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Management is a blended discipline with characteristics of both science and art. The component science is to be learnt and art to be practiced. This art component of management education is the really challenging part, and this is where the management educational institutions build their uniqueness. The present management education needs a paradigm shift in order to fulfill the growing futuristic demands of the industry. The quality gaps identified through review of literature are preach–practice, industry–institution linkages, quality faculty, updated curriculum, soft skills development, research, online platforms and updated pedagogies. The researcher has taken an attempt to do a dyadic study in India.

The researcher has taken an attempt to do a dyadic study in India to analyze the perception of the management faculty and management students toward filling the quality gaps for a futuristic management education. The study has included 125 management faculties and 1200 management students through simple random sampling, and the data are collected through survey method.

The independent “t” test has been applied. The management faculties exhibit high degree of acceptance for filling the quality gaps such as research gaps, online platforms and industry and institution linkages since the mean scores are 4.22, 4.20 and 4.14 respectively. The management students exhibit high degree of acceptance for filling the quality gaps such as online platforms, updated pedagogies and soft skills development since the respective mean scores are 3.87, 3.85 and 3.82.

The research area chosen for the study is reflecting the scenario of management education in developing countries such as India. The scenario may differ to developed countries.

When the quality of the management education is enriched, it will create global management professionals who will contribute qualitatively to the industries and uplift the overall global economic developments.

The present study is enriching the existing literature review, by comparing the perception of both the counterparts, the management faculty and students, about the teaching and learning process. Thus, it can be concluded that the outcome of this study is relevant for the management educational institutions, and the need of the hour for the management education is definitely to fill the quality gaps, and all the management educational institutions have to be prepared enough to overcome the gaps with the support of their well-planned strategies. The futuristic demands are ever growing, even then the gap between the present and future expectations of the industry need to be well considered and bridged. As a result of the paradigm shift, the quality of the management education will be enriched, and it will create global management professionals. As a result of this quality-conscious education, a reputed brand image and set of loyal customers may also be developed (Akareem and Hossain, 2016). The learners of quality management education will contribute qualitatively to the industries and uplift the overall global economic developments. Further research is needed to measure the post impact of filling the quality gaps in the arena of management education.

The quality gaps identified through review of literature are preach–practice, industry–institution linkages, quality faculty, updated curriculum, soft skills development, research, online platforms and updated pedagogies.

Kerala is one of India's most advanced states in human development and other social indices. This study aims to look at the management education scenario in Kerala from a macro-perspective and examines the existing trends, major issues and present challenges facing the sector.

The study is driven by previously unexplored secondary data published by India's apex technical education regulator–All India Council for Technical Education (AICTE). Qualitative and quantitative assessments are assimilated from the organization, dissection and categorization of unit-level data.

Business schools (B-schools) in the state are facing acute distress in enrolments. There are intra-regional variations in institution count and occupancy rates. The vast majority of the institutions have no accreditation at all. The entire sector is facing a protracted decline.

The study has relied primarily on descriptive statistics considering a single discipline within the higher education sector in Kerala. Future studies should look at other disciplines (engineering, medicine) simultaneously. Use of statistical methods like panel data regression would be beneficial to find hidden trends in cross-sectional and longitudinal time-series data.

Management education in Kerala is facing an existential crisis. This has implications for the state's economic development. The paper creates strong imperatives for government policymaking to forestall the complete decline of the sector.

A highly literate state with advanced human development indices need not be a suitable location for building a knowledge-based economy. Government policy has strong implications for the development and sustenance of higher education. The relationship between government and business schools are symbiotic.

The paper maps the progression of B-schools from local to global. A typology of privately funded B-schools is proposed. The conceptual framework advanced in this study can contribute to further literature development. The suggested policy initiatives are applicable not only to Kerala but also to other tightly regulated markets.

