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The case aims to deal with multigenerational entrepreneurship. The family business of sports goods was initiated by Yashpal Aggarwal and his friends in the 1950s. Yashpal acquired the art of doing business and started initially with trading of sporting goods in Mumbai. Yashpal had three sons, Ashok, Ashwini and Rajesh, who ventured into sports trading business as well. After the demise of Yashpal, Ashok shifted to Jalandhar and started a manufacturing unit, producing roller skates. Ashwini, being entrepreneurial and innovative, had always desired to professionalise the business and hence started with Okini Sports. Okini Sports emerged as the first organised professional sports mall in India.

Based on case research, individual interviews at different levels, testing the case several times and filling the case gaps during the process to authenticate information, multiple sources of information have been used.

Businesses largely compete on the basis of available talent, competency and capability. Family businesses must be open to induct competent people within the family with the required skills to lead the company. If a family nurtures a member with requisite skills, values, to keep shareholders, key customers, and suppliers loyal to the business, then family leadership is the best option. As the business grows in dimension, differential capabilities are required to run the business competitively, hence, inducting talented individuals as professionals is a better option. A family must be realistic about the talents available internally.

This case is restricted to sports family business entrepreneurship in the context of India, but has a great learning towards multigenerational entrepreneurship.

The case is original with the family in its fourth generation, the youngest looking to diversify and professionalize the business, set his family dreams of setting up the biggest sports mall in India.

Social entrepreneurship, Social enterprise.

Masters Programme in Social Entrepreneurship, Social Work, Business Administration; Management Development Programme for Social Entreprenuers.

Organisation for Social Change, Awareness and Responsibility (OSCAR) Foundation is a non-profit organisation registered in 2010 under the Bombay Public Trust Act, 1950. Born and raised in the slum colony of Ambedkar Nagar, Cuffe Parade, Ashok, the founder, grew up seeing his friends becoming a victim to many socially inappropriate behaviours due to dropping out of school. Inspired by the thought of breaking this vicious cycle, Ashok used football as a mechanism to instil essential life skills among children and youth and encouraged them to continue their education. The success of his pilot motivated him to set up OSCAR. Presently, through its various programmes, the organisation has reached out to more than 3,000 marginalised children and 500 youths and aims to reach out to 20,000 children by 2020. The case highlights the struggles of Ashok’s entrepreneurial journey and maps the new challenges in scaling up his enterprise.

The expected learning outcomes are as follows: to identify the characteristics of a social entrepreneur and ascertain the leadership skills required by a social entrepreneur; to scrutinise the life cycle of a social enterprise and develop insights to examine the unique risks and challenges faced at the start-up phase of the social enterprise; and to enhance the understanding of interrelationship between passion, mission focus and challenges to attain financial sustainability for a social venture.

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 3: Entrepreneurship.

Organizational Behavior and Strategic Management.

MBA, Management/Executive development programs.

This case study can be used effectively for understanding the nuances of employee loyalty, especially if there is a cost of employee loyalty. While Anand Finance is happy that its workforce has largely been loyal, the volatile, uncertain, complex and ambiguous times force it to chart new course of action. The newly appointed Business Head, Ashok Singh's challenges compound when he finds that there was not’t a single innovation or best practice adopted over the past three years. Given his mandate to make Anand Finance as the Walmart of financial services, can he aspire to rally the forces behind the new mission? This case study facilitates an interesting discussion on the significance of operational and strategic alignment at organizations in the backdrop of an interesting story of Anand Finance, one of the leading non-banking financial companies (NBFCs) in India. The non-alignment was noticed by Ashok Singh (Singh) who took over as the Business Head of Anand Finance. While the company boasted of long-standing employees, Singh was quick to notice that the company had been paying a cost for employee loyalty. What was the cost of employee loyalty? Singh could also sense that the company was in a state of active inertia. Expected to make Anand Finance Walmart for financial services by 2025, Singh had a big task at hand given the lack of strategic orientation of the employees. What would be the likely course of Singh's actions? As the case study deals with strategic dilemmas related to the organizational culture, it can be suitably used for organizational behavior and strategic management courses. This case study is meant highlight that even if an organization is operationally sound and successful, it cannot afford to be strategically disoriented, as its strengths may prove to be its weaknesses with changing business conditions.

At the end of this case discussion, the participants are expected to know the merits and demerits of employee loyalty and the implications of the same for organizational change; whether employees’ relatively longer stints at companies would contribute to active inertia (as defined by Donald N. Sull in Harvard Business Review article, “Why Good Companies Go Bad”); and the ways to align operational orientation with strategic mindset, especially in the case of employees who rose through the ranks and had been serving the company for relatively longer period.

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

Real-time implementation of sophisticated algorithms on robotic systems demands a rewarding interface between hardware and software components. Individual robot manufacturers have dedicated controllers and languages. However, robot operation would require either the knowledge of additional software or expensive add-on installations for effective communication between the robot controller and the computation software. This paper aims to present a novel method of interfacing the commercial robot controllers with most widely used simulation platform, e.g. MATLAB in real-time with a demonstration of visual predictive controller.

