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Shopping motivation has been extensively explored in traditional marketing context but less in online shopping. Utilitarian attribute of online shopping is one of the success factors of e-retailing. The purpose of this paper is to explore the utilitarian shopping motivation in online shopping and validate these factors through confirmatory factor analysis (CFA) in the Indian context.

The data were collected from the 183 regular online shoppers. The collected data were analysed through exploratory factor analysis and CFA using Amos 22 version.

This paper explored the utilitarian shopping motivation of online shopping into five factors, i.e. information availability, accessibility, searchability, product availability and convenience.

The research is conducted on online shoppers to measure their utilitarian motives of shopping online. Further research may be conducted to investigate other motives of online shopping. The sample is taken from Central India which is not enough to generalise the findings. Research may be conducted in other regions and on different segment of respondents to know the impact of geographical variance on utilitarian perspectives of online shoppers.

This paper addresses a significant input in online retailing platform, and it will contribute to the theory of shopping motivations in online shopping context and provide valuable inputs for developing online marketing strategies. The findings of the study also aid to retail practitioners in analysing retailing’s current transformation due to digitalization.

The purpose of this study is to identify distinct segments of apparel shoppers based on their fashion shopping orientation. The difference among the segments based on mall attractive dimension is also examined.

The data were collected through mall intercept survey from the mall shoppers. Samples of 375 respondents are used for data analysis purpose. Exploratory factor analysis is used to extract the factors of fashion shopping orientation and mall attractive dimensions while K-means cluster analysis is applied to identify the segments.

This study resulted in three factors of fashion orientation of apparel shoppers, i.e. fashion involvement, variety seeking and economic value, and four factors of mall attractive dimensions: convenience, entertainment, atmosphere and architecture design. Based on these factors, this study came out with three distinct segments of fashion shoppers: pragmatic shoppers, variety seeking shoppers and highly fashioned shoppers. These three segments are attracted towards the mall dimension differently.

This paper presents the three distinct profiles of fashion shoppers based on their fashion shopping orientation and mall attractive dimensions. The findings of this study may help retailers and mall developers to target mall visitors appropriately.

The present study examines the dimensions that are meaningful to define the perceived authenticity of online-only brands (OOBs) (i.e. retail brands that trade exclusively online) from a consumer's perspective. Past frameworks of perceived authenticity exist in the branding literature but consistently focus on contexts beyond e-commerce settings like OOBs.

We employed a mixed-method research design, consisting of quasi-qualitative and quantitative studies with online customers, to establish the dimensions meaningful for the perceived authenticity of OOBs. Our work has theory testing and building components.

We identify five dimensions that are meaningful to define consumers' perceived authenticity of OOBs. They are “honesty”, “connection”, “continuity”, “craftsmanship” and “accessibility”. Representing by multiple factors, “craftsmanship” serves as the most meaningful dimension followed by “accessibility”. Often being considered incompatible with perceived authenticity, we find accessibility particularly relevant to the context of OOBs. It describes the “convenient” and “affordable” aspects of OOBs, which typically serve as unique selling propositions.

Our work confirms the utility of established dimensions to define consumers' perceived authenticity of OOBs. This highlights that consumers hold some consistent authenticity image between non-online and online brands. Our work also reveals the accessibility dimension being neglected by the branding literature, suggesting a more up-to-date perspective is needed when studying consumers' perceived authenticity of OOBs.

The paper aims to develop an efficient and compact hybrid S-curve-PSO (particle swarm optimization) controller for the optimal trajectory planning of industrial robots in the presence of obstacles, especially those used in pick-and-place operations.

The proposed methodology comprises a monotonic trajectory through bounded entropy of speed, velocity, acceleration and jerk. Thus, the robot’s trajectory planning corresponds with S-curve-PSO duality. This is achieved by dual navigation with minimal computational complexity. The matrix algebra-based computational complexity transforms the trajectory from random to compact. The linear programming problem represents the proposed robot in Euclidean space, and its optimal solution sets the corresponding optimal trajectory.

The proposed work ensures the efficient trajectory planning of the industrial robot in the presence of obstacles with optimized path length and time. The real-time and simulation analysis of the robot is presented for performance measurement, and their outcomes demonstrate a good correlation. Compared with the existing controller, it gives a noteworthy improvement in performance.