In this paper, the authors present different methods for reconfigurable finite impulse response (RFIR) filter design. Distributed arithmetic (DA)-based reconfigurable FIR filter design is suitable for software-defined radio (SDR) applications. The main contribution of reconfiguration is reuse of registers, multipliers, adders and to optimize various parameters such as area, power dissipation, speed, throughput, latency and hardware utilizations of flip-flops and slices. Therefore, effective design of building blocks will be optimized for RFIR filter with all the above parameters.

The modified, direct form register structure of FIR filter contributes the reuse concept and allows utilization of less number of registers and parallel computation operations. The disadvantage of DA and other conventional methods is delay increases proportionally with filter length. This is due to different partial products generated by adders. The usage of adder and multipliers in DA-FIR filter restricts the area and power dissipation because of their complexity of generation of sum and carry bits. The hardware implementation time of an adder can be reduced by parallel prefix adder (PPA) usage based on Ling equation. PPA uses shift-add multiplication, which is a repetitive process of addition, and this process is known as Bypass Zero feed multiplicand in direct multiplication, and the proposed technique optimizes area-power product efficiently. The modified DA (MDA)-based RFIR filter is designed for 64 taps filter length (N). The design is developed by using Verilog hardware description language and implemented on field-programmable gate array. Also, this design validates SDR channel equalizer.

Both RFIR and SDR are integrated as single system and implemented on Artix-7 development board of XC7A100tCSG324 and exploited the advantages in area-delay, power-speed products and energy efficiency. The theoretical and practical comparisons have been carried out, and the results are compared with existing DA-RFIR designs in terms of throughput, latency, area-delay, power-speed products and energy efficiency, which are improved by 14.5%, 23%, 6.5%, 34.2% and 21%, respectively.

The DA-based RFIR filter is validated using Chipscope Pro software tool on Artix-7 FPGA in Xilinx ISE design suite and compared constraint parameters with existing state-of-art results. It is also tested the filtering operation by applying the RFIR filter on Audio signals for removal of noisy signals and it is found that 95% of noise signals are filtered effectively.

Can marginalized stakeholders whose issues with the firm are unaddressed because of their resource and legitimacy constraints (low salience) increase their salience by capitalizing on certain inherent properties of their stakeholder environment? The purpose of this paper is to examine this question using a real life case of the Coca-Cola controversy in Kerala, India, where a group of local aboriginals succeeded against all odds in shutting down a Coca-Cola plant which was allegedly polluting their water resources. The analysis of the longitudinal data collected in this case supported the hypotheses that the ability of marginalized stakeholders to increase their salience by influencing other stakeholders depends both on the attributes of other stakeholders (favorable, unfavorable and indifferent), and the triadic relationships among them. The triadic relationships among stakeholders show a tendency toward balance, and become particularly relevant when the marginalized stakeholder’s issues are perceived to have low legitimacy due to their normative nature (which makes them difficult to be translated into economic terms). The findings offer important insights to both marginalized stakeholders and firms, on proactively managing their stakeholder environments.

The authors use a single case: the controversy surrounding Coca-Cola in Kerala, India, and conduct a longitudinal study examining both qualitative and quantitative data.

The findings indicate that marginalized stakeholders can capitalize on certain inherent properties of their stakeholder networks and increase their salience to influence the focal firm. Specifically, the authors find that stakeholder salience is a function of both the dyadic relationships between stakeholders, and the triadic relationships among them. These triadic relationships tend to a state of balance over time. The authors also find that when the stakeholder issue is normative in nature the triadic relationships are more important in increasing stakeholder salience.

The authors conduct an original case study research, with primary qualitative data collected by the authors. The authors also develop a quantitative model to examine this data to arrive at the findings. Therefore the authors contribute both theoretically and empirically to stakeholder salience literature.

The purpose of this paper is to design organization message content strategies and analyse their information diffusion on the microblogging website, Twitter.

