Sajeev G.P.,Government Engineering College Kozhikode |
Sebastian M.P.,Indian Institute of Management Kozhikode IIMK
Evolving Systems | Year: 2011
Web caches are useful in reducing the user perceived latencies and web traffic congestion. Multi-level classification of web objects in caching is relatively an unexplored area. This paper proposes a novel classification scheme for web cache objects which utilizes a multinomial logistic regression (MLR) technique. The MLR model is trained to classify web objects using the information extracted from web logs. We introduce a novel grading parameter worthiness as a key for the object classification. Simulations are carried out with the datasets generated from real world trace files using the classifier in Least Recently Used-Class Based (LRU-C) and Least Recently Used-Multilevel Classes (LRU-M) cache models. Test results confirm that the proposed model has good online learning and prediction capability and suggest that the proposed approach is applicable to adaptive caching. © 2010 Springer-Verlag.
Ramachandran N.,Indian Institute of Management Kozhikode IIMK |
Sivaprakasam P.,Sri Vasavi College |
Thangamani G.,Indian Institute of Management Kozhikode IIMK |
Anand G.,Indian Institute of Management Kozhikode IIMK
Campus-Wide Information Systems | Year: 2014
Purpose – Cloud Computing (CC) technology is getting implemented rapidly in the educational sector to improve learning, research and other administrative process. As evident from the literature review, most of these implementations are happening in the western countries such as USA, UK, while the level of implementation of CC in developing countries such as India is rare. Moreover, implementing CC technology in the educational sector require various decisions to be made by the managers of the Information Technology (IT) department such as selecting suitable deployment model, vendor providing cloud service, etc. in their respective university or institute. The purpose of this paper is to attempt to address one such decision. Since, different types of CC deployment are available; selecting a suitable one plays a key role, as it might have an impact on the requirements of various stakeholders such as students, teachers, administrative staff (especially the staff members in the IT department), etc. apart from affecting the overall performance of the facilities such as a laboratory. Naturally, a proper decision by analysing multiple perspectives has to be made while carrying out such strategic initiatives by any educational institute.Design/methodology/approach – A case study methodology has been chosen as the research methodology to discuss and demonstrate the above decision problem that was faced in real time by one of the educational institutes in India, offering high-quality management education. The IT managers of this institute were planning to switch over to CC technology for the computer laboratory and they have to make a decision of choosing suitable alternative CC deployment models such as private cloud (PRC), public cloud (PUC), community cloud (COC), hybrid cloud (HYC), etc. by analysing and comparing them based on various factors and perspectives such as elasticity, availability, scalability, etc. Since, multiple factors are involved in making such a strategic decision, the most commonly used Multi-Criteria Decision Making (MCDM) model – namely, the Analytic Hierarchy Process (AHP) is used as a decision support during the decision making process.Findings – The team of decision makers, who were planning to implement CC in the case institute, found that PRC is best as they believed that it would provide adequate cost savings, apart from providing necessary security to maintain confidential information such as student’s detail, grades, etc.Research limitations/implications – The results obtained are based on a single case study. Hence, they cannot be generalized for institutions across educational sector. However, the decision making situation and understanding its impact on the stakeholders of the educational institute can be common across various educational institute.Practical implications – Using a real-life case study of an educational institute, this paper presented a strategic decision making situation, which needs to be considered by the IT managers of the educational institutes when they decide to switch over to CC technology. Various criteria to be considered during the decision making process was identified from the literature review were identified and enumerated. These factors would useful for the IT managers of the different educational institute and they can suitably add or delete these decision criteria as per their requirements and situation at hand. Moreover, the algorithm of AHP, which was used as a decision support, was presented in a step-by-step manner, which should be beneficial for the practitioners to apply the same for similar decision making situations.Originality/value – It is believed that this paper would be the first to report on a strategic decision of choosing the deployment model for CC technology especially in the educational sector. Similarly, this paper would also contribute to the field of CC, as it lists out the decision criteria that are to be considered for making the above decision, which has not got adequate importance. Lastly, this paper is also unique in the realm of AHP because application for a decision problem in the field of CC especially in the educational sector is least reported. © Emerald Group Publishing Limited.