The novel S-curve-PSO hybrid approach is presented here, along with the LIDAR sensors, which generate the environment map and detect obstacles for autonomous trajectory planning. Based on the sensory information, the proposed approach generates the optimal trajectory by avoiding obstacles and minimizing the travel time, jerk, velocity and acceleration. The hybrid S-curve-PSO approach for optimal trajectory planning of the industrial robot in the presence of obstacles has not been presented by any researchers. This method considers the robot’s kinematics as well as its dynamics. The implementation of the PSO makes it computationally superior and faster. The selection of best-fit parameters by PSO assures the optimized trajectory in the presence of obstacles and uncertainty.

Globalisation is generally defined as the “denationalisation of clusters of political, economic, and social activities” that destabilize the ability of the sovereign State to control activities on its territory, due to the rising need to find solutions for universal problems, like the pollution of the environment, on an international level. Globalisation is a complex, forceful legal and social process that take place within an integrated whole with out regard to geographical boundaries. Globalisation thus differs from international activities, which arise between and among States, and it differs from multinational activities that occur in more than one nation‐State. This does not mean that countries are not involved in the sociolegal dynamics that those transboundary process trigger. In a sense, the movements triggered by global processes promote greater economic interdependence among countries. Globalisation can be traced back to the depression preceding World War II and globalisation at that time included spreading of the capitalist economic system as a means of getting access to extended markets. The first step was to create sufficient export surplus to maintain full employment in the capitalist world and secondly establishing a globalized economy where the planet would be united in peace and wealth. The idea of interdependence among quite separate and distinct countries is a very important part of talks on globalisation and a significant side of today’s global political economy.

The primary learning objectives/outcome of case discussion is to apply design thinking principles to design innovative and socially responsible strategies that promote financial sustainability for organizations serving unique societal needs. The secondary learning objectives/outcome of case discussion is to gain a deeper appreciation for the potential social impact of their innovative ideas and understand the complexities and ethical considerations in social entrepreneurship, especially when working with individuals with special needs.

The case study describes the challenge facing Anil Kumar Kundra, the founder and trustee of Autism Ashram and Autism Guardian Village in Hyderabad and Gujarat, an organization that provides shelter and care for individuals with autism and residential facilities for their parents. Autistic individuals often lack social skills and may face challenges in reading, writing and communicating. In addition, they may experience behavioral issues, making it difficult for them to obtain employment or run their own ventures, resulting in a lifetime financial dependency on their guardians. In August 2023, Kundra, in pursuit of sustainability, aims to empower autistic individuals in the ashram to attain financial independence. He envisions Autism Ashrama as a self-sustaining entity, no longer dependent on contributions from parents. The dilemma facing Kundra is the need to identify innovative ideas that will enable these autistic individuals to contribute to revenue generation. The challenges faced by autistic individuals in their day-to-day lives make Kundra’s decision-making complex. While he acknowledges the challenge, he firmly believes that a handful of transformative ideas can bring about a revolutionary shift in the ecosystem for autistic individuals, rendering this business model truly sustainable. The case study invites students to help Kundra identify innovative ideas using design idea techniques, such as the Stanford d.school model.

This take-home assignment is suitable for both undergraduate and postgraduate students and is designed to explore the integration of sustainable business practices and design thinking in a real-world context.

Teaching notes are available for educators only.

CSS 7: Management science.

The study aims to highlight the barriers faced by the entrepreneurs toward achieving sustainability in business and innovation cultivation by offering solutions for academicians, practitioners and policymakers. The study uses the resource-based view (RBV) theory to discuss how an organization’s resources and capabilities influence the competitive ambience and barriers faced by entrepreneurs.

The present research uses grey-causal modelling (GSC) to analyse the barriers against successful entrepreneurship.

The research focuses on the usefulness of dynamic capabilities, managing and cooperating resources in the entrepreneurship setting. The paper highlights the importance of resource gathering and nurturing as a method to combat scarcity. This research further identifies that financial limitations, regulatory obstacles, challenges to sourcing qualified labour, poor infrastructure and technology, limited mentorship opportunities, lack of scalability, low initial cost barriers in product development and risk-averse attitudes are the major factors hindering entrepreneurs from obtaining sustainable business and innovation.