A remote personal computer (PC), running MATLAB, is connected with the IRC5 controller of an ABB robotic arm through the File Transfer Protocol (FTP). FTP server on the IRC5 responds to a request from an FTP client (MATLAB) on a remote computer. MATLAB provides the basic platform for programming and control algorithm development. The controlled output is transferred to the robot controller through Ethernet port as files and, thereby, the proposed scheme ensures connection and control of the robot using the control algorithms developed by the researchers without the additional cost of buying add-on packages or mastering vendor-specific programming languages.

New control strategies and contrivances can be developed with numerous conditions and constraints in simulation platforms. When the results are to be implemented in real-time systems, the proposed method helps to establish a simple, fast and cost-effective communication with commercial robot controllers for validating the real-time performance of the developed control algorithm.

The proposed method is used for real-time implementation of visual servo control with predictive controller, for accurate pick-and-place application with different initial conditions. The same strategy has been proven effective in supervisory control using two cameras and artificial neural network-based visual control of robotic manipulators.

This paper elaborates a real-time example using visual servoing for researchers working with industrial robots, enabling them to understand and explore the possibilities of robot communication.

Chemical processes, employed for manufacturing basic chemicals are highly energy intensive. Due to escalating costs of fossil fuels and capacity addition, the electricity cost has been increasing for the last few decades. Electricity intensive industries find it very difficult to cope up with higher electricity charges particularly with time-of-use (TOU) tariffs implemented by the utilities with the objective of flattening the load curve. Load management programs focusing on reduced electricity use at the time of utility's peak demand, by strategic load shifting, is a viable option for industries to reduce their electricity cost. This paper presents an optimization model and formulation for load management of continuous process industries. The case study of a chemical industry is taken for conducting load management study. The formulation utilizes nonlinear programming technique for minimizing the electricity cost and reducing the peak demand, by rescheduling the loads, satisfying the industry constraints. Development of a generalized graphical user interface (GUI) in Visual Basic for implementing load management actions in industries and testing the GUI with the case study are done. Real time implementation of load management actions using Programmable Logic Controller (PLC) is also investigated.

The purpose of this paper is to describe the results of a study to examine the perception of academic staff on the quality of academic library services. It also attempts to assess the impact of library services on their work and their perceived level of satisfaction towards university library services.

The study was carried out using a survey methodology. The survey instrument was a questionnaire adopted from a quality impact survey based on SERVQUAL dimensions.

Results reveal that academic staff perceive the quality of library services to be just above average. Library staff are considered quite helpful and able to instill confidence in library users. Academic staff also believe that the library has a positive impact on their teaching, learning and research. The overall satisfaction with the library services received a satisfactory rating.

The study is limited to the University of Malaya Library and its branch libraries, thus generalization to other academic libraries is premature at this stage.

This paper will be helpful to libraries to improve library services, especially in assisting academic staff in teaching and research. Though the quality of library service is perceived as just above average, academics will continue to use the library resources and be dependent on librarians for their information needs.

Measuring service quality is a marketing trend that is gradually proving its worth in library and information science. This study contributes to the growing body of knowledge on service quality measures in academic libraries.

At the end of the case discussion, students would be able to: design key account selection criteria for the organization’s vast clients; analyse the application of key account management (KAM) strategies in a business-to-business (B2B) segment for revenue growth for a medium-scale enterprise; recognize the significance of KAM in a B2B space for a scale enterprise; and assess the proficiency of Univ Manufacturers (UM) for KAM in addressing the existing challenges and managing business growth.

Tarun, the proprietor of UM, has recently received two big orders, one from Ram Enterprise, a long-standing client since 2011 of INR 2m (10% profit margin) and another order from a new client based in Chennai, a growing pharmaceutical products company, of order size of INR 2.3m (15% profit margin). Both the orders were required to be completed within 15 days. The new client with higher value and better returns could help UM enter the south India market, whereas business from the existing client was also profitable. Despite both orders being necessary for business survival and expansion, fulfilling them on schedule posed a huge challenge. Tarun wanted to fulfil both orders. He knew similar situations might arise in future. He advocated prioritizing customers, which made him contemplate KAM. On what basis he should categorize his customers was a big question. Tarun felt that it was time for UM to strategize relationship management with his customers. He wanted to optimize the partnerships. Tarun knew he wanted to introduce KAM, but was firm-level internal capabilities were enough for key account execution. What would be the feasible outcomes if KAM is applied at UM? What must he do to prevent such situations in the future?

This case can be used in B2B marketing and sales management courses. The dilemma can be explained as part of a marketing course for postgraduate and executive programs.

Teaching notes are available for educators only.

CSS 8: Marketing.

