on opportunities to bid for large government contracts owing to stringent bidding credentials required (such as turnover of at least 50%–80% of the project value and previous similar order experience with a range of at least 70% of the project value). Furthermore, the COVID-19 pandemic had stalled their efforts to tap a promising global environmental monitoring market (predicted to be $44bn by 2030). As Hamza and his team sat in their board room for a discussion, they had two alternatives. Either continue focusing on the domestic market, especially the big government contracts (more than $12m order size) or explore the markets in other emerging economies with demand for similar products (such as Middle East and North Africa region) more aggressively. Hamza was, however, wondering if they could do both, for he knew that to qualify for big government contracts, they needed to scale up. He was also getting restless after missing his target of reaching $20m in five years, especially since India’s ecosystem for start-ups and the small business sector had witnessed favorable policies and support from the government. He started pondering how to leverage his organization’s strengths and continuities to achieve the required pace and scale of change. His thoughts wandered around dividing the cash reserves of $500,000 to fuel growth without reducing the R&D budget. After all, R&D has been E&E Solutions’ forte since its inception and has been pivotal in creating its differentiation.

This case study can be used for core strategic management course at the undergraduate and graduate level of management programs. It can also be used in advanced strategy courses like strategic change, entrepreneurship and small business management offered in MBA programs.

Teaching notes are available for educators only.

CSS 11: Strategy

Analyzing and reducing entropy generation is useful for enhancing the thermodynamic performance of engineering systems. This study aims to explore how polymers and nanoparticles in the presence of Lorentz forces influence the fluid behavior and heat transfer characteristics to lessen energy loss and entropy generation.

The dispersion model is initially used to examine the behavior of polymer additives over a magnetized surface. The governing system of partial differential equations (PDEs) is subsequently reduced through the utilization of similarity transformation techniques. Entropy analysis is primarily performed through the implementation of numerical computations on a non-Newtonian polymeric FENE-P model.

The numerical simulations conducted in the presence of Lorentz forces provide significant insights into the consequences of adding polymers to the base fluid. The findings suggest that such an approach minimizes entropy in the flow region. Through the utilization of polymer-MHD (magnetohydrodynamic) interactions, it is feasible to reduce energy loss and improve the efficiency of the system.

This study’s primary motivation and novelty lie in examining the significance of polymer additives as agents that reduce entropy generation on a magnetic surface. The author looks at how nanofluids affect the development of entropy and the loss of irreversibility. To do this, the author uses the Lorentz force, the Soret effect and the Dufour effect to minimize entropy. The findings contribute to fluid mechanics and thermodynamics by providing valuable insights for engineering systems to increase energy efficiency and conserve resources.

The COVID-19 pandemic, starting in early 2020, has significantly compromised global commitment to the 2030 Agenda for Sustainable Development Goals, notably affecting areas like food security (SDG 2) and the economy (SDG 8). Informal economy platform employees have been among the most impacted. In India alone, 7.7 million workers in the informal economy have suffered, with nearly 90% of unskilled and semi-skilled workers experiencing income loss. The widespread income loss among a significant portion of the workforce has led to disruptions in demand and supply mechanisms, thereby worsening food insecurity. This study investigates the determinants of the food consumption score (FCS) to serve as an indicator of food security within informal-economy households. A longitudinal survey of 2,830 unskilled and semi-skilled employees, including drivers, domestic workers, delivery personnel, beauticians, street vendors, small business owners, and self-employed individuals, was conducted. The findings show a significant shift towards borderline household FCS during the pandemic, with a sharp decline in daily consumption of dairy products and non-vegetarian items, indicating reduced protein intake. Consuming two or fewer meals per day increases the likelihood of poor FCS, highlighting the need for systematic interventions to ensure three regular meals per day. Moreover, insufficient government support for adequate food intake in informal economy households calls for redesigned assistance programs. Policymakers should prioritize practical solutions, such as community-based food distribution centers and mobile food vans, to ensure the delivery of nutritious food to vulnerable populations in Bangalore.

Public opinion regarding autonomous vehicles (AV) heavily influences how quickly the technology will be implemented and adopted in the future. However, there is a dearth of empirical evaluations in the literature about riders' perceptions toward service characteristics of shared autonomous vehicles (SAVs) and their attitudes toward developing AVs. Therefore, the aim of this study is to identify attitudes, views and concerns regarding a self-driving demonstration called RAPID (Rideshare, Automation and Payment Integration Demonstration) incorporated with an already-existing on-demand ridesharing service in Arlington, Texas.

This study developed a ridership survey to collect data from those who had experience using the service at least once during the service deployment. As the RAPID service operations were restricted to the areas near the University of Texas at Arlington (UTA) campus, sample population of this study is highly skewed with all participants being affiliated with UTA.