The contribution of this research to the literature is that it assesses RBV theory within the realm of entrepreneurship, providing a different perspective on resources and capabilities as well as the challenges faced by entrepreneurs. The systematic approach to the analysis and prioritization of various barriers is innovative, and it adds knowledge in this area.

This case can be used in courses on strategic management for second year masters’ level management students (with a focus on strategic analysis of internet-based business models in India) and entrepreneurship (with a focus on business growth). The primary focus of the case is how an internet-based business model in the food industry took shape.

The case enumerates how strategic analysis can be performed to analyze the firm based on topics such as the analysis of the mission and vision of Holachef based on the Ashridge mission model, examining strategy with Mintzberg’s 5Ps of strategy, performing a PESTLE analysis of HolaChef, evaluating Holachef with Porter’s industry analysis, performing Value net analysis for Holachef, examining Holachef’s business with strategy group analysis, examining the roots of core competencies of Holachef and explaining Holachef’s resource and capabilities with the valuable, rare, inimitable, non-substitutable (VRIN) Framework.

Saurabh Saxena and Anil Gelra co-founded Holachef, “a restaurant in cloud” in March 2014. In a city like Mumbai, there are many households where both partners work; this had led to difficulties for people finding time to prepare food at home. Holachef is an online delivery platform which aggregates chefs for home-like multiple cuisine preparation. Holachef’s vision is to satisfy the need for homemade healthy food. The three pillars of Holachef to provide such food are technology (orders are taken through a website, mobile application and phone calls), food (enlisted chefs on the website) and logistics. The food prepared by chefs is assembled at different distribution centres and routed to customers. The efficient logistics and storage system maintain the quality of food. These pillars help Holachef to serve customers with efficiency at affordable prices.

Performing strategic analysis from both an industrial organization theory and resource-based view (RBV) perspective with VRIN framework. This is in the context of online business models in a digitizing India. Entrepreneurial strategy concepts and challenges faced by entrepreneurs in an online business.

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.

In 2010, Hero Honda (HH), the largest global two-wheeler manufacturing company (based on unit sales), terminated its 26 year old JV with Honda, effective 2014. In August 2011, HH, rebranded itself as “Hero”, with a nationwide campaign across media; over three months, the campaign was rolled out on 30 TV channels, leading websites, 200 radio stations, and 4, 000 cinema halls. Signages were changed in 4, 500 touchpoints over a weekend. The case documents the market and brand position of HH and its principal competitors, Bajaj and Honda in India, the rationale for ending the JV, the rebranding requirements, and the actions taken. Pedagogically, we evaluate the rebranding effort to sustain, create, and build consumer memories and emotions.

Land value in urban areas in India is influenced by regulations, bylaws and the amenities associated with them. Planning interventions play a significant role in enhancing the quality of the neighbourhood, thereby resulting in a change in its value. Land is a distinct commodity due to its fixed location, and planning interventions are also specific to certain locations. Consequently, the factors influencing land value will vary across different areas. While recent literature has explored some determinants of land value individually, conducting a comprehensive study specific to each location would be more beneficial for making informed policy decisions. Therefore, this article aims to examine and identify the critical factors that impact the value of residential land in the National Capital Territory of Delhi, India.

The study employed a combination of semi-structured and structured interview methods to construct a Relative Importance Index (RII) and ascertain the critical determinants affecting residential land value. A sample of 36 experts, comprising property valuers, urban planners and real estate professionals operating within the National Capital Territory of Delhi, India, were selected using snowball sampling techniques. Subsequently, rank correlation and ANOVA methods were employed to evaluate the obtained results.

Location and stage of urban development are the most critical determinants in determining residential land values in the National Capital Territory of Delhi, India. The study identifies a total of 13 critical determinants.

A scenario planning approach can be developed to achieve an equitable distribution of values and land use entropy. A land value assessment model can also be developed to assist professional valuers.

There has been a lack of emphasis on assessing the impact of planning interventions and territorial regulation on land values in the context of Delhi. This study will contribute to policy decision-making by developing a rank list of planning-based determinants of land value.