Introduction: Cost competitiveness, customer focus, and sustainability compliance are essential for new-age firms to survive and succeed in the VUCA market environment. This study examines how automobile corporations have improved cost competitiveness, productivity, and product quality.

Purpose: This study examines the importance of cost competitiveness, customer focus, and sustainability compliance for the long-term survival of organisations in VUCA markets, looking at the practical efforts made by automobile corporations to enhance cost competitiveness, productivity, and quality.

Methodology: The study utilises a comprehensive analysis of the strategies and initiatives implemented by the selected automobile companies. It involves a review of relevant literature, case studies, financial data analysis, and interviews with key industry experts, providing a holistic understanding of the actions taken by these organisations to achieve their goals.

Findings: The study reveals that cost competitiveness, customer focus, and sustainability compliance are critical factors for the long-term survival and success of organisations in the automotive industry. The analysed automobile companies have undertaken practical efforts to improve cost competitiveness, enhance productivity, and ensure high-quality products, enabling them to navigate the challenges and maintain a competitive edge.

Significance: The findings of this study contribute to a deeper understanding of the importance of cost competitiveness, customer focus, and sustainability compliance in the automotive industry. It highlights the need for organisations to constantly monitor both qualitative and quantitative profit to avoid complacency and ensure long-term efficiency. The study’s insights are relevant to businesses operating in other sectors, as they face similar challenges in the VUCA market environment.

Artificial intelligence (AI) offers many benefits to improve predictive marketing practice. It raises ethical concerns regarding customer prioritization, market share concentration and consumer manipulation. This paper explores these ethical concerns from a contemporary perspective, drawing on the experiences and perspectives of AI and predictive marketing professionals. This study aims to contribute to the field by providing a modern perspective on the ethical concerns of AI usage in predictive marketing, drawing on the experiences and perspectives of professionals in the area.

The study conducted semistructured interviews for 6 weeks with 14 participants experienced in AI-enabled systems for marketing, using purposive and snowball sampling techniques. Thematic analysis was used to explore themes emerging from the data.

Results reveal that using AI in marketing could lead to unintended consequences, such as perpetuating existing biases, violating customer privacy, limiting competition and manipulating consumer behavior.

The authors identify seven unique themes and benchmark them with Ashok’s model to provide a structured lens for interpreting the results. The framework presented by this research is unique and can be used to support ethical research spanning social, technological and economic aspects within the predictive marketing domain.

La Inteligencia Artificial (IA) ofrece muchos beneficios para mejorar la práctica del marketing predictivo. Sin embargo, plantea preocupaciones éticas relacionadas con la priorización de clientes, la concentración de cuota de mercado y la manipulación del consumidor. Este artículo explora estas preocupaciones éticas desde una perspectiva contemporánea, basándose en las experiencias y perspectivas de profesionales en IA y marketing predictivo. El estudio tiene como objetivo contribuir a la literatura de este ámbito al proporcionar una perspectiva moderna sobre las preocupaciones éticas del uso de la IA en el marketing predictivo, basándose en las experiencias y perspectivas de profesionales en el área.

Para realizar el estudio se realizaron entrevistas semiestructuradas durante seis semanas con 14 participantes con experiencia en sistemas habilitados para IA en marketing, utilizando técnicas de muestreo intencional y de bola de nieve. Se utilizó un análisis temático para explorar los temas que surgieron de los datos.

Los resultados revelan que el uso de la IA en marketing podría tener consecuencias no deseadas, como perpetuar sesgos existentes, violar la privacidad del cliente, limitar la competencia y manipular el comportamiento del consumidor.

El estudio identifica siete temas y los comparan con el modelo de Ashok para proporcionar una perspectiva estructurada para interpretar los resultados. El marco presentado por esta investigación es único y puede utilizarse para respaldar investigaciones éticas que abarquen aspectos sociales, tecnológicos y económicos dentro del ámbito del marketing predictivo.

人工智能（AI）为改进预测营销实践带来了诸多益处。然而, 这也引发了与客户优先级、市场份额集中和消费者操纵等伦理问题相关的观点。本文从当代角度深入探讨了这些伦理观点, 充分借鉴了人工智能和预测营销领域专业人士的经验和观点。旨在通过现代视角提供关于在预测营销中应用人工智能时所涉及的伦理观点, 为该领域做出有益贡献。

本研究采用了目的性和雪球抽样技术, 与14位在人工智能营销系统领域具有丰富经验的参与者进行为期六周的半结构化访谈。研究采用主题分析方法, 旨在深入挖掘数据中显现的主要主题。

研究结果表明, 在营销领域使用人工智能可能引发一系列意外后果, 包括但不限于加强现有偏见、侵犯客户隐私、限制竞争以及操纵消费者行为。

本研究通过明确定义七个独特的主题, 并采用阿肖克模型进行基准比较, 为读者提供了一个结构化的视角, 以解释研究结果。所提出的框架具有独特之处, 可有效支持在跨足社会、技术和经济领域的预测营销中展开的伦理研究。