Findings indicated that survey respondents positively perceived the service features, including comfort, boarding the vehicles, ride safety, booking and scheduling, vehicle speed, climate control and service cost. To complement the survey results, the authors conducted interviews and a focus group study and used conventional content analysis to gain more in-depth insights about RAPID service operations from the perspectives of users and non-users in the post-implementation period. The results indicated that geographic accessibility, service availability and trip cost were the primary concerns of the focus group participants.

This study offers critical insights into individual attitudes and perceptions toward shared AVs (SAVs) that will assist local, state and federal transit authorities and planners in formulating policies and transportation strategies to target SAV ridership when the service is more widespread.

This chapter aims to comprehend the challenges of urban mobility in smart cities and the measures to mitigate these challenges. This chapter also tries to study how sustainable mobility can be achieved to improve the quality of life in smart cities. In this direction, this chapter reviews various newspapers, academic reports, travel reports, government portals, government websites and research papers. Results and discussions are then carried out based on such data. So, the sources of data are secondary in nature. This chapter presented an overall comprehensive discussion on urban mobility, its challenges and the measures to combat these challenges. Further, this chapter confirmed that sustainable mobility helps in improving the quality of life. Practically, this chapter offers many implications to urban transport companies, providers, government and policymakers. Urban transport companies, providers, government and policymakers may be able to understand that the path to leading a quality life in today's smart cities lies in sustainable mobility. This chapter is original in the sense that the researchers, to their limited knowledge, could not find a chapter that discusses the challenges posed by smart cities in the form of urban mobility, and that sustainable mobility is the only path to enhance the quality of life by making the environment sustainable.

This study aims to explore and segment consumer preferences for electric and hybrid vehicles in Germany, Sweden, the Netherlands and Turkey, focusing on understanding the various factors that influence consumer decisions in these markets.

Using latent class analysis (LCA) on data collected through online surveys and discrete choice experiments, this research categorizes consumers into distinct segments. The approach allows for a nuanced understanding of how various factors such as income level, fuel cost, age, CO₂ emissions, purchase price, vehicle range, policy policies and environmental concerns interact with shape consumer preferences.

The analysis uncovers significant heterogeneity in consumer preferences for electric and hybrid vehicles across Germany, Sweden, the Netherlands and Turkey, revealing four key segments: “Eco-Driven Innovators,” “Value-Focused Pragmatists,” “Tech-Savvy Early Adopters” and “Reluctant Traditionalists.” “Eco-Driven Innovators” prioritize environmental benefits and are less sensitive to price, demonstrating a strong inclination toward vehicle CO₂ emissions and policy policies. “Value-Focused Pragmatists” weigh economic factors heavily, showing a sharp interest in fuel costs and purchase prices but are open to considering electric and hybrid vehicles if they present clear long-term savings. Technology-savvy early adopters are attracted by the latest technological advancements in vehicles, regardless of the type, and are motivated by factors beyond just environmental concerns or cost savings. Lastly, “Reluctant Traditionalists” exhibit minimal interest in electric and hybrid vehicles due to concerns over charging infrastructure and upfront costs. This detailed segmentation illustrates the diverse motivations and barriers influencing consumer choices, from governmental policies and environmental concerns to individual financial considerations and technological appeal.

This study stands out for its pioneering application of LCA to dissect the complexity of consumer preferences for electric and hybrid vehicles, a methodological approach not widely used in this research domain. Using LCA, the authors are able to uncover nuanced consumer segments, each with distinct preferences and motivations, providing a depth of insight into market dynamics that traditional analysis methods may overlook. This approach enables a more granular understanding of how diverse factors – ranging from environmental concerns to economic considerations and technological attributes – interact to shape consumer choices in different countries. The findings not only fill a critical gap in the existing literature by mapping the intricate landscape of consumer preferences, but also offer a novel perspective on strategizing market interventions. Therefore, the application of LCA enriches the discourse on sustainable transportation, offering stakeholders, manufacturers, policymakers and researchers – a refined toolkit for navigating the evolving market dynamics and fostering the adoption of electric and hybrid vehicles.

This study aims to determine the current state of research on sustainability in the context of human resource management (HRM) practices adopted by small and medium-sized enterprises (SMEs), identify the most important gaps and propose an agenda for future studies.

Through a systematic literature review (SLR), this study comprehensively examines the relevant literature on sustainability-related aspects of HRM in SMEs. It includes descriptive and thematic analyses of 29 research articles published in high-ranked academic journals selected from 506 records retrieved from four major databases (Scopus, Web of Science, ScienceDirect and EBSCOhost).

The findings suggest a growing interest in sustainability-related HRM in SMEs after 2020. Notably, most studies focused on green and social sustainability concerns, with limited attention to the triple bottom line (TBL) perspective. A detailed examination revealed variations among the three streams of research in terms of methodology, location of studies, nature of sustainability-HRM linkage and placement of HRM practices in research models. Despite these differences, positive effects of HRM practices on sustainability integration seem evident, including impacts on employee competences, behaviors and company-level outcomes.