Using data from 29 brands and 9392 tweets, message strategies on twitter are classified into four strategies. Using content analysis all the tweets are classified into informational strategy, transformational strategy, interactional strategy and promotional strategy. Additionally, the information diffusion for the developed message strategies was explored. Furthermore, message content features such as text readability features, language features, Twitter-specific features, vividness features on information diffusion are analysed across message strategies. Additionally, the interaction between message strategies and message features was carried out.

Finding reveals that informational strategies were the dominant message strategy on Twitter. The influence of text readability features language features, Twitter-specific features, vividness features that influenced information diffusion varied across four message strategies.

This study offers a completely novel way for effectively analysing information diffusion for branded tweets on Twitter and can show a path to both researchers and practitioners for the development of successful social media marketing strategies.

Consumer-perceived review attitude determines consumer overall information adoption and is a core part of consumer’s online-shopping. This study aims to focus on factors that could influence consumer review attitude and can be used by marketers to shape individual information perception.

The study used the questionnaire method to collect data from online shoppers and the modelling of structural equations as an empirical approach to analyse the data.

The findings demonstrate that both systematic and heuristic cues impact the reviewer’s credibility and perceived website attitude differently, which, in turn, influence review attitude. Review characteristics, such as factuality, consistency and relevancy, have a positive relationship with reviewer credibility, while only review consistency and relevancy appears to have a relationship with review attitude. Website characteristics such as reputation, familiarity and social interactivity positively influence the website attitude, which positively influences review attitude. Apart from this, review skepticism has a significant negative relationship with review attitude.

This study could help to foster a positive attitude towards online reviews. Digital marketers need to motivate trusted reviewers to post consistent, fact-based reviews. Further improving the overall website reputation and interactivity could bring a positive attitude towards the reviews. Also, digital marketers must filter and avoid contradictory reviews or reviews that have a bipolar message and reviews expressing numerous emotions to enhance review relevance and consistency.

The current study addresses the need to understand the formation of consumer review attitude through both review and website characteristics using heuristic – systematic model. The paper captures the complex process undergone by the consumer to decipher review attitude and thereby extend the understanding of consumer information processing.

The purpose of this paper is to study numerically the influence of a magnetic field on the transient free convective boundary layer flow of a nanofluid over a moving semi-infinite vertical cylinder with heat transfer

The problem is governed by the coupled non-linear partial differential equations with appropriate boundary conditions. The fluid is a water-based nanofluid containing nanoparticles of copper. The Brinkman model for dynamic viscosity and Maxwell–Garnett model for thermal conductivity are used. The governing boundary layer equations are written according to The Tiwari–Das nanofluid model. A robust, well-tested, implicit finite difference method of Crank–Nicolson type, which is unconditionally stable and convergent, is used to find the numerical solutions of the problem. The velocity and temperature profiles are studied for significant physical parameters such as the magnetic parameter, nanoparticles volume fraction and the thermal Grashof number Gr. The local skin-friction coefficient and the Nusselt number are also analysed and presented graphically.

The present computations have shown that an increase in the values of either magnetic parameter M or nanoparticle volume fraction decreases the local skin-friction coefficient, whereas the opposite effect is observed for thermal Grashof number Gr. The local Nusselt number increases with a rise in Gr and ϕ values. But an increase in M reduces the local Nusselt number.

This paper is relatively original and presents numerical investigation of transient two-dimensional laminar boundary layer free convective flow of a nanofluid over a moving semi-infinite vertical cylinder in the presence of an applied magnetic field. The present study is of immediate application to all those processes which are highly affected by heat enhancement concept and a magnetic field. Further the present study is relevant to nanofluid materials processing, chemical engineering coating operations exploiting nanomaterials and others.

The purpose of this paper is to minimize environmental problems related to raw poultry manure application by stabilizing its nutrient and organic matter (OM) content. This can be achieved by prior digestion before its application to agricultural soils.