Nanath K.,Indian Institute of Management Kozhikode IIMK |
Radhakrishna Pillai R.,Indian Institute of Management Kozhikode IIMK
International Conference on Information Systems, ICIS 2012 | Year: 2012
Extant Green IT practices and reports reveal that many organizations implementing Green IT face the problem of sustaining Green IT initiatives to gain long term advantage. This study attempts to address the issue by proposing a sustainability model for Green IT initiatives. It evaluates longitudinal changes in Green IT environmental performance of 24 firms featured in the top Green IT rankings of Computerworld. These rankings have associated mini case studies, revealing the Green IT achievements, strategies and launch dates. This study further explores the difference between sustainers and non-sustainers empirically. This would help to investigate the factors that may be antecedents to sustained Green IT performance using discriminant analysis. Results indicate that out of the three proposed dimensions: Factors promoting sustainable culture, Business Process and Organizational properties; the first two dimensions turned out to be the most significant ones in ensuring the Sustainability of Green IT.
Narayanamurthy G.,Indian Institute of Management Kozhikode IIMK |
Gurumurthy A.,Indian Institute of Management Kozhikode IIMK
Journal of Indian Business Research | Year: 2015
Purpose – This study aims to understand the structure of downstream network from a supply chain (SC) perspective using a case of an Indian alcoholic beverage manufacturing company. In the SC literature, many researchers and practitioners have studied the design of upstream supplier network. Very few studies have documented the design of downstream network comprising distributors, warehouses, retailers, etc. and current study attempts to contribute to this limited literature. In addition, this study also tries to understand the influence of downstream SC, if any, on top management strategies. Finally, it assesses the SC quality using the standard set of factors and provides insights for its improvement. Design/methodology/approach – Single case study approach has been utilized to understand the configuration of downstream SC. A distillery in southern part of India which distributes a variety of liquor products across the market has been chosen for this study. Different data collection approaches have been adopted to understand the distribution channels prevailing in the market. In addition to the internal documents, semi-structured interviews were conducted with salesmen employed by the distillery for different group of outlets, top management of the distillery, outlet owners and counter sales person. Findings – Different distribution channels constituting the downstream SC network of the industry in the market studied have been identified to be retails and bars, institutions, clubs, modern trade, maximum retail price and Mysore Sales International Limited. Each of the distribution channels has clearly defined their boundaries for reaching different segment of consumers. Significant influence of the existing distribution channels on strategic decisions such as new product development and pricing were noticed. Interesting inferences were obtained on the relationships existing between the distilleries and different distribution channels. Insights were also gathered on the regulatory role played by the government between the manufacturers and distributors. Few marketing and promotional strategies adopted by companies to strengthen their downstream relationships with distribution channels and, in turn, with consumers have also been discussed. The quality of alcoholic beverage SC has been assessed and was found to perform on par with the set standards of quality in robustness factors and enabling factors. Training factor needs to be further improved by providing salesmen with exposure to best practices. Effort also needs to be taken to improve in the complicating factors, i.e. the testability and time. Research limitations/implications – This study is limited to the experience of a single alcoholic beverage manufacturer in the Karnataka state in India. SC of alcoholic beverage industry in India varies across states and depends on State Government regulations. Hence, the obtained results and inferences cannot be generalized across the industries and geographies. Future studies can be carried out in different locations across the country to understand the structure and dynamics of downstream SC in this industry. Scope also exists to study how the deficiencies identified in the SC can be improved and how alcoholic beverage firms entering India adapt to the prevailing SC structure. Comparative study of downstream SC of different industries can also be conducted. Practical implications – Academicians and practitioners can consider this paper as a source to understand the configuration of downstream SC of alcoholic beverage industry. More than that, this study provides a counter-intuitive inference for researchers and practitioners that choice of distribution channels have influence on the strategic decisions such as pricing and product development. Therefore, it becomes necessary to factor in the target distribution channel at the product design phase itself. This study may also help in performing a comparative study of downstream SC – especially the distribution network of different industries and identify best practices that can be adopted across the industries. Application of the standard set of factors from the food SC quality assessment literature have been demonstrated in this study to assess the downstream SC of the alcoholic beverage industry studied. In addition, this study provides several insights by detailing the structure of the SC for other alcoholic beverage manufacturers who are planning to enter Indian market. Originality/value – According to author’s knowledge, it is believed that this is the first study to report the configuration of downstream SC of the alcoholic beverage industry specifically from India apart from describing their influence on strategic decisions of the company. © Emerald Group Publishing Limited.