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The purpose of this paper is to emphasize the need for knowledge management (KM) in the teaching‐learning process in technical educational institutions (TEIs) in India, and to assert the impact of information technology (IT) based KM intervention in the teaching‐learning process.

The approach of the paper is basically conceptual and descriptive. The paper studies the role of KM in facilitating knowledge sharing among stakeholders in TEIs in India and elaborates on the need for knowledge management in the teaching‐learning process. A KM framework for enhancement of knowledge sharing by the use of shared intellectual repositories (IRs) is proposed for the enhancement of teaching and learning in technical educational institutions in India.

The authors value the impact that KM can have in enhancing the quality of teaching and learning in TEIs, and underscore the need for credible research into the benefits and challenges that the implementation of IT‐based KM intervention will provide.

The paper emphasizes the urgent need for improvement in quality of education in TEIs in India using the tools and processes of knowledge management. The importance of the proposed framework lies in augmenting the teaching‐learning process, improving productivity, enhancing communication among academia, researchers and professionals, enhancing student perception and understanding of subjects, and providing a common platform for pooling individual knowledge towards a common knowledge base.

The paper helps academicians to understand the importance of IT‐supported KM concepts, tools and practices towards quality teaching and learning. It provides useful inputs to TEIs, which must recognize that implementation of KM will influence knowledge sharing among faculty, researchers, practitioners, experts, professionals and students and enable quality education for students. Furthermore, the development of an IT‐based KM system will facilitate the promotion of institutional value in the competitive academic society. However there exists the need to evaluate the proposed framework in TEIs in India.

The purpose of this paper is twofold. First, in order to understand mobile customer relationship management (mCRM) and data mining application in the mCRM, this paper aims to present a conceptualization of mCRM in respect of data mining. Second, the paper also aims to develop the empirically grounded framework of the mCRM from data mining perspective.

The empirical paper is used to gain a conceptual view of mCRM. Semi‐structured interviews and contact methodology is used to form the main data source through which the major concerns and issues of mCRM are identified. This lead to holistic framework of mCRM. The paper followed the paradigm of natural science research on information technology by March and Smith and Hervner et al.

The framework identified three critical issues that are categorized as customer care information center, data store and data access systems, and mobile services and technology. The paper on various existing literatures in mCRM strategies and data mining leads to the development of the mCRM framework. The applications of methodology in data mining helped in identifying and exploring mCRM processes. The data mining based framework identifies issues related to customer attrition, customer life time value analysis and customer churn analysis while moving towards mCRM.

The suggested framework would serve as a guideline to all mCRM product vendors and will be considered as a structured consistent procedure for applying mCRM using data mining tools and techniques. The paper explored various studies in the area of mCRM and data mining and shed light on emerging issues in mCRM area. The suggested framework would give an organization, product developers, and management thinker's valuable insights on application of data mining tools and techniques in mCRM application.

The paper presents the hurdles and opportunities in implementing Business Intelligence (BI) in Indian organizations. In order to address the organizational, cultural and technological challenges in implementing BI, it is important for Indian organizations to understand the issues related to management context, situational factors and the systems and processes pertaining to Indian firms. This thought is pointed out and emphasized in this paper. Indian firms today have been finding ways to improve their business practices to gain competitive advantage. One of the most talked about information technology enabled business innovation is the emergence of Business Intelligence (BI). Indian organizations have always been oriented toward accumulating and applying knowledge to create economic value and competitive advantage and the need to do it has never been more. The real hurdle of using BI in Indian firms is how many of the Indian companies are really aware of the existence of BI tools and how many are taking advantage of this. Barring very few companies in India, not all firms bank on BI. This paper explores the hurdles and opportunities of BI in India.

The purpose of this paper is to propose a common business school framework based on knowledge resources that are available in business schools. To support the arguments made based on review literature, the paper presents the holistic framework of knowledge resources in a business school and also provides a knowledge value chain in sharing the resources. The paper then applies the framework to study the provisions of knowledge recourses in a business school to examine the effect of knowledge sharing.

Drawing on insights from review literature the paper starts from a broad view on knowledge sharing in business schools. Then the paper proposes a knowledge‐sharing framework. To evaluate the framework, the paper investigates one of the business school's knowledge sharing tools. Wherever data were insufficient, logical interpretation is provided. The framework is compared with respect to business schools. Then it is analyzed with the business school's online knowledge sharing tool.

The paper finds that the rapid pace of change in knowledge resources is increasingly influencing the creation, publication and dissemination of educational materials and sharing information – thus, finally having an impact on learning. The paper finds that there is an urgent need to share all the knowledge resources in business schools for effective delivery. Some important general observations are argued for, while studying the online knowledge‐sharing tool. First, effective information technology infrastructure for sharing knowledge resources is a must, and second, all the resources need to be shared online. The paper finds that the purpose of knowledge sharing in business schools would create value in the form of academic and personal value.