In the present study, changes in physicochemical and microbial properties of poultry litter were studied in order to evaluate the suitability of using the digested (stabilized) product for soil amendment. The poultry litter was digested in autothermal thermophilic aerobic digestor (ATAD) where organic solids were degraded and the heat released during the microbial degradation was used to maintain the thermophilic temperatures ( < 50ºC) at a hydraulic retention time of about 3 d.

Results of this study showed that the poultry litter undergoes physicochemical and microbial changes similar to other digestion systems; these changes include self-heating, relative increase in Cu, Zn, Fe, Mn, P, K and NO₃-N and decrease in microbial population numbers, C, OM and NH₄-N contents.

ATAD is an effective method for the conversion of poultry litter into organic fertilizer, which can be readily applied to the agriculture land. ATAD is an eco-friendly, cost effective method which also reduces the length of stabilization.

The purpose of this paper is to propose and develop a distinct perspective from the consumer culture theory in the context of Muslim consumers, marketing and the feminist theory.

This paper is based on a critical review of the literature for insights into the consumer culture theory in the context of Muslim consumers, Islamic marketing paradigm and the feminist theory.

The study suggests that scholars in the area of marketing may consider drawing on the theory of Islamic consumer culture, film and feminist theory. This theory can be used as a platform to understand the Muslim mind and the related cultural traits to create greater engagement and interest in Malaysian horror genres among local and international audience. The Malaysian local horror genres currently have an interesting blend of Islam, local culture and gender biases addressing the universal concept of good against the evil forces, and this has the potential of offering new experiences to especially international audiences.

This study is purely theory-based and is aimed at knowledge development in this field of Islamic consumer culture. It also invites academics to engage in scholarly activities toward theory building in this area.

The study provides directions for areas of possible future research in Islamic marketing, consumer culture and film studies.

This study intends to broaden the research efforts in Islamic consumer culture marketing in terms of innovative ways to serve this growing Muslim market.

This study contributes to the discipline by providing new perspectives in Islamic consumer culture inquiry in the context of film studies.

The purpose of this study is to compare the classification learning ability of our algorithm based on boosted support vector machine (B-SVM), against other classification techniques in predicting the credit ratings of banks. The key feature of this study is the usage of an imbalanced dataset (in the response variable/rating) with a smaller number of observations (number of banks).

In general, datasets in banking sector are small and imbalanced too. In this study, 23 Scheduled Commercial Banks (SCBs) have been chosen (in India), and their corresponding corporate ratings have been collated from the Indian subsidiary of reputed global rating agency. The top management of the rating agency provided 12 input (quantitative) variables that are considered essential for rating a bank within India. In order to overcome the challenge of dataset being imbalanced and having small number of observations, this study uses an algorithm, namely “Modified Boosted Support Vector Machines” (MBSVMs) proposed by Punniyamoorthy Murugesan and Sundar Rengasamy. This study also compares the classification ability of the aforementioned algorithm against other classification techniques such as multi-class SVM, back propagation neural networks, multi-class linear discriminant analysis (LDA) and k-nearest neighbors (k-NN) classification, on the basis of geometric mean (GM).

The performances of each algorithm have been compared based on one metric—the geometric mean, also known as GMean (GM). This metric typically indicates the class-wise sensitivity by using the values of products. The findings of the study prove that the proposed MBSVM technique outperforms the other techniques.

This study provides an algorithm to predict ratings of banks where the dataset is small and imbalanced. One of the limitations of this research study is that subjective factors have not been included in our model; the sole focus is on the results generated by the models (driven by quantitative parameters). In future, studies may be conducted which may include subjective parameters (proxied by relevant and quantifiable variables).

Various stakeholders such as investors, regulators and central banks can predict the credit ratings of banks by themselves, by inputting appropriate data to the model.

In the process of rating banks, the usage of an imbalanced dataset can lessen the performance of the soft-computing techniques. In order to overcome this, the authors have come up with a novel classification approach based on “MBSVMs”, which can be used as a yardstick for such imbalanced datasets. For this purpose, through primary research, 12 features have been identified that are considered essential by the credit rating agencies.