This article is the first to systematically review the literature on the sustainability-HRM nexus specifically for SMEs. It contributes by identifying thematic clusters, methodological trends, contextual aspects and outcomes of sustainability-HRM integration, thereby laying the groundwork for future research.

The study seeks to explore the intricate dynamics among customer relationship management (CRM) practices, guest satisfaction and loyalty in the hospitality context. Additionally, it aims to examine the moderating influence of guest engagement on the relationships between CRM practices and guest satisfaction and loyalty.

An integrated theoretical framework is developed by incorporating CRM practices and guest engagement into the satisfaction-loyalty framework. Two research instruments were adapted from the literature to assess the perspectives of customers and employees in the hotel industry in Kashmir. The customer survey measured guest satisfaction, loyalty, and engagement, while the employee survey focused on CRM practices, including key customer focus and CRM organization. Data was collected using a pen-and-paper survey with convenience sampling across 10 qualifying hotels, each classified as 3-star or above. A total of 270 matched responses from guests and employees were obtained and analyzed using descriptive analysis, structural equation modeling (SEM), and moderation analysis with SPSS and AMOS software. The study utilized a rigorous data matching process to ensure reliability, with guest-employee pairs verified and cross-checked with hotel records.

The results indicate CRM practices play a pivotal role in shaping guest satisfaction and loyalty. Notably, personalization and a targeted customer approach emerged as the most influential factors in enhancing tourist satisfaction. Similarly, prospecting, personalization, and effective knowledge management significantly contributed to visitor loyalty. The establishment of robust relationships is underscored through collaborative active guest engagement. Furthermore, the study highlights the nuanced relationship between satisfaction and loyalty moderated by guest engagement. High levels of guest engagement amplify the positive impact of satisfaction on loyalty, while lower engagement levels attenuate this effect. Moreover, the moderating influence of guest engagement on the relationships between CRM practices and guest satisfaction and CRM practices and guest loyalty was notably strong at elevated guest engagement levels and relatively weaker at lower engagement levels.

While the study findings encourage organizations to prioritize customer relationship development, hospitality entities must emphasize the adoption of CRM philosophy and robust guest engagement measures. Actively involving guests in co-creating services can yield incremental benefits in terms of attracting, retaining, and effectively serving guests.

This study introduces novel dimensions to the existing CRM framework within the hospitality context, specifically exploring the impact of hotel-specific elements (personalization and prospecting) on customer satisfaction and loyalty. Furthermore, it innovatively investigates the moderating role of guest engagement in the satisfaction-loyalty relationship, expanding its scope to include the relationships between CRM practices and guest satisfaction and guest loyalty.

The adoption and usage of information and communication technology (ICT) has introduced transformation in the tourism arena with ICT applications extensively used in tourism industry. In addition to ICT, an advanced infrastructure is essential for the development of tourism industry. Thus, the goal of present research is to probe the impact of ICT and infrastructure on tourism development (TD) in 28 Asian economies using method of moments panel quantile regression (MM-QR) model introduced by Machado and Silva (2019) applied to a panel data from 2008 to 2020. Empirical findings demonstrate that there is an asymmetric non-linear effect of ICT and infrastructure through all quantile range. This indicates that ICT has negative effect on TD in poor countries while positive impact in rich countries. Negative impact in poor countries may be due to higher establishment cost and information technology (IT) productivity paradox. However, results confirm the importance of ICT and infrastructure in endorsing the development of tourism sector in Asian nations by lessening time and money costs and facilitating travelers.

This study aims to empirically connect green logistics performance, renewable energy, non-renewable energy, CO₂ emissions and gross domestic product in Vietnam from 2000 to 2022.

Within this study, the author uses innovative tools, specifically a R2 decomposed linkage method, to scrutinize the connections between green logistics, environmental issues and the use of green and dirty energy.

The results highlight the two-way relationship between green logistics and energy security in Vietnam. Green logistics plays various roles in diverse periods, from a net shock transmitter to a net shock receiver in the designed system. Using a dynamic and contemporaneous dynamic linkage method, this study emphasizes the change in the role and the dominance of green logistics and renewable energy consumption. Notably, the unexpected shocks also lead to changes in these variables’ roles.

This paper presents two significant contributions to the existing body of literature. Firstly, as previously emphasized, this research marks a pioneering effort to examine the connection between green logistics, environmental issues and the use of green and dirty energy when it comes to developing nations such as Vietnam. Secondly, this research introduces a novel approach to investigating the interconnectedness of volatility across diverse markets, offering a more suitable method for such analyses. Within this study, the author uses innovative tools, specifically an R2 decomposed linkage method, to scrutinize the connections between green logistics, environmental issues and the use of green and dirty energy. In this analysis, the author examined data from 2000 through 2022. A thorough analysis is presented using the data, exploring the connections between the volatilities resulting from various problems in Vietnam.