The paper provides useful suggestions for business schools to adopt knowledge‐sharing tools. The framework proposed can be adopted by any business school worldwide to enhance their ratings and processes. The paper reveals through study that, business schools must actively explore the immense potential and the wide ramifications of the knowledge resources that are hidden in different academic domains rather than just waiting to adopt passively some tool at different academic domains. This paper sets out to inspire business school leaders to find out more on knowledge sharing tools. The chosen research strategy was to study business schools and analyze their content, looking for similarities and complementarities in their nature and their strategies with respect to knowledge sharing. First, the paper identified existing systems, examining available processes in the business school, and expanding them through more searches. This paper is based on reflections combined with inputs from informal discussions and interviews conducted with several management educators, management consultants, management students and managers, which had taken place at several meetings, seminars and conferences over the last few years.

The purpose of the paper is to provide a thorough analysis of the concepts of business intelligence (BI), knowledge management (KM) and analytical CRM (aCRM) and to establish a framework for integrating all the three to each other. The paper also seeks to establish a KM and aCRM based framework using data mining (DM) techniques, which helps in the enterprise decision‐making. The objective is to share how KM and aCRM can be integrated into this seamless analytics framework to sustain excellence in decision making using effective data mining techniques and to explore how working on such aCRM system can be effective for enabling organizations delivering complete solutions.

This paper is based on focused and dedicated study of the literature present on the aCRM, KM and data mining techniques. The paper considered how to develop a strategy and operational framework that would build aCRM on the foundation of existing DM techniques and KM approach to meet the business challenges. Based on this research, a customized, integrated framework, to match the needs of business was designed.

KM focuses on managing knowledge within the organization and aCRM focuses on gaining analytical information from the customer data. Both KM and aCRM help in the decision making process and understanding. This knowledge is difficult to uncover. Hence, this paper explains the importance of data mining tools and techniques to uncover knowledge by the integration between KM and aCRM. This paper presents an integrated KM and aCRM based framework using DM techniques.

All the firms may not be in favor of adopting KM while implementing aCRM. The KM requires a convalesce of organizational culture, technology innovations, effective work force in culminating knowledge dissemination in all business domains.

The organizations implementing this knowledge enabled aCRM framework would be easily able to convert their business knowledge via the analytical CRM to solve many business issues, such as increase response rates from direct mail, telephone, e‐mail, and internet delivered marketing campaigns, increased sales and increased services. With aCRM, firms can identify their most profitable customers and use this knowledge for promotional schemes for those customers as well as identify future customers with prediction on ROI.

The need for the integration of KM and aCRM is clear. It is written for practitioners who are looking for approaches to improve business performance and maintain high profits for their business by incorporating knowledge‐enabled aCRM in their setup.

The amount of data getting generated in any sector at present is enormous. The information flow in the pharma industry is huge. Pharma firms are progressing into increased technology‐enabled products and services. Data mining, which is knowledge discovery from large sets of data, helps pharma firms to discover patterns in improving the quality of drug discovery and delivery methods. The paper aims to present how data mining is useful in the pharma industry, how its techniques can yield good results in pharma sector, and to show how data mining can really enhance in making decisions using pharmaceutical data.

This conceptual paper is written based on secondary study, research and observations from magazines, reports and notes. The author has listed the types of patterns that can be discovered using data mining in pharma data.

The paper shows how data mining is useful in the pharma industry and how its techniques can yield good results in pharma sector.

Although much work can be produced for discovering knowledge in pharma data using data mining, the paper is limited to conceptualizing the ideas and view points at this stage; future work may include applying data mining techniques to pharma data based on primary research using the available, famous significant data mining tools.

Research papers and conceptual papers related to data mining in Pharma industry are rare; this is the motivation for the paper.

The purpose of this paper is to study the provisions of information technology (IT) for development of academic resources and examines the effect of IT in academic institutions for sharing information.

The paper examines the role of IT in sharing information in academic institutions and explores the IT effectiveness in an academic context that is used to improve efficiency and effectiveness of creation and sharing of information among people.

The paper finds that the rapid pace of change in IT is increasingly influencing the creation, publication and dissemination of educational materials and sharing information. IT facilitates connections across disciplinary, institutional, geographical, and cultural boundaries. Taken together, the computational and communication capabilities in IT offer great promise for supporting continual improvements in academia. They also underscore the need for credible research into the practical benefits and limitations of teaching and learning in settings enchanced by IT.

The paper provides useful suggestions for colleges and universities, which must recognize that, increasingly, the influence and demands of their respective IT ventures extend beyond physical locations that include remote or distance learners, part‐time students, collaborations with industry and consortia of other institutions. The construction of a unified IT infrastructure should be responsive to the needs of all its users in academia. IT development and implementation must demonstrate definable benefits to academia.

The purpose of this paper is to propose the important principles for successful CRM analytics (aCRM) in organizations.

The paper employs the approach of identifying the major critical business information needed for aCRM in organizations. The approach to identify the critical business is based on the cross‐pollination of information related to aCRM. Analyzing aCRM from the hybrid blends of business sources provides a clear understanding in a more realist dimension.

The paper finds that knowing what to capture is fundamental to business alignment of aCRM in a typical business environment.

The successful implementation of the principles of aCRM will help organizations to measure the effectiveness of their direct marketing activities.

The chosen research strategy was to survey aCRM in organizations that are being incorporated worldwide and analyze their content, looking for similarities and complementarities in their nature of business strategies. First, the paper identified existing aCRM systems, examining available listings of aCRM systems in organizations, and expanding them through Internet searches. The paper then collected detailed information on aCRM systems, and examined the descriptions, nature of organizations, their business strategies, their view on business